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Systematic Review

The Effect of Lifestyle Interventions on Anxiety, Depression and Stress: A Systematic Review and Meta-Analysis of Randomized Clinical Trials

by
Sohrab Amiri
1,
Nailah Mahmood
2,
Syed Fahad Javaid
3,* and
Moien AB Khan
4,*
1
Spiritual Health Research Center, Lifestyle Institute, Baqiyatallah University of Medical Sciences, Tehran 17166, Iran
2
Division of Health Research, Lancaster University, Lancaster LA1 4YW, UK
3
Health and Wellness Research Group, Department of Psychiatry and Behavioral Sciences, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain 15551, United Arab Emirates
4
Health and Wellness Research Group, Department of Family Medicine, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain 15551, United Arab Emirates
*
Authors to whom correspondence should be addressed.
Healthcare 2024, 12(22), 2263; https://doi.org/10.3390/healthcare12222263
Submission received: 17 September 2024 / Revised: 29 October 2024 / Accepted: 8 November 2024 / Published: 13 November 2024
(This article belongs to the Special Issue Prevention and Management of Chronic Diseases)

Abstract

:
Background/Objectives: Depression, anxiety, and stress are common mental health issues that affect individuals worldwide. This systematic review and meta-analysis examined the effectiveness of various lifestyle interventions including physical activity, dietary changes, and sleep hygiene in reducing the symptoms of depression, anxiety, and stress. Using stress as an outcome and conducting detailed subgroup analyses, this study provides novel insights into the differential effects of lifestyle interventions across diverse populations. Methods: Five databases were systematically searched: PubMed, Web of Science, Scopus, Cochrane Library, and Google Scholar, for gray literature searches. Keywords were used to search each database. The search period was from the conception of the databases until August 2023 and was conducted in English. For each analysis, Hedges’ g was reported with a 95% confidence interval (CI) based on the random-effects method. Subgroups were analyzed and heterogeneity and publication bias were examined. Results: Ninety-six randomized clinical trial studies were included in this meta-analysis. Lifestyle interventions reduced depression (Hedges g −0.21, 95% confidence interval −0.26, −0.15; p < 0.001; I2 = 56.57), anxiety (Hedges g −0.24, 95% confidence interval −0.32, −0.15; p < 0.001; I2 = 59.25), and stress (−0.34, −0.11; p < 0.001; I2 = 61.40). Conclusions: Lifestyle interventions offer a more accessible and cost-effective alternative to traditional treatments and provide targeted benefits for different psychological symptoms.

1. Introduction

Mental disorders are among the conditions that place a high burden on healthcare [1] and remain among the primary causes of disease burden worldwide. However, there is no evidence of a decrease in this burden compared to previous decades [2]. Depression and anxiety are two categories of common mental disorders with a significant health burden [2]. In 2021, the Global Burden of Disease Study indicated that depression and anxiety are leading causes of disability, and both are among the 25 leading causes of disability worldwide [2,3]. The global prevalence of depressive disorders in 2019 was equal to 3440.1 per 100,000, and the prevalence rates for men and women were 2713.3 and 4158.4 per 100,000, respectively [2]. In addition, the prevalence of anxiety disorders is 3379.5/100,000, and the prevalence rates for men and women are 2859.8 and 4694.75 per 100,000, respectively [2]. The COVID-19 pandemic has affected public health as well as social structures, contributing to a significant increase in stress levels and further exacerbating mental health challenges worldwide [4,5].
According to a World Health Organization (WHO) report published in 2022, one out of every eight people worldwide live with a mental illness [6]. Thus, globally, 970 million people live with a mental disorder, of which depression and anxiety are the most common [7]. Several factors are associated with the prevalence of depression, anxiety disorders, and stress, including personality traits [8], financial status [9], biological factors [10], parental factors [11], and chronic diseases [12]. Additionally, a class of factors that can affect depression, anxiety, and stress is related to lifestyle, including physical activity [13,14,15,16,17], dietary patterns [18,19], sleep problems [20,21], smoking [22,23], and body mass index [24,25,26].
Lifestyle refers to “the characteristics of inhabitants of a region in special time and place” [27]. Interventions based on a healthy lifestyle have improved physical and mental health, with several studies exhibiting their effectiveness in cases of type 2 diabetes [28,29], obesity [30,31], cardiovascular risk [32], reducing cancer risk [33], obstructive sleep apnea [34], preventing weight gain [35], and mental health [36]. Considering the role of lifestyle interventions in improving health status, studies have investigated their effects in improving mental health and issues related to it [37,38].
A healthy lifestyle effectively reduces depression and anxiety [39,40]. A comprehensive review of studies conducted on the effectiveness of lifestyle interventions for common mental disorders, including depression and anxiety, indicated that there is extensive research available on this field, based on which, review and meta-analysis studies have also been conducted [39,40,41,42,43,44,45,46]. Specifically, for depression, results indicate that Cohen’s effect size ranges from −0.18 to −0.95 [40,41,43] while, for anxiety symptoms, Cohen’s effect size has been reported at −0.19 [39]. Although these reviews and meta-analyses offer valuable insights, they have revealed critical gaps. Most studies have focused on depression and anxiety; however, psychological stress, which is a distinct mental health condition, has not been thoroughly explored [47]. Although the effectiveness of lifestyle interventions may vary across different patient populations, few studies have analyzed the outcomes based on these differences. Given that depression and anxiety are more prevalent among women, the specific impact of lifestyle interventions on these disorders in women has been understudied [48]. Furthermore, various scales have been used to measure depression, anxiety, and stress; however, the potential impact of these differences in measurement tools on study outcomes has not been sufficiently addressed in previous meta-analyses. Recognizing these gaps, this systematic review and meta-analysis aimed to evaluate the effects of lifestyle interventions on depression, anxiety, and stress. Additional objectives include analyzing the influence of these interventions across different population subgroups, specifically among women, and investigating how measurement scales may affect the results.

2. Methods

2.1. Inclusion and Exclusion Criteria

  • The population studied in this research were under lifestyle interventions.
  • Eligible studies must have a lifestyle intervention group and a control group.
  • The outcomes examined in these studies were depression, anxiety, and stress.
  • Randomized clinical trials were eligible. Non-randomized clinical trials, quasi-experimental, and cluster randomized clinical trials were not eligible. Quasi-experimental studies were excluded because of the likelihood of confounding variables affecting the internal validity. Furthermore, studies presenting mixed or combined results were omitted to maintain uniformity in the outcome metrics for depression, anxiety, and stress. It was not possible to calculate the exact effect size, because the studies did not report the number of clusters, intra-class correlation was not reported in cluster randomized control trials, and it was not possible to estimate the effect size correctly [49,50], nor pre-post designs.
  • Studies that studied mixed multiple outcomes were not eligible.
  • For some studies. several reports were published and, in these cases, only the study with the best quality was included in the meta-analysis, excluding the rest.

2.2. Information Sources

Five databases were systematically searched to retrieve eligible articles: PubMed, Web of Science, Scopus, the Cochrane Library, and Google Scholar. Google Scholar was specifically used to identify gray literature. A set of keywords were used to search each database. In addition, all references for previous review studies in this regard were also searched by one of the authors. The search period was demarcated from the beginning of database formation. The search was conducted in English until August 2023.

2.3. Search Strategy

The review protocol has been registered with PROSPERO under the identifier CRD42023390131. Since the data used in this review were gathered from publicly accessible databases and online searches, ethics committee approval and informed consent were not required necessary. The study selection process is illustrated in Figure 1. A syntax of keywords is shown in Appendix A.

2.4. Selection Process

Eligible studies were screened and selected as follows. First, each author screened the collection of studies compiled from five databases based on the inclusion and exclusion criteria. Then, the work was divided into eligible articles, where each author reviewed a set of articles. This process was performed independently. Disagreements were resolved by discussing the final articles.

2.5. Data Collection Process

All eligible articles were divided among the authors so that each of them could extract the necessary data. After extracting data from each study, all extracted data were checked again. If the study data were insufficient, one of the authors contacted the other to obtain the necessary information.

2.6. Data Items

The intervention variable used in the present study consisted of interventions based on lifestyle. For an intervention to be considered as “lifestyle” oriented, at least two components from, the total lifestyle items had to be included. The outcomes of the study were depression, anxiety, and stress. Depression and anxiety are common mental health disorders. Instruments to measure depression, anxiety, and stress were used in this study. All scales used are listed in Table 1.

2.7. Study Risk of Bias Assessment

Following PRISMA guidelines, we used the Cochrane Collaboration’s risk of bias tool to evaluate the quality of the included studies [51]. The tool includes five dimensions of quality assessment: selection bias, performance bias, detection bias, attrition bias, and reporting bias. Bias was evaluated by judging each element from the five key domains. Each element was classified as having high, low, or unclear risk of bias. In this qualitative evaluation, the authors entered independently, and then qualitative evaluations were integrated through a discussion of disagreements. Overall, the quality was sufficient to support robust conclusions, with most studies meeting acceptable quality standards. A detailed summary of the risk of bias for each study is provided in Table 1, which aids in interpreting the reliability and generalizability of the meta-analysis findings.

2.8. Effect Measures

The effect size used in this study was the standardized mean difference, which was reported in the form of Hedges’ g effect size and 95% confidence interval (CI). Means, standard deviations, and sample sizes were used for each intervention and control group. In cases where these statistics were not reported, the sample size and p value were used.

2.9. Synthesis Methods

To calculate the effect size, the mean, standard deviation, and sample size of the intervention and treatment groups were extracted in the post-test. In some studies, instead of standard deviation, standard error or confidence interval was reported, and the Cochrane Handbook procedures were used to convert these into standard deviations [52]. Some studies used the mean change or mean difference or other tests to check for differences between the intervention and control groups. In this case, existing procedures were used to calculate the effect size, which included the use of sample size, p value, and direction, the details of which are mentioned in the guide [53]. Some studies have reported multiple dependent outcomes, which were transformed using existing procedures using Comprehensive meta-analysis-Version 3.3 software [53,54]. The effect size used in this study was Hedges’ g, and the 95% confidence interval was classified as follows: 0.20 (low), −0.50 (medium), 0.80 (large) [55]. For each analysis, Hedges’ g was reported with a 95% confidence interval (CI) based on the random-effects method. Hedges’ g was used because it considers the sample size, and the studies included in this meta-analysis had different sample sizes [56]. Based on the goals of this study, the following analyses were conducted. The effects of lifestyle interventions on depression, anxiety, and stress were analyzed separately. For each of these analyses, several subgroups were created based on the type of population and scale used to measure depression, anxiety, stress, and sex. Heterogeneity in the studies included in the meta-analysis and publication bias were also examined. These tests were used for the heterogeneity Q test and I2 [57,58]. An interpretation of I2 is as follows: may not be important, moderate, substantial, and considerable [59]. For publication bias, these tests used funnel plots [60,61], Egger’s test [62,63], and Trim and fill [64]. Comprehensive meta-analysis-3 software was used in this study [53].

