Next Article in Journal
Infliximab for the Treatment of Inflammatory Labyrinthitis: A Retrospective Cohort Study
Next Article in Special Issue
Sex Differences in Repolarization Markers: Telemonitoring for Chronic Heart Failure Patients
Previous Article in Journal
Cardiopulmonary Profiling of Athletes with Post-Exertional Malaise after COVID-19 Infection—A Single-Center Experience
Previous Article in Special Issue
Sex-Related Differences in Outpatient Healthcare of Acute Coronary Syndrome: Evidence from an Italian Real-World Investigation
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

The Impact of Physical Activity and Inactivity on Cardiovascular Risk across Women’s Lifespan: An Updated Review

by
Valentina Bucciarelli
1,
Anna Vittoria Mattioli
2,3,
Susanna Sciomer
4,
Federica Moscucci
4,
Giulia Renda
5 and
Sabina Gallina
5,*
1
Cardiovascular Sciences Department, Azienda Ospedaliero—Universitaria delle Marche, 60126 Ancona, Italy
2
Department of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia, 41124 Modena, Italy
3
National Institute for Cardiovascular Research-INRC, 40126 Bologna, Italy
4
Department of Clinical and Internal Medicine, Anesthesiology and Cardiovascular Sciences, University of Rome ‘Sapienza’, Policlinico Umberto I, 49971 Rome, Italy
5
Department of Neuroscience, Imaging and Clinical Sciences, University of Chieti-Pescara, 66100 Chieti, Italy
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2023, 12(13), 4347; https://doi.org/10.3390/jcm12134347
Submission received: 3 May 2023 / Revised: 8 June 2023 / Accepted: 25 June 2023 / Published: 28 June 2023

Abstract

:
Physical inactivity (PI) represents a significant, modifiable risk factor that is more frequent and severe in the female population worldwide for all age groups. The physical activity (PA) gender gap begins early in life and leads to considerable short-term and long-term adverse effects on health outcomes, especially cardiovascular (CV) health. Our review aims to highlight the prevalence and mechanisms of PI across women’s lifespan, describing the beneficial effects of PA in many physiological and pathological clinical scenarios and underlining the need for more awareness and global commitment to promote strategies to bridge the PA gender gap and limit PI in current and future female generations.

1. Introduction

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in the female population [1]. There are substantial gender differences in the pathophysiology of CVD, principally related to estrogen’s protective anti-inflammatory and anti-apoptotic role [2]. Besides traditional CV risk factors, there is an evolving group of risk factors specific to the female gender, including autoimmune disease, breast cancer treatment, cardio-metabolic gestational disorders, and menopause [3,4]. Physical inactivity (PI) is defined as an insufficient physical activity (PA) level to meet present PA recommendations for age and represents a significant modifiable traditional CV risk factor still hard to counteract. This occurs regardless of the abundance of scientific evidence supporting PA as one of the most effective non-pharmacological therapies in primary and secondary CV prevention, with an outstanding effect on vascular homeostasis [5,6,7,8,9,10]. Furthermore, the role of regular PA in preventing and treating non-communicable diseases (NCDs) has been widely demonstrated. The data from a prospective cohort of adults from the United States (63% women) indicated the nearly maximum association with lower mortality achievable by completing, during middle and late adulthood, 150–300 min per week of vigorous PA, 300–600 min per week of moderate PA, or an equivalent combination of both [11,12]. PA showed robust beneficial associations with different mental health conditions, including anxiety and depression, both in the general population and in women, across all lifespans [13,14,15,16,17].
Although the efforts made by the leading international scientific societies to promote adherence to a correct lifestyle, including a healthy diet, adequate levels of PA, and a concomitant reduction in PI, the latest World Health Organization (WHO) records highlighted that, worldwide, 1 in 4 adults and 3 in 4 adolescents (aged 11–17 years) still do not currently meet the global recommendations for PA, with higher levels of PI in economically developed countries [18]. The global costs of PI to healthcare systems are exorbitant, estimated at INT$53.8 billion in 2013 and will reach a cost of INT$520 billion by 2030 if the prevalence of PI does not change [19]. Moreover, globally, PI causes 7.2% of all-cause deaths and 7.6% of CVD deaths, with the more significant relative burden in high-income countries [20]. In women older than 30, the population risk of CVD associated with PI seems to exceed that of other risk factors [21]. The economic burden of PI is disproportionately spread across regions, with the highest economic cost occurring among high-income countries, which account for 70% of expenditure on treatment for illnesses related to PI [22]. On the other hand, a strong association between PA and the risk of developing CVD has been extensively described, with a median risk reduction of CV risk more significant in women than men [23]. Moreover, the level of global CV risk does not alter the inverse connection between PA and incident CVD in women, suggesting that the promotion of PA is essential, regardless of subjective CV risk [24]. Finally, PA in women can be a protective factor in the etiology of many non-traditional CV risk factors, i.e., cardio-metabolic gestational disorders, autoimmune diseases, breast cancer, and breast-cancer-related treatments [25,26,27].
Regardless of the abovementioned outstanding positive effects of PA in women, according to the WHO data PI is more frequent and severe in the female population for all age groups, with a global average of 31.7% for inactive women vs. 23.4% for inactive men [18,28].
Going deeper into the statistical details, the latest National Health Interview Survey (NHIS) data about the levels of PA in the civilian non-institutionalized population of the United States (U.S.) suggested that the prevalence of PI decreased from 40.5% (1998) to 25.6% (2018), with a concomitant increase in meeting the recommended high aerobic PA levels from 26.0% (1998) to 37.4% (2018). However, the prevalence of PI in 2018 was still higher in women (27.8%) than in men (23.2%), and the prevalence of high aerobic PA levels remained lower in women (33%) than in men (42%) [29].
In Europe, about 35.4% of adults, predominantly from southern European countries, were inactive in 2016; in particular, regular PA decreases with age: only 1 in 4 adults older than 55 years old exercises at least once a week. In line with U.S. data, fewer women than men are active in Europe, especially in the youngest age group of 15 to 24 years old (73% of active men compared with 58% of active women) [30].
There are several multifaceted obstacles to women’s participation in PA and sports that can be divided into three main categories: economic and socio-cultural barriers, practical barriers, and knowledge barriers. Among the significant economic and socio-cultural barriers are the wrong belief that sport is masculine and exclusive, low female self-esteem, parents’ disagreement with sport, the fear of scholastic failure, family care, and housework. Practical obstacles include poverty, lack of financial resources, scarcity of leisure time, and scarcity of accessible, safe, and appropriate facilities. Finally, knowledge barriers include the need for more knowledge about the benefits of PA [31,32].
The PA gender gap begins early in life and may have short-term and long-term adverse effects on health outcomes, especially regarding CV status [33].
This paper aims to provide an up-to-date review of the evidence of PI and the benefits of PA in the female population throughout all women’s life stages, underlining the need for global commitment to endorse strategies to bridge the PA gender gap, overcome barriers to women’s participation to PA, and limit PI in current and future female generations (Figure 1).

2. Physical Activity and Inactivity in Infancy and Adolescence

2.1. Benefits of Physical Activity

In children and adolescents, regular PA provides many benefits regarding CV and cardio-metabolic fitness, bone health, mental well-being, and cognitive outcomes. Young people represent 24% of the worldwide population, and investing in their health is crucial, as childhood PA can affect adult health, with a biological and behavioral carry-over effect into adulthood regarding the global health status and a fitter lifestyle [34,35,36].
In 1989, Blair et al. proposed a model for the health consequences of childhood PA, suggesting that three main benefits derive from sufficient childhood PA: 1. improvement in childhood health status; 2. improvement in childhood quality of life; 3. improvement in adult health status. All three could significantly delay the onset of chronic disease and maintain sufficient activity in adulthood [37]. Much scientific evidence supports these hypotheses and confirms PA’s significant positive effect on cardiorespiratory fitness (CRF), body composition, insulin resistance, and CVD risk factors in childhood. Several observational studies documented the dose–response relations between PA and health, suggesting that the higher the PA, the greater the health benefit. However, experimental evidence suggests that even limited amounts of PA, especially if aerobic-based and of moderate or vigorous intensity, can provide great health benefits, especially in high-risk adolescents (i.e., obese with high blood pressure) [38]. It is well known that CRF is a good predictor of CV health starting from childhood, as higher levels of CRF in this period correlate to a better CV profile in adulthood. Data from the Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) study, in a population of 3528 adolescents from 10 European centers, confirmed the strong association between CRF and the ideal CV health index, according to the American Heart Association (AHA) indicators, and suggested that a CRF cutoff level of 40–47 mL/kg/min for boys and 35–42 mL/kg/min for girls is associated with a better CV health profile [39]. Other data from the HELENA database demonstrated that vigorous PA, rather than low-intensity PA, is effective in preventing obesity in adolescents, being negatively associated with indices of fat mass and positively associated with markers of muscle mass; in contrast, both average PA and at least moderate PA reduce total and central body fat in youth [40,41]. Moreover, higher vigorous PA (≥30 min/day) and lower sedentary behavior (<2 h/day) have a protective effect on cardio-metabolic risk factors [42]. Another sub-analysis from the HELENA database showed a negative association between PA and markers of insulin resistance, with low CRF modifying this relationship, especially in female adolescents [43]. A systematic review by Janssen et al. examined the relationship between PA and global health in school-aged children and young adults. The authors concluded that even if the results from many observational studies suggest a direct relationship between the amount of PA and the relevance of health benefits, several experimental studies revealed that even a limited volume of PA can have substantial health benefits in the young population at high CV risk. Regarding the type of PA, it seems that aerobic PA is successful at controlling blood pressure within both sexes, even if the effects of the volume and intensity of PA on blood pressure and the effect of age on the relationship between PA and blood pressure are still to be clarified [38]. The beneficial effects of PA on metabolic and psychological status have been confirmed even in children with type 1 diabetes [44]. Furthermore, moderate-to-vigorous PA is also associated with better sleep efficiency, the latter being associated with higher levels of CRF and a more favorable cardio-metabolic profile, as confirmed by a systematic review by Saunders et al. [45,46,47].

2.2. Sedentary Behavior and Physical Inactivity Disadvantages

PI in childhood and adolescence is related to unfavorable health adaptations that start from childhood and follow children and adolescents throughout adulthood, leading to higher composite risk factor scores for CVD and a potential decline in CV health [48,49]. PI in children and adolescents leads to increased morbidity since many of the chronic conditions of adults, including early atheromatosis, start in childhood [50].
According to several prospective studies, changes in body fatness are associated with PI; in particular, in children, an inverse relationship between the level of fatness and energy expenditure has been described, suggesting that the latter profoundly impacts the development of obesity [51]. Other adverse health habits have been correlated with PI, such as higher fat intake and cigarette smoking, according to data from the Cardiovascular Risk in Young Finns Study, suggesting that the covariance of PI with other negative health habits in youth affects the development of CVD later in life [52]. Exposure to CV risk factors early in life may influence vascular health, causing modifications to the development of structural and functional vascular changes, i.e., increased intima–media thickness and pulse wave velocity, which are related to early atherosclerosis [53,54]. PI seems to be associated with the accumulation of numerous harmful habits in adulthood, with the strongest association documented in females [52,55]. Consistent with the latest epidemiological data, most adolescents do not meet current PA guidelines, with a trend relatively stable over the past decade [56]. The latest WHO records reported that, in 2018, across 26 European Union Member States, only 17.6% of boys and 9.6% of girls met the recommendation regarding PA, with Portugal, France, and Italy reporting the lowest prevalence of PA among adolescents. An important consideration is that PA prevalence in pediatrics is inversely proportional to age, with the achievement of the recommended amount of daily PA ranging from 24% in children aged 11 to 19% at age 13 and 15% at age 15 [57].
Furthermore, in most countries, girls are less physically active than boys, with a prevalence of recommended levels of PA less than 20% in female adolescents and a subsequent further increase in PI into adulthood [58,59,60,61]. The causes for this gender disparity in PA involvement are still poorly understood [5]. Family support appears to be a consistent factor associated with the PA of both male and female adolescents; in contrast, low self-esteem, lack of interest and awareness about the role of PA, time limitations, scarcity of economic resources, and parental authority seem to influence girls’ participation in PA, especially in low-income countries [62,63]. Ricardo et al. have recently examined records from the Global School-Based Student Health Survey, collected among adolescents from 13 to 17 years old from 64 Global South countries between 2010 and 2020. The pooled ratio for all countries showed that boys presented a PA prevalence 1.58 times higher than that of girls on average, with the highest absolute and relative inequalities in high-income countries [64].

