The Interrelationships Between Sexual Problems and Sexual Satisfaction: A Two-Year Longitudinal Study with Dyads
Bibliographic record
Abstract
Sexual problems in relationships are negatively correlated with sexual satisfaction, but the direction of this relationship remains unclear. Although most theorizing posits that changes in sexual problems precede changes in sexual satisfaction, most studies are cross-sectional, so they cannot assess directionality or capture any bidirectional effects. This study addressed this limitation by investigating the association between sexual problems and sexual satisfaction prospectively. Additionally, we sought to test for partner effects and determine whether broader relationship problems, rather than sexual problems specifically, explain the relation to sexual satisfaction. We measured sexual satisfaction, sexual problems, and nonsexual problems two years apart. Our sample included 109 mixed sex/gender couples (218 individuals; Mage = 37.00); 83 couples (166 individuals) completed both time points. Dyadic cross-lagged analyses showed that participants with higher levels of sexual problems at baseline reported lower sexual satisfaction two years later. Lower baseline sexual satisfaction did not predict increases in sexual problems two years later. No significant prospective partner effects emerged. When nonsexual problems were added to the model, sexual problems continued to predict sexual satisfaction. These findings suggest that sexual problems in relationships precede declines in sexual satisfaction and may offer a target for intervention.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".