Sexual well-being of older men and women
Bibliographic record
Abstract
Most older adults experience sexual desire and engage in sexual activity, however, our knowledge about the sexual well-being (SWB) of older adults is still scarce. The present study aimed to examine the SWB of older adults as well as differences in their SWB based on gender and relationship status. The final sample consisted of 297 adults (149 men and 148 women) who ranged in age from 65 to 75 years; 63% (n=188) were currently in a romantic relationship. Participants were recruited using the crowdsourcing platform Amazon's M-Turk. Participants completed a background questionnaire, as well as measures of sexual behaviours (frequency of genital and non-genital activity and masturbation alone), sexual affect and cognitions (sexual esteem, attitudes, and satisfaction), sexual motivation (sexual interest), and sexual functioning. Our participants reported overall positive SWB; specifically, positive sexual self-esteem and attitudes toward sex as well as high sexual satisfaction and interest. Furthermore, participants who were in a relationship engaged in frequent genital and non-genital sexual activity. About two-thirds of the participants in a current relationship had experienced at least one sexual difficulty in the last three months, but only one-quarter were distressed about it. Although some gender and relationship status differences emerged, in general both the men and women and participants who were and were not in a relationship reported positive SWB. These results are discussed in terms of the ways in which they extend our knowledge on the SWB of older adults and challenge popular myths about sexuality in later life.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".