2.3. Proposal for Intervention

As stated in the 2020 WHO guidelines, school-age youth (5–17 years) should participate daily in 60 min or more of moderate-to-vigorous PA (MVPA), mostly aerobic; activities focused on musculoskeletal strength should be incorporated at least 3 days a week. Sedentary behavior (SB, defined as any waking behavior characterized by an energy expenditure of ≤1.5 metabolic equivalents while in a sitting, reclining, or lying posture) should be limited as much as possible, especially in terms of recreational screen time [65,66].
The “PI pandemic” should be prevented from early childhood, as there is no doubt that early lifestyle-related factors significantly influence individual’s biological risk factor profile, and childhood appears to be the most appropriate period for positive lifestyle adoption. Schools should offer children curriculums concentrated on the harmful effects of PI and on the positive effects of PA, and should strongly encourage physical practices to ensure that the recommendations for daily PA are embraced and met in student populations and to reduce SB [67]. Physical education teachers should be conscious of their central role in limiting gender inequality, endorsing activities potentially appealing for female students, and eliminating heterosexism and homophobia [68]. According to the latest evidence from systematic reviews, the most successful school-based interventions among adolescents to reduce PI used whole-of-school methodologies combining curricular activities with the broader school environment and the local community [69]. Moreover, playing on sports teams and participating in physical exercise classes may contribute more to global activity in girls [70]. However, these interventions demonstrated only minor results when PA was assessed quantitatively, i.e., using an accelerometer [71,72]. School-based interventions should promote PA programs that institutional teams will be determined to implement and that the involved adolescents are encouraged to support. PA initiatives should focus on the specific requests and necessities of adolescents. In this regard, a study by James et al. explored the recommendations made by a group of teenagers from secondary schools to improve PA engagement, highlighting a significant gap between the most proposed activities and the adolescents’ needs. According to adolescents’ suggestions, the activities should be cheaper, more locally accessible, and specific to teenagers, with a broader choice of proposed activities. Teenage girls stressed their need to engage in enjoyable activities that should not be competitive but friendly and entertaining. Moreover, both boys and girls strongly agree on the need for increased opportunities to participate in more unstructured activities [73]. Finally, it is crucial to offer sufficient education on gender equality for teachers and students, and future research is needed to further clarify the role of all the social and environmental factors potentially related to PI, to propose new approaches to overcome the inactivity phenomenon from the first decades of life.

3. Physical Activity and Inactivity in Pre-Pregnancy, Pregnancy, and Post-Pregnancy Period

3.1. Benefits of Physical Activity

The AHA statement on women’s CV health underlines the importance of lifestyle interventions in the “Life’s Simple 7”, a list of the 7 most important health factors (diet, PA, nonsmoking, body mass index, blood pressure, lipids, and glycemia), recently revised to “Life’s Essential 8”, incorporating sleep health as the 8th metric [74]. Among the abovementioned CV health metrics, PA can counteract CV risk factors before, during, and after pregnancy, and according to the latest evidence, the improvement in maternal cardio-metabolic health is reflected in the cardio-metabolic health of the fetus and future offspring [75,76]. The exposure of a fetus or neonate to specific risk factors, namely, developmental programming, can influence the development of CVD in later life. Much evidence has confirmed that maternal CV risk factors can influence both endothelial and glucose homeostasis in offspring, increasing the risk of developing early endothelial dysfunction and insulin resistance. In contrast, hypertensive disorders of pregnancy (HDP) can affect maternal health and fetal growth, which are, in turn, associated with increased CV risk later in life [77,78,79]. Moreover, it seems that CV risk factors, both micro- and macro-vascular, track from mother to child, regardless of environmental exposures and pregnancy complications, causing an adverse CV profile in the offspring at a 6-to-9 year follow-up [80].
There are several benefits of PA for maternal cardio-metabolic health including positive vascular remodeling and angiogenesis, improved endothelial function and arterial stiffness, reduced oxidative stress, and decreased levels of inflammatory cytokines and cortisol [81,82]. A greater amount of leisure-time PA in the first trimester of pregnancy leads to a lower risk of adverse pregnancy outcomes (APOs) [83]. Additionally, women who exercise as recommended have a 30% lower risk of developing HDP, including gestational hypertension and pre-eclampsia, and experience a reduced CV risk profile in perimenopause [81,84]. PA has also been associated with a meaningful reduction in gestational weight gain and post-gestational weight retention, both related to a higher risk of short- and long-term CV events, especially in women with a history of gestational diabetes and HDP [85,86,87]. Finally, PA causes a decline in the odds and severity of maternal mental issues, i.e., anxiety and prenatal depression, related to an increased risk of new CVD within 24 months postpartum. Moreover, PA significantly improves the maternal quality of life, along with reduced stress and cortisol levels, both associated with lower maternal oxidative stress and a better long-term metabolic environment of the offspring [82,88,89]. Furthermore, PA improves fertility and assisted reproductive therapy outcomes, as well as metabolic profile in polycystic ovary syndrome, which is recognized as the leading cause of anovulatory infertility [90,91].

3.2. Sedentary Behavior and Physical Inactivity Disadvantages

A statement from the American Heart Association (AHA) on women’s CV health and its influence on pregnancy complications has been recently published [92]. According to the latest statistics, less than 1% of young adults of reproductive age have optimal CV health, and almost 1 in 5 births experiences an APO, with a substantial increase in cases over the past decade, especially regarding HDP [93,94].
A recent study by Silva-Jose et al. showed that although in the last 15 years there has been a substantial intensification in physical practice in the pregnant population, the current levels are still very far from the international recommendations [95]. Even if more than two-thirds of pregnant women participate in some type of recreational PA, the percentage of pregnant women exercising at the recommended level is still low, ranging from 15 to 27.3% [96,97]. Recent data from a Swedish epidemiological study showed a correlation between longer sedentary time during pregnancy and the increase in blood loss during delivery/postpartum, as well as worse self-rated health during pregnancy [97]. Pregnancy determines several physiological, cardio-metabolic adaptations in the mother, essential to support fetal development. In women with pre-pregnancy elevated cardio-metabolic risk factors, mainly exacerbated by PI, these phenomena may indicate the occurrence of APOs [98,99]. APOs are strongly related to the risk of subsequent CVD and long-term kidney disease, and the pre-pregnancy period could be involved in the pathophysiology of APOs [98,100]. For example, women with obesity and abnormal pre-pregnancy blood pressure, as well as women with pre-pregnancy insulin resistance or a family history of diabetes, are more likely to develop pre-eclampsia or gestational hypertension or gestational diabetes, respectively, compared with women without these conditions [101,102]. Among APOs, HDP seems to be associated with an increased risk of atherosclerotic CVD, hemorrhagic stroke, and heart failure. In contrast, gestational diabetes, preterm delivery, placental abruption, miscarriages or stillbirths, and the presence of anomalies in the weight of the newborn seem to be associated with an increased risk of atherosclerotic CVD [98]. The association between APOs and the risk of subsequent CVD is so important that the 2011 AHA guidelines for the prevention of CVD in women recommends including a history of APOs in the CVD risk evaluation in women. Moreover, APOs should be considered CV risk enhancers in evaluating statin prescriptions for CVD prevention [103,104]. Additional studies are needed to assess the impact of different levels of sedentary time on pregnancy outcomes [97].

3.3. Proposal for Intervention

The 2020 WHO guidelines on PA and SB recommend that all pregnant women, without contraindication, should do at least 150 min of moderate-intensity aerobic PA throughout the week, with a variety of aerobic and muscle-strengthening activities, replacing sedentary time with PA of any intensity, including light intensity [105,106].
Similarly, many governments have developed guidelines for PA during pregnancy, recently summarized in a review by Hayman et al., highlighting the remarkable concordance in the recommendations offered worldwide [107].
All women’s healthcare providers should absorb and adopt the guidelines and efficiently support safe involvement in PA before, during, and after pregnancy, with effective lifestyle counseling that should start in the pre-conceptional period and continue during the postpartum months and beyond, as PA represents an investment in future CV health, especially during the menopausal transition [98,108].

4. Physical Activity and Inactivity in Perimenopause and Beyond

4.1. Benefits of Physical Activity

Menopause is considered one of the emergent non-modifiable CV risk factors in the female population, being associated with a decline in ovarian hormone concentrations that leads to cardio-metabolic negative adaptations and increased inflammatory status [2,109]. The noticeable changes in cardio-metabolic health observed in this scenario may be partially explained by modifiable lifestyle factors such as PI [110]. In this regard, PA represents a valuable tool to counteract these undesirable adaptations, especially if women exercise with a high level of adherence to a fitness program. Moreover, PA can improve the immune-neuroendocrine profile and serum angiogenic properties during the menopausal transition [111,112,113,114,115]. Regarding aerobic exercise, continuous aerobic training and high-intensity aerobic interval training can elicit the same physiological benefits in terms of a reduction in plasma glucose, insulin, homeostasis model assessment-adiponectin, and insulin resistance and an increase in plasma high-density lipoprotein-cholesterol, adiponectin, and aerobic fitness [116]. Perimenopausal women can also benefit from regular strength training, which can help to improve bone density, reduce body fat, and build skeletal muscle mass, maintaining adequate physical performance [117,118,119]. Both aerobic and resistance training, alone or in combination, can improve CRF and muscular strength in this population [120]. Moreover, a moderate-to-intense PA is crucial to protect or ameliorate cognitive health through body movement [121]. Finally, a recent study by Wu et al. suggests a strong negative correlation between PA and the severity of menopausal symptoms, with higher PA levels correlated with a better perceived health status [122].

4.2. Sedentary Behavior and Physical Inactivity Disadvantages

Despite the abovementioned and well-known health benefits, few adults, and fewer older adults, especially in the postmenopausal female population, meet recommended guidelines [123]. Furthermore, older women seem generally more sedentary and less active than older men [124].
In this population, SB has been associated with metabolic disorders, obesity, CVD, cancer, mortality, and psychological distress, as well as with adverse changes in coagulation homeostasis and severe menopausal symptoms [125,126]. Therefore, reducing sedentary activity provides an alternative strategy to reduce the risk of CVD and CVD-related mortality [108,127,128]. Further attention should be paid to supporting menopausal women in maintaining an adequate level of spontaneous PA when they regularly exercise, as it seems that the involvement in a planned program of physical exercise may result in a decline in spontaneous PA, which in turn reduces the positive effects of exercise on lipid profile [129,130]. The baseline spontaneous PA and leptin-to-fat-mass ratio of postmenopausal women involved in exercise training seem to be negative and independently correlated with a subsequent reduction in spontaneous PA [131].

4.3. Proposal for Intervention

The 2020 WHO guidelines on PA and SB recommend that adults and older adults with chronic conditions should perform at least 150–300 min of moderate-intensity aerobic PA, or at least 75–150 min of vigorous-intensity aerobic PA, or an equivalent combination of moderate- and vigorous-intensity activity throughout the week for substantial health benefits [105].
Every woman needs to find an enjoyable activity that fits into her daily lifestyle [132,133]. Menopausal women should aim for 30 min of moderate-intensity PA every day, i.e., walking, jogging, swimming, cycling, dancing, and gardening. Other beneficial activities include strength training and balance exercises, which are especially important as women age which can increase the risk of falls. Healthcare professionals should actively promote PA as a cheap and effective therapy free of side effects in menopausal women, taking into account both known facilitators (i.e., program adaption, gratification, and setting) and strategies to overcome barriers to PA participation (i.e., lack of social and economic support and exercise experience) in order to improve women’s adherence to fitness programs [134,135]. In this sense, the positive effects of PA should be optimized according to women’s life habits. For instance, the evening execution of a walking program may lead to better positive effects in terms of body composition improvement, potentially linked to spontaneous dietary habit modification [136]. Increased sedentary time should also be strongly discouraged as a negative compensatory adaptive response to exercise training [131].

5. Physical Activity and Inactivity in CVD

5.1. Benefits of Physical Activity

The inverse association between PA and CVD has been extensively validated, especially in high-risk subgroups, including patients with metabolic syndrome, current smokers, and older adults.
This positive relationship has also been confirmed in the female population, as shown by Paynter et al. in the WHI-OS (Women’s Health Initiative Observational Study), demonstrating that recreational PA was the only lifestyle factor independently associated with incident CVD when added to traditional risk factor models [137]. PA seems to be similarly effective in preventing CVD among women with varying levels of global CV risk [24]. Even light-to-moderate PA is associated with lower coronary heart disease rates in women, and higher daily life movement has been independently associated with a lower CV risk in older women [138]. Combining different PA interventions is the most effective way to reduce CV risk factors in women [139].

