Sleep disorders among undergraduate students in Southern Brazil

Falavigna, Asdrúbal; Bezerra, Márcio; Teles, Alisson Roberto; Kleber, Fabrício Diniz; Velho, Maíra Cristina; Steiner, Bruna; Beckenkamp, Natália Laste; Lazzaretti, Lucas; Barazzetti, Daniel Ongaratto; Abruzzi, Fabíola; Baseggio, Natália; Braga, Gustavo; Ferrari, Priscila; Souza, Marcelo Vinícius de

doi:10.1007/s11325-010-0396-6

Cited by 19 publications

(13 citation statements)

References 29 publications

(44 reference statements)

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“…For instance in their study of Brazilian undergraduate students, Falvigna et al 32 noted that female students had a higher prevalence of sleep problems (65.7%) compared to males (54.1%). Our study results corroborate these findings as we observed a higher prevalence of poor sleep quality (56.8%) among female students, as compared with male students (52.0%).…”

Section: Discussionmentioning

confidence: 99%

Sleep Disturbances and Common Mental Disorders in College Students

Byrd¹,

Gelaye²,

Tadessea³

et al. 2014

Health Behavior and Policy Review

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Objective To estimate the prevalence of common mental disorders (CMDs) and examine the association of sleep disorders with presence of CMDs. Methods A self-administered questionnaire was used to ascertain demographic information and behavioral characteristics among 2,645 undergraduate students in Ethiopia. Standard questionnaires were used to assess CMDs, evening chronotype, sleep quality and daytime sleepiness. Results A total of 716 students (26.6%) were characterized as having CMDs. Female students had higher prevalence of CMDs (30.6%) compared to male students (25.4%). After adjusting for potential confounders, daytime sleepiness (OR=2.02; 95% CI 1.64-2.49) and poor sleep quality (OR=2.36; 95% CI 1.91-2.93) were associated with increased odds of CMDs. Conclusion There is a high prevalence of CMDs comorbid with sleep disorders among college students.

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Section: Discussionmentioning

confidence: 99%

Sleep Disturbances and Common Mental Disorders in College Students

Byrd¹,

Gelaye²,

Tadessea³

et al. 2014

Health Behavior and Policy Review

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“…The present study aims to augment the understanding of sleep among Thai college students by evaluating reports of sleep hygiene and sleep quality in relation to stimulant use and other behavioral risk factors. Given prior studies [21, 22] we hypothesized that those students who use stimulants were more likely than non-users to report poor sleep quality and that this relationship may vary by sex and age.…”

Section: Introductionmentioning

confidence: 99%

Sleep quality and sleep patterns in relation to consumption of energy drinks, caffeinated beverages, and other stimulants among Thai college students

et al. 2012

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Purpose Poor sleep and heavy use of caffeinated beverages have been implicated as risk factors for a number of adverse health outcomes. Caffeine consumption and use of other stimulants are common among college students globally. However, to our knowledge, no studies have examined the influence of caffeinated beverages on sleep quality of college students in Southeast Asian populations. We conducted this study to evaluate the patterns of sleep quality; and to examine the extent to which poor sleep quality is associated with consumption of energy drinks, caffeinated beverages and other stimulants among 2,854 Thai college students. Methods A questionnaire was administered to ascertain demographic and behavioral characteristics. The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep habits and quality. Chi-square tests and multivariate logistic regression models were used to identify statistically significant associations. Results Overall, the prevalence of poor sleep quality was found to be 48.1%. A significant percent of students used stimulant beverages (58.0%). Stimulant use (OR 1.50; 95%CI 1.28-1.77) was found to be statistically significant and positively associated with poor sleep quality. Alcohol consumption (OR 3.10; 95% CI 1.72-5.59) and cigarette smoking (OR 1.43; 95% CI 1.02-1.98) also had statistically significant association with increased daytime dysfunction. In conclusion, stimulant use is common among Thai college students and is associated with several indices of poor sleep quality. Conclusion Our findings underscore the need to educate students on the importance of sleep and the influences of dietary and lifestyle choices on their sleep quality and overall health.

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“…Sleep alterations have a high prevalence in these developing countries [12], thus, these populations are in need for alternative screening and diagnostic tools for sleep alterations [13]. None questionnaire or subjective scale is free from biases, thus we should always look for improved tools.…”

Section: Discussionmentioning

confidence: 99%

Proposing the Clinical Inventory of Sleep Quality

Fernández-Cruz¹,

Jiménez‐Correa²,

Marín-Agudelo³

et al. 2016

Sleep Science

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IntroductionThe aim of the study was to propose the Clinical Inventory of Sleep Quality (CISQ), and compared it with the Pittsburgh sleep quality index (PSQI).MethodsWe studied 400 subjects with the CISQ. Cronbach’s alpha coefficient was calculated to measure the reliability, and to determine the concurrent validity, a Canonical correlation analysis was performed. At next, we used an exploratory and confirmatory Factorial analysis with Varimax rotation for validity construct calculation.ResultsCronbach alpha coefficient of the scale was significantly strong (α=0.81). Canonic correlation was=0.93, suggesting that data proved that the CISQ and PSQI are measuring identical subject. Confirmatory Factorial analysis model grouped items of the scale in four factors: 1. Daytime symptoms, 2. Nocturnal symptoms, 3. Sleep disordered breathing symptoms, and 4. Sleep-related movement disorders symptoms. We proposed five categories to score CISQ in a range of 0–52 points, as follows: Good quality of sleep, Mild bad sleep quality, Moderate bad sleep quality, Severe bad sleep quality, and Profound bad sleep quality.ConclusionCISQ is a promising tool to measure sleep quality and deserve more research to confirm its utility.

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Sleep disorders among undergraduate students in Southern Brazil

Abstract: Sleep alterations are prevalent complaints among young people, being present in nearly 60% of the students. Female gender and being depressed are independent factors for having some form of sleep disorder.

Cited by 19 publications

References 29 publications

Sleep Disturbances and Common Mental Disorders in College Students

Sleep Disturbances and Common Mental Disorders in College Students

Sleep quality and sleep patterns in relation to consumption of energy drinks, caffeinated beverages, and other stimulants among Thai college students

Proposing the Clinical Inventory of Sleep Quality

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