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Predicting New-Onset Diabetes Mellitus by Component Combinations of Premorbid Metabolic Syndrome among Older Adults in Taiwan.
- Source :
- Journal of Nutrition, Health & Aging; Jun2020, Vol. 24 Issue 6, p650-658, 9p
- Publication Year :
- 2020
-
Abstract
- Metabolic syndrome (MS) was conceptualized to identify people at risk for cardiovascular disease and type 2 diabetes; however, the epidemiology of MS and its combinations of components in older adults remains unclear. Data from the Senior Health Examination Program of the New Taipei City Government in Taiwan in 2014 were obtained for this study. All participants aged 65 years or older and those with a prior history of cardiovascular disease, cerebrovascular disease, or diabetes mellitus were excluded. 29,164 senior citizens were retrieved for this study, and 12,331 (41.28%) of the participants were male. Female participants were more likely to have MS (42.7% vs.31.3%, p <0.001). Female participants with MS were older than those without MS (73.15±6.5 vs. 72.10±6.14 years, p <0.001). Conversely, male participants with MS were younger than those without MS (72.93±6.70 vs. 73.52±6.98 years, p <0.001). The most common combination of MS components was the triad of high blood glucose, high blood pressure and central obesity (25.2% of all participants with MS). Age-related changes in MS component combinations were noted only when central obesity was present. The strongest MS component combination for new-onset diabetes mellitus was high blood glucose, hypertriglyceridemia, reduced HDL-C and central obesity (HR: 5.42, P<0.001). In conclusion, not all component combinations of MS were of the same prognostic impact or the risk for new-onset diabetes mellitus. Further study is needed to develop individualized intervention programs for MS based on risk profiles of older adults is needed. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 12797707
- Volume :
- 24
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- Journal of Nutrition, Health & Aging
- Publication Type :
- Academic Journal
- Accession number :
- 143632479
- Full Text :
- https://doi.org/10.1007/s12603-020-1380-x