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Characterization of adult obesity in Florida using the OneFlorida clinical research consortium.
Filipp, S L; Cardel, M; Hall, J; Essner, R Z; Lemas, D J; Janicke, D M; Smith, S R; Nadglowski, J; Troy Donahoo, W; Cooper-DeHoff, R M; Nelson, D R; Hogan, W R; Shenkman, E A; Gurka, M J.
Afiliação
  • Filipp SL; Department of Health Outcomes and Biomedical Informatics, College of Medicine University of Florida Gainesville FL USA.
  • Cardel M; Department of Health Outcomes and Biomedical Informatics, College of Medicine University of Florida Gainesville FL USA.
  • Hall J; Department of Health Outcomes and Biomedical Informatics, College of Medicine University of Florida Gainesville FL USA.
  • Essner RZ; Florida Hospital Orlando FL USA.
  • Lemas DJ; Department of Health Outcomes and Biomedical Informatics, College of Medicine University of Florida Gainesville FL USA.
  • Janicke DM; Department of Clinical and Health Psychology, College of Public Health and Health Professions University of Florida Gainesville FL USA.
  • Smith SR; Florida Hospital Orlando FL USA.
  • Nadglowski J; Adventist Health System Altamonte Springs FL USA.
  • Troy Donahoo W; Obesity Action Coalition Tampa FL USA.
  • Cooper-DeHoff RM; Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, College of Medicine University of Florida Gainesville FL USA.
  • Nelson DR; Department of Pharmacotherapy and Translational Research, College of Pharmacy University of Florida Gainesville FL USA.
  • Hogan WR; Clinical and Translational Science Institute University of Florida Gainesville FL USA.
  • Shenkman EA; Department of Health Outcomes and Biomedical Informatics, College of Medicine University of Florida Gainesville FL USA.
  • Gurka MJ; Department of Health Outcomes and Biomedical Informatics, College of Medicine University of Florida Gainesville FL USA.
Obes Sci Pract ; 4(4): 308-317, 2018 Aug.
Article em En | MEDLINE | ID: mdl-30151226
ABSTRACT

INTRODUCTION:

With obesity rates and obesity-related healthcare costs increasing, policy makers must understand the scope of obesity across populations.

OBJECTIVE:

This study sought to characterize adult obesity using electronic health records (EHRs) available from a statewide clinical data research network, the OneFlorida Clinical Research Consortium, which contains claims and EHR data from over 12 million patients in Florida. The primary aim was to compare EHR-based Florida obesity rates with those rates obtained from the Behavioural Risk Factor Surveillance System (BRFSS).

METHODS:

Body mass index from OneFlorida patient data (2012-2016) was used to characterize obesity among adults 20-79 years old. Obesity rates from both OneFlorida and BRFSS (2013) were reported by demographics and by county.

RESULTS:

Among the 1,344,015 adults in OneFlorida with EHR data and who met inclusion criteria, the obesity rate was 37.1%. Women had higher obesity rates compared with men. Obesity rates varied within racial/ethnic groups, with the highest rate among African-Americans (45.7%). Obesity rates from OneFlorida were consistently higher than those found in BRFSS (overall 27.8%).

CONCLUSIONS:

Utilizing clinical big data available through hospital system and health partner collaborations provides an important view of the extent of obesity. Although these data are available only from healthcare users, they are large in scope, directly measured and are available sooner than commonly used national data sources.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Obes Sci Pract Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Obes Sci Pract Ano de publicação: 2018 Tipo de documento: Article