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Record W4361279188 · doi:10.1186/s13034-023-00596-w

Work-family interface and children's mental health: a systematic review

2023· review· en· W4361279188 on OpenAlexafffundabout
Jaunathan Bilodeau, Maya Mikutra-Cencora, Amélie Quesnel‐Vallée

Bibliographic record

VenueChild and Adolescent Psychiatry and Mental Health · 2023
Typereview
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsMcGill University Health CentreUniversité de MontréalMcGill University
FundersCanadian Institutes of Health Research
KeywordsMental healthPsycINFOScopusCritical appraisalPsychologyPsychological interventionMEDLINEPopulationPublic healthMedicineChild and adolescent psychiatryPsychiatryClinical psychologyNursingEnvironmental healthAlternative medicine

Abstract

fetched live from OpenAlex

The COVID-19 pandemic and the public health measures adopted to contain it have highlighted the centrality of the work-family interface in the etiology of mental health among the employed population. However, while the impact on the mental health of workers has been well documented, the relationship with the mental health of children of those workers remains to be clarified.A systematic review was conducted through the identification of peer-reviewed studies on the association between parental work-family interface (e.g. work-family conflict and/or work-family enrichment) and children's mental health. This method is based on the consultation of 7 databases (MEDLINE, PubMed, Web of Science, PsycINFO, SocIndex, Embase, and Scopus), considering all studies published through June 2022 (PROSPERO: CRD42022336058). Methodology and findings are reported according to the PRISMA guidelines. 25 of the 4146 identified studies met our inclusion criteria. Quality appraisal was performed using a modified Newcastle-Ottawa scale. Most studies investigated only work-family conflict, ignoring work-family enrichment. Child mental health outcomes evaluated included internalizing behaviours (n = 11), externalizing behaviours (n = 10), overall mental health (n = 13), and problematic Internet usage (n = 1). Results of the review are summarized qualitatively. Our analysis shows equivocal evidence for the direct relationships between the work-family interface and children's mental health, as a large proportion of associations did not reach statistical significance. We can, however, posit that work-family conflict seems to be more associated with children's mental health problems while work-family enrichment was more related to children's positive mental health. A greater proportion of significant associations are observed for internalizing behaviors compared to externalizing behaviors. Almost all the studies that test for a mediating effect found that parental characteristics and parental mental health are significant mediators.Our research provides insight into the complex association between work-family interface and child mental health, showing both beneficial and detrimental consequences that may even occur simultaneously. This highlights the far-reaching effects of contexts affecting the work-family interface, including the COVID-19 pandemic. We conclude with the need for research adopting more standardized and nuanced measures of the work-family interface to further validate these conclusions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.206
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.363
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations14
Published2023
Admission routes3
Has abstractyes

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