Daniel T. L. Shek
Wen-yu Chai
Tingyin Wong
Kaiji Zhou- Department of Applied Social Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
Introduction: There are very few studies examining the psychological well-being of university students in Hong Kong under the COVID-19 pandemic. Besides COVID-19-related stress, the “social event” in 2019-2020 has caused significant stress in young people. As such, we attempted to answer several research questions in this paper. First, what are the relationships between stresses (COVID-19 and “social event” related stresses) and psychological well-being indexed by depressive symptoms? Based on the stress and coping perspective, we predicted that there would be positive relationships between both types of stress and depression. Second, what are the relationships between different positive psychological factors (including life satisfaction, resilience and emotional management, flourishing, and beliefs about adversity) and depression? Based on different theoretical models of positive psychology, we hypothesized that negative relationships would exist between positive psychological factors and depressive symptoms. Third, do positive psychological attributes moderate the associations between stresses (COVID-19 and “social event” related stresses) and depressive symptoms? Based on the positive psychology literature, we hypothesized that positive psychological attributes would buffer the negative impact of stresses on depression.
Methods: We recruited university students roughly one year after the first wave of the pandemic (N = 1,648) in early 2021. We used 25 items to measure COVID-19-related stress and “social event” related stress. For psychological well-being indexed by depressive symptoms, we used the “Centre for Epidemiologic Studies Depression Scale Revised (CESD-R)”. For positive psychological attributes, we employed established measures of life satisfaction, resilience and emotional management, flourishing, and beliefs about adversity.
Results: Regarding the relationship between stress and depression, we found positive relationships between both types of stress and depressive symptoms. As predicted, negative relationships existed between all positive psychological attributes and depressive symptoms. Besides, the positive psychological attributes significantly moderated the effects of stresses on depression, suggesting that these factors can reduce the negative impacts of stresses on depression. The present findings provide support for those models, highlighting the importance of positive psychological attributes as protective factors for university students’ depression.
Discussion: The findings of this study underscore the important role of positive psychological attributes in the stress-depression relationship in university students under the pandemic. The findings also generalize the positive youth development theory in the Chinese context. In terms of practice, university administrators and service providers should consider cultivating positive psychological attributes in university students with the purpose of promoting their psychological well-being.
1. Introduction
The 2019 coronavirus disease (COVID-19) pandemic has raised significant challenges to people all over the world. Particularly, university students face significant challenges and difficulties under the pandemic due to the lockdown policies, school closure, and drastic change from face-to-face learning to online learning (Nassr et al., 2020; Schiff et al., 2021). All these challenges, together with worries about the disease, would cause high stress in college students and further harm their mental health, such as leading to depressive symptoms. However, there are very few studies on the association between pandemic-related stress and depression in university students, as well as the protective factors involved. With particular reference to Hong Kong, besides stress arising from the COVID-19, the “social event” in 2019–2020 is also a significant stressor for people in Hong Kong (Shek, 2020). Hence, it is necessary to understand the associations between both stresses (i.e., COVID-19 and “social event” related stresses) and mental health in university students. In view of this research gap, this study examined the relationships between stresses from the pandemic and “social event” and mental health (indexed by depression) as well as the moderating effects of positive psychological factors on the stress-mental health relationships in Hong Kong university students.
2. Literature review
2.1. COVID-19 and “social event” related stresses and depression
Literature shows that COVID-19 stress is positively related to depressive symptoms among different samples of populations and in adolescents and college students. In US adults, Ettman et al. (2020) found that low social and economic resources and high exposure to stressors during the pandemic were associated with a higher risk of depression. In the general population in the Philippines, Tee et al. (2020) revealed that 16.3% of their research participants rated moderate-to-severe psychological impact from the COVID-19 outbreak and 16.9% of the participants showed moderate-to-severe levels of depression. In adolescents, Ellis et al. (2020) reported that COVID-19 stress was associated with increased loneliness and depressive symptoms. In college students, Lu et al. (2022) found that COVID-19 stress was positively associated with symptoms of depression. Galanza et al. (2021) showed that COVID-19-related fear predicted three mental illness indicators, including depression, stress, and anxiety. In addition, Rudenstine et al. (2021) revealed that increased exposure to pandemic-related stressors predicted symptoms of depression and anxiety.
Besides adolescents and university students, studies also showed that pandemic stress was related to mental health, particularly depression, in other groups of people. Filippetti et al. (2022) and Lebel et al. (2020) revealed that COVID-19 stress was positively associated with symptoms of anxiety and depression in pregnant women. Fong et al. (2022) found that high levels of perceived COVID-19 impact, perceived stress, anxiety, and caregiving burden were associated with probable depression of caregivers of persons with dementia. However, in emerging adults, Kujawa et al. (2020) examined the relationship between perceived COVID-19-related stress and mental distress over time and found that baseline stress did not predict changes in anxiety and depressive symptoms at Wave 2, suggesting that COVID-19 stress may not have a long-term influence on individuals’ mental health.
In the Hong Kong context, there are studies investigating the influence of both COVID-19-related stress and social-unrest-related stress on the psychological health of Hong Kong people. Wong et al. (2021) examined the impact of “social-unrest-related traumatic events (TEs),” “pandemic-related events (PEs),” and “personal stressful life events (SLEs)” on individual depressive and post-traumatic stress disorder (PTSD) symptoms. The study showed that TEs, SLEs, and rumination predicted PTSD symptoms, while PEs, SLEs, and rumination predicted depressive symptoms. Hou W. K. et al. (2021) studied the joint effect of COVID-19 and the social unrest on Chinese residents’ anxiety and depressive symptoms between February and May 2020. They found strong associations between stresses arising from both the social unrest and COVID-19 and symptoms of anxiety and depression. Based on four waves of data collected from July 2019 to August 2020, Hou et al. (2022) also revealed that stresses related to both the social unrest and the pandemic were associated with probable anxiety and depression. While these studies examined the effects of both social unrest stress and COVID-19 stress on depression, they mainly focused on community and adult samples but not university student samples. In addition, these studies did not examine the moderating effect of positive psychological attributes in the relationships between stress and mental health. As university students are a highly vulnerable group under the pandemic (e.g., school closure) and social movement (e.g., physical or psychological involvement), it is important and necessary to examine the predictive effects of stresses arising from both COVID-19 and the “social event” on depression in Hong Kong university students. In addition, it is important to understand the protective role of positive psychological attributes in the relationships.
2.2. Positive psychological factors and depression
Positive psychology stresses that psychology should not only focus on mental problems because strengths and positive qualities in human beings are important (Seligman and Csikszentmihalyi, 2000). Scholars promoting positive psychology also argue that psychological strengths are essential in promoting human well-being and in prevention of illness (Gable and Haidt, 2005). Conceptually, beliefs about adversity (including hope and optimism), psychosocial competence (resilience and emotional competence), flourishing, and life satisfaction are foundational elements in positive psychology (e.g., Seligman and Csikszentmihalyi, 2000; Yates et al., 2015; Compton and Hoffman, 2019). Typically, life satisfaction is regarded as an important adolescent developmental outcome measure. However, it is also regarded by researchers in positive psychology as a factor that predicts, mediates, or moderates the relationship between adolescent experience and well-being (Gilman and Huebner, 2003; Huebner et al., 2006). There are studies showing that life satisfaction is a mediator shaping psychological well-being outcomes (Shek and Li, 2016; Lopez-Zafra et al., 2019; Zhou et al., 2020). Therefore, these four attributes were adopted as indicators of positive psychological attributes in the present study.
