Abstract P215: Activity Behaviors and Cardiometabolic Health Outcomes in People Living With HIV

Abstract

Introduction: Physical activity (PA) and sedentary behavior (SB) are independently associated with cardiometabolic health; data on activity behaviors and cardiometabolic health among people living with HIV (PWH) are limited. Hypothesis: Activity behaviors would differ by age and that not meeting PA Guidelines would be associated with an increased risk of cardiometabolic diseases among PWH. Methods: Using NHANES 2007-08 through 2017-18, PWH (n=125; age 44.3 yrs) were characterized as emerging (18-29 yrs), early (30-44 yrs) and middle (45-59 yrs) adulthood. Achieving Guidelines (≥150 min/wk) was derived from self-reported PA across three domains. SB was reported as time spent sitting. Chronic conditions were high cholesterol, obesity, hypertension, and chronic kidney disease. Prevalence estimates of joint high SB (≥8 h/day) and inactivity (<10 min/wk) were calculated, and regression models were used to estimate differences in behaviors by age and investigate the association between achieving Guidelines and chronic conditions. Results: PWH reported 395.8 min/day of SB with 37.5% spending over 8 h/day sitting. There was no significant difference in SB across lifestage. A total of 67.2% achieved Guidelines although 14% were jointly inactive and highly sedentary. Compared with early adult PWH, middle adult PWH spent more time performing transport-related PA (β= 102.7 min/wk, p =0.009) and less time performing leisure-time PA (β= -211 min/wk, p =0.044) ( Figure ). Compared with PWH meeting Guidelines , those that did not meet Guidelines had higher diastolic blood pressure (β= 6.1 mmHg [CI: 2.6, 9.6]) and higher odds of obesity (OR=2.5[CI: 1.0, 6.4]). Conclusions: Domain-specific differences occurred in transportation and leisure time PA among PWH - a high-risk group for cardiovascular disease. Not meeting the Guidelines resulted in greater odds of obesity and higher diastolic blood pressure. Future research should incorporate device-based measures of movement to understand its relation to chronic disease in PWH.