Disrupted daily routines mediate the socioeconomic gradient of depression amid public health crises: A repeated cross-sectional study

The longitudinal impact of the COVID-19 pandemic on adolescents' internalizing symptoms, substance use, and digital media use

The present study examined the long-term effects of the COVID-19 pandemic on adolescent internalizing symptoms, substance use, and digital media use before and during the pandemic. A nationally representative longitudinal cohort of 3718 Israeli adolescents aged 12-16 at baseline completed measures of internalizing symptoms (anxiety, depression, and somatization), the prevalence of substance use (i.e., previous 30-day use of tobacco, alcohol, and cannabis), and average daily use of internet/television, video games, and social media. Social support and daily routines were assessed as potential protective factors for mental health. Data were collected in 10 public schools at four measurement points: before the Covid-19 outbreak (September 2019), after the first wave lockdown (May 2020), after the third wave lockdown (May 2021), and after the fifth wave of the pandemic (May 2022). Multi-level mixed models were used to analyze the longitudinal data. The results showed significant increases in internalizing symptoms, substance use (tobacco, alcohol, and cannabis), and daily screen time from the start of the study to the 33-month follow-up. Social support and daily routines moderated the increases in internalizing symptoms and digital media use. These findings highlight the need for public and educational mental health services to address the continuing impact of the pandemic on adolescents.

A systematic review on the relationship between socioeconomic conditions and emotional disorder symptoms during Covid-19: unearthing the potential role of economic concerns and financial strain

BACKGROUND

Covid-19 has disrupted the lives of many and resulted in high prevalence rates of mental disorders. Despite a vast amount of research into the social determinants of mental health during Covid-19, little is known about whether the results are consistent with the social gradient in mental health. Here we report a systematic review of studies that investigated how socioeconomic condition (SEC)-a multifaceted construct that measures a person's socioeconomic standing in society, using indicators such as education and income, predicts emotional health (depression and anxiety) risk during the pandemic. Furthermore, we examined which classes of SEC indicators would best predict symptoms of emotional disorders.

METHODS

Following PRISMA guidelines, we conducted search over six databases, including Scopus, PubMed, etc., between November 4, 2021 and November 11, 2021 for studies that investigated how SEC indicators predict emotional health risks during Covid-19, after obtaining approval from PROSPERO (ID: CRD42021288508). Using Covidence as the platform, 362 articles (324 cross-sectional/repeated cross-sectional and 38 longitudinal) were included in this review according to the eligibility criteria. We categorized SEC indicators into 'actual versus perceived' and 'static versus fluid' classes to explore their differential effects on emotional health.

RESULTS

Out of the 1479 SEC indicators used in these 362 studies, our results showed that 43.68% of the SEC indicators showed 'expected' results (i.e., higher SEC predicting better emotional health outcomes); 51.86% reported non-significant results and 4.46% reported the reverse. Economic concerns (67.16% expected results) and financial strains (64.16%) emerged as the best predictors while education (26.85%) and living conditions (30.14%) were the worst.

CONCLUSIONS

This review summarizes how different SEC indicators influenced emotional health risks across 98 countries, with a total of 5,677,007 participants, ranging from high to low-income countries. Our findings showed that not all SEC indicators were strongly predictive of emotional health risks. In fact, over half of the SEC indicators studied showed a null effect. We found that perceived and fluid SEC indicators, particularly economic concerns and financial strain could best predict depressive and anxiety symptoms. These findings have implications for policymakers to further understand how different SEC classes affect mental health during a pandemic in order to tackle associated social issues effectively.

Meaning in Life, Social Axioms, and Emotional Outcomes during the First Outbreak of COVID-19 in Hong Kong

Social unrest, coupled with the outbreak of COVID-19, was a double-hit for Hong Kong in early 2020. Those stressful societal situations not only trigger negative emotions, such as anxiety and/or depression, but also consolidate a person's belief towards oneself (i.e., meaning in life) and society (i.e., social axioms). The study included 2031 participants from the Formation and Transformation of Beliefs in Chinese (FTBC) project dataset. The data were collected in Hong Kong from February 2020 to March 2020 (double-hit). Path analysis and multiple regression were used to examine the mediating and moderating effects of the presence subscale (P) of the Meaning in Life Questionnaire (MLQ) on the relations between social axioms and negative emotions. Results showed that low MLQ-P mediated the associations between cynicism and negative emotions and between low religiosity and negative emotions and moderated the relation between social cynicism and emotional outcomes. Exploratory analyses showed that MLQ-Search (S) mediated the relations between reward for application and negative emotions, between social complexity and negative emotions, and between fate control and negative emotions, and moderated the relation between religiosity and stress. As far as we know, this study reported the first evidence of the role of meaning in life in explaining and modifying the associations between social axioms and mood states. The presence of and search for meaning in life seem to work differently with respect to the relations between social axioms and negative emotions, with important implications for understanding the dynamics of social and personal beliefs in affecting mental health in times of large-scale public crisis.

