Perceived Parental Rejection as a Predictor of Psychological Distress in LGBQ + Adults and the Moderating Effects of Self-Acceptance of Sexuality
Bibliographic record
Abstract
As a marginalized group, individuals who identify as lesbian, gay, bisexual, or queer (LGBQ+) may be particularly at risk for experiencing parental rejection and related negative outcomes. Few studies have focused on parental rejection as experienced in adulthood. Investigators used the Perceived Parental Reactions Scale (PPRS), the Self-Acceptance of Sexuality Inventory (SASI), and the short-form Depression, Anxiety, and Stress Scale (DASS-21) to examine the relationship between present-day perceived parental rejection of sexual identity, self-acceptance of sexuality, and psychological distress in a sample of LGBQ+ adults aged 18–60+ (n = 309). Results found that perceived parental rejection was positively correlated with levels of depression, anxiety, and stress and inversely correlated with self-acceptance of sexuality. Self-acceptance of sexuality also was found to be inversely correlated with psychological distress. Moreover, study results revealed that self-acceptance of sexuality moderated the relationship between present-day perceived parental rejection and psychological distress in LGBQ+ adults. Future directions and clinical implications for these findings are discussed, including expanding diversity in future studies and incorporating considerations for the entire family system, including multigenerational homes.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".