2.2.1. Beliefs about adversity and depression under the pandemic
Previous studies showed that beliefs about adversity, such as hope and optimism, are associated with lower levels of depression under the pandemic (Shek et al., 2022a,b). Marciano et al. (2022) reported that hope had a stronger and more consistent predictive power than did health, economic, security, and political threats on individuals’ well-being, including depressive symptoms. Schug et al. (2021) reported that social support and optimism had associations with low levels of depression and generalized anxiety. In addition, scholars found a negative association between trait optimism and depressive symptoms amid the pandemic. Dillard et al. (2022) reported that higher trait optimism was related to lower levels of perceived pandemic-related impact and depressive symptoms in women. Riepenhausen et al. (2022) observed that trait optimism significantly predicted changes in depressive and anxiety symptoms in German people before and during the pandemic.
Researchers have also reported the moderating role of hope and optimism in the relationship between COVID-19 stress and depression. For example, Haddad et al. (2021) showed that optimism could reduce the negative effect of problematic social media use on mental health during the pandemic. Hou L. L. et al. (2021) also reported that dispositional optimism moderated the influences of quarantine length on worry and anticipation on depression. Goh et al. (2022) found that hope moderated the relationship between job loss and depressive symptoms of mothers in financially disadvantaged families during the pandemic. On the other hand, Kuhlman et al. (2021) did not identify evidence for the moderating function of optimism in relationship between COVID-19-related impact (pandemic-related concern and events) and psychosocial outcomes (depression, anxiety, aggression, and sleep quality).
2.2.2. Psychosocial competence (resilience and emotional competence) under the pandemic
Studies based on different populations generally suggested that resilience was negatively related to depression amid the COVID-19 pandemic. Using data collected through social media, Karasar and Canli (2020) found that psychological resilience was negatively correlated with depression. Zhang et al. (2020) revealed that resilience was inversely associated with psychological morbidity and could act as a protective factor against depression and anxiety in patients with mild COVID-19 symptoms in Wuhan, China. Matsumoto et al. (2022) showed that low psychological resilience was related to depression in elderly with mild cognitive impairment under the pandemic. In addition, Schmitt et al. (2021) found that Brazilian participants with higher levels of resilience showed lower levels of depression.
Studies also showed that resilience moderated the association between pandemic stressors and depression. Chan et al. (2021) showed that stronger individual resilience reduced the adverse effect of pandemic stressors on depressive symptoms. Vos et al. (2021) revealed that COVID-19-related fear was positively linked with depression, stress, and anxiety, while the adverse effect on mental health was reduced by high levels of resilience, mindfulness, and optimism. Yildirim et al. (2022) also showed that perceived risk and COVID-19-related fear could positively predict depression, stress, and anxiety, but resilience reduced the effect of pandemic-related fear on mental distress. However, some other studies have failed to detect the moderating effect of resilience in the COVID-19 stress-depression relationship (e.g., Traunmuller et al., 2021).
2.2.3. Flourishing and depression under the pandemic
Past research has shown the protective role of flourishing in the mental health of different groups of people under the pandemic. For children, Jang et al. (2020) revealed that flourishing negatively predicted children’s levels of depression. Liu and Wang (2021) examined perceived stress of COVID-19, character strengths (a measure of flourishing), and depression in adolescents. They found that character strengths moderated the influence of pandemic-related stress on depressive symptoms. Based on longitudinal data collected from three cohorts of adults, Burns et al. (2022) concluded that, together with moderate well-being, “flourishing conferred protection against any depression and mental health symptoms in all age cohorts in comparison with languishers (i.e., those with low well-being)” (p. 6). Investigating workers’ mental health during the pandemic, Mendonca et al. (2022) also showed that flourishing played a protective role against mental distress (e.g., depression, stress, and anxiety) in different work situations. Despite a number of existing studies in this field, the direct evidence of the protective effect of flourishing against depression among university students during the pandemic is rare.
2.2.4. Life satisfaction and depression under the pandemic
Studies generally showed that life satisfaction was negatively associated with depression. In adolescents, Kaya and McCabe (2022) reported that adolescents with higher-level depression had higher-level loneliness and lower-level life satisfaction. In Brazilian college students, Lopes and Nihei (2021) also showed a negative relation between depressive symptoms and life satisfaction, suggesting that life satisfaction could act as a protective factor for students’ mental health. Based on adults working in nursing home during the pandemic, Navarro-Prados et al. (2022) showed that resilience, satisfaction with life, and personal accomplishment related negatively with depression and emotional exhaustion.
Besides a direct relationship between life satisfaction and depression, studies also showed that life satisfaction mediated the association between COVID-19 stresses and depression. For example, Tamarit et al. (2022) revealed that resilience and life satisfaction mediated the association between pandemic-related worries and negative emotional symptoms (depression, anxiety, and stress). Coello et al. (2022) also showed that life satisfaction had a mediating role in the relationship between pandemic-related worries and depression, anxiety, and stress. Satici et al. (2021) showed that depressive symptoms mediated the link between fear of the pandemic and life satisfaction. Interestingly, there are very few studies examining the moderating function of life satisfaction in the COVID-19 stress-mental health association.
3. The present study
Based on the review of existing literature, there are several research gaps. First, as many studies focused on adults or other groups of people, there was inadequate research on adolescents and university students. Second, as many existing studies are Western studies, there was inadequate research conducted in non-Western contexts. Third, with regard to the moderating function of different positive psychological factors such as resilience, there are inconclusive findings. Fourth, there are few studies investigating the predictive effect of both stresses (i.e., stresses related to COVID-19 and the “social event”) on depression. In view of the research gap, this study attempted to investigate the predictive role of stresses from the pandemic and the “social event” in depression in Chinese university students and the moderating role of positive psychological factors. Specifically, in this study, we asked three research questions:
Research Question 1: What are the associations between stresses arising from COVID-19 and from the “social event” and depression? According to the literature, we hypothesized that both types of stresses would be positively associated with depression (Hypotheses 1a and 1b).
Research Question 2: What are the associations between positive psychological attributes (indexed by life satisfaction, flourishing, beliefs of adversity, and resilience and emotional competence) and depression? The above discussion suggests that negative associations would exist between positive psychological attributes and depression (Hypothesis 2).
Research Question 3: Do positive psychological attributes moderate the negative impacts of stresses from COVID-19 and from the “social event” on depression? Based on the literature on protective factors, we expected that under lower levels of positive psychological attributes, the linkage between both stresses and depression would be stronger than the linkage under higher levels of positive psychological attributes (Hypotheses 3a and 3b).
4. Methods
4.1. Participants and procedure
Between January and March 2021, students from undergraduate programs in one public university in Hong Kong were invited to do an online survey questionnaire through Qualtrics XM (an online survey platform; Shek et al., 2022a,b). Due to difficulties of conducting random sampling during the pandemic, method of quota sampling was adopted to recruit participants based on two characteristics- faculty and year of study. Quota sampling method has been adopted in many research studies on psychology (Hungin et al., 2003; Nicolai et al., 2022). While it was criticized as having bias and difficulty in generalizability, it has the benefits of being cost-effective (Sharma, 2017). Besides, there are many studies that are based on a single university on the scientific literature (e.g., Mant et al., 2021; Fung et al., 2022; Yu et al., 2022).
We had obtained approval from the Institutional Review Board before we collected the data. Prior to responding to the online questionnaire, participants were informed of the purpose of the study and data confidentiality. The research team also obtained formal consent from each participant. After the survey, each student received a HK$100 supermarket coupon for appreciating his/her participation. A total of 1,648 participants (mean age = 20.09 ± 1.37) completed the survey. There were 696 (42.2%) males and 854 (51.8%) females (98 [5.9%] missing); 35 (2.1%) students indicated their student status as “international” (including those from mainland China) and 1,613 (97.9%) students reported their student status as “local.”
