The Sleep Condition Indicator (SCI): Psychometric properties of the European Portuguese version.

Insomnia is a highly prevalent sleep disorder. It is the most frequent sleep complaint among Higher Education students. The Sleep Condition Indicator is a self-report tool aimed at assessing insomnia based on the DSM-5 criteria. The principal goal of this study was to establish preliminary psychometric properties of the European Portuguese version of the Sleep Condition Indicator in a sample of Higher Education students. Data from a diverse pool of Higher Education students (N = 537) were collected online over a month. Most participants were women (75%) and aged approximately 27 years. The Sleep Condition Indicator demonstrated good internal consistency (α = 0.85), with all the items accounting significantly for the scale reliability. The most appropriate factor structure considering the ordinal nature of the items was unidimensional, with all items explaining 64% of the total variance. However, a two-factor structure (sleep pattern and sleep-related impact) was also plausible when other statistical estimators were used. The Sleep Condition Indicator correlated significantly with insomnia severity, vulnerability to stress-related sleep disturbance, and self-reported daytime sleepiness. The optimal cut-off point established based on the receiver operating characteristic curve analysis was ≤ 16. A short version comprising only two items was also viable as suggested by the literature. The Sleep Condition Indicator is a reliable and valid tool for screening for insomnia. More studies with other groups are now required, specifically with clinical samples.

Profiles of Subjective Daytime Sleepiness through Cluster Analysis.

Sleepiness propensity and sleepiness perception are two relevant dimensions of the general multidimensional sleepiness construct. In the current study, the aim was to identify eventual homogeneous subgroups when sleepiness propensity and sleepiness perception measures are combined. Data from 678 undergraduate students (aged 17 to 24 years) from a medical school were analyzed. A Two-Step Cluster Analysis was performed taken into consideration sleepiness propensity and sleepiness perception measures as clustering variables. Four different clusters were identified. Additionally, the two groups comprising higher levels of sleepiness perception (i.e., "high perception, low propensity" and "high subjective daytime sleepiness" clusters) had the most compromised results in some of the sleep-related variables examined - sleep needs, sleep latency, sleep quality, sleep sufficiency, self-reported insomnia, sleep reactivity to stress, and cognitive arousal - and in some of non-sleep related variables, such as neuroticism and affect. As to non-sleep variables, those groups reported higher scores in neuroticism, arousability, self-reported mental health and affective states. The identification of distinct groups concerning self-reported sleepiness may bring new avenues for research and understanding of the specific and differential role of sleepiness and its dimensions in sleep health and sleep disturbances, in particular, insomnia disorder.

Assessing Stress-Induced Sleep Reactivity in College Students: The European Portuguese Version of the Ford Insomnia Response to Stress Test (FIRST).

OBJECTIVE AND BACKGROUND: Over the past few years, the comprehensive models of insomnia have exhibited impressive developments. However, there is scarce knowledge on predisposing or vulnerability factors for insomnia. One of the most promising constructs to aid in filling this gap is stress-induced sleep reactivity assessed through self-report. Our aim was to study the psychometric properties of the European Portuguese version of the Ford Insomnia Response to Stress Test (FIRST). PARTICIPANTS: We recruited a large sample of students attending medical school (N = 699). METHODS: Several analyses were carried out such as internal consistency, construct validity, and discriminant groups' analysis. RESULTS: It was observed that FIRST-PT shows good internal consistency (Cronbach´s alpha = .81) and validity indicators. Interestingly, and contrary to what was observed in the previously published studies on psychometric properties of the FIRST, it was observed that a two-factor solution (Factor I = rumination, Factor II = worry) was the most adequate one to explain the correlation matrix, accounting for approximately 44% of the total variance. CONCLUSIONS: The FIRST-PT proved to be a useful and reliable tool to measure stress-induced sleep reactivity. However, these results should be replicated in other groups, particularly clinical samples, in order to verify the stability of its factorial dimension.

Daytime sleepiness in insomnia: Are we focusing on what truly matters?

Insomnia, the most prevalent sleep disorder, is commonly associated with other mental and somatic disorders, making it a significant health concern. It is characterized by nighttime symptoms and daytime dysfunction, with sleepiness being a potential criterion for the latter. Sleepiness is a normal physiological state that is typically experienced near usual bedtime, in normal circumstances. In insomnia, it seems somewhat logical the idea that there is significant daytime sleepiness. However, the topic has been the subject of various discussions in sleep medicine, with studies yielding contradictory and inconsistent results. In this article, we aim to critically examine daytime sleepiness in individuals with insomnia disorder and propose an alternative approach to addressing it, both in clinical practice and research settings. It is crucial to further investigate the role of daytime sleepiness in insomnia, particularly by focusing on sleepiness perception as a more relevant dimension to explore in majority of patients. It is plausible that certain insomnia phenotypes are objectively sleepy during the day, but more studies are necessary, particularly with well-defined clinical samples. The implications of assessing sleepiness perception in insomnia for clinical practice are discussed, and new avenues for research are suggested.

Short forms of the postpartum depression screening scale: as accurate as the original form.

