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Record W6945696087 · doi:10.25384/sage.c.6478791

Social support and social strain from children and subsequent health and well-being among older U.S. adults

2023· other· en· W6945696087 on OpenAlexaff

Bibliographic record

VenueSage Journals Data · 2023
Typeother
Languageen
FieldComputer Science
TopicResearch Data Management Practices
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSocial supportPsychosocialHealth and Retirement StudyDistressLife course approachPerceptionPsychological distressSample (material)Social engagement

Abstract

fetched live from OpenAlex

Social relationships contribute to well-being across the life course and may be especially vital resources for supporting healthy aging among older adults. This research examined associations between perceptions of social support and social strain from children assessed by older adult parents and 35 indicators of physical, behavioral, and psychosocial health and well-being. We utilized three waves of data from the Health and Retirement Study (HRS; <i>N</i> = 11,609), a diverse, national sample of U.S. adults over age 50. We found that increases in social support were associated with better subsequent outcomes on all psychological indicators (higher positive affect, life satisfaction, optimism, purpose in life, mastery, health mastery, financial mastery; lower depression, depressive symptoms, hopelessness, negative affect, perceived constraints) and most social factors (lower loneliness, greater likelihood of contact with children and other family) over the four-year follow-up period. Results also showed that increases in social strain were subsequently related to worse functioning across all indicators of psychological well-being and select social factors (i.e., higher loneliness) and psychological distress outcomes (i.e., higher hopelessness, negative affect, and perceived constraints). However, we did not find evidence that changes in social support and social strain were associated with physical health or health behavior outcomes.

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), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.838
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0040.008
Open science0.0020.005
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 head0.065
GPT teacher head0.369
Teacher spread0.304 · 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
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

Citations0
Published2023
Admission routes1
Has abstractyes

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