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Record W6922252544 · doi:10.1192/j.eurpsy.2023.544

Sexual well-being in old age: A systematic review of the literature

2023· article· en· W6922252544 on OpenAlexaff

Bibliographic record

VenuePubMed Central · 2023
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsNonprobability samplingHuman sexualityInclusion (mineral)Systematic samplingQualitative researchReproductive healthSystematic reviewEmpirical research

Abstract

fetched live from OpenAlex

INTRODUCTION: We conducted a systematic review of the qualitative literature on the sexuality and sexual health of older adults. OBJECTIVES: The aim is to address which topics have been researched and the quality of research within this field. METHODS: All stages of this review were carried out peer-to-peer in order to guarantee minimized bias. The Cochrane Database, Psy-EBSCO, MEDLINE, Psy-Redalyc, Scielo, Web of Science and Google Scholar were searched and 32 studies met inclusion criteria. The majority had not been reviewed in earlier review articles. A total of 95,478 references were screened and 27 studies were included in this review. The studies involved 3044 participants across seven countries, most being women (approximately 83%). RESULTS: We identified a wide variety of factors that can determine SWB of older adults, such as perceived health, sexual health, demonstrations of love; non-sexual joint activities; overall well-being and quality of life; partner support; positive self-image; being independent and active; the strength of spiritual beliefs, and patriarchal roles upheld by upbringings conveying that women’s role is to provide men with sexual pleasure. CONCLUSIONS: Methodological issues related to sampling procedures, such as purposive sampling through the older samples and limited generalisability due to the homogeneity of participants. Additionally, there was a widespread lack of non-heterosexual control groups. However, most studies used appropriate measures and acknowledged inherent limitations. There is a lack of research with the older population, those with significant health needs, those outside the Western countries, and those with additional characteristics associated with discrimination. DISCLOSURE OF INTEREST: None Declared

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.724
Threshold uncertainty score0.244

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.257
Teacher spread0.238 · 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 designSystematic review
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
Published2023
Admission routes1
Has abstractyes

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