The Pittsburgh Sleep Quality Index (PSQI) is the most widely used questionnaire in research and clinical practice to assess sleep quality. However, a brief version of this measure would improve its efficiency and applicability. This study aimed to develop a brief form of the PSQI and to study measurement invariance across gender and age in a nonclinical population. In total, 609 participants with a mean age of 37.3 years (standard deviation [SD] = 11.9) were recruited, of whom 71.8% (n = 437) were women. Participants completed online versions of the PSQI and the Insomnia Severity Index (ISI). Reliability analyses were performed to reduce the number of items, followed by validity and measurement invariance analyses for the new Brief Version of the PSQI (B-PSQI). Six questions were included in the B-PSQI out of the initial 18; the brief form had adequate internal consistency (α = .79 and ω = 0.91). Confirmatory factor analysis showed optimal fit of the B-PSQI (χ2(4) = 22.428; p < .01; comparative fit index (CFI) = 0.99; normed fit index (NFI) = 0.99; Tucker-Lewis index (TLI) = 0.98; root mean squared error of approximation (RMSEA) = 0.06; standardized root mean square residual (SRMR) = 0.04), achieving partial scalar invariance across gender-same factorial structure, loadings, and thresholds in the majority of the items. Invariance across age was only achieved for model structure. Additionally, the B-PSQI yielded favorable sensitivity (75.82%) and specificity (76.99%) for classifying poor sleepers, similar to values for the full PSQI. In conclusion, the B-PSQI is a brief, reliable, and valid measure that can be used as a screening tool, allowing valid score comparisons between men and women of similar age. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Good sleep during adolescence is crucial for maintaining physical and psychological health; however, sleep disturbance during this period may contribute to health risks, such as substance use. This study aimed to identify the latent sleep patterns across male and female adolescents, and their association with drug use. A cross-sectional study was conducted involving 1391 high school students (aged 15-17; 56.4% female). Participants completed the brief Pittsburgh Sleep Quality Index alongside other sleep measures, and the Timeline Follow-Back and Drug Use History Questionnaire to measure substance use. A multiple-group latent class analysis was used to identify sleep patterns across sexes, and pairwise Logistic Regression models to compare their association with substance use. Four sleep patterns were identified with varying degrees of sleep difficulties: "Good Sleep" (43.3%), "Night Awakenings" (31.8%), "Poor Efficiency and Sleep Onset" (9.4%), and "Poor Sleep" (15.5%). Female adolescents were more likely to belong to Poor Sleep and Poor Efficiency and Sleep Onset patterns, and male adolescents to Good Sleep. Likewise, binge drinking and using alcohol for a longer period were associated with experiencing Poor Efficiency and Sleep Onset (OR=1.03 and 2.3, respectively); smoking tobacco within the past month was linked to Night Awakenings (OR=2.2); and using cannabis or illegal drugs to the Poor Sleep pattern (OR=2.4 and 2.6, respectively). Varied sleep difficulties exist among adolescents that significantly correlate with different aspects of drug use. Targeted interventions that address both sleep and drug prevention are recommended.

Good sleep quality is essential for adolescent health, yet sleep difficulties persist in this age group. The 6-item Brief Pittsburgh Sleep Quality Index (B-PSQI) was recently developed to improve sleep quality assessment, however, its validity in adolescents remains unexplored. This study examined the B-PSQI’s psychometric properties in Spanish adolescents and adapted the scoring method to age-specific sleep recommendations. A cross-sectional study involving 1,065 adolescents (15–17 years; 56.8% female) was conducted in public high schools. Sleep quality was measured using the B-PSQI, the Insomnia Severity Index (ISI), the short Patient-Reported Outcomes Measurement Information System (PROMIS), and the Epworth Sleepiness Scale (ESS). Additionally, depression and anxiety were assessed using the Depression, Anxiety, and Stress Scales. Reliability, validity, and measurement invariance were analyzed. The B-PSQI global scores were 4.5 (SD = 1.9) for the original scoring method and 5.4 (SD = 2.8) for the age-adjusted. The age-adjusted B-PSQI showed satisfactory reliability (ω = 0.84) and concurrent, convergent, and discriminant validity (ISI r_S = 0.67; PROMIS r_S = 0.71; anxiety r_S = 0.40; depression r_S = 0.42; ESS r_S = 0.29). Adequacy for one-factor structure (χ²(4) = 53.9; CFI = 0.97; TLI = 0.92; RMSEA = 0.108; SRMR = 0.05) and invariance across sexes were supported. Both B-PSQI scoring methods showed similar psychometric properties, but the original yielded a higher percentage of poor sleepers (43.1%; cutoff ≥5) than the age-adjusted version (41.9%; cutoff ≥6). Findings suggest that the B-PSQI is a valid and reliable measure to assess adolescent sleep quality. Its scoring can be adjusted to provide age-specific criteria for good sleep. The B-PSQI has potential utility for screening sleep problems and facilitating overall health promotion in adolescents.

Prevalence of sleep problems has grown globally in recent years and sleep hygiene recommendations have shown inconsistent results. This study aims to analyze the quality of sleep in a non-clinical population and its association with maladaptive sleep hygiene. A total of 465 participants, with median age of 35 years (Interquartile range - IQR = 28-44), completed the Sleep Hygiene Practices Scale (SHPS) and the Pittsburgh Sleep Quality Index (PSQI). Sample was divided into good quality sleepers (GQS; 52.7%, n = 245) and poor quality sleepers (PQS; 47.3%, n = 220). Comparison tests showed PQS had significant higher scores on SHPS (M = 61; IQR = 55-68, p < .01) compared with GQS (M = 68; IQR = 62-74). A logistic regression model indicated that only cognitive-arousal behaviors and inconsistent bedtimes were significant to classify poor sleep (R2 = .35; p < .01). In conclusion, poor sleep quality is common among healthy individuals and strongly associated with pre-sleep cognitive activity. This suggests that interventions aiming to improve sleep quality should consider strategies that would retract attention from concerns and worries at bedtime.

The use of social media during bedtime has increased in the past years among adolescents, contributing to disturbed sleep quality, which could potentially be related to emotional problems. This study aimed to analyze the mediation effects of sleep parameters on the relationship between NightTime Texting (NTT) on social media and adolescent sadness. We used a cross-sectional study and evaluated a total of 1464 Swedish students aged 15-17 (55.7% girls) to examine their frequency of NTT on social media, sleep parameters, and adolescent sadness. Bivariate and mediation analyses were performed. Approximately 60% (n = 882) of adolescents engaged in nighttime instant messaging, with 37% (n = 330) reporting texting every night. Higher frequency of NTT was significantly associated with later bedtimes (η2 > 0.12), extended weekend wake-up times (η2 = 0.07), increased social jetlag (η2 = 0.07), and reduced sleep duration on schooldays (η2 = 0.10). Multicategorical parallel mediation analyses revealed that sleep duration on schooldays had an indirect effect on the relationship between both Occasional NTT (a11b1 = 0.05, p < .05) and Daily NTT (a21b1 = 0.12, p < .05) with sadness. Mediation effects were not moderated by gender (p > .05), however, the association between Occasional NTT and higher sadness was significantly linked to boys (t = 2.72; p = .007). Findings showed a large percentage of adolescents engaging in nighttime social media use with worse quality of sleep, and underlined sleep duration on schooldays as a mediator associated with emotional problems in adolescents. These insights can aid in developing strategies for healthier habits to address the misuse of social media and prevent related health problems.