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Article

Self-Compassion and Social Connectedness as Predictors of “Peace and Meaning” during Spain’s Initial COVID-19 Lockdown

by
Jesús Saiz
1,2,*,
Berta Ausín
2,3,
Clara González-Sanguino
2,3,
Miguel Ángel Castellanos
2,4,
María Salazar
1,2,
Carolina Marin
2,3,
Aída López-Gómez
2,
Carolina Ugidos
2 and
Manuel Muñoz
2,3
1
Department of Social Work Differential Psychology, Complutense University of Madrid, 28040 Madrid, Spain
2
Chair Against Stigma Grupo 5, Complutense University of Madrid, 28040 Madrid, Spain
3
Department of Clinical Psychology, Complutense University of Madrid, 28040 Madrid, Spain
4
Department of Psychobiology and Methodology in Behavioral Sciences, School of Psychology, Complutense University of Madrid, 28040 Madrid, Spain
*
Author to whom correspondence should be addressed.
Religions 2021, 12(9), 683; https://doi.org/10.3390/rel12090683
Submission received: 21 July 2021 / Revised: 16 August 2021 / Accepted: 20 August 2021 / Published: 26 August 2021
(This article belongs to the Special Issue Religion, Spirituality and Psychosocial Well-Being)

Abstract

:
The COVID-19 lockdown has had a massive psychological impact on mental health in the general population, with increases in anxiety, depression, and post-traumatic stress disorder. Spiritual well-being, specifically peace and meaning, has already been identified as one of the main protective factors for these disorders in the COVID-19 context. The aim of the present study is to identify facilitating elements for peace and meaning during the COVID-19 lockdown in Spain. Online surveys were used to obtain data from a sample of 3480 Spanish people. Self-compassion and social support were positively related with peace and meaning, while loneliness and perceived discrimination were negatively related. The model for peace and meaning was statistically significant, explaining 47% of the variance. The significant variables were self-kindness, family support, mindfulness, and sense of belonging having a positive association and loneliness a negative one.

1. Introduction

In December 2019, the outbreak of what was going to be known as the COVID-19 pandemic started in the Chinese city of Wuhan. In a few days, many people became infected, and several deaths were reported. In two months, more than 34 countries reported instances of the same virus. In order to control the disease, a state of alarm was declared in different countries, leading the population to an indefinite lockdown. Although necessary to prevent the disease from spreading, the effects of lockdown can have a major impact at a psychological level and be very long lasting (Brooks et al. 2020).
Recent publications have observed the psychological impact of the COVID-19 lockdown on the general population, highlighting greater psychological distress, symptoms of post-traumatic stress disorder (PTSD), depressive symptoms, greater anxiety levels, insomnia, and irritability, among others (Rossi et al. 2020; Wang et al. 2020; Song et al. 2020). These results have also been replicated in Spain (González-Sanguino et al. 2020; Ozamiz-Etxebarria et al. 2020). In addition, some other authors have indicated that this pandemic will end up producing stigmatization and discrimination towards the people infected and their environment (Brooks et al. 2020; Röhr et al. 2020).
Some underlying mechanisms of the impact on mental health have already been observed in relation to COVID-19 confinement. Li et al. (2020) observed that individuals showing low self-control were more vulnerable and more prone to needing psychological aid to maintain their mental health during lockdown. González-Sanguino et al. (2020) pointed to spiritual well-being, specifically peace and meaning, as the main predictor for depression, anxiety, and PTSD during the COVID-19 lockdown, playing a protective role as an emotional underlying mechanism.

1.1. Well-Being and Social Connectedness

Keyes et al. (2002) defined subjective well-being (SWB) as “the evaluation of life in terms of satisfaction and balance between positive and negative affect” (p. 1007), and psychological well-being (PWB) as “the perception of engagement with existential challenges of life” (p. 1007). Although SWB, PWB, and spiritual well-being are closely related (Ellison 2018), spiritual well-being is more specific and has been described “as a dynamic and affective dimension of religion and spirituality that impacts the way that people experience, understand and live their lives” (Munoz et al. 2015, p. 1839). For these authors, spiritual well-being comprehends three dimensions: meaning, peace, and faith. In this research we will focus on the first two of them (meaning and peace), as they are more related to psychological well-being and independent of any particular faith (Nelson et al. 2002). Sibley et al. (2020) compared matched samples of 1003 New Zealanders, assessed before and during the first 18 days of COVID-19 lockdown, and did not find changes in SWB, associating this maintained well-being with higher levels of a sense of community and lower levels of psychological distress. Spiritual well-being has also showed in other situations to be a good predictor of health and PWB (Saiz et al. 2020b; Krupski et al. 2006; McClain et al. 2003; Trevino et al. 2010).
PWB has been associated with several social connectedness variables. For instance, the relationship between social support and well-being has been widely documented, in children and adolescents (Chu et al. 2010), or across age groups (Siedlecki et al. 2014). As Cohen defined, “social support refers to a social network’s provision of psychological and material resources intended to benefit an individual’s ability to cope with stress” (Cohen 2004, p. 676). During lockdown periods, in which physical distance is mandatory, social support and communication have grown as important recommendations to maintain well-being (Brooks et al. 2020) or even to prevent suicide (Courtet et al. 2020).
The need to belong and loneliness are two other perceived social factors closely related to well-being (Mellor et al. 2008; Ausín et al. 2017). As the Belongingness hypothesis defines (Baumeister and Leary 1995), “human beings have a pervasive drive to form and maintain at least a minimum quantity of lasting, positive, and significant interpersonal relationships”. The experience of loneliness has been conceptualized as the cognitions and attributions that arise when an individual perceives a discrepancy between their needed and existing social relationships (Perlman 2004). In the actual confinement situation, some studies have already demonstrated the association between loneliness and anxiety, depression, and PTSD (González-Sanguino et al. 2020; Santini et al. 2020).

1.2. Influence of Religion and Spirituality on Health and Well-Being

Despite the complexity and multi-dimensional concept of religiosity and spirituality (Berry 2005), there is a relative consensus in understanding the terms, as defined by Hill and Pargament (2003). Religiosity can be understood as a personal or group search for the sacred that develops within a traditional or nontraditional context; spirituality, therefore, can be understood as a personal or group search for the sacred. In more detail, spirituality could also be considered as a “personal search for meaning and purpose in life, connection with a transcendent dimension of existence, and the experiences and feelings associated with that search and that connection” (Zinnbauer et al. 1999).
The empirical study of religion and spirituality has grown substantially in recent decades (Paloutzian and Park 2005; Weaver et al. 2006), with an increasing number of reviews and meta-analyses that describe the impact of these variables on health (Hodapp and Zwingmann 2019; Koenig 2009; Yamada et al. 2020). Recently, numerous studies have investigated the effectiveness of religious or spiritual capital to cope with the COVID-19 pandemic (Seryczyńska et al. 2021), confirming that spirituality and religious practices are a protective factor not only with psychological and mental health but also with physical health (Coppola et al. 2021). Indeed, the importance of religious coping for promoting well-being during the COVID-19 pandemic has been probed in different scenarios (Counted et al. 2020; Thomas and Barbato 2020).
One specific variable related to religion and spirituality that has consistently showed itself to be an important explanatory variable in understanding mental health is self-compassion (MacBeth and Gumley 2012). Self-compassion “involves being touched by and open to one’s own suffering, not avoiding or disconnecting from it, generating the desire to alleviate one’s suffering and to heal oneself with kindness. Self-compassion also involves offering nonjudgmental understanding to one’s pain, inadequacies and failures, so that one’s experience is seen as part of the larger human experience” (Neff 2003a, p. 87). The same author also states that self-compassion is an attitude that should protect against the negative consequences of different situations, including isolation and depression. However, self-compassion is not an attitude reserved exclusively for meditators, as Baer et al. (2012) reported: self-compassion predicted PWB in long-term meditators and matched non-meditators. In addition to psychological and spiritual well-being, self-compassion has been shown to also predict anxiety, depression, stress, and physical well-being (Hall et al. 2013; Van Dam et al. 2011), even during the current COVID-19 pandemic (Gutiérrez-Hernández et al. 2021). Finally, compassion-based interventions have also generated good outcomes for depression, anxiety, psychological distress, and well-being (Kirby et al. 2017). In accordance with this, Poli and Conversano (2020) have recommended promoting self-compassion programs to reduce the psychological impact of COVID-19 lockdown.

