Abstract 4135206: Patterns of Lifestyle Risk Behaviors for Cardiovascular Disease in Family Caregivers: A Latent Class Analysis

Introduction: Lifestyle risk behaviors for cardiovascular disease (CVD) often co-occur. However, little is known about their behavioral patterns among family caregivers, a population at high risk for CVD. Aims: To identify distinct latent classes of caregivers of lifestyle risk behaviors for CVD and to examine the individual characteristics associated with membership in the identified latent classes. Methods: This study included 643 unpaid family caregivers from the 2019 Health Information National Trends Survey 5 Cycle 3. The assessed lifestyle risk behaviors included cigarette use, non-abstinence from alcohol, low physical activity, long sedentary time, and low fruit and vegetable consumption. These behaviors were dichotomized based on established guidelines or cut-off points. Latent class analysis was performed to identify latent classes based on these lifestyle risk behaviors among caregivers. Subsequently, multinomial logistic regression was used to investigate socio-demographic, health-related, and caregiving characteristics associated with the latent class membership. Results: Three distinct classes were identified (mean age = 55±16 years; 59.3% female; 57.1% non-Hispanic white): “overall healthy, but non-abstainer” (Class 1, 17.1%; reference), “overall unhealthy” (Class 2, 64.1%), and “inactive, but healthy eaters” (Class 3, 18.8%). In unadjusted multinomial logistic regression models, caregivers reporting greater financial hardship (relative risk ratio [95% CI] = 2.5 [1.0-5.9]), higher psychological distress (3.7 [1.9-7.3]), poorer sleep quality (3.3 [1.6-6.8]), longer caregiving hours (2.1 [1.1-3.9]), and providing dementia care (2.3 [1.3-4.3]) were more likely to belong to Class 2, relative to Class 1. In the adjusted model including the significant characteristics above and controlling for age and gender, psychological distress (2.7 [1.2-5.9]) remained significant. No characteristics were significantly associated with membership in Class 3, relative to Class 1. Conclusions: Lifestyle risk behaviors for CVD among caregivers may cluster in distinct patterns that vary by individual characteristics. Caregivers experiencing psychological distress may be particularly at risk for engaging in lifestyle risk behaviors. Our novel findings underscore the importance of adaptive lifestyle modification interventions that target caregiver subgroups with different patterns of health behaviors to promote their cardiovascular health.