Exploring the association between social support and anxiety during major public emergencies: a meta-analysis of the COVID-19 pandemic.

Objective: The COVID-19 pandemic has prompted a surge in research focusing on mental health issues faced by society, with particular emphasis on the interplay between social support and anxiety. However, the results of these studies have often been controversial. Methods: To address this, we conducted a meta-analysis of 104 studies (N = 107,660) to investigate the relationship between anxiety and social support and the potential moderate variables. Results: Our meta-analysis revealed a negative correlation between social support and anxiety (r = -0.233). The study also demonstrated the variation in the relationship between social support and anxiety was moderated by cultural area (Q = 14.120, p < 0.05) and phrase of the pandemic (Q = 13.678, p < 0.05). Conclusion: The relationship between social support and anxiety can differ across different cultural areas and throughout the phrase of the pandemic. Consequently, we advocate for a nuanced assessment of the role of social support in mitigating public anxiety, taking into account the mediating effects of these factors in the context of major public emergencies.

Residential air pollution, greenspace, and adverse mental health outcomes in the U.S. Gulf Long-term Follow-up Study.

Air pollution and greenness are environmental determinants of mental health, though existing evidence typically considers each exposure in isolation. We evaluated relationships between co-occurring air pollution and greenspace levels and depression and anxiety. We estimated cross-sectional associations among 9015 Gulf Long-term Follow-up Study participants living in the southeastern U.S. who completed the Patient Health Questionnaire-9 (depression: score ≥ 10) and Generalized Anxiety Disorder Questionnaire-7 (anxiety: score ≥ 10). Participant residential addresses were linked to annual average concentrations of particulate matter (1 km PM2.5) and nitrogen dioxide (1 km NO2), as well as satellite-based greenness (2 km Enhanced Vegetation Index (EVI)). We used adjusted log-binomial regression to estimate prevalence ratios (PR) and 95 % confidence intervals (CI) for associations between exposures (quartiles) and depression and anxiety. In mutually adjusted models (simultaneously modeling PM2.5, NO2, and EVI), the highest quartile of PM2.5 was associated with increased prevalence of depression (PR = 1.17, 95 % CI: 1.06-1.29), whereas the highest quartile of greenness was inversely associated with depression (PR = 0.89, 95 % CI: 0.80-0.99). Joint exposure to greenness mitigated the impact of PM2.5 on depression (PRPM only = 1.20, 95 % CI: 1.06-1.36; PRPM+green = 0.98, 95 % CI: 0.83-1.16) and anxiety (PRPM only = 1.10, 95 % CI: 1.00-1.22; PRPM+green = 0.95, 95 % CI: 0.83-1.09) overall and in subgroup analyses. Observed associations were stronger in urbanized areas and among nonwhite participants, and varied by neighborhood deprivation. NO2 exposure was not independently associated with depression or anxiety in this population. Relationships between PM2.5, greenness, and depression were strongest in the presence of characteristics that are highly correlated with lower socioeconomic status, underscoring the need to consider mental health as an environmental justice issue.

Physical and mental health of 40,000 older women in England during the COVID-19 pandemic (2020-2021).

BACKGROUND: To assess factors associated with perceived changes in physical and mental health and with delays in seeking healthcare during the second and third COVID-19 lockdowns in England (2020-2021). METHODS: An online survey of Million Women Study participants collected data on 44,523 women, mean age 76 (SD = 4), October 2020-May 2021. These data were linked to data collected prospectively on Million Women Study participants at recruitment in median year 1998 and at re-surveys in 2011-2013, as well as to hospital admission data from 2017-2019. RESULTS: Of 40,821 participants with complete data on the outcomes of interest, 28% reported worse physical health and 26% worse mental health. After adjustment for age, region, education and survey period, poor/fair self-rated health (adjusted OR 2.71, 95% CI 2.52-2.91), having been told to shield (1.92, 1.79-2.05), obesity (2.17, 2.04-2.31) and other measures of poor health prior to the outbreak were all strongly related to worse physical health, as was being an informal carer (1.47, 1.38-1.56) and having a COVID-19 infection (1.64, 1.53-1.77). Depression (2.31, 2.06-2.58), poor/fair self-rated health (1.98, 1.84-2.13) and being an informal carer (1.69, 95% CI 1.58-1.80) were the factors most strongly related to worse mental health. Having poor/fair self-rated health (2.22, 2.05-2.40), obesity (1.58, 1.47-1.70) and being an informal carer (1.45, 1.34-1.56) were all strongly related to delaying seeking medical care. These associations remained essentially unchanged after exclusion of participants who had a COVID-19 infection. CONCLUSIONS: In a large sample of older women in England, just over a quarter reported a deterioration in their physical and mental health during the national lockdowns. In addition to the expected effect of a COVID-19 infection on physical health, the groups who were most likely to report such a deterioration were those with pre-existing morbidity and those who were caring for others as informal carers.

