Elizabeth A Mumford1, Weiwei Liu, Bruce G Taylor, Sandra Ramey. 1. National Opinion Research Center at the University of Chicago, Bethesda, Maryland (Dr Mumford, Dr Liu, Dr Taylor); University of Iowa, Iowa City, Iowa (Dr Ramey).
Abstract
OBJECTIVE: To assess comorbidity across five common health conditions. METHODS: Surveys were collected from a probability-based sample of US law enforcement officers, and latent class models estimated for hypertension (HTN), high blood cholesterol (LDL), diabetes (DM), a gastrointestinal disorder (GI), and sleep apnea (SA). RESULTS: The majority of officers (69.4%) were classified in a Healthy profile. One in four officers (23.7%) were classified in a LDL-HTN-DM profile. About 7% of officers were classified in a GI-SA-HTN profile. Age, sex, body mass index (BMI), exercise, and working a rotating shift assignment distinguished class membership. CONCLUSION: Most officers reported good health. Law enforcement administrative or clinical assessments using readily accessible measures might be informative in identifying risk categories of need for more targeted prevention and treatment support.
OBJECTIVE: To assess comorbidity across five common health conditions. METHODS: Surveys were collected from a probability-based sample of US law enforcement officers, and latent class models estimated for hypertension (HTN), high blood cholesterol (LDL), diabetes (DM), a gastrointestinal disorder (GI), and sleep apnea (SA). RESULTS: The majority of officers (69.4%) were classified in a Healthy profile. One in four officers (23.7%) were classified in a LDL-HTN-DM profile. About 7% of officers were classified in a GI-SA-HTN profile. Age, sex, body mass index (BMI), exercise, and working a rotating shift assignment distinguished class membership. CONCLUSION: Most officers reported good health. Law enforcement administrative or clinical assessments using readily accessible measures might be informative in identifying risk categories of need for more targeted prevention and treatment support.