ArticleSocial psychiatry and psychiatric epidemiology2014
Translating multilevel theory into multilevel research: challenges and opportunities for understanding the social determinants of psychiatric disorders.
Article in Social psychiatry and psychiatric epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Comparing two measures of neighborhood quality and internalizing and externalizing behaviors in the adolescent brain cognitive development study.Social psychiatry and psychiatric epidemiology · 2024Article
- Adolescent individual, school, and neighborhood influences on young adult diabetes risk.Health & place · 2023Article
- Restoring the missing person to personalized medicine and precision psychiatry.Frontiers in neuroscience · 2023Article
- Whole Person Modeling: a transdisciplinary approach to mental health research.Discover mental health · 2023Review
- Development of multifactor index for assessing quality of life of a tribal population of India: multilevel analysis approach.BMC public health · 2021Article
- Cross-classified multilevel models (CCMM) in health research: A systematic review of published empirical studies and recommendations for best practices.SSM - population health · 2020Review
- The Role of Neighborhood Social Characteristics on the Epigenome-Why the Lack of Investigations?JAMA network open · 2020Article
- The relationship between statistical power and predictor distribution in multilevel logistic regression: a simulation-based approach.BMC medical research methodology · 2019Article
- The ecology of multilevel intervention research.Translational behavioral medicine · 2018Article
- Suicidal Ideation and Social Capital: Community Matters.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2017Article
- Measuring psychosocial environments using individual responses: an application of multilevel factor analysis to examining students in schools.Prevention science : the official journal of the Society for Prevention Research · 2015Article
- Disentangling the relative influence of schools and neighborhoods on adolescents' risk for depressive symptoms.American journal of public health · 2015Article
- Modeling contextual effects using individual-level data and without aggregation: an illustration of multilevel factor analysis (MLFA) with collective efficacy.Population health metrics · 2015Article
- Using cross-classified multilevel models to disentangle school and neighborhood effects: an example focusing on smoking behaviors among adolescents in the United States.Health & place · 2015Article
- Does poor health predict moving, move quality, and desire to move?: A study examining neighborhood selection in US adolescents and adults.Health & place · 2014Article
- Characterizing Unusual Spatial Clusters of Male Mental Health Emergencies Occurring During the First National COVID-19 "Lockdown" in the East Midlands Region, UK: A Geospatial Analysis of Ambulance 999 Data.American journal of men's healthArticle
- Short Sleep Duration and Screen-Based Activities: A Longitudinal Multilevel Analysis.American journal of lifestyle medicineArticle
- Genetic determinants of depression: recent findings and future directions.Harvard review of psychiatryReview
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5 authors.
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Abstract
introductionThe observation that features of the social environment, including family, school, and neighborhood characteristics, are associated with individual-level outcomes has spurred the development of dozens of multilevel or ecological theoretical frameworks in epidemiology, public health, psychology, and sociology, among other disciplines. Despite the widespread use of such theories in etiological, intervention, and policy studies, challenges remain in bridging multilevel theory and empirical research.
methodsThis paper set out to synthesize these challenges and provide specific examples of methodological and analytical strategies researchers are using to gain a more nuanced understanding of the social determinants of psychiatric disorders, with a focus on children's mental health. To accomplish this goal, we begin by describing multilevel theories, defining their core elements, and discussing what these theories suggest is needed in empirical work. In the second part, we outline the main challenges researchers face in translating multilevel theory into research. These challenges are presented for each stage of the research process. In the third section, we describe two methods being used as alternatives to traditional multilevel modeling techniques to better bridge multilevel theory and multilevel research. These are (1) multilevel factor analysis and multilevel structural equation modeling; and (2) dynamic systems approaches.
conclusionsThrough its review of multilevel theory, assessment of existing strategies, and examination of emerging methodologies, this paper offers a framework to evaluate and guide empirical studies on the social determinants of child psychiatric disorders as well as health across the life course.
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