Individual and Relationship Predictors of Trajectories of Sexual Function across Adolescent and Young Adult Relationships
Bibliographic record
Abstract
Many young adults report poor sexual function, but research typically fails to consider relationship context and how problems might evolve over time. Research is needed to provide insights into how sexual problems are experienced across relationships, as well as the types of sexual function problems associated with various trajectories. We investigated retrospective trajectories of sexual problems across the multiple relationships of 688 young adults (18-24 years) as well as the individual and relationship factors associated with these trajectories. Both persistent suboptimal and optimal trajectories emerged for men and women. However, persistent and variable problematic function trajectories also emerged for women (and not men). Across all individual and relationship factors analyzed, multivariate multinomial regression analysis indicated that higher sexual esteem and more traditional gender beliefs best predicted membership in trajectories capturing better sexual function. Implications are discussed in terms of the need to provide substantive information regarding sexual function to young people as they transition to adulthood.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".