Interaction between old age and precarious employment on poor mental well-being in workers: Evidence from a nationally representative sample in Korea.

OBJECTIVE: This study examined the relationship between precarious employment (PE) and mental well-being, focusing on age-specific interactions. METHODS: Nationally representative Korean workers (N = 29,961) were surveyed between 2020 and 2021 to collect data on multidimensional PE (categorized as low, moderate, or high) and the WHO-5 well-being index. Workers' ages were classified as young (<35 years), middle-aged (35-54 years), and older (≥55 years). Logistic regression was performed to estimate the odds ratios (ORs) and 95% confidence intervals (CIs). The interaction between PE and age on well-being was examined by including interaction terms in the regression models. RESULTS: The prevalence of poor well-being was 25%, 29%, and 39% for low, moderate, and high precariousness, respectively, whereas it was 26%, 30%, and 39% for young, middle-aged, and older workers, respectively. In the overall sample, the OR (95% CI) of the association between PE and poor well-being was 1.24 (1.17-1.32) for moderate and 1.54 (1.43-1.65) for high precariousness, compared with low precariousness. There was a significant interaction between old age and PE on the odds of poor well-being. Compared with young workers with low PE, middle-aged workers with high PE (OR: 1.85, 95% CI: 1.62-2.10) and older workers with high PE (OR: 2.10, 95% CI: 1.83-2.40) exhibited increased odds of having poor mental well-being. CONCLUSION: PE serves as a social determinant of older workers' psychological well-being. Policy interventions are required to protect older workers' psychological well-being.

Stress and the Consumption of Ultra-Processed Foods during COVID-19's Social Distancing: Are Mental Disorders Mediators in This Association? ELSA-Brasil Results.

The COVID-19 pandemic exacerbated various determinants of mental disorders. Several behavioral changes were observed given this increase, including harmful health consequences, such as excessive consumption of ultra-processed foods (UPFs). To assess this relationship, we investigated the meditational role of symptoms of mental disorders (anxiety and depression) in the association between stress resulting from social distancing during the COVID-19 pandemic and the consumption of UPFs in 3884 Brazilian public employees in a supplementary study of the ELSA-Brasil study. Structural equation models (SEMs) were estimated to assess the direct and indirect effects mediated by symptoms of mental disorders. The results suggested a significant and positive mediational effect of the symptoms of mental disorders on the association between the stress resulting from social distancing and the consumption of UPFs. These findings contribute to informing the need for policies and early interventions in potentially stressful situations, with a focus on the promotion of mental health, and may thus help prevent or reduce the consumption of unhealthy foods.

Sedentary behavior is associated with the mental health of university students during the Covid-19 pandemic, and not practicing physical activity accentuates its adverse effects: cross-sectional study.