3. Results and Discussion

3.1. Screened Studies

The studies were screened based on the flowchart shown in Figure 1. After identifying duplicate studies, ineligible studies and other studies that did not meet the inclusion criteria were excluded. Finally, 97 clinical trial studies [65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160] were included in this meta-analysis.
Table 1. Studies included in meta-analysis.
Table 1. Studies included in meta-analysis.
Author and YearCountryFollow-UpPopulationAge Sex
% Women
Sample Size Lifestyle Intervention DefinitionMental Disorders Mental Disorders Scoring Measure Quality Dimensions Results
N (Mean, Standard Deviation)
Selection BiasPerformance BiasDetection BiasAttrition BiasReporting Bias
Random Sequence
Generation
Allocation Concealment
Anderson 2015 [66]Australia3-month Breast cancer45–60Women 51Pink Women’s Wellness Program1-Depression
2-Anxiety
Higher scorer indicating more mental problemss 1-Greene
Climacteric Scale
Low UnclearHigh High Low Unclear Depression
Intervention
26 (4.1 ± 2.1)
Control
25 (4.3 ± 3.6)
Anxiety
Intervention
26 (4.9 ± 3.5)
Control
25 (4.5 ± 2.8)
Azami 2018 [67]Iran 3-month
6-month
Type
2 Diabetes
≥1865.5% women 142Nurse-led diabetes self-management1-Depression Higher scorer indicating more mental problemss1-Center for Epidemiologic Studies Depression ScaleLow Low High Low Low Unclear3-month
Intervention
71 (11.98 ± 4.97)
Control
71 (12.84 ± 4.61)
6-month
Intervention
71 (11.95 ± 5.03)
Control
71 (12.91 ± 4.5)
Brennan 2012 [68]Australia6-month Overweight/Obese11–1954% women 63Cognitive Behavioural Lifestyle1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problemss1-Depression anxiety and stress scaleLow UnclearUnclearLow Low UnclearDepression
Intervention
40 (7.9 ± 9.6)
Control
21 (4.2 ± 5.9)
Anxiety
Intervention
40 (7.0 ± 7.4)
Control
21 (6.8 ± 6.0)
Stress
Intervention
40 (9.9 ± 10.2)
Control
21 (7.7 ± 7.3)
Bringmann 2022 [69]Germany1-month
2-month
6-month
Mild to moderate depression49.1 ± 11.1 in intervention
51.0 ± 12.7 in control
77.8% women 54Meditation-Based Lifestyle Modification1-Depression
2-Stress
Higher scorer indicating more mental problemss1-Beck Depression Inventory
2-Perceived Stress Scale-10
Low Low Low Low Low UnclearDepression
1-month
Intervention
27 (16.81 ± 10.65)
Control
27 (20.89 ± 8.14)
2-month
Intervention
27 (13.59 ± 10.63)
Control
27 (21.59 ± 9.67)
6-month
Depression
Intervention
27 (13.68 ± 10.36)
Control
27 (20.80 ± 10.95)
Stress
2-month
Intervention
27 (20.11 ± 5.34)
Control
27 (27.15 ± 4.58)
6-month
Intervention
27 (20.54 ± 5.64)
Control
27 (25.85 ± 6.59)
Brown 2001 [70]USA8-weekMild to moderate depression19–78Women 104Multi-Modal Intervention1-Depression Higher scorer indicating more mental problems1-Center for Epidemiologic Studies Depression ScaleHigh Low UnclearUnclearLow UnclearDepression
Intervention
53 (10.4 ± 7.3)
Control
51 (16.7 ± 10.4)
Casañas 2012 [72]Spain 3-month
6-month
9-month
Major depression≥2089.2% women 231Psycho-educational1-DepressionHigher scorer indicating more mental problems1-Beck Depression Inventory Low Low High High Low Unclear3-month
Intervention
119 (15.42 ± 7.53)
Control
112 (17.54 ± 7.18)
6-month
119 (15.37 ± 8.74)
Control
112 (16.51 ± 7.60)
9-month
119 (15.09 ± 8.62)
Control
112 (16.35 ± 7.84)
Cezaretto 2012 [73]Brazil9-month Type 2
diabetes
18–7967.8% women 177Intensive interdisciplinary
intervention
1-DepressionHigher scorer indicating more mental problems1-Beck Depression Inventory UnclearUnclearUnclearUnclearHigh UnclearIntervention
75 (8.4 ± 7.7)
Control
60 (5.2 ± 5.1)
Chang 2018 [74]Korea3-month Older Adults with major depressive disorder77.8 ± 6.687.1% women 93Multi-Domain Lifestyle Modification1-DepressionHigher scorer indicating more mental problems1-Geriatric
Depression Scale (GDS)-Short Form
Low Low UnclearLow Low UnclearIntervention
47 (7.5 ± 4.1)
Control
46 (10.2 ± 3.6)
Charandabi 2017 [75]Iran 2-month spouses of pregnant women31.9 ± 5.3Men 126Life Style Based Education1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Edinburgh Postnatal Depression Scale
2-Spielberger’s State-Trait Anxiety Inventory
Low Low High Low Low UnclearDepression
Intervention
62 (2.7 ± 3.4)
Control
63 (4.3 ± 3.8)
State anxiety
Intervention
62 (30.1 ± 7.7)
Control
63 (35.8 ± 10.5)
Trait anxiety
Intervention
62 (30.7 ± 7.6)
Control
63 (35.8 ± 9.7)
Chiang 2019 [76]Taiwan3-monthMetabolic Syndrome≥40Women 68Lifestyle
modification combined with motivational counseling
1-DepressionHigher scorer indicating more mental problems1-Beck Depression Inventory Low Low Unclear Low UnclearUnclearIntervention
34 (3.8 ± 1.5)
Control
34 (9.1 ± 6.9)
Clark 2012 [77]USA6-month Older people60–9565.9% women 360Lifestyle intervention (Well Elderly Lifestyle)1-Depression Higher scorer indicating more mental problems1-Center for Epidemiologic Studies Depression ScaleLow UnclearLow Low Low UnclearIntervention
186 (12.47 ± 9.68)
Control
173 (13.53 ± 11.17)
Croker 2012 [78]UK6-month Obese 10.3 ± 1.669.4% women 63family-based behavioral treatment1-DepressionHigher scorer indicating more mental problems1-Children’s Depression InventoryLow High High Low UnclearUnclearIntervention
33 (49.24 ± 6.91)
Control
30 (48.13 ± 6.97)
Desplan 2014 [79]France 1-month obstructive sleep apnea35–70Unknown 22lifestyle intervention1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Hospital
anxiety and depression scale
UnclearHigh UnclearUnclean UncleanUncleanDepression
Intervention
11 (4.7 ± 2.6)
Control
11 (8.3 ± 3.6)
Anxiety
Intervention
11 (7.1 ± 3.7)
Control
11 (10.4 ± 3.8)
Devi 2014 [80]UK6-weekAngina Population66.27 (8.35) in intervention
66.20 (10.06) in control
25.5% women 94Activate Your Heart1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Hospital
anxiety and depression scale
Low Low High High Low UncleanDepression
Intervention
37 (2.00 ± 2.00)
Control
42 (2.00 ± 4.25)
Anxiety
Intervention
36 (4.14 ± 3.50)
Control
39 (4.87 ± 3.73)
Dodd 2016 [81]Australia 28-week
36-week
4-month
overweight or obese29.4 (5.4) for intervention
29.6 (5.4) for control
Women 2142lifestyle intervention1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Edinburgh Postnatal Depression Scale-10
2-Spielberger’s State-Trait Anxiety Inventory
Low Low UnclearUnclearUnclearUnclearDepression
28-week
Intervention
976 (6.28 ± 4.53)
Control
957 (6.12 ± 4.75)
36-week
Intervention
976 (5.83 ± 4.58)
Control
957 (5.63 ± 4.72)
4-month
Intervention
976 (5.34 ± 4.51)
Control
957 (5.02 ± 4.30)
Anxiety
28-week
Intervention
976 (10.56 ± 3.56)
Control
957 (10.48 ± 3.66)
36-week
Intervention
976 (10.64 ± 3.62)
Control
957 (10.41 ± 3.56)
4-month
Intervention
976 (10.18 ± 3.64)
Control
957 (10.14 ± 3.50)
Forsyth 2015 [82]Australia 3-month patients with depression and anxiety18–84Both (%Women is unknown) 63lifestyle intervention1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems1-Depression anxiety and stress scaleHigh High UnclearUnclearHigh Unclear Depression
Intervention
32 (6.0 ± 6.2)
Control
31 (5.9 ± 3.5)
Anxiety
Intervention
32 (3.5 ± 3.3)
Control
31 (3.7 ± 3.5)
Stress
Intervention
32 (6.7 ± 5.1)
Control
31 (8.0 ± 4.8)
Furuya 2015 [83]Brazil 6-month Patients following percutaneous
coronary intervention
≥1843.3% women 60educational programme1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Hospital
anxiety and depression scale
UnclearLow Low Low UnclearUnclearDepression
Intervention
30 (5.1 ± 4.4)
Control
30 (7.6 ± 4.1)
Anxiety
Intervention
30 (5.4 ± 4.8)
Control
30 (4.7 ± 3.5)
Garcia 2023 [84]Spain2-month
6-month
12-month
treatment-resistant depression≥1869.2% women 65lifestyle modification program 1-Depression Higher scorer indicating more mental problems1-Beck Depression Inventory-IILow Low UnclearUnclearLow Unclear2-month
Intervention
34 (17.34 ± 10.8)
Control
31 (24.87 ± 14.2)
6-month
Intervention
34 (16.85 ± 13.3)
Control
31 (23.17 ± 17.3)
12-month
Intervention
34 (19.87 ± 15.9)
Control
31 (23.33 ± 15.3)
Giallo 2014 [85]Australia 2-week
6-week
Postpartum >18Women 98psychoeducational intervention1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems1-Depression anxiety and stress scaleLow UnclearLow UnclearLow Unclear2-week
Depression
Intervention
39 (3.07 ± 4.05)
Control
59 (5.24 ± 7.01)
Anxiety
Intervention
39 (1.80 ± 3.03)
Control
59 (2.86 ± 3.96)
Stress
Intervention
39 (10.00 ± 6.18)
Control
59 (11.87 ± 9.33)
6-week
Depression
Intervention
39 (3.85 ± 4.09)
Control
59 (4.64 ± 5.23)
Anxiety
Intervention
39 (1.95 ± 3.20)
Control
59 (2.34 ± 3.49)
Stress
Intervention
39 (9.95 ± 7.41)
Control
59 (10.88 ± 9.12)
Glasgow 2006 [86]USA2-month Type 2 diabetes61.5 ± 11.350% women 301lifestyle intervention1-Depression Higher scorer indicating more mental problems1-Patient Health
Questionnaire
UnclearUnclearUnclearUnclearLow UnclearIntervention
147 (5.5 ± 5)
Control
152 (5.5 ± 5.3)
Guo 2021 [87]China 3-month
6-month
Gestational Diabetes Mellitus≥18Women 320Intensive Lifestyle Modification1-Stress Higher scorer indicating more mental problems1-perceived stress scaleLow Low High LowLow Unclear3-month
Intervention
160 (24.22 ± 7.93)
Control
160 (24.53 ± 6.72)
6-month
Intervention
160 (24.18 ± 7.33)
Control
160 (24.60 ± 5.47)
Han 2020 [88]Hong Kong15-weekmajor depressive disorder47.06 (9.54) in intervention
45.44 (8.25) in control
Both (%Women is unknown) 33Dejian mind-body intervention1-Depression Higher scorer indicating more mental problems1-Hamilton Psychiatric Rating Scale
for Depression (HRSD)
2-Beck Depression Inventory
Low Low Low Low UnclearUnclearHRSD
Intervention
17 (6.50 ± 4.31)
Control
16 (9.75 ± 4.16))
BDI
Intervention
17 (17.94 ± 12.70)
Control
16 (24.79 ± 14.91))
Heutink 2012 [89]The NetherlandsPost-intervention
3-month
spinal cord injury≥1830.06% women 61Multidisciplinary
cognitive behavioral program
1-Anxiety Higher scorer indicating more mental problems1-Hospital
anxiety and depression scale