4.2. Measures
4.2.1. Stress due to COVID-19 scale (COVID-19 stress scale)
Stress due to COVID-19 was assessed by a self-developed scale. This scale assesses three aspects with 15 items, including worries one may have about the pandemic-related danger and contamination (five items), the perceived pandemic-related socio-economic consequences (five items), and one’s checking behavior because of concerns about COVID-19 (five items), with reference to the work of Taylor et al. (2020). For each item, participants indicated their answers on a scale with five points (“0” = “Not at all” to “4” = “Always”). The composite score of this scale was calculated based on an average of all item scores. Table 1 shows the items in the scale.
Table 1. Items of the COVID-19 stress scale and the scale of stress due to “social event” (SEI).
4.2.2. Stress due to social event
Stress due to the “social event” in Hong Kong (SEI) was assessed by a self-developed scale. This 10-item measure includes two dimensions regarding one’s worries about the “social event” (seven items) and concerns about the “social event” (three items). For each item, participants indicated their answers on a scale with five points (“0” = “Not at all” to “4” = “Always”). The composite score of this scale was calculated based on an average of all item scores. The items of the scale are shown in Table 1.
4.2.3. Depression (CESD-R)
Participants’ depressive symptoms were assessed by the “Centre for Epidemiological Studies Depression Scale Revised (CESD-R).” Through nine symptom categories, CESD-R measures depressive disorder based on the criteria defined in the “American Psychiatric Association Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V)” (Radloff, 1977; Eaton et al., 2004). The construct was adopted in many previous studies and showed good psychometric properties (Van Dam and Earleywine, 2011; Ip et al., 2016; Li et al., 2019). For each item, students needed to report to what extent they feel/behave in the described way with a five-point scale (“0” = “Not at all or less than 1 day” to “4” = “Nearly every day for 2 weeks”). The composite score was the sum of scores of all items.
4.2.4. Beliefs of adversity
Beliefs of adversity (BA) was examined by the “Chinese Cultural Beliefs about Adversity Scale” (Shek, 2004). This scale includes a total of nine items (seven items reflect positive traditional Chinese values related to adversity; two items reflect negative Chinese values related to adversity). These values are basically related to optimistic and hopeful beliefs about adversity. All the items were evaluated on a measure with six points (“1” = “Strongly disagree” to “6” = “Strongly agree”). The composite score was obtained by averaging all question scores (with the scores of the two items for negative beliefs being reversed).
4.2.5. Psychosocial competence (resilience and emotional competence: REC)
Two subscales (resilience: three items; emotional competence: three items) in the “Chinese Positive Youth Development Scale (CPYDS)” (Shek et al., 2007) were used to assess resilience and emotional competence. For each question, each student was invited to report to what degree he/she agrees or does not agree with the statement on a measure with six points (“1” = “Strongly disagree” to “6” = “Strongly agree”). The composite score was obtained by averaging all question scores.
4.2.6. Flourishing
University students’ Flourishing (FH) was measured by the “Flourishing Scale (FS)” comprised of eight items regarding a person’s self-perceived performance in multiple domains, including interpersonal relationship, meaning of life, healthy functioning, self-esteem, and so on (Diener et al., 2010; Li et al., 2020). For each item, one was required to report to what degree one agrees with the statement on a measure of six points (“1” = “Strongly disagree” to “7” = “Strongly agree”). The scale composite score was the mean of all question scores.
4.2.7. Life satisfaction
Life satisfaction (LS) was assessed through the “Satisfaction With Life Scale (SWLS)” (Diener et al., 1985; Lin and Shek, 2019). The SWLS measures a person’s general satisfaction with life. It includes five items evaluated on a scale of six points (“1” = “Strongly disagree” to “6” = “Strongly agree”). The average score of all items was generated as the total score.
4.3. Data analysis plan
First, we computed mean score, standard deviation, Cronbach’s α coefficient, and mean inter-item correlation of each major variable. Then, separate multiple regression analyses were conducted to test the predictive effects of the COVID-19 Stress Scale, SEI, and the four positive psychological attributes on depression, with covariates (gender, student status [local vs. international], and age) being statistically controlled. Third, hierarchical multiple regression analyses were conducted to examine the moderating effect of positive psychological attributes on predictive effects of the COVID-19 Stress Scale and SEI on depression, respectively, with control of the covariates. Based on the conceptual framework that the four positive psychological attributes (BA, REC, FH, and LS) are foundational elements in positive psychology, we adopted the composite score of positive psychological attributes (POS; average of the mean scores of the four positive psychological attributes) as the moderator in the analyses. Bootstrapped bias-corrected (BC) 95% confidence intervals (CIs) for regression coefficients were also computed (2,000 re-samplings; Hayes, 2013).
5. Results
5.1. Descriptive profile, reliability, and correlations
Table 2 shows the descriptive profile and reliability of the variables covered in this study. The Cronbach’s α for different variables ranged between 0.73 and 0.96. The variable correlations are shown in Table 3. The COVID-19 Stress Scale (r = 0.35, p < 0.001) and SEI (r = 0.20, p < 0.001) were positively correlated with depression, while depression was negatively correlated with POS and all the individual positive attributes (rs = −0.41 to-0.26, ps < 0.001). Positive correlation existed among all positive attributes (rs = 0.30 to 0.69, ps < 0.001) and between positive attributes and POS (rs = 0.70 to 0.91, ps < 0.001). In addition, gender and student status were associated with most of the major variables (rs = −0.14 to 0.08, ps < 0.05) except for LS and COVID-19 Stress Scale. Age was significantly correlated with depression, LS and REC (rs = −0.08 to 0.06, ps < 0.05). We controlled for the effects of gender, student status, and age in the regression analyses. Given the relatively high correlations among positive variables, discrete multiple regression analyses were done in the next step to avoid multicollinearity.
Table 2. Mean (M), standard deviation (SD), Cronbach’s α, and mean inter-item correlation of variables.
Table 3. Correlations among variables.
5.2. Multiple regression analyses
Table 4 shows the results of discrete multiple regression analyses of the predictive effects of COVID-19 Stress Scale, SEI, and the four positive psychological attributes on depression. After controlling for effects of gender, student status, and age, COVID-19 Stress and SEI significantly and positively predicted depression (COVID-19 Stress: B = 6.77, BC 95%CI = [5.61, 7.90], β = 0.31, p < 0.001, Cohen’s f2 = 0.091; SEI: B = 1.12, BC 95%CI = [0.20, 2.02], β = 0.06, p < 0.05, Cohen’s f2 = 0.003). All positive psychological factors, REC (B = −7.20, BC 95%CI = [−8.08, −6.36], β = −0.37, p < 0.001, Cohen’s f2 = 0.178), BA (B = −8.20, BC 95%CI = [−9.20, −7.23], β = −0.35, p < 0.001, Cohen’s f2 = 0.157), FH (B = −5.30, BC 95%CI = [−5.93, −4.67], β = −0.35, p < 0.001, Cohen’s f2 = 0.160), and LS (B = −3.75, BC 95%CI = [−4.47, −3.06], β = −0.23, p < 0.001, Cohen’s f2 = 0.065), significantly and negatively predicted depression.
Table 4. Discrete multiple regression analyses for the predicting effects of COVID-19 stress and stress due to social event and positive psychological factors on depression.
