Influence of alexithymia on the management of Latin American patients with asthma: A cross-sectional study
Bibliographic record
Abstract
Objectives:In asthmatic patients, studies suggest that alexithymia leads to negative consequences and emotions that can affect physical, psychological, and social aspects of life. We designed this study to determine the frequency of alexithymia in Latin American patients with asthma, as well as to understand how this personality trait and each of its components interact with asthma severity and demographic variables, and their implications on treatment adherence and disease control under such setting.Methods:We conducted a cross-sectional study, involving 265 Latin American patients with asthma. Patient demographics and clinical characteristics were reported. The presence of alexithymia, asthma severity, and control, as well as treatment adherence, was analyzed. To assess the presence of alexithymia, the 20-item Toronto Alexithymia Scale was used. For the statistical analyses, we performed Kendall’s tau-b correlation coefficient, chi-square tests for association, and one-way analysis of variance.Results:A total of 265 patients participated in the study with a gender distribution of 69.4% female and an average age of 54.7 years. In total, 30.2% of individuals presented alexithymia. There was a statistically significant correlation between educational level and 20-item Toronto Alexithymia Scale categories (<i>p</i> p = .001) and uncontrolled (50.0%, <i>p</i> = .185) asthma in patients with alexithymia. A higher proportion of patients with some level of non-adherence was seen on those with uncontrolled asthma (68.5%, <i>p</i> = .008).Conclusion:Our results suggest that in our sample, 3 in 10 Latin American asthma patients have alexithymia, and such mental condition is more common in those individuals with lower educational levels. Individuals with alexithymia present with severe asthma more frequently than do patients with possible or no alexithymia and are also more likely to have their disease uncontrolled.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 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 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".