Challenges and Mental Health Experiences of Lesbian and Bisexual Women Who Are Trying to Conceive
Bibliographic record
Abstract
To date, there is little evidence to inform social work practice with lesbian and bisexual women who are trying to conceive (TTC). The authors report a preliminary examination of the mental health experiences of lesbian and bisexual women who are TTC, through a comparison with lesbian and bisexual women in the postpartum period (PP). Thirty-three lesbian and bisexual women (TTC, n = 15; PP, n = 18) completed standardized questionnaires assessing symptoms of depression and anxiety as well as relationship satisfaction and perceived social support. Qualitative interviews were also conducted to further investigate the experience of TTC. No significant differences were found between groups on any of the dependent variables. Analysis of qualitative data highlighted the challenges for lesbian and bisexual women who are TTC, particularly in terms of difficulty conceiving, lack of support during the conception process, and heterosexism in the fertility system. Women perceived these challenges to conception as having emotional consequences. The findings from this study begin to elucidate the unique context of TTC for lesbian and bisexual women, and they highlight the importance of culturally competent social work practice with this population.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".