The Interplay between Social and Ecological Determinants of Mental Health for Children and Youth in the Climate Crisis.
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ABSTRACT:
SUBMITTER: Gislason MK
PROVIDER: S-EPMC8123462 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundSocial determinants of health affect health behaviors and outcomes. Youth experiencing homelessness suffer significant deprivation of resources such as inadequate housing, reduced education, poor health care, and decreased economic stability. Inner resources, such as psychological capital, may also be related to health behaviors and health outcomes.ObjectiveIn this study, we sought to describe and explore associations among selected determinants of health and self-reported scores on indicators of psychological capital among youth experiencing homelessness.MethodsThis cross-sectional secondary analysis was conducted with a randomized subsample of 148 youth. We calculated chi-square frequencies to describe the data, classical item analyses to evaluate responses, and correlation tests to examine significance of associations.ResultsYouth in this sample demonstrated that they possess inner resources associated with determinants of health. Education, health care, and social support were significantly associated with attributes of psychological capital (hope, efficacy, resilience, optimism). Sexual minority groups had high representation in this subsample (25.7%), indicating a need for more study and equitable services for this population.ConclusionMore research should be conducted to better understand the associations between determinants of health, psychological capital, and health behaviors among disadvantaged youth to advance health equity initiatives.
| S-EPMC11334383 | biostudies-literature
Project description:BackgroundWith the increased availability of data, a growing number of studies have been conducted to address the impact of social determinants of health (SDOH) factors on population health outcomes. However, such an impact is either examined at the county level or the state level in the United States. The results of analysis at lower administrative levels would be useful for local policy makers to make informed health policy decisions.ObjectiveThis study aimed to investigate the ecological association between SDOH factors and population health outcomes at the census tract level and the city level. The findings of this study can be applied to support local policy makers in efforts to improve population health, enhance the quality of care, and reduce health inequity.MethodsThis ecological analysis was conducted based on 29,126 census tracts in 499 cities across all 50 states in the United States. These cities were grouped into 5 categories based on their population density and political affiliation. Feature selection was applied to reduce the number of SDOH variables from 148 to 9. A linear mixed-effects model was then applied to account for the fixed effect and random effects of SDOH variables at both the census tract level and the city level.ResultsThe finding reveals that all 9 selected SDOH variables had a statistically significant impact on population health outcomes for ≥2 city groups classified by population density and political affiliation; however, the magnitude of the impact varied among the different groups. The results also show that 4 SDOH risk factors, namely, asthma, kidney disease, smoking, and food stamps, significantly affect population health outcomes in all groups (P<.01 or P<.001). The group differences in health outcomes for the 4 factors were further assessed using a predictive margin analysis.ConclusionsThe analysis reveals that population density and political affiliation are effective delineations for separating how the SDOH affects health outcomes. In addition, different SDOH risk factors have varied effects on health outcomes among different city groups but similar effects within city groups. Our study has 2 policy implications. First, cities in different groups should prioritize different resources for SDOH risk mitigation to maximize health outcomes. Second, cities in the same group can share knowledge and enable more effective SDOH-enabled policy transfers for population health.
| S-EPMC10131773 | biostudies-literature
Project description: Not available
| S-EPMC11348082 | biostudies-literature
Project description:The prevalence of opioid use and misuse has provoked a staggering number of deaths over the past two and a half decades. Much attention has focused on individual risks according to various characteristics and experiences. However, broader social and contextual domains are also essential contributors to the opioid crisis such as interpersonal relationships and the conditions of the community and society that people live in. Despite efforts to tackle the issue, the rates of opioid misuse and non-fatal and fatal overdose remain high. Many call for a broad public health approach, but articulation of what such a strategy could entail has not been fully realised. In order to improve the awareness surrounding opioid misuse, we developed a social-ecological framework that helps conceptualise the multivariable risk factors of opioid misuse and facilitates reviewing them in individual, interpersonal, communal and societal levels. Our framework illustrates the multi-layer complexity of the opioid crisis that more completely captures the crisis as a multidimensional issue requiring a broader and integrated approach to prevention and treatment.