Table 5 shows the results of multiple regression analyses of the predicting effects of COVID-19 stress, POS, and their interaction on depression. After controlling for effects of gender, student status, and age, COVID-19 Stress significantly and positively predicted depression (B = 6.82, BC 95%CI = [5.92, 7.74], β = 0.31, p < 0.001, Cohen’s f2 = 0.135), and POS negatively predicted depression (B = −8.89, BC 95%CI = [−9.95, −7.89], β = −0.40, p < 0.001, Cohen’s f2 = 0.214). The predicting effect of the interaction between COVID-19 stress and POS was significant (B = −0.77, BC 95%CI = [−1.36, −0.16], β = −0.06, p < 0.01, Cohen’s f2 = 0.005), indicating that the predicting effect of COVID-19 stress on depression was moderated by POS. Specifically, the predictive effect of COVID-19 stress on depression was stronger among the participants with lower POS (−1 SD; B = 7.94, BC 95%CI = [5.25, 10.50], p < 0.001) than that among the participants with higher POS (+1 SD; B = 5.07, BC 95%CI = [3.43, 6.83], p < 0.001). Figure 1 shows the moderating effect graphically.
Table 5. Multiple regression analyses for the moderating effect of composite positive psychological factors (POS) on the relationship between COVID-19 Stress and depression.
Figure 1. Moderating effect of composite positive psychological factors (POS) on the relationship between COVID-19 Stress and depression.
Table 6 shows the results of multiple regression analyses of the predictive effects of SEI, POS, and their interaction on depression. After controlling for effects of gender, student status, and age, SEI positively predicted depression (B = 3.62, BC 95%CI = [2.76, 4.38], β = 0.20, p < 0.001, Cohen’s f2 = 0.049), and POS negatively predicted depression (B = −9.35, BC 95%CI = [−10.35, −8.41], β = −0.42, p < 0.001, Cohen’s f2 = 0.219). The predicting effect of the interaction between SEI and POS was significant (B = −0.89, BC 95%CI = [−1.46, −0.20], β = −0.07, p < 0.01, Cohen’s f2 = 0.006). This indicates that the predictive effect of SEI on depression was moderated by POS. Specifically, the predicting effect of SEI on depression was stronger among participants with lower POS (−1 SD; B = 5.56, BC 95%CI = [3.63, 7.54], p < 0.001) than that among participants with higher POS (+1 SD; B = 3.30, BC 95%CI = [2.13, 4.53], p < 0.001). Figure 2 shows the moderating effect graphically.
Table 6. Multiple regression analyses for the moderating effect of composite positive psychological factors (POS) on the relationship between stress due to social event (SEI) and depression.
Figure 2. Moderating effect of composite positive psychological factors (POS) on the relationship between stress due to social event and depression.
6. Discussion
There are few studies on university students’ mental health and its risk and protective factors in Hong Kong during the COVID-19 pandemic. The present study investigated the predictive role of stresses related to the pandemic and the “social event” in depression in Hong Kong university students and the moderating function of positive psychological factors in the stress-mental health relationships. The study has several conceptual advances and unique contributions. First, while the existing literature mainly focuses on the association between pandemic-related stress and mental health problems such as depression, there are few studies investigating the predictive effects of stresses from both the pandemic and the “social event.” In fact, Hong Kong has not only experienced (and is experiencing) the event of pandemic, Hong Kong people has also undergone the “social event” and its aftermath. Hence, we should understand the impact of such stresses on student mental health. Second, while some studies (e.g., Wong et al., 2021) examined both stresses from the pandemic and the “social event” on mental health, they mainly focused on adults and community samples but not university students. Besides, these studies did not examine the moderating effect of positive psychological attributes on the stress-mental health relationship. Third, instead of focusing on one or two positive psychological attributes, we used a set of positive psychological constructs, including beliefs of adversity, psychosocial competence, flourishing, and life satisfaction.
Methodologically, there are several strengths of this study. First, it employed a large sample size that would yield more reliable results. Second, as many existing studies were conducted in Western societies, there is a need to understand the situation and examine the hypothesized relationship in non-Western contexts. By focusing on Hong Kong university students, the present study contributes to existing literature in a non-Western context.
Results of the present study support Hypotheses 1a and 1b, suggesting that students’ stresses related to COVID-19 and the “social event” positively predicted depression. This observation is in line with the existing literature arguing that COVID-19-related stress or stressors were associated with increased depression in adolescents (Ellis et al., 2020) and university students (Rudenstine et al., 2021; Lu et al., 2022). However, it is noteworthy that there are inconsistent findings in the literature. For example, a two-wave study on emerging adults showed that baseline pandemic-related stress did not predict the change in depression over time (Kujawa et al., 2020). Besides, while the predictive role of stress on depression has been well established in existing literature (Hammen, 2015), whether the pandemic-related stress also predicts depression has not been adequately studied. Thus, findings from this study provide further support to the positive association between COVID-19-related stress and depression in university students.
Regarding the association between social-unrest-related stress and depression, there are few existing studies as well as inconsistent findings. Wong et al. (2021)’s study on Hong Kong community members showed that depressive symptoms were predicted by pandemic-related stress but not social-unrest-related stress. However, the two studies conducted by Hou W. K. et al. (2021, 2022) based on large samples of Hong Kong residents showed both pandemic-related and social-unrest-related stresses predicted higher depression. In view of the presence of the “social event” and the pandemic in Hong Kong in recent years, the present study provides significant empirical evidence for the positive predictive role of both stresses on depression in Hong Kong university students.
Findings of this study support Hypothesis 2, suggesting negative predictive relationships between positive psychological factors and depression. Specifically, findings revealed that beliefs of adversity, resilience and emotional competence, flourishing, and life satisfaction negatively predicted depression in university students during the pandemic. The findings extend and contribute to the existing literature. Firstly, the findings add further evidence to the existing literature on the negative predictive effect of life satisfaction, resilience, and emotional competence on depression. For example, both cross-sectional and longitudinal studies showed that life satisfaction negatively predicted depression in university students, including the studies conducted during the pandemic (e.g., Dorahy et al., 2000; Hartstone and Medvedev, 2021; Lopes and Nihei, 2021). Other studies showed that higher resilience would predict lower depression in university students (Kapikiran and Acun-Kapikiran, 2016; Mak et al., 2018). Also, studies showed that emotional competence negatively predicted depression (Kwok and Gu, 2017; Elsina and Martinsone, 2021).
Second, the findings extend the existing literature on the negative predictive role of flourishing and beliefs of adversity in depression. While the concept of flourishing has been promoted in positive psychology in recent years, few empirical studies examined its relationship with mental health problems in university students, particularly in the Chinese contexts. One study showed that flourishing negatively predicted depression in university students in Iran (Soleimani et al., 2015). Another study showed that lower flourishing predicted higher depression in adolescent bullying victims (Rey et al., 2019). Findings from this study extend the existing literature on the negative predictive role of flourishing in depression. Regarding beliefs of adversity, it refers to individuals’ positive values and beliefs about adversity that would bring positive influence on their behaviors in coping with adversity (Huang et al., 2014). Based on such work, it is argued that beliefs of adversity would protect individuals from mental health problems. However, there is quite limited literature on the association between beliefs about adversity and mental health problems in university students. Therefore, findings of the study provide evidence for the negative predicting role of beliefs about adversity in depression in university students.
Supporting Hypotheses 3a and 3b, the present study showed that the predictive effects of interaction between COVID-19 stress and “social event” stress and positive psychological factors on depression were significant although the effect size was small. This suggests that positive psychological factors moderated the positive association between stresses and depression. The findings are in line with the existing literature on the moderating role of specific positive psychological factors. For example, a study on Hong Kong primary school students showed that life satisfaction moderated the association between parental anxiety and student depression (Tam et al., 2018). Also, a recent research study based on 1,718 students in one university in Australia showed that the students’ resilience moderated the association between social isolation and depression during the pandemic (Liu et al., 2021).