5.2. Sedentary Behavior and Physical Inactivity Disadvantages

Current records from clinical trials suggest that PA alone is not enough to reduce the risk of CVD, especially in older adults, as both PI and SB negatively influence CV health status, especially in older women, regardless of the level and intensity of PA [127]. Data from the Women’s Health Initiative confirmed the presence of a linear connection between more significant amounts of sedentary time and mortality risk after controlling for multiple potential confounders [140]. In the same population, prolonged sitting time was associated with increased CVD risk in postmenopausal women without a history of CVD, independent of leisure-time PA [141].
Moreover, Ekelund et al. described a statistically significant higher risk of death for sedentary times of 9.5 or more hours daily [127,142,143]. On the other hand, lower sedentary time is associated with lower all-cause mortality [144]. High sedentary time and long mean bout duration have been associated in a dose–response manner with increased CV risk in a subcohort from Women’s Health Initiative [126]. Moreover, a positive correlation between prolonged SB periods and worsening arterial stiffness, a well-known prognostic marker for CVD, has been recently highlighted in a population of 1125 women from the Physical Activity and Health in Older Women Study, with more prolonged bouts of SB being associated with higher levels of arterial stiffness [145]. Patients with CVD exhibit considerably higher amounts of SB than healthy controls and show low engagement in moderate-to-vigorous PA even following specific cardiac rehabilitation programs [146].
Duran et al. demonstrated, in a population of 149 patients with acute coronary syndrome (30.2% women), that during the first month post-discharge there is a significant tendency to accumulate high volumes of sedentary time, with most patients showing slight improvement over time [147]. This negative lifestyle adaptation is associated with a worse long-term prognosis among patients with acute coronary syndrome as high SB, mainly when associated with low PA, strongly correlates with poor cardiorespiratory fitness [148]. Incremental tertiles of time-varying SB also correlate with an increased risk of incident HF in postmenopausal women, according to the data from the Women’s Health Initiative Observational Study by LaMonte et al. [149].

5.3. Proposal for Intervention

The latest guidelines on CVD prevention in clinical practice, endorsed by the European Society of Cardiology, suggest that every patient with atherosclerotic CVD events or with a history of heart failure should participate in a medically supervised, structured, and exercise-based cardiac rehabilitation program that should start as soon as possible after the initial CV event. The program should be tailored to each patient and include both aerobic and resistance exercises [150,151,152]. A specific tool, namely, the EXPERT tool (Exercise Prescription in Everyday Practice and Rehabilitation Training), has been proposed to optimize exercise training. Home-based telemonitoring and telehealth interventions have been suggested to increase rates of participation. The efforts of every clinician should be focused on the improvement of adherence to a rehabilitation program and on specific interventions aimed at reducing SB, i.e., the use of an interactive accelerometer equipped with cloud-based services to store and monitor patient’s habitual activity online in order to create a patient’s habitual activity and SB profile, which can be supervised over long periods of time [152,153,154,155].

6. Current Evidence on Physical Activity and Inactivity in the COVID-19 Pandemic

It has been widely demonstrated that the health policy reactions to the COVID-19 pandemic, with lockdown and significant movement restrictions, caused widespread effects on CV risk. The significant limitation of economic and social activities has led to unemployment, increased sedentary time, social isolation, and increased incidence of mental health issues, all of which are well-recognized risk factors for CVD and associated with worsening CV outcomes [156]. The pandemic has been a stressful time for everyone, especially for women when juggling work and home life. Women are often expected to be the primary caretakers for their families, and with the extra stress of the pandemic, it has been even more difficult for them to manage.
Many studies demonstrated that women of all ages were significantly less physically active than men during COVID-19 and reported more barriers and fewer facilitators to PA than men, with a significant worsening in psychological health. On the other hand, women who engaged in more PA had improved mental health scores [157,158,159,160].
Given these premises, home-based PA programs for the prevention of PI and SB during the COVID-19 era have been strongly suggested as powerful tools to preserve both general and CV well-being and mental health, especially in women who were severely affected by emotional stress and anxiety, with a potentially devastating impact on CV risk burden [161,162,163,164,165,166,167].
Recently, the “Long COVID syndrome” or “post-acute sequelae of COVID-19” (PASC) is emerging in clinical practice. This condition occurs 3 or more weeks after the original infection and is characterized by symptoms lasting for at least 2 months, with no other explanation, in subjects who have had a severe, moderate, or mild form of COVID-19, mainly females [168,169,170,171,172]. The persistence of SARS-CoV-2 symptoms severely affects functional and emotional status, as well as leisure-time PA, especially in the female population, limiting PA participation and decreasing both CV health and quality of life [173,174,175].
PASC has been associated with more than 100 symptoms, including fatigue, anxiety, depression, sleep disorders, and CV symptoms and complications, including palpitations, chest pain, and dyspnea, the latter being reported in 5–29% of COVID-19 survivors [176]. Furthermore, independent of symptom burden, women with PASC seem to experience a worsening in vascular health, with higher levels of blood pressure and central arterial stiffness [177]. The latest consensus statement by the American Academy of Physical Medicine and Rehabilitation highlighted that PI is strongly correlated with CV morbidity and mortality, more severe COVID-19, and risk of PASC [178]. The authors recommend exercise training as an effective intervention to improve both mental health issues and CV complications, paying attention to minimizing or avoiding post-exertional symptom exacerbation (PESE), which has been extensively described in this population [179,180,181,182,183].

7. Conclusions and Future Directions

PI represents a real global emergency as it significantly affects general and CV well-being, especially in women that are globally more inactive compared with men. Gender differences in terms of PA are tangible and exist across all age groups and clinical scenarios. The equal opportunity for everyone to be active from a young age and maintain activity should be provided worldwide and would represent an actual investment in short- and long-term global health.
Many studies confirmed that increasing PA in the population would reduce working-age mortality and morbidity and increase productivity, with significant economic gains for the economy worldwide, especially in high-income countries [184]. Moreover, pre-pregnancy and pregnancy CV health should be considered a central target to improve women’s lifelong health but also the health of the birthing individuals over their life course [92]. Recently, the latest global status report on PA by the WHO highlighted that, although national guidelines to fight NCDs and PI have increased in recent years, currently only 72% of policies are reported to be supported or applied. Moreover, it seems that only just over 50% of countries have planned a mass participation PA event or a national communications campaign about PA in the last 2 years. Governments should help break down barriers to women’s participation in sport, promoting different regulations to provide everyone with access to PA and suitable infrastructures to ease protected access and privacy in facilities. Schools and universities, sports societies, non-governmental associations, and local initiatives can also play an essential role in accelerating this revolution, spreading the need for gender equality in PA and promoting projects focused on the existing barriers to women’s awareness of and access to PA, and claiming more space and involvement for women in sport. Proposed activities should be tailored to the specific requests and necessities of the female population of every age.
Health education messages supplied to mobile devices, focused on the role of an active lifestyle on CV fitness, promoting the WHO’s guidelines on PA levels, and explaining the adverse effects of PI and SB by captivating visual content may constitute an effective tool to improve health literacy, especially in the youngest population [185].
Strategies to reduce the gender gap should be highlighted in efforts to increase PA levels in all age groups and in all countries, from childhood to old age, to achieve radical changes at every level through multidisciplinary and cross-sectoral collaboration to increase levels of PA in current and future generations, as stated in the WHO Global Action Plan on PA 2018–2030 [64,186].