Unclear Unclear Unclear Unclear Low Unclear Post-intervention
Intervention
31 (5.6 ± 3.6)
Control
30 (5.7 ± 3.4)
3-month
Intervention
31 (5.9 ± 3.6)
Control
30 (5.6 ± 3.6)
Hilmarsdóttir 2021 [90]Iceland6-month type 2 diabetes mellitus25–7063.3% women 30Sidekick Health smartphone app1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Hospital
anxiety and depression scale
Unclear Low High Low UnclearUnclearDepression
Intervention
15 (3.3 ± 3.0)
Control
15 (4.2 ± 4.6)
Anxiety
Intervention
15 (4.1 ± 3.8)
Control
15 (5.5 ± 4.7)
Holt 2019 [91]UK3-month
12-month
Schizophrenia ≥1849% women 412structured education lifestyle program1-Depression Higher scorer indicating more mental problems1-Patient Health
Questionnaire
Low High High Low UnclearUnclear3-month
Intervention
178 (10.3 ± 6.3)
Control
180 (10.1 ± 7.1)
12-month
Intervention
167 (9.9 ± 7.0)
Control
173 (9.6 ± 6.6)
Hwang 2019 [92]Korea 4-weeknurses employedUnspecified 94.6% women 56Stress-Management Program1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems1-Patient Health
Questionnaire
2-Generalized Anxiety Disorder-7
3-Perceived Stress Scale-10
UnclearUnclearUnclearUnclearUnclearUnclearDepression *
Intervention
26 (6.46 ± 4.99)
Control
30 (6.93 ± 4.98)
Anxiety
Intervention
26 (4.23 ± 4.38)
Control
30 (5.40 ± 4.38)
Stress
Intervention
26 (18.50 ± 3.56)
Control
30 (19.16 ± 3.56)
Ihle-Hansen 2014 [93]Norway 12-month Stroke 72.6 (11.2 in intervention
70.6 (13.6) in control
46.7% women 195multifactorial risk factor intervention program1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Hospital
anxiety and depression scale
UnclearUnclearLow Low Low UnclearDepression
Intervention
98 (2.91 ± 2.63)
Control
97 (3.49 ± 3.02)
Anxiety
Intervention
97 (3.10 ± 2.83)
Control
97 (3.95 ± 3.50)
Imayama 2011 [94]USA12-month overweight/obese
postmenopausal women
50–75Women 204diet and/or exercise interventions1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems1-Brief Symptom Inventory-18
2-Perceived Stress Scale
Low UnclearUnclearLow Low UnclearDepression
Intervention
117 (46.2 ± 8.2)
Control
87 (48.4 ± 9.6)
Anxiety
Intervention
117 (43.5 ± 6.4)
Control
87 (45.3 ± 8.7)
Stress
Intervention
117 (2.66 ± 2.27)
Control
87 (3.89 ± 2.75)
Inouye 2014 [95]USA6-month at risk for diabetes≥30Both %Women is unknown 40Lifestyle Intervention1-Depression Higher scorer indicating more mental problems1- Center for Epidemiologic Studies Depression ScaleUnclearUnclearUnclearUnclearUnclearUnclearIntervention
22 (12.21 ± 10.97)
Control
18 (13.52 ± 11.28)
Ip 2021 [96]China 6-week
12-week
moderate to severe depression≥1883.9% women 31group-based lifestyle medicine1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems1-Patient Health
Questionnaire
2-Depression anxiety and stress scale
Low Low High Low Low Unclear6-week
PHQ-9-depression
Intervention
16 (7.4 ± 2.3)
Control
15 (9.5 ± 3.7)
DASS—Depression
Intervention
16 (7.0 ± 3.7)
Control
15 (12.9 ± 7.8)
Anxiety
Intervention
16 (4.3 ± 2.5)
Control
15 (11.1 ± 8.0)
Stress
Intervention
16 (13.5 ± 7.7)
Control
15 (17.1 ± 9.6)
12-week
PHQ-9-depression
Intervention
16 (7.5 ± 3.6)
Control
15 (10.2 ± 3.8)
DASS—Depression
Intervention
16 (9.5 ± 7.8)
Control
15 (13.3 ± 9.0)
Anxiety
Intervention
16 (6.5 ± 2.8)
Control
15 (10.7 ± 7.3)
Stress
Intervention
16 (11.5 ± 6.9)
Control
15 (16.9 ± 9.6)
Jonsdottir 2015 [99]Iceland6-month obstructive pulmonary
disease
45–6554% women 100self-management programme1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Hospital
anxiety and depression scale
Low UnclearLow UnclearLow UnclearDepression
Intervention
46 (3.28 ± 3.30)
Control
49 (3.92 ± 3.28)
Anxiety
Intervention
48 (6.60 ± 4.26)
Control
52 (7.25 ± 3.61)
Kelly 2020 [100]Australia 12-week
16-week
consumers
of a community mental health service
18–6558% women 43peer delivered healthy lifestyle intervention1-Depression Higher scorer indicating more mental problems1-Patient Health
Questionnaire
Low Low UnclearLow UnclearUnclear12-week
Intervention
13 (11.62 ± 6.55)
Control
14 (12.79 ± 7.54)
16-week
Intervention
16 (10.50 ± 6.13)
Control
16 (11.94 ± 6.12)
Kieffer 2013 [101]USAUnknown Pregnant ≥18Women 275Healthy Lifestyle Intervention1-Depression Higher scorer indicating more mental problems1-Center for Epidemiologic Studies Depression ScaleLow Low UnclearLow Low UnclearIntervention
138 (11.24 ± 7.98)
Control
137 (12.71 ± 7.84)
Kim 2011 [102]Korea12-weekBreast Cancer26–69Women 45Matched Exercise and Diet1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Hospital
anxiety and depression scale
UnclearUnclearUnclearUnclearLow UnclearDepression
Intervention
23 (3.32 ± 2.58)
Control
22 (5.85 ± 3.65)
Anxiety
Intervention
23 (3.97 ± 2.30)
Control
22 (5.46 ± 2.76)
Koch 2021 [103]Germany12-week
24-week
48-week
Ulcerative
Colitis
18–74Unknown 97Lifestyle Modification1-Depression
2-Anxiety
2-Stress
Higher scorer indicating more mental problems1-Hospital
anxiety and depression scale
1-perceived stress scale
Low UnclearUnclearUnclearLow UnclearDepression
12-week
Intervention
47 (4.74 ± 3.39)
Control
50 (5.81 ± 3.91)
24-week
Intervention
47 (5.57 ± 3.52)
Control
50 (6.18 ± 3.59)
48-week
Intervention
47 (4.45 ± 3.46)
Control
50 (4.74 ± 3.36)
Anxiety
12-week
Intervention
47 (6.67 ± 3.84)
Control
50 (7.45 ± 3.55)
24-week
Intervention
47 (7.61 ± 4.26)
Control
50 (7.55 ± 3.48)
48-week
Intervention
47 (6.46 ± 3.98)
Control
50 (6.55 ± 3.20)
Stress
12-week
Intervention
47 (14.00 ± 6.38)
Control
50 (18.59 ± 6.89)
24-week
Intervention
47 (15.76 ± 6.44)
Control
50 (18.47 ± 6.29)
48-week
Intervention
47 (13.75 ± 7.20)
Control
50 (16.05 ± 6.80)
Kwon 2015 [105]Korea4-weekCommunity Dwelling≥6559.5% women 93Wheel of Wellness counseling intervention1-DepressionHigher scorer indicating more mental problems1-Patient Health
Questionnaire
Low Low High Unclear UnclearUnclearIntervention
43 (4.51 ± 4.59)
Control
46 (5.02 ± 5.47)
Lee 2015 [106]Korea 6-month obstructive pulmonary
disease
40–808.6% women 151nurse-led problem-solving therapy1-Depression Higher scorer indicating more mental problems1- Center for Epidemiologic Studies Depression ScaleUnclear UnclearUnclear Unclear High UnclearIntervention
78 (15.9 ± 8.0)
Control
73 (17.2 ± 8.0)
Leemrijse 2016 [107]the Netherlands6-month patients
with recent coronary event
18–8019% women 374Hartcoach1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Hospital
anxiety and depression scale
Low UnclearLowUnclearLow UnclearDepression
Intervention
145 (3.31 ± 3.71)
Control
167 (3.83 ± 3.64)
Anxiety
Intervention
145 (3.95 ± 3.59)
Control
167 (4.88 ± 4.00)
Lund 2012 [108]Norway9-month stroke survivors75 (7.2 in intervention
79 (6.5) in control
51.2% women 204lifestyle course1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Hospital
anxiety and depression scale
Low Low UnclearLow UnclearUnclearDepression
Intervention
39 (3.4 ± 2.7)
Control
47 (4.2 ± 3.4)
Anxiety
Intervention
39 (3.1 ± 3.4)
Control
47 (4.4 ± 4.0)
María Nápoles 2020 [109]USA3-month
6-month
breast cancer survivors28–88Women 153stress
management intervention
1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems1-Patient Health
Questionnaire
2-Brief Symptom Inventory scales
3-Perceived Stress Scale
Low Low UnclearLow Low UnclearDepression
3-month
Intervention
76 (6.81 ± 5.31)
Control
77 (6.97 ± 5.12)
6-month
Intervention
76 (6.96 ± 5.62)
Control
77 (6.44 ± 5.15)
Anxiety
3-month
Intervention
76 (0.63 ± 0.61)
Control
77 (0.65 ± 0.70)
6-month
Intervention
76 (0.52 ± 0.53)
Control
77 (0.70 ± 0.64)
Stress
3-month
Intervention
76 (14.45 ± 6.63)
Control
77 (14.08 ± 7.35)
6-month
Intervention
76 (14.70 ± 6.14)
Control
77 (15.14 ± 6.28)
Martín 2014 [110]Spain 6-month Fibromyalgia50.12 ± 9.0793.5% women 110Interdisciplinary PSYMEPHY
Treatment
1-Anxiety Higher scorer indicating more mental problems1-Fibromyalgia Impact QuestionnaireLow UnclearUnclearUnclearUnclearUnclearIntervention
54 (13.41 ± 4.31)
Control
56 (12.75 ± 4.55)
Mayer-Davis 2018 [111]USA18-monthType 1 diabetes13–1638.8% women 99Flexible Lifestyles for Youth1-Depression Higher scorer indicating more mental problems1- Center for Epidemiologic Studies Depression ScaleLow Low UnclearHigh Low UnclearIntervention
118 (6∙63 ± 7∙12)
Control
123 (8∙46 ± 7∙08)
Mensorio 2019 [112]Spain3-monthObesity and hypertension18–65Unknown 106Living Better1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems1-Depression anxiety and stress scaleLow Unclean UnclearUnclearLow UnclearDepression
Intervention
43 (2.88 ± 3.6)
Control
48 (2.79 ± 3.5)
Anxiety
Intervention
43 (1.73 ± 2.6)
Control
48 (3.04 ± 3.4)
Stress
Intervention
43 (3.40 ± 2.9)
Control
48 (5.20 ± 4.1)
Michalsen 2005 [113]Germany 12-month Coronary
Artery Disease
59.4 ± 8 8.622.8% Women 101lifestyle modification program1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems1-Beck
Depression Inventory
2-Spielberger
State-Trait Anger Expression Inventory
3-Cohen Perceived Stress Scale
Low Low UnclearUnclearLow UnclearDepression
Intervention
48 (6.4 ± 4.2)
Control
53 (7.6 ± 4.7)
State anxiety
Intervention
48 (36.5 ± 8.8)
Control
53 (36.2 ± 7.6)
Trait anxiety
Intervention
48 (35.7 ± 8.3)
Control
53 (37.5 ± 10.0)
Stress
Intervention
48 (19.1 ± 7.6)
Control
53 (21.7 ± 7.7)
Moncrieft 2016 [144]USA6-month
12-month
Type 2 Diabetes18–7071.2% women 111Lifestyle Modification1-Depression Higher scorer indicating more mental problems1-Beck Depression Inventory-IILow Low Unclean Low Low Unclear6-month
Intervention
42 (10.75 ± 7.76)
Control
48 (16.09 ± 9.15)
12-month
Intervention
41 (9.85 ± 8.86)
Control
46 (16.00 ± 10.80)
Moore 2011 [158]Australia6-month At risk of type 2 diabetes61.3 ± 11.159% women 307group-based
lifestyle intervention
1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Depression anxiety and stress scaleHigh UncleanUncleanUncleanUncleanUncleanDepression
Intervention
167 (5.32 ± 7.03)
Control
85 (4.87 ± 6.78)
Anxiety
Intervention
