Evidence map›Paper›PMID 37587948›Full record

ArticleEvolutionary human sciences2023

Sex, age, and family structure influence dispersal behaviour after a forced migration.

Jenni J Kauppi, Simon N Chapman, Jenni E Pettay, Mirkka Lahdenperä, Virpi Lummaa, John Loehr

Abstract read
In one paragraph

Article in Evolutionary human sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Jenni J KauppiDepartment of Biology, University of Turku, 20014 Turku, Finland.ORCID https://orcid.org/0000-0003-3853-7930
Simon N ChapmanINVEST Flagship Research Centre, University of Turku, 20014 Turku, Finland.ORCID https://orcid.org/0000-0003-2342-3383
Jenni E PettayINVEST Flagship Research Centre, University of Turku, 20014 Turku, Finland.ORCID https://orcid.org/0000-0002-7768-5883
Mirkka LahdenperäDepartment of Biology, University of Turku, 20014 Turku, Finland.ORCID https://orcid.org/0000-0003-0062-6284
Virpi LummaaDepartment of Biology, University of Turku, 20014 Turku, Finland.ORCID https://orcid.org/0000-0002-2128-7587
John LoehrUniversity of Helsinki, 00014 Helsinki, Finland.ORCID https://orcid.org/0000-0002-6212-0273

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dispersal does not only mean moving from one environment to another, but can also refer to shifting from one social group to another. Individual characteristics such as sex, age and family structure might influence an individual's propensity to disperse. In this study, we use a unique dataset of an evacuated World War II Finnish population, to test how sex, age, number of siblings and birth order influence an individual's dispersal away from their own social group at a time when society was rapidly changing. We found that young women dispersed more than young men, but the difference decreased with age. This suggests that young men might benefit more from staying near a familiar social group, whereas young women could benefit more from moving elsewhere to find work or spouses. We also found that having more younger brothers increased the propensity for firstborns to disperse more than for laterborns, indicating that younger brothers might pressure firstborn individuals into leaving. However, sisters did not have the same effect as brothers. Overall, the results show that individual characteristics are important in understanding dispersal behaviour, but environmental properties such as social structure and the period of flux after World War II might upend the standard predictions concerning residence and dispersal.

Indexed as

evacuationindividual characteristicsMigrationsocial group

Identifiers

PMID37587948
PMCPMC10426002

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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.