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Record W4237476248 · doi:10.1093/geront/gnw162.2035

PERCEIVED SPOUSAL SUPPORT BUFFERS ASSOCIATION BETWEEN DAILY AFFECTIVE REACTIVITY AND HEMOGLOBIN A1C

2016· article· en· W4237476248 on OpenAlex
Victoria I. Michalowski, Maureen C. Ashe, Kenneth Madden, Denis Gerstorf, Christiane A. Hoppmann

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Gerontologist · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture Market Analysis Ukraine
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAssociation (psychology)HemoglobinReactivity (psychology)PsychologyClinical psychologyMedicineInternal medicinePsychotherapist

Abstract

fetched live from OpenAlex

Affective reactivity to daily stressors has been linked with poor health outcomes (Piazza, Charles, Sliwinski, Mogle, & Almeida, 2013). Spousal support may represent a protective factor for reactive individuals, particularly in older age when spouses increasingly turn to each other for support. This study uses 21 simultaneous momentary assessments from both partners in 120 older couples (M age = 71 years; M relationship duration = 41 years) and links stressor-negative affect associations with glycosylated hemoglobin (HbA1C), a biomarker of diabetes risk. In line with previous research, initial findings suggest that responding to a social stressor with high negative affect is associated with higher HbA1C. Importantly, this association is moderated by perceived spousal support. Thus, greater perceptions of spousal support may be protective for glycemic control of highly reactive individuals. Taken together, spousal support may represent a resource for attenuating declining glycemic control in older adulthood.

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.

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 score0.382
Threshold uncertainty score0.370

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 head0.014
GPT teacher head0.218
Teacher spread0.204 · 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