Dietary diversity and all-cause mortality among Chinese adults aged 65 or older: A community-based cohort study.

医学 混淆 饮食多样性 食品集团 队列研究 人口学 多样性(政治) 比例危险模型 队列 老年学 环境卫生 内科学 生物 生态学 社会学 人类学 粮食安全 农业
作者
Liyuan Tao,Zheng Xie,Tao Huang
出处
期刊:Asia Pacific Journal of Clinical Nutrition [Wiley]
卷期号:29 (1): 152-160 被引量:13
标识
DOI:10.6133/apjcn.202003_29(1).0020
摘要

Background and Objectives: To evaluate the association between dietary diversity and allcause mortality in older adults. Methods and Study Design: 17,949 community-based elderly participants aged ≥65 years in China were included in this cohort study. The baseline consumption frequencies of nine food groups (meat, vegetables, fish, eggs, fruits, legumes, milk, tea, and nuts) were recorded, and the dietary diversity score (0-9) was calculated. Survival status and death date were collected during follow-up. Cox proportional-hazards models were used to assess the association between dietary diversity and all-cause mortality. Results: We identified 8445 death events over 57,685 person-years of follow-up. Compared with participants in the lowest dietary diversity score group (score 0-1), higher dietary diversity scores were associated with lower mortality risk in univariate models. After adjusting for potential confounders, participants in the higher dietary diversity score group had a 9%-30% lower risk in all-cause mortality (p trend <0.001) compared with those in the lowest dietary diversity score group. The inverse relationship between dietary diversity score and all-cause mortality was also significant in four food groups (vegetables, fish, fruits, and nuts). Similar results were observed in sensitivity analyses. Conclusions: Our study showed that dietary diversity was inversely associated with all-cause mortality in the Chinese elderly, especially in the oldest old and men. Therefore, increasing dietary diversity may reduce mortality rates in the older population, and tailored interventions for improving dietary diversity are required to benefit health and survival in them.

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
吃草草没完成签到 ,获得积分10
1秒前
1秒前
慕青的应助被明亮的美女采纳,获得10
1秒前
科研通AI6.4的应助被JM_L采纳,获得10
1秒前
关你peace发布了新的文献求助10
1秒前
Night发布了新的文献求助10
2秒前
yangyangl完成签到,获得积分10
2秒前
2秒前
2秒前
体贴以筠完成签到 ,获得积分10
3秒前
wen完成签到,获得积分20
3秒前
Js发布了新的文献求助10
3秒前
JamesPei的应助被gean采纳,获得10
3秒前
李健的粉丝团团长的应助被YE采纳,获得10
4秒前
4秒前
Andy发布了新的文献求助10
5秒前
5秒前
5秒前
6秒前
槐诗发布了新的文献求助10
6秒前
6秒前
渡人舟举报李娜的求助涉嫌违规
6秒前
6秒前
6秒前
666完成签到 ,获得积分10
7秒前
小蘑菇的应助被wen采纳,获得10
7秒前
汉堡包的应助被稳重面包采纳,获得10
7秒前
奥迪武汉权威地位完成签到,获得积分20
7秒前
8秒前
8秒前
8秒前
852的应助被大咸鱼采纳,获得10
8秒前
大气的雁桃完成签到,获得积分10
9秒前
9秒前
aedi完成签到,获得积分10
9秒前
孙丰权完成签到,获得积分10
9秒前
9秒前
沉默小玉的应助被精明沂采纳,获得10
10秒前
10秒前
jaeger完成签到,获得积分20
10秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
The Art of Interactive Teaching 600
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
CLSI C56QG Examples of Hemolyzed, Icteric, and Lipemic/Turbid Samples Quick Guide 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7799825
求助须知:如何正确求助?哪些是违规求助? 9334827
关于积分的说明 20469797
捐赠科研通 7391154
什么是DOI,文献DOI怎么找? 3326207
关于科研通互助平台的介绍 2473181
邀请新用户注册赠送积分活动 2343874