Loretta Dipietro1, Yuqing Zhang2, Meghan Mavredes2, Samuel J Simmens3, Jessica A Whiteley4, Laura L Hayman5, Jamie Faro6, Steven K Malin7, Ginger Winston8, Melissa A Napolitano. 1. Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University, Washington, DC. 2. Department of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington, DC. 3. Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC. 4. Department of Exercise and Health Sciences, University of Massachusetts Boston, Boston, MA. 5. Department of Nursing, University of Massachusetts Boston, Boston, MA. 6. Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA. 7. Department of Kinesiology, University of Virginia, Charlottesville, VA. 8. Medical Faculty Associates, The George Washington University, Washington, DC.
Abstract
INTRODUCTION: There is a paucity of information on the clustering of cardiometabolic risk factors in young adults and how this clustering may vary based on whether or not they perform sufficient levels of physical activity. METHODS: We analyzed baseline data from 346 young adults (23.3 ± 4.4 yr) participating in the Healthy Body Healthy U clinical trial from 2015 to 2018. Cardiometabolic risk factors were measured according to standard procedures and moderate- to vigorous-intensity physical activity (MVPA) was determined by accelerometry. A cardiometabolic clustering score (ranging from 0 to 5) was created from five biomarkers according to whether or not a standard clinical risk cut point was exceeded (0, no; 1, yes): abdominal circumference (>102 cm (men) or >88 cm (women)), hemoglobin A1c (≥5.7%), HDL cholesterol (<40 mg·dL (men) or <50 mg·dL (women)), systolic blood pressure (≥130 mm Hg), and diastolic blood pressure (≥85 mm Hg). Cardiometabolic dysregulation (CD) was defined as a cardiometabolic clustering score ≥3. Multiple logistic regression determined the independent association between level of MVPA and CD, while adjusting for sex, race/ethnicity, sedentary time, and smoking. RESULTS: The prevalence of CD was 18% (22% in men, 17% in women). We observed a nonlinear graded association between MVPA and CD. Participants performing 150-300 min·wk of MVPA significantly lowered their odds of CD by 66% (odds ratio, 0.34; 95% confidence interval, 0.16-0.75), whereas those exceeding 300 min·wk lowered their odds by 61% (odds ratio, 0.39; 95% confidence interval, 0.18-0.86) compared with those performing <150 min·wk, independent of obesity and the other covariables. CONCLUSION: Recommended levels of moderate-intensity physical activity is significantly associated with lower odds of CD and thus may prevent or diminish the need for expensive pharmaceutical treatment over the remainder of the life-span.
INTRODUCTION: There is a paucity of information on the clustering of cardiometabolic risk factors in young adults and how this clustering may vary based on whether or not they perform sufficient levels of physical activity. METHODS: We analyzed baseline data from 346 young adults (23.3 ± 4.4 yr) participating in the Healthy Body Healthy U clinical trial from 2015 to 2018. Cardiometabolic risk factors were measured according to standard procedures and moderate- to vigorous-intensity physical activity (MVPA) was determined by accelerometry. A cardiometabolic clustering score (ranging from 0 to 5) was created from five biomarkers according to whether or not a standard clinical risk cut point was exceeded (0, no; 1, yes): abdominal circumference (>102 cm (men) or >88 cm (women)), hemoglobin A1c (≥5.7%), HDL cholesterol (<40 mg·dL (men) or <50 mg·dL (women)), systolic blood pressure (≥130 mm Hg), and diastolic blood pressure (≥85 mm Hg). Cardiometabolic dysregulation (CD) was defined as a cardiometabolic clustering score ≥3. Multiple logistic regression determined the independent association between level of MVPA and CD, while adjusting for sex, race/ethnicity, sedentary time, and smoking. RESULTS: The prevalence of CD was 18% (22% in men, 17% in women). We observed a nonlinear graded association between MVPA and CD. Participants performing 150-300 min·wk of MVPA significantly lowered their odds of CD by 66% (odds ratio, 0.34; 95% confidence interval, 0.16-0.75), whereas those exceeding 300 min·wk lowered their odds by 61% (odds ratio, 0.39; 95% confidence interval, 0.18-0.86) compared with those performing <150 min·wk, independent of obesity and the other covariables. CONCLUSION: Recommended levels of moderate-intensity physical activity is significantly associated with lower odds of CD and thus may prevent or diminish the need for expensive pharmaceutical treatment over the remainder of the life-span.
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