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

Abstract:

:This study aimed to investigate the clustering patterns of physical activity, sedentary time (ST), and breaks in ST, and the association between the identified clusters at risk for metabolic syndrome associated with obesity in older adults. Participants included 212 users of community health centers in Brazil. A questionnaire about sociodemographic characteristics was used to describe the sample, and physical activity, ST, and breaks in ST were evaluated using accelerometers. Waist circumference was measured as an indicator of the risk for metabolic syndrome. A two-step cluster analysis and logistic regression analysis were 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 be at risk for metabolic syndrome. This study may contribute to a comprehensive understanding of which older adult groups need more attention in the context of community health centers.

journal_name

J Aging Phys Act

authors

Manta SW,Sandreschi PF,Matias TS,Tomicki C,Benedetti TRB

doi

10.1123/japa.2018-0300

subject

Has Abstract

pub_date

2019-12-01 00:00:00

pages

781-786

issue

4

eissn

1063-8652

issn

1543-267X

journal_volume

27

pub_type

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