However, there have been inconclusive findings regarding the moderating role of certain positive psychological factors. For example, while some studies showed that emotional competence could moderate the linkage between adverse life events and mental illness, such as suicidal ideation (Cha and Nock, 2009; Kwok, 2014), there were also studies showing that emotional competence did not moderate the relationship between adverse life events and suicidal ideation (Wang et al., 2011). As Chinese culture highlights “emotional restraint” or even “emotional suppression” (Kwok, 2014), whether emotional competence (including emotional expression) could moderate the association between adverse life events/stress and mental illness should be further investigated. The study contributes to this part of literature by showing the moderating role of positive psychological attributes in the stress-depression relationship.
Theoretically, this study contributes to the generalizability of the positive youth development (PYD) theory, which was originated in Western cultures, in the Chinese context. For example, Shek et al. (2021b) revealed that PYD attributes moderated the relationship between the pandemic-related perceived threats and post-traumatic stress. Shek et al. (2022b) showed that PYD variables moderated the relationship between needs satisfaction and depression in university students. Besides, Kapikiran and Acun-Kapikiran (2016) showed that university students with higher resilience demonstrated better adaptation to adverse situations, which would protect them from mental health problems such as depression. The present findings are important responses to the reflections raised by Shek (2021) and Shek et al. (in press). Waters et al. (2022) also highlighted several positive psychological attributes that could help people to cope with stress during the pandemic. The featured PYD attributes included life meaning, coping style, self-compassion, courage to face adversity, gratitude, character strengths, positive affect, positive relationship processes, and positive connections. The present findings concur with such emphases.
Practically, the study contributes to the development of effective intervention programs for reducing students’ depression under stresses during the pandemic. It highlights the importance of PYD programs in promoting students’ mental health during the pandemic. For example, Arslan and Burke (2021) stressed the importance of positive psychology when students resume normal classes. With reference to Hong Kong, despite the emphases of different stakeholders on the need of psychosocial competence and positive psychological development in students, such coverage is very thin in the formal curriculum (Shek et al., 2021a). Obviously, there is a need to step up education on positive psychology in the higher education sector.
Although this study is pioneering in the area, several limitations should be noted. First, as cross-sectional data were collected in this study, we are not able to infer the causal relationships among the variables. As such, we should conduct longitudinal studies in the future. Second, we collected data via self-reported measures which might have response bias (Furnham and Henderson, 1982). Future studies should include data collected from the significant other of research participants to give a more triangulated picture. Third, while quota sampling has benefits of cost-effectiveness and creating a sample that illustrate the proportion of required groups based on participants’ characteristics, it has limitations of creating bias and representativeness (Iliyasu and Etikan, 2021). If possible, future studies should use random sampling strategies. Of course, in view of city lockdown and suspension of schools, it may be difficult, if not impossible to collect data using random sampling during the pandemic.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving human participants were reviewed and approved by the Institutional Review Board (or its Delegate) at the Hong Kong Polytechnic University. The patients/participants provided their written informed consent to participate in this study.
Author contributions
DS obtained the research grant, conceived the research, contributed to all stages of the research work, and critically revised all versions of the manuscript. W-yC checked data analyses, drafted discussion section, and revised the whole manuscript. TW drafted the introduction section, conducted revision, and checked the manuscript. KZ conducted data analyses and drafted method and results sections. All authors contributed to the article and approved the submitted version.
Funding
This study was financially supported by the University Grants Committee of Hong Kong, Wofoo Foundation, and the Research Matching Grant of the Research Grants Council.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
Arslan, G., and Burke, J. (2021). Positive education to promote flourishing in students returning to school after COVID-19 closure. JOSEP 1, 1–5. doi: 10.47602/josep.v1i1.3
Burns, R. A., Windsor, T., Butterworth, P., and Anstey, K. J. (2022). The protective effects of wellbeing and flourishing on long-term mental health risk. SSM-MH 2:100052. doi: 10.1016/j.ssmmh.2021.100052
Cha, C. B., and Nock, M. K. (2009). Emotional intelligence is a protective factor for suicidal behavior. J. Am. Acad. Child Adolesc. Psychiatry 48, 422–430. doi: 10.1097/CHI.0b013e3181984f44
Chan, A. C. Y., Piehler, T. F., and Ho, G. W. K. (2021). Resilience and mental health during the COVID-19 pandemic: findings from Minnesota and Hong Kong. J. Affect. Disord. 295, 771–780. doi: 10.1016/j.jad.2021.08.144
Coello, M. F., Valero-Moreno, S., Herrera, J. S., Lacomba-Trejo, L., and Perez-Marin, M. (2022). Emotional impact in adolescents in Ecuador six months after the beginning of the COVID-19 pandemic. J. Psychol. 156, 381–394. doi: 10.1080/00223980.2022.2054921
Compton, W. C., and Hoffman, E. (2019). Positive Psychology: The Science of Happiness and Flourishing. Thousand Oaks: SAGE Publications.
Diener, E., Emmons, R. A., Larsen, R. J., and Griffin, S. (1985). The satisfaction with life scale. J. Pers. Assess. 49, 71–75. doi: 10.1207/s15327752jpa4901_13
Diener, E., Wirtz, D., Tov, W., Kim-Prieto, C., Choi, D., Oishi, S., et al. (2010). New well-being measures: short scales to assess flourishing and positive and negative feelings. Soc. Indic. Res. 97, 143–156. doi: 10.1007/s11205-009-9493-y
Dillard, A. J., Weber, A. E., Chassee, A., and Thakur, M. (2022). Perceptions of the COVID-19 pandemic among women with infertility: correlations with dispositional optimism. Int. J. Environ. Res. Public Health 19:2577. doi: 10.3390/ijerph19052577
Dorahy, M. J., Lewis, C. A., Schumaker, J. F., Akuamoah-Boateng, R., Duze, M. C., and Sibiya, T. E. (2000). Depression and life satisfaction among Australian, Ghanaian, Nigerian, northern Irish, and Swazi university students. J. Soc. Behav. Pers. 15, 569–580.
Eaton, W. W., Smith, C., Ybarra, M., Muntaner, C., and Tien, A. (2004). “Center for epidemiologic studies depression scale: review and revision (CESD and CESD-R)” in The Use of Psychological Testing for Treatment Planning and Outcomes Assessment: Instruments for Adults. ed. M. E. Maruish (Mahwah, NJ: Lawrence Erlbaum Associates Publishers), 363–377.
