Well Being of Older Gay and Bisexual Men and Women in England: Results of a Cross-Sectional Population Based Study
Bibliographic record
Abstract
Abstract Background Lesbian, gay, and bisexual (LGB) older people are an under-represented population in research, with limited research noting more depression, loneliness, rejection, overall poorer health and well-being outcomes. Our study compared well-being, defined as quality of life (QOL), life satisfaction, sexual satisfaction, and depression, among LGB people with their heterosexual peers’. Methods Cross-sectional data from the English Longitudinal Study of Aging, collected 2012-2013. A total of 5691 participants were included in the analysis, with 326 (5.7%) self-identifying as LGB. We used CASP-19 questionnaire for well-being; the Satisfaction with Life Scale for life satisfaction; and the Center for Epidemiologic Studies Depression Scale for depressive symptoms. The question “During the past three months, how satisfied have you been with your overall sex life?” was used for sexual satisfaction. T-test and chi-square tests were used for differences in sociodemographic characteristics between LGB and heterosexual participants. Regression models were used to test associations between sexual orientation and well-being outcomes. Results LGB participants reported significantly lower mean quality of life and life satisfaction, and had significantly lower odds of reporting satisfaction with their overall sex life and higher odds of reporting depressive symptoms in unadjusted models. After adjustment for sociodemographic and health-related covariates, there remained significant differences between groups in mean QOL scores (B= -0.96, 95% [CI] -1.87 to -0.06) and odds of sexual satisfaction (OR = 0.56, 95% CI 0.38-0.82). Conclusions LGB older people report lower quality of life and lower sexual satisfaction than their heterosexual counterparts, possibly associated with experiencing lifelong social discrimination. Main message: Older lesbian, gay and bisexual people in England report significantly lower QOL and sexual satisfaction in comparison to heterosexual counterparts.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".