FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4210896397> ?p ?o ?g. }

• W4210896397 endingPage "e1003889" @default.
• W4210896397 startingPage "e1003889" @default.
• W4210896397 abstract "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).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.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." @default.
• W4210896397 created "2022-02-09" @default.
• W4210896397 creator A5008073352 @default.
• W4210896397 creator A5009579795 @default.
• W4210896397 creator A5049984983 @default.
• W4210896397 creator A5087517404 @default.
• W4210896397 date "2022-02-08" @default.
• W4210896397 modified "2023-09-29" @default.
• W4210896397 title "Estimating impact of food choices on life expectancy: A modeling study" @default.
• W4210896397 cites W1984625209 @default.
• W4210896397 cites W1986577770 @default.
• W4210896397 cites W1995322708 @default.
• W4210896397 cites W2019694480 @default.
• W4210896397 cites W2049220245 @default.
• W4210896397 cites W2056798933 @default.
• W4210896397 cites W2095864849 @default.
• W4210896397 cites W2100383475 @default.
• W4210896397 cites W2102827419 @default.
• W4210896397 cites W2108057373 @default.
• W4210896397 cites W2113116759 @default.
• W4210896397 cites W2121080336 @default.
• W4210896397 cites W2418984266 @default.
• W4210896397 cites W2549598285 @default.
• W4210896397 cites W2556860644 @default.
• W4210896397 cites W2557707278 @default.
• W4210896397 cites W2580366914 @default.
• W4210896397 cites W2606247503 @default.
• W4210896397 cites W2609492761 @default.
• W4210896397 cites W2735410965 @default.
• W4210896397 cites W2756578555 @default.
• W4210896397 cites W2765483574 @default.
• W4210896397 cites W2766654219 @default.
• W4210896397 cites W2773268832 @default.
• W4210896397 cites W2807970930 @default.
• W4210896397 cites W2884781685 @default.
• W4210896397 cites W2889603857 @default.
• W4210896397 cites W2897257410 @default.
• W4210896397 cites W2899736836 @default.
• W4210896397 cites W2909678677 @default.
• W4210896397 cites W2910251301 @default.
• W4210896397 cites W2915685090 @default.
• W4210896397 cites W2928467655 @default.
• W4210896397 cites W2946624411 @default.
• W4210896397 cites W2977377907 @default.
• W4210896397 cites W3006494999 @default.
• W4210896397 cites W3043470286 @default.
• W4210896397 doi "https://doi.org/10.1371/journal.pmed.1003889" @default.
• W4210896397 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35134067" @default.
• W4210896397 hasPublicationYear "2022" @default.
• W4210896397 type Work @default.
• W4210896397 citedByCount "38" @default.
• W4210896397 countsByYear W42108963972022 @default.
• W4210896397 countsByYear W42108963972023 @default.
• W4210896397 crossrefType "journal-article" @default.
• W4210896397 hasAuthorship W4210896397A5008073352 @default.
• W4210896397 hasAuthorship W4210896397A5009579795 @default.
• W4210896397 hasAuthorship W4210896397A5049984983 @default.
• W4210896397 hasAuthorship W4210896397A5087517404 @default.
• W4210896397 hasBestOaLocation W42108963971 @default.
• W4210896397 hasConcept C133925201 @default.
• W4210896397 hasConcept C142724271 @default.
• W4210896397 hasConcept C144024400 @default.
• W4210896397 hasConcept C149923435 @default.
• W4210896397 hasConcept C150903083 @default.
• W4210896397 hasConcept C15744967 @default.
• W4210896397 hasConcept C18767781 @default.
• W4210896397 hasConcept C188353592 @default.
• W4210896397 hasConcept C2776035688 @default.
• W4210896397 hasConcept C2777108408 @default.
• W4210896397 hasConcept C2777607137 @default.
• W4210896397 hasConcept C2778089274 @default.
• W4210896397 hasConcept C2778996794 @default.
• W4210896397 hasConcept C2908647359 @default.
• W4210896397 hasConcept C2909208804 @default.
• W4210896397 hasConcept C3017554442 @default.
• W4210896397 hasConcept C31903555 @default.
• W4210896397 hasConcept C46312422 @default.
• W4210896397 hasConcept C505870484 @default.
• W4210896397 hasConcept C71924100 @default.
• W4210896397 hasConcept C77805123 @default.
• W4210896397 hasConcept C86803240 @default.
• W4210896397 hasConcept C99454951 @default.
• W4210896397 hasConceptScore W4210896397C133925201 @default.
• W4210896397 hasConceptScore W4210896397C142724271 @default.
• W4210896397 hasConceptScore W4210896397C144024400 @default.
• W4210896397 hasConceptScore W4210896397C149923435 @default.
• W4210896397 hasConceptScore W4210896397C150903083 @default.
• W4210896397 hasConceptScore W4210896397C15744967 @default.
• W4210896397 hasConceptScore W4210896397C18767781 @default.
• W4210896397 hasConceptScore W4210896397C188353592 @default.
• W4210896397 hasConceptScore W4210896397C2776035688 @default.
• W4210896397 hasConceptScore W4210896397C2777108408 @default.
• W4210896397 hasConceptScore W4210896397C2777607137 @default.
• W4210896397 hasConceptScore W4210896397C2778089274 @default.
• W4210896397 hasConceptScore W4210896397C2778996794 @default.
• W4210896397 hasConceptScore W4210896397C2908647359 @default.
• W4210896397 hasConceptScore W4210896397C2909208804 @default.
• W4210896397 hasConceptScore W4210896397C3017554442 @default.

• next