The aims of the present study were to develop three shorter forms of the Portuguese version of the Postpartum Depression Screening Scale (PDSS) as adapted and translated in Portugal, to analyse their psychometrics and to determine their cut-off points and associated conditional probabilities to screen for perinatal depression according to DSM-IV and ICD-10 criteria. In this study, 441 women in the third trimester of pregnancy and 453 in the third month of postpartum were interviewed for diagnostic purposes according to the Portuguese versions of the Diagnostic Interview for Genetic Studies and the Operational Criteria Checklist for Psychotic Illness. DSM-IV and ICD-10 classifications of depression were our gold standards for caseness. Three different shorter forms of the original Portuguese version of the PDSS were developed on the basis of reliability and factorial analysis. PDSS short versions, composed of seven and 21 (postpartum)/24 (pregnancy) items, presented significant reliability and validity and showed satisfactory combinations of sensitivity and specificity (≅80 %). The short forms of the original Portuguese version of the PDSS are valid alternatives to the 35-item version, given their equally precise screening performances, more concise structures and ease of completion.

Psychometric Properties of the Sleep Locus of Control (SLOC) Scale in a Portuguese Sample.

Over the past few decades, research has suggested that cognitive variables play a key role in sleep disorders, particularly, in insomnia. The SLOC (Sleep Locus of Control Scale) evaluates the sleep locus of control, which is associated with the degree to which an individual attributes her/his experiences of sleep to chance or internal causes. The aim of this study was to develop the first translation and adaptation of the SLOC into the European Portuguese, as well as to analyze its psychometric properties. In this study, it was recruited a sample of 2029 Portuguese Higher Education students, aged ≥ 18 years, where approximately 75% of the sample were women and 25% men. The results showed that the SLOC had acceptable internal consistency value (α = .64), considering that it is a measure with a reduced number of items. As in the original study, a principal component analysis with varimax rotation identified two components. A parallel analysis was also conducted, identifying two factors. The correlation between the two subscales "internal sleep locus of control" and "chance sleep locus of control" was positive albeit of low magnitude (r = .15). Through the analysis carried out, it was also observed that individuals with "insomnia", relative to those without, had a more chance sleep locus of control. Overall, these findings show similarities with the original study. The SLOC seems to be a useful psychological assessment measure to be used in clinical and research settings.

The postpartum depression screening scale: is it valid to screen for antenatal depression?

The purpose of the study was to analyse for the first time the validity of a slightly modified version of the Portuguese Postpartum Depression Screening Scale (PDSS), to be used as a screening instrument for antenatal depression. Specifically, the aims were to analyse its psychometric properties, to determine PDSS cutoff points and associated conditional probabilities to screen for depression according to DSM-IV and ICD-10 criteria and to compare its screening performance with that of the Beck Depression Inventory-II (BDI-II). Five hundred and three pregnant women in the third trimester of pregnancy completed both questionnaires and were interviewed face-to-face with the Portuguese version of the Diagnostic Interview for Genetic Studies. The Portuguese version of the Operational Criteria Checklist for Psychotic Illness 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 comparable to those obtained in the postpartum validation studies developed in Portugal and in other countries, showing satisfactory sensitivity and specificity combinations (≅80%). Compared with BDI-II, it has the advantage of being more specific for the motherhood context. Although developed for postpartum depression, PDSS is accurate to screen for antenatal depression, and it could be very useful for clinical and epidemiologic purposes.

Portuguese Version of the Arousal Predisposition Scale: Preliminary Evidence for a Two-Factor Structure in a Nonclinical Sample.

It is known that there is significant variability in arousal levels of the individuals. The Arousal Predisposition Scale (APS) is a questionnaire intended to measure individual differences in arousability. In the current work, our aim was to present the initial psychometric properties of the Portuguese version of the APS. Three hundred forty-five undergraduate medical students from both genders were enrolled. All participants filled out a set of questionnaires-which contained the APS-at the end of their lectures and out of the evaluation period. The APS showed good internal consistency (α = .85) and discriminated individuals with extreme scores. Further, in general, the scale discriminated as well both genders pertaining to the individual items and total score. In terms of scale structure, two related factors were extracted (F1 = emotional reactivity and F2 = trait anxiety). Significant associations among APS and other sleep and psychological self-report variables were also observed. The APS seems to be a reliable and valid instrument to assess self-reported physiological arousability, at least in a sample of young adults. The two-factor composition will require more studies to be replicated in similar groups and, particularly, in clinical samples.

Perfectionism and sleep disturbance.

The main purpose of the present research was to explore gender-related associations between sleep disturbance and perfectionism dimensions in a large sample of undergraduate students. Perfectionism dimensions have been assessed using the Portuguese version of the Multidimensional Perfectionism Scale (Hewitt and Flett, 1991 , J Pers Soc Psychol 60:456; Soares et al., 2003 , Rev Port Psicossom 5:46) and sleep disturbance with two items concerning difficulties initiating sleep and difficulties maintaining sleep. A total of 1163 undergraduate students of both genders between 17 and 25 years of age completed the scale. Results from correlational and categorial analyses indicated that socially prescribed perfectionism was the only dimension associated with sleep disturbance in undergraduate students of both genders. Males with the highest levels of socially prescribed perfectionism were approximately twice more likely to report sleep disturbances than those with less socially prescribed perfectionism. Similar results were found within the female sample. Implications for future research and clinical practice are discussed.