1.3. Present Study

The current crisis triggered by COVID-19 represents a real challenge, not only in the medical field, but also in maintaining a state of well-being in the population. Different strategies are currently being proposed to reduce the psychological impact of COVID -19 lockdown (e.g., online platform to better manage psychological problems (Zhang et al. 2020); or structured letter therapy (Xiao 2020); however, few studies (Sibley et al. 2020) identify relevant factors (i.e., sense of community) to maintain the subjective well-being of people in lockdown, and more specific factors should be identified in order to design effective interventions.
On 14 March 2020, a state of emergency was declared in Spain and strict and severe lockdown measures were applied to all Spanish citizens. Under these circumstances, it was only possible to leave home for those activities that were crucial (shopping or going to work), remote work was recommended as far as possible, while business that were not considered essential, and all educational centers, remained closed. This study was completed from 21 March to 28 March 2020, when Spanish citizens had been confined to their homes for about 2 weeks. According to official sources (Ministry of Health 2020), Spain, with a population about 47.3 million, had at that time a total of 72,248 individuals testing positive for COVID-19 and 5690 deaths. Previous studies (González-Sanguino et al. 2020; Ausín et al. 2020) highlighted the mediating role of spiritual well-being, specifically peace and meaning, on psychological impact during lockdown. The aim of the present study is to further this research and to identify facilitating elements for peace and meaning in the context of the COVID-19 lockdown period in a sample of Spanish people.

2. Method

2.1. Sample

Participants were recruited by sending requests for participation to people belonging to databases of professors at the Complutense University of Madrid who collaborated with the study, public institutions such as the Chair for Stigma and the Official College of Psychologists, and private institutions such as the company Grupo 5. These databases are complete enough to make a reasonable sample of the population. In addition, to increase the size of the sample as much as possible, we also used “snowball sampling”, and participants were told that if they knew someone interested in participating, they should send them our link. The percentage of people recruited in this way was small, estimated at less than 5%. The final sample was 3480 people from Spain. Inclusion criteria were: (1) to be over 18 years old; and (2) to be living in Spain during the health alarm situation derived from COVID-19. Incomplete answers were considered as exclusion criteria. Participants were engaged by sending the survey through several social network channels (Email, Twitter, WhatsApp lists, and Facebook) and on the website https://www.contraelestigma.com/ (accessed on 20 August 2020).

2.2. Variables and Instruments

2.2.1. Sociodemographic Variables

Sociodemographic variables are shown in Table 1 and Table 2. The following variables were collected through questions asked ad hoc: age (subsequently grouped into clusters: 18–30, 31–59, 60–80); gender identity; relationship (single, with a couple not sharing a house, with a couple sharing a house); marital status (single, married, divorced, separated, widower); children (no, yes, number); educational level (elementary studies, high school, vocational training, university, postgraduate); profession (social-health, education, administration, commercial, other); employment situation (working, unemployed, student, retired, others); work condition (no work, work for others, self-employed); economic situation (subjective perception from very bad to very good); importance of religious beliefs (1 very important to 4 not important; the scores were reversed); and presence of previous medical diagnoses (psychiatry and mental health, cardiovascular, neurological, respiratory, or other diseases). Relationship and marital status were considered together to gain broader information on the person’s social ties, reflecting practical life (first) and legal history (second).

2.2.2. Variables Related to COVID-19

Information related to proximity or distance regarding COVID-19 was gathered: suffering symptoms (yes, no); positive or negative diagnosis; existence or not of family members or close relatives infected; perception of the information received on the alarm situation (considering possession of sufficient information, or being over-informed); and mode of employment (face-to-face employment or work from home) were also considered as possible relevant information.

2.2.3. Variables Related to Spirituality and Well-Being

Peace and meaning was evaluated through the Spanish version (Galiana et al. 2016) of the Functional Assessment of Chronic Illness Therapy Spiritual Well-Being (FACIT-Sp12) (Munoz et al. 2015). This scale was created to explore chronic illness patients, but we decided to use it considering the possibility of stress and other negative states present in lockdown circumstances as previously described in the literature. This scale was designed to assess to what extent patients have experienced spiritual well-being during the last seven days. It includes two subscales: meaning/peace and faith. Considering the lockdown circumstances, and in order to make it faster to respond, we randomly selected four items from the meaning/peace subscale. Meaning is based on a cognitive component, while peace is an affective one. In this subscale, questions are related to harmony, peace, and sense of strength (e.g., “I feel a sense of harmony within myself”). We eliminated the allusion to chronic illness in the instructions, and changed it as follows: “Below you will find a list of statements that other people have said are important…”. The answers were Likert type from 1 (nothing) to 5 (a lot), and the total score was calculated adding the 4 items (range 4–20). Higher scores indicate greater peace and meaning. In the original version, for this subscale, Cronbach’s α was 0.88, in the Spanish version Cronbach’s α was 0.85, and for our reduced version, Cronbach’s α was 0.84.
In addition, the Spanish version of the short Self-Compassion Scale (SCS) (Neff 2003b) was used to evaluate self-compassion (Garcia-Campayo et al. 2014). The scale evaluates how the subject usually acts towards himself in difficult moments in three different dimensions: (a) self-kindness, being kind and understanding towards oneself in instances of pain or failure rather than being harshly self-critical; (b) common humanity, perceiving one’s experiences as part of the larger human experience rather than seeing them as separating and isolating; and (c) mindfulness, holding painful thoughts and feelings in balanced awareness rather than over-identifying with them. In order to make it easier and faster to respond, instead of the original 6 subscales (12 items), here we used 3 subscales (self-kindness, common humanity, and mindfulness; 6 items, 2 items for each dimension). The items are Likert type (from 1 to 5), indicating higher scores for self-compassion (e.g., “When I don’t like something, I try to keep my emotions in balance”). For the Spanish adaptation, Cronbach’s α was 0.85.

2.2.4. Social Connectedness Factors

Social support was evaluated by the Multidimensional Scale of Perceived Social Support (EMAS) (Zimet et al. 1988), adapted to Spanish (Landeta and Calvete 2002). The scale is made up of 12 Likert-type items with 7 response alternatives (from 1 totally disagree, to 7 totally agree), the higher being the more social support perceived (e.g., “My family really tries to help me”). The EMAS explores three possible sources of perceived social support: family (4 items), friends (4 items), and relevant people (4 items), and also offers a full measure of social support. The Spanish version shows Cronbach’s α to be 0.89.
Loneliness was measured by the Spanish 3-item version (Velarde-Mayol et al. 2016) of the UCLA Loneliness Scale (UCLA-3) (Russell 1996). It included the following items: “Since March 15th, how often do you feel that you are short of company?”, “Since March 15th, how often do you feel excluded?”, “Since March 15th, how often do you feel isolated from others?”. The 3 items, presented in Likert-type format with 3 response options (1 rarely, 2 sometimes, 3 often), address 3 dimensions of loneliness: relational connectedness, social connectedness, and self-perceived isolation. The Spanish version shows Cronbach’s α to be 0.95.
The sense of belonging was evaluated by four Likert-type items (from 1, belong a lot, to 4, do not belong). These questions included membership of friends’ groups, family, work, school, neighborhood, and community groups. The scores were reversed, so the higher the score, the more sense of belonging. This measure was previously used in other studies (Madrid City Council 2018).
In addition, we also evaluated the perceived discrimination with the Spanish version of the Intersectional Day-to-Day Discrimination Index (InDI-D) (Scheim and Bauer 2019), which was translated by the authors of this study. This scale provides a measure of the intersectional discrimination that can be produced by different conditions: gender, ethnicity, mental health diagnosis, and so on. We used the main scale formed by 9 Likert-type items with three response options (from 1 never, to 3 many times) (e.g., “… you have been looked at or pointed out in public”). The higher the score, the more discrimination suffered. The adjusted ICC for test-retest reliability of the original version of the InDI-D was 0.70.

