Clustering of Physical Activity and Sedentary Behavior associated to Risk for Metabolic Syndrome in Older Adults.

This study aimed to investigate the clustering patterns of physical activity (PA), sedentary time (ST), and breaks in sedentary time (BST) and the association between the identified clusters with risk for metabolic syndrome associated with obesity in older adults. Participants included 212 users of community health centers (CHC) in Brazil. A questionnaire about sociodemographic characteristics was used to describe the sample, and PA, ST and BST were evaluated using accelerometers. Waist circumference was measured as an indicator of the risk for metabolic syndrome. A two-step cluster and logistic regression analysis was conducted. The following four clusters were identified: sitters: 37.7%, inactive: 28.3%, active: 25.5%, and all-day sitters/lightly active: 8.5%. Participants in the active cluster were 60% less likely to have risk for metabolic syndrome. This study may contribute to a comprehensive understanding of which older adults groups need more attention in the context of CHC. PMID: 30859890 [PubMed - as supplied by publisher]
Source: Journal of Aging and Physical Activity - Category: Geriatrics Tags: J Aging Phys Act Source Type: research