Association of compliance with COVID-19 public health measures with depression

An umbrella review of the prevalence of depression during the COVID-19 pandemic: Call to action for post-COVID-19 at the global level

BACKGROUND

Pandemics can lead to mental health problems such as depression. This meta-analysis of meta-analyses aimed to estimate the precise prevalence of depression during the COVID-19 pandemic.

METHODS

Web of Science, PubMed, Scopus, and Embase were searched for published meta-analyses using relevant keywords, such as depression, prevalence, COVID-19, and meta-analysis up to March 18, 2024 according to the PRISMA guidelines. Relevant journals as well as the search engine Google Scholar were manually searched to discover more articles. The AMSTAR tool was used for quality assessment. A random-effects model was used for the analysis. All analyses were conducted using the STATA 17 software.

RESULTS

Of 535 records, 82 meta-analyses were included. The results showed that the overall prevalence of depression was 30% [95% CI: 29-32] with a high heterogeneity (I2: 90.98%). The highest prevalence of depression according to population group was found in medical students (40% [30-49]), specific groups (40% [3-78]), and patients (36% [27-45]). The results of meta-regression based on the different times between the start of COVID-19 and the last date of search in the articles (week) and the prevalence of depression, showed that each past week of Covid-19 increases the prevalence of depression by almost 0.00021% [95% CI: -0.00025, 0.00068], P-value: 0.36, but "time" is not a significant predictor of an increase in depression.

CONCLUSIONS

The results showed that the prevalence of depression was high during the COVID-19 pandemic, particularly among medical students. Policy makers should pay more attention to these groups and those who are at greater risk. Primary mental health interventions and policies are necessary to support the mental health of these individuals during the pandemic.

Understanding attitudes and beliefs regarding COVID-19 vaccines among transitional-aged youth with mental health concerns: a youth-led qualitative study

BACKGROUND

Transitional-aged youth (16-29 years) with mental health concerns have experienced a disproportionate burden of the COVID-19 pandemic. Vaccination is limited in this population; however, determinants of its vaccine hesitancy are not yet thoroughly characterised.

OBJECTIVES

This study aimed to answer the following research question: What are the beliefs and attitudes of youth with mental illness about COVID-19 vaccines, and how do these perspectives affect vaccine acceptance? The study aims to generate findings to inform the development of vaccine resources specific to youth with mental health concerns.

METHODS

A qualitative methodology with a youth engagement focus was used to conduct in-depth semistructured interviews with transitional-aged youth aged 16-29 years with one or more self-reported mental health diagnoses or concerns. Mental health concerns encompassed a wide range of symptoms and diagnoses, including mood disorders, anxiety disorders, neurodevelopmental disorders and personality disorders. Participants were recruited from seven main mental health clinical and support networks across Canada. Transcripts from 46 youth and 6 family member interviews were analysed using thematic analysis.

RESULTS

Two major themes were generated: (1) factors affecting trust in COVID-19 vaccines and (2) mental health influences and safety considerations in vaccine decision-making. Subthemes included trust in vaccines, trust in healthcare providers, trust in government and mistreatment towards racialised populations, and direct and indirect influences of mental health.

CONCLUSIONS

Our analysis suggests how lived experiences of mental illness affected vaccine decision-making and related factors that can be targeted to increase vaccine uptake. Our findings provide new insights into vaccine attitudes among youth with mental health concerns, which is highly relevant to ongoing vaccination efforts for new COVID-19 strains as well as other transmissible diseases and future pandemics. Next steps include cocreating youth-specific public health and clinical resources to encourage vaccination in this population.

Does noncompliance with COVID-19 regulations impact the depressive symptoms of others?

Before vaccines became commonly available, compliance with nonpharmaceutical only preventive measures offered protection against COVID-19 infection. Compliance is therefore expected to have physical health implications for the individual and others. Moreover, in the context of the highly contagious coronavirus, perceived noncompliance can increase the subjective risk assessment of contracting the virus and, as a result, increase psychological distress. However, the implications of (public) noncompliance on the psychological health of others have not been sufficiently explored in the literature. Examining this is of utmost importance in light of the pandemic's elevated prevalence of depressive symptoms across countries. Using nationally representative data from South Africa, we explore the relationship between depressive symptoms and perceived noncompliance. We examine this relationship using a double machine learning approach while controlling for observable selection. Our result shows that the perception that neighbors are noncompliant is correlated with self-reported depressive symptoms. Therefore, in the context of a highly infectious virus, noncompliance has detrimental effects on the wellbeing of others.