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Dataset Information

Predictors of metabolic syndrome in community-dwelling older adults.


ABSTRACT:

Objectives

The metabolic syndrome has been associated with a variety of individual variables, including demographics, lifestyle, clinical measures and physical performance. We aimed to identify independent predictors of the prevalence and incidence of metabolic syndrome in a large cohort of older adults.

Methods

The Longitudinal Aging Study Amsterdam is a prospective cohort including community-dwelling adults aged 55-85 years. Metabolic syndrome was defined according to criteria of the National Cholesterol Education Program Adult Treatment Panel III. The incidence of metabolic syndrome was calculated over a period of three years. Stepwise backward logistic regression analyses were used to identify predictors, including variables for demographics, lifestyle, clinical measures

SUBMITTER: Van Ancum JM 

PROVIDER: S-EPMC6209297 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature