Joint daily functional trajectory and risk of new-onset Alzheimer's disease and related dementias in older adults with normal and abnormal weight

日常生活活动 体质指数 阿尔茨海默病 医学 疾病 比例危险模型 痴呆 心理学 老年学 物理疗法 内科学
作者
Ziyang Ren,Lirong Nie,Yushan Du,Tianjing Zhou,Jinfang Sun,Jufen Liu
出处
期刊:Journal of Affective Disorders [Elsevier BV]
卷期号:358: 157-162 被引量:3
标识
DOI:10.1016/j.jad.2024.05.030
摘要

Associations between daily functional trajectories and new-onset all-cause dementia and Alzheimer's disease (AD) and the role of body weight are underexplored. Data were from the Health and Retirement Study (HRS) 1994–2020. Daily function was assessed using (instrumental) activities of daily living ([I]ADLs). All-cause dementia and AD were defined by self- or proxy-reported physician diagnoses. Body weight was assessed using body mass index (BMI) and categorized as normal (18.5 kg/m2 ≤ BMI < 30 kg/m2) and abnormal (BMI < 18.5 kg/m2 or ≥30 kg/m2). The group-based trajectory modeling and Cox proportional hazards regression were utilized. Of 18,763 adults included, 1236 developed new-onset dementia during a 10-year follow-up. The associations of ADL and IADL limitations at baseline with all-cause dementia and AD were much more pronounced in those with abnormal weight (P for interaction < 0.005). Five joint trajectories of ADL and IADL limitations were identified: No (72.7 %), Recovery (4.0 %), Recent emerging (16.4 %), Early emerging (4.8 %), and Severe (2.1 %). Furthermore, the 'Severe' joint trajectory (vs. 'No') was associated with 3.57- and 3.59-times higher risks of new-onset all-cause dementia and AD in participants with abnormal weight (P for interaction = 0.002 and 0.005). Notably, the Recovery joint trajectory (vs. No) was not associated with increased risks of all-cause dementia or AD. Self-/proxy-reported all-cause dementia and AD may introduce misclassification bias. Lifestyle factors were not quantified. BMI at baseline, but not its trajectory, was utilized. Potential reverse causation deserved attention. Body weight control can help reduce the risk of progression from functional limitations to all-cause dementia and AD.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI6.4应助tg2024采纳,获得10
刚刚
wuhu完成签到,获得积分20
刚刚
科研通AI6.2应助meww采纳,获得10
1秒前
狂野的听云完成签到 ,获得积分10
2秒前
粗暴的冬瓜完成签到,获得积分10
3秒前
銘_发布了新的文献求助10
6秒前
6秒前
6秒前
梨园春给梨园春的求助进行了留言
7秒前
赏金猎人John_Wang完成签到,获得积分10
8秒前
靓丽的熠彤完成签到,获得积分10
9秒前
zzy发布了新的文献求助20
9秒前
昏睡的帆布鞋完成签到 ,获得积分10
10秒前
11秒前
11秒前
桃之夭夭完成签到,获得积分10
12秒前
想多多发顶刊完成签到 ,获得积分10
12秒前
煲汤的螃蟹完成签到 ,获得积分10
12秒前
白日焰火发布了新的文献求助10
14秒前
Jason发布了新的文献求助10
14秒前
逆天的矿泉水完成签到,获得积分10
15秒前
研友_8Yo3dn完成签到,获得积分10
17秒前
ARIA发布了新的文献求助10
18秒前
19秒前
明理飞风发布了新的文献求助10
20秒前
仰泳鲫鱼完成签到,获得积分10
21秒前
123发布了新的文献求助10
24秒前
长风发布了新的文献求助10
24秒前
ARIA完成签到,获得积分10
24秒前
哈哈哈哈完成签到,获得积分10
25秒前
songshu完成签到,获得积分10
27秒前
123csu发布了新的文献求助20
28秒前
123654完成签到 ,获得积分10
29秒前
深情安青应助烦烦烦采纳,获得10
29秒前
搜集达人应助强健的季节采纳,获得10
31秒前
31秒前
慕青应助洪伟采纳,获得10
32秒前
鲤鱼念珍完成签到 ,获得积分10
32秒前
haonanchen完成签到,获得积分10
33秒前
Javier发布了新的文献求助10
34秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
How to Design and Conduct an Experiment and Write a Lab Report: Your Complete Guide to the Scientific Method (Step-by-Step Study Skills) 333
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6363290
求助须知:如何正确求助?哪些是违规求助? 8177191
关于积分的说明 17231984
捐赠科研通 5418386
什么是DOI,文献DOI怎么找? 2867035
邀请新用户注册赠送积分活动 1844285
关于科研通互助平台的介绍 1691794