Evidence map›Paper›PMID 40359036›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Reevaluating the relationship between female sociality and infant survival in wild baboons.

Maria J A Creighton, Brian A Lerch, Elizabeth C Lange, Joan B Silk, Jenny Tung, Elizabeth A Archie, Susan C Alberts

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Maria J A CreightonDepartment of Biology, Duke University, Durham, NC 27708.ORCID 0000-0003-1337-1946
Brian A LerchDepartment of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.ORCID 0000-0003-4894-6834
Elizabeth C LangeDepartment of Biology, Duke University, Durham, NC 27708.ORCID 0000-0001-6834-9207
Joan B SilkSchool of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287.
Jenny TungDepartment of Biology, Duke University, Durham, NC 27708.ORCID 0000-0003-0416-2958
Elizabeth A ArchieDepartment of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556.ORCID 0000-0002-1187-0998
Susan C AlbertsDepartment of Biology, Duke University, Durham, NC 27708.ORCID 0000-0002-1313-488X

Funding

A life course perspective on gut microbiome aging and health in a non-human primate modelR01AG071684 · NIA · UNIVERSITY OF NOTRE DAME · PI ARCHIE, ELIZABETH · 2021 to 2025
$3.2M
A life course perspective on the effects of cumulative early adversity on healthR01AG053330 · NIA · UNIVERSITY OF NOTRE DAME · PI Elizabeth Archie · 2017 to 2026
$3.0M
Gene regulation and social relationships across the life course in a nonhuman primate modelR01AG075914 · NIA · DUKE UNIVERSITY · PI ALBERTS, SUSAN C. · 2021 to 2025
$2.6M
The biodemography of early adversity: social behavioral processes in a wild animal model.R01AG053308 · NIA · DUKE UNIVERSITY · PI ALBERTS, SUSAN C. · 2018 to 2022
$2.2M
Developing insertable cardiac monitors to assess social and environmental effects on the autonomic stress response in a nonhuman primate model of agingR33AG078470 · NIA · UNIVERSITY OF NOTRE DAME · PI Elizabeth Archie · 2024 to 2026
$1.8M
Developing insertable cardiac monitors to assess social and environmental effects on the autonomic stress response in a nonhuman primate model of agingR61AG078470 · NIA · UNIVERSITY OF NOTRE DAME · PI ARCHIE, ELIZABETH · 2022 to 2023
$607k
Canadian Government | Natural Sciences and Engineering Research Council of Canada (NSERC) PGSD3 - 577867 - 2023HHS | National Institutes of Health (NIH) R01AG053308HHS | National Institutes of Health (NIH) R01AG071684HHS | National Institutes of Health (NIH) R01AG075914HHS | National Institutes of Health (NIH) R01AG53330HHS | National Institutes of Health (NIH) R61AG078470NIA NIH HHS R01 AG053308NIA NIH HHS R01 AG053330NIA NIH HHS R01 AG071684NIA NIH HHS R01 AG075914NIA NIH HHS R33 AG078470NIA NIH HHS R61 AG078470
6 · The paper itself

Abstract

Over the past few decades, studies have provided strong evidence that the robust links between the social environment, health, and survival found in humans also extend to nonhuman social animals. A number of these studies emphasize the early life origins of these effects. For example, in several social mammals, more socially engaged mothers have infants with higher rates of survival compared to less socially engaged mothers, suggesting that positive maternal social relationships causally improve offspring survival. Here, we show that the relationship between infant survival and maternal sociality is confounded by previously underappreciated variation in female social behavior linked to changes in reproductive state and the presence of a live infant. Using data from a population of wild baboons living in the Amboseli basin of Kenya-a population where high levels of maternal sociality have previously been linked to improved infant survival-we find that infant- and reproductive state-dependent changes in female social behavior drive a statistically significant relationship between maternal sociality and infant survival. After accounting for these state-dependent changes in social behavior, maternal sociality is no longer positively associated with infant survival in this population. Our results emphasize the importance of considering multiple explanatory pathways-including third-variable effects-when studying the social determinants of health in wild populations.

Indexed as

Maternal BehaviorPapioSocial BehaviorAnimalsAnimals, WildBehavior, AnimalFemaleKenyaReproductionconfoundsfitnessmaternal behaviorprimatessociality

Identifiers

PMID40359036
PMCPMC12107124

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.