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Record W2737933206 · doi:10.1017/s0144686x17000654

Psychological vulnerability of widowhood: financial strain, social engagement and worry about having no care-giver as mediators and moderators

2017· article· en· W2737933206 on OpenAlexaff
Joohong Min, Yawen Li, Ling Xu, Iris Chi

Bibliographic record

VenueAgeing and Society · 2017
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsWorryModerationPsychologyStructural equation modelingSocial supportClinical psychologyDepressive symptomsDepression (economics)Developmental psychologyAnxietyPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

ABSTRACT This study examined how financial strain, worry about having no care-giver and social engagement modify the association between widowhood and depressive symptoms among older adults in China. Using national representative data from older adults in China in 2006, we ran structural equation models and ordinary least square regressions to investigate the mediating and moderating effects of financial strain, worry about having no care-giver and social engagement on the association between widowhood and depressive symptoms. All three variables significantly mediated the association between widowhood and depressive symptoms. Compared to their married counterparts, widowed older adults showed more worry about having no care-giver, increased financial strain and lower social engagement, which were significantly associated with depressive symptoms. Higher level of worry about having no care-giver and lower social engagement significantly exacerbated the adverse effects of widowhood on depressive symptoms in the moderation analyses. Our finding of mediating effects suggests that widowhood is negatively related to psychological wellbeing via financial strain, social engagement and care resources. The results regarding moderating effects suggest that alleviating worry about having no care-giver and increasing social engagement may buffer the deleterious effect of widowhood on psychological wellbeing in later life.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score1.000

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 studies0.0010.001
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 head0.038
GPT teacher head0.364
Teacher spread0.326 · 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 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

Citations8
Published2017
Admission routes1
Has abstractyes

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