2.3. Design

This is an exploratory study and, since face-to-face interviews were not possible due to confinement, an online survey was used for data collection. Conducting online surveys can be considered low-cost and a wide-reaching tool in comparison to traditional recruitment methods (Van Selm and Jankowski 2006). We used Google Forms platform with the objective of reaching the maximum population possible. The survey contained 80 questions and the average time for completion was about 7 min. It was launched on 21 March, with data collection taking place until 28 March 2020. The survey also included a section with information regarding the research, as well as the consent form to participate in the study and acceptance of the data protection laws regarding the regulation (EU) 2016/679 of the European Parliament and of the Council, of 27 April 2016, on the protection of personal data.
The study was approved by the Deontological Commission of the Complutense University of Madrid (pr_2019_20_029).

2.4. Data Analysis

Descriptive statistics were calculated for socio-demographics and psychological variables. Frequencies and percentages are reported for categorical variables and mean (with 95% CI) and standard deviation for numerical variables. The relationships between each variable in the study and peace and meaning measure were reported as a univariate R2 value, coefficients B (with a 95% CI), and standardized coefficients (BSTD). For categorical variables, the reference level is indicated in the results tables. The significance of both R2 and coefficients is indicated with the traditional asterisk (* p < 0.05, ** p < 0.01, *** p < 0.001).
In addition, a linear regression model was calculated for the peace and meaning measure to test the predictive value of socio-demographics and psychosocial variables. Models were estimated by least squares and built with a theory-driven forward strategy (testing the R2 growth). Reports include coefficients B, standardized coefficients (BSTD), adjusted R2, and the significance F test. The statistical analysis was performed using R (3.6.3).

3. Results

3.1. Peace and Meaning

The score on peace and meaning averaged 15.61 (SD = 3.29) (range 4–20). The results indicate that after 14 days of confinement most of the responders showed a medium-high level of peace and meaning.

3.2. Sociodemographic Data and Peace and Meaning

As described in Table 1, the sample (N = 3480) had a majority of women (75%), and an age average of 37.92 years (SD = 13.3). Moreover, 55.1% of the participants declared that they were single, but 52.6% had a partner and shared their home with him/her, and 59% did not have children. In total, 67% had a university degree; 62.9% were working at the time they responded to the survey, 63.6% worked for others, and 29.8% worked in socio-sanitary services. Of the sample, 58.7% considered their economic situation as good or very good. Half of our sample didn’t consider religion as important (51.6%). Finally, 84.2% of the people in the sample had not been diagnosed with a previous illness, with 6.1% having some previous mental health diagnosis. Table 2 shows the work characteristics of the sample.
Table 1. Association between sociodemographic variables and peace and meaning.
Table 1. Association between sociodemographic variables and peace and meaning.
Variablesn (%)BB (95% CI 1)BSTDR2
Gender 0.007 ***
Male870 (25)---------
Female2610 (75)−0.628 ***(−0.88; −0.38)−0.191
Age37.92 (13.3) 20.057 ***(0.05; 0.06)0.2300.052 ***
18–301230 (35.3)---------0.037 ***
31–592054 (58.9)1.120 ***(0.89; 1.35)0.341
60–80203 (5.8)2.263 ***(1.78; 2.74)0.688
Marital status 0.055 ***
Single1921 (55.1)---------
Married1241 (35.6)1.633 ***(1.40; 1.86)0.496
Divorced216 (6.2)1.290 ***(0.84; 1.74)0.392
Separated69 (2)0.493(−0.27; 1.26)0.150
Widower40 (1.1)1.223 *(0.22; 2.22)0.372
Relationship 0.041 ***
Single935 (26.8)---------
Couple no sharing housing719 (20.6)0.146(−0.17; 0.46)0.045
Couple sharing housing1833 (52.6)1.404 ***(1.15; 1.66)0.427
Children0.732 (1) 10.710 ***(0.60; 0.82)0.2150.046 ***
No2056 (59)---------0.047 ***
Yes1431 (41)1.460 ***(1.24; 1.68)0.444
Education 0.011 ***
Elementary99 (2.8)---------
High school607 (17.4)−0.632(−1.33; 0.06)−0.192
Vocational training446 (12.8)−0.243(−0.96; 0.47)−0.074
University1304 (37.4)0.204(−0.46; 0.87)0.062
Postgraduate1031 (29.6)0.375(−0.30; 1.05)0.114
Religious importance 0.019 ***
Nothing1801 (51.6)---------
Not very important946 (27.1)0.412 **(0.16; 0.67)0.125
Quite important477 (13.7)1.104 ***(0.77; 1.43)0.336
A lot263 (7.5)1.362 ***(0.94; 1.78)0.414
Previous illness 0.054 ***
Nothing2937 (84.2)---------
Cardiovascular109 (3.1)0.078(−0.53; 0.69)0.024
Neurological57 (1.6)−0.980 *(−1.82; −0.14)−0.298
Respiratory171 (4.9)−0.799 **(−1.29; −0.31)−0.243
Mental health213 (6.1)−3.153 ***(−3.60; −2.71)−0.959
1 CI = confidence interval. 2 Mean (SD). * p < 0.05, ** p < 0.01, *** p < 0.001.
Being older was significantly related to peace and meaning (BSTD = 0.688). Furthermore, being married (BSTD = 0.496), having a partner and sharing a house (BSTD = 0.427), and having children (BSTD = 0.444) was associated with better peace and meaning. Being retired (BSTD = 0.694), self-employed (BSTD = 0.325), or working in education (BSTD = 0.271) scored better in peace and meaning. Rating personal financial status as good or very good was also positively related to peace and meaning (BSTD = 0.650). Despite the fact that the majority of the sample obtained very low scores in religion, when they valued it some (BSTD = 0.336) or a lot (BSTD = 0.414), religion positively related to peace and meaning.
Females reported lower levels of peace and meaning than males (BSTD = −0.191). Having a previous mental health diagnosis was the variable with the highest negative score related to peace and meaning (BSTD = −0.959).
Table 2. Association between work variables and peace and meaning.
Table 2. Association between work variables and peace and meaning.
Variablesn (%)BB (95% CI 1)BSTDR2
Work situation 0.045 ***
Unemployed289 (8.3)---------
Student663 (19)−0.234(−0.68; 0.21)−0.071
Retired125 (3.6)2.283 ***(1.61; 2.96)0.694
Other213 (6.1)0.596 *(0.03; 1.17)0.181
Working2191 (62.9)1.320 ***(0.93; 1.71)0.401
Work condition 0.015 ***
No work869 (24.9)---------
Work for others2217 (63.6)0.934 ***(0.68; 1.19)0.284
Self-employment401 (11.5)1.070 ***(0.68; 1.46)0.325
Professional area 0.010 ***
Other1360 (39.0)---------
Administration332 (9.5)0.483 *(0.09; 0.88)0.147
Commercial211 (6.0)−0.076(−0.55; 0.40)−0.023
Education543 (15.5)0.892 ***(0.57; 1.22)0.271
Social health1041 (29.8)0.603 ***(0.34; 0.87)0.183
Perceived economic situation 0.050 ***
Very bad–bad356 (10.5)---------
Good–very good1994 (58.7)2.138 ***(1.78; 2.50)0.650
Regular1049 (30.9)1.013 ***(0.63; 1.40)0.308
1 CI = confidence interval. * p < 0.05, *** p < 0.001.

3.3. COVID-19 Related Data and Peace and Meaning

In relation to COVID-19, as Table 3 shows, 0.7% of the sample had tested positive for COVID-19, 13.9% declared that they had suffered symptoms compatible with the disease, and 28.3% had a family member or close relative who had been diagnosed. With regard to the information received about COVID-19, 57.5% stated that they had received sufficient information. Regarding employment, 43% of the sample worked from home.
Having symptoms (BSTD = −0.206) or having a relative diagnosed with COVID-19 (BSTD = −0.083) were negatively associated with peace and meaning, but having enough information about COVID-19 increased peace and meaning (BSTD = 0.312). Face-to-face employment (BSTD = 0.253) or work from home (BSTD = 0.241) were both positively associated with peace and meaning.

