Objectives: The aims of this study were to evaluate patterns of circadian preferences and daytime sleepiness, and to examine the extent to which the consumption of stimulant beverages is associated with daytime sleepiness and evening chronotype among Peruvian college-age students. Methods: A total of 2,581 undergraduate students completed a self-administered comprehensive questionnaire that gathered information about sleep habits, sociodemographic and lifestyle characteristics, and the use of caffeinated beverages. The Morningness-Eveningness Questionnaire (MEQ) and Epworth Sleepiness Scale (ESS) were used to assess chronotype and daytime sleepiness. We used multivariable linear and logistic regression procedures to estimate odds ratios (OR) and 95% confidence intervals (95% CI) for the associations of sleep disorders with sociodemographic and behavioral factors. Results: The prevalence of daytime sleepiness was 35% [95% CI 32.7-36.4] and eveningness chronotype was 10% [95% CI 8.8-11.1%]. Age, sex, cigarette smoking, and alcohol consumption were significantly associated with an evening chronotype. After adjusting for age, sex, smoking, body mass index, and physical activity, students who reported consumption of any stimulant beverages had 1.25 increased odds of excessive daytime sleepiness (OR = 1.25 [95% CI 1.03-1.53]) compared with students who did not consume stimulant beverages. Consumption of any stimulant beverages was not statistically significantly associated with being an evening chronotype (OR = 1.30 [95% CI 0.86-1.96]). Conclusions: Excessive daytime sleepiness and eveningness chronotype are common among Peruvian college students. MEQ scores were associated with age, sex, smoking, and alcohol consumption. Regular stimulant beverage consumption tended to be positively associated with excessive daytime sleepiness.
Background We sought to evaluate the prevalence and correlates of major depressive disorder (MDD) and suicidal behavior among urban dwelling Ethiopian adults. Methods This was a cross-sectional study of 1,097 outpatient adults (≥ 18 years of age) in a major hospital in Addis Ababa, Ethiopia. Sociodemographic and lifestyle characteristics were collected via structured interviews. MDD and suicidal behavior were assessed using the Composite International Diagnostic Interview (CIDI) among all study participants. Multivariable logistic regression models were fitted to estimate odds ratios (OR) and 95% confidence intervals (95% CI). Results Prevalence estimates for lifetime and 12-month MDD were 18.0% and 6.7%, respectively. The prevalence of suicidal behavior during the previous year (i.e., suicidal ideation, plan or attempt) was 15.2% with approximately 4% having reported attempts. Overall, women were more likely to report suicidal behavior (17.8%) than men (11.3%). MDD odds were 1.53-fold higher among women as compared with men (aOR=1.53, 95% CI 1.05-2.23). Lifetime MDD was significantly associated with age, sex, marital status, and self-reported physical health. Participants reporting poor mental health had approximately 3-fold increased odds of MDD (OR=2.93; 95%CI: 1.05-2.23); those between 35-44 years old (aOR=1.92; 95%CI: 1.06-3.49) and those older than 55 years (aOR=2.54; 95%CI: 1.16-5.57) had higher odds of MDD. Similarly suicidal behavior was significantly associated with sex, marital status, and self-reported physical and mental health. Limitations This cross-sectional study utilized self-reported data from outpatients. Causality cannot be inferred, and results may not be fully generalizable. Conclusions Overall results show that MDD and suicidal behavior are highly prevalent among urban-dwelling Ethiopian adults. Women and middle-age adults constitute a high-risk group and may therefore benefit from targeted interventions.
We investigated relationships between early developmental milestones, schizophrenia incidence and variability in its age at onset. We hypothesized that the period of risk for schizophrenia would be longer for those with later development. The Northern Finland Birth Cohort 1966 was followed until 47 years of age, and those members diagnosed with schizophrenia or any other non-affective psychoses identified. Latent profile analysis was used to classify people into homogenous classes with respect to developmental milestones, and subsequently survival analysis explored relationship between classes and age of schizophrenia onset. Results suggest that 4-classes (early, regular, late, and extra late developers) can be identified, but due to few cases in one class (n = 93, <0.01% of 10,501), only 3 classes (early, regular, late) could be meaningfully compared. Schizophrenia incidence until 47 years of age differed systematically between classes: late developers had the highest cumulative incidence (2.39%); regular were intermediate (1.25%); and early developers had the lowest incidence (0.99%). However, age at onset and its variability was similar across classes, suggesting that our hypothesis of a wider ‘window’ for schizophrenia onset in late developers was not supported.
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