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1.
Pediatr Obes ; 14(4): e12483, 2019 04.
Artigo em Inglês | MEDLINE | ID: mdl-30515979

RESUMO

BACKGROUND: Among adolescents, obesity and the metabolic syndrome (MetS) contribute to adult cardiovascular disease risk. By parent report, obesity prevalence in the USA was highest in the South. OBJECTIVES: The aim of this study was to determine the prevalence of obesity and MetS by US division and region. METHODS: We used in-person assessment of 4600 US adolescents age 12-19 years participating in the National Health and Nutrition Examination Survey, 1999-2014. RESULTS: Prevalence of obesity was highest in the East North Central division (21.3%) and the three census divisions in the South (all >20%), compared with lower prevalence in the Mountain and New England divisions (both <15%). MetS was most prevalent in the two divisions in the Midwest (both >10%) and lowest in the Mountain and New England divisions (both <6%). For the amount of obesity in each division, there was a higher prevalence of MetS in the West North Central division (obesity 17.1%, MetS 13.6%) and lower prevalence in the East South Central (obesity 23.5%, MetS 6.6%) and South Atlantic divisions (obesity 20.4%, MetS 6.7%). CONCLUSIONS: The degree of obesity-related and MetS-related risk among adolescents in the Midwest is higher than suggested from previous parent-reported weight data. The Midwest and South may warrant particularly strong cardiovascular disease prevention efforts.


Assuntos
Síndrome Metabólica/epidemiologia , Obesidade Infantil/epidemiologia , Adolescente , Índice de Massa Corporal , Criança , Estudos Transversais , Feminino , Humanos , Masculino , Inquéritos Nutricionais , Prevalência , Estados Unidos/epidemiologia
2.
Obes Sci Pract ; 4(4): 308-317, 2018 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-30151226

RESUMO

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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