167 (4.57 ± 5.84)
Control
85 (3.56 ± 4.31)
Morales-Fernández 2021 [159]Spain 3-month
6-month
9-month
non-malignant pain45–61 percentile67.7% women 279nurse-led intervention1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Patient Health
Questionnaire
2-Generalized Anxiety Disorder Scale
Low Low High Low Low UnclearDepression
3-month
Intervention
174 (10.06 ± 5)
Control
105 (11.31 ± 6.19)
6-month
Intervention
174 (10.16 ± 5.11)
Control
105 (11.61 ± 5.81)
9-month
Intervention
174 (10.43 ± 5.29)
Control
105 (12.66 ± 5.99)
Anxiety
3-month
Intervention
174 (8.43 ± 4.76)
Control
105 (9.1 ± 5.31)
6-month
Intervention
174 (7.72 ± 4.73)
Control
105 (8.95 ± 4.92)
9-month
Intervention
174 (7.51 ± 4.77)
Control
105 (9.16 ± 4.7)
Moseley 2009 [115]Australia Post-Program
6-week
Adolescent15.6 ± 0.666.7% women 81School-Based Intervention1-Depression Higher scorer indicating more mental problems1-Depression anxiety and stress scaleUnclearUnclearUnclearUnclearUnclearUnclearPost-Program
Intervention
21 (10.0 ± 7.7)
Control
12 (14.2 ± 11.8))
6-week
Intervention
17 (12.9 ± 7.3)
Control
13 (13.9 ± 10.7)
Mountain 2017 [116]UK6-month
24-month
older
adults
≥6568.05% women 262occupation-based lifestyle intervention1-DepressionHigher scorer indicating more mental problems1-Patient Health
Questionnaire
Low Low High Low Low Unclear6-month
Intervention
133 (3.8 ± 4.2)
Control
122 (3.4 ± 4.3)
24-month
Intervention
122 (3.8 ± 4.6)
Control
114 (4.0 ± 4.8)
Murawski 2019 [117]Australia3-month
6-month
Adults with insufficient physical activity/poor sleep quality18−5580% women 160physical activity and sleep quality1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems1-Depression anxiety and stress scaleLow Low UnclearUnclearLow UnclearDepression
3-month
Intervention
59 (10.6 ± 7.62)
Control
65 (12.6 ± 7.97)
6-month
Intervention
34 (10.9 ± 8.01)
Control
53 (13.3 ± 9.49)
Anxiety
3-month
Intervention
59 (6.4 ± 3.65)
Control
65 (7.5 ± 5.04)
6-month
Intervention
34 (5.9 ± 3.54)
Control
53 (8.9 ± 4.70)
Stress
3-month
Intervention
59 (13.6 ± 4.20)
Control
65 (15.4 ± 4.97)
6-month
Intervention
34 (13.0 ± 5.75)
Control
53 (16.3 ± 5.24)
Nie 2019 [118]China3-month
6-month
9-month
12-month
coronary artery disease18–8027.5% women 284lifestyle improving program1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Hospital
anxiety and depression scale
Low Low High Low Low UnclearDepression
3-month
Intervention
142 (9.85 ± 2.48)
Control
142 (9.71 ± 2.94)
6-month
Intervention
142 (9.44 ± 2.84)
Control
142 (9.48 ± 3.06)
9-month
Intervention
142 (8.57 ± 2.81)
Control
142 (9.13 ± 3.22)
12-month
Intervention
142 (8.21 ± 3.03)
Control
142 (9.08 ± 3.30)
Anxiety
3-month
Intervention
142 (9.37 ± 2.74)
Control
142 (9.63 ± 2.38)
6-month
Intervention
142 (8.82 ± 2.51)
Control
142 (9.21 ± 2.52)
9-month
Intervention
142 (8.26 ± 2.24)
Control
142 (8.93 ± 2.36)
12-month
Intervention
142 (7.80 ± 2.38)
Control
142 (8.88 ± 2.37)
O’Neill 2015 [119]UK6-monthprostate cancer69.7 ± 6.8 in intervention
69.9 ± 7.0 in control
Men 94diet and physical activity1-StressHigher scorer indicating more mental problems1-Perceived Stress ScaleLow Low Unclean High Low UnclearIntervention
47 (10.5 ± 6.9)
Control
47 (11.2 ± 10.2)
O’Reilly 2016 [120]Australia 12-month Gestational Diabetes≥18Women 573group-based lifestyle modification1-Depression
Higher scorer indicating more mental problems1-Patient Health
Questionnaire
LowUnclear Unclear Unclear LowUnclearIntervention
284 (4.41 ± 4.38)
Control
289 (4.39 ± 4.25)
Phelan 2014 [121]USA6-month
12-month
pregnancy>18Women 401behavioral intervention1-Depression
2-Stress
Higher scorer indicating more mental problems1-Edinburgh Postnatal Depression Scale
2-Perceived Stress Scale
Low Unclear LowLow Low UnclearDepression
6-month
Intervention
128 (5.1 ± 4.2)
Control
133 (4.4 ± 3.6)
12-month
Intervention
128 (5.6 ± 4.2)
Control
133 (4.9 ± 4.1)
Stress
6-month
Intervention
128 (8.3 ± 3.0)
Control
133 (7.8 ± 2.9)
12-month
Intervention
128 (8.4 ± 2.8)
Control
133 (8.1 ± 2.9)
Psarraki 2021 [122]GreeceUnknown major depressive disorder18–6583.9% women69Pythagorean Self-Awareness1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems1-Depression anxiety and stress scale
2-Beck Depression Inventory
Low UnclearHigh High Unclear Unclear Depression
Intervention
30 (13.31 ± 9.71)
Control
32 (18.41 ± 12.66)
Anxiety
Intervention
30 (14.77 ± 11.07)
Control
32 (15.19 ± 12.59)
Stress
Intervention
30 (14.89 ± 9.69)
Control
32 (19.40 ± 10.08)
BDI
Intervention
30 (14.70 ± 9.77)
Control
32 (22.28 ± 13.45)
Sacco 2009 [123]USA6-monthtype 2 diabetes18–65Both %Women is unknown 62regular telephone intervention1-DepressionHigher scorer indicating more mental problems1-Patient Health
Questionnaire
High Unclear Unclear Unclean Low Unclear Intervention
31 (14.74 ± 5.96)
Control
31 (16.87 ± 7.39)
Sanaati 2017 [124]Iran 8-weekPregnancy 27.5 (4.9) in intervention
27.7 (4.9) in control
Women125lifestyle-based education1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Edinburgh Postnatal Depression Scale
2-Spielberger State-Trait Anxiety Inventory
Low Low High Low Low Unclear Depression
Intervention
62 (4.6 ± 3.5)
Control
63 (7.5 ± 3.7)
State anxiety
Intervention
62 (34.4 ± 6.4)
Control
63 (39.1 ± 9.2)
Trait anxiety
Intervention
62 (33.4 ± 7.1)
Control
63 (39.0 ± 8.3)
Saxton 2014 [125]UK6-month breast cancer55.8 (10.0) in intervention
55.3 (8.8) in control
Women 85pragmatic lifestyle intervention1-Depression
2-Stress
Higher scorer indicating more mental problems1-Beck Depression Inventory
2-Perceived Stress Scale
Low Low UnclearLow LowUnclear Depression
Intervention
44 (5.1 ± 4.9)
Control
41 (7.9 ± 6.0)
Stress
Intervention
44 (18.2 ± 7.7)
Control
41 (19.5 ± 6.8)
Sebregts 2005 [126]the NetherlandsPost-intervention
9-month
acute myocardial infarction or coronary artery bypass grafting55.6 [8.0 in intervention
55.2 [9.7] in control
Both %Women is unknown 184hort behavior modification program1-Depression Higher scorer indicating more mental problems1-Beck Depression InventoryUnclean Low LowUnclearLowUnclear Post-intervention
Intervention
83 (7.7 ± 6.0)
Control
75 (5.8 ± 4.9)
9-month
Intervention
83 (6.9 ± 4.8)
Control
75 (5.8 ± 5.1)
Serrano Ripoll 2015 [127]Spain 6-month
12-month
Primary
Care patients
IQR 40–6182%women 273Lifestyle change recommendations1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Beck Depression Inventory
2-Spielberger State-Trait Anxiety Inventory
UnclearLow Low Low LowUnclear Depression
6-month
Intervention
106 (18.2 ± 9.98)
Control
120 (16.6 ± 12.57)
12-month
Intervention
95 (17.3 ± 9.44)
Control
99 (16.1 ± 11.42)
Anxiety
6-month
Intervention
106 (70.9 ± 25.47)
Control
120 (62.3 ± 27.10)
12-month
Intervention
95 (67.8 ± 20.88)
Control
99 (61.0 ± 29.95)
Sheean 2021 [128]USA12-weekmetastatic breast cancer≥18Women 35lifestyle intervention1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems1-Hospital
anxiety and depression scale
2-Perceived Stress Scale
Low Low Unclear Low UnclearUnclearDepression
Intervention
17 (3.2 ± 3.1)
Control
18 (3.4 ± 3.6)
Anxiety
Intervention
17 (5.8 ± 3.9)
Control
18 (4.6 ± 5.1)
Stress
Intervention
17 (14.0 ± 6.2)
Control
18 (12.3 ± 9.4)
Sorensen 1999 [129]NorwayUnknown elevated
risk factors for cardiovascular disease
41–50Both %Women is unknown 219exercise and diet1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-General Health Questionnaire
2- Symptom
Check List-90 (SCL-90)
Unclear Unclear Unclear Unclear Unclear Unclear Depression
Intervention
67 (2.0 ± 1.7)
Control
43 (2.7 ± 2.9)
Anxiety
Intervention
67 (4.8 ± 5.2)
Control
43 (7.5 ± 6.8)
Speyer 2016 [130]DenmarkUnknown Schizophreni/abdominal obesity38.6 ± 12.456.1 women 428lifestyle coaching1-Stress Higher scorer indicating more mental problems2-Perceived Stress ScaleLow Low Low Low Low UnclearIntervention
138 (26.8 ± 7.8)
Control
148 (25.5 ± 7.4)
Sylvia 2019 [131]USA20-weekbipolar disorder18–6565.8% women 38Nutrition exercise
wellness treatment
1-DepressionHigher scorer indicating more mental problems1-Montgomery Asberg Depression
Rating Scale
2-Clinical Global Impression Scale
Unclear Unclear Unclear Low Low Unclear CGI
Intervention
19 (2.3 ± 0.9)
Control
19 (2.4 ± 1.0)
MADRS
Intervention
19 (8.1 ± 6.7)
Control
19 (9.6 ± 8.2)
Takeda 2020 [132] Japan7-month Elderly 77.03 (8.08 in intervention
75.51 (6.55) in control
88.2% women 127lifestyle development program1-Depression Higher scorer indicating more mental problems1–15-item Geriatric
Depression Scale
Unclear Unclear Unclear Unclear Unclear Unclear Intervention
60 (4.20 ± 2.93)
Control
67 (4.64 ± 3.61)
Toobert 2007 [133]USA6-month
12-month
24-month
type 2
diabetes
61.1 (8.0) in intervention
60.7 (7.8) in control
Women 279Mediterranean lifestyle program1-Depression
2-Stress
Higher scorer indicating more mental problems1-Center for Epidemiologic Studies Depression Scale
2-Perceived Stress Scale
Unclear Unclear Unclear Unclear Low UnclearDepression
6-month
Intervention
163 (13 ± 11)
Control
116 (15 ± 12)
12-month
Intervention
163 (15 ± 11)
Control
116 (14 ± 9)
24-month
Intervention
163 (12 ± 11)
Control
116 (14 ± 10)
Stress
6-month
Intervention
163 (2.5 ± 0.62)
Control
116 (2.6 ± 0.59)
12-month
Intervention
163 (2.6 ± 0.66)
Control
116 (2.6 ± 0.58)
24-month
Intervention
163 (2.4 ± 0.64)
Control
116 (2.6 ± 0.61)
Tousman 2011 [134]USA2-month Asthma51.4 (14.7) in intervention
55.0 (10.0)
68.9% women 45behavior modification procedure1-Depression Higher scorer indicating more mental problems1-Geriatric Depression ScaleUnclear Unclear Unclear Unclear Unclear Unclear Intervention
21 (1.8 ± 2.1)
Control
24 (1.9 ± 2.1)
Trento 2020 [135]Italy 4-year type 2
diabetes
62.6 ± 7.5 in intervention ± 9.1 in control 36% women 50Self-management education1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Hospital
anxiety and depression scale
Unclean Low High High Low UnclearDepression
Intervention
