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Record W4312103792 · doi:10.1093/geroni/igac059.730

PHYSICAL INTIMACY IN DAILY LIVES OF OLDER ROMANTIC COUPLES: LINKS WITH MOMENTARY AFFECT AND DAILY CORTISOL LEVELS

2022· article· en· W4312103792 on OpenAlexaff
Karolina Kołodziejczak, Johanna Drewelies, Theresa Pauly, Nilám Ram, Christiane A. Hoppmann, Denis Gerstorf

Bibliographic record

VenueInnovation in Aging · 2022
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAffect (linguistics)PsychologyMoodDevelopmental psychologyClinical psychology

Abstract

fetched live from OpenAlex

Abstract Physical intimacy is assumed to benefit well-being through stress-buffering and mood-improving processes. Although partnered older adults often report wishing for and experiencing physical intimacy, inquiries about how intimacy is linked to affect and stress in older couples’ daily lives remain scarce. We examined self-report and salivary cortisol data from 120 German couples (Mage= 71.6, SDage= 5.94) obtained up to seven times per day over seven consecutive days. In moments when participants experienced more physical intimacy, women reported less negative affect, and men more positive affect. Experiencing more overall physical intimacy was associated with more positive affect and less negative affect in women, and lower daily cortisol in men. More overall intimacy wished was related to more negative affect in women and men, and to higher daily cortisol in men. We conclude that physical intimacy relates to indicators of well-being in older couples’ daily lives and consider routes for future inquiry.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.023
GPT teacher head0.322
Teacher spread0.300 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2022
Admission routes1
Has abstractyes

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