3.4. Self-Compassion and Social Connectedness Factors as Predictors of Peace and Meaning

As described in Table 4, self-compassion was the variable with the strongest association with peace and meaning (BSTD = 0.584). The 3 subscales showed a positive association, the most relevant being self-kindness (BSTD = 0.566), then mindfulness (BSTD = 0.513), and finally common humanity (BSTD = 0.482).
Social support was also related with peace and meaning (BSTD = 0.454), the family being the most important source of social support (BSTD = 0.434), relevant others (BSTD = 0.366), and finally friends (BSTD = 0.302). In accordance with this, the sense of belonging was also positively associated (BSTD = 0.250).
Loneliness (BSTD = −0.451) and perceived discrimination (BSTD = −0.182) were negatively related to peace and meaning.

3.5. Regressions on Peace and Meaning

The model for peace and meaning was statistically significant, explaining 47.07% of the variance [F (5, 3380) = 603.1, p < 0.001]. The significant variables were self-kindness (BSTD = 0.291), family support (BSTD = 0.211), loneliness (in a negative direction) (BSTD = −0.207), mindfulness (BSTD = 0.169), and sense of belonging (BSTD = 0.116). The model is presented in Table 5.

4. Discussion

Spiritual well-being has been studied before, showing multiple interesting results. For example, in cancer patients (Baqutayan 2019); in those recovering from persistent mental disorders (Saiz et al. 2020a) or substance abuse, where perceived social support and spiritual well-being showed positive effects to determine a meaningful life (Sultan et al. 2018); and as an important factor to maintain good health in elder populations (Dos Santos et al. 2018; Salman and Lee 2019).
COVID-19 lockdown is having an important psychological impact on the general population all around the world (Rossi et al. 2020; Wang et al. 2020). It is urgent to find out the underlying mechanisms which explain this impact. As a step forward with regard to previous research which pointed to peace and meaning as a protective factor of mental health (González-Sanguino et al. 2020), in this study we have identified a series of variables that might help to improve peace and meaning in the situation of confinement caused by COVID-19. In this unforeseen and long-lasting external event, with high potential to affect the mental health of a population physically isolated, the analysis of factors that might help in the care of the subjective well-being of the population is essential.
First, considering sociodemographic variables, being a man, older, retired, living with someone (married, partner, or children), and having a good or very good financial status were associated with peace and meaning. This coincides with previous research (González-Sanguino et al. 2020), which found that being in the older age group and having economic stability were negatively related to depression, anxiety, and PTSD. The fact that women were associated with worse peace and meaning, as Wenham et al. (2020) suggested, might be explained from a cultural perspective, because women are usually the ones who provide most of the informal care within families, with the consequence of limiting their work and economic opportunities. In addition, it might also be true that traditional social norms push women to take care of others rather than to care for themselves (self-kindness) (Alon et al. 2020). Additionally, we found that having a previous mental disorder diagnosed was also associated with worse peace and meaning (Saiz et al. 2021). This might recall the concept of intersectional stigma (Turan et al. 2019), which underlines the necessity of caring for other already stigmatized groups, in which the impact of another risk situation (e.g., increased stress in the lockdown) can worsen their well-being. Finally, it is striking that although most of the sample didn’t consider religion as important, the more value was given to religion, the better the peace and meaning. This coincides with other authors (Green and Elliott 2010; Lun and Bond 2013), who reported better outcomes on well-being in religious samples.
As protective factors, we have found significant relationships between peace and meaning and self-compassion, as well as with other social connectedness factors, such as perceived social support and sense of belonging, whereas loneliness and discrimination were identified as risk factors. This agrees with Liu et al. (2020a) who found that self-compassion and social connectedness worked together to buffer the impact of racial discrimination on mental health among college students. As Cook (2004) previously stated, this association leads us to consider that peace and meaning cannot be restricted to the individual sphere, but rather that it implies a connective and interrelated dimension.
While other authors (Baer et al. 2012) found mindfulness slightly more related to psychological well-being, we found that the component of self-compassion that best explains peace and meaning is self-kindness; that is, the ability to be understanding with oneself in the process of coping with a difficult situation, such as the COVID-19 lockdown. Even though other authors (Sibley et al. 2020) failed to identify it in their study, here the protective effect of self-kindness is accompanied by the social support provided by the family. Even with the severe lockdown measures and social distance imposed, family social support seems to constitute a fundamental source for the provision of affection and material resources that reinforce the person’s ability to successfully face this difficult situation. Third, we found that loneliness is a factor that puts at risk the possibility of maintaining an optimal state of peace and meaning. As has been pointed out in previous works (González-Sanguino et al. 2021), the feeling of loneliness perceived by the person in a confined situation increases the negative psychological impact, and here we add that it also reduces peace and meaning. Another of the elements of self-compassion that came out to be significant in the model was mindfulness which, in a COVID-19 lockdown context, may imply the person’s ability to cope with the suffering derived from the situation in a state of awareness. Finally, related to “sense of community with others in their neighborhood” (Sibley et al. 2020), or “collective-affirmation” (Tiwari et al. 2020), in this study we found that the feeling of belonging is also prominent in the model, suggesting that membership of friends’ groups, work, school, neighborhood, or community groups, are important elements in the process of strengthening peace and meaning. We might recall here all solidarity actions that are happening across the world based on shared collective values, cooperation, and compassion.
As limitations, the study has an exploratory nature and is not representative of the Spanish population; it contains an unequal distribution in some age groups and gender, which limits the scope of its conclusions. The via online sampling strategy does not cover people who are not used to online social media, email, or even responding to online surveys, and precisely these people could be more isolated and less exposed to messages of compassion. Future studies would require reaching this population. In addition, in order to have a fast and easy online survey, we had to apply a reduced version of some scales, risking their reliability. Specifically, we did not include the four faith items (faith sub-scale) of the FACIT-Sp12, which made it impossible to obtain complete conclusions on spiritual well-being. There are other elements, such as gratitude (Mills et al. 2015) or hope (Counted et al. 2020), that have shown an important impact on well-being and might be considered along with self-compassion in order to improve peace and meaning in future research. In addition, also for future research, it would be necessary to test these results in other cultures, with different religious beliefs and practices, and considering their potential spiritual needs. It also would be worth it to expand the scope to the role of other elements related to social and environmental connectedness that might also improve peace and meaning (e.g., caring for pets, having plants in the house, and so on). Another limitation in the study is the failure to carry out analyses to see how these variables work with prevalent negative symptoms during COVID-19 lockdown, such as levels of stress, depression, or anxiety. Future studies will reveal how peace, meaning, and self-compassion work together with negative symptomatology. Finally, a period of two weeks in lockdown is relatively short compared to the significantly longer periods that people have been facing. So, we must understand this data in the context of Spain’s initial COVID-19 lockdown. Nevertheless, Lee et al. (2021) already found that compassion toward others and self-compassion were associated with better mental well-being across the adult lifespan, so it could be hypothesized that self-compassion might play an important role to buffer the adverse mental health impacts of COVID-19 in the future and in prolonged periods of lockdown (Lau et al. 2020).
Considering all this, it is still necessary to propose intervention strategies that can combine the effects of self-regulation factors (self-kindness and mindfulness), for instance the practice of meditation (Lv et al. 2020), and factors that facilitate social connectedness (family social support, perception of not being alone and discriminated, and the feeling of belonging), perhaps using online technologies (Liu et al. 2020b; Armitage and Nellums 2020), to maintain optimal subjective well-being in people affected by the COVID-19 lockdown. In agreement with other authors (Bansal et al. 2020; Koenig 2020), the following are some recommendations to help individuals maintain spiritual, mental, and physical well-being during the COVID-19 pandemic:
  • Take care of yourself: exercise, sleep enough, watch your diet and practice meditation, mindfulness, yoga, or other spiritual activities.
  • Keep in contact with your family and relevant people.
  • Engage or follow social groups with similar interests to your own.
  • If you practice any faith, maintain religious involvement.
  • Use social media to promote kindness to others and connect with those who are physically distanced.
COVID-19 is a great challenge for authorities and all human beings, but there might be a resilience landscape, which could be sustained in basic human resources (self-regulation along with social connectedness).

