Sex specificities of medical and social parameters in patients with coronary artery disease with different severity of depression
Bibliographic record
Abstract
Aim. To determine the sex specificities of medical and social parameters in patients hospitalized due to coronary artery disease (CAD), class II, III, IV angina, aged 35-60 years and assess the significance of their relationship with different levels of depression. Material and methods . The study involved 312 patients aged 35-60 with documented CAD, class II, III, IV angina. Two comparison groups were identified: group I — 138 patients (men, 81; women, 57) with CAD and without depression (mean age, 47,8±4,6 years); group II — 174 patients (men, 60; women, 105) with CAD and depression (mean age, 48,3±5,3 years). Medical and social data, the severity of depression and distress tolerance, psychological status and quality of life was assessed. Statistical analysis was carried out, which are presented as the mean and standard error of the mean (M±m). The odds ratio (OR) and 95% confidence interval (CI) were calculated. Differences were considered significant at p<0,05. Results . The prevalence of depression among patients with CAD was 55,77%, while women were 1,5 times more likely to suffer it than men. Depression was significantly associated with hyperglycemia, hypercholesterolemia, and class III-IV angina, regardless of sex. Class III and IV angina prevailed in women, while class II angina — in men (OR, 2,16; 95% CI, 1,37-3,41, p<0,001)). Women were more prone to degree II-III disability (group II, 26,67%; group I 8,77%; p=0,008), compared with men (group II, 27,54%; group I, 11,11%; p=0,012). Sedentary lifestyle was also associated to a greater extent with the female sex than with the male (OR, 2,89, 95% CI, 1,46-5,70, p=0,003; OR, 2,31, 95% CI, 1,19-4,48; p=0,014, respectively). Both men and women showed a significant association of depression with atherosclerosis (p<0,001), however, sex differences did not reach significance. Indicators such as lack of job and higher education, as well as smoking and arrhythmias were characteristic of both sexes, but had a greater impact on the mental condition of men (p=0,002, p<0,001, p=0,0014 and p=0,01, respectively). For men, the relationship of depression with diabetes (8,7 vs 0%; p=0,008), obesity (42,03 vs 19,75%; p=0,004), subordinate status (82,61 vs 64,2%; p=0,016) and unmarried status (60,87 vs 40,74%; p=0,02). Conclusion . There are significant differences in factors contributing to depression in different sex groups. The association of depression with CAD has an adverse effect on the physical and psychological health of both males and females. At the same time, women are more prone to mental disorders than men. It is necessary to further study the sex characteristics of medical and social parameters in order to personalize treatment methods.
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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 | 0.000 | 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) | 0.001 | 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".