| S-EPMC7409444 | biostudies-literature
Project description:ImportanceSocial determinants of health (SDOH) influence child health. However, most previous studies have used individual, small-set, or cherry-picked SDOH variables without examining unbiased computed SDOH patterns from high-dimensional SDOH factors to investigate associations with child mental health, cognition, and physical health.ObjectiveTo identify SDOH patterns and estimate their associations with children's mental, cognitive, and physical developmental outcomes.Design, setting, and participantsThis population-based cohort study included children aged 9 to 10 years at baseline and their caregivers enrolled in the Adolescent Brain Cognitive Development (ABCD) Study between 2016 and 2021. The ABCD Study includes 21 sites across 17 states.ExposuresEighty-four neighborhood-level, geocoded variables spanning 7 domains of SDOH, including bias, education, physical and health infrastructure, natural environment, socioeconomic status, social context, and crime and drugs, were studied. Hierarchical agglomerative clustering was used to identify SDOH patterns.Main outcomes and measuresAssociations of SDOH and child mental health (internalizing and externalizing behaviors) and suicidal behaviors, cognitive function (performance, reading skills), and physical health (body mass index, exercise, sleep disorder) were estimated using mixed-effects linear and logistic regression models.ResultsAmong 10 504 children (baseline median [SD] age, 9.9 [0.6] years; 5510 boys [52.5%] and 4994 girls [47.5%]; 229 Asian [2.2%], 1468 Black [14.0%], 2128 Hispanic [20.3%], 5565 White [53.0%], and 1108 multiracial [10.5%]), 4 SDOH patterns were identified: pattern 1, affluence (4078 children [38.8%]); pattern 2, high-stigma environment (2661 children [25.3%]); pattern 3, high socioeconomic deprivation (2653 children [25.3%]); and pattern 4, high crime and drug sales, low education, and high population density (1112 children [10.6%]). The SDOH patterns were distinctly associated with child health outcomes. Children exposed to socioeconomic deprivation (SDOH pattern 3) showed the worst health profiles, manifesting more internalizing (β = 0.75; 95% CI, 0.14-1.37) and externalizing (β = 1.43; 95% CI, 0.83-2.02) mental health problems, lower cognitive performance, and adverse physical health.ConclusionsThis study shows that an unbiased quantitative analysis of multidimensional SDOH can permit the determination of how SDOH patterns are associated with child developmental outcomes. Children exposed to socioeconomic deprivation showed the worst outcomes relative to other SDOH categories. These findings suggest the need to determine whether improvement in socioeconomic conditions can enhance child developmental outcomes.
| S-EPMC10580157 | biostudies-literature
Project description:OBJECTIVE:Recent reports express concerns about a mental health crisis among postsecondary students. These assertions, however, often arise from surveys conducted in postsecondary settings that lack the broader context of a referent group. The objectives of this study were (1) to assess the mental health status of postsecondary students 18 to 25 years old from 2011 to 2017 and (2) to compare the mental health status of postsecondary students to nonstudents. METHODS:Prevalence was estimated for a set of mental health outcomes using seven annual iterations of the Canadian Community Health Survey (2011 to 2017). Logistic regression was used to derive odds ratio estimates comparing mental health status among postsecondary students and nonstudents, adjusting for age and sex. Random effects metaregression and meta-analyses techniques were used to evaluate trends in prevalence and odds ratio estimates over time. RESULTS:Over the study period, the prevalence of perceived low mental health, diagnosed mood and anxiety disorders, and past-year mental health consultations increased among female students, whereas binge drinking decreased among male students. With the exception of perceived stress, the odds of experiencing each mental health outcome were lower among postsecondary students compared to nonstudents. CONCLUSIONS:These findings do not support the idea that postsecondary students have worse mental health than nonstudents of similar age. The perception of a crisis may arise from greater help-seeking behavior, diminishing stigma, or increasing mental health literacy. Regardless, the observance of these trends provide an opportunity to address a previously latent issue.
| S-EPMC6966257 | biostudies-literature
Project description: Not available
| S-EPMC10306051 | biostudies-literature
Project description:ObjectivesTo examine differences in mental health-related service contacts between immigrant, refugee, racial and ethnic minoritized children and youth, and the extent to which social, and economic characteristics account for group differences.MethodsThe sample for analyses includes 10,441 children and youth aged 4-17 years participating in the 2014 Ontario Child Health Study. The primary caregiver completed assessments of their child's mental health symptoms, perceptions of need for professional help, mental health-related service contacts, experiences of discrimination and sociodemographic and economic characteristics.ResultsAdjusting for mental health symptoms and perceptions of need for professional help, children and youth from immigrant, refugee and racial and ethnic minoritized backgrounds were less likely to have mental health-related service contacts (adjusted odds ratios ranged from 0.54 to 0.79), compared to their non-immigrant peers and those who identified as White. Group differences generally remained the same or widened after adjusting for social and economic characteristics. Large differences in levels of perceived need were evident across non-migrant and migrant children and youth.ConclusionLower estimates of mental health-related service contacts among immigrant, refugee and racial and ethnic minoritized children and youth underscore the importance and urgency of addressing barriers to recognition and treatment of mental ill-health among children and youth from minoritized backgrounds.
| S-EPMC10411367 | biostudies-literature
Project description:Screening children for social determinants of health (SDOHs) has gained attention in recent years, but there is a deficit in understanding the present state of the science. To systematically review SDOH screening tools used with children, examine their psychometric properties, and evaluate how they detect early indicators of risk and inform care. Comprehensive electronic search of PubMed, Cumulative Index to Nursing and Allied Health Literature, Embase, Cochrane Central Register of Controlled Trials, and Web of Science Core Collection. Studies in which a tool that screened children for multiple SDOHs (defined according to Healthy People 2020) was developed, tested, and/or employed. Extraction domains included study characteristics, screening tool characteristics, SDOHs screened, and follow-up procedures. The search returned 6274 studies. We retained 17 studies encompassing 11 screeners. Study samples were diverse with respect to biological sex and race and/or ethnicity. Screening was primarily conducted in clinical settings with a parent or caregiver being the primary informant for all screeners. Psychometric properties were assessed for only 3 screeners. The most common SDOH domains screened included the family context and economic stability. Authors of the majority of studies described referrals and/or interventions that followed screening to address identified SDOHs. Following the Healthy People 2020 SDOH definition may have excluded articles that other definitions would have captured. The extent to which SDOH screening accurately assessed a child's SDOHs was largely unevaluated. Authors of future research should also evaluate if referrals and interventions after the screening effectively address SDOHs and improve child well-being.
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Project description:We aimed to investigate whether daily fluctuations in mental health-relevant Twitter posts are associated with daily fluctuations in mental health crisis episodes. We conducted a primary and replicated time-series analysis of retrospectively collected data from Twitter and two London mental healthcare providers. Daily numbers of 'crisis episodes' were defined as incident inpatient, home treatment team and crisis house referrals between 2010 and 2014. Higher volumes of depression and schizophrenia tweets were associated with higher numbers of same-day crisis episodes for both sites. After adjusting for temporal trends, seven-day lagged analyses showed significant positive associations on day 1, changing to negative associations by day 4 and reverting to positive associations by day 7. There was a 15% increase in crisis episodes on days with above-median schizophrenia-related Twitter posts. A temporal association was thus found between Twitter-wide mental health-related social media content and crisis episodes in mental healthcare replicated across two services. Seven-day associations are consistent with both precipitating and longer-term risk associations. Sizes of effects were large enough to have potential local and national relevance and further research is needed to evaluate how services might better anticipate times of higher risk and identify the most vulnerable groups.
| S-EPMC7005283 | biostudies-literature