Author Contributions

Conceptualization, J.S., B.A. and C.G.-S.; methodology, M.Á.C. and J.S.; software, M.Á.C.; validation, B.A. and C.G.-S.; formal analysis, J.S. and M.Á.C.; investigation, J.S., B.A. and C.G.-S.; resources, M.S., C.U., A.L.-G. and C.G.-S.; data curation, M.Á.C. and J.S.; writing—original draft preparation, J.S., C.M. and M.S.; writing—review and editing, J.S., B.A., C.G.-S., C.M. and M.S.; visualization, J.S.; supervision, J.S.; project administration, B.A.; funding acquisition, M.M. and M.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was partly funded by the Chair against Stigma Grupo 5-Complutense University of Madrid, Spain.

Institutional Review Board Statement

The study was approved by the Deontological Commission of the Faculty of Psychology of the Complutense University of Madrid with reference “pr_2019_20_029”.

Informed Consent Statement

The survey included a section with the consent form to participate in the study and acceptance of the data protection laws in regulation (EU) 2016/679 of the European Parliament and of the Council, of 27 April 2016, on the protection of personal data.

Data Availability Statement

The study is registered in COVID-MINDS network and it is available at https://www.covidminds.org/longitudinal-studies (accessed on 20 August 2020).

Acknowledgments

We are grateful to Grupo 5 and the UCM anti-stigma chair for helping with data collection and human resources facilities.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Alon, Titan, Matthias Doepke, Jane Olmstead-Rumsey, and Michèle Tertilt. 2020. The Impact of COVID-19 on Gender Equality. Cambridge: National Bureau of Economic Research. [Google Scholar] [CrossRef]
  2. Armitage, Richard, and Laura B. Nellums. 2020. COVID-19 and the Consequences of Isolating the Elderly. The Lancet Public Health 5: E256. [Google Scholar] [CrossRef] [Green Version]
  3. Ausín, Berta, Clara González-Sanguino, Miguel Ángel Castellanos, and Manuel Muñoz. 2020. Gender-Related Differences in the Psychological Impact of Confinement as a Consequence of COVID-19 in Spain. Journal of Gender Studies 30: 29–38. [Google Scholar] [CrossRef]
  4. Ausín, Berta, Manuel Muñoz, and Miguel A. Castellanos. 2017. Loneliness, Sociodemographic and Mental Health Variables in Spanish Adults over 65 Years Old. The Spanish Journal of Psychology 20: E46. [Google Scholar] [CrossRef] [PubMed]
  5. Baer, Ruth A., Emily L.B. Lykins, and Jessica R. Peters. 2012. Mindfulness and Self-Compassion as Predictors of Psychological Wellbeing in Long-Term Meditators and Matched Nonmeditators. The Journal of Positive Psychology 7: 230–38. [Google Scholar] [CrossRef]
  6. Bansal, Priya, Theresa A. Bingemann, Matthew Greenhawt, Giselle Mosnaim, Anil Nanda, John Oppenheimer, Hemant Sharma, David Stukus, and Marcus Shaker. 2020. Clinician Wellness During the COVID-19 Pandemic: Extraordinary Times and Unusual Challenges for the Allergist/Immunologist. The Journal of Allergy and Clinical Immunology: In Practice 8: 1781–90. [Google Scholar] [CrossRef] [PubMed]
  7. Baqutayan, Shadiya Mohamed Saleh. 2019. How Can Anxiety Be Better Managed? Depression, Anxiety, and Coping Mechanisms among Cancer Patients. World Cancer Research Journal 6: e1350. [Google Scholar] [CrossRef]
  8. Baumeister, Roy F., and Mark R. Leary. 1995. The Need to Belong: Desire for Interpersonal Attachments as a Fundamental Human Motivation. Psychological Bulletin 117: 497–529. [Google Scholar] [CrossRef]
  9. Berry, Devon. 2005. Methodological Pitfalls in the Study of Religiosity and Spirituality. Western Journal of Nursing Research 27: 628–47. [Google Scholar] [CrossRef]
  10. Brooks, Samantha K., Rebecca K. Webster, Louise E. Smith, Lisa Woodland, Simon Wessely, Neil Greenberg, and Gideon James Rubin. 2020. The Psychological Impact of Quarantine and How to Reduce It: Rapid Review of the Evidence. The Lancet 395: 912–20. [Google Scholar] [CrossRef] [Green Version]
  11. Chu, Po Sen, Donald A. Saucier, and Eric Hafner. 2010. Meta-Analysis of the Relationships between Social Support and Well-Being in Children and Adolescents. Journal of Social and Clinical Psychology 29: 624–45. [Google Scholar] [CrossRef]
  12. Cohen, Sheldon. 2004. Social Relationships and Health. American Psychologist 59: 676–84. [Google Scholar] [CrossRef] [PubMed]
  13. Cook, Christopher C. H. 2004. Addiction and Spirituality. Addiction 99: 539–51. [Google Scholar] [CrossRef]
  14. Coppola, Ilaria, Nadia Rania, Rosa Parisi, and Francesca Lagomarsino. 2021. Spiritual Well-Being and Mental Health During the COVID-19 Pandemic in Italy. Frontiers in Psychiatry 12: 626944. [Google Scholar] [CrossRef]
  15. Counted, Victor, Kenneth I. Pargament, Andrea Ortega Bechara, Shaun Joynt, and Richard G. Cowden. 2020. Hope and Well-Being in Vulnerable Contexts during the COVID-19 Pandemic: Does Religious Coping Matter? The Journal of Positive Psychology, 1–12. [Google Scholar] [CrossRef]
  16. Courtet, Philippe, Emilie Olié, Christophe Debien, and Guillaume Vaiva. 2020. Keep Socially (but Not Physically) Connected and Carry on: Preventing Suicide in the Age of COVID-19. The Journal of Clinical Psychiatry 81: 20com13370. [Google Scholar] [CrossRef] [Green Version]
  17. Dos Santos, Sabrina B., Gabrielli P. Rocha, Liana L. Fernandez, Analuiza C. de Padua, and Caroline T. Reppold. 2018. Association of Lower Spiritual Well-Being, Social Support, Self-Esteem, Subjective Well-Being, Optimism and Hope Scores With Mild Cognitive Impairment and Mild Dementia. Frontiers in Psychology 9: 371. [Google Scholar] [CrossRef] [PubMed]
  18. Ellison, Craig W. 2018. Spiritual Well-Being: Conceptualization and Measurement. Journal of Psychology and Theology 11: 1983. [Google Scholar] [CrossRef]
  19. Galiana, Laura, Patricia Sancho, Amparo Oliver, José Manuel Tomás, and Pablo Calatayud. 2016. Envejecimiento y Espiritualidad: Estructura Factorial y Fiabilidad de Dos Escalas. Revista Espanola de Geriatria y Gerontologia 51: 265–69. [Google Scholar] [CrossRef] [PubMed]
  20. Garcia-Campayo, Javier, Mayte Navarro-Gil, Eva Andrés, Jesús Montero-Marin, Lorena López-Artal, and Marcelo Marcos Demarzo. 2014. Validation of the Spanish Versions of the Long (26 Items) and Short (12 Items) Forms of the Self-Compassion Scale (SCS). Health and Quality of Life Outcomes 12: 4. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. González-Sanguino, Clara, Berta Ausín, Miguel ÁngelCastellanos, Jesús Saiz, Aída López-Gómez, Carolina Ugidos, and Manuel Muñoz. 2020. Mental Health Consequences during the Initial Stage of the 2020 Coronavirus Pandemic (COVID-19) in Spain. Brain, Behavior, and Immunity 87: 172–6. [Google Scholar] [CrossRef] [PubMed]