24 (4.5 ± 3.86)
Control
25 (3.44 ± 2.95)
Anxiety
Intervention
24 (4.83 ± 3.25)
Control
25 (5.28 ± 3.45)
Tsai 2021 [136]Taiwan2-weekat-risk mental state20–3555.4% women 92Health-Awareness-Strengthening Lifestyle1-Anxiety Higher scorer indicating more mental problems1-State and Trait Anxiety InventoryLow UnclearUnclearUnclearLow UnclearState Anxiety
Intervention
46 (42.5 ± 7.7)
Control
46 (47.7 ± 9.5)
Trait Anxiety
Intervention
46 (52.0 ± 7.0)
Control
46 (56.0 ± 7.0)
Ural 2021 [137]Turkey6-week gestational diabetes mellitus≥18Women 88health-promoting lifestyle education1-Depression Higher scorer indicating more mental problems1-Center for Epidemiologic Studies Depression ScaleHigh High UnclearUnclearUnclearUnclearIntervention
46 (14.93 ± 9.39)
Control
42 (15.74 ± 8.54)
Van Dammen 2019 [138]the Netherlands5-yearObesity and
infertility
18–39Women 577lifestyle intervention1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems1-Hospital
anxiety and depression scale
2-Perceived Stress Scale-10
UnclearUnclearUnclearUnclearUnclearUnclearDepression
Intervention
84 (7.7 ± 3.66)
Control
94 (7.7 ± 2.90)
Anxiety
Intervention
84 (8.0 ± 3.66)
Control
94 (8.2 ± 2.90)
Stress
Intervention
52 (14.4 ± 6.48)
Control
63 (13.7 ± 4.76)
van der Wulp 2012 [139]the Netherlands3-month
6-month
type 2
diabetes
Unknown45.4% women 119peer-led self-management1-Depression Higher scorer indicating more mental problems1-Center for Epidemiologic Studies Depression ScaleUnclearUnclearUnclearUnclearLow Unclear3-month
Intervention
59 (10.60 ± 8.03)
Control
60 (11.20 ± 8.52)
6-month
Intervention
59 (8.64 ± 8.56)
Control
60 (12.07 ± 9.55)
Wang 2014 [140]USA4-month
12-month
type 2 diabetes≥1876.6 women 252Diabetes Self-Management1-Depression Higher scorer indicating more mental problems1-Center for Epidemiologic Studies Depression ScaleLow Low UnclearLow UnclearUnclear4-month
Intervention
117 (17.5 ± 13.0)
Control
112 (21.8 ± 12.4)
12-month
Intervention
109 (18.5 ± 13.0)
Control
107 (22.6 ± 13.4)
Wang 2017 [141]China1-month
3-month
Metabolic syndrome24–7850.9% women 173lifestyle intervention program1-Depression Higher scorer indicating more mental problems1-Hospital
anxiety and depression scale
Low Low UnclearLow Low Unclear1-month
Intervention
86 (3.23 ± 2.71)
Control
87 (3.94 ± 3.49)
3-month
Intervention
86 (2.13 ± 2.06)
Control
87 (3.43 ± 2.96)
Williams 2018 [142]Australia26-week Low Back Pain56.7 ± 13.459.1% women 159Healthy Lifestyle Intervention1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems1-Depression anxiety and stress scaleLow Low Unclear Low Low Low Depression
Intervention
43 (13.1 ± 11.2)
Control
61 (11.9 ± 11.1)
Anxiety
Intervention
43 (9.8 ± 8.3)
Control
61 (9.4 ± 9.0)
Stress
Intervention
43 (14.3 ± 10.7)
Control
61 (13.8 ± 11.1)
Wong 2021 [143]China 9-weekmoderate level of depressive symptoms32.9 ± 12.584.8% women 79Lifestyle Medicine1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Patient Health
Questionnaire
2-General Anxiety Disorder
Low UnclearHigh Unclean UnclearUnclearDepression
Intervention
39 (8.8 ± 3.8)
Control
40 (11.6 ± 4.7)
Anxiety
Intervention
39 (7.8 ± 3.2)
Control
40 (11.5 ± 4.6)
Sample size and p value
Advocat 2016 [65]Australia6-month Parkinson’s disease18–7557.9% women 48Mindfulness-based lifestyle1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems1-Depression anxiety and stress scaleLow Low Low Low High Unclear Depression
Intervention
23
Control
25
p = 0.54
Anxiety
Intervention
23
Control
25
p = 0.38
Stress
Intervention
23
Control
25
p = 0.04
Brown 2006 [71]UK6-weekSerious mental illness18–6585.7% women 17health promotion sessions1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Hospital
anxiety and depression scale
UnclearLow UnclearLow Low Unclear Depression
Intervention
7
Control
10
p = 0.080
Anxiety
Intervention
7
Control
10
p = 0.190
Gallagher 2014 [144]Australia16-weekoverweight with
heart disease and diabetes
63.2 ± 8.6940% women 147Group-based lifestyle intervention1-Depression
Higher scorer indicating more mental problems1-Hospital
anxiety and depression scale
LowUnclearUnclearUnclearLowUnclear Intervention
75
Control
58
p = 0.014
Gaudel 2021 [145]Nepal1-month coronary artery disease>1824.1% women 224lifestyle-related risk factor modification intervention1-Stress Higher scorer indicating more mental problems1-Perceived Stress Scale-10Low Unclear High UnclearUnclearUnclear Intervention
98
Control
98
p = 0.000
Goracci 2016 [146]Italy 12-month Recurrent depression>1880% women 160lifestyle intervention1-Depression Higher scorer indicating more mental problems1-Patient Health
Questionnaire
Unclear Unclear Unclear Unclear Low Unclear Intervention
81
Control
79
p = 0.29
Islam 2013 [97]USA6-month at
risk for diabetes
18–7564.3% women 35Healthy Lifestyles1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Patient Health
Questionnaire
2-Generalized Anxiety Disorder Scale
Unclear Unclear Unclear Unclear Unclear Unclear Depression
Intervention
21
Control
14
p = 0.43
Anxiety
Intervention
21
Control
14
p = 0.15
Jiskoot 2020 [147]The Netherlands12-month Polycystic Ovary Syndrome18–38Women 120lifestyle intervention1-Depression Higher scorer indicating more mental problems1-Beck Depression Inventory-IILow UnclearUnclearUnclearLow UnclearIntervention
60
Control
60
p = 0.045
Jørstad 2016 [99]the
Netherlands
12-month Acute
coronary syndrome
18–8022.5% women 120nurse-coordinated prevention
programme
1-Depression Higher scorer indicating more mental problems1-Beck Depression Inventory-IILow UnclearUnclearUnclearUnclearUnclear Intervention
54
Control
66
p = 0.03
Kokka 2019 [104]Greece8-week Intimate Partner
Violence
18–70Women60stress
management program
1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems1-Depression anxiety and stress scaleLow Unclean High High Low LowDepression
Intervention
30
Control
30
p = 0.000
Anxiety
Intervention
30
Control
30
p = 0.000
Stress
Intervention
30
Control
30
p = 0.000
Lorig 2009 [148]USA6-month type 2 diabetes24–93Both %Women is unknown294Peer-Led Diabetes Self-management1-Depression Higher scorer indicating more mental problems1-Patient Health
Questionnaire
Low Unclean High Unclean Low Unclear Intervention
161
Control
133
p = 0.000
Lovell 2014 [149]UK6-month
12-month
psychosis16–3540% women 105Healthy Living
Intervention
1-Depression Higher scorer indicating more mental problems1-Calgary Depression Scale.Low UncleanHigh Low Low Unclear 6-month
Intervention
46
Control
39
p = 0.98
12-month
Intervention
48
Control
42
p = 0.65
Mitchell 2014 [160]UK6-month chronic obstructive pulmonary
disease
69 ± 8.0 in intervention
69 ± 10.1 in control
45.1% women 184self-management programme1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Hospital
anxiety and depression scale
Low Low High Low Low Unclear Depression
Intervention
89
Control
95
p = 0.27
Anxiety
Intervention
89
Control
95
p = 0.04
Pelekasis 2016 [150]Greece8-weekBreast
Cancer
18–75Women61stress management1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems1-Depression anxiety and stress scaleLow Unclear Unclear Unclear Low Unclear Depression
Intervention
25
Control
28
p = 0.01
Anxiety
Intervention
25
Control
28
p = 0.005
Stress
Intervention
25
Control
28
p = 0.002
Przybylko 2021 [151]Australia and New Zealand12-week
24-week
General population 46.97 ± 14.569.9% women 320Online
interdisciplinary intervention
1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems1-Depression anxiety and stress scaleLow Unclean High High Low Unclear Depression
12-week
Intervention
159
Control
162
p = 0.002
24-week
Intervention
159
Control
162
p = 0.005
Anxiety
12-week
Intervention
159
Control
162
p = 0.000
24-week
Intervention
159
Control
162
p = 0.035
Stress
12-week
Intervention
159
Control
162
p = 0.001
24-week
Intervention
159
Control
162
p = 0.000
Rosal 2005 [152]USA3-month
6-month
type 2 diabetes45–8280% women 25Diabetes Self-Management1-Depression Higher scorer indicating more mental problems1- Center for Epidemiologic Studies Depression ScaleUnclear Unclear Unclear Unclear Unclear Unclear 3-month
Intervention
15
Control
10
p < 0.05
6-month
Intervention
15
Control
10
p = 0.01
Ruusunen 2012 [153]FinlandUnknown overweight or obese/glucose tolerance40–6457.9% women 140lifestyle intervention1-Depression Higher scorer indicating more mental problems1-Beck Depression InventoryUnclear Unclear Unclear Unclear Unclear Unclear Intervention
69
Control
71
p = 0.965
Samuel-hodge 2017 [154]USA20-weekoverweight or
obesity and type 2 diabetes
21–7581% women 108Lifestyle Support1-DepressionHigher scorer indicating more mental problems1-Patient Health
Questionnaire
Unclear Unclear High Low UnclearUnclear Intervention
34
Control
16
p = 0.01
Skrinar 2005 [155]USA12-week Serious Psychiatric
Disabilities
18–55Unknown 20healthy lifestyle1-Depression
2-Anxiety
Higher scorer indicating more mental problemsSymptom
Check List-90 (SCL-90)
Unclear Unclear Unclear Unclear Unclear Unclear Depression
Intervention
9
Control
11
p = 0.09
Anxiety
Intervention
9
Control
11
p = 0.59
Surkan 2012 [156]USAUnknown Postpartum18–44Women 403Health Promotion Intervention1-Depression Higher scorer indicating more mental problems1- Center for Epidemiologic Studies Depression ScaleUnclear Unclear Unclear Unclear LowUnclear Intervention
203
Control
200
p = 0.046
Ye 2016 [157]China2-month
6-month
12-month
Breast cancer UnknownWomen 204mentor-based program1-Depression
2-Anxiety
Higher scorer indicating more mental problems1-Hospital
anxiety and depression scale
Unclear Unclear Unclear Unclear Unclear Unclear Depression
2-month
Intervention
99
Control
101
p = 0.0019
6-month
Intervention
95
Control
92
p = 0.000
12-month
Intervention
90
Control
81
p = 0.000
Anxiety
2-month
Intervention
100
Control
102
p = 0.0485
6-month
Intervention
96
Control
91
p = 0.000
12-month
Intervention
91
Control
79
p = 0.000
* calculated by author(s).