Ellis, W. E., Dumas, T. M., and Forbes, L. M. (2020). Physically isolated but socially connected: psychological adjustment and stress among adolescents during the initial COVID-19 crisis. Can. J. Behav. Sci. 52, 177–187. doi: 10.1037/cbs0000215
Elsina, I., and Martinsone, B. (2021). The role of self-reported social emotional competence and perceived social support in predicting depression symptoms in adolescents. Baltic J. Psychol. 22, 4–24. doi: 10.22364/bjp.22.01-02
Ettman, C. K., Abdalla, S. M., Cohen, G. H., Sampson, L., Vivier, P. M., and Galea, S. (2020). Prevalence of depression symptoms in US adults before and during the COVID-19 pandemic. JAMA Netw. Open 3:e2019686. doi: 10.1001/jamanetworkopen.2020.19686
Filippetti, M. L., Clarke, A. D. F., and Rigato, S. (2022). The mental health crisis of expectant women in the UK: effects of the COVID-19 pandemic on prenatal mental health, antenatal attachment and social support. BMC Pregnancy Childbirth 22:68. doi: 10.1186/s12884-022-04387-7
Fong, T. K. H., Cheung, T., Chan, W. C., and Cheng, C. P. W. (2022). Depression, anxiety and stress on caregivers of persons with dementia (CGPWD) in Hong Kong amid COVID-19 pandemic. Int. J. Environ. Res. Public Health 19:184. doi: 10.3390/ijerph19010184
Fung, L. W. Y., Zhao, J., Yan, V. K. C., Blais, J. E., Chan, J. C. H., Li, S. T. H., et al. (2022). COVID-19 vaccination preferences of university students and staff in Hong Kong. JAMA Netw. Open 5:e2212681. doi: 10.1001/jamanetworkopen.2022.12681
Furnham, A., and Henderson, M. (1982). The good, the bad and the mad: response bias in self-report measures. Pers. Individ. Diff. 3, 311–320. doi: 10.1016/0191-8869(82)90051-4
Gable, S. L., and Haidt, J. (2005). What (and why) is positive psychology? Rev. Gen. Psychol. 9, 103–110. doi: 10.1037/1089-2680.9.2.103
Galanza, M. A. M. C., Aruta, J. J. B. R., Mateo, N. J., Resurreccion, R. R., and Bernardo, A. B. I. (2021). Mental health of Filipino university students during the COVID-19 pandemic: the distinct associations of fear of COVID-19 and financial difficulties. Educ. Dev. Psychol. 40, 125–130. doi: 10.1080/20590776.2021.1999168
Gilman, R., and Huebner, S. (2003). A review of life satisfaction research with children and adolescents. Sch. Psychol. Q. 18, 192–205. doi: 10.1521/scpq.18.2.192.21858
Goh, E. C. L., Wen, D. J. R., and Ang, R. C. Y. (2022). Why did COVID-19 not further harm the mental health of poor mothers? A mixed-method study on low-income families in Singapore. BMJ Open 12:e052103. doi: 10.1136/bmjopen-2021-052103
Haddad, J. M., Macenski, C., Mosier-Mills, A., Hibara, A., Kester, K., Schneider, M., et al. (2021). The impact of social media on college mental health during the COVID-19 pandemic: a multinational review of the existing literature. Curr. Psychiatry Rep. 23:70. doi: 10.1007/s11920-021-01288-y
Hammen, C. L. (2015). Stress and depression: old questions, new approaches. Curr. Opin. Psychol. 4, 80–85. doi: 10.1016/j.copsyc.2014.12.024
Hartstone, J. M., and Medvedev, O. N. (2021). The role of mindfulness and life satisfaction in psychological distress during the COVID-19 lockdown in New Zealand: a quasi-experimental study. Mindfulness 12, 2693–2706. doi: 10.1007/s12671-021-01731-4
Hayes, A. F. (2013). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-based Approach. New York: Guilford Press.
Hou, W. K., Lee, T. M. C., Liang, L., Li, T. W., Liu, H. N., Ettman, C. K., et al. (2021). Civil unrest, COVID-19 stressors, anxiety, and depression in the acute phase of the pandemic: a population-based study in Hong Kong. Soc. Psychiatry Psychiatr. Epidemiol. 56, 1499–1508. doi: 10.1007/s00127-021-02037-5
Hou, W. K., Li, T. W., Liang, L., Liu, H. N., Ettman, C. K., Hobfoll, S. E., et al. (2022). Trends of depression and anxiety during massive civil unrest and COVID-19 in Hong Kong, 2019-2020. J. Psychiatr. Res. 145, 77–84. doi: 10.1016/j.jpsychires.2021.11.037
Hou, L. L., Long, F. F., Meng, Y., Cheng, X. R., Zhang, W. W., and Zhou, R. L. (2021). The relationship between quarantine length and negative affect during the COVID-19 epidemic among the general population in China: the roles of negative cognition and protective factors. Front. Psychol. 12:575684. doi: 10.3389/fpsyg.2021.575684
Huang, Y., Wong, H., and Tan, N. T. (2014). Associations among Chinese cultural beliefs of adversity, income recovery, and psychological status of Wenchuan earthquake survivors. Soc. Work. Ment. Health 12, 343–364. doi: 10.1080/15332985.2014.889061
Huebner, E. S., Suldo, S. M., and Gilman, R. (2006). “Life satisfaction,” in Children's Needs III: Development, Prevention, and Intervention. eds. G. G. Bear and K. M. Minke (Bethesda, MD: National Association of School Psychologists), 357–368.
Hungin, A. P., Whorwell, P. J., Tack, J., and Mearin, F. (2003). The prevalence, patterns and impact of irritable bowel syndrome: an international survey of 40,000 subjects. Aliment. Pharmacol. Ther. 17, 643–650. doi: 10.1046/j.1365-2036.2003.01456.x
Iliyasu, R., and Etikan, I. (2021). Comparison of quota sampling and stratified random sampling. BBIJ 10, 24–27. doi: 10.15406/bbij.2021.10.00326
Ip, P., Chim, D., Chan, K. L., Li, T. M. H., Ho, F. K. W., Van Voorhees, B. W., et al. (2016). Effectiveness of a culturally attuned internet-based depression prevention program for Chinese adolescents: a randomized controlled trial. Depress. Anxiety 33, 1123–1131. doi: 10.1002/da.22554
Jang, C. Y., Cho, E. H., Kwak, Y. S., and Kim, T. (2020). The relationship between flourishing and depression in children in the US using a socioecological perspective. Int. J. Environ. Res. Public Health 17:8246. doi: 10.3390/ijerph17218246
Kapikiran, S., and Acun-Kapikiran, N. (2016). Optimism and psychological resilience in relation to depressive symptoms in university students: examining the mediating role of self-esteem. Educ. Sci. Theor. Pract. 16, 2087–2110. doi: 10.12738/estp.2016.6.0107
Karasar, B., and Canli, D. (2020). Psychological resilience and depression during the Covid-19 pandemic in Turkey. Psychiatr. Danub. 32, 273–279. doi: 10.24869/psyd.2020.273
Kaya, M. S., and McCabe, C. (2022). Effects of COVID-19 on adolescent mental health and internet use by ethnicity and gender: a mixed-method study. Int. J. Environ. Res. Public Health 19:8927. doi: 10.3390/ijerph19158927
Kuhlman, K. R., Straka, K., Mousavi, Z., Tran, M. L., and Rodgers, E. (2021). Predictors of adolescent resilience during the COVID-19 pandemic: cognitive reappraisal and humor. J. Adolesc. Health 69, 729–736. doi: 10.1016/j.jadohealth.2021.07.006
Kujawa, A., Green, H., Compas, B. E., Dickey, L., and Pegg, S. (2020). Exposure to COVID-19 pandemic stress: associations with depression and anxiety in emerging adults in the United States. Depress. Anxiety 37, 1280–1288. doi: 10.1002/da.23109
Kwok, S. Y. C. L. (2014). The moderating role of emotional competence in suicidal ideation among Chinese university students. J. Adv. Nurs. 70, 843–854. doi: 10.1111/jan.12246
Kwok, S. Y. C. L., and Gu, M. M. (2017). The role of emotional competence in the association between optimism and depression among Chinese adolescents. Child Indic. Res. 10, 171–185. doi: 10.1007/s12187-016-9366-2
Lebel, C., MacKinnon, A., Bagshawe, M., Tomfohr-Madsen, L., and Giesbrecht, G. (2020). Elevated depression and anxiety symptoms among pregnant individuals during the COVID-19 pandemic. J. Affect. Disord. 277, 5–13. doi: 10.1016/j.jad.2020.07.126
Li, B. B., Pan, Y. G., Liu, G. Z., Chen, W. F., Lu, J. M., and Li, X. (2020). Perceived social support and self-esteem mediate the relationship between childhood maltreatment and psychosocial flourishing in Chinese undergraduate students. Child Youth Serv. Rev. 117:105303. doi: 10.1016/j.childyouth.2020.105303
