NATIONAL HEALTH AND NUTRITION EXAMINATION SURVEY (NHANES) ANALYSIS OF THE USA'S OBESE POPULATION AND RELATED COMORBIDITIES
Author(s)
Lee S1, Savant K2, Hsiao C3
1Thomas Jefferson University, Philadelphia, PA, USA, 2Cheers Interactive, Mumbai, India, 3Ethicon, Inc., Cincinnati, OH, USA
OBJECTIVES: To understand the prevalence of both individual and overlapping obesity-related comorbidities in the USA, as well as the patient distribution between different body mass index (BMI) categories across the US population. METHODS: A literature review was conducted to better understand the adult US population that experiences obesity-related comorbidities. NHANES survey data was obtained for 2009-2010, 2011-2012, and 2013-2014 and decoded as per NHANES policy and interpretation guidelines. The population considered for the analysis (16,464 patients total) included those aged 20 years or older, with a BMI above 18.5 kg/m were categorized as Class I obesity, while BMI of 35-40 kg/m was Class II obesity and a BMI of over 40 kg/m was Class III obesity. Obesity-related comorbidities of interest included hypertension, diabetes, cardiovascular disease, and dyslipidemia. Pre-Type 2 diabetes and pre-hypertension were also assessed as comorbidity precursors of interest. If respondents marked “yes” for self-reported data, it was considered to be a comorbid condition. If self-reported data read “no” or “missing,” laboratory data was used to verify health status. RESULTS: Data from a 2014 Lancet pooled analysis was used to estimate a population of 48.5M for Class I obesity, 21.9M for Class II obesity, and 15.3M for Class III obesity. The NHANES analysis indicated that 80% of those in Class I experience obesity-related comorbidities, as well as 82% in Class II and 83% of Class III. Prevalence data for the Class I, Class II, and Class III populations that experience pre-Type 2 Diabetes, pre-hypertension, diabetes, hypertension, dyslipidemia, and combinations of the aforementioned comorbidities were calculated from NHANES data and US population data. CONCLUSIONS: The findings have implications for research about how to best target obesity interventions, based on better understanding the burden of disease and market size.
Conference/Value in Health Info
2018-05, ISPOR 2018, Baltimore, MD, USA
Value in Health, Vol. 21, S1 (May 2018)
Code
PSY25
Topic
Epidemiology & Public Health
Disease
Cardiovascular Disorders, Diabetes/Endocrine/Metabolic Disorders