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Obesogenic Environments in Youth
Filetype[PDF - 1.04 MB]


Details:
  • Pubmed ID:
    22516502
  • Pubmed Central ID:
    PMC3382037
  • Funding:
    P01-HD31921/HD/NICHD NIH HHS/United States
    P30 ES010126/ES/NIEHS NIH HHS/United States
    R01 HD041375/HD/NICHD NIH HHS/United States
    R01 HD041375/HD/NICHD NIH HHS/United States
    R01 HD041375-04/HD/NICHD NIH HHS/United States
    R01 HD057194/HD/NICHD NIH HHS/United States
    R01 HD057194/HD/NICHD NIH HHS/United States
    R01 HD057194-05/HD/NICHD NIH HHS/United States
    R01 HD39183/HD/NICHD NIH HHS/United States
    R01 HL104580/HL/NHLBI NIH HHS/United States
    R01 HL104580-02/HL/NHLBI NIH HHS/United States
    R24 HD050924/HD/NICHD NIH HHS/United States
    R36-EH000380/EH/NCEH CDC HHS/United States
    T32MH075854-04/MH/NIMH NIH HHS/United States
  • Document Type:
  • Collection(s):
  • Description:
    To effectively prevent and reduce childhood obesity through healthy community design, it is essential to understand which neighborhood environment features influence weight gain in various age groups. However, most neighborhood environment research is cross-sectional, focuses on adults, and is often carried out in small, nongeneralizable geographic areas. Thus, there is a great need for longitudinal neighborhood environment research in diverse populations across the life cycle. This paper describes (1) insights and challenges of longitudinal neighborhood environment research and (2) advancements and remaining gaps in measurement and study design that examine individuals and neighborhoods within the context of the broader community. Literature-based research and findings from the Obesity and Neighborhood Environment Database (ONEdata), a unique longitudinal GIS that is spatially and temporally linked to data in the National Longitudinal Study of Adolescent Health (N=20,745), provide examples of current limitations in this area of research. Findings suggest a need for longitudinal methodologic advancements to better control for dynamic sources of bias, investigate and capture appropriate temporal frameworks, and address complex residential location processes within families. Development of improved neighborhood environment measures that capture relevant geographic areas within complex communities and investigation of differences across urbanicity and sociodemographic composition are needed. Further longitudinal research is needed to identify, refine, and evaluate national and local policies to most effectively reduce childhood obesity.