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
Teneeduu完成签到,获得积分20
刚刚
好多西红柿呀完成签到,获得积分10
1秒前
wanli应助小熊硬唐采纳,获得10
1秒前
科研通AI6.2应助wangyuhao采纳,获得10
3秒前
3秒前
三点完成签到,获得积分10
3秒前
诚心的傲芙完成签到,获得积分10
3秒前
4秒前
温暖的颜演完成签到,获得积分10
5秒前
Ted完成签到,获得积分10
5秒前
端庄白易发布了新的文献求助10
5秒前
背后的万声完成签到 ,获得积分10
6秒前
6秒前
共享精神应助65935604采纳,获得10
6秒前
天天应助zzm采纳,获得20
7秒前
开朗黑猫发布了新的文献求助10
8秒前
8秒前
随机截距应助aaaa采纳,获得10
9秒前
9秒前
科目三应助AL采纳,获得10
10秒前
任成艳发布了新的文献求助10
11秒前
12秒前
BadaVox发布了新的文献求助10
13秒前
13秒前
13秒前
久9完成签到 ,获得积分10
13秒前
Pisces完成签到,获得积分10
13秒前
xiangzaier发布了新的文献求助10
13秒前
0911发布了新的文献求助10
15秒前
hy关闭了hy文献求助
15秒前
15秒前
Orange应助顾顾采纳,获得10
15秒前
海阔天空发布了新的文献求助10
16秒前
17秒前
ly完成签到,获得积分10
17秒前
17秒前
17秒前
19秒前
20秒前
AL发布了新的文献求助10
22秒前
高分求助中
Principles of Economics, 11th Edition 10000
Prescott's Microbiology: 2026 Release ISE 10000
University Physics with Modern Physics, 16th edition 10000
Cronologia da história de Macau 5000
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Interactions of Vowel Quality and Prosody in East Slavic 1000
Matrix Methods in Data Mining and Pattern Recognition 510
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7155877
求助须知:如何正确求助?哪些是违规求助? 8800630
关于积分的说明 18598640
捐赠科研通 6756597
什么是DOI,文献DOI怎么找? 3161349
关于科研通互助平台的介绍 2295880
邀请新用户注册赠送积分活动 2136042