Li, J., Zhao, F., Bai, H., Lin, P., Shao, D., Sun, J., et al. (2019). Psychometric properties of the Chinese version of the Center for Epidemiologic Studies Depression Scale-Revised in patients with cancer: a cross-sectional study. Int. J. Nurs. Stud. 97, 14–20. doi: 10.1016/j.ijnurstu.2019.04.008
Lin, L., and Shek, D. T. L. (2019). Does service leadership education contribute to student well-being? A quasi-experimental study based on Hong Kong university students. Appl. Res. Qual. Life 14, 1147–1163. doi: 10.1007/s11482-018-9644-x
Liu, C., McCabe, M., Kellett-Renzella, S., Shankar, S., Gerges, N., and Cornish, K. (2021). Addressing depression symptoms among university students under COVID-19 restrictions: the mediating role of stress and the moderating role of resilience. Int. J. Environ. Res. Public Health 18:12752. doi: 10.3390/ijerph182312752
Liu, Q. W., and Wang, Z. H. (2021). Perceived stress of the COVID-19 pandemic and adolescents' depression symptoms: the moderating role of character strengths. Pers. Individ. Dif. 182:111062. doi: 10.1016/j.paid.2021.111062
Lopes, A. R., and Nihei, O. K. (2021). Depression, anxiety and stress symptoms in Brazilian university students during the COVID-19 pandemic: predictors and association with life satisfaction, psychological well-being and coping strategies. PLoS One 16:e0258493. doi: 10.1371/journal.pone.0258493
Lopez-Zafra, E., Ramos-Álvarez, M. M., Ghoudani, K. E., Luque-Reca, O., Augusto-Landa, J. M., Zarhbouch, B., et al. (2019). Social support and emotional intelligence as protective resources for well-being in Moroccan adolescents. Front. Psych. 10:1529. doi: 10.3389/fpsyg.2019.01529
Lu, L., Wang, X. B., Wang, X. H., Guo, X. X., and Pan, B. C. (2022). Association of Covid-19 pandemic-related stress and depressive symptoms among international medical students. BMC Psychiatry 22:20. doi: 10.1186/s12888-021-03671-8
Mak, K. K., Jeong, J., Lee, H. K., and Lee, K. (2018). Mediating effect of internet addiction on the association between resilience and depression among Korean university students: a structural equation modeling approach. Psychiatry Investig. 15, 962–969. doi: 10.30773/pi.2018.08.07.2
Mant, M., Aslemand, A., Prine, A., and Jaagumagi Holland, A. (2021). University students' perspectives, planned uptake, and hesitancy regarding the COVID-19 vaccine: a multi-methods study. PLoS One 16:e0255447. doi: 10.1371/journal.pone.0255447
Marciano, H., Eshel, Y., Kimhi, S., and Adini, B. (2022). Hope and fear of threats as predictors of coping with two major adversities, the COVID-19 pandemic and an armed conflict. Int. J. Environ. Res. Public Health 19:1123. doi: 10.3390/ijerph19031123
Matsumoto, N., Sugimoto, T., Kuroda, Y., Uchida, K., Kishino, Y., Arai, H., et al. (2022). Psychological resilience among older Japanese adults with mild cognitive impairment during the COVID-19 pandemic. Front. Psych. 13:898990. doi: 10.3389/fpsyt.2022.898990
Mendonca, I., Coelho, F., Ferrajao, P., and Abreu, A. M. (2022). Telework and mental health during COVID-19. Int. J. Environ. Res. Public Health 19:2602. doi: 10.3390/ijerph19052602
Nassr, R. M., Aborujilah, A., Aldossary, D. A., and Aldossary, A. A. A. (2020). Understanding education difficulty during COVID-19 lockdown: reports on Malaysian university students' experience. IEEE Access 8, 186939–186950. doi: 10.1109/Access.2020.3029967
Navarro-Prados, A. B., Garcia-Tizon, S. J., Melendez, J. C., and Lopez, J. (2022). Factors associated with satisfaction and depressed mood among nursing home workers during the covid-19 pandemic. J. Clin. Nurs. 1– 8. doi: 10.1111/jocn.16414
Nicolai, S., Franikowski, P., and Stoll-Kleemann, S. (2022). Predicting pro-environmental intention and behavior based on justice sensitivity, moral disengagement, and moral emotions: results of two quota-sampling surveys. Front. Psychol. 13:914366. doi: 10.3389/fpsyg.2022.914366
Radloff, L. S. (1977). The CES-D scale: a self-report depression scale for research in the general population. Appl. Psychol. Meas. 1, 385–401. doi: 10.1177/014662167700100306
Rey, L., Mérida-López, S., Sánchez-Álvarez, N., and Extremera, N. (2019). When and how do emotional intelligence and flourishing protect against suicide risk in adolescent bullying victims? Int. J. Environ. Res. Public Health 16:2114. doi: 10.3390/ijerph16122114
Riepenhausen, A., Veer, I. M., Wackerhagen, C., Reppmann, Z. C., Kober, G., Ayuso-Mateos, J. L., et al. (2022). Coping with COVID: risk and resilience factors for mental health in a German representative panel study. Psychol. Med. 1-11, 1–11. doi: 10.1017/S0033291722000563
Rudenstine, S., McNeal, K., Schulder, T., Ettman, C. K., Hernandez, M., Gvozdieva, K., et al. (2021). Depression and anxiety during the COVID-19 pandemic in an urban, low-income public university sample. J. Trauma. Stress. 34, 12–22. doi: 10.1002/jts.22600
Satici, B., Gocet-Tekin, E., Deniz, M. E., and Satici, S. A. (2021). Adaptation of the fear of COVID-19 scale: its association with psychological distress and life satisfaction in Turkey. Int. J. Ment. Health Addict. 19, 1980–1988. doi: 10.1007/s11469-020-00294-0
Schiff, M., Zasiekina, L., Pat-Horenczyk, R., and Benbenishty, R. (2021). COVID-related functional difficulties and concerns among university students during COVID-19 pandemic: a binational perspective. J. Community Health 46, 667–675. doi: 10.1007/s10900-020-00930-9
Schmitt, A. A., Brenner, A. M., Alves, L. P. D., Claudino, F. C. D., Fleck, M. P. D., and Rocha, N. S. (2021). Potential predictors of depressive symptoms during the initial stage of the COVID-19 outbreak among Brazilian adults. J. Affect. Disord. 282, 1090–1095. doi: 10.1016/j.jad.2020.12.203
Schug, C., Morawa, E., Geiser, F., Hiebel, N., Beschoner, P., Jerg-Bretzke, L., et al. (2021). Social support and optimism as protective factors for mental health among 7765 healthcare workers in Germany during the COVID-19 pandemic: results of the VOICE study. Int. J. Environ. Res. Public Health 18:3827. doi: 10.3390/ijerph18073827
Seligman, M. E., and Csikszentmihalyi, M. (2000). Positive psychology: an introduction. Am. Psychol. 55, 5–14. doi: 10.1037/0003-066X.55.1.5
Shek, D. T. L. (2004). Chinese cultural beliefs about adversity: its relationship to psychological well-being, school adjustment and problem behaviour in Hong Kong adolescents with and without economic disadvantage. Childhood 11, 63–80. doi: 10.1177/0907568204040185
Shek, D. T. L. (2020). Protests in Hong Kong (2019-2020): a perspective based on quality of life and well-being. Appl. Res. Qual. Life 15, 619–635. doi: 10.1007/s11482-020-09825-2
Shek, D. T. L. (2021). COVID-19 and quality of life: twelve reflections. Appl. Res. Qual. Life 16, 1–11. doi: 10.1007/s11482-020-09898-z
Shek, D. T. L., Dou, D., and Zhu, X. (2022a). Prevalence and correlates of mental health of university students in Hong Kong: what happened one year after the occurrence of COVID-19? Front. Public Health 10:857147. doi: 10.3389/fpubh.2022.857147
Shek, D. T. L., Dou, D. Y., Zhu, X. Q., Wong, T. Y., and Tan, L. D. (2022b). Need satisfaction and depressive symptoms among university students in Hong Kong during the COVID-19 pandemic: moderating effects of positive youth development attributes. Front. Psych. 13:931404. doi: 10.3389/fpsyt.2022.931404
Shek, D. T. L., Leung, J. T. Y., and Tan, L. (in press). Social policies and theories on quality of life under COVID-19: in search of the missing links. Appl. Res. Qual. Life.