BACKGROUND: Movement behaviours, such as sedentary behavior (SB) and physical inactivity, have become a public health issue due to their implications for physical and mental health. The literature indicates that the university environment influences the movement behaviors of university students, and the strategies adopted during the pandemic may have favored a decrease in the practice of physical activity and an increase in the time dedicated to SB in this population. We aimed to evaluate the association of SB and moderate to vigorous leisure-time physical activity (MVPA) with presence of symptoms of mental disorders during the COVID-19 pandemic. METHODS: This is a multicenter survey conducted with undergraduate students from eight Brazilian universities between October 2021 and February 2022 using an online questionnaire. The outcome variable was symptoms of anxiety and depression, assessed by the Depression, Anxiety, and Stress Scale-21. SB was assessed by total sitting time, being that individuals with ≥ 9 h/day were classified with high SB. The practice of MVPA was evaluated based on weekly frequency, duration, and type of exercise. Subsequently, the ratio between the time spent in MVPA (minutes/day) and the time spent in SB (hours/day) was calculated, being considered as cutoff point was the practice of 2.5 min of MVPA for each sedentary hour. To assess the association between the outcome and explanatory variables, multivariable logistic regression was performed. RESULTS: A total of 8,650 students participated in the study, with an average age of 23.9 years (SD: ± 6.34). In the multivariate analysis, the odds of anxiety symptoms [OR: 1.37 (95% CI: 1.24-1.50)] and depression [OR: 1.61 (95% CI: 1.47-1.77)] were higher in individuals with ≥ 9 h of SB per day. In the analysis of the relationship between MVPA and SB, not engaging in 2.5 min of MVPA per hour of SB increases the odds of anxiety symptoms [OR: 1.44 (95% CI: 1.31-1.58)] and depression [OR: 1.74 (95% CI: 1.59-1.92)]. CONCLUSION: The results suggest that SB is a risk factor associated with symptoms of anxiety and depression and that not engaging in MVPA exacerbates the negative effects of SB.

Impact of COVID-19 on individual mental health and maternal health services in Ethiopia: systematic review and meta-analysis.

Background: The COVID-19 pandemic has caused a major outbreak in the 21st century and has led to significant mental health hazards worldwide. To address this issue, a systematic review has been conducted to analyze existing literature on the impact of COVID-19 on the psychological well-being of the general population, as well as the associated risk factors. Methods: A comprehensive search was carried out on PubMed, Embase, Medline, Web of Science, and Scopus databases, covering all available literature up until February 20, 2024. This search was conducted in accordance with the PRISMA guidelines, ensuring a systematic approach. The selection of articles was based on predetermined eligibility criteria, ensuring the inclusion of appropriate and suitable research. In the final analysis, a total of 15 articles focusing on depression and anxiety, 11 articles on stress, and 7 articles on psychological problems were included. These articles specifically examined the outcome variables within the context of English language and specific areas. For the meta-analysis on maternal health services, 11 articles were included for family planning, 25 articles for postnatal care services, 16 articles for institutional delivery, and 14 articles for safe abortion services. These articles were carefully selected for the final pooled analysis. Result: According to a recent systematic review, anxiety, depression, stress, and psychological distress have been prevalent in Ethiopia during the COVID-19 pandemic, with rates of 40, 41, 23, and 41%, respectively. The review also identified various sociodemographic factors that have impacted the country's response to the pandemic, including female gender, age, marital status, incarceration, low income, and lack of social support. Furthermore, the review found that maternal health services have experienced significant reductions during the pandemic. Conclusion: The COVID-19 pandemic has led to a significant increase in psychological distress, which in some cases, is severe enough to require clinical treatment. It is crucial to prioritize efforts to address the negative impact of COVID-19 on mental health as a global public health priority. Additionally, it is important to pay attention to maternal health services during COVID-19 mitigation programs.

Regional trends in mental health inequalities in young people aged 16-25 in the UK and the role of cuts to local government expenditure: Repeated cross-sectional analysis using the British household panel Survey/UK household longitudinal survey.

