Evidence map›Paper›PMID 26412877›Full record

ArticleKolner Zeitschrift fur Soziologie und Sozialpsychologie

The Biodemography of Fertility: A Review and Future Research Frontiers.

Melinda C Mills, Felix C Tropf

Abstract read
In one paragraph

Article in Kolner Zeitschrift fur Soziologie und Sozialpsychologie. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Only Children and Low Family Size Ideals: Did the One-Child Policy Create a "Low-Fertility Trap" in China?European journal of population = Revue europeenne de demographie · 2025
    Article
  2. Article
  3. Stratified Fertility: Age Norms, Ideals, Behaviors, and the Role of National Contexts.European journal of population = Revue europeenne de demographie · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Sexual dimorphism in the genetic influence on human childlessness.European journal of human genetics : EJHG · 2017
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. What if fertility decline is not permanent? The need for an evolutionarily informed approach to understanding low fertility.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016
    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

2 authors.

Melinda C MillsDepartment of Sociology and Nuffield College, University of Oxford, 1 New Road, OX1 1NF Oxford, UK.
Felix C TropfDepartment of Sociology, Interuniversity Center for Social Science Theory and Methodology (ICS), University of Groningen, Grote Rozenstraat 31, 9712 Groningen, TG The Netherlands.

Funding

European Research Council 615603HSRD VA SDR 10-012
6 · The paper itself

Abstract

The social sciences have been reticent to integrate a biodemographic approach to the study of fertility choice and behaviour, resulting in theories and findings that are largely socially-deterministic. The aim of this paper is to first reflect on reasons for this lack of integration, provide a review of previous examinations, take stock of what we have learned until now and propose future research frontiers. We review the early foundations of proximate determinants followed by behavioural genetic (family and twin) studies that isolated the extent of genetic influence on fertility traits. We then discuss research that considers gene and environment interaction and the importance of cohort and country-specific estimates, followed by multivariate models that explore motivational precursors to fertility and education. The next section on molecular genetics reviews fertility-related candidate gene studies and their shortcomings and on-going work on genome wide association studies. Work in evolutionary anthropology and biology is then briefly examined, focusing on evidence for natural selection. Biological and genetic factors are relevant in explaining and predicting fertility traits, with socio-environmental factors and their interaction still key in understanding outcomes. Studying the interplay between genes and the environment, new data sources and integration of new methods will be central to understanding and predicting future fertility trends.

Indexed as

Age at first birthBehavioural geneticsFertilityGeneticsMolecular geneticsNatural selectionNumber of children ever born

Identifiers

PMID26412877
PMCPMC4577548

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.