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Record W1979507493 · doi:10.1080/0092623x.2013.864364

The Relationship Between Daily Hassles and Sexual Function in Men and Women

2013· article· en· W1979507493 on OpenAlexaff
Lisa Dawn Hamilton, Amanda M. Julian

Bibliographic record

VenueJournal of Sex & Marital Therapy · 2013
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsMount Allison University
Fundersnot available
KeywordsStressorPsychologyAnxietyDepression (economics)Clinical psychologySexual functionSexual functioningSexual dysfunctionPsychiatry

Abstract

fetched live from OpenAlex

Psychological stressors can interfere with sexual function through psychological and physiological mechanisms. Chronic stress, in particular, seems to have a negative effect on sexual functioning for men and women. The present study was designed to identify categories of stressors that contribute to sexual difficulties as well as assess the role of anxiety and depression in the relationship between stress and sexual function. Participants were recruited for an online survey in which they completed questionnaires on daily stressors, anxiety, depression, and sexual function. Results indicated that daily stressors predicted lower scores on sexual satisfaction for men and women and sexual activity for women. These effects were mediated by scores on the depression scale. Daily stressors, depression, and anxiety were highly correlated. A factor analysis of stressors resulted in 5 distinct categories of stressors. Of these, financial stressors and stressors related to low socioeconomic status were related to lower scores on all aspects of sexual functioning for women but not for men. Women's sexual functioning scores were more strongly related to stress and depression than men's scores. Results suggest that contextual factors (e.g., daily stressors, depression) are important considerations when assessing problems with sexual functioning.

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)0.005
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.054
GPT teacher head0.297
Teacher spread0.243 · 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

Citations56
Published2013
Admission routes1
Has abstractyes

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