A latent profile analysis of subjective exercise experiences among physically vulnerable college students and psychiatric symptoms correlates during three phases of the COVID-19 pandemic in Wuhan, China.

Introduction: Physical activity among college students since the COVID-19 pandemic was well studied; however, subjective exercise experience and the emotional response toward physical exercise received less attention. Methods: The present study used latent profile analysis (LPA) to explore the latent class of subjective exercise experience among physically vulnerable college students who scored 59 points or less in tests under the National Student Physical Health Standard. Three non-duplicated samples at different stages of the COVID-19 pandemic were collected in March 2020 (N = 127), March 2021 (N = 118), and November 2021 (N = 206) respectively. Psychometrically validated scales, namely, Subjective Exercise Experiences Scale (SEES), Generalized Anxiety Disorder (GAD-7), and Patient Health Questionnaire (PHQ-9) were used to measure subjective exercise experience, anxiety symptoms, and depressive symptoms. Results and discussion: LPA revealed a 3-class solution for the subjective exercise experience of physically unfit students, namely, the "negative experience group" (30.82%), the "fatigue group" (41.91%), and the "positive experience group" (27.27%). Multinomial regression showed that probable anxiety [odds ratio (OR) = 0.12] was associated with the overall negative exercise experience while probable depression (OR = 0.19) was associated with psychological fatigue. Women (OR = 0.496) were more likely to experience overall negative exercise experience, and the outbreak of the COVID- 19 (OR = 2.14) pandemic influenced the psychological distress of the subjective exercise experience compared with the other two phases in the post-COVID- 19 era. Our findings provided significant implications for physical education targeting university students that interventions should be tailored differently for three profiles of the subjective exercise experience.

The interrelations between psychological outcome trajectories and resource changes amid large-scale disasters: A growth mixture modeling analysis.

Currently little is known about the interrelations between changes in psychiatric symptoms and changes in resources (personal, social, financial) amid large-scale disasters. This study investigated trajectories of psychiatric symptoms and their relationships with different patterns of changes in personal, social, and financial resources between 2020 and 2022 amid the COVID-19 pandemic. A population-representative sample (N = 1333) was recruited to complete self-report instruments at the pandemic's acute phase (February-July 2020, T1), and again at 1-year (March-August 2021, T2) and 1.5-year (September 2021-February 2022, T3) follow-ups. Respondents reported depressive and anxiety symptoms, self-efficacy, perceived social support, and financial capacity. Growth mixture modeling (GMM) identified four trajectories of depressive and anxiety symptoms: resilience (72.39-74.19%), recovery (8.40-11.93%), delayed distress (7.20-7.35%), and chronic distress (8.33-10.20%). Four patterns were demonstrated in resource changes: persistent high resources (40.89-47.64%), resource gain (12.08-15.60%), resource loss (6.30-10.43%), and persistent low resources (28.73-36.61%). Loss and gain in financial resources characterized chronic distress and resilience, respectively. Loss in personal resources characterized delayed distress, whereas loss or no gain in social resources was related to chronic/delayed distress. Respondents in resilience were also more likely to have persistent high resources while those with delayed/chronic distress were more likely to have persistent low resources. These results provide an initial evidence base for advancing current understanding on trajectories of resilience and psychopathology in the context of resource changes during and after large-scale disasters.

Trends of depression and anxiety during massive civil unrest and COVID-19 in Hong Kong, 2019-2020.

Both COVID-19 and unrest are posing a significant threat to population mental health across the globe. This study examined trends of probable depression and anxiety during a time of civil unrest and concurrent COVID-19 in Hong Kong. Four random digit dialing telephone surveys were conducted in July 2019 (n = 1112), February-March 2020 (n = 2003), April-May 2020 (n = 2008), and July-August 2020 (n = 2034). The prevalence of probable depression increased from 25.7% (95% CI: 23.2-28.3) in July 2019 to 28.2% (95% CI: 26.2-30.1) in February-March 2020, and then decreased to 15.3% (95% CI: 14.0-17.0) in April-May 2020 and 13.7% (95% CI: 12.2-15.2) in July-August 2020. The prevalence of probable anxiety was 19.2% (95% CI: 17.5-20.9) in February-March 2020 and then stabilized in April-May 2020 and July-August 2020 (14.1%, 95% CI: 12.0-15.8). Probable depression and anxiety were more prevalent among persons with high relative to low daily routine disruptions. Combined high unrest-COVID-19 stress was associated with probable depression and anxiety across all persons; high unrest stress alone was associated with probable mental disorders at high daily routine disruptions. Civil unrest and COVID-19 are jointly associated with depression and anxiety among Hong Kong citizens. While population mental health improved, daily routine disruptions is a risk factor of mental disorders at every time-point.

Age-Related Differences of Rumination on the Loneliness-Depression Relationship: Evidence From a Population-Representative Cohort.