Young people's mental health globally has been in decline. Because of their low perceived need, young people's services tend to be the first cut when budgets are reduced. There is a lack of evidence on how a reduction in services and opportunities for young people is associated with their mental health. Additionally, how this may be magnified by place and the assets and challenges of place. The aim of this study is to explore trends in young people's mental health measured by GHQ-12 over time in the twelve regions of the UK. We estimated an interrupted time series model using 2010 as a break point from which there was a shift in government policy to a prolonged period of large reductions in central government funding. Repeated cross-sectional data on young people aged 16-25 is used from the British Household Panel Survey and its successor survey UK Household Longitudinal Survey. Results showed a statistically significant reduction in mental health for young people living in the North East, Wales, and the East of England. The North East was the region with the largest reduction in funding and saw the greatest reduction in young people's mental health. Next, we look at how reductions in local government expenditure related to services for children and young people: children's social services, education, transportation, and culture; explain the observed decline in mental health. We employ a Blinder-Oaxaca Decomposition approach comparing young people's mental health between 2011 and 2017. Results show a marginally statistically significant decrease in young people's mental health over this time. Unobserved factors related to transport spending and children's social services explain some of this gap. Area level factors such as deprivation, infrastructure, and existing assets need to be considered when distributing funding for young people's services to avoid exacerbating regional inequalities in mental health.

Constructing prediction models and analyzing factors in suicidal ideation using machine learning, focusing on the older population.

Suicide among the older population is a significant public health concern in South Korea. As the older individuals have long considered suicide before committing suicide trials, it is important to analyze the suicidal ideation that precedes the suicide attempt for intervention. In this study, six machine learning algorithms were employed to construct a predictive model for suicidal thinking and identify key variables. A traditional logistic regression analysis was supplementarily conducted to test the robustness of the results of machine learning. All analyses were conducted using a hierarchical approach to compare the model fit of each model in both machine learning and logistic regression. Three models were established for analysis. In Model 1, socioeconomic, residential, and health behavioral factors were incorporated. Model 2 expanded upon Model 1 by integrating physical health status, and Model 3 further incorporated mental health conditions. The results indicated that the gradient boosting algorithm outperformed the other machine learning techniques. Furthermore, the household income quintile was the most important feature in Model 1, followed by subjective health status, oral health, and exercise ability in Model 2, and anxiety and depression in Model 3. These results correspond to those of the hierarchical logistic regression. Notably, economic and residential vulnerabilities are significant factors in the mental health of the older population with higher instances of suicidal thoughts. This hierarchical approach could reveal the potential target population for suicide interventions.

Applying Digital Technology to Understand Human Experiences of Climate Change Impacts on Food Security and Mental Health: Scoping Review.

BACKGROUND: The global impact of climate change ranges from intense heatwaves to extreme weather events that endanger entire ecosystems and people's way of life. Adverse climate change events place undue stress on food and health systems, with consequences for human food security and mental health status. Ubiquitous digital devices, such as smartphones, have the potential to manage existing and emerging climate-related crises, given their ability to enable rapid response, instant communication, and knowledge sharing. OBJECTIVE: This scoping review aimed to identify digital apps being used to capture or address climate change impacts on food security and mental health to inform the development of a digital citizen science initiative. METHODS: A scoping review was conducted using 3 peer-reviewed databases (PubMed, IEEE Xplore, and Web of Science) and manual gray literature searches of relevant organizational (ie, governmental and nonprofit) websites to identify articles and reports published between January 2012 and July 2023. Three separate searches were conducted in each database to identify digital apps focused on climate change and (1) food security, (2) mental health, and (3) food security and mental health. Two reviewers conducted initial screening, with a third reviewer resolving any discrepancies. Articles focused on climate change impacts on wildlife or agriculture (ie, not human food security) were excluded. Full-text screening was conducted for shortlisted articles, and a final data abstraction table was generated, summarizing key app features, contextual factors, and participant involvement. RESULTS: From the 656 records screened, 14 digital apps met the inclusion criteria. The food security apps (n=7, 50%) aimed to capture traditional knowledge to preserve food systems, conduct food security assessments, and aid users in decreasing food insecurity risk. The mental health apps (n=7, 50%) assessed climate change-related stress and provided users with coping strategies following adverse weather events. No digital apps examined the intersection of climate change, food security, and mental health. Key app features included user-to-user communication (n=5, 36%), knowledge databases (n=5, 36%), data collection and analysis (n=3, 21%), gamification (n=1, 7%), and educational resources (n=2, 14%) to address climate change impacts on food security or mental health. In total, 3 approaches to participant involvement were used across studies, including contributory (n=1, 7%), collaborative (n=1, 7%), and cocreative (n=1, 7%) approaches, to ensure the relevance and use of digital apps. CONCLUSIONS: Most digital apps identified provided a service to citizens to either prevent adverse climate change-related health impacts or manage these effects following an acute event or a natural disaster. The capacity of ubiquitous digital tools to enable near real-time communication, the involvement of various stakeholder groups, and their ability to share relevant educational resources in a timely manner are important for developing tailored climate change adaptation and mitigation strategies across jurisdictions.

