Ryan R Bailey1, Allison Phad2, Ryan McGrath3, Debra Haire-Joshu4. 1. Washington University in St. Louis, Brown School of Social Work, Campus Box 1196, One Brookings Drive, St. Louis, MO, 63110, USA. Electronic address: baileyr@wustl.edu. 2. Washington University in St. Louis, Brown School of Social Work, Campus Box 1196, One Brookings Drive, St. Louis, MO, 63110, USA. Electronic address: allisonphad@wustl.edu. 3. North Dakota State University, Department of Health, Nutrition, and Exercise Sciences, NDSU Dept. 2620, PO Box 6050, Fargo, ND, 58108, USA. Electronic address: ryan.mcgrath@ndsu.edu. 4. Washington University in St. Louis, Brown School of Social Work, Campus Box 1196, One Brookings Drive, St. Louis, MO, 63110, USA. Electronic address: djoshu@wustl.edu.
Abstract
BACKGROUND: History of stroke increases cardiometabolic risk, which can be exacerbated by the presence of unhealthy lifestyle factors. Population-based estimates of lifestyle risk factors in people with stroke are lacking but could be used to inform research, policy, and healthcare practice. OBJECTIVE: To compare population-based estimates of the prevalence of five lifestyle risk factors-low fruit and vegetable consumption, insufficient physical activity, smoking, heavy alcohol consumption, and overweight/obesity-among U.S. adults with and without stroke. METHODS: Representative data from noninstitutionalized adults aged ≥18 years (stroke, n = 37,225; no stroke, n = 851,607) from the 2015 and 2017 Behavioral Risk Factor Surveillance System (BRFSS) were used to estimate prevalence of individual and total number of risk factors. Logistic regression models were used to determine the odds of lifestyle risk factors in adults with stroke, adjusting for sex, age, ethnicity, marital status, education, income, and disability. RESULTS: Prevalence and adjusted odds ratios (AOR) were higher in individuals with stroke compared to those without stroke for insufficient physical activity (56.5% vs. 49.5%, AOR: 1.14) and smoking (30.1% vs. 16.6%, AOR: 1.16), but lower for heavy alcohol consumption (5.4% vs. 6.1%, AOR: 0.76). Prevalence for low fruit and vegetable consumption (51.7% vs. 46.0%) and overweight/obesity (70.2% vs. 64.5%) was higher among adults with stroke, but differences were attenuated by demographic characteristics. Additionally, clustering of 4-5 lifestyle risk factors was higher in adults with stroke (9.0% vs. 5.3%, AOR: 1.12). CONCLUSION: Additional research and healthcare interventions are needed to improve lifestyle risk factors in adults with stroke.
BACKGROUND: History of stroke increases cardiometabolic risk, which can be exacerbated by the presence of unhealthy lifestyle factors. Population-based estimates of lifestyle risk factors in people with stroke are lacking but could be used to inform research, policy, and healthcare practice. OBJECTIVE: To compare population-based estimates of the prevalence of five lifestyle risk factors-low fruit and vegetable consumption, insufficient physical activity, smoking, heavy alcohol consumption, and overweight/obesity-among U.S. adults with and without stroke. METHODS: Representative data from noninstitutionalized adults aged ≥18 years (stroke, n = 37,225; no stroke, n = 851,607) from the 2015 and 2017 Behavioral Risk Factor Surveillance System (BRFSS) were used to estimate prevalence of individual and total number of risk factors. Logistic regression models were used to determine the odds of lifestyle risk factors in adults with stroke, adjusting for sex, age, ethnicity, marital status, education, income, and disability. RESULTS: Prevalence and adjusted odds ratios (AOR) were higher in individuals with stroke compared to those without stroke for insufficient physical activity (56.5% vs. 49.5%, AOR: 1.14) and smoking (30.1% vs. 16.6%, AOR: 1.16), but lower for heavy alcohol consumption (5.4% vs. 6.1%, AOR: 0.76). Prevalence for low fruit and vegetable consumption (51.7% vs. 46.0%) and overweight/obesity (70.2% vs. 64.5%) was higher among adults with stroke, but differences were attenuated by demographic characteristics. Additionally, clustering of 4-5 lifestyle risk factors was higher in adults with stroke (9.0% vs. 5.3%, AOR: 1.12). CONCLUSION: Additional research and healthcare interventions are needed to improve lifestyle risk factors in adults with stroke.
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