An index of geospatial disadvantage predicts both obesity and unmeasured body weight.

Sheets, Lincoln R; Henderson Kelley, Laura E; Scheitler-Ring, Kristen; Petroski, Gregory F; Barnett, Yan; Barnett, Chris; Kind, Amy J H; Parker, Jerry C

Sheets, Lincoln R; Henderson Kelley, Laura E; Scheitler-Ring, Kristen; Petroski, Gregory F; Barnett, Yan; Barnett, Chris; Kind, Amy J H; Parker, Jerry C.

Afiliação

Sheets LR; School of Medicine, University of Missouri, United States.
Henderson Kelley LE; School of Medicine, University of Missouri, United States.
Scheitler-Ring K; School of Medicine, University of Missouri, United States.
Petroski GF; School of Medicine, University of Missouri, United States.
Barnett Y; Center for Applied Research and Environmental Systems, University of Missouri, United States.
Barnett C; Center for Applied Research and Environmental Systems, University of Missouri, United States.
Kind AJH; School of Medicine and Public Health, University of Wisconsin, United States.
Parker JC; School of Medicine, University of Missouri, United States.

Prev Med Rep ; 18: 101067, 2020 Jun.

Article em En | MEDLINE | ID: mdl-32154094

Palavras-chave

Data quality; Elderly; Geospatial analysis; Obesity risk; Risk prediction; Social determinants

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Prev Med Rep Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

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