Evidence map›Paper›PMID 40474945›Full record

ArticleSSM - population health2025

Paternity leave, mental health and wellbeing for new parents: evidence from a national survey in the UK.

Emily Humphreys, Stephen O'Neill, Veronique Filippi, Emilie Courtin

Abstract read
In one paragraph

Article in SSM - population health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. 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

4 authors.

Emily HumphreysLondon School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK.
Stephen O'NeillLondon School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK.
Veronique FilippiLondon School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK.
Emilie CourtinLondon School of Economics, Houghton Street, London, WC2A 2AE, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paternity leave has the potential to help parents by enabling new fathers to spend time with their families. However, existing evidence about its association with parental mental health and wellbeing is mixed. This study used data from Understanding Society, a national UK household survey, to examine uptake of paternity leave and its association with measures of mental health and wellbeing for fathers (n = 1385) and mothers (n = 1384) of infants born 2009-2019. We used logistic regression to explore paternity leave uptake and inverse probability weighted regression adjustment (IPWRA) to estimate the association between paternity leave uptake and the mental wellbeing (Short Form-12 Mental Component Score (SF-12 MCS)) and mental health (General Health Questionnaire-12 (GHQ-12) caseness) of fathers and mothers in the months after the birth of their child. Odds of taking paternity leave were higher for more educated fathers and those born in the UK. After adjusting for potential confounders, we found no strong evidence of association between paternity leave and mental wellbeing or mental health of mothers or fathers in our overall sample. This finding was robust to a range of sensitivity analyses including alternative model specifications, imputation of missing data, and weighting. However, subgroup analysis showed that fathers with above median household incomes had better mental wellbeing if they took paternity leave (1.43-point difference in SF-12 MCS; 95 % CI 0.25,2.62; p = 0.02). Improved policies are needed to ensure parental leave reduces inequalities in mental health and wellbeing.

Identifiers

PMID40474945
PMCPMC12140065

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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.