  22. González-Sanguino, C., B. Ausín, M.A. Castellanos, J. Saiz, and M. Muñoz. 2021. Mental Health Consequences of the Covid-19 Outbreak in Spain. A Longitudinal Study of the Alarm Situation and Return to the New Normality. Progress in Neuro-Psychopharmacology and Biological Psychiatry 107: 110219. [Google Scholar] [CrossRef]
  23. Green, Morgan, and Marta Elliott. 2010. Religion, Health, and Psychological Well-Being. Journal of Religion and Health 49: 149–63. [Google Scholar] [CrossRef]
  24. Gutiérrez-Hernández, María Elena, Luisa Fernanda Fanjul, Alicia Díaz-Megolla, Pablo Reyes-Hurtado, Jonay Francisco Herrera-Rodríguez, María del Pilar Enjuto-Castellanos, and Wenceslao Peñate. 2021. COVID-19 Lockdown and Mental Health in a Sample Population in Spain: The Role of Self-Compassion. International Journal of Environmental Research and Public Health 18: 2103. [Google Scholar] [CrossRef]
  25. Hall, Cathy W., Kathleen A. Row, Karl L. Wuensch, and Katelyn R. Godley. 2013. The Role of Self-Compassion in Physical and Psychological Well-Being. The Journal of Psychology 147: 311–23. [Google Scholar] [CrossRef]
  26. Hill, Peter C., and Kenneth I. Pargament. 2003. Advances in the Conceptualization and Measurement of Religion and Spirituality: Implications for Physical and Mental Health Research. American Psychologist 58: 64–74. [Google Scholar] [CrossRef] [Green Version]
  27. Hodapp, Bastian, and Christian Zwingmann. 2019. Religiosity/Spirituality and Mental Health: A Meta-Analysis of Studies from the German-Speaking Area. Journal of Religion and Health 58: 1970–98. [Google Scholar] [CrossRef] [PubMed]
  28. Keyes, Corey L. M., Dov Shmotkin, and Carol D. Ryff. 2002. Optimizing Well-Being: The Empirical Encounter of Two Traditions. Journal of Personality and Social Psychology 82: 1007–22. [Google Scholar] [CrossRef] [PubMed]
  29. Kirby, James N., Cassandra L. Tellegen, and Stanley R. Steindl. 2017. A Meta-Analysis of Compassion-Based Interventions: Current State of Knowledge and Future Directions. Behavior Therapy 48: 778–92. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  30. Koenig, Harold G. 2009. Research on Religion, Spirituality, and Mental Health: A Review. The Canadian Journal of Psychiatry 54: 283–91. [Google Scholar] [CrossRef] [Green Version]
  31. Koenig, Harold G. 2020. Maintaining Health and Well-Being by Putting Faith into Action during the COVID-19 Pandemic. Journal of Religion and Health 59: 2205–14. [Google Scholar] [CrossRef]
  32. Krupski, Tracey L., Lorna Kwan, Arlene Fink, Geoffrey A. Sonn, Sally Maliski, and Mark S. Litwin. 2006. Spirituality Influences Health Related Quality of Life in Men with Prostate Cancer. Psycho-Oncology 15: 121–31. [Google Scholar] [CrossRef]
  33. Landeta, O., and E. Calvete. 2002. Adaptation and Validation of the Multidimensional Scale of Perceived Social Support. Anxiety and Stress 8: 173–82. [Google Scholar]
  34. Lau, Bobo Hi-Po, Cecilia Lai-Wan Chan, and Siu-Man Ng. 2020. Self-Compassion Buffers the Adverse Mental Health Impacts of COVID-19-Related Threats: Results From a Cross-Sectional Survey at the First Peak of Hong Kong’s Outbreak. Frontiers in Psychiatry 11: 585270. [Google Scholar] [CrossRef] [PubMed]
  35. Lee, Ellen E., Tushara Govind, Marina Ramsey, Tsung Chin Wu, Rebecca Daly, Jinyuan Liu, Xin M. Tu, Martin P. Paulus, Michael L. Thomas, and Dilip V. Jeste. 2021. Compassion toward Others and Self-Compassion Predict Mental and Physical Well-Being: A 5-Year Longitudinal Study of 1090 Community-Dwelling Adults across the Lifespan. Translational Psychiatry 11: 397. [Google Scholar] [CrossRef] [PubMed]
  36. Li, Jian Bin, An Yang, Kai Dou, and Rebecca Yuen Man Cheung. 2020. Self-Control Moderates the Association between Perceived Severity of the Coronavirus Disease 2019 (COVID-19) and Mental Health Problems among the Chinese Public. Preprint. PsyArXiv. Available online: https://doi.org/10.31234/osf.io/2xadq (accessed on 20 August 2020).
  37. Liu, Shuai, Lulu Yang, Chenxi Zhang, Yu-Tao Xiang, Zhongchun Liu, Shaohua Hu, and Bin Zhang. 2020a. Online Mental Health Services in China during the COVID-19 Outbreak. The Lancet Psychiatry 7: e17–18. [Google Scholar] [CrossRef]
  38. Liu, Shuyi, Chun-I Li, Cixin Wang, Meifen Wei, and Stacy Ko. 2020b. Self-Compassion and Social Connectedness Buffering Racial Discrimination on Depression Among Asian Americans. Mindfulness 11: 672–82. [Google Scholar] [CrossRef]
  39. Lun, Vivian Miu-Chi, and Michael Harris Bond. 2013. Examining the Relation of Religion and Spirituality to Subjective Well-Being across National Cultures. Psychology of Religion and Spirituality 5: 304–15. [Google Scholar] [CrossRef] [Green Version]
  40. Lv, Jing, Qiuling Liu, Xianglong Zeng, Tian P. S. Oei, Yidan Liu, Kexin Xu, Wenxiang Sun, Hanchao Hou, and Jing Liu. 2020. The Effect of Four Immeasurables Meditations on Depressive Symptoms: A Systematic Review and Meta-Analysis. Clinical Psychology Review 76: 101814. [Google Scholar] [CrossRef]
  41. MacBeth, Angus, and Andrew Gumley. 2012. Exploring Compassion: A Meta-Analysis of the Association between Self-Compassion and Psychopathology. Clinical Psychology Review 32: 545–52. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Madrid City Council. 2018. The Unwanted Loneliness in the City of Madrid. Health-Madrid. Available online: https://fuencactiva.org/wp-content/uploads/2019/09/Soledad_ciudaddeMadrid.pdf (accessed on 20 August 2020).
  43. McClain, Colleen S., Barry Rosenfeld, and William Breitbart. 2003. Effect of Spiritual Well-Being on End-of-Life Despair in Terminally-Ill Cancer Patients. The Lancet 361: 1603–7. [Google Scholar] [CrossRef]
  44. Mellor, David, Mark Stokes, Lucy Firth, Yoko Hayashi, and Robert Cummins. 2008. Need for Belonging, Relationship Satisfaction, Loneliness, and Life Satisfaction. Personality and Individual Differences 45: 213–18. [Google Scholar] [CrossRef]
  45. Mills, Paul J., Laura Redwine, Kathleen Wilson, Meredith A. Pung, Kelly Chinh, Barry H. Greenberg, Ottar Lunde, Alan Maisel, Ajit Raisinghani, Alex Wood, and et al. 2015. The Role of Gratitude in Spiritual Well-Being in Asymptomatic Heart Failure Patients. Spirituality in Clinical Practice 2: 5–17. [Google Scholar] [CrossRef]
  46. Ministry of Health COVID-19 Situation in Spain. 2020. Goverment of Spain. Available online: https://covid19.isciii.es/ (accessed on 20 August 2021).
  47. Munoz, Alexis R., John M. Salsman, Kevin D. Stein, and David Cella. 2015. Reference Values of the Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being: A Report from the American Cancer Society’s Studies of Cancer Survivors: Reference Values for the FACIT-Sp-12. Cancer 121: 1838–44. [Google Scholar] [CrossRef] [Green Version]
