Evidence map›Paper›PMID 27022071›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2016

Understanding variation in human fertility: what can we learn from evolutionary demography?

Rebecca Sear, David W Lawson, Hillard Kaplan, Mary K Shenk

Open access · bronzeAbstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
7.4field-weighted citation impact, top 3% of its field
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

28 citing papers in PubMed, 108 citations in OpenAlex.

  1. Two universal pathways in demographic transition.Evolutionary human sciences · 2026
    Article
  2. Unveiling Mexico's Demographic Transitions.Studies in family planning · 2025
    Article
  3. Article
  4. Life Course Timing of Mortality Exposure and Fertility Behavior.Population research and policy review · 2025
    Article
  5. Article
  6. Article
  7. Effects of a traditionally preparedFrontiers in nutrition · 2025
    Article
  8. Stratified Fertility: Age Norms, Ideals, Behaviors, and the Role of National Contexts.European journal of population = Revue europeenne de demographie · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Fitness and Power: The Contribution of Genetics to the History of Differential Reproduction.Evolutionary psychology : an international journal of evolutionary approaches to psychology and behavior · 2021
    Article
  16. Machine learning for sperm selection.Nature reviews. Urology · 2021
    Review
  17. Article
  18. Article
  19. Article
  20. Review
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

4 authors at 3 institutions in 2 countries.

Rebecca SearDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, UK rebecca.sear@lshtm.ac.uk.
David W LawsonDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Hillard KaplanDepartment of Anthropology, University of New Mexico, Albuquerque, NM, USA.
Mary K ShenkDepartment of Anthropology and Life Sciences & Society Program, University of Missouri, Columbia, MO, USA.ORCID http://orcid.org/0000-0003-2002-1469
London School of Hygiene & Tropical Medicine · GBUniversity of Missouri · USUniversity of New Mexico · US

Funding

Medical Research Council MR/K021672/1
6 · The paper itself

Abstract

Decades of research on human fertility has presented a clear picture of how fertility varies, including its dramatic decline over the last two centuries in most parts of the world. Why fertility varies, both between and within populations, is not nearly so well understood. Fertility is a complex phenomenon, partly physiologically and partly behaviourally determined, thus an interdisciplinary approach is required to understand it. Evolutionary demographers have focused on human fertility since the 1980s. The first wave of evolutionary demographic research made major theoretical and empirical advances, investigating variation in fertility primarily in terms of fitness maximization. Research focused particularly on variation within high-fertility populations and small-scale subsistence societies and also yielded a number of hypotheses for why fitness maximization seems to break down as fertility declines during the demographic transition. A second wave of evolutionary demography research on fertility is now underway, paying much more attention to the cultural and psychological mechanisms underpinning fertility. It is also engaging with the complex, multi-causal nature of fertility variation, and with understanding fertility in complex modern and transitioning societies. Here, we summarize the history of evolutionary demographic work on human fertility, describe the current state of the field, and suggest future directions.

Indexed as

Biological EvolutionDemographyFertilityHumansResearchevolutionary anthropologyevolutionary demographyfertility

Identifiers

PMID27022071
PMCPMC4822424
OpenAlexW2314120891

What OpenQuestion holds

Textmetadata
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.