Exploring the fear of clinical errors: associations with socio-demographic, professional, burnout, and mental health factors in healthcare workers - A nationwide cross-sectional study.

Background: The fear of clinical errors among healthcare workers (HCW) is an understudied aspect of patient safety. This study aims to describe this phenomenon among HCW and identify associated socio-demographic, professional, burnout and mental health factors. Methods: We conducted a nationwide, online, cross-sectional study targeting HCW in France from May to June 2021. Recruitment was through social networks, professional networks, and email invitations. To assess the fear of making clinical errors, HCW were asked: "During your daily activities, how often are you afraid of making a professional error that could jeopardize patient safety?" Responses were collected on a 7-point Likert-type scale. HCW were categorized into "High Fear" for those who reported experiencing fear frequently ("once a week," "a few times a week," or "every day"), vs. "Low Fear" for less often. We used multivariate logistic regression to analyze associations between fear of clinical errors and various factors, including sociodemographic, professional, burnout, and mental health. Structural equation modeling was used to explore how this fear fits into a comprehensive theoretical framework. Results: We recruited a total of 10,325 HCW, of whom 25.9% reported "High Fear" (95% CI: 25.0-26.7%). Multivariate analysis revealed higher odds of "High Fear" among males, younger individuals, and those with less professional experience. High fear was more notable among physicians and nurses, and those working in critical care and surgery, on night shifts or with irregular schedules. Significant associations were found between "High Fear" and burnout, low professional support, major depressive disorder, and sleep disorders. Conclusions: Fear of clinical errors is associated with factors that also influence patient safety, highlighting the importance of this experience. Incorporating this dimension into patient safety culture assessment could provide valuable insights and could inform ways to proactively enhance patient safety.

Dietary Rhythmicity and Mental Health Among Airline Personnel.

Importance: Misaligned dietary rhythmicity has been associated with metabolic diseases; however, its association with mental health remains largely unexplored. Objective: To examine the association between dietary rhythms and the mental health condition of shift workers, specifically airline crew members. Design, Setting, and Participants: This cross-sectional study analyzed data collected from the Civil Aviation Health Cohort of China, an ongoing large-scale health survey of pilots, flight attendants, and air security officers employed by major airline companies in China. Participants aged 18 to 60 years were invited through text messages to complete a web-based survey. The data collection period was December 2022 to March 2023. Statistical analysis was performed from July 24, 2023, to April 12, 2024. Exposure: Data on timing of breakfast and dinner on workdays and rest days, daily time windows for food intake, and meal and eating jet lags were collected and calculated. Main Outcomes and Measures: Anxiety and depressive symptoms were measured using the 7-item Generalized Anxiety Disorder Assessment and the 9-item Patient Health Questionnaire. Multivariate logistic regressions were performed to evaluate the associations of anxiety and depression with meal timing, eating window time, meal jet lag (ie, delayed meals), and eating jet lag (ie, delayed eating). All models were adjusted for individual socioeconomic, demographic, and lifestyle characteristics. Results: Of the 22 617 participants (median [IQR] age, 29.1 [26.3-33.7] years; 13 712 males [60.6%]), 1755 (7.8%) had anxiety and 2768 (12.2%) had depression. After controlling for confounding factors, having dinner after 8 pm on morning-shift days was associated with increased odds of anxiety (adjusted odds ratio [AOR], 1.78; 95% CI, 1.53-2.05) and depression (AOR, 2.01; 95% CI, 1.78-2.27), compared with consuming dinner before 8 pm. Similar results were observed on night-shift days and rest days. An eating window of less than 12 hours was associated with reduced odds of anxiety (AOR, 0.84; 95% CI, 0.75-0.93) and depression (AOR, 0.81; 95% CI, 0.75-0.89) on morning-shift days; the results remained significant on rest days. Delayed dinner on morning-shift days was associated with increased odds of anxiety (AOR, 1.32; 95% CI, 1.13-1.54) and depression (AOR, 1.39; 95% CI, 1.22-1.58). On night-shift days, delayed dinner was associated with higher odds of anxiety (AOR, 1.22; 95% CI, 1.06-1.39) and depression (AOR, 1.21; 95% CI, 1.08-1.36). On morning-shift days, delayed eating rhythms were associated with higher odds of depression (AOR, 1.35; 95% CI, 1.13-1.61), whereas advanced eating rhythms were associated with lower odds of anxiety (AOR, 0.78; 95% CI, 0.70-0.87). Conclusions and Relevance: This cross-sectional study found that meal timing, long eating window, and meal jet lags were associated with increased odds of depression and anxiety. These findings underscore the need for interventions and supportive policies that help mitigate the adverse implications of shift work and irregular working hours for the mental health of shift workers.

