Evidence map›Paper›PMID 31039722›Full record

ArticleProceedings. Biological sciences2019

Dietary macronutrient content, age-specific mortality and lifespan.

Alistair M Senior, Samantha M Solon-Biet, Victoria C Cogger, David G Le Couteur, Shinichi Nakagawa, David Raubenheimer, Stephen J Simpson

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Carbon Dioxide (CONutrients · 2023
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Diet Composition, Anthropometrics, and Mortality Risk.International journal of environmental research and public health · 2022
    Article
  17. Article
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Alistair M Senior1 Charles Perkins Centre, The University of Sydney , Camperdown, New South Wales 2006 , Australia.
Samantha M Solon-Biet1 Charles Perkins Centre, The University of Sydney , Camperdown, New South Wales 2006 , Australia.
Victoria C Cogger1 Charles Perkins Centre, The University of Sydney , Camperdown, New South Wales 2006 , Australia.
David G Le Couteur1 Charles Perkins Centre, The University of Sydney , Camperdown, New South Wales 2006 , Australia.
Shinichi Nakagawa5 Evolution and Ecology Research Centre and School of Biological, Earth and Environmental Sciences, University of New South Wales , Sydney, New South Wales 2052 , Australia.
David Raubenheimer1 Charles Perkins Centre, The University of Sydney , Camperdown, New South Wales 2006 , Australia.
Stephen J Simpson1 Charles Perkins Centre, The University of Sydney , Camperdown, New South Wales 2006 , Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein and calorie restrictions extend median lifespan in many organisms. However, studies suggest that among-individual variation in the age at death is also affected. Ultimately, both of these outcomes must be caused by effects of nutrition on underlying patterns of age-specific mortality (ASM). Using model life tables, we tested for effects of dietary macronutrients on ASM in mice ( Mus musculus). High concentrations of protein and fat relative to carbohydrates were associated with low life expectancy and high variation in the age at death, a result caused predominantly by high mortality prior to middle age. A lifelong diet comprising the ratio of macronutrients self-selected by mouse (in early adulthood) was associated with low mortality up until middle age, but higher late-life mortality. This pattern results in reasonably high life expectancy, but very low variation in the age at death. Our analyses also indicate that it may be possible to minimize ASM across life by altering the ratio of dietary protein to carbohydrate in the approach to old age. Mortality in early and middle life was minimized at around one-part protein to two-parts carbohydrate, whereas in later life slightly greater than equal parts protein to carbohydrate reduced mortality.

Indexed as

DietAge FactorsAnimalsFemaleLongevityMaleMiceMice, Inbred C57BLNutrientsNutrientsageingcaloriedemographylife historynutritionstandard deviation

Identifiers

PMID31039722
PMCPMC6532506

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.