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Record W4294755264 · doi:10.1037/pag0000704

Good night–good day? Bidirectional links of daily sleep quality with negative affect and stress reactivity in old age.

2022· article· en· W4294755264 on OpenAlexaff
Anna J Lücke, Cornelia Wrzus, Denis Gerstorf, Ute Kunzmann, Martin Katzorreck, Karolina Kołodziejczak, Nilám Ram, Christiane A. Hoppmann, Oliver Schilling

Bibliographic record

VenuePsychology and Aging · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsUniversity of British Columbia
FundersDeutsche Forschungsgemeinschaft
KeywordsAffect (linguistics)StressorPsychologyPsycINFOReactivity (psychology)Sleep (system call)Multilevel modelYoung adultSleep qualityDevelopmental psychologyMorningClinical psychologyCognitionPsychiatryMedicineMEDLINEInternal medicine

Abstract

fetched live from OpenAlex

Bidirectional links between sleep quality and emotional experiences are complex and not yet well understood-especially in old age when substantial changes occur in sleep and emotional experiences. Because previous research rarely considered the role of stressors, we examine if older adults' sleep quality is directly associated with subsequent negative affect (NA) or more indirectly via affective reactivity to stressors. Specifically, we investigate whether and how older adults' sleep quality predicts negative affect and affective reactivity to stress on the following day, and vice versa. For seven consecutive days, 325 older adults (61-90 years, 49% women) reported their sleep quality each morning as well as momentary negative affect and stressful events multiple times a day. Results from multilevel structural equation models showed that after nights of lower sleep quality, older adults reported more negative affect, but not higher affective reactivity to stressors. In turn, after days with increased affective reactivity but not more negative affect, participants reported worse sleep quality. We discuss whether older adults are able to regulate the effects of low sleep quality, but have difficulties downregulating stress and its effects on sleep. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.998

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 head0.037
GPT teacher head0.387
Teacher spread0.350 · 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

Citations14
Published2022
Admission routes1
Has abstractyes

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