Association of a 7-year percent change in fat mass and muscle mass with subsequent cognitive dysfunction: the EPIDOS-Toulouse cohort

脂肪量和肌肉量7年百分比变化与后续认知功能障碍的关联:EPIDOS-图卢兹队列研究

阅读:1

Abstract

BACKGROUND: Cognitive dysfunction and changes in body composition share common pathophysiological pathways. The aim of the present paper was to evaluate whether changes in appendicular muscle mass (AMM) and fat mass (FM) are associated factors with an increased risk of cognitive dysfunction in community-dwelling older women. METHODS: A nested case-control study was performed in 181 women aged 75 years and older from a subsample of the Epidemiologie de l'Osteoporose participants from Toulouse. Body composition parameters at inclusion and 7 years later (assessed by dual energy X-ray absorptiometry), and the presence of cognitive dysfunction (dementia and mild cognitive impairment) at 7 years of follow-up, assured by two memory experts based on best clinical practice and validated criteria, were obtained. Multivariate logistic regression models assessed the association of percent change in AMM and FM with risk of cognitive dysfunction. RESULTS: At 7 years of follow-up, 15 participants suffered from dementia, 6 suffered from mild cognitive impairment, and 160 were cognitively normal. Neither body composition changes nor gait speed was found to be statistically associated with cognitive dysfunction after controlling for potential confounders. Only age, over 85 years, was associated with an increased risk of subsequent cognitive impairment (odds ratio 3.10; 95 % confidence interval 1.07-8.87). CONCLUSIONS: No significant association could be evidenced between changes in body composition and cognitive dysfunction. Due to the small sample size, statistical power could be an issue. The study could also suggest the possibility that the risk of cognitive dysfunction is not mediated by changes in body composition.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。