Age-related cognitive complaints and emotional difficulties associated with symptoms of ADHD: a study of gender differences
Bibliographic record
Abstract
Background Recent research suggests that attention-deficit/hyperactivity disorder (ADHD) is a risk factor for suboptimal cognitive and emotional aging. Due to menopause, women may be more vulnerable to these outcomes than men. This study quantifies age-related changes in the association between self-reported ADHD symptoms and cognitive and emotional complaints, comparing men and women. Methods Participants were 118 community adults aged 19–79 years (78.0% women). Most had a self-reported ADHD diagnosis (71.2%) or clinically significant ADHD symptoms (78.0%). All completed the self-report Connors Adult ADHD Rating Scale, the Cognitive Failures Questionnaire, the Barkley Deficits in Executive Functioning Scales and the Difficulties in Emotion Regulation Scale. Gender-stratified general linear models predicted cognitive and emotional difficulties from ADHD symptoms, testing age as a moderator. Results ADHD symptoms showed moderate to strong correlations with all cognitive (.39 < r < .68) and emotional outcomes (.21 < r < .64). In men, the association between ADHD symptoms and cognitive (B = −0.009, p = .021, ηp2 = .23) and emotional impulsivity (B = −0.017, p = .012, ηp2 = .28) was less pronounced in older than younger participants. Theses patterns were not observed in women. In older women, the association between ADHD symptoms and self-reported cognitive failures was slightly weaker than in younger women (B = −0.017, p = .030, ηp2 = .05). Although this interaction was not statistically significant in men, the effect was of similar medium-sized magnitude (ηp2 = .08). All associations survived adjustments for depression and anxiety symptoms. Conclusion Some cognitive and emotional difficulties associated with ADHD symptoms were worse in younger than in older men, but age moderation was not observed in women. The cross-sectional design precludes any conclusions about causality, and it is possible that these results may be explained by greater self-disclosure in women than in men. Results are also interpreted cautiously in the context of relatively small sample size. Altogether, results support the need for a gender-specific lens when considering the lifespan impacts of ADHD symptoms and point to women as a potentially vulnerable segment of the ADHD population regarding cognitive and emotional aging.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".