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The present study examined the associations of sleep patterns with multiple measures of academic achievement of undergraduate university students and tested whether sleep variables emerged as significant predictors of subsequent academic performance when other potential predictors, such as class attendance, time devoted to study, and substance use are considered. A sample of 1654 (55% female) full-time undergraduates 17 to 25 yrs of age responded to a self-response questionnaire on sleep, academics, lifestyle, and well-being that was administered at the middle of the semester. In addition to self-reported measures of academic performance, a final grade for each student was collected at the end of the semester. Univariate analyses found that sleep phase, morningness/ eveningness preference, sleep deprivation, sleep quality, and sleep irregularity were significantly associated with at least two academic performance measures. Among 15 potential predictors, stepwise multiple regression analysis identified 5 significant predictors of end-of-semester marks: previous academic achievement, class attendance, sufficient sleep, night outings, and sleep quality (R 2 = 0.14 and adjusted R 2 = 0.14, F(5, 1234) = 40.99, p< .0001). Associations between academic achievement and the remaining sleep variables as well as the academic, well-being, and lifestyle variables lost significance in stepwise regression. Together with class attendance, night outings, and previous academic achievement, self-reported sleep quality and self-reported frequency of sufficient sleep were among the main predictors of academic performance, adding an independent and significant contribution, regardless of academic variables and lifestyles of the students. (Author correspondence: ana.allen@ua.pt)

The aim of the present study was to analyse whether the Portuguese version of the Postpartum Depression Screening Scale (PDSS) was a valid instrument for screening postpartum depression. For this purpose the following objectives were delineated: (1) to analyse PDSS psychometric properties; (2) to determine PDSS cut-off points and associated conditional probabilities for screening depression according to DSM-IV and ICD-10 criteria; and (3) to compare the performance of PDSS with the Beck Depression Inventory-II (BDI-II) in screening for postpartum depression. Four hundred eighty-six 3-months-postpartum women completed both questionnaires and were interviewed with the Portuguese version of Diagnostic Interview for Genetic Studies (DIGS). The Portuguese version of the operational criteria checklist for psychotic illness (OPCRIT) was used to obtain DSM-IV and ICD-10 diagnoses of depression, our gold standards for caseness. PDSS reliability and validity were very good and equivalent to those reported in other versions, including the original. PDSS was an accurate screening instrument for postpartum depression, showing satisfactory combination of sensitivity and specificity (80%). Compared to BDI-II it has the advantage of being more specific for the motherhood context. PDSS could be very useful for clinical and epidemiological purposes.