Screen Use Time and Its Association With Mental Health Issues in Young Adults in India: Protocol for a Cross-Sectional Study.

BACKGROUND: Screen use time has increased in the past decade owing to the increased availability and accessibility of digital devices and the internet. Several studies have shown an association between increased screen use time and mental health issues such as anxiety and depression. However, studies in the young adult population-a demographic with high screen use-and in low- and middle-income country settings are limited. OBJECTIVE: This protocol describes a study that aims to measure self-reported screen use times and patterns in young adults (18-24 y) in India and assess if increased screen use time is associated with poorer mental well-being. METHODS: This protocol describes a cross-sectional study of a pan-India, web-based convenience sample of young adults (18-24 y) with access to digital devices with a screen and a minimum of secondary school education. Participants will be recruited through people in the professional networks of the investigators, which includes pediatricians. The survey will also be distributed via the social media pages of our organization (X [X Corp], Instagram [Meta], Facebook [Meta], etc). Sociodemographic details will be collected through a questionnaire designed by the authors; screen use time and patterns will be assessed using an adaptation of the Screen Time Questionnaire to include data on different apps and websites used on digital devices; and mental health parameters will be gauged using the Warwick-Edinburgh Mental Well-Being Scale, Generalized Anxiety Disorder Scale, Perceived Stress Scale, and Patient Health Questionnaire. For statistical analysis, we will consider the following variables: (1) the primary independent variable is screen use time; (2) other independent variables include age, gender, residence: rural or urban, educational qualifications, employment status, stress associated with familial financial status, average sleep time, number of people living in a house or rooms in that house, BMI, substance use, and past psychiatric history; and (3) dependent variables include mental well-being, depression, anxiety, and perceived stress. To quantify the association between screen use time and mental health, we will perform a Bayesian multivariate multiple regression analysis that models the possibility of multiple alternative hypotheses while accounting for relevant sociodemographic covariables. RESULTS: The survey instrument has been designed, and feedback has been obtained from the domain experts and members of our organization whose profile is similar to the potential study participants. The final data received after this study has been conducted will be analyzed and shared. As of January 2023, we have not yet initiated the data collection. CONCLUSIONS: Based on the findings of this study, we will be able to establish a correlation between device- and use-specific screen use time and various mental health parameters. This will provide a direction to develop screen use time and mental health guidelines among young adults. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/39707.

COVID-19 Pandemic Quarantines and Mental Health Among Adolescents in Norway.