Shek, D. T. L., and Li, X. (2016). Perceived school performance, life satisfaction, and hopelessness: a 4-year longitudinal study of adolescents in Hong Kong. Soc. Indic. Res. 126, 921–934. doi: 10.1007/s11205-015-0904-y
Shek, D. T. L., Lin, L., Ma, C. M. S., Yu, L., Leung, J. T. Y., Wu, F. K. Y., et al. (2021a). Perceptions of adolescents, teachers and parents of life skills education and life skills in high school students in Hong Kong. Appl. Res. Qual. Life 16, 1847–1860. doi: 10.1007/s11482-020-09848-9
Shek, D. T. L., Siu, A. M. H., and Lee, T. Y. (2007). The Chinese positive youth development scale: a validation study. Res. Soc. Work. Pract. 17, 380–391. doi: 10.1177/1049731506296196
Shek, D. T. L., Zhao, L., Dou, D. Y., Zhu, X. Q., and Xiao, C. H. (2021b). The impact of positive youth development attributes on posttraumatic stress disorder symptoms among Chinese adolescents under COVID-19. J. Adolesc. Health 68, 676–682. doi: 10.1016/j.jadohealth.2021.01.011
Soleimani, S., Rezaei, A. M., Kianersi, F., Hojabrian, H., and Khalili Paji, K. (2015). Developement and validation of flourishing questionnaire based on seligman's model among Iranian university students. J. Res. Health 5, 3–12.
Tam, H. L., Kwok, S. Y. C. L., Ling, C. C. Y., and Li, C. I. K. (2018). The moderating effects of positive psychological strengths on the relationship between tiger parenting and child anxiety. Child Youth Serv. Rev. 94, 207–215. doi: 10.1016/j.childyouth.2018.10.012
Tamarit, A., De la Barrera, U., Schoeps, K., Castro-Calvo, J., and Montoya-Castilla, I. (2022). Analyzing the role of resilience and life satisfaction as mediators of the impact of COVID-19 worries on mental health. J. Community Psychol. 51, 234–250. doi: 10.1002/jcop.22900
Taylor, S., Landry, C. A., Paluszek, M. M., Fergus, T. A., McKay, D., and Asmundson, G. J. G. (2020). Development and initial validation of the COVID stress scales. J. Anxiety Disord. 72:102232. doi: 10.1016/j.janxdis.2020.102232
Tee, M. L., Tee, C. A., Anlacan, J. P., Aligam, K. J. G., Reyes, P. W. C., Kuruchittham, V., et al. (2020). Psychological impact of COVID-19 pandemic in the Philippines. J. Affect. Disord. 277, 379–391. doi: 10.1016/j.jad.2020.08.043
Traunmuller, C., Stefitz, R., Schneider, M., and Schwerdtfeger, A. (2021). Resilience moderates the relationship between the psychological impact of COVID-19 and anxiety. Psychol. Health Med., 1–12. doi: 10.1080/13548506.2021.1955137
Van Dam, N. T., and Earleywine, M. (2011). Validation of the Center for Epidemiologic Studies Depression Scale-Revised (CESD-R): pragmatic depression assessment in the general population. Psychiatry Res. 186, 128–132. doi: 10.1016/j.psychres.2010.08.018
Vos, L. M. W., Habibovic, M., Nyklicek, I., Smeets, T., and Mertens, G. (2021). Optimism, mindfulness, and resilience as potential protective factors for the mental health consequences of fear of the coronavirus. Psychiatry Res. 300:113927. doi: 10.1016/j.psychres.2021.113927
Wang, R. H., Lai, H. J., Hsu, H. Y., and Hsu, M. T. (2011). Risk and protective factors for suicidal ideation among Taiwanese adolescents. Nurs. Res. 60, 413–421. doi: 10.1097/NNR.0b013e3182337d83
Waters, L., Algoe, S. B., Dutton, J., Emmons, R., Fredrickson, B. L., Heaphy, E., et al. (2022). Positive psychology in a pandemic: buffering, bolstering, and building mental health. J. Posit. Psychol. 17, 303–323. doi: 10.1080/17439760.2021.1871945
Wong, S. M. Y., Hui, C. L. M., Wong, C. S. M., Suen, Y. N., Chan, S. K. W., Lee, E. H. M., et al. (2021). Mental health risks after repeated exposure to multiple stressful events during ongoing social unrest and pandemic in Hong Kong: the role of rumination. Can. J. Psychiatr. 66, 577–585. doi: 10.1177/0706743720979920
Yates, T. M., Tyrell, F. A., and Masten, A. S. (2015). “Resilience theory and the practice of positive psychology from individuals to societies” in Positive Psychology in Practice: Promoting Human Flourishing in Work, Health, Education, and Everyday Life. ed. S. Joseph. 2nd ed (Hoboken, NJ, USA: John Wiley & Sons, Inc), 773–788.
Yildirim, M., Arslan, G., and Ozaslan, A. (2022). Perceived risk and mental health problems among healthcare professionals during COVID-19 pandemic: exploring the mediating effects of resilience and coronavirus fear. Int. J. Ment. Health Addict. 20, 1035–1045. doi: 10.1007/s11469-020-00424-8
Yu, H., Song, Y., Wang, X., Zhou, M., Feng, X., and Wang, Y. (2022). The impact of COVID-19 restrictions on physical activity among Chinese university students: a retrospectively matched cohort study. Am. J. Health Behav. 46, 294–303. doi: 10.5993/ajhb.46.3.8
Zhang, J., Yang, Z., Wang, X., Li, J., Dong, L. L., Wang, F. S., et al. (2020). The relationship between resilience, anxiety and depression among patients with mild symptoms of COVID-19 in China: a cross-sectional study. J. Clin. Nurs. 29, 4020–4029. doi: 10.1111/jocn.15425
Keywords: positive psychological factors, COVID-19, stress, depression, moderating effect, Chinese university students
Citation: Shek DTL, Chai W-y, Wong T and Zhou K (2023) Stress and depressive symptoms in university students in Hong Kong under the pandemic: Moderating effect of positive psychological attributes. Front. Psychol. 14:1071938. doi: 10.3389/fpsyg.2023.1071938
Edited by:
Omar Khalid Bhatti, Istanbul Medipol University, TürkiyeReviewed by:
Xinwen Bai, Institute of Psychology (CAS), ChinaYong Cai, Shanghai Jiao Tong University, China
Copyright © 2023 Shek, Chai, Wong and Zhou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Daniel T. L. Shek, ✉ daniel.shek@polyu.edu.hk