Please use this identifier to cite or link to this item:
https://doi.org/10.1371/journal.pone.0206424
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dc.title | Predictors of metabolic syndrome in community-dwelling older adults | |
dc.contributor.author | Van Ancum, Jeanine M | |
dc.contributor.author | Jonkman, Nini H | |
dc.contributor.author | van Schoor, Natasja M | |
dc.contributor.author | Tressel, Emily | |
dc.contributor.author | Meskers, Carel GM | |
dc.contributor.author | Pijnappels, Mirjam | |
dc.contributor.author | Maier, Andrea B | |
dc.date.accessioned | 2022-11-30T09:02:01Z | |
dc.date.available | 2022-11-30T09:02:01Z | |
dc.date.issued | 2018-10-31 | |
dc.identifier.citation | Van Ancum, Jeanine M, Jonkman, Nini H, van Schoor, Natasja M, Tressel, Emily, Meskers, Carel GM, Pijnappels, Mirjam, Maier, Andrea B (2018-10-31). Predictors of metabolic syndrome in community-dwelling older adults. PLOS ONE 13 (10). ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0206424 | |
dc.identifier.issn | 1932-6203 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/234994 | |
dc.description.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 and physical performance, both in a cross-sectional cohort (n = 1292) and a longitudinal sub-cohort (n = 218). Results Prevalence and incidence of metabolic syndrome were 37% (n = 479) and 30% (n = 66), respectively. Cross-sectionally, heart disease (OR: 1.91, 95% CI: 1.37–2.65), peripheral artery disease (OR: 2.13, 95% CI: 1.32–3.42), diabetes (OR: 4.74, 95% CI: 2.65–8.48), cerebrovascular accident (OR: 1.92, 95% CI: 1.09–3.37), and a higher Body Mass Index (OR: 1.32, 95% CI: 1.26–1.38) were significant independent predictors of metabolic syndrome. Longitudinally, Body Mass Index (OR: 1.16, 95% CI: 1.05–1.27) was an independent predictor of metabolic syndrome. Conclusion Four age related diseases and a higher Body Mass Index were the only predictors of metabolic syndrome in the cross-sectional cohort, despite the large variety of variables included in the multivariable analysis. In the longitudinal sub-cohort, a higher Body Mass Index was predictive of developing metabolic syndrome. | |
dc.language.iso | en | |
dc.publisher | PUBLIC LIBRARY SCIENCE | |
dc.source | Elements | |
dc.subject | Science & Technology | |
dc.subject | Multidisciplinary Sciences | |
dc.subject | Science & Technology - Other Topics | |
dc.subject | BODY-MASS INDEX | |
dc.subject | PHYSICAL-ACTIVITY | |
dc.subject | WAIST CIRCUMFERENCE | |
dc.subject | MUSCLE STRENGTH | |
dc.subject | US POPULATION | |
dc.subject | SYNDROME METS | |
dc.subject | RISK-FACTORS | |
dc.subject | PREVALENCE | |
dc.subject | HEALTH | |
dc.subject | CUTOFF | |
dc.type | Article | |
dc.date.updated | 2022-11-29T03:08:13Z | |
dc.contributor.department | MEDICINE | |
dc.description.doi | 10.1371/journal.pone.0206424 | |
dc.description.sourcetitle | PLOS ONE | |
dc.description.volume | 13 | |
dc.description.issue | 10 | |
dc.published.state | Published | |
Appears in Collections: | Staff Publications Elements |
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