BACKGROUND AND OBJECTIVES: This study examined the association of loneliness with depressive symptoms across various age groups. Loneliness is a significant risk factor for precipitating depressive symptoms. Rumination, a mechanism that underpins depression, can become intense when a person feels lonely. In addition, age is a major factor associated with changes in mental and physical health. Thus, the importance of rumination and age in moderating the loneliness-depression link were investigated. RESEARCH DESIGN AND METHODS: This cross-sectional study was conducted during the acute phase of the coronavirus disease 2019 pandemic in Hong Kong (February 27 to March 17, 2020). A population-representative sample of 1,972 people (1,107 females; 18-92 years of age) was recruited and interviewed via telephone through random digit dialing. This sample included 394 younger adults (18-30 years), 1,106 middle-aged adults (31-64 years), and 472 older adults (65 years or above). Respondents reported depressive symptoms, subjective loneliness, state rumination, and sociodemographic factors. RESULTS: Loneliness and rumination were positively associated with depressive symptoms, and they significantly interacted in predicting cognitive-affective symptoms. Further analysis of age showed that the interaction was significant only in middle-aged adults and older adults. Both rumination and age interacted with loneliness, respectively, in predicting cognitive-affective symptoms. DISCUSSION AND IMPLICATIONS: These findings indicate that the strength of the association between loneliness and the cognitive-affective symptoms of depression depends on rumination levels and age. An intervention to regulate rumination offers a feasible direction for health care and social care aimed at improving older adults' mental health.

Psychiatric symptoms and behavioral adjustment during the COVID-19 pandemic: evidence from two population-representative cohorts.

This study examined prevalences of anxiety and depression and their correlations with daily routines among Hong Kong Chinese during the COVID-19 pandemic. Random digit dialing recruited two population-representative samples of 6029 residents during a period of low infection and limited intervention (survey 1: n = 4021) and high incidence and intensive measures (survey 2: n = 2008). Prevalence of anxiety for survey 1 and survey 2 were 14.9% and 14% and depression were 19.6% and 15.3%, respectively. Increased odds of anxiety and depression were associated with disrupted routines and lower socioeconomic status in both surveys, whereas depression was inversely related to the novel preventive routine of avoiding going to crowded places in survey 1. The prevalences of anxiety and depression were higher than preceding public health/social crises. A heavier burden of psychiatric conditions was evidenced amongst people experiencing disrupted daily routines across different phases of the pandemic and without novel preventive routines in the early phase.

Civil unrest, COVID-19 stressors, anxiety, and depression in the acute phase of the pandemic: a population-based study in Hong Kong.

PURPOSE: To examine the joint associations of civil unrest and COVID-19 with probable anxiety and depression during the first half of 2020 in Hong Kong. Associations were compared between persons with low or high assets. METHODS: A population-representative sample of 4011 Hong Kong Chinese residents aged 15 years or older were recruited between February and May 2020. Respondents reported current anxiety and depressive symptoms, unrest stress, COVID-19 stress, assets (savings and home ownership), and demographics. RESULTS: Stress due to unrest and COVID-19 was associated with higher prevalence of probable anxiety and depression; persons with both stressors had higher prevalence. This pattern was consistent among persons with low or high assets, but the probabilities of mental disorder were substantially higher among persons with fewer assets. CONCLUSIONS: The effect of stressors on probable anxiety and depression are cumulative: persons with stress due to civil unrest and to COVID-19 reported more mental disorders than persons with stress due to only one, or none of these factors. Overall high assets appear to buffer the consequences of stressors, lowering the risk of mental disorder.

Probable anxiety and components of psychological resilience amid COVID-19: A population-based study.

BACKGROUND: This study examined the associations between components of psychological resilience and mental health at different levels of exposure to COVID-19 stressors. METHODS: A population-representative sample of 4,021 respondents were recruited and assessed between February 25th and March 19th, 2020. Respondents reported current anxiety symptoms (7-item Generalized Anxiety Disorder scale [GAD-7]), cognitive components (perceived ability to adapt to change, tendency to bounce back after adversities) and behavioral components (regularity of primary and secondary daily routines) of resilience, worry about COVID-19 infection, and sociodemographics. RESULTS: Logistic regression revealed that cognitive and behavioral components of resilience were not correlated with probable anxiety (GAD-7≥10) among those reporting no worry. Among respondents who were worried, all resilient components were inversely associated with probable anxiety. Specifically, propensity to bounce back and regular primary routines were more strongly related to lower odds of probable anxiety among those reporting lower levels of worry. LIMITATIONS: The cross-sectional design limits causal inference. Second, other resilient components and some key daily routines that could be related to better mental health were not assessed. Third, generalizability of the findings to other similar major cities is uncertain because cases and deaths due to COVID-19 in Hong Kong have been comparatively lower. CONCLUSIONS: To foster mental health, cultivation of confidence in one's ability to adapt to change and a propensity to bounce back from hardship should be coupled with sustainment of regular daily routines. Such assessment and intervention protocols could be more relevant to those who suffer heightened levels of exposure to COVID-19 stressors.

Social Capital, Income Loss, and Psychobehavioral Responses amid COVID-19: A Population-Based Analysis.

This study examined the associations of perceived social capital and income change since the outbreak with probable depression and preventive behaviors during the COVID-19 pandemic in Hong Kong. Random digit dialing recruited a population-representative sample of 3011 Hong Kong Chinese aged ≥ 15 years (mean = 44, 55% females) between February 25 and April 29 2020. Respondents reported social capital (perceived interpersonal trust, social harmony, and sense of belonging), income change since the outbreak (loss vs. gain/no change), depressive symptoms, preventive behaviors, and demographics. Controlling for sociodemographics, lack of perceived interpersonal trust was associated with probable depression and avoiding contact with people with respiratory symptoms. Lack of perceived sense of belonging was associated with probable depression and decreased odds of adopting preventive behaviors. Lack of perceived social harmony was associated with probable depression and increased odds of used face masks among respondents with income loss only. Our results suggest that social capital is related to lower risk of depression and to higher chance of used face masks particularly among those experiencing income loss related to COVID-19. Prevention of mental health problems and promotion of effective preventive behaviors could be implemented by focusing on support for those who are socioeconomically disadvantaged.