Author Contributions

Conceptualization, V.B., A.V.M., S.S., F.M., G.R. and S.G.; writing—original draft preparation, V.B. and A.V.M.; writing—review and editing, V.B., A.V.M. and S.G.; supervision, S.G.; project administration, V.B., A.V.M. and S.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Tsao, C.W.; Aday, A.W.; Almarzooq, Z.I.; Anderson, C.A.; Arora, P.; Avery, C.L.; Baker-Smith, C.M.; Beaton, A.Z.; Boehme, A.K.; Buxton, A.E.; et al. Heart Disease and Stroke Statistics—2023 Update: A Report From the American Heart Association. Circulation 2023, 147, e93–e621. [Google Scholar] [CrossRef] [PubMed]
  2. Salerni, S.; Di Francescomarino, S.; Cadeddu, C.; Acquistapace, F.; Maffei, S.; Gallina, S. The different role of sex hormones on female cardiovascular physiology and function: Not only oestrogens. Eur. J. Clin. Investig. 2015, 45, 634–645. [Google Scholar] [CrossRef]
  3. Garcia, M.; Mulvagh, S.L.; Bairey Merz, C.N.; Buring, J.E.; Manson, J.E. Cardiovascular Disease in Women: Clinical Perspectives. Circ. Res. 2016, 118, 1273–1293. [Google Scholar] [CrossRef] [Green Version]
  4. Cho, L.; Davis, M.; Elgendy, I.; Epps, K.; Lindley, K.J.; Mehta, P.K.; Michos, E.D.; Minissian, M.; Pepine, C.; Vaccarino, V.; et al. Summary of Updated Recommendations for Primary Prevention of Cardiovascular Disease in Women: JACC State-of-the-Art Review. J. Am. Coll. Cardiol. 2020, 75, 2602–2618. [Google Scholar] [CrossRef]
  5. Soto-Lagos, R.; Cortes-Varas, C.; Freire-Arancibia, S.; Energici, M.-A.; McDonald, B. How Can Physical Inactivity in Girls Be Explained? A Socioecological Study in Public, Subsidized, and Private Schools. Int. J. Environ. Res. Public Health 2022, 19, 9304. [Google Scholar] [CrossRef]
  6. Kohl, H.W., 3rd; Craig, C.L.; Lambert, E.V.; Inoue, S.; Alkandari, J.R.; Leetongin, G.; Kahlmeier, S. The pandemic of physical inactivity: Global action for public health. Lancet 2012, 380, 294–305. [Google Scholar] [CrossRef] [Green Version]
  7. Tremblay, M.S.; Aubert, S.; Barnes, J.D.; Saunders, T.J.; Carson, V.; Latimer-Cheung, A.E.; Chastin, S.F.; Altenburg, T.M.; Chinapaw, M.J. Sedentary Behavior Research Network (SBRN)—Terminology Consensus Project process and outcome. Int. J. Behav. Nutr. Phys. Act. 2017, 14, 75. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Riccioni, G.; Scotti, L.; Guagnano, M.T.; Bosco, G.; Bucciarelli, V.; Di Ilio, E.; Speranza, L.; Martini, F.; Bucciarelli, T. Physical exercise reduces synthesis of ADMA, SDMA, and L-Arg. Front. Biosci. (Elite Ed.) 2015, 7, 417–422. [Google Scholar] [CrossRef] [PubMed]
  9. Gao, J.; Pan, X.; Li, G.; Chatterjee, E.; Xiao, J. Physical Exercise Protects Against Endothelial Dysfunction in Cardiovascular and Metabolic Diseases. J. Cardiovasc. Transl. Res. 2022, 15, 604–620. [Google Scholar] [CrossRef]
  10. Falone, S.; Mirabilio, A.; Passerini, A.; Izzicupo, P.; Cacchio, M.; Gallina, S.; Baldassarre, A.D.; Amicarelli, F. Aerobic Performance and Antioxidant Protection in Runners. Int. J. Sports Med. 2009, 30, 782–788. [Google Scholar] [CrossRef] [PubMed]
  11. Reiner, M.; Niermann, C.; Jekauc, D.; Woll, A. Long-term health benefits of physical activity—A systematic review of longitudinal studies. BMC Public Health 2013, 13, 813. [Google Scholar] [CrossRef] [Green Version]
  12. Lee, D.H.; Rezende, L.F.; Joh, H.-K.; Keum, N.; Ferrari, G.; Rey-Lopez, J.P.; Rimm, E.B.; Tabung, F.K.; Giovannucci, E.L. Long-Term Leisure-Time Physical Activity Intensity and All-Cause and Cause-Specific Mortality: A Prospective Cohort of US Adults. Circulation 2022, 146, 523–534. [Google Scholar] [CrossRef]
  13. Singh, B.; Olds, T.; Curtis, R.; Dumuid, D.; Virgara, R.; Watson, A.; Szeto, K.; O’Connor, E.; Ferguson, T.; Eglitis, E.; et al. Effectiveness of physical activity interventions for improving depression, anxiety and distress: An overview of systematic reviews. Br. J. Sports Med. 2023; Online ahead of print. [Google Scholar] [CrossRef]
  14. De Cocker, K.; Biddle, S.J.H.; Teychenne, M.J.; Bennie, J.A. Is all activity equal? Associations between different domains of physical activity and depressive symptom severity among 261,121 European adults. Depress. Anxiety 2021, 38, 950–960. [Google Scholar] [CrossRef]
  15. Dugan, S.A.; Bromberger, J.; Segawa, E.; Avery, E.; Sternfeld, B. Association between Physical Activity and Depressive Symptoms: Midlife Women in SWAN. Med. Sci. Sports Exerc. 2015, 47, 335–342. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Azar, D.; Ball, K.; Salmon, J.; Cleland, V.J. Physical activity correlates in young women with depressive symptoms: A qualitative study. Int. J. Behav. Nutr. Phys. Act. 2010, 7, 3. [Google Scholar] [CrossRef] [Green Version]
  17. Meng, Y.; Luo, Y.; Qin, S.; Xu, C.; Yue, J.; Nie, M.; Fan, L. The effects of leisure time physical activity on depression among older women depend on intensity and frequency. J. Affect. Disord. 2021, 295, 822–830. [Google Scholar] [CrossRef]
  18. World Health Organization. World Health Organization Global Action Plan on Physical Activity 2018–2030: More Active People for a Healthier World; World Health Organization: Geneva, Switzerland, 2018. [Google Scholar]
  19. Santos, A.C.; Willumsen, J.; Meheus, F.; Ilbawi, A.; Bull, F.C. The cost of inaction on physical inactivity to public health-care systems: A population-attributable fraction analysis. Lancet Glob. Health 2023, 11, e32–e39. [Google Scholar] [CrossRef] [PubMed]
  20. Katzmarzyk, P.T.; Friedenreich, C.; Shiroma, E.J.; Lee, I.-M. Physical inactivity and non-communicable disease burden in low-income, middle-income and high-income countries. Br. J. Sports Med. 2022, 56, 101–106. [Google Scholar] [CrossRef] [PubMed]
  21. Brown, W.J.; Pavey, T.; Bauman, A.E. Comparing population attributable risks for heart disease across the adult lifespan in women. Br. J. Sports Med. 2015, 49, 1069–1076. [Google Scholar] [CrossRef] [Green Version]
  22. Milton, K.; Gomersall, S.R.; Schipperijn, J. Let’s get moving: The Global Status Report on Physical Activity 2022 calls for urgent action. J. Sport Health Sci. 2023, 12, 5–6. [Google Scholar] [CrossRef]
  23. Shiroma, E.J.; Lee, I.M. Physical activity and cardiovascular health: Lessons learned from epidemiological studies across age, gender, and race/ethnicity. Circulation 2010, 122, 743–752. [Google Scholar] [CrossRef] [Green Version]
  24. Chomistek, A.K.; Cook, N.R.; Rimm, E.B.; Ridker, P.M.; Buring, J.E.; Lee, I.M. Physical Activity and Incident Cardiovascular Disease in Women: Is the Relation Modified by Level of Global Cardiovascular Risk? J. Am. Heart Assoc. 2018, 7, 12. [Google Scholar] [CrossRef] [Green Version]
  25. Sandborg, J.; Migueles, J.H.; Söderström, E.; Blomberg, M.; Henriksson, P.; Löf, M. Physical Activity, Body Composition, and Cardiometabolic Health during Pregnancy: A Compositional Data Approach. Med. Sci. Sports Exerc. 2022, 54, 2054–2063. [Google Scholar] [CrossRef]
  26. Di Giuseppe, D.; Bottai, M.; Askling, J.; Wolk, A. Physical activity and risk of rheumatoid arthritis in women: A population-based prospective study. Thromb. Haemost. 2015, 17, 40. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Xu, Y.; Rogers, C.J. Physical Activity and Breast Cancer Prevention: Possible Role of Immune Mediators. Front. Nutr. 2020, 7, 557997. [Google Scholar] [CrossRef] [PubMed]
  28. Guthold, R.; Stevens, G.A.; Riley, L.M.; Bull, F.C. Worldwide trends in insufficient physical activity from 2001 to 2016: A pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet Glob. Health 2018, 6, e1077–e1086. [Google Scholar] [CrossRef] [Green Version]
  29. Whitfield, G.P.; Hyde, E.T.; Carlson, S.A. Participation in Leisure-Time Aerobic Physical Activity Among Adults, National Health Interview Survey, 1998–2018. J. Phys. Act. Health 2021, 18, S25–S36. [Google Scholar] [CrossRef] [PubMed]
  30. European Commission. Special Eurobarometer SP525: Sport and Physical Activity. 2022. Available online: https://europa.eu/eurobarometer/surveys/detail/2668 (accessed on 21 September 2022).
  31. Donoso, B.; Reina, A.; Alvarez-Sotomayor, A. Women and competitive sport: Perceived barriers to equality. Cult. Cienc. Deporte 2022, 17, 54. [Google Scholar]
  32. Moreno-Llamas, A.; García-Mayor, J.; De la Cruz-Sánchez, E. Gender inequality is associated with gender differences and women participation in physical activity. J. Public Health 2022, 44, e519–e526. [Google Scholar] [CrossRef]
  33. Cla, T. Time to tackle the physical activity gender gap. Lancet Public Health 2019, 4, e360. [Google Scholar]
  34. Boreham, C.; Riddoch, C. The physical activity, fitness and health of children. J. Sports Sci. 2001, 19, 915–929. [Google Scholar] [CrossRef]
  35. Loprinzi, P.D.; Cardinal, B.J.; Loprinzi, K.L.; Lee, H. Benefits and Environmental Determinants of Physical Activity in Children and Adolescents. Obes. Facts 2012, 5, 597–610. [Google Scholar] [CrossRef]
  36. van Sluijs, E.M.; Ekelund, U.; Crochemore-Silva, I.; Guthold, R.; Ha, A.; Lubans, D.; Oyeyemi, A.L.; Ding, D.; Katzmarzyk, P.T. Physical activity behaviours in adolescence: Current evidence and opportunities for intervention. Lancet 2021, 398, 429–442. [Google Scholar] [CrossRef]
  37. Blair, S.N. Exercise and Fitness in Childhood: Implications for a Lifetime of Health. In Perspectives in Exercise Science and Sports Medicine, vol.2: Youth, Exercise and Sport; Gisolfi, C.V., Lamb, D.R., Eds.; Benchmark Press: Indianapolis, IN, USA, 1989; pp. 401–430. [Google Scholar]
  38. Janssen, I.; LeBlanc, A.G. Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. Int. J. Behav. Nutr. Phys. Act. 2010, 7, 40. [Google Scholar] [CrossRef] [Green Version]
  39. Ruiz, J.R.; Huybrechts, I.; Cuenca-García, M.; Artero, E.G.; Labayen, I.; Meirhaeghe, A.; Vicente-Rodriguez, G.; Polito, A.; Manios, Y.; González-Gross, M.; et al. Cardiorespiratory fitness and ideal cardiovascular health in European adolescents. Heart 2015, 101, 766–773. [Google Scholar] [CrossRef] [Green Version]
  40. Moliner-Urdiales, D.; on behalf of the HELENA Study Group; Ruiz, J.R.; Ortega, F.B.; Rey-Lopez, J.P.; Vicente-Rodriguez, G.; España-Romero, V.; Munguía-Izquierdo, D.; Castillo, M.J.; Sjöström, M.; et al. Association of objectively assessed physical activity with total and central body fat in Spanish adolescents; The HELENA Study. Int. J. Obes. 2009, 33, 1126–1135. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  41. Jiménez-Pavón, D.; Fernández-Vázquez, A.; Alexy, U.; Pedrero, R.; Cuenca-García, M.; Polito, A.; Vanhelst, J.; Manios, Y.; Kafatos, A.; Molnar, D.; et al. Association of objectively measured physical activity with body components in European adolescents. BMC Public Health 2013, 13, 667. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Rendo-Urteaga, T.; de Moraes, A.C.F.; Collese, T.S.; Manios, Y.; Hagströmer, M.; Sjöström, M.; Kafatos, A.; Widhalm, K.; Vanhelst, J.; Marcos, A.; et al. The combined effect of physical activity and sedentary behaviors on a clustered cardio-metabolic risk score: The Helena study. Int. J. Cardiol. 2015, 186, 186–195. [Google Scholar] [CrossRef]
  43. Jiménez-Pavón, D.; Ruiz, J.R.; Ortega, F.B.; Martínez-Gómez, D.; Moreno, S.; Urzanqui, A.; Gottrand, F.; Molnár, D.; Castillo, M.J.; Sjöström, M.; et al. Physical activity and markers of insulin resistance in adolescents: Role of cardiorespiratory fitness levels—The HELENA study. Pediatr. Diabetes 2013, 14, 249–258. [Google Scholar] [CrossRef]
  44. Absil, H.; Baudet, L.; Robert, A.; Lysy, P.A. Benefits of physical activity in children and adolescents with type 1 diabetes: A systematic review. Diabetes Res. Clin. Pract. 2019, 156, 107810. [Google Scholar] [CrossRef]
  45. Saunders, T.J.; Gray, C.E.; Poitras, V.J.; Chaput, J.-P.; Janssen, I.; Katzmarzyk, P.T.; Olds, T.; Gorber, S.C.; Kho, M.E.; Sampson, M.; et al. Combinations of physical activity, sedentary behaviour and sleep: Relationships with health indicators in school-aged children and youth. Appl. Physiol. Nutr. Metab. 2016, 41, S283–S293. [Google Scholar] [CrossRef] [Green Version]
  46. Fonseca, A.P.L.M.; de Azevedo, C.V.M.; Santos, R.M.R. Sleep and health-related physical fitness in children and adolescents: A systematic review. Sleep Sci. 2021, 14, 357–365. [Google Scholar] [CrossRef] [PubMed]
  47. Ekstedt, M.; Nyberg, G.; Ingre, M.; Marcus, C. Sleep, physical activity and BMI in six to ten-year-old children measured by accelerometry: A cross-sectional study. Int. J. Behav. Nutr. Phys. Act. 2013, 10, 1–10. [Google Scholar] [CrossRef] [Green Version]
  48. Tanha, T.; Wollmer, P.; Thorsson, O.; Karlsson, M.K.; Lindén, C.; Andersen, L.B.; Dencker, M. Lack of physical activity in young children is related to higher composite risk factor score for cardiovascular disease. Acta Paediatr. 2011, 100, 717–721. [Google Scholar] [CrossRef]
  49. Gooding, H.C.; Ning, H.; Perak, A.M.; Allen, N.; Lloyd-Jones, D.; Moore, L.L.; Singer, M.R.; de Ferranti, S.D. Cardiovascular health decline in adolescent girls in the NGHS cohort, 1987–1997. Prev. Med. Rep. 2020, 20, 101276. [Google Scholar] [CrossRef]
  50. Wilson, D. Is Atherosclerosis a Pediatric Disease? Feingold, K.R., Anawalt, B., Blackman, M.R., Boyce, A., Chrousos, G., Corpas, E., de Herder, W.W., Dhatariya, K., Dungan, K., Hofland, J., et al., Eds.; MDText.com Inc.: South Dartmouth, MA, USA, 2020. [Google Scholar]
  51. Ortega, F.B.; Ruiz, J.R.; Castillo, M.J. Physical activity, physical fitness, and overweight in children and adolescents: Evidence from epidemiologic studies. Endocrinol. Nutr. (Engl. Ed.) 2013, 60, 458–469. [Google Scholar] [CrossRef] [PubMed]
  52. Raitakari, O.T.; Porkka, K.V.; Taimela, S.; Telama, R.; Räsänen, L.; Viikari, J.S. Effects of persistent physical activity and inactivity on coronary risk factors in children and young adults. The Cardiovascular Risk in Young Finns Study. Am. J. Epidemiol. 1994, 140, 195–205. [Google Scholar] [CrossRef]
  53. Aatola, H.; Hutri-Kähönen, N.; Juonala, M.; Viikari, J.S.; Hulkkonen, J.; Laitinen, T.; Taittonen, L.; Lehtimäki, T.; Raitakari, O.T.; Kahonen, M. Lifetime risk factors and arterial pulse wave velocity in adulthood: The cardiovascular risk in young Finns study. Hypertension 2010, 55, 806–811. [Google Scholar] [CrossRef] [Green Version]
  54. Raitakari, O.T.; Juonala, M.; Kähönen, M.; Taittonen, L.; Laitinen, T.; Mäki-Torkko, N.; Järvisalo, M.J.; Uhari, M.; Jokinen, E.; Rönnemaa, T.; et al. Cardiovascular risk factors in childhood and carotid artery intima-media thickness in adulthood: The Cardiovascular Risk in Young Finns Study. JAMA 2003, 290, 2277–2283. [Google Scholar] [CrossRef]
  55. Lounassalo, I.; Hirvensalo, M.; Palomäki, S.; Salin, K.; Tolvanen, A.; Pahkala, K.; Rovio, S.; Fogelholm, M.; Yang, X.; Hutri-Kähönen, N.; et al. Life-course leisure-time physical activity trajectories in relation to health-related behaviors in adulthood: The Cardiovascular Risk in Young Finns study. BMC Public Health 2021, 21, 533. [Google Scholar] [CrossRef]
  56. Reilly, J.J.; Barnes, J.; Gonzalez, S.; Huang, W.Y.; Manyanga, T.; Tanaka, C.; Tremblay, M.S. Recent Secular Trends in Child and Adolescent Physical Activity and Sedentary Behavior Internationally: Analyses of Active Healthy Kids Global Alliance Global Matrices 1.0 to 4.0. J. Phys. Act. Health 2022, 19, 729–736. [Google Scholar] [CrossRef]
  57. Inchley, J.; Currie, D.; Budisavljevic, S.; Torsheim, T.; Jastad, A.; Cosma, A. Spotlight on Adolescent Health and Well-Being. Findings from the 2017/2018 Health Behaviour in School-Aged Children (HBSC) Survey in Europe and Canada; International Report. Key findings; WHO Regional Office for Europe: Copenhagen, Danmark, 2020; Volume 1. [Google Scholar]
  58. Guthold, R.; Stevens, G.A.; Riley, L.M.; Bull, F.C. Global trends in insufficient physical activity among adolescents: A pooled analysis of 298 population-based surveys with 1.6 million participants. Lancet Child. Adolesc. Health 2020, 4, 23–35. [Google Scholar] [CrossRef] [PubMed]
  59. Sallis, J.F.; Bull, F.; Guthold, R.; Heath, G.W.; Inoue, S.; Kelly, P.; Oyeyemi, A.L.; Perez, L.G.; Richards, J.; Hallal, P.C. Progress in physical activity over the Olympic quadrennium. Lancet 2016, 388, 1325–1336. [Google Scholar] [CrossRef]
  60. Dumith, S.C.; Gigante, D.P.; Domingues, M.R.; Kohl, H.W., III. Physical activity change during adolescence: A systematic review and a pooled analysis. Int. J. Epidemiol. 2011, 40, 685–698. [Google Scholar] [CrossRef] [Green Version]
  61. Kwan, M.Y.; Cairney, J.; Faulkner, G.; Pullenayegum, E. Physical Activity and Other Health-Risk Behaviors During the Transition Into Early Adulthood: A Longitudinal Cohort Study. Am. J. Prev. Med. 2012, 42, 14–20. [Google Scholar] [CrossRef]
  62. Wenthe, P.J.; Janz, K.F.; Levy, S.M. Gender similarities and differences in factors associated with adolescent moderate-vigorous physical activity. Pediatr. Exerc. Sci. 2009, 21, 291–304. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Onagbiye, S.O.; Tshwaro, R.M.T.; Barry, A.; Marie, Y. Physical Activity and Non-communicable Disease Risk Factors: Knowledge and Perceptions of Youth in a Low Resourced Community in the Western Cape. Open Public Health J. 2019, 12, 558–566. [Google Scholar] [CrossRef] [Green Version]
  64. Ricardo, L.I.C.; Wendt, A.; Costa, C.D.S.; Mielke, G.I.; Brazo-Sayavera, J.; Khan, A.; Kolbe-Alexander, T.L.; Crochemore-Silva, I. Gender inequalities in physical activity among adolescents from 64 Global South countries. J. Sport Health Sci. 2022, 11, 509–520. [Google Scholar] [CrossRef] [PubMed]
  65. Chaput, J.-P.; Willumsen, J.; Bull, F.; Chou, R.; Ekelund, U.; Firth, J.; Jago, R.; Ortega, F.B.; Katzmarzyk, P.T. 2020 WHO guidelines on physical activity and sedentary behaviour for children and adolescents aged 5–17 years: Summary of the evidence. Int. J. Behav. Nutr. Phys. Act. 2020, 17, 141. [Google Scholar] [CrossRef]
  66. Andriyani, F.D.; Biddle, S.J.; Priambadha, A.A.; Thomas, G.; De Cocker, K. Physical activity and sedentary behaviour of female adolescents in Indonesia: A multi-method study on duration, pattern and context. J. Exerc. Sci. Fit. 2022, 20, 128–139. [Google Scholar] [CrossRef]
  67. Mavrovouniotis, F. Inactivity in Childhood and Adolescence: A Modern Lifestyle Associated with Adverse Health Consequences. Sport Sci. Rev. 2012, 21, 75–99. [Google Scholar] [CrossRef]
  68. Guerrero, M.A.; Puerta, L.G. Advancing Gender Equality in Schools through Inclusive Physical Education and Teaching Training: A Systematic Review. Societies 2023, 13, 64. [Google Scholar] [CrossRef]
  69. Shackleton, N.; Jamal, F.; Viner, R.M.; Dickson, K.; Patton, G.; Bonell, C. School-Based Interventions Going Beyond Health Education to Promote Adolescent Health: Systematic Review of Reviews. J. Adolesc. Health 2016, 58, 382–396. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  70. Lenhart, C.M.; Hanlon, A.; Kang, Y.; Daly, B.P.; Brown, M.D.; Patterson, F. Gender Disparity in Structured Physical Activity and Overall Activity Level in Adolescence: Evaluation of Youth Risk Behavior Surveillance Data. ISRN Public Health 2012, 2012, 674936. [Google Scholar] [CrossRef] [Green Version]
  71. van Sluijs, E.M.F.; McMinn, A.M.; Griffin, S.J. Effectiveness of interventions to promote physical activity in children and adolescents: Systematic review of controlled trials. BMJ 2007, 335, 703. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  72. Okely, A.D.; Lubans, D.R.; Morgan, P.J.; Cotton, W.; Peralta, L.; Miller, J.; Batterham, M.; Janssen, X. Promoting physical activity among adolescent girls: The Girls in Sport group randomized trial. Int. J. Behav. Nutr. Phys. Act. 2017, 14, 81. [Google Scholar] [CrossRef] [Green Version]
  73. James, M.; Todd, C.; Scott, S.; Stratton, G.; McCoubrey, S.; Christian, D.; Halcox, J.; Audrey, S.; Ellins, E.; Anderson, S.; et al. Teenage recommendations to improve physical activity for their age group: A qualitative study. BMC Public Health 2018, 18, 372. [Google Scholar] [CrossRef]
  74. Lloyd-Jones, D.M.; Allen, N.B.; Anderson, C.A.; Black, T.; Brewer, L.C.; Foraker, R.E.; Grandner, M.A.; Lavretsky, H.; Perak, A.M.; Sharma, G.; et al. Life’s Essential 8: Updating and Enhancing the American Heart Association’s Construct of Cardiovascular Health: A Presidential Advisory From the American Heart Association. Circulation 2022, 146, e18–e43. [Google Scholar] [CrossRef]
  75. Nagpal, S.T.; Mottola, M.F. Physical activity throughout pregnancy is key to preventing chronic disease. Reproduction 2020, 160, R111–R118. [Google Scholar] [CrossRef]
  76. Truzzi, M.L.; Ballerini Puviani, M.; Tripodi, A.; Toni, S.; Farinetti, A.; Nasi, M.; Mattioli, A.V. Mediterranean Diet as a model of sustainable, resilient and healthy diet. Prog. Nutr. 2020, 22, 388–394. [Google Scholar]
  77. Sutton, E.F.; Gilmore, L.A.; Dunger, D.B.; Heijmans, B.T.; Hivert, M.F.; Ling, C.; Martinez, J.A.; Ozanne, S.E.; Simmons, R.A.; Szyf, M.; et al. Developmental programming: State-of-the-science and future directions-Summary from a Pennington Biomedical symposium. Obesity (Silver Spring) 2016, 24, 1018–1026. [Google Scholar] [CrossRef] [Green Version]
  78. Palinski, W. Effect of Maternal Cardiovascular Conditions and Risk Factors on Offspring Cardiovascular Disease. Circulation 2014, 129, 2066–2077. [Google Scholar] [CrossRef] [Green Version]
