Predictors of metabolic syndrome in community-dwelling older adults

Jeanine M. Van Ancum, Nini H. Jonkman, Natasja M. van Schoor, Emily Tressel, Carel G.M. Meskers, Mirjam Pijnappels, Andrea B. Maier

Research output: Contribution to JournalArticleAcademicpeer-review

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.

Original languageEnglish
Article numbere0206424
Pages (from-to)1-12
Number of pages12
JournalPLoS ONE
Volume13
Issue number10
DOIs
Publication statusPublished - 31 Oct 2018

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Independent Living
metabolic syndrome
Body Mass Index
body mass index
Medical problems
Logistics
Accidents
Aging of materials
Education
Cholesterol
Life Style
incidence
Incidence
lifestyle
Demography
demographic statistics
Peripheral Arterial Disease
heart diseases
Longitudinal Studies
stroke

Cite this

Van Ancum, J. M., Jonkman, N. H., van Schoor, N. M., Tressel, E., Meskers, C. G. M., Pijnappels, M., & Maier, A. B. (2018). Predictors of metabolic syndrome in community-dwelling older adults. PLoS ONE, 13(10), 1-12. [e0206424]. https://doi.org/10.1371/journal.pone.0206424
Van Ancum, Jeanine M. ; Jonkman, Nini H. ; van Schoor, Natasja M. ; Tressel, Emily ; Meskers, Carel G.M. ; Pijnappels, Mirjam ; Maier, Andrea B. / Predictors of metabolic syndrome in community-dwelling older adults. In: PLoS ONE. 2018 ; Vol. 13, No. 10. pp. 1-12.
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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.",
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Van Ancum, JM, Jonkman, NH, van Schoor, NM, Tressel, E, Meskers, CGM, Pijnappels, M & Maier, AB 2018, 'Predictors of metabolic syndrome in community-dwelling older adults' PLoS ONE, vol. 13, no. 10, e0206424, pp. 1-12. https://doi.org/10.1371/journal.pone.0206424

Predictors of metabolic syndrome in community-dwelling older adults. / Van Ancum, Jeanine M.; Jonkman, Nini H.; van Schoor, Natasja M.; Tressel, Emily; Meskers, Carel G.M.; Pijnappels, Mirjam; Maier, Andrea B.

In: PLoS ONE, Vol. 13, No. 10, e0206424, 31.10.2018, p. 1-12.

Research output: Contribution to JournalArticleAcademicpeer-review

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Van Ancum JM, Jonkman NH, van Schoor NM, Tressel E, Meskers CGM, Pijnappels M et al. Predictors of metabolic syndrome in community-dwelling older adults. PLoS ONE. 2018 Oct 31;13(10):1-12. e0206424. https://doi.org/10.1371/journal.pone.0206424