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Author Notes:

Izzuddin M. Aris, PhD, Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Dr, Ste 401E, Boston, MA 02215. Email: izzuddin_aris@harvardpilgrim.org

Dr Aris had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Concept and design: Aris, Perng, Dabelea, Joseph, James, Oken. Acquisition, analysis, or interpretation of data: Aris, Padula, Alshawabkeh, Vélez-Vega, Aschner, Camargo, Sussman, Dunlop, Elliott, Ferrara, Zhu, Joseph, Singh, Hartert, Cacho, Karagas, North-Reid, Lester, Kelly, Ganiban, Chu, O’Connor, Fry, Norman, Trasande, Restrepo, James, Oken. Drafting of the manuscript: Aris, Vélez-Vega, Lester, Fry, Restrepo. Critical revision of the manuscript for important intellectual content: Aris, Perng, Dabelea, Padula, Alshawabkeh, Aschner, Camargo, Sussman, Dunlop, Elliott, Ferrara, Zhu, Joseph, Singh, Hartert, Cacho, Karagas, North-Reid, Kelly, Ganiban, Chu, O’Connor, Fry, Norman, Trasande, James, Oken. Statistical analysis: Aris, Perng. Obtained funding: Aris, Dabelea, Alshawabkeh, Aschner, Camargo, Dunlop, Elliott, Ferrara, Singh, Hartert, Karagas, Lester, Ganiban, O’Connor, Fry, Oken. Administrative, technical, or material support: Dabelea, Vélez-Vega, Dunlop, Singh, Cacho, Lester, O’Connor, Trasande, Restrepo, James, Oken. Supervision: Elliott, Singh, Fry, Oken.

Dr Alshawabkeh reported receiving grants from Northeastern University during the conduct of the study. Dr Aschner reported owning stock in Gilead Sciences outside the submitted work. Dr Sussman reported receiving grants from the Brain and Behavior Research Foundation and the National Institute on Drug Abuse during the conduct of the study. Dr Singh reported serving on the advisory board of Incyte Corporation and the data safety monitoring board of Siolta Therapeutics outside the submitted work. Dr Hartert reported receiving personal fees from Pfizer and Sanofi outside the submitted work. No other disclosures were reported.

Subjects:

Keywords:

  • Science & Technology
  • Life Sciences & Biomedicine
  • Medicine, General & Internal
  • General & Internal Medicine
  • CARDIOVASCULAR RISK
  • ADOLESCENT HEALTH
  • OVERWEIGHT
  • ENVIRONMENT
  • ADULTHOOD
  • WEIGHT
  • GROWTH
  • GAIN

Associations of Neighborhood Opportunity and Social Vulnerability With Trajectories of Childhood Body Mass Index and Obesity Among US Children

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Journal Title:

JAMA NETWORK OPEN

Volume:

Volume 5, Number 12

Publisher:

, Pages E2247957-E2247957

Type of Work:

Article | Final Publisher PDF

Abstract:

Importance: Physical and social neighborhood attributes may have implications for children's growth and development patterns. The extent to which these attributes are associated with body mass index (BMI) trajectories and obesity risk from childhood to adolescence remains understudied. Objective: To examine associations of neighborhood-level measures of opportunity and social vulnerability with trajectories of BMI and obesity risk from birth to adolescence. Design, Setting, and Participants: This cohort study used data from 54 cohorts (20677 children) participating in the Environmental Influences on Child Health Outcomes (ECHO) program from January 1, 1995, to January 1, 2022. Participant inclusion required at least 1 geocoded residential address and anthropometric measure (taken at the same time or after the address date) from birth through adolescence. Data were analyzed from February 1 to June 30, 2022. Exposures: Census tract-level Child Opportunity Index (COI) and Social Vulnerability Index (SVI) linked to geocoded residential addresses at birth and in infancy (age range, 0.5-1.5 years), early childhood (age range, 2.0-4.8 years), and mid-childhood (age range, 5.0-9.8 years). Main Outcomes and Measures: BMI (calculated as weight in kilograms divided by length [if aged <2 years] or height in meters squared) and obesity (age- and sex-specific BMI ≥95th percentile). Based on nationwide distributions of the COI and SVI, Census tract rankings were grouped into 5 categories: very low (<20th percentile), low (20th percentile to <40th percentile), moderate (40th percentile to <60th percentile), high (60th percentile to <80th percentile), or very high (≥80th percentile) opportunity (COI) or vulnerability (SVI). Results: Among 20677 children, 10 747 (52.0%) were male; 12 463 of 20 105 (62.0%) were White, and 16 036 of 20 333 (78.9%) were non-Hispanic. (Some data for race and ethnicity were missing.) Overall, 29.9% of children in the ECHO program resided in areas with the most advantageous characteristics. For example, at birth, 26.7% of children lived in areas with very high COI, and 25.3% lived in areas with very low SVI; in mid-childhood, 30.6% lived in areas with very high COI and 28.4% lived in areas with very low SVI. Linear mixed-effects models revealed that at every life stage, children who resided in areas with higher COI (vs very low COI) had lower mean BMI trajectories and lower risk of obesity from childhood to adolescence, independent of family sociodemographic and prenatal characteristics. For example, among children with obesity at age 10 years, the risk ratio was 0.21 (95% CI, 0.12-0.34) for very high COI at birth, 0.31 (95% CI, 0.20-0.51) for high COI at birth, 0.46 (95% CI, 0.28-0.74) for moderate COI at birth, and 0.53 (95% CI, 0.32-0.86) for low COI at birth. Similar patterns of findings were observed for children who resided in areas with lower SVI (vs very high SVI). For example, among children with obesity at age 10 years, the risk ratio was 0.17 (95% CI, 0.10-0.30) for very low SVI at birth, 0.20 (95% CI, 0.11-0.35) for low SVI at birth, 0.42 (95% CI, 0.24-0.75) for moderate SVI at birth, and 0.43 (95% CI, 0.24-0.76) for high SVI at birth. For both indices, effect estimates for mean BMI difference and obesity risk were larger at an older age of outcome measurement. In addition, exposure to COI or SVI at birth was associated with the most substantial difference in subsequent mean BMI and risk of obesity compared with exposure at later life stages. Conclusions and Relevance: In this cohort study, residing in higher-opportunity and lower-vulnerability neighborhoods in early life, especially at birth, was associated with a lower mean BMI trajectory and a lower risk of obesity from childhood to adolescence. Future research should clarify whether initiatives or policies that alter specific components of neighborhood environment would be beneficial in preventing excess weight in children..

Copyright information:

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
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