Journal article
Predictors of metabolic syndrome in community-dwelling older adults
JM Van Ancum, NH Jonkman, NM Van Schoor, E Tressel, CGM Meskers, M Pijnappels, AB Maier
Plos One | PUBLIC LIBRARY SCIENCE | Published : 2018
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 id..
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Awarded by Horizon 2020 Framework Programme
Funding Acknowledgements
This work was part of the PreventIT and PANINI research projects, funded by the European Union's Horizon 2020 research and innovation programme [689238, 675003]. The Longitudinal Aging Study Amsterdam was supported by a grant from the Netherlands Ministry of Health Welfare and Sports, Directorate of Long-Term Care. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.