亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Estimating impact of food choices on life expectancy: A modeling study

精制谷物 牛羊肉 预期寿命 全谷物 环境卫生 情感(语言学) 期望理论 食品科学 医学 人口学 生物 心理学 人口 社会学 渔业 社会心理学 沟通
作者
Lars Thore Fadnes,Jan-Magnus Økland,Øystein Ariansen Haaland,Kjell Arne Johansson
出处
期刊:PLOS Medicine [Public Library of Science]
卷期号:19 (2): e1003889-e1003889 被引量:123
标识
DOI:10.1371/journal.pmed.1003889
摘要

Background Interpreting and utilizing the findings of nutritional research can be challenging to clinicians, policy makers, and even researchers. To make better decisions about diet, innovative methods that integrate best evidence are needed. We have developed a decision support model that predicts how dietary choices affect life expectancy (LE). Methods and findings Based on meta-analyses and data from the Global Burden of Disease study (2019), we used life table methodology to estimate how LE changes with sustained changes in the intake of fruits, vegetables, whole grains, refined grains, nuts, legumes, fish, eggs, milk/dairy, red meat, processed meat, and sugar-sweetened beverages. We present estimates (with 95% uncertainty intervals [95% UIs]) for an optimized diet and a feasibility approach diet. An optimal diet had substantially higher intake than a typical diet of whole grains, legumes, fish, fruits, vegetables, and included a handful of nuts, while reducing red and processed meats, sugar-sweetened beverages, and refined grains. A feasibility approach diet was a midpoint between an optimal and a typical Western diet. A sustained change from a typical Western diet to the optimal diet from age 20 years would increase LE by more than a decade for women from the United States (10.7 [95% UI 8.4 to 12.3] years) and men (13.0 [95% UI 9.4 to 14.3] years). The largest gains would be made by eating more legumes (females: 2.2 [95% UI 1.1 to 3.4]; males: 2.5 [95% UI 1.1 to 3.9]), whole grains (females: 2.0 [95% UI 1.3 to 2.7]; males: 2.3 [95% UI 1.6 to 3.0]), and nuts (females: 1.7 [95% UI 1.5 to 2.0]; males: 2.0 [95% UI 1.7 to 2.3]), and less red meat (females: 1.6 [95% UI 1.5 to 1.8]; males: 1.9 [95% UI 1.7 to 2.1]) and processed meat (females: 1.6 [95% UI 1.5 to 1.8]; males: 1.9 [95% UI 1.7 to 2.1]). Changing from a typical diet to the optimized diet at age 60 years would increase LE by 8.0 (95% UI 6.2 to 9.3) years for women and 8.8 (95% UI 6.8 to 10.0) years for men, and 80-year-olds would gain 3.4 years (95% UI females: 2.6 to 3.8/males: 2.7 to 3.9). Change from typical to feasibility approach diet would increase LE by 6.2 (95% UI 3.5 to 8.1) years for 20-year-old women from the United States and 7.3 (95% UI 4.7 to 9.5) years for men. Using NutriGrade, the overall quality of evidence was assessed as moderate. The methodology provides population estimates under given assumptions and is not meant as individualized forecasting, with study limitations that include uncertainty for time to achieve full effects, the effect of eggs, white meat, and oils, individual variation in protective and risk factors, uncertainties for future development of medical treatments; and changes in lifestyle. Conclusions A sustained dietary change may give substantial health gains for people of all ages both for optimized and feasible changes. Gains are predicted to be larger the earlier the dietary changes are initiated in life. The Food4HealthyLife calculator that we provide online could be useful for clinicians, policy makers, and laypeople to understand the health impact of dietary choices.
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
竹寺人尔发布了新的文献求助10
1秒前
yao完成签到,获得积分10
1秒前
Lex发布了新的文献求助10
2秒前
年糕完成签到,获得积分20
11秒前
13秒前
大个应助旧残月采纳,获得10
14秒前
每㐬山风完成签到 ,获得积分10
15秒前
h0jian09完成签到,获得积分10
19秒前
逆光完成签到 ,获得积分10
19秒前
年糕发布了新的文献求助30
20秒前
谷粱安卉完成签到 ,获得积分10
22秒前
研友_Lmb15n完成签到,获得积分10
29秒前
竹寺人尔完成签到,获得积分10
29秒前
30秒前
wangxw完成签到,获得积分10
30秒前
37秒前
爱因斯敏发布了新的文献求助30
37秒前
菜菜完成签到 ,获得积分10
38秒前
旧残月发布了新的文献求助10
42秒前
saber完成签到 ,获得积分10
46秒前
迟迟完成签到,获得积分10
53秒前
1分钟前
11完成签到,获得积分10
1分钟前
充电宝应助Marciu33采纳,获得10
1分钟前
1分钟前
1分钟前
1分钟前
guyuzheng完成签到,获得积分10
2分钟前
爱听歌谷蓝完成签到,获得积分10
2分钟前
2分钟前
Lex发布了新的文献求助50
2分钟前
魔幻的芳完成签到,获得积分10
2分钟前
2分钟前
Akim应助NattyPoe采纳,获得10
2分钟前
火星上的宝马完成签到,获得积分10
2分钟前
Marciu33发布了新的文献求助10
2分钟前
悲凉的忆南完成签到,获得积分10
2分钟前
2分钟前
Jasper应助旧残月采纳,获得10
2分钟前
陈旧完成签到,获得积分10
2分钟前
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
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6021087
求助须知:如何正确求助?哪些是违规求助? 7627056
关于积分的说明 16166128
捐赠科研通 5168889
什么是DOI,文献DOI怎么找? 2766181
邀请新用户注册赠送积分活动 1748805
关于科研通互助平台的介绍 1636261