Importance: Adolescence is a critical developmental phase when mental health disorders, such as anxiety and depression, often emerge. Stringent public health measures and quarantine mandates during the COVID-19 pandemic could threaten adolescent mental health. Objective: To investigate the associations of public health measures and quarantine experiences with mental distress among Norwegian adolescents and to explore if certain vulnerability factors moderate these associations. Design, Setting, and Participants: This longitudinal cohort study used repeated measures to capture variations in mental distress explained by the stringency of public health measures and quarantine experiences. Data from the Norwegian Mother, Father, and Child cohort study were linked to national health registries and a national stringency index from April 1, 2020, to February 17, 2021. Participant included 7787 Norwegian adolescents aged 16 to 18 years. Data were analyzed from October 2022 to October 2023. Exposures: Stringency index of public health measures and quarantine experiences including recent quarantine (within the last 2 weeks) and quarantine frequency (cumulative number of quarantine episodes). Main Outcome and Measures: Mental distress was measured using the Hopkins Symptom Checklist across 6 data collection waves. Results: In this study, 7787 participants were included in the analysis (4473 female [57%]; mean [SD] age, 17.0 [0.6] years). Stringent public health measures (ß = 0.18; SE, 0.02; P < .001), recent quarantine (ß = 0.11; SE, 0.02; P < .001), and frequent quarantine (ß = 0.08; SE, 0.01; P < .001) were associated with higher levels of mental distress. The associations between public health measures and mental distress were not moderated by sex, age, prepandemic anxiety or depression, or genetic liability for mental health conditions. Frequency of quarantine appeared to be more strongly associated with mental distress among younger adolescents (ß = -0.04; SE, 0.01; P = .008), those with parents with lower education (ß = -0.04; SE, 0.01; P = .007), and those with lower genetic risk for depression (ß = -0.03; SE, 0.01; P = .006). Conclusions and Relevance: In this study, younger adolescents, those with parents with lower education, or those with low genetic liability for depression appeared more vulnerable when being quarantined several times. These findings emphasize the need for targeted support strategies to better protect adolescent well-being during future crises. Adolescents who experienced increased mental distress during the COVID-19 pandemic may be at risk of continued mental health problems and in need of ongoing support.

Screen Media Use and Mental Health of Children and Adolescents: A Secondary Analysis of a Randomized Clinical Trial.

Importance: Excessive screen media use has been associated with poorer mental health among children and adolescents in several observational studies. However, experimental evidence supporting this hypothesis is lacking. Objective: To investigate the effects of a 2-week screen media reduction intervention on children's and adolescents' mental health. Design, Setting, and Participants: This prespecified secondary analysis of a cluster randomized clinical trial with a 2-week follow-up included 89 families (with 181 children and adolescents) from 10 Danish municipalities in the region of Southern Denmark. All study procedures were carried out in the home of the participants. Enrollment began on June 6, 2019, and ended on March 30, 2021. This analysis was conducted between January 1 and November 30, 2023. Intervention: Families were randomly allocated to a screen media reduction group or a control group. The 2-week screen media reduction intervention was designed to ensure a high level of compliance to the reduction in leisure-time screen media use. Participants allocated to the intervention group had to reduce their leisure-time screen media use to 3 hours per week or less per person and hand over smartphones and tablets. Main Outcomes and Measures: The main outcome was the between-group mean difference in change in total behavioral difficulties, measured by the Strengths and Difficulties Questionnaire at 2-week follow-up. Results were estimated using mixed-effects tobit regression models. Analyses were carried out as both intention to treat and complete case. Results: In the sample of 89 families including 181 children and adolescents (intervention group [45 families]: 86 children; mean [SD] age, 8.6 [2.7] years; 42 girls [49%]; control group [44 families]: 95 children; mean [SD] age, 9.5 [2.5] years; 57 girls [60%]), there was a statistically significant between-group mean difference in the total difficulties score, favoring the screen media reduction intervention (-1.67; 95% CI, -2.68 to -0.67; Cohen d, 0.53). The greatest improvements were observed for internalizing symptoms (emotional symptoms and peer problems; between-group mean difference, -1.03; 95% CI, -1.76 to -0.29) and prosocial behavior (between-group mean difference, 0.84; 95% CI, 0.39-1.30). Conclusions and Relevance: This secondary analysis of a randomized clinical trial found that a short-term reduction in leisure-time screen media use within families positively affected psychological symptoms of children and adolescents, particularly by mitigating internalizing behavioral issues and enhancing prosocial behavior. More research is needed to confirm whether these effects are sustainable in the long term. Trial Registration: ClinicalTrials.gov Identifier: NCT04098913.