3.2. Quality Assessment of Studies

A qualitative evaluation of the eligible studies was conducted, based on the results of the qualitative evaluation listed in Table 1.

3.3. Lifestyle Intervention and Depression

A meta-analysis of 89 randomized clinical trials of lifestyle interventions on depression indicated that lifestyle interventions lead to a reduction in depression, according to which Hedges’s g was equal to −0.21 with 95% confidence interval −0.26, −0.15 (Z = −7.12; p < 0.001; I2 = 56.57) (not shown in the figure).

3.4. Sub-Group Analysis for Lifestyle Intervention and Depression

Table 2 shows the results of the meta-analysis of lifestyle interventions for depression across different populations. In the cancer population, lifestyle interventions led to a reduction in depression (Hedges’s g = −0.34; 95% CI −0.59, −0.08 [Z = −2.54; p = 0.011; I2 = 56.23%]). In the depressed population, lifestyle interventions led to a reduction in depression [Hedges’ g = −0.44; 95% CI −0.62, −0.26; Z = −4.82; p < 0.001; I2 = 40.46%). In the diabetes/at-risk diabetes population, lifestyle interventions led to a reduction in depression [Hedges’ g = −0.15; 95% CI −0.27, −0.03 (Z = −2.43; p = 0.015; I2 = 56.51%). In the heart-related disease population, lifestyle interventions led to a reduction in depression (Hedges’s g = −0.19; 95% CI −0.34, −0.04 [Z = −2.44; p = 0.015; I2 = 39.52%]). In the metabolic syndrome population, lifestyle interventions led to a reduction in depression [Hedges’ g = −0.74; 95% CI −1.27, −0.21 (Z = −2.44; p = 0.006; I2 = 69.66%). In obstructive pulmonary disease, older adults, and the overweight/obese population, lifestyle interventions did not affect depression significantly.
Figure 2 shows the meta-analysis of lifestyle interventions on depression in women. In this case, lifestyle interventions led to a reduction in depression (Hedges’s g = −0.27; 95% CI −0.39, −0.14; Z = −4.17; p < 0.001; I2 = 75.25%). Owing to the insufficient number of studies, a similar meta-analysis for the male population could not be procured.
Table 3 shows the meta-analysis of lifestyle interventions on depression based on depression scales. Lifestyle interventions on depression in the Beck Depression Inventory (BDI) indicated a reduction in depression post-intervention [Hedges’ g = −0.26; 95% CI −0.45, −0.07; Z = −2.62; p = 0.009; I2 = 73.07%). Lifestyle interventions on depression in the Center for Epidemiologic Studies Depression Scale (CES-D) showed that lifestyle interventions led to a reduction in depression [Hedges’ g = −0.23; 95% CI −0.32, −0.14 (Z = −4.97; p < 0.001; I2 = 49.69%). Lifestyle interventions on depression in the Hospital Anxiety and Depression Scale (HADS) showed that lifestyle interventions led to a reduction in depression [Hedges’ g = −0.25; 95% CI −0.35, −0.14; Z = −4.62; p < 0.001; I2 = 30.95%). Lifestyle interventions on depression in the Patient Health Questionnaire (PHQ) showed that lifestyle interventions led to a reduction in depression [Hedges’s g = −0.16; 95% CI −0.28, −0.05 (Z = −2.76; p = 0.006; I2 = 49.46%).

3.5. Lifestyle Intervention and Anxiety

A meta-analysis of 47 randomized clinical trials of lifestyle interventions on anxiety showed that lifestyle interventions led to a reduction in anxiety, according to which Hedges’s g was equal to −0.24 with a 95% confidence interval of −0.32, −0.15 (Z = −5.54; p < 0.001; I2 = 59.25) (Figure 3).

3.6. Sub-Group Analysis Lifestyle Intervention and Anxiety

Figure 4 shows the meta-analysis of lifestyle interventions for anxiety based on different populations. Lifestyle interventions on anxiety in the cancer population showed that they led to a reduction in anxiety (Hedges’s g = −0.32; 95% CI −0.58, −0.06; Z = −2.42; p = 0.015; I2 = 47.10%). Lifestyle interventions for anxiety in the heart-related disease population showed that lifestyle interventions led to a reduction in anxiety [Hedges’s g = −0.26; 95% CI −0.43, −0.10; Z = −3.17; p = 0.002; I2 = 30.52%]. Lifestyle interventions on anxiety in other mental disorder populations showed that they led to a reduction in anxiety (Hedges’s g = −0.35; 95% CI −0.64, −0.07; Z = −2.46; p = 0.014; I2 = 0%). Lifestyle interventions on anxiety in the stroke population reduced anxiety (Hedges’s g = −0.29; 95% CI −0.52, −0.06; Z = −2.42; p = 0.015; I2 = 0%). Lifestyle interventions for anxiety in depressed, diabetic, overweight/obese, and obstructive pulmonary disease populations showed that their effects on anxiety were not significant.
Figure 5 shows the meta-analysis of lifestyle interventions for anxiety among women. Lifestyle interventions for anxiety in women led to reduced anxiety (Hedges’ g = −0.29; 95% CI −0.47, −0.10; Z = −3.04; p = 0.002; I2 = 72.86%). Owing to the insufficient number of studies, a similar meta-analysis for the male population could not be accomplished.
Figure 6 shows a meta-analysis of lifestyle interventions for anxiety based on anxiety scales. Lifestyle interventions on anxiety in the Brief Symptom Inventory (BSI) showed that lifestyle interventions led to a reduction in anxiety (Hedges’s g = −0.27; 95% CI −0.48, −0.06; Z = −2.52; p = 0.012; I2 = 0%). Lifestyle interventions for anxiety in the DASS showed a reduction in anxiety [Hedges’ g = −0.23; 95% CI −0.42, −0.05 (Z = −2.46; p = 0.014; I2 = 59.86%). Lifestyle interventions on anxiety in Generalized anxiety disorder (GAD) showed a reduction in anxiety (Hedges’s g = −0.47; 95% CI −0.76, −0.18; Z = −3.15; p = 0.000; I2 = 43.36%). Lifestyle interventions for anxiety in the HADS showed a reduction in anxiety (Hedges’ g = −0.25; 95% CI −0.34, −0.15; Z = −5.13; p = 0.001; I2 = 8.37%). Lifestyle interventions on anxiety in the SCL−90 showed a reduction in anxiety (Hedges’s g = −0.42; 95% CI −0.77, −0.07; Z = −2.34; p = 0.019; I2 = 0%). Lifestyle interventions for anxiety were not significant in the STAI group.

3.7. Lifestyle Intervention and Stress

A meta-analysis of 27 randomized clinical trials of lifestyle interventions on stress showed a reduction in stress, according to which Hedges’ g was equal to −0.22 with a 95% confidence interval −0.34, −0.11 (Z = −3.80; p < 0.001; I2 = 61.40) (Figure 7).
Figure 8 shows a meta-analysis of lifestyle interventions on stress based on different populations. Lifestyle interventions for stress in depressed populations showed a reduction in stress [Hedges’ g = −0.63; 95% CI −0.96, −0.31; Z = −3.79; p < 0.001; I2 = 0%). Lifestyle interventions for stress in the heart-related disease population showed a reduction in stress [Hedges’s g = −0.41; 95% CI −0.64, −0.18; Z = −3.50; p < 0.001; I2 = 0%). Lifestyle interventions for stress in cancer, diabetes, and overweight/obese populations showed that the effects of lifestyle interventions on stress were not significant.
Figure 9 shows a meta-analysis of lifestyle interventions for stress in women. Lifestyle interventions on stress in women showed a reduction in stress [Hedges’ g = −0.20; 95% CI −0.37, −0.03 (Z = −2.25; p = 0.024; I2 = 64.27%). Owing to the insufficient number of studies, a similar meta-analysis on the male population could not be performed.
Figure 10 shows the meta-analysis of lifestyle interventions for stress based on the stress scales. Lifestyle interventions for stress in the DASS showed a reduction in stress [Hedges’ g = −0.31; 95% CI −0.51, −0.10; Z = −2.96 2; p = 0.003; I2 = 59.42%). Lifestyle interventions on stress in the Perceived Stress Scale (PSS) showed a reduction in stress (Hedges’ g = −0.17; 95% CI −0.31, −0.03; Z = −2.45; p = 0.014; I2 = 60.77%]).

3.8. Publication Bias and Heterogeneity

In a meta-analysis of lifestyle interventions on depression, the Q test showed 202.62 (d.f. 88; p < 0.001), and I2 was 56.57%, and showed moderate heterogeneity [59]. The funnel plot in Figure 11 showed that there is a publication bias. Egger’s test indicated p < 0.001 and showed publication bias. The trim-and-fill imputed 14 studies, and the adjusted Hedges’ g was equal to −0.14 with 95% confidence intervals −0.20, −0.08 [64].
In a meta-analysis of lifestyle interventions on anxiety, the Q test showed 112.89 (d.f 47; p < 0.001), and I2 was 59.25%, and showed moderate heterogeneity [59]. The funnel plot in Figure 12 indicates the publication bias. Egger’s test was p = 0.002 and showed publication bias; the trim-and-fill imputed four studies, and Hedges’ g was equal to −0.20 with a 95% confidence interval of −0.29, −0.12 [64].
In a meta-analysis of lifestyle interventions on stress, the Q test showed 67.27 (d.f 26; p < 0.001), and I2 was 61.40%, and showed substantial heterogeneity [59]. The funnel plot in Figure 13 shows no publication bias. The Egger’s test scored p = 0.139 and did not show publication bias; the trim-and-fill test [64] did not impute any study.

