Evidence map›Paper›PMID 35493410›Full record

ArticleSSM - population health2022

Like ripples on a pond: The long-term consequences of parental separation and conflicts in childhood on adult children's self-rated health.

Eva-Lisa Palmtag

Open access · goldAbstract read
In one paragraph

Article in SSM - population health, 2022. 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
1.1field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Eva-Lisa PalmtagSwedish Institute for Social Research, Stockholm University, Stockholm, Sweden.
Stockholm University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of the study was to explore how different forms of conflict in childhood and parental separation additively and interactively predict self-rated health (SRH) in adulthood. Furthermore, a subsample analysis investigated how different family conflicts predict SRH in adulthood within the group of separated families, controlling for post-separation circumstances. Background: Previous research shows that adult children from separated families have worse health compared to peers from intact families. Additionally, inter-parental conflicts are closely associated with parental separation and known to negatively influence children's health. Few studies have taken a broader perspective on conflicts and included conflicts beyond the inter-parental subsystem, such as within other family subsystems, into their analysis. Methods: Data were based on Swedish Level of Living Survey (LNU). Using linear probability modelling the first analysis shows that SRH in adulthood varies depending on family type and the occurrence of conflict in childhood ( Results: The results show that adult children from separated families and families with different types of conflicts have worse SRH compared to their peers in intact families and families with no conflicts. Conclusion: Parental separation has long-term consequences on children's SRH and this relationship is partly predicted by parent-child conflicts. Implications: The results underline the importance of considering children's involvement when studying the separation process and its outcomes. They also suggest that interventions to help parents and children through a separation would benefit from a focus, not only on inter-parental conflicts but also, on parent-child conflicts, as well as parents' role modelling to prevent children from experiencing negative long-term health outcomes.

Identifiers

PMID35493410
PMCPMC9039849
OpenAlexW4223911817

What OpenQuestion holds

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LicenceCC BY
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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.