[MENTAL HEALTH OF CHILDREN AND ADOLESCENTS: MAIN CHARACTERISTICS, SOME THEORETICAL ASPECTS].

According to official figures, almost 1 billion people suffer from mental disorders worldwide, including adolescents 10-19 years old account for about 13% of the global burden of disease in this age group. The current state of the problem of mental health of children and adolescents, which is formed under the influence of environmental factors and is critical for the personal, social and socio-economic development of a person in subsequent stages of life, is considered. The results of monitoring the mental health of the children's population of the Russian Federation, differentiated at the age of 0-14 and 15-17 years, including under the influence of the COVID-19 pandemic, which were the basis for improving the complex of measures for the prevention of mental disorders and disorders of the contingent's behavior. The terminology used is analyzed. The purpose of the study is to analyze the leading trends in recent years of the state and dynamics of statistical indicators of mental health of children and adolescents with an emphasis on understanding the basic conceptual apparatus, theoretical aspects of the problem from the standpoint of specialists in the field of public health and healthcare.

Mental Health Hospitalizations in Canadian Children, Adolescents, and Young Adults Over the COVID-19 Pandemic.

Importance: The COVID-19 pandemic resulted in multiple socially restrictive public health measures and reported negative mental health impacts in youths. Few studies have evaluated incidence rates by sex, region, and social determinants across an entire population. Objective: To estimate the incidence of hospitalizations for mental health conditions, stratified by sex, region, and social determinants, in children and adolescents (hereinafter referred to as youths) and young adults comparing the prepandemic and pandemic-prevalent periods. Design, Setting, and Participants: This Canadian population-based repeated ecological cross-sectional study used health administrative data, extending from April 1, 2016, to March 31, 2023. All youths and young adults from 6 to 20 years of age in each of the Canadian provinces and territories were included. Data were provided by the Canadian Institute for Health Information for all provinces except Quebec; the Institut National d'Excellence en Santé et en Services Sociaux provided aggregate data for Quebec. Exposures: The COVID-19-prevalent period, defined as April 1, 2020, to March 31, 2023. Main Outcomes and Measures: The main outcome measures were the prepandemic and COVID-19-prevalent incidence rates of hospitalizations for anxiety, mood disorders, eating disorders, schizophrenia or psychosis, personality disorders, substance-related disorders, and self-harm. Secondary measures included hospitalization differences by sex, age group, and deprivation as well as emergency department visits for the same mental health conditions. Results: Among Canadian youths and young adults during the study period, there were 218 101 hospitalizations for mental health conditions (ages 6 to 11 years: 5.8%, 12 to 17 years: 66.9%, and 18 to 20 years: 27.3%; 66.0% female). The rate of mental health hospitalizations decreased from 51.6 to 47.9 per 10 000 person-years between the prepandemic and COVID-19-prevalent years. However, the pandemic was associated with a rise in hospitalizations for anxiety (incidence rate ratio [IRR], 1.11; 95% CI, 1.08-1.14), personality disorders (IRR, 1.21; 95% CI, 1.16-1.25), suicide and self-harm (IRR, 1.10; 95% CI, 1.07-1.13), and eating disorders (IRR, 1.66; 95% CI, 1.60-1.73) in females and for eating disorders (IRR, 1.47; 95% CI, 1.31-1.67) in males. In both sexes, there was a decrease in hospitalizations for mood disorders (IRR, 0.84; 95% CI, 0.83-0.86), substance-related disorders (IRR, 0.83; 95% CI, 0.81-0.86), and other mental health disorders (IRR, 0.78; 95% CI, 0.76-0.79). Conclusions and Relevance: This cross-sectional study of Canadian youths and young adults found a rise in anxiety, personality disorders, and suicidality in females and a rise in eating disorders in both sexes in the COVID-19-prevalent period. These results suggest that in future pandemics, policymakers should support youths and young adults who are particularly vulnerable to deterioration in mental health conditions during public health restrictions, including eating disorders, anxiety, and suicidality.