4. Discussion

This systematic review and meta-analysis investigated the effects of lifestyle interventions on depression, anxiety, and stress in randomized clinical trials. This study included 96 eligible clinical trials to address research gaps noted in previous meta-analyses.
The results showed that lifestyle interventions led to improvements in depression, anxiety, and stress levels. This means that as people adopt a healthy lifestyle, their mental health improves. The finding related to the effect of lifestyle intervention on depression and anxiety is consistent with studies that have shown this effect [39,40], with the difference that the scope of the current study was much wider, and it was also methodologically strong because previous meta-analysis studies sometimes included clinical trials without a control group, or they combined an individual randomized clinical trial with a cluster. They also used non-parametric statistics, which can reduce the accuracy of the results, and all these factors can lead to weakness. A previous meta-analysis also showed a large effect size for the effect of lifestyle interventions on anxiety; however, that study was limited by the small number of studies included in the meta-analysis and the study population of overweight and obese women [161]. Unlike these previous analyses, our study systematically reviewed and meta-analyzed the impact of stress, which is a novel contribution to this field.
Our findings revealed that lifestyle interventions significantly reduced stress, with pronounced effects in individuals with depression, heart disease, and in women. The considerable role of stress in overall health has driven researchers to explore stress reduction methods over the past decade [162,163,164]. The results showed that lifestyle changes, such as exercise, diet, and improved sleep quality, can effectively reduce stress by lowering cortisol and increasing endorphin levels. Furthermore, the findings suggest that psychological factors, such as increased mindfulness and interoceptive awareness, may mediate these benefits [162,165]. Furthermore, stress and sleep quality are interrelated, and each affects the other in a bidirectional manner [166,167]. Moreover, sleep quality affects stress, and is also affected by stress, forming a vicious loop [168]. Similarly, while a healthy diet seems to reduce stress levels, higher levels of stress have been found to negatively impact diet quality [169]. In such cases, where a causes b, but also b causes a, it is important to target elements of the cycle that can be easier to break, which in such cases may be lifestyle changes rather than stress reductions. Additionally, among the three variables explored in this study (stress, depression, and anxiety), the effect size for lifestyle interventions was the highest for stress, suggesting a more pronounced effect. This further indicates the significance of the findings presented in this study, as stress has a direct impact on human health and influences epigenetic regulation [170]. Despite these negative effects, greater public awareness is required to highlight these direct links [171].
While previous reviews analyzing lifestyle interventions and depression have reported small and moderate effect sizes [43,172], the current review adds to the literature by confirming a modest effect size. In the current study, the effect of lifestyle interventions on depression was significant for individuals with depression, heart-related diseases, diabetes/at-risk diabetes, cancer, and metabolic syndrome, and for women. Interventions, such as healthy eating, increased physical activity, and exercise, have been found to have positive effects. A recent systematic review concluded that even low amounts of physical activity in a week can reduce the risk of developing depression by up to 18% compared to no activity [173].
Interventions based on a healthy lifestyle can affect mental health and reduce depression, anxiety, and stress through several mechanisms. One mechanism for the impact of lifestyle interventions on depression, anxiety, and stress involves neural mechanisms [174]. Physiological factors mediating the effects of physical activity and depression have been well studied, with findings that the effects of physical activity (as a lifestyle component) and antidepressant drugs on the relief of depression can occur through common neuro-molecular mechanisms [175,176] by increasing serotonin and norepinephrine, regulating the hypothalamus–pituitary–adrenal axis, and reducing systemic inflammatory signaling [177,178,179,180]. For anxiety and stress relief, studies have also shown similar neural mechanisms [181,182,183]. which helps reduce anxiety and stress. Healthy nutrition is another lifestyle mechanism that improves mental health [184]. For example, eating foods rich in carbohydrates can lead to diabetes and obesity [185] and. as studies have widely shown, obesity and diabetes are two important risk factors for depression, anxiety, and stress and lead to the deterioration of mental health [24,25,186,187,188,189]. Physiological mediating factors have also been explored to understand the role of a healthy diet in depression and overall affect, with some indications that the microbiome–gut–brain axis may be at its heart [187].
Anxiety: Similar to the findings regarding stress and depression, this study also found that physical activity, nutrition, and psychoeducation improved anxiety. The association between lifestyle interventions and reduced anxiety was prominent among patients with cancer, heart-related diseases, mental disorders, and women. With regard to the effect of physical activity on anxiety and stress relief, studies have also shown similar neural mechanisms [170,171,172], which help reduce anxiety and stress, as reported above. A healthy diet can positively affect anxiety through various mechanisms. These include the role of antioxidants, omega-3 fatty acids, zinc, probiotics, magnesium, and selenium in reducing the symptoms of anxiety disorders (citation). In the case of insufficient antioxidants, for example, oxidative stress has been linked to anxiety through pathways such as alterations in neurotransmission and neuronal function (citation). Moreover, an unhealthy diet can cause depression and anxiety by increasing blood glucose and glycemic load. It has been shown in animal studies that this concentration of high dietary glycemic load “leads to a decrease in plasma glucose to concentrations that trigger the secretion of autonomic counter-regulatory hormones, such as cortisol, adrenaline, growth hormone, and glucagon” [173,174,179]. Therefore, the effectiveness of lifestyle interventions on mental health based on the intensity and type of lifestyle can differ. In the studies included in this meta-analysis, there were differences in the lifestyle methods used, which affected the results of each study. Compared to other mental health interventions, lifestyle-based interventions may not be effective alone in improving mental health problems. Moreover, the effects of lifestyle interventions may not be achieved quickly, and therefore, other treatments, such as psychological and medicinal, also need to be considered. The effectiveness of lifestyle interventions on mental health is known [190], but how the costs and other aspects of this type of intervention compared to other psychological and pharmaceutical treatments compares need comparative study in the future.
Another significant finding was the effect of lifestyle interventions on depression, anxiety, and stress in women, confirming improvements across all three mental health domains. This study also revealed that the effectiveness of lifestyle interventions varied according to the scales used for assessment, with some yielding more significant results than others. Furthermore, the outcomes differed according to the patient population. For instance, depression showed a greater improvement among patients with metabolic disorders, or depression and cancer, whereas anxiety improved the most among those with depression and heart disease. These findings advocate lifestyle interventions as a component of comprehensive mental health care and highlight the need for public education on the connection between lifestyle and mental well-being.

Strengths and Limitations

This study comprehensively reviewed common mental disorders, such as depression, anxiety, and stress, simultaneously in a systematic review and meta-analysis. In previous meta-analyses, different populations were not investigated. However, this distinction was made in this meta-analysis. This is because each population suffers from different diseases that can alter the effects of lifestyle interventions. Investigating gender differences was the study’s focus, and it was able to report results based on women separately; however, owing to the lack of studies, this review could not be performed for men. In addition, this study examined depression, anxiety, and stress based on different scales, which are the most important strengths of this meta-analysis. There are some limitations. These studies have primarily examined the effect of lifestyle interventions on depression and anxiety symptoms but not on depression and anxiety disorders, except for a few cases. Therefore, the generalization of the results to depression, anxiety, and stress disorders is limited. Each clinical trial on lifestyle has used different protocols and, although they have several commonalities, this heterogeneity might also impact the results. Variability in intervention types, such as the nature and intensity of lifestyle modifications, may affect the comparability of results across studies. Furthermore, the use of diverse measurement scales for mental health outcomes, although necessary for comprehensive analysis, introduces potential inconsistencies. Future studies could benefit from standardizing intervention protocols and measurement tools to enhance the comparability and robustness of their findings. Future studies should investigate the long-term impact of lifestyle interventions on mental health outcomes with an emphasis on their influence across broader demographic groups. Furthermore, analyzing subgroups, such as persons with diverse baseline mental health severities or differing socio-economic statuses, could provide more profound insights into the effectiveness and scalability of lifestyle interventions.

5. Conclusions

The findings showed the extent of the effectiveness of lifestyle-based interventions in improving mental health conditions, involving depression, anxiety, and stress. In addition, compared to other psychological and drug treatments, this type of intervention can be less expensive, healthier, and can be performed by more people. Therefore, considering and emphasizing these types of interventions can be highly beneficial and may have a long-term impact.

Author Contributions

Conceptualization, S.A. and M.A.K. methodology, S.A. and M.A.K. software, S.A. validation, S.A., N.M., S.F.J. and M.A.K.; formal analysis, S.A. investigation, S.A., N.M., S.F.J. and M.A.K.; resources, S.A., S.F.J. and M.A.K.; data curation, S.A., S.F.J. and M.A.K.; writing—original draft preparation, S.A., S.F.J. and M.A.K.; writing—review and editing, S.A., N.M., S.F.J. and M.A.K.; visualization, S.A. and M.A.K.; supervision S.A., S.F.J. and M.A.K.; project administration, S.A., N.M., S.F.J. and M.A.K.; funding acquisition, S.F.J. and M.A.K. 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

Data sharing is not applicable. No new data were created or analyzed in this study.

Conflicts of Interest

The authors declare no conflicts of interest.

