ArticleObesity science & practice2018
Characterization of adult obesity in Florida using the OneFlorida clinical research consortium.
Article in Obesity science & practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- Global warming and obesity: External heat exposure as a modulator of energy balance.FASEB bioAdvances · 2025Review
- Mapping Obesity Coverage in Florida Counties Using Interactive Web-Based Mapping Tools to Support Targeted Policy and Intervention Efforts.Journal of obesity · 2025Article
- Population Digital Health: Continuous Health Monitoring and Profiling at Scale.Online journal of public health informatics · 2024Article
- US public health surveillance, reimagined.Learning health systems · 2024Article
- Article
- Does the Intersectionality of Race/Ethnicity and Type 2 Diabetes Increase the Odds of a Cervical Cancer Diagnosis? A Nested Case-Control Study of a Florida Statewide Multisite EHR Database.Healthcare (Basel, Switzerland) · 2023Article
- Utilization of Electronic Health Records for Chronic Disease Surveillance: A Systematic Literature Review.Cureus · 2023Review
- Geographic disparities in COVID-19 testing and outcomes in Florida.BMC public health · 2023Article
- The use of electronic health records to inform cancer surveillance efforts: a scoping review and test of indicators for public health surveillance of cancer prevention and control.BMC medical informatics and decision making · 2022Article
- The OneFlorida Data Trust: a centralized, translational research data infrastructure of statewide scope.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- An Iterative Process for Identifying Pediatric Patients With Type 1 Diabetes: Retrospective Observational Study.JMIR medical informatics · 2020Article
- The Common Antidiabetic Drug Metformin Reduces Odds of Developing Age-Related Macular Degeneration.Investigative ophthalmology & visual science · 2019Article
- Characterization of adult obesity in Florida using the OneFlorida clinical research consortium.Obesity science & practice · 2018Article
- Objectively measured pediatric obesity prevalence using the OneFlorida Clinical Research Consortium.Obesity research & clinical practiceArticle
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
introductionWith obesity rates and obesity-related healthcare costs increasing, policy makers must understand the scope of obesity across populations.
objectiveThis 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).
methodsBody 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.
resultsAmong 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%).
conclusionsUtilizing 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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