Mariana da Silva Muñoz, Pedro Paulo de Almeida Dantas, Natália Marcumini Pola, Maísa Casarin, Rafaela Zazyki de Almeida, Francisco Wilker Mustafa Gomes Muniz
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Adjusted analyses were performed using Poisson regression with robust variance to detect the association between sleep quality and independent variables. Independent adjusted models were performed to the whole-sample, only undergraduate and only graduate dental students.</p><p><strong>Results: </strong>Poor quality of sleep was detected in 266 (65.2%) dental students, of which 228 (68.9%) and 38 (49.4%) were undergraduate and graduate dental students, respectively. Female students presented a prevalence ratio (PR) 19% higher compared to males (95% confidence interval [CI] 1.01-1.41). When only graduate students were considering, those that reported not being the head of the family presented a PR 4.39 higher for poor quality of sleep (95% CI 1.91-10.09). 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引用次数: 0
摘要
目的:本研究旨在评估牙科学生的睡眠质量及相关因素:方法:邀请巴西佩洛塔斯联邦大学所有在校牙科学生参加。采用结构化在线问卷收集自变量,包括学习成绩。睡眠质量通过匹兹堡睡眠质量指数的有效版本进行评估。样本被二分为睡眠质量良好(总分:≤ 4)和至少睡眠质量较差(总分:≥ 5)。使用具有稳健方差的泊松回归进行调整分析,以检测睡眠质量与自变量之间的关联。对整个样本、仅本科生和仅研究生的牙科学生进行了独立调整模型:266名(65.2%)牙科学生被检测出睡眠质量差,其中本科生和研究生分别为228名(68.9%)和38名(49.4%)。女生的患病率(PR)比男生高 19%(95% 置信区间 [CI]:1.01-1.41)。如果只考虑研究生,那些报告自己不是一家之主的学生睡眠质量差的患病率比男性高出 4.39(95% 置信区间为 1.91-10.09)。在本科生中,睡眠质量差与学习成绩较差有关(PR:0.94;95% CI 0.89-0.99),但在研究生中,睡眠质量差与学习成绩较差的关系并不明显(PR:0.99;95% CI 0.96-1.03):结论:牙科学生,主要是女生,睡眠质量差的发生率很高,这与本科生最差的学习成绩有关:在线版本包含补充材料,可在 10.1007/s41782-022-00223-2上查阅。
Poor Quality of Sleep is Associated with Lower Academic Performance in Undergraduate Dental Students: A Cross-Sectional Study.
Purpose: This study aimed to assess the quality of sleep and associated factors among dental students.
Methods: All dental students regularly enrolled at the Federal University of Pelotas, Brazil, were invited to participate. A structured online questionnaire was applied to collect the independent variables, including academic performance. Quality of sleep was assessed by the validated version of the Pittsburgh Sleep Quality Index. Sample was dichotomized as good sleep quality (total score: ≤ 4) and at least poor quality (total score: ≥ 5). Adjusted analyses were performed using Poisson regression with robust variance to detect the association between sleep quality and independent variables. Independent adjusted models were performed to the whole-sample, only undergraduate and only graduate dental students.
Results: Poor quality of sleep was detected in 266 (65.2%) dental students, of which 228 (68.9%) and 38 (49.4%) were undergraduate and graduate dental students, respectively. Female students presented a prevalence ratio (PR) 19% higher compared to males (95% confidence interval [CI] 1.01-1.41). When only graduate students were considering, those that reported not being the head of the family presented a PR 4.39 higher for poor quality of sleep (95% CI 1.91-10.09). Poor quality of sleep was associated with lower academic performance among undergraduate students (PR: 0.94; 95% CI 0.89-0.99), but not significantly associated when graduate students are considered (PR: 0.99; 95% CI 0.96-1.03).
Conclusion: It was concluded that dental students, mainly female ones, have high prevalence of poor quality of sleep, which is associated with undergraduate student's worst academic performance.
Supplementary information: The online version contains supplementary material available at 10.1007/s41782-022-00223-2.
期刊介绍:
Sleep, a pervasive, prominent and universal behavior, which occupies a third of human life. However, why we sleep remains unclear and it is one of the enigmas of modern neuroscience. Sleep loss and sleep deprivation has deleterious consequences. Many research laboratories across the globe evaluate sleep at the intersection between the cellular and the systems level. Such approaches are needed to understand the purpose of sleep. Within the sleep field, several of the predictions and hypotheses are often explored using simple to complex animal models, high-density EEG, and other synthetic approaches such as a large-scale computational simulation of multiple brain regions. Understanding how brain activity across behavioral states provide a conscious experience, which has pivotal implications for several clinical fields such as translational neuroscience, neuropsychiatry and neuropsychology. This is a rapidly growing area with a wide research base, yet currently has no dedicated journal. To fill the void, this is where the proposed journal ''Vigilance'' comes into picture. Vigilance will provide such unique platform to collect and disseminate state-of-the art scientific understanding on research in the increasingly overlapping fields of basic, translational and clinical sleep medicine. Vigilance will be a a Springer owned journal in collaboration and editorial support from the Indian Society for Sleep Research (ISSR), which aims to publish exemplary peer-reviewed manuscripts directing neurobiological investigation related to normal and altered vigilance states. Vigilance will be a broad-spectrum international scholarly journal, which aims to publish rigorously peer-reviewed, high quality research manuscripts within the biomedical as well as clinical research under one roof so that the translational research in sleep medicine can be nurtured and promoted. Therefore the wide scope of the journal will aid in contributing a great measure for the excellence in the scientific r esearch. Support in the research community for Vigilance has been widespread, and the journal has already secured several leaders in the field as members of its editorial board. This multidisciplinary journal will render a global podium for biomedical and clinical researchers to share their scientific excellence. Vigilance aims to attract research articles, case reports, clinical investigations, review articles and short communications from basic, translational, and clinical aspects of sleep research. Vigilance will cover a wide range of topics in this discipline and creates a platform for the authors to contribute towards the advancement in basic, translational, and clinical medicine. Areas covered include, but not limited to measurement of sleep across phylogeny, ontogeny, sleep functions, sleep organization at molecular, cellular, systems, and behavior levels, mechanisms of behavioral states regulation, molecular/genetic approach to studying sleep, neural substrates of altered states of consciousness, large-scale computer simulations to 3D modeling. At the clinical frontiers, areas such as chronobiology, primary sleep disorders and co-morbid sleep disorders will be covered. Journal will also cover translational and interdisciplinary clinical research related to all areas of sleep medicine in terms of diagnosis, treatment, and management of sleep disorders.