| dc.description | Depression is a condition of high prevalence, and its early detection and identification of associated risk factors are necessary. Sleep disorders have been associated with an increased risk of depression.
The National Health Survey 2016-17 studied subjects of both sexes> = 18 years, to whom the abbreviated PLATINO Questionnaire for sleep breathing disorders and the Composite International Diagnostic Interview - Short Form (CIDI-SF) were applied, together with anthropometric measurements, completion of socio-economic data and sampling for laboratory tests. The presence of ≥5 symptoms in CIDI-SF ("suspected depression") was used as dependent variable. To study its association with different risk factors, a logistic regression model was constructed adjusted for: snoring, observed respiratory pauses, daytime sleepiness, non-restorative sleep, sex, age, nutritional status, area of residence, educational level and high cardiovascular risk ( ≥10% Framingham).
5,995 subjects were studied, 96.2% of the total sample, of which 63.3% were women. In the logistic regression model, 2,850 subjects (47.5% of the sample studied) were analyzed, of which 62.6% were women and 363 reported suspicion of depression (12.7%). The result of the model was: female OR = 2.4 (95% CI: 1.79 - 3.2; p <0.001), daytime sleepiness OR = 1.99 (1.52 - 2.61; p <0.001) , respiratory pauses OR = 1.83 (1.36 - 2.45; p <0.001), non-restorative sleep OR = 3.78 (2.89 - 4.93; p <0.001), high cardiovascular risk OR = 1 , 43 (1.07 - 1.93; p = 0.017).
According to these results, daytime sleepiness, respiratory pauses, and non-restorative sleep constitute independent risk factors for "suspected depression". | |
