Evidence map›Paper›PMID 30966883›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2019

A case for environmental statistics of early-life effects.

Willem E Frankenhuis, Daniel Nettle, Sasha R X Dall

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. A single brief cue leaves a day-long internal state imprint in planarians.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  5. Review
  6. Effects of developmental and adult environments on ageing.Evolution; international journal of organic evolution · 2022
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  7. Article
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  9. Article
  10. Article
  11. Article
  12. Everyday music in infancy.Developmental science · 2021
    Article
  13. Animal cognition in an urbanised world.Frontiers in ecology and evolution · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. The developmental support hypothesis: adaptive plasticity in neural development in response to cues of social support.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Review
  18. Life-history theory in psychology and evolutionary biology: one research programme or two?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Review
  19. The impact of learning opportunities on the development of learning and decision-making: an experiment with passerine birds.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  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

3 authors.

Willem E Frankenhuis1 Behavioural Science Institute, Radboud University , Nijmegen 6500 HE , The Netherlands.
Daniel Nettle2 Centre for Behaviour and Evolution and Institute of Neuroscience, Newcastle University , Newcastle upon Tyne NE1 7RU , UK.
Sasha R X Dall3 Centre for Ecology and Conservation, University of Exeter , Penryn TR10 9FE , UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is enduring debate over the question of which early-life effects are adaptive and which ones are not. Mathematical modelling shows that early-life effects can be adaptive in environments that have particular statistical properties, such as reliable cues to current conditions and high autocorrelation of environmental states. However, few empirical studies have measured these properties, leading to an impasse. Progress, therefore, depends on research that quantifies cue reliability and autocorrelation of environmental parameters in real environments. These statistics may be different for social and non-social aspects of the environment. In this paper, we summarize evolutionary models of early-life effects. Then, we discuss empirical data on environmental statistics from a range of disciplines. We highlight cases where data on environmental statistics have been used to test competing explanations of early-life effects. We conclude by providing guidelines for new data collection and reflections on future directions. This article is part of the theme issue 'Developing differences: early-life effects and evolutionary medicine'.

Indexed as

Adaptation, PhysiologicalBiological EvolutionFetal DevelopmentBiostatisticsHumansModels, Biologicaldevelopmentearly-life effectsenvironmental statisticsevolutionsensitive periods

Identifiers

PMID30966883
PMCPMC6460088

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.