Evidence map›Paper›PMID 40359976›Full record

ArticleProceedings. Biological sciences2025

Demography of grandmothering: a case study in Agta foragers.

Abigail E Page, Mark Dyble, Andrea Migliano, Nikhil Chaudhary, Sylvain Viguier, Daniel Major-Smith

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Review
  2. Demography of grandmothering: a case study in Agta foragers.Proceedings. Biological sciences · 2025
    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

6 authors.

Abigail E PageDivision of Psychology, Brunel University London, Uxbridge Campus, London, UK.ORCID 0000-0002-0973-1569
Mark DybleDepartment of Archaeology, University of Cambridge, Cambridge, UK.ORCID 0000-0001-6861-1631
Andrea MiglianoDepartment of Anthropology, University of Zurich, Zurich, Switzerland.ORCID 0000-0003-4364-2735
Nikhil ChaudharyDepartment of Archaeology, University of Cambridge, Cambridge, UK.
Sylvain ViguierGraphcore, London, UK.
Daniel Major-SmithPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0001-6467-2023

Funding

John Templeton FoundationLeverhulme TrustTempleton Religion Trust
6 · The paper itself

Abstract

Grandmothers are often presented as key carers due to low costs and high inclusive fitness returns. Empirically, however, grandmothers are not consistently important. Understanding the factors that promote, or hinder, grandmothering is an important next step. We explore the demographic predictors of the low levels of grandmothering in Agta hunter-gatherers (78 children with 29 grandmothers). Due to generational reproductive timing, grandmothers still had dependent children until, on average 52, creating reproductive overlap. The minimal levels of grandmaternal investment after the age of 60 are explained by declining health and high mortality. This means the 'helping window' for grandmothering only spans 7 years. Yet grandmothers are still limited by multiple dependent grandchildren in this period, given high fertility. We suggest then that Agta grandmothering is constrained by (i) reproductive overlap and (ii) grandchildren competition. Accordingly, we tested how (i) the number of children and (ii) grandchildren associated with grandmothering using Bayesian mixed-effect models. We found moderate to strong evidence that more children/grandchildren reduced investment in each grandchild. Consequently, whether Agta grandmothers help appears dependent on demographic schedules, which vary widely both within and between populations. Future formal demographic modelling will then help shed light on the evolution of grandmothering in humans.

Indexed as

GrandparentsBayes TheoremDemographyFemaleHumansMiddle AgedReproductionAgtaallomotheringdemographygrandmotheringhunter–gathererspost-reproductive lifespan

Identifiers

PMID40359976
PMCPMC12074804

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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.