  79. Alexander, B.T.; Dasinger, J.H.; Intapad, S. Fetal Programming and Cardiovascular Pathology. Compr. Physiol. 2015, 5, 997–1025. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  80. Benschop, L.; Schalekamp-Timmermans, S.; van Lennep, J.E.R.; Jaddoe, V.W.; Steegers, E.A.; Ikram, M.K. Cardiovascular Risk Factors Track From Mother to Child. J. Am. Heart Assoc. 2018, 7, e009536. [Google Scholar] [CrossRef] [Green Version]
  81. Witvrouwen, I.; Mannaerts, D.; Van Berendoncks, A.M.; Jacquemyn, Y.; Van Craenenbroeck, E.M. The Effect of Exercise Training During Pregnancy to Improve Maternal Vascular Health: Focus on Gestational Hypertensive Disorders. Front. Physiol. 2020, 11, 450. [Google Scholar] [CrossRef]
  82. Cai, C.; Busch, S.; Wang, R.; Sivak, A.; Davenport, M.H. Physical activity before and during pregnancy and maternal mental health: A systematic review and meta-analysis of observational studies. J. Affect. Disord. 2022, 309, 393–403. [Google Scholar] [CrossRef] [PubMed]
  83. Catov, J.M.; Parker, C.B.; Gibbs, B.B.; Bann, C.M.; Carper, B.; Silver, R.M.; Simhan, H.N.; Parry, S.; Chung, J.H.; Haas, D.M.; et al. Patterns of leisure-time physical activity across pregnancy and adverse pregnancy outcomes. Int. J. Behav. Nutr. Phys. Act. 2018, 15, 68. [Google Scholar] [CrossRef] [Green Version]
  84. Clapp, J.F. Long-term outcome after exercising throughout pregnancy: Fitness and cardiovascular risk. Am. J. Obstet. Gynecol. 2008, 199, 489.e1–489.e6. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Rich-Edwards, J.W.; Stuart, J.; Skurnik, G.; Roche, A.T.; Tsigas, E.; Fitzmaurice, G.M.; Wilkins-Haug, L.E.; Levkoff, S.E.; Seely, E.W. Randomized Trial to Reduce Cardiovascular Risk in Women with Recent Preeclampsia. J. Women’s Health 2019, 28, 1493–1504. [Google Scholar] [CrossRef] [PubMed]
  86. Jowell, A.R.; Sarma, A.A.; Michos, M.G.E.D.; Vaught, A.J.; Natarajan, P.; Powe, C.E.; Honigberg, M.C. Interventions to mitigate cardiovascular disease risk after adverse pregnancy outcomes: A review. JAMA Cardiol. 2022, 7, 346–355. [Google Scholar] [CrossRef]
  87. Hamann, V.; Deruelle, P.; Enaux, C.; Deguen, S.; Kihal-Talantikite, W. Physical activity and gestational weight gain: A systematic review of observational studies. BMC Public Health 2022, 22, 1951. [Google Scholar] [CrossRef] [PubMed]
  88. Ackerman-Banks, C.M.; Lipkind, H.S.; Palmsten, K.; Pfeiffer, M.; Gelsinger, C.; Ahrens, K.A. Association of Prenatal Depression With New Cardiovascular Disease Within 24 Months Postpartum. J. Am. Hearth Assoc. 2023, 12, e028133. [Google Scholar] [CrossRef] [PubMed]
  89. Cattane, N.; Räikkönen, K.; Anniverno, R.; Mencacci, C.; Riva, M.A.; Pariante, C.M.; Cattaneo, A. Depression, obesity and their comorbidity during pregnancy: Effects on the offspring’s mental and physical health. Mol. Psychiatry 2021, 26, 462–481. [Google Scholar] [CrossRef] [PubMed]
  90. Brown, W.J.; Hayman, M.; Moran, L.J.; Redman, L.M.; Harrison, C.L. The Role of Physical Activity in Preconception, Pregnancy and Postpartum Health. Semin. Reprod. Med. 2016, 34, e28–e37. [Google Scholar] [CrossRef]
  91. Moholdt, T.; Hawley, J.A. Maternal Lifestyle Interventions: Targeting Preconception Health. Trends Endocrinol. Metab. 2020, 31, 561–569. [Google Scholar] [CrossRef]
  92. Khan, S.S.; Brewer, L.C.; Canobbio, M.M.; Cipolla, M.J.; Grobman, W.A.; Lewey, J.; Michos, E.D.; Miller, E.C.; Perak, A.M.; Wei, G.S.; et al. Optimizing Prepregnancy Cardiovascular Health to Improve Outcomes in Pregnant and Postpartum Individuals and Offspring: A Scientific Statement From the American Heart Association. Circulation 2023, 147, e76–e91. [Google Scholar] [CrossRef]
  93. Freaney, P.M.; Harrington, K.; Molsberry, R.; Perak, A.M.; Wang, M.C.; Grobman, W.; Greenland, P.; Allen, N.B.; Capewell, S.; O’flaherty, M.; et al. Temporal Trends in Adverse Pregnancy Outcomes in Birthing Individuals Aged 15 to 44 Years in the United States, 2007 to 2019. J. Am. Heart Assoc. 2022, 11, e025050. [Google Scholar] [CrossRef]
  94. Perak, A.M.; Ning, H.; Khan, S.S.; Van Horn, L.V.; Grobman, W.A.; Lloyd-Jones, D.M. Cardiovascular Health Among Pregnant Women, Aged 20 to 44 Years, in the United States. J. Am. Heart Assoc. 2020, 9, e015123. [Google Scholar] [CrossRef]
  95. Silva-Jose, C.; Sánchez-Polán, M.; Barakat, R.; Gil-Ares, J.; Refoyo, I. Level of Physical Activity in Pregnant Populations from Different Geographic Regions: A Systematic Review. J. Clin. Med. 2022, 11, 4638. [Google Scholar] [CrossRef]
  96. Kuhrt, K.; Hezelgrave, N.L.; Shennan, A.H. Exercise in pregnancy. Obstet. Gynaecol. 2015, 17, 281–287. [Google Scholar] [CrossRef]
  97. Meander, L.; Lindqvist, M.; Mogren, I.; Sandlund, J.; West, C.E.; Domellöf, M. Physical activity and sedentary time during pregnancy and associations with maternal and fetal health outcomes: An epidemiological study. BMC Pregnancy Childbirth 2021, 21, 166. [Google Scholar] [CrossRef] [PubMed]
  98. Parikh, N.I.; Gonzalez, J.M.; Anderson, C.A.; Judd, S.E.; Rexrode, K.M.; Hlatky, M.A.; Gunderson, E.P.; Stuart, J.J.; Vaidya, D. Adverse Pregnancy Outcomes and Cardiovascular Disease Risk: Unique Opportunities for Cardiovascular Disease Prevention in Women: A Scientific Statement from the American Heart Association. Circulation 2021, 143, e902–e916. [Google Scholar] [CrossRef] [PubMed]
  99. Leskinen, T.; Stenholm, S.; Heinonen, O.J.; Pulakka, A.; Aalto, V.; Kivimäki, M.; Vahtera, J. Change in physical activity and accumulation of cardiometabolic risk factors. Prev. Med. 2018, 112, 31–37. [Google Scholar] [CrossRef] [Green Version]
  100. Barrett, P.M.; McCarthy, F.P.; Kublickiene, K.; Cormican, S.; Judge, C.; Evans, M.; Kublickas, M.; Perry, I.J.; Stenvinkel, P.; Khashan, A.S. Faculty Opinions recommendation of Adverse Pregnancy Outcomes and Long-term Maternal Kidney Disease: A Systematic Review and Meta-analysis. JAMA Netw. Open 2020, 3, e1920964. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  101. ACOG Practice Bulletin No. 190: Gestational Diabetes Mellitus. Obstet. Gynecol. 2018, 131, e49–e64.
  102. Duckitt, K.; Harrington, D. Risk factors for pre-eclampsia at antenatal booking: Systematic review of controlled studies. BMJ 2005, 330, 565. [Google Scholar] [CrossRef] [Green Version]
  103. Mosca, L.; Benjamin, E.J.; Berra, K.; Bezanson, J.L.; Dolor, R.J.; Lloyd-Jones, D.M.; Newby, L.K.; Piña, I.L.; Roger, V.L.; Shaw, L.J.; et al. Effectiveness-Based Guidelines for the Prevention of Cardiovascular Disease in Women—2011 Update: A Guideline From the American Heart Association. Circulation 2011, 123, 1243–1262. [Google Scholar] [CrossRef] [Green Version]
  104. Grundy, S.M.; Stone, N.J.; Bailey, A.L.; Beam, C.; Birtcher, K.K.; Blumenthal, R.S.; Braun, L.T.; De Ferranti, S.; Faiella-Tommasino, J.; Forman, D.E.; et al. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019, 139, e1082–e1143. [Google Scholar]
  105. Bull, F.C.; Al-Ansari, S.S.; Biddle, S.; Borodulin, K.; Buman, M.P.; Cardon, G.; Carty, C.; Chaput, J.P.; Chastin, S.; Chou, R.; et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br. J. Sports Med. 2020, 54, 1451–1462. [Google Scholar] [CrossRef]
  106. Savvaki, D.; Taousani, E.; Goulis, D.G.; Tsirou, E.; Voziki, E.; Douda, H.; Nikolettos, N.; Tokmakidis, S.P. Guidelines for exercise during normal pregnancy and gestational diabetes: A review of international recommendations. Hormones 2018, 17, 521–529. [Google Scholar] [CrossRef] [PubMed]
  107. Hayman, M.; Brown, W.J.; Brinson, A.; Budzynski-Seymour, E.; Bruce, T.; Evenson, K.R. Public health guidelines for physical activity during pregnancy from around the world: A scoping review. Br. J. Sports Med. 2022. [Google Scholar] [CrossRef] [PubMed]
  108. Sternfeld, B.; Dugan, S. Physical Activity and Health During the Menopausal Transition. Obstet. Gynecol. Clin. N. Am. 2011, 38, 537–566. [Google Scholar] [CrossRef] [Green Version]
  109. Mattioli, A.V.; Moscucci, F.; Sciomer, S.; Maffei, S.; Nasi, M.; Pinti, M.; Bucciarelli, V.; Dei Cas, A.; Parati, G.; Ciccone, M.M.; et al. Cardiovascular prevention in women: An update by the Italian Society of Cardiology working group on ‘Prevention, hypertension and peripheral disease’. J. Cardiovasc. Med. (Hagerstown) 2023, 24 (Suppl. S2), e147–e155. [Google Scholar] [CrossRef]
  110. Centers for Disease, C. and Prevention, Trends in leisure-time physical inactivity by age, sex, and race/ethnicity--United States, 1994-2004. MMWR Morb. Mortal Wkly. Rep. 2005, 54, 991–994. [Google Scholar]
  111. Bucciarelli, V.; Bianco, F.; Mucedola, F.; Di Blasio, A.; Izzicupo, P.; Tuosto, D.; Ghinassi, B.; Bucci, I.; Napolitano, G.; Di Baldassarre, A.; et al. Effect of Adherence to Physical Exercise on Cardiometabolic Profile in Postmenopausal Women. Int. J. Environ. Res. Public Health 2021, 18, 656. [Google Scholar] [CrossRef]
  112. Izzicupo, P.; D’Amico, M.A.; Bascelli, A.; Di Fonso, A.; D’angelo, E.; Di Blasio, A.; Bucci, I.; Napolitano, G.; Gallina, S.; Di Baldassarre, A. Walking training affects dehydroepiandrosterone sulfate and inflammation independent of changes in spontaneous physical activity. Menopause 2013, 20, 455–463. [Google Scholar] [CrossRef]
  113. Izzicupo, P.; Ghinassi, B.; D’Amico, M.A.; Di Blasio, A.; Gesi, M.; Napolitano, G.; Gallina, S.; Di Baldassarre, A. Effects of ACE I/D Polymorphism and Aerobic Training on the Immune–Endocrine Network and Cardiovascular Parameters of Postmenopausal Women. J. Clin. Endocrinol. Metab. 2013, 98, 4187–4194. [Google Scholar] [CrossRef] [Green Version]
  114. Izzicupo, P.; D’amico, M.A.; Di Blasio, A.; Napolitano, G.; Nakamura, F.Y.; Di Baldassarre, A.; Ghinassi, B. Aerobic Training Improves Angiogenic Potential Independently of Vascular Endothelial Growth Factor Modifications in Postmenopausal Women. Front. Endocrinol. 2017, 8, 363. [Google Scholar] [CrossRef] [Green Version]
  115. Di Blasio, A.; Izzicupo, P.; Di Baldassarre, A.; Gallina, S.; Bucci, I.; Giuliani, C.; Di Santo, S.; Di Iorio, A.; Ripari, P.; Napolitano, G. Walking training and cortisol to DHEA-S ratio in postmenopause: An intervention study. Women Health 2018, 58, 387–402. [Google Scholar] [CrossRef]
  116. Di Blasio, A.; Izzicupo, P.; D’angelo, E.; Melanzi, S.; Bucci, I.; Gallina, S.; Di Baldassarre, A.; Napolitano, G. Effects of Patterns of Walking Training on Metabolic Health of Untrained Postmenopausal Women. J. Aging Phys. Act. 2014, 22, 482–489. [Google Scholar] [CrossRef]
  117. Gudmundsdottir, S.L.; Flanders, W.D.; Augestad, L.B. Physical activity and cardiovascular risk factors at menopause: The Nord-Trøndelag health study. Climacteric 2013, 16, 438–446. [Google Scholar] [CrossRef]
  118. Hyvarinen, M.; Juppi, H.K.; Taskinen, S.; Karppinen, J.E.; Karvinen, S.; Tammelin, T.H.; Kovanen, V.; Aukee, P.; Kujala, U.M.; Rantalainen, T.; et al. Metabolic health, menopause, and physical activity-a 4-year follow-up study. Int. J. Obes. (Lond.) 2022, 46, 544–554. [Google Scholar] [CrossRef]
