Evidence map›Paper›PMID 42604053›Full record

ArticleEcology and evolution2026

Cumulative Early-Life Adversities Predict Short- and Long-Term Survival in a

Claudia Fichtel, Peter M Kappeler

Abstract read
In one paragraph

Article in Ecology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Claudia FichtelBehavioral Ecology & Sociobiology Unit German Primate Center, Leibniz Institute for Primate Research Göttingen Germany.ORCID https://orcid.org/0000-0002-8346-2168
Peter M KappelerBehavioral Ecology & Sociobiology Unit German Primate Center, Leibniz Institute for Primate Research Göttingen Germany.ORCID https://orcid.org/0000-0002-4801-487X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adversities in early life compromise fitness components later in life, but the cumulative effects of multiple adversities and their timing across the lifespan remain poorly understood. To contribute comparative data from an independent primate radiation, we leverage long-term demographic data from a wild lemur population to examine the effects of maternal loss, presence of an older sibling, maternal age, group size, temperature and rainfall on survival of 242 infants across the lifespan. We found that differently operationalized cumulative indices of early adversities predicted infant survival but did not predict survival better than single predictor models. Infant survival was reduced by maternal loss, the absence of an older sibling and large group size at death. Survival to adulthood and female longevity were positively associated with higher rainfall during infancy and negatively by larger group sizes at death; infant survival to adulthood also declined with increasing maternal age. Cumulative adversities early in life had no persistent negative long-term effects on survival, but sample sizes decreased in the older age classes. However, rainfall as a proxy for food availability in early life had long-term effects, with higher rainfall increasing the odds of survival to adulthood and female longevity. Hence, social and demographic adversities had stronger effects than environmental ones for early infant survival, but environmental effects in early life also appear to be important drivers of demography and life history in these critically endangered primates.

Indexed as

early‐life adversityfitnesslife historymortalityprimatesPropithecussurvival

Identifiers

PMID42604053
PMCPMC13476699

What OpenQuestion holds

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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.