Evidence map›Paper›PMID 22456889›Full record

ArticleProceedings. Biological sciences2012

Life-history theory, chronic childhood illness and the timing of first reproduction in a British birth cohort.

David Waynforth

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  9. Modeling the evolution of sensitive periods.Developmental cognitive neuroscience · 2020
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  17. Adverse Childhood Environment: Relationship With Sexual Risk Behaviors and Marital Status in a Large American Sample.Evolutionary psychology : an international journal of evolutionary approaches to psychology and behavior
    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

1 author.

David WaynforthDepartment of Population Health and Primary Care, The Norwich Medical School, University of East Anglia, Norwich, Norfolk NR4 7TJ, UK. d.waynforth@uea.ac.uk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Life-history theoretical models show that a typical evolutionarily optimal response of a juvenile organism to high mortality risk is to reach reproductive maturity earlier. Experimental studies in a range of species suggest the existence of adaptive flexibility in reproductive scheduling to maximize fitness just as life-history theory predicts. In humans, supportive evidence has come from studies comparing neighbourhoods with different mortality rates, historical and cross-cultural data. Here, the prediction is tested in a novel way in a large (n = 9099), longitudinal sample using data comparing age at first reproduction in individuals with and without life-expectancy-reducing chronic disease diagnosed during childhood. Diseases selected for inclusion as chronic illnesses were those unlikely to be significantly affected by shifting allocation of effort away from reproduction towards survival; those which have comparatively large effects on mortality and life expectancy; and those which are not profoundly disabling. The results confirmed the prediction that chronic disease would associate with early age at first reproduction: individuals growing up with a serious chronic disease were 1.6 times more likely to have had a first child by age 30. Analysis of control variables also confirmed past research findings on links between being raised father-absent and early pubertal development and reproduction.

Indexed as

Life ExpectancyMaternal AgeMortalityAdolescentAdultChildChild, PreschoolChronic DiseaseCohort StudiesFather-Child RelationsFemaleHumansLongitudinal StudiesMaleModels, BiologicalReproduction

Identifiers

PMID22456889
PMCPMC3385472

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.