Low assets predict persistent depression through living difficulties amid large-scale disasters: A cohort study

BACKGROUND

In face of large-scale disasters, persons with fewer assets are at greater risk of persistent poorer mental health than persons with more assets. Everyday daily routine disruptions and financial hardship could mediate this association.

METHODS

This prospective population-representative study in Hong Kong aimed to investigate the relation between assets during the acute phase of COVID-19 (February-August 2020, T1) and persistent probable depression from T1 to March-August 2021 (T2), as well as the mediating effects of daily routine disruptions and financial hardship on the assets-depression association.

RESULTS

Low assets at T1 prospectively related to persistent probable depression from T1 to T2. Primary routine disruptions (i.e., healthy eating and sleep) at T1 and financial hardship at T2 were found to fully mediate the association between T1 assets and persistent probable depression.

LIMITATIONS

Persistent probable depression reported on the PHQ-9 should be further verified with clinical diagnoses/interviews.

CONCLUSIONS

The COVID-19 pandemic was accompanied by a global economic downturn. Persons who have fewer assets could be at greater risk of depression during this period. Our findings suggest a need to provide behavioral and financial assistance to persons with fewer assets in the short run and a need to ensure that everyone has adequate assets to mitigate the mental health consequences of the COVID-19 pandemic in the long run.

COVID-19 health practices and attitudes in the United States: the role of trust in healthcare

Aim

Individual-level COVID-19 vaccination and related preventive health behaviors is politically polarized in the United States. We examined whether the current polarization in COVID-19 health behavior may be explained by differences in trust in healthcare, locus of control, or insurance status.

Subject and methods

Our sample includes 553 US adults recruited on Amazon MTurk. We assessed odds ratios of currently vaccinated, or willing to be vaccinated if unvaccinated using logistic regression. We assessed count of routine changes and positive attitudes toward facemasks using negative binomial regression.

Results

Trust in healthcare was found to be an important determinant of all COVID-19 related health behavior measured in our study. Further, the effects on COVID-related attitudes/behavior from trust in healthcare are large in magnitude. For instance, our results suggest that individuals at or above the upper quartile of trust in healthcare are around 20 percentage points more likely to be vaccinated than those at or below the lower quartile. Further, we find that the effect of trust in healthcare on adherence or endorsement of COVID-19 mitigation strategies is distinct from political affiliation, i.e., the effect on COVID-19 related health behavior is independent of the polarization across political party lines. Locus of control was not associated with adherence/attitude toward COVID-19 mitigation strategies. Insurance status was only found to be positively associated with odds of being vaccinated.

Conclusion

Our study highlights the importance of increasing trust in healthcare as a means to protect public health in the wake of major public health crises.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10389-022-01737-9.

Stressful events as correlates of depressive and PTSD symptoms in Hong Kong women during social unrest and COVID-19 pandemic

BACKGROUND

Stressors at the population level affect women more than men. The influence of prolonged stressors on mental disorders in women is yet unknown, especially when social movements and pandemics coexist.

METHODS

This study analysed data from an online mental health self-help service for women in Hong Kong between May and September 2020. We collected demographic data, PTSD symptoms, and exposure to social unrest-related traumatic events (TEs), pandemic-related traumatic events (PEs), and personal stressful life experiences (SLEs). Multiple logistic regression was performed to examine the links between TEs, PEs, and SLEs and PTSD.

RESULTS

The study found that 38.4% of 751 women had moderate-to-severe depressive symptoms and 23.8% had probable PTSD. The most common TEs, PEs, and SLEs were violence via media, major physical health concerns, and plans thwarted due to COVID-19, respectively. Younger age, less education, unemployment, and more stressors (individually or collectively, except for high TEs and PEs) were linked to increased odds of moderate-to-severe depressive symptoms. TEs and PEs increased the risk of probable PTSD only when SLEs were present.

LIMITATION

The non-random samplinging procedure reduced the generalisability to the entire women population.

CONCLUSIONS

Exposure to social conflicts and pandemics may increase depressive and PTSD symptoms in women. Developing mental health services for women should consider the impact of concurrent major events.

The relation of unrest-related distress with probable depression during and after widespread civil unrest

BACKGROUND

This study investigated whether subjective unrest-related distress was associated with probable depression during and after the 2019 anti-ELAB movement in Hong Kong.

METHODS

Population-representative data were collected from 7157 Hong Kong Chinese in four cross-sectional surveys (July 2019-July 2020). Logistic regression examined the association between subjective unrest-related distress and probable depression (PHQ-9 ⩾ 10), stratified by the number of conflicts/protests across the four timepoints.

RESULTS

Unrest-related distress was positively associated with probable depression across different numbers of conflicts/protests.

CONCLUSION

Unrest-related distress is a core indicator of probable depression. Public health interventions should target at resolving the distress during seemingly peaceful period after unrest.

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.