MétaCan
Menu
Back to cohort
Record W2539980998 · doi:10.4172/2167-7182.1000353

Social Participation and Life Satisfaction Among Widowed Older Adults in China

2016· article· en· W2539980998 on OpenAlexaff
Yawen Li, Ling Xu, Joohong Min, Iris Chi, Bin Xi

Bibliographic record

VenueJournal of Gerontology & Geriatric Research · 2016
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineGerontologyChinaLife satisfactionPsychologyPsychotherapist

Abstract

fetched live from OpenAlex

Aim:Little is known about how widowed older adults in China adjust during widowhood.This paper examines the relationship between their changes in social participation following spousal loss and their reported life satisfaction.Methods: Using two-wave (2000 and 2006) national representative data from China, we regressed measures of widowhood status, changes of social participation, health function, financial strain as well as living arrangement on life satisfaction after adjusting for baseline life satisfaction and other sociodemographic variables.Results: Increased social participation was related to higher levels of life satisfaction.This study did not find evidence that individuals who experienced widowhood would benefit more compared to those remained married from increasing social participation after spousal loss.Conclusions: Social participation is one way older adults can potentially improve life satisfaction.In addition to focusing on family support during widowhood, practitioners could consider developing appropriate social activities to engage older adults with particular consideration of those remained widowed for long.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.588

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.074
GPT teacher head0.444
Teacher spread0.370 · 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

Citations15
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Gerontology & Geriatric ResearchSame topicGrief, Bereavement, and Mental HealthFrench-language works237,207