  119. Juppi, H.-K.; Sipilä, S.; Cronin, N.J.; Karvinen, S.; Karppinen, J.E.; Tammelin, T.H.; Aukee, P.; Kovanen, V.; Kujala, U.M.; Laakkonen, E.K. Role of Menopausal Transition and Physical Activity in Loss of Lean and Muscle Mass: A Follow-Up Study in Middle-Aged Finnish Women. J. Clin. Med. 2020, 9, 1588. [Google Scholar] [CrossRef]
  120. Khalafi, M.; Sakhaei, M.H.; Maleki, A.H.; Rosenkranz, S.K.; Pourvaghar, M.J.; Fang, Y.; Korivi, M. Influence of exercise type and duration on cardiorespiratory fitness and muscular strength in post-menopausal women: A systematic review and meta-analysis. Front. Cardiovasc. Med. 2023, 10, 1190187. [Google Scholar] [CrossRef] [PubMed]
  121. Di Blasio, A.; Bucci, I.; Napolitano, G.; Melanzi, S.; Izzicupo, P.; Di Donato, F.; Tonizzo, C.; D’Angelo, E.; Ricci, G.; Ripari, P. Characteristics of spontaneous physical activity and executive functions in postmenopause. Minerva Med. 2013, 104, 61–74. [Google Scholar] [PubMed]
  122. Wu, S.; Shi, Y.; Zhao, Q.; Men, K. The relationship between physical activity and the severity of menopausal symptoms: A cross-sectional study. BMC Women’s Health 2023, 23, 212. [Google Scholar] [CrossRef] [PubMed]
  123. Tsao, C.W.; Aday, A.W.; Almarzooq, Z.I.; Alonso, A.; Beaton, A.Z.; Bittencourt, M.S.; Boehme, A.K.; Buxton, A.E.; Carson, A.P.; Commodore-Mensah, Y.; et al. Heart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association. Circulation 2022, 145, e153–e639. [Google Scholar] [CrossRef]
  124. Lee, Y.-S. Gender Differences in Physical Activity and Walking Among Older Adults. J. Women Aging 2005, 17, 55–70. [Google Scholar] [CrossRef] [PubMed]
  125. Izzicupo, P.; Di Blasio, A.; Di Credico, A.; Gaggi, G.; Vamvakis, A.; Napolitano, G.; Ricci, F.; Gallina, S.; Ghinassi, B.; Di Baldassarre, A. The Length and Number of Sedentary Bouts Predict Fibrinogen Levels in Postmenopausal Women. Int. J. Environ. Res. Public Health 2020, 17, 3051. [Google Scholar] [CrossRef]
  126. Bellettiere, J.; LaMonte, M.J.; Evenson, K.R.; Rillamas-Sun, E.; Kerr, J.; Lee, I.M.; Di, C.; Rosenberg, D.E.; Stefanick, M.L.; Buchner, D.M.; et al. Sedentary behavior and cardiovascular disease in older women: The Objective Physical Activity and Cardiovascular Health (OPACH) Study. Circulation 2019, 139, 1036–1046. [Google Scholar] [CrossRef]
  127. Dogra, S.; Ashe, M.C.; Biddle, S.J.H.; Brown, W.J.; Buman, M.P.; Chastin, S.; Gardiner, P.A.; Inoue, S.; Jefferis, B.J.; Oka, K.; et al. Sedentary time in older men and women: An international consensus statement and research priorities. Br. J. Sports Med. 2017, 51, 1526–1532. [Google Scholar] [CrossRef] [Green Version]
  128. Paolisso, P.; Bergamaschi, L.; Saturi, G.; D’Angelo, E.C.; Magnani, I.; Toniolo, S.; Stefanizzi, A.; Rinaldi, A.; Bartoli, L.; Angeli, F.; et al. Secondary Prevention Medical Therapy and Outcomes in Patients With Myocardial Infarction With Non-Obstructive Coronary Artery Disease. Front. Pharmacol. 2019, 10, 1606. [Google Scholar] [CrossRef] [Green Version]
  129. Di Blasio, A.; Ripari, P.; Bucci, I.; Di Donato, F.; Izzicupo, P.; D’Angelo, E.; Di Nenno, B.; Taglieri, M.; Napolitano, G. Walking training in postmenopause: Effects on both spontaneous physical activity and training-induced body adaptations. Menopause 2012, 19, 23–32. [Google Scholar] [CrossRef]
  130. Di Blasio, A.; Bucci, I.; Ripari, P.; Giuliani, C.; Izzicupo, P.; Di Donato, F.; D’angelo, E.; Napolitano, G. Lifestyle and high density lipoprotein cholesterol in postmenopause. Climacteric 2014, 17, 37–47. [Google Scholar] [CrossRef] [PubMed]
  131. Di Blasio, A.; Di Donato, F.; Di Santo, S.; Bucci, I.; Izzicupo, P.; Di Baldassarre, A.; Gallina, S.; Bergamin, M.; Ripari, P.; Napolitano, G. Aerobic physical exercise and negative compensation of non-exercise physical activity in post-menopause: A pilot study. J. Sports Med. Phys. Fit. 2018, 58, 1497–1508. [Google Scholar] [CrossRef]
  132. Cugusi, L.; Manca, A.; Serpe, R.; Romita, G.; Bergamin, M.; Cadeddu, C.; Solla, P.; Mercuro, G. Effects of a mini-trampoline rebounding exercise program on functional parameters, body composition and quality of life in overweight women. J. Sports Med. Phys. Fit. 2018, 58, 287–294. [Google Scholar] [CrossRef]
  133. Cugusi, L.; Manca, A.; Bergamin, M.; Di Blasio, A.; Yeo, T.J.; Crisafulli, A.; Mercuro, G. Zumba Fitness and Women’s Cardiovascular Health: A systematic review. J. Cardiopulm. Rehabil. Prev. 2019, 39, 153–160. [Google Scholar] [CrossRef]
  134. Thomas, A.; Daley, A.J. Women’s views about physical activity as a treatment for vasomotor menopausal symptoms: A qualitative study. BMC Women’s Health 2020, 20, 203. [Google Scholar] [CrossRef] [PubMed]
  135. Fricke, A.; Rauff, E.; Fink, P.W.; Lark, S.D.; Rowlands, D.S.; Shultz, S.P. Perceptions of a 12-week mini-trampoline exercise intervention for postmenopausal women. J. Sport Exerc. Sci. 2023, 1, 53–59. [Google Scholar]
  136. Di Blasio, A.; Di Donato, F.; Mastrodicasa, M.; Fabrizio, N.; Di Renzo, D.; Napolitano, G.; Petrella, V.; Gallina, S.; Ripari, P. Effects of the time of day of walking on dietary behaviour, body composition and aerobic fitness in post-menopausal women. J. Sports Med. Phys. Fit. 2010, 50, 196–201. [Google Scholar]
  137. Paynter, N.P.; LaMonte, M.J.; Manson, J.E.; Martin, L.W.; Phillips, L.S.; Ridker, P.M.; Robinson, J.G.; Cook, N.R. Comparison of Lifestyle-Based and Traditional Cardiovascular Disease Prediction in a Multiethnic Cohort of Nonsmoking Women. Circulation 2014, 130, 1466–1473. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  138. Lee, I.M. Physical activity and coronary heart disease in women: Is “no pain, no gain” passe? JAMA 2001, 285, 1447–1454. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  139. Akgöz, A.D.; Ozer, Z.; Gözüm, S. The effect of lifestyle physical activity in reducing cardiovascular disease risk factors (blood pressure and cholesterol) in women: A systematic review. Health Care Women Int. 2021, 42, 4–27. [Google Scholar] [CrossRef]
  140. Seguin, R.; Buchner, D.M.; Liu, J.; Allison, M.; Manini, T.; Wang, C.Y.; Manson, J.E.; Messina, C.R.; Patel, M.J.; Moreland, L.; et al. Sedentary behavior and mortality in older women: The Women’s Health Initiative. Am. J. Prev. Med. 2014, 46, 122–135. [Google Scholar] [CrossRef] [Green Version]
  141. Chomistek, A.K.; Manson, J.E.; Stefanick, M.L.; Lu, B.; Sands-Lincoln, M.; Going, S.B.; Garcia, L.; Allison, M.A.; Sims, S.T.; LaMonte, M.J.; et al. Relationship of Sedentary Behavior and Physical Activity to Incident Cardiovascular Disease. JACC 2013, 61, 2346–2354. [Google Scholar] [CrossRef] [Green Version]
  142. Ekelund, U.; Steene-Johannessen, J.; Brown, W.J.; Fagerland, M.W.; Owen, N.; Powell, K.E.; Bauman, A.; Lee, I.-M. Does physical activity attenuate, or even eliminate, the detrimental association of sitting time with mortality? A harmonised meta-analysis of data from more than 1 million men and women. Lancet 2016, 388, 1302–1310. [Google Scholar] [CrossRef] [Green Version]
  143. Ekelund, U.; Tarp, J.; Steene-Johannessen, J.; Hansen, B.H.; Jefferis, B.; Fagerland, M.W.; Whincup, P.; Diaz, K.M.; Hooker, S.P.; Chernofsky, A.; et al. Dose-response associations between accelerometry measured physical activity and sedentary time and all cause mortality: Systematic review and harmonised meta-analysis. BMJ 2019, 366, l4570. [Google Scholar] [CrossRef] [Green Version]
  144. Länsitie, M.; Kangas, M.; Jokelainen, J.; Venojärvi, M.; Timonen, M.; Keinänen-Kiukaanniemi, S.; Korpelainen, R. Cardiovascular disease risk and all-cause mortality associated with accelerometer-measured physical activity and sedentary time—A prospective population-based study in older adults. BMC Geriatr. 2022, 22, 729. [Google Scholar] [CrossRef] [PubMed]
  145. Du, L.; Li, G.; Ren, P.; He, Q.; Pan, Y.; Chen, S.; Zhang, X. Associations between objectively measured patterns of sedentary behaviour and arterial stiffness in Chinese community-dwelling older women. Eur. J. Cardiovasc. Nurs. 2023, 22, 374–381. [Google Scholar] [CrossRef] [PubMed]
  146. Bakker, E.A.; van Bakel, B.M.; Aengevaeren, W.R.; Meindersma, E.P.; Snoek, J.A.; Waskowsky, W.M.; van Kuijk, A.A.; Jacobs, M.M.; Hopman, M.T.; Thijssen, D.H.; et al. Sedentary behaviour in cardiovascular disease patients: Risk group identification and the impact of cardiac rehabilitation. Int. J. Cardiol. 2021, 326, 194–201. [Google Scholar] [CrossRef] [PubMed]
  147. Duran, A.T.; Garber, C.E.; Cornelius, T.; Schwartz, J.E.; Diaz, K.M. Patterns of Sedentary Behavior in the First Month After Acute Coronary Syndrome. J. Am. Heart Assoc. 2019, 8, e011585. [Google Scholar] [CrossRef] [Green Version]
  148. Vasankari, V.; Halonen, J.; Vasankari, T.; Anttila, V.; Airaksinen, J.; Sievänen, H.; Hartikainen, J. Physical activity and sedentary behaviour in secondary prevention of coronary artery disease: A review. Am. J. Prev. Cardiol. 2021, 5, 100146. [Google Scholar] [CrossRef] [PubMed]
  149. LaMonte, M.J.; Larson, J.C.; Manson, J.E.; Bellettiere, J.; Lewis, C.E.; LaCroix, A.Z.; Bea, J.W.; Johnson, K.C.; Klein, L.; Noel, C.A.; et al. Association of Sedentary Time and Incident Heart Failure Hospitalization in Postmenopausal Women. Circ. Heart Fail. 2020, 13, e007508. [Google Scholar] [CrossRef]
  150. Visseren, F.L.; Mach, F.; Smulders, Y.M.; Carballo, D.; Koskinas, K.C.; Bäck, M.; Benetos, A.; Biffi, A.; Boavida, J.M.; Capodanno, D.; et al. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice. Eur. Heart J. 2021, 42, 3227–3337. [Google Scholar] [CrossRef]
  151. Abreu, A.; Frederix, I.; Dendale, P.; Janssen, A.; Doherty, P.; Piepoli, M.F.; Völler, H.; on behalf of the Secondary Prevention and Rehabilitation Section of EAPC Reviewers: Marco Ambrosetti; Davos, C.H. Standardization and quality improvement of secondary prevention through cardiovascular rehabilitation programmes in Europe: The avenue towards EAPC accreditation programme: A position statement of the Secondary Prevention and Rehabilitation Section of the European Association of Preventive Cardiology (EAPC). Eur. J. Prev. Cardiol. 2021, 28, 496–509. [Google Scholar] [CrossRef]
  152. Bjarnason-Wehrens, B.; McGee, H.; Zwisler, A.-D.; Piepoli, M.F.; Benzer, W.; Schmid, J.-P.; Dendale, P.; Pogosova, N.-G.V.; Zdrenghea, D.; Niebauer, J.; et al. Cardiac rehabilitation in Europe: Results from the European Cardiac Rehabilitation Inventory Survey. Eur. J. Prev. Cardiol. 2010, 17, 410–418. [Google Scholar] [CrossRef] [PubMed]