Appendix A

Table A1. Keywords used for PubMed, Web of Science, Scopus, and the Cochrane Library and Scopus until August 2023.
Table A1. Keywords used for PubMed, Web of Science, Scopus, and the Cochrane Library and Scopus until August 2023.
SearchQuery
PubMed 34,025
#1Lifestyle intervention [Text Word] OR Lifestyle modification [Text Word] OR Lifestyle training [Text Word] OR Life Style [Mesh] OR Life Style [Text Word] OR Healthy Lifestyle [Mesh] OR Healthy Lifestyle [Text Word] OR Lifestyle change [Text Word] OR lifestyle behaviors [Text Word] OR Healthy Lifestyle Behaviors [Text Word]
#2Agoraphobia [Mesh] OR Agoraphobia [Text Word] OR Neurotic Disorders [Mesh] OR Neurotic Disorders [Text Word] OR Obsessive-Compulsive Disorder [Mesh] OR Obsessive-Compulsive Disorder [Text Word] OR Hoarding Disorder [Mesh] OR Hoarding Disorder [Text Word] OR Phobic Disorders [Mesh] OR Phobic Disorders [Text Word] OR Social Phobia [Mesh] OR Social Phobia [Text Word] OR generalized anxiety disorder [Mesh] OR generalized anxiety disorder [Text Word] OR post-traumatic stress disorder [Mesh] OR post-traumatic stress disorder [Text Word] OR phobia [Mesh] OR phobia [Text Word] OR specific phobia [Mesh] OR specific phobia [Text Word] OR Panic Disorder [Mesh] OR Panic Disorder [Text Word] OR Obsessive-Compulsive [Mesh] OR Obsessive-Compulsive [Text Word] OR Neurosis [Mesh] OR Neurosis [Text Word] OR Obsessive-Compulsive Neurosis [Mesh] OR Obsessive-Compulsive Neurosis [Text Word] OR GAD [Mesh] OR GAD [Text Word] OR PTSD [Mesh] OR PTSD [Text Word] OR fear [Mesh] OR fear [Text Word] OR Panic [Mesh] OR panic [Text Word] OR anxiety [Mesh] OR anxiety [Text Word] OR Post-Traumatic [Mesh] OR Post Traumatic [Text Word] OR mental disorders [Mesh] OR mental disorders [Text Word] OR Stress [Mesh] OR Stress [Text Word] OR psychiatric disorders [Mesh] OR psychiatric disorders [Text Word] OR Mental illness [Mesh] OR Mental illness [Text Word] OR Depression [Mesh] OR Depression [Text Word] OR Depressive Symptom [Text Word] OR Depressive Disorders [Mesh] OR Depressive Disorders [Text Word] OR Depressive Syndrome [Text Word] OR Depressive Disorder, Major [Mesh] OR Depressive Disorder, Major [Text Word] OR Mood Disorders [Mesh] OR Mood Disorders [Text Word] OR Affective Disorders [Text Word] OR Common mental disorders [Text Word] OR Stress Disorders [Mesh] OR Stress Disorders [Text Word] OR Acute Stress Disorder [Text Word] OR Stress [Text Word] OR Stress, Physiological [Mesh] OR Stress, Physiological [Text Word] OR tension [Text Word]
Final#1 AND #2
Scopus24,470
#1“Lifestyle intervention” OR “Lifestyle modification” OR “Lifestyle training” OR “Life Style” OR “Healthy Lifestyle” OR “Lifestyle change” OR “lifestyle behaviors” OR “Healthy Lifestyle Behaviors”
#2“Agoraphobia” OR “Anxiety Separation” OR “Neurotic Disorders” OR “Obsessive-Compulsive Disorder” OR “Hoarding Disorder” OR “Phobic Disorders” OR “Social Phobia” OR “generalized anxiety disorder” OR “post-traumatic stress disorder” OR “phobia” OR “specific phobia” OR “Panic Disorder” OR “Obsessive-Compulsive” OR “Neurosis” OR “Obsessive-Compulsive Neurosis” OR “GAD” OR “PTSD” OR “fear” OR “panic” OR “anxiety” OR “Post-Traumatic” OR” mental disorders” OR “Stress” OR “psychiatric disorders” OR “Mental illness” OR “Depression” OR “Depressive Symptom” OR “Depressive Disorders” OR “Depressive Syndrome” OR “Depressive Disorder, Major” OR “Mood Disorders” OR “Affective Disorders” OR “ Common mental disorders” OR “Stress Disorders” OR “Acute Stress Disorder” OR “Stress” OR “Stress, Physiological” OR “Stress, Physiological” OR “Tension”
Final#1 AND #2
Web of Science26,395
#1TS = (Lifestyle intervention OR Lifestyle modification OR Lifestyle training OR Life Style OR Healthy Lifestyle OR Lifestyle change OR lifestyle behaviors OR Healthy Lifestyle Behaviors)
#2TS = (Agoraphobia OR Anxiety Separation OR Neurotic Disorders OR Obsessive-Compulsive Disorder OR Hoarding Disorder OR Phobic Disorders OR Social Phobia OR generalized anxiety disorder OR post-traumatic stress disorder OR phobia OR specific phobia OR Panic Disorder OR Obsessive-Compulsive OR Neurosis OR Obsessive-Compulsive Neurosis OR GAD OR PTSD OR fear OR panic OR anxiety OR Post-Traumatic OR mental disorders OR Stress OR psychiatric disorders OR Mental illness OR Depression OR Depressive Symptom OR Depressive Disorders OR Depressive Syndrome OR Depressive Disorder, Major OR Mood Disorders OR Affective Disorders OR Common mental disorders OR Stress Disorders OR Acute Stress Disorder OR Stress OR Stress, Physiological OR Stress, Physiological OR Tension)
Final#1 AND #2
the Cochrane Library5673
#1Lifestyle intervention OR Lifestyle modification OR Lifestyle training OR Life Style OR Healthy Lifestyle OR Lifestyle change OR lifestyle behaviors OR Healthy Lifestyle Behaviors
#2Agoraphobia OR Anxiety Separation OR Neurotic Disorders OR Obsessive-Compulsive Disorder OR Hoarding Disorder OR Phobic Disorders OR Social Phobia OR generalized anxiety disorder OR post-traumatic stress disorder OR phobia OR specific phobia OR Panic Disorder OR Obsessive-Compulsive OR Neurosis OR Obsessive-Compulsive Neurosis OR GAD OR PTSD OR fear OR panic OR anxiety OR Post-Traumatic OR mental disorders OR Stress OR psychiatric disorders OR Mental illness OR Depression OR Depressive Symptom OR Depressive Disorders OR Depressive Syndrome OR Depressive Disorder, Major OR Mood Disorders OR Affective Disorders OR Common mental disorders OR Stress Disorders OR Acute Stress Disorder OR Stress OR Stress, Physiological OR Stress, Physiological OR Tension
Final#1 AND #2

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Figure 1. Flowchart diagram of screening studies included in this meta-analysis [51]. * Consider, if feasible to do so, reporting the number of records identified from each database or register searched (rather than the total number across all databases/registers). ** If automation tools were used, indicate how m7 any records were excluded by a human and how many were excluded by automation tools.
Figure 1. Flowchart diagram of screening studies included in this meta-analysis [51]. * Consider, if feasible to do so, reporting the number of records identified from each database or register searched (rather than the total number across all databases/registers). ** If automation tools were used, indicate how m7 any records were excluded by a human and how many were excluded by automation tools.
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Figure 2. Forest plot for lifestyle intervention on depression in women [66,70,76,81,85,94,101,102,104,109,120,121,124,125,128,133,137,138,147,150,156,157].
Figure 2. Forest plot for lifestyle intervention on depression in women [66,70,76,81,85,94,101,102,104,109,120,121,124,125,128,133,137,138,147,150,156,157].
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Figure 3. Forest plot of lifestyle intervention on anxiety [65,66,68,71,75,79,80,81,82,83,85,89,90,92,94,96,97,98,102,103,104,107,108,109,110,112,113,117,118,122,124,127,128,129,135,136,138,142,143,150,151,155,157,158,159,160].
Figure 3. Forest plot of lifestyle intervention on anxiety [65,66,68,71,75,79,80,81,82,83,85,89,90,92,94,96,97,98,102,103,104,107,108,109,110,112,113,117,118,122,124,127,128,129,135,136,138,142,143,150,151,155,157,158,159,160].
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Figure 4. Forest plot for lifestyle intervention on anxiety based on diseases [66,68,71,80,81,82,83,90,93,94,96,97,98,102,107,108,109,113,118,122,128,129,135,136,143,150,155,157,158,160].
Figure 4. Forest plot for lifestyle intervention on anxiety based on diseases [66,68,71,80,81,82,83,90,93,94,96,97,98,102,107,108,109,113,118,122,128,129,135,136,143,150,155,157,158,160].
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Figure 5. Forest plot for lifestyle intervention on anxiety in women [66,81,85,94,102,104,109,124,128,138,150,157].
Figure 5. Forest plot for lifestyle intervention on anxiety in women [66,81,85,94,102,104,109,124,128,138,150,157].
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Figure 6. Forest plot for lifestyle intervention on anxiety based on anxiety scales [65,68,71,75,79,80,81,82,83,85,89,90,92,93,94,97,98,102,103,104,107,108,109,112,117,118,122,127,128,129,135,136,138,143,150,155,157,158,159,160].
Figure 6. Forest plot for lifestyle intervention on anxiety based on anxiety scales [65,68,71,75,79,80,81,82,83,85,89,90,92,93,94,97,98,102,103,104,107,108,109,112,117,118,122,127,128,129,135,136,138,143,150,155,157,158,159,160].
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Figure 7. Forest plot for lifestyle intervention on stress [65,68,69,82,85,87,92,94,96,103,104,109,112,113,117,119,121,122,125,128,130,133,142,145,150,151,161].
Figure 7. Forest plot for lifestyle intervention on stress [65,68,69,82,85,87,92,94,96,103,104,109,112,113,117,119,121,122,125,128,130,133,142,145,150,151,161].
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Figure 8. Forest plot for lifestyle intervention on stress based on diseases [68,69,82,94,96,113,119,122,125,128,133,145,150].
Figure 8. Forest plot for lifestyle intervention on stress based on diseases [68,69,82,94,96,113,119,122,125,128,133,145,150].
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Figure 9. Forest plot for lifestyle intervention on stress in women [85,87,94,103,109,121,125,128,133,138,150].
Figure 9. Forest plot for lifestyle intervention on stress in women [85,87,94,103,109,121,125,128,133,138,150].
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Figure 10. Forest plot for lifestyle intervention on stress based on stress scales [65,68,69,82,85,87,94,96,103,109,112,113,117,119,121,122,125,128,130,133,138,142,144,145,147,150,151].
Figure 10. Forest plot for lifestyle intervention on stress based on stress scales [65,68,69,82,85,87,94,96,103,109,112,113,117,119,121,122,125,128,130,133,138,142,144,145,147,150,151].
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Figure 11. Funnel plot for lifestyle intervention and depression.
Figure 11. Funnel plot for lifestyle intervention and depression.
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Figure 12. Funnel plot for lifestyle intervention and anxiety.
Figure 12. Funnel plot for lifestyle intervention and anxiety.
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Figure 13. Funnel plot for lifestyle intervention and stress.
Figure 13. Funnel plot for lifestyle intervention and stress.
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Table 2. Lifestyle intervention on depression based on diseases.
Table 2. Lifestyle intervention on depression based on diseases.
Number of Studies Disease Hedges’s gLower Limit Upper Limit Z Value pI2
7Cancer −0.34−0.59−0.08−2.540.01156.23%
10Depression −0.44−0.62−0.26−4.820.00040.46%
18Diabetes/at risk of diabetes−0.15−0.27−0.03−2.430.01556.51%
8Heart-related disease−0.19−0.34−0.04−2.440.01539.52%
6Other mental disorders −0.01−0.170.15−0.110.9140%
2Metabolic syndrome −0.74−1.27−0.21−2.760.00669.66%
3obstructive pulmonary
disease
−0.14−0.330.05−1.440.1510%
4Older adults −0.09−0.230.05−1.270.2040%
4Overweight/obesity 0.03−0.190.240.250.80253.18
Table 3. Lifestyle intervention on depression based on depression scales.
Table 3. Lifestyle intervention on depression based on depression scales.
Number of Studies Scale Hedges’s gLower Limit Upper Limit Z Value pI2
15Beck Depression Inventory−0.26−0.45−0.07−2.620.00973.07%
12Center for Epidemiologic Studies Depression Scale−0.23−0.32−0.14−4.970.00012.53%
14Depression anxiety and stress scale−0.15−0.310.02−1.760.07849.69
4Edinburgh Postnatal Depression Scale−0.23−0.580.13−1.230.21789.06%
3Geriatric Depression Scale−0.31−0.710.10−1.490.13660.71%
19Hospital
anxiety and depression scale
−0.25−0.35−0.14−4.620.00030.95%
16Patient Health
Questionnaire
−0.16−0.28−0.05−2.760.00649.46%
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Amiri, S.; Mahmood, N.; Javaid, S.F.; Khan, M.A. The Effect of Lifestyle Interventions on Anxiety, Depression and Stress: A Systematic Review and Meta-Analysis of Randomized Clinical Trials. Healthcare 2024, 12, 2263. https://doi.org/10.3390/healthcare12222263

AMA Style

Amiri S, Mahmood N, Javaid SF, Khan MA. The Effect of Lifestyle Interventions on Anxiety, Depression and Stress: A Systematic Review and Meta-Analysis of Randomized Clinical Trials. Healthcare. 2024; 12(22):2263. https://doi.org/10.3390/healthcare12222263

Chicago/Turabian Style

Amiri, Sohrab, Nailah Mahmood, Syed Fahad Javaid, and Moien AB Khan. 2024. "The Effect of Lifestyle Interventions on Anxiety, Depression and Stress: A Systematic Review and Meta-Analysis of Randomized Clinical Trials" Healthcare 12, no. 22: 2263. https://doi.org/10.3390/healthcare12222263

APA Style

Amiri, S., Mahmood, N., Javaid, S. F., & Khan, M. A. (2024). The Effect of Lifestyle Interventions on Anxiety, Depression and Stress: A Systematic Review and Meta-Analysis of Randomized Clinical Trials. Healthcare, 12(22), 2263. https://doi.org/10.3390/healthcare12222263

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