  48. Neff, Kristin D. 2003a. Self-Compassion: An Alternative Conceptualization of a Healthy Attitude Toward Oneself. Self and Identity 2: 85–101. [Google Scholar] [CrossRef] [Green Version]
  49. Neff, Kristin D. 2003b. The Development and Validation of a Scale to Measure Self-Compassion. Self and Identity 2: 223–50. [Google Scholar] [CrossRef]
  50. Nelson, Christian J., Barry Rosenfeld, William Breitbart, and Michele Galietta. 2002. Spirituality, Religion, and Depression in the Terminally Ill. Psychosomatics 43: 213–20. [Google Scholar] [CrossRef] [PubMed]
  51. Ozamiz-Etxebarria, Naiara, Maria Dosil-Santamaria, Maitane Picaza-Gorrochategui, and Nahia Idoiaga-Mondragon. 2020. Niveles de Estrés, Ansiedad y Depresión En La Primera Fase Del Brote Del COVID-19 En Una Muestra Recogida En El Norte de España. Cadernos de Saúde Pública 36: e00054020. [Google Scholar] [CrossRef] [PubMed]
  52. Paloutzian, Raymond F., and Crystal L. Park. 2005. Handbook of the Psychology of Religion and Spirituality. New York: The Guilford Press. [Google Scholar]
  53. Perlman, Daniel. 2004. European and Canadian Studies of Loneliness among Seniors. Canadian Journal on Aging/La Revue Canadienne Du Vieillissement 23: 181–88. [Google Scholar] [CrossRef] [Green Version]
  54. Poli, Andrea, and Ciro Conversano. 2020. The Psychological Impact of SARS-CoV-2 Quarantine: Observations through the Lens of the Polyvagal Theory. Clinical Neuropsychiatry 17: 112–14. [Google Scholar] [CrossRef]
  55. Röhr, Susanne, Felix Müller, Franziska Jung, Christian Apfelbacher, Andreas Seidler, and Steffi G. Riedel-Heller. 2020. Psychosoziale Folgen von Quarantänemaßnahmen bei schwerwiegenden Coronavirus-Ausbrüchen: Ein Rapid Review. Psychiatrische Praxis 47: 179–89. [Google Scholar] [CrossRef]
  56. Rossi, Rodolfo, Valentina Socci, Dalila Talevi, Sonia Mensi, Cinzia Niolu, Francesca Pacitti, Antinisca Di Marco, Alessandro Rossi, Alberto Siracusano, and Giorgio Di Lorenzo. 2020. COVID-19 Pandemic and Lockdown Measures Impact on Mental Health among the General Population in Italy. An N=18147 Web-Based Survey. Preprint. Psychiatry and Clinical Psychology. Available online: https://doi.org/10.1101/2020.04.09.20057802 (accessed on 20 August 2020).
  57. Russell, Daniel W. 1996. UCLA Loneliness Scale (Version 3): Reliability, Validity, and Factor Structure. Journal of Personality Assessment 66: 20–40. [Google Scholar] [CrossRef] [PubMed]
  58. Saiz, Jesús, Chen-Chen Xin, and Paul J. Mills. 2020a. Religiosity and spirituality in the stages of recovery from persistent mental disorders. The Journal of Nervous and Mental Disease 209: 106–13. [Google Scholar] [CrossRef]
  59. Saiz, Jesús, Meredith A. Pung, Kathleen L. Wilson, Christopher Pruitt, Thomas Rutledge, Laura Redwine, Pam R. Taub, Barry H. Greenberg, and Paul J. Mills. 2020b. Is Belonging to a Religious Organization Enough? Differences in Religious Affiliation Versus Self-Ratings of Spirituality on Behavioral and Psychological Variables in Individuals with Heart Failure. Healthcare 8: 129. [Google Scholar] [CrossRef]
  60. Saiz, Jesús, Manuel Muñoz, Berta Ausín, Clara González-Sanguino, Miguel Ángel Castellanos, Carlos Vaquero, Carolina Ugidos, and Aída López-Gómez. 2021. Effects of COVID-19 Lockdown on Perceived Discrimination and Internalized Stigma in People with Previous Mental Disorder Diagnoses in Spain. American Journal of Orthopsychiatry 91: 407–11. [Google Scholar] [CrossRef] [PubMed]
  61. Salman, Ali, and Yi-Hui Lee. 2019. Spiritual Practices and Effects of Spiritual Well-Being and Depression on Elders’ Self-Perceived Health. Applied Nursing Research 48: 68–74. [Google Scholar] [CrossRef]
  62. Santini, Ziggi Ivan, Paul E. Jose, Erin York Cornwell, Ai Koyanagi, Line Nielsen, Carsten Hinrichsen, Charlotte Meilstrup, Katrine R. Madsen, and Vibeke Koushede. 2020. Social Disconnectedness, Perceived Isolation, and Symptoms of Depression and Anxiety among Older Americans (NSHAP): A Longitudinal Mediation Analysis. The Lancet Public Health 5: e62–70. [Google Scholar] [CrossRef] [Green Version]
  63. Seryczyńska, Berenika, Lluis Oviedo, Piotr Roszak, Suvi-Maria Katariina Saarelainen, Hilla Inkilä, Josefa Torralba Albaladejo, and Francis-Vincent Anthony. 2021. Religious Capital as a Central Factor in Coping with the Covid-19 Clues from an International Survey. European Journal of Science and Theology 17: 43–56. [Google Scholar]
  64. Scheim, Ayden I., and Greta R. Bauer. 2019. The Intersectional Discrimination Index: Development and Validation of Measures of Self-Reported Enacted and Anticipated Discrimination for Intercategorical Analysis. Social Science & Medicine 226: 225–35. [Google Scholar] [CrossRef]
  65. Sibley, Chris G., Lara Greaves, Nicole Satherley, Marc Wilson, Nickola Overall, Carol Lee, Petar Milojev, Joseph A. Bulbulia, Danny Osborne, Taciano L. Milfont, and et al. 2020. Effects of the COVID-19 Pandemic and Nationwide Lockdown on Trust, Attitudes towards Government, and Wellbeing. Preprint. PsyArXiv. Available online: https://doi.org/10.31234/osf.io/cx6qa (accessed on 20 August 2020).
  66. Siedlecki, Karen L., Timothy A. Salthouse, Shigehiro Oishi, and Sheena Jeswani. 2014. The Relationship Between Social Support and Subjective Well-Being Across Age. Social Indicators Research 117: 561–76. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  67. Song, Kangxing, Tao Li, Dan Luo, Fengsu Hou, Fengying Bi, Terry D. Stratton, Voyko Kavcic, Rong Jiao, Rui Xu, Shiyan Yan, and et al. 2020. Psychological Stress and Gender Differences during COVID-19 Pandemic in Chinese Population. Preprint. Epidemiology. Available online: https://doi.org/10.1101/2020.04.29.20084061 (accessed on 20 August 2020).
  68. Sultan, Sarwat, Sana Khurram, and Irshad Hussain. 2018. Determinants of Life Meaningfulness among Recovering Substance Users. FWU Journal of Social Sciences 12: 112–22. [Google Scholar]
  69. Thomas, Justin, and Mariapaola Barbato. 2020. Positive Religious Coping and Mental Health among Christians and Muslims in Response to the COVID-19 Pandemic. Religions 11: 498. [Google Scholar] [CrossRef]
  70. Tiwari, Gyanesh Kumar, Anil Kumar Kashyap, Pramod Kumar Rai, Raghavendra Prasad Tiwari, and Ruchi Pandey. 2020. The Collective-Affirmation in Action: Understanding the Success of Lockdown in India after the Outbreak of COVID-19. Preprint. Preprints. Available online: https://doi.org/10.22541/au.158949202.27402247 (accessed on 20 August 2020).
