Literature DB >> 29235077

Metabolic syndrome and disability in Chinese nonagenarians and centenarians.

Ming Yang1, Hanyue Xu2, Ling Yang3, Jiaojiao Jiang4, Birong Dong5.   

Abstract

BACKGROUND: Little is known about the relationship between metabolic syndrome (MetS) and disability in the oldest old. AIMS: To investigate the possible association between MetS and disability among community-dwelling older adults aged ≥ 90 years.
METHODS: This was a secondary analysis of a cross-sectional study. MetS was defined by the International Diabetes Federation Criteria. Activities of daily living (ADL) and instrumental activities of daily living (IADL) disabilities were evaluated using the physical self-maintenance scale and the Lawton-Brody IADL scale, respectively.
RESULTS: We included 725 participants (mean age: 93.8 ± 3.1 years). The prevalence of MetS was 13.0% in women and 9.8% in men, respectively. In women, ADL and IADL disabilities were more prevalent in the MetS group compared with the non-MetS group (ADL: 43.1 vs. 30.6%, p = 0.044; IADL: 73.8 vs. 59.8%, p = 0.030). After adjusting for relevant confounders, participants with MetS was associated with an increased risk of either ADL (odds ratio [OR] 1.81, 95% confidence interval [CI] 1.22-3.45) or IADL disability (OR 2.12, 95% CI 1.31-4.78) compared with those without MetS. In men, similar results were found with respect to the prevalence of ADL or IADL disability and the adjusted ORs, but the results were not statistically significant.
CONCLUSION: MetS is associated with an increased risk of either ADL or IADL disability in a study population of long-lived adults, especially in women.

Entities:  

Keywords:  Activities of daily living; Disability; Metabolic syndrome

Mesh:

Year:  2017        PMID: 29235077     DOI: 10.1007/s40520-017-0877-6

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   3.636


  2 in total

1.  Metabolic syndrome predicts incident disability and functional decline among Chinese older adults: results from the China Health and Retirement Longitudinal Study.

Authors:  Quan Zhang; Yi Wang; Nan Yu; Hua Ding; Danyu Li; Xinyi Zhao
Journal:  Aging Clin Exp Res       Date:  2021-03-20       Impact factor: 3.636

2.  Disability and Its Influencing Factors among the Elderly in a County, Guangxi Province, China.

Authors:  Shiyi Chen; Jian Qin; You Li; Yi Wei; Bingshuang Long; Jiansheng Cai; Jiexia Tang; Xia Xu; Guoqi Yu; Zhiyong Zhang
Journal:  Int J Environ Res Public Health       Date:  2018-09-09       Impact factor: 3.390

  2 in total

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