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Record W4386497958 · doi:10.1037/fam0001137

Associations between parental depression, communication, and self-worth of siblings bereaved by cancer.

2023· article· en· W4386497958 on OpenAlexaff
Dana Garcia, Anna L. Olsavsky, Kylie N. Hill, Valdeoso Patterson, Amy E. Baughcum, Kristin A. Long, Maru Barrera, Mary Jo Gilmer, Diane L. Fairclough, Terrah Foster Akard, Bruce E. Compas, Kathryn Vannatta, Cynthia A. Gerhardt

Bibliographic record

VenueJournal of Family Psychology · 2023
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsSickKids FoundationHospital for Sick Children
FundersNational Institutes of HealthNationwide Children's HospitalNational Cancer InstituteSociety of Pediatric PsychologyCincinnati Children's Hospital Medical Center
KeywordsSiblingPsychologyPsychological interventionPsycINFOMediationClinical psychologySibling relationshipDepression (economics)Moderated mediationDevelopmental psychologyPsychiatryMEDLINE

Abstract

fetched live from OpenAlex

= 58) completed home-based questionnaires upon enrollment (T1), and 48 bereaved and 45 nonbereaved families completed 1-year follow-up (T2). Relative to controls at T1 and T2, bereaved mothers, but not fathers, reported more depressive symptoms. Bereaved siblings reported poorer maternal and similar paternal communication, and similar levels of self-worth compared to controls. Both cross-sectional and longitudinal serial mediation models for mothers were significant. Bereaved mothers were at greater risk for depressive symptoms, which adversely affected sibling self-worth over time through disrupted mother-child communication. The father sample was limited, but the cross-sectional model was nonsignificant. Mothers and fathers may grieve differently and may require different therapeutic approaches. Family-centered interventions should target bereaved mothers' emotional adjustment and communication to enhance sibling self-worth. Additionally, clinicians should bolster other sources of support for bereaved siblings to promote adaptive outcomes. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.190
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.070
GPT teacher head0.426
Teacher spread0.356 · 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.

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

Citations2
Published2023
Admission routes1
Has abstractyes

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