  71. Trevino, Kelly M., Kenneth I. Pargament, Sian Cotton, Anthony C. Leonard, June Hahn, Carol Ann Caprini-Faigin, and Joel Tsevat. 2010. Religious Coping and Physiological, Psychological, Social, and Spiritual Outcomes in Patients with HIV/AIDS: Cross-Sectional and Longitudinal Findings. AIDS and Behavior 14: 379–89. [Google Scholar] [CrossRef] [PubMed]
  72. Turan, Janet M., Melissa A. Elafros, Carmen H. Logie, Swagata Banik, Bulent Turan, Kaylee B. Crockett, Bernice Pescosolido, and Sarah M. Murray. 2019. Challenges and Opportunities in Examining and Addressing Intersectional Stigma and Health. BMC Medicine 17: 7. [Google Scholar] [CrossRef] [Green Version]
  73. Van Dam, Nicholas T., Sean C. Sheppard, John P. Forsyth, and Mitch Earleywine. 2011. Self-Compassion Is a Better Predictor than Mindfulness of Symptom Severity and Quality of Life in Mixed Anxiety and Depression. Journal of Anxiety Disorders 25: 123–30. [Google Scholar] [CrossRef]
  74. Van Selm, Martine, and Nicholas W. Jankowski. 2006. Conducting Online Surveys. Quality and Quantity 40: 435–56. [Google Scholar] [CrossRef]
  75. Velarde-Mayol, C., S. Fragua-Gil, and J. M. García-de-Cecilia. 2016. Validation of the UCLA loneliness scale in an elderly population that live alone. SEMERGEN 42: 177–83. [Google Scholar] [CrossRef]
  76. Wang, Cuiyan, Riyu Pan, Xiaoyang Wan, Yilin Tan, Linkang Xu, Cyrus S. Ho, and Roger C. Ho. 2020. Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China. International Journal of Environmental Research and Public Health 17: 1729. [Google Scholar] [CrossRef] [Green Version]
  77. Weaver, Andrew J., Kenneth I. Pargament, Kevin J. Flannelly, and Julia E. Oppenheimer. 2006. Trends in the Scientific Study of Religion, Spirituality, and Health: 1965–2000. Journal of Religion and Health 45: 208–14. [Google Scholar] [CrossRef]
  78. Wenham, Clare, Julia Smith, and Rosemary Morgan. 2020. COVID-19: The Gendered Impacts of the Outbreak. The Lancet 395: 846–48. [Google Scholar] [CrossRef] [Green Version]
  79. Xiao, Chunfeng. 2020. A Novel Approach of Consultation on 2019 Novel Coronavirus (COVID-19)-Related Psychological and Mental Problems: Structured Letter Therapy. Psychiatry Investigation 17: 175–76. [Google Scholar] [CrossRef] [Green Version]
  80. Yamada, Ann-Marie, David Lukoff, Caroline S. F. Lim, and Laura L. Mancuso. 2020. Integrating Spirituality and Mental Health: Perspectives of Adults Receiving Public Mental Health Services in California. Psychology of Religion and Spirituality 12: 276–87. [Google Scholar] [CrossRef]
  81. Zhang, Jun, Weili Wu, Xin Zhao, and Wei Zhang. 2020. Recommended Psychological Crisis Intervention Response to the 2019 Novel Coronavirus Pneumonia Outbreak in China: A Model of West China Hospital. Precision Clinical Medicine 3: 3–8. [Google Scholar] [CrossRef] [Green Version]
  82. Zimet, Gregory D., Nancy W. Dahlem, Sara G. Zimet, and Gordon K. Farley. 1988. The Multidimensional Scale of Perceived Social Support. Journal of Personality Assessment 52: 30–41. [Google Scholar] [CrossRef] [Green Version]
  83. Zinnbauer, Brian J., Kenneth I. Pargament, and Allie B. Scott. 1999. The Emerging Meanings of Religiousness and Spirituality: Problems and Prospects. Journal of Personality 67: 889–919. [Google Scholar] [CrossRef]
Table 3. Association between COVID-19 variables and peace and meaning.
Table 3. Association between COVID-19 variables and peace and meaning.
Variablesn (%)BB (95% CI 1)BSTDR2
COVID-19 symptoms 0.005 ***
No3001 (86.1)---------
Yes486 (13.9)−0.678 ***(−0.99; −0.36)−0.206
COVID-19 relative diagnosis 0.001 *
No2500 (71.7)---------
Yes987 (28.3)−0.273 *(−0.5; −0.03)−0.083
Information received about COVID-19 0.022 ***
Not Enough617 (17.7)---------
Good2006 (57.5)1.025 ***(0.73; 1.32)0.312
Overinformed864 (24.8)0.031(−0.31; 0.37)0.009
Mode of employment during COVID-19 0.014 ***
Non applicable1416 (40.6)---------
Face-to-face employment571 (16.4)0.834 ***(0.52; 1.15)0.253
Work from home1500 (43)0.792 ***(0.55; 1.03)0.241
1 CI = confidence interval. * p < 0.05, *** p < 0.001.
Table 4. Association between psychosocial variables and peace and meaning.
Table 4. Association between psychosocial variables and peace and meaning.
VariableMean (SD)BB (95% CI 1)BSTDR2
Social Support51.705 (8.6)0.174 ***(0.16; 0.19)0.4540.206 ***
SS-Friends17.256 (3.4)0.293 ***(0.26; 0.32)0.3020.091 ***
SS-Family17.328 (3.35)0.426 ***(0.40; 0.46)0.4340.188 ***
SS-Relevant people17.51 (3.43)0.351 ***(0.32; 0.38)0.3660.134 ***
Loneliness4.553 (1.63)−0.909 ***(−0.97; −0.85)−0.4510.203 ***
Discrimination0.48 (1.3)−0.459 ***(−0.54; −0.38)−0.1820.033 ***
Sense of belonging7.765 (1.97)0.418 ***(0.36; 0.47)0.2500.062 ***
Self-Compassion21.617 (5.08)0.378 ***(0.36; 0.40)0.5840.341 ***
SC-Self-kindness7.091 (1.88)0.991 ***(0.94; 1.04)0.5660.320 ***
SC-Common humanity7.108 (1.92)0.827 ***(0.78; 0.88)0.4820.232 ***
SC-Mindfulness7.418 (1.92)0.880 ***(0.83; 0.93)0.5130.262 ***
1 CI = confidence interval. *** p < 0.001.
Table 5. Linear regression models for peace and meaning.
Table 5. Linear regression models for peace and meaning.
VariableBSEBSTD
SC-Self-kindness 10.509 ***0.0310.291
SS-Family 20.206 ***0.0130.211
Loneliness−0.913 ***0.062−0.207
SC-Mindfulness 10.291 ***0.0300.169
Sense of belonging0.206 ***0.0230.116
R2 adj: 0.470 ***
F(5, 3380) = 603.1; p < 0.001
1 Self-Compassion. 2 Social Support. *** p < 0.001.
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Saiz, J.; Ausín, B.; González-Sanguino, C.; Castellanos, M.Á.; Salazar, M.; Marin, C.; López-Gómez, A.; Ugidos, C.; Muñoz, M. Self-Compassion and Social Connectedness as Predictors of “Peace and Meaning” during Spain’s Initial COVID-19 Lockdown. Religions 2021, 12, 683. https://doi.org/10.3390/rel12090683

AMA Style

Saiz J, Ausín B, González-Sanguino C, Castellanos MÁ, Salazar M, Marin C, López-Gómez A, Ugidos C, Muñoz M. Self-Compassion and Social Connectedness as Predictors of “Peace and Meaning” during Spain’s Initial COVID-19 Lockdown. Religions. 2021; 12(9):683. https://doi.org/10.3390/rel12090683

Chicago/Turabian Style

Saiz, Jesús, Berta Ausín, Clara González-Sanguino, Miguel Ángel Castellanos, María Salazar, Carolina Marin, Aída López-Gómez, Carolina Ugidos, and Manuel Muñoz. 2021. "Self-Compassion and Social Connectedness as Predictors of “Peace and Meaning” during Spain’s Initial COVID-19 Lockdown" Religions 12, no. 9: 683. https://doi.org/10.3390/rel12090683

APA Style

Saiz, J., Ausín, B., González-Sanguino, C., Castellanos, M. Á., Salazar, M., Marin, C., López-Gómez, A., Ugidos, C., & Muñoz, M. (2021). Self-Compassion and Social Connectedness as Predictors of “Peace and Meaning” during Spain’s Initial COVID-19 Lockdown. Religions, 12(9), 683. https://doi.org/10.3390/rel12090683

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