  153. Hansen, D.; Dendale, P.; Coninx, K.; Vanhees, L.; Piepoli, M.F.; Niebauer, J.; Cornelissen, V.; Pedretti, R.; Geurts, E.; Ruiz, G.R.; et al. The European Association of Preventive Cardiology Exercise Prescription in Everyday Practice and Rehabilitative Training (EXPERT) tool: A digital training and decision support system for optimized exercise prescription in cardiovascular disease. Concept, definitions and construction methodology. Eur. J. Prev. Cardiol. 2017, 24, 1017–1031. [Google Scholar] [CrossRef]
  154. Resurreccion, D.; Moreno-Peral, P.; Gómez-Herranz, M.; Rubio-Valera, M.; Pastor, L.; De Almeida, J.M.C.; Motrico, E. Factors associated with non-participation in and dropout from cardiac rehabilitation programmes: A systematic review of prospective cohort studies. Eur. J. Cardiovasc. Nurs. 2019, 18, 38–47. [Google Scholar] [CrossRef]
  155. Hamilton, S.J.; Mills, B.; Birch, E.M.; Thompson, S.C. Smartphones in the secondary prevention of cardiovascular disease: A systematic review. BMC Cardiovasc. Disord. 2018, 18, 25. [Google Scholar] [CrossRef]
  156. Bucciarelli, V.; Nasi, M.; Bianco, F.; Seferovic, J.; Ivkovic, V.; Gallina, S.; Mattioli, A.V. Depression pandemic and cardiovascular risk in the COVID-19 era and long COVID syndrome: Gender makes a difference. Trends Cardiovasc. Med. 2022, 32, 12–17. [Google Scholar] [CrossRef]
  157. Nienhuis, C.P.; Lesser, I.A. The Impact of COVID-19 on Women’s Physical Activity Behavior and Mental Well-Being. Int. J. Environ. Res. Public Health 2020, 17, 9036. [Google Scholar] [CrossRef]
  158. Okuyama, J.; Seto, S.; Fukuda, Y.; Funakoshi, S.; Amae, S.; Onobe, J.; Izumi, S.; Ito, K.; Imamura, F. Mental Health and Physical Activity among Children and Adolescents during the COVID-19 Pandemic. Tohoku J. Exp. Med. 2021, 253, 203–215. [Google Scholar] [CrossRef] [PubMed]
  159. Coronado, P.J.; Fasero, M.; Otero, B.; Sanchez, S.; de la Viuda, E.; Ramirez-Polo, I.; Llaneza, P.; Mendoza, N.; Baquedano, L. Health-related quality of life and resilience in peri- and postmenopausal women during COVID-19 confinement. Maturitas 2021, 144, 4–10. [Google Scholar] [CrossRef] [PubMed]
  160. Kaygısız, B.B.; Topcu, Z.G.; Meriç, A.; Gözgen, H.; Çoban, F. Determination of exercise habits, physical activity level and anxiety level of postmenopausal women during COVID-19 pandemic. Health Care Women Int. 2020, 41, 1240–1254. [Google Scholar] [CrossRef] [PubMed]
  161. Ricci, F.; Izzicupo, P.; Moscucci, F.; Sciomer, S.; Maffei, S.; Di Baldassarre, A.; Mattioli, A.V.; Gallina, S. Recommendations for Physical Inactivity and Sedentary Behavior During the Coronavirus Disease (COVID-19) Pandemic. Front. Public Health 2020, 8, 199. [Google Scholar] [CrossRef]
  162. Mattioli, A.V.; Sciomer, S.; Maffei, S.; Gallina, S. Lifestyle and Stress Management in Women During COVID-19 Pandemic: Impact on Cardiovascular Risk Burden. Am. J. Lifestyle Med. 2021, 15, 356–359. [Google Scholar] [CrossRef] [PubMed]
  163. Mattioli, A.V.; Coppi, F.; Gallina, S. Importance of physical activity during and after the SARS-CoV-2/COVID-19 pandemic: A strategy for women to cope with stress. Eur. J. Neurol. 2021, 28, e78–e79. [Google Scholar] [CrossRef]
  164. Davenport, M.H.; Meyer, S.; Meah, V.L.; Strynadka, M.C.; Khurana, R. Moms Are Not OK: COVID-19 and Maternal Mental Health. Front. Glob. Women’s Health 2020, 1, 1. [Google Scholar] [CrossRef]
  165. Moscucci, F.; Gallina, S.; Bucciarelli, V.; Aimo, A.; Pelà, G.; Cadeddu-Dessalvi, C.; Nodari, S.; Maffei, S.; Meloni, A.; Deidda, M.; et al. Impact of COVID-19 on the cardiovascular health of women: A review by the Italian Society of Cardiology Working Group on ‘gender cardiovascular diseases’. J. Cardiovasc. Med. 2023, 24 (Suppl. S1), e15–e23. [Google Scholar] [CrossRef]
  166. De Gaetano, A.; Solodka, K.; Zanini, G.; Selleri, V.; Mattioli, A.V.; Nasi, M.; Pinti, M. Molecular Mechanisms of mtDNA-Mediated Inflammation. Cells 2021, 10, 2898. [Google Scholar] [CrossRef] [PubMed]
  167. Mattioli, A.V.; Selleri, V.; Zanini, G.; Nasi, M.; Pinti, M.; Stefanelli, C.; Fedele, F.; Gallina, S. Physical Activity and Diet in Older Women: A Narrative Review. J. Clin. Med. 2022, 12, 81. [Google Scholar] [CrossRef] [PubMed]
  168. Nabavi, N. Long covid: How to define it and how to manage it. BMJ 2020, 370, m3489. [Google Scholar] [CrossRef]
  169. Mattioli, A.V.; Coppi, F.; Nasi, M.; Pinti, M.; Gallina, S. Long COVID: A New Challenge for Prevention of Obesity in Women. Am. J. Lifestyle Med. 2023, 17, 164–168. [Google Scholar] [CrossRef] [PubMed]
  170. Yelin, D.; Wirtheim, E.; Vetter, P.; Kalil, A.C.; Bruchfeld, J.; Runold, M.; Guaraldi, G.; Mussini, C.; Gudiol, C.; Pujol, M.; et al. Long-term consequences of COVID-19: Research needs. Lancet Infect. Dis. 2020, 20, 1115–1117. [Google Scholar] [CrossRef]
  171. World Health Organization. Post COVID-19 Condition (Long COVID). 2022. Available online: https://www.who.int/europe/news-room/fact-sheets/item/post-covid-19-condition (accessed on 28 March 2022).
  172. Hanson, S.W.; Abbafati, C.; Aerts, J.G.; Al-Aly, Z.; Ashbaugh, C.; Ballouz, T.; Blyuss, O.; Bobkova, P.; Bonsel, G.; Borzakova, S.; et al. Estimated Global Proportions of Individuals With Persistent Fatigue, Cognitive, and Respiratory Symptom Clusters Following Symptomatic COVID-19 in 2020 and 2021. JAMA 2022, 328, 1604–1615. [Google Scholar]
  173. Carter, S.J.; Baranauskas, M.N.; Raglin, J.S.; Pescosolido, B.A.; Perry, B.L. Functional Status, Mood State, and Physical Activity Among Women With Post-Acute COVID-19 Syndrome. Int. J. Public Health 2022, 67, 1604589. [Google Scholar] [CrossRef]
  174. Gil, S.; Gualano, B.; de Araújo, A.L.; de Oliveira Júnior, G.N.; Damiano, R.F.; Pinna, F.; Imamura, M.; Rocha, V.; Kallas, E.; Batistella, L.R.; et al. Post-acute sequelae of SARS-CoV-2 associates with physical inactivity in a cohort of COVID-19 survivors. Sci. Rep. 2023, 13, 215. [Google Scholar] [CrossRef]
  175. Wright, J.; Astill, S.L.; Sivan, M. The Relationship between Physical Activity and Long COVID: A Cross-Sectional Study. Int. J. Environ. Res. Public Health 2022, 19, 5093. [Google Scholar] [CrossRef]
  176. Hayes, L.D.; Ingram, J.; Sculthorpe, N.F. More Than 100 Persistent Symptoms of SARS-CoV-2 (Long COVID): A Scoping Review. Front. Med. (Lausanne) 2021, 8, 750378. [Google Scholar] [CrossRef]
  177. Nandadeva, D.; Skow, R.J.; Stephens, B.Y.; Grotle, A.-K.; Georgoudiou, S.; Barshikar, S.; Seo, Y.; Fadel, P.J. Cardiovascular and Cerebral Vascular Health in Females with Post-Acute Sequelae of COVID-19 (PASC). Am. J. Physiol. Circ. Physiol. 2023, 324, H713–H720. [Google Scholar] [CrossRef] [PubMed]
  178. Whiteson, J.H.; Azola, A.; Barry, J.T.; Bartels, M.N.; Blitshteyn, S.; Fleming, T.K.; McCauley, M.D.; Neal, J.D.; Pillarisetti, J.; Sampsel, S.; et al. Multi-disciplinary collaborative consensus guidance statement on the assessment and treatment of cardiovascular complications in patients with post-acute sequelae of SARS-CoV-2 infection (PASC). PM R 2022, 14, 855–878. [Google Scholar] [CrossRef] [PubMed]
  179. Tabacof, L.; Tosto-Mancuso, J.; Wood, J.; Cortes, M.; Kontorovich, A.; McCarthy, D.; Rizk, D.; Rozanski, G.; Breyman, E.; Nasr, L.; et al. Post-acute COVID-19 Syndrome Negatively Impacts Physical Function, Cognitive Function, Health-Related Quality of Life, and Participation. Am. J. Phys. Med. Rehabil. 2022, 101, 48–52. [Google Scholar] [CrossRef]
  180. Bellan, M.; Soddu, D.; Balbo, P.E.; Baricich, A.; Zeppegno, P.; Avanzi, G.C.; Baldon, G.; Bartolomei, G.; Battaglia, M.; Battistini, S.; et al. Respiratory and Psychophysical Sequelae Among Patients With COVID-19 Four Months After Hospital Discharge. JAMA Netw. Open 2021, 4, e2036142. [Google Scholar] [CrossRef] [PubMed]
  181. Fugazzaro, S.; Contri, A.; Esseroukh, O.; Kaleci, S.; Croci, S.; Massari, M.; Facciolongo, N.C.; Besutti, G.; Iori, M.; Salvarani, C.; et al. Rehabilitation Interventions for Post-Acute COVID-19 Syndrome: A Systematic Review. Int. J. Environ. Res. Public Health 2022, 19, 5185. [Google Scholar] [CrossRef]
  182. Schwendinger, F. Exercise as medicine in post-COVID-19: A call to action. Sport. Exerc. Med. 2022, 70. [Google Scholar] [CrossRef]
  183. Twomey, R.; DeMars, J.; Franklin, K.; Culos-Reed, S.N.; Weatherald, J.; Wrightson, J.G. Chronic Fatigue and Postexertional Malaise in People Living With Long COVID: An Observational Study. Phys. Ther. 2022, 102, pzac005. [Google Scholar] [CrossRef]
  184. Hafner, M.; Yerushalmi, E.; Stepanek, M.; Phillips, W.; Pollard, J.; Deshpande, A.; Whitmore, M.; Millard, F.; Subel, S.; Van Stolk, C. Estimating the global economic benefits of physically active populations over 30 years (2020–2050). Br. J. Sports Med. 2020, 54, 1482–1487. [Google Scholar] [CrossRef]
  185. Climie, R.; Fuster, V.; Empana, J.-P. Health Literacy and Primordial Prevention in Childhood—An Opportunity to Reduce the Burden of Cardiovascular Disease. JAMA Cardiol. 2020, 5, 1323. [Google Scholar] [CrossRef]
  186. Guthold, R.; Willumsen, J.; Bull, F.C. What is driving gender inequalities in physical activity among adolescents? J. Sport Health Sci. 2022, 11, 424–426. [Google Scholar] [CrossRef]
Figure 1. Physical activity (PA) benefits compared with physical inactivity (PI) adverse effects throughout women’s life stages and across different clinical scenarios. Abbreviations: CV, cardiovascular; NC, non-communicable; CVD, cardiovascular disease.
Figure 1. Physical activity (PA) benefits compared with physical inactivity (PI) adverse effects throughout women’s life stages and across different clinical scenarios. Abbreviations: CV, cardiovascular; NC, non-communicable; CVD, cardiovascular disease.
Jcm 12 04347 g001
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Bucciarelli, V.; Mattioli, A.V.; Sciomer, S.; Moscucci, F.; Renda, G.; Gallina, S. The Impact of Physical Activity and Inactivity on Cardiovascular Risk across Women’s Lifespan: An Updated Review. J. Clin. Med. 2023, 12, 4347. https://doi.org/10.3390/jcm12134347

AMA Style

Bucciarelli V, Mattioli AV, Sciomer S, Moscucci F, Renda G, Gallina S. The Impact of Physical Activity and Inactivity on Cardiovascular Risk across Women’s Lifespan: An Updated Review. Journal of Clinical Medicine. 2023; 12(13):4347. https://doi.org/10.3390/jcm12134347

Chicago/Turabian Style

Bucciarelli, Valentina, Anna Vittoria Mattioli, Susanna Sciomer, Federica Moscucci, Giulia Renda, and Sabina Gallina. 2023. "The Impact of Physical Activity and Inactivity on Cardiovascular Risk across Women’s Lifespan: An Updated Review" Journal of Clinical Medicine 12, no. 13: 4347. https://doi.org/10.3390/jcm12134347

APA Style

Bucciarelli, V., Mattioli, A. V., Sciomer, S., Moscucci, F., Renda, G., & Gallina, S. (2023). The Impact of Physical Activity and Inactivity on Cardiovascular Risk across Women’s Lifespan: An Updated Review. Journal of Clinical Medicine, 12(13), 4347. https://doi.org/10.3390/jcm12134347

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop