Patterns of Social Determinants of Health and Child Mental Health, Cognition, and Physical Health

Author:

Xiao Yunyu1,Mann J. John23,Chow Julian Chun-Chung4,Brown Timothy T.5,Snowden Lonnie R.5,Yip Paul Siu-Fai67,Tsai Alexander C.89,Hou Yu1,Pathak Jyotishman1,Wang Fei1,Su Chang1

Affiliation:

1. Department of Population Health Sciences, Weill Cornell Medicine, New York, New York

2. Departments of Psychiatry and Radiology, Columbia University Irving Medical Center, Columbia University, New York, New York

3. Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York

4. School of Social Welfare, University of California, Berkeley

5. School of Public Health, University of California, Berkeley

6. Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China

7. Hong Kong Jockey Club Centre for Suicide Research and Prevention, Hong Kong, China

8. Center for Global Health and Mongan Institute, Massachusetts General Hospital, Boston

9. Harvard Medical School, Boston, Massachusetts

Abstract

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.

Publisher

American Medical Association (AMA)

Subject

Pediatrics, Perinatology and Child Health

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