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Record W2101148670 · doi:10.1177/002214650504600403

Clarifying the Relationship Between Parenthood and Depression

2005· article· en· W2101148670 on OpenAlexaff
Ranae J. Evenson, Robin W. Simon

Bibliographic record

VenueJournal of Health and Social Behavior · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsChild, Adolescent and Family Mental Health
FundersEunice Kennedy Shriver National Institute of Child Health and Human Development
KeywordsPsychologyMental healthDepression (economics)Developmental psychologyAssociation (psychology)Emotional distressMeaning (existential)DistressClinical psychologyPsychiatryAnxietyPsychotherapist

Abstract

fetched live from OpenAlex

Unlike other major adult social roles in the United States, parenthood does not appear to confer a mental health advantage for individuals. However, while research has examined parental status differences in emotional well-being, relatively little is known about variations in emotional distress among parents. In this article, we clarify the relationship between parenthood and current symptoms of depression using data from the National Survey of Families and Households. The analyses provide support for our first hypothesis: Parenthood is not associated with enhanced mental health since there is no type of parent who reports less depression than nonparents. We also find support for our second hypothesis: Certain types of parenthood are associated with more depression than others. Additionally, although we find marital status differences in symptoms among parents, there are no gender differences in the association between parenthood and depression. We discuss the implications of our findings for ongoing theoretical debates about the advantages of social role involvement for mental health as well as the meaning of contemporary parenthood in the United States.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.085
GPT teacher head0.397
Teacher spread0.312 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations534
Published2005
Admission routes1
Has abstractyes

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