Mental and physical comorbidity in an Arab primary health care setting
Bibliographic record
Abstract
BACKGROUND: There are no published studies on the comorbidity of common mental conditions (anxiety, depression, and somatization) and physical illnesses in the Arab world. Our aim was to estimate the prevalence of common mental conditions comorbid with physical illnesses among primary care attenders in Kuwait, and the sociodemographic characteristics associated with this comorbidity. METHODS: The Patient Health Questionnaires for somatization, anxiety and depression (PHQ-SAD) were administered to a representative sample of 1046 attenders (M: F = 429: 617; mean age 37.6, SD 12.7) seen in primary care clinics in Kuwait. Based on well-established cut-off scores, the presence and severity of three mental conditions -depression, anxiety, and somatization-was ascertained; physical diagnoses were ascertained by the attending physicians. RESULTS: Of 1046 respondents, 442 (42.3%) had at least one mental condition and 670 (64.1%) had a physical illness diagnosis, viz.: diabetes mellitus (248/670 = 37.0%), hypertension (229/670 = 34.2%), asthma (82/670 = 12.2%), non-chronic physical illnesses (63/670 = 9.4%), or heart disease (48/670 = 7.2%), with 34.4% (360/1046) having mental-physical comorbidity. Male: female ratio for the 670 subjects was 287: 383. The unadjusted odds ratio (OR) for having a mental condition in those with a physical illness vs. those without a physical illness was 4.16 (95% C.I. = 3.12, 5.55). Comorbidity was associated with older age, being divorced or widowed, a lower level of education, and poorer living conditions. Regardless of the physical illness, the most frequent comorbid mental disorder was somatization. The prevalence and severity of mental conditions were associated with the number of physical illnesses. CONCLUSION: As has been reported in other parts of the world, somatization, anxiety, and depression are highly prevalent among primary care attenders in Kuwait and they are typically comorbid with physical illness. Strategies for their prevention and treatment need to take into consideration their association with physical illness and social disadvantage.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".