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Prevalence and correlates of poor sleep quality among college students: a cross-sectional survey.

ABSTRACT: BACKGROUND:Sleep problems are widespread among college students around the globe, especially in China. This study was designed to investigate the prevalence of poor sleep quality and identify associated factors among college students in Jilin Province, China. METHODS:A total of 6284 participants were completely collected by stratified cluster sampling in 2016. Information on basic demographics, lifestyles, social and family support, and subjective sleep quality was collected by questionnaire. The Pittsburgh Sleep Quality Index (PSQI) is a self-administered questionnaire used to assess sleep for one month. RESULTS:1951 (31.0%) participants were classified into poor sleep quality group, as defined by a PSQI score?>?5. Males scored significantly higher than females on sleep duration and use of sleep medication, while females scored significantly higher than males on PSQI total and sleep disturbances. The results of the multivariate logistic regression show the following factors to be significant predictors of poor sleep quality: freshman (OR?=?1.523, 95% CI: 1.168-1.987), alcohol use (OR?=?1.634, 1.425-1.874), gambling behaviors (OR?=?1.167, 95% CI: 1.005-1.356), exercised for more than 30?min a week on less than one day (OR?=?1.234, 95% CI: 1.016-1.498), the feelings of satisfied with parental love (OR?=?1.849, 95% CI: 1.244-2.749), and harmonious/neutral relationship with classmates (OR?=?2.206, 95% CI: 1.312-3.708; OR?=?1.700, 95% CI: 1.414-2.045),. No study pressure of this academic year (OR?=?0.210, 95% CI: 0.159-0.276), no truancy in the past month (OR?=?0.510, 95% CI: 0.354-0.735), never had self-injurious behaviors (OR?=?0.413, 95% CI: 0.245-0.698), very harmonious family relationship (OR?=?0.377, 95% CI: 0.219-0.650), frequent communication with parents (OR?=?0.524, 95% CI: 0.312-0.880), the feelings of satisfied with maternal love (OR?=?0.432, 95% CI: 0.257-0.725), and frequent excursions to gymnasium (OR?=?0.770, 95% CI: 0.659-0.899) were the protective factors. CONCLUSIONS:The implication of the present study may be that college students must be made aware of the consequences of inadequate sleep quality and risk factors could be improved if students tried to change their behavior and subjective consciousness.

SUBMITTER: Li Y

PROVIDER: S-EPMC7329462 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Prevalence and correlates of poor sleep quality among college students: a cross-sectional survey.

Li Yuanyuan Y Bai Wei W Zhu Bo B Duan Ruixin R Yu Xiao X Xu Wen W Wang Mohan M Hua Wanqing W Yu Weiying W Li Wenjun W Kou Changgui C

Health and quality of life outcomes 20200701 1

<h4>Background</h4>Sleep problems are widespread among college students around the globe, especially in China. This study was designed to investigate the prevalence of poor sleep quality and identify associated factors among college students in Jilin Province, China.<h4>Methods</h4>A total of 6284 participants were completely collected by stratified cluster sampling in 2016. Information on basic demographics, lifestyles, social and family support, and subjective sleep quality was collected by qu ...[more]

PMID: 32611434

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Project description:BackgroundSleep disturbance is particularly common among medical students worldwide and affects their wellbeing and academic performance. However, little is known about this issue in Yemen. This study looks at sleep quality and its association with personal and life-style factors and self-reported academic performance among medical students at the largest Yemeni university.MethodsA cross-sectional survey was conducted at Sana'a University, Yemen, in 2017. The Pittsburgh Sleep Quality Index (PSQI), consisting of 19 items and 7 components (score range = 0-3), was used to assess sleep quality. The summation of the components' scores yields the global PSQI score (range = 0-21). A global PSQI value higher than 5 indicates poor quality of sleep. Logistic regression was applied to look at relationships.Results240 male (41%) and female (59%) medical students took part in the study with 54% being preclinical and 46% clinical with an average age of 23.3 years (SD = 1.7). The mean global score (SD) was 6.85 (2.8), and 68% of the students (N = 163) were identified as poor sleepers. The mean global PSQI score (SD) and proportion of poor sleepers were higher among males (7.7 (2.8) and 81%, respectively) than females (6.27 (2.42) and 59.2%, respectively), p ≤ 0.001. Good sleep quality was more likely (OR (95% CI)) among females (3.4 (1.3-8.8)), the unmarried (2.8 (1-7.8)), those in good health (2.3 (1.1-4.5)), and nonkhat chewers (4.9 (1.4-17.1)). Nonsmokers were less likely to have good quality sleep compared to occasional smokers (0.185 (0.071-.485)). Stress (30%) and academic workload (21%) were the most commonly reported causes of poor sleep quality. Almost two-thirds of the students (65%) mentioned that disturbed sleep undermined their academic performance.ConclusionsPoor sleep quality is common among Sana'a medical students and impacts their academic performance. Specific stress management and sleep hygiene promoting programs should be incorporated early on in medical education.

Project description:ObjectivesFirst-year college students had exposure to unhealthy lifestyle behaviors that correlate with a high prevalence of anxiety and depression. Regarding to the modifiable lifestyle behaviors factors, this study investigated the prevalence and correlation of multiple lifestyle behaviors, anxiety and depression in a sample of Chinese first-year college students.MethodsCross-sectional data were extracted from Residents eHealth app of health lifestyle behaviors survey from September to October 2019. Anxiety, depression, eating regular meals, consumption of snacks in-between meals, consumption of fruit, dessert and sugar-sweetened beverages, smoking and secondhand smoke exposure, consuming alcohol, physical activity, sedentary time were assessed by self-report. Socio-demographic including age, gender, education, family income, religion, and health condition were captured. Logistic regression was used to explore the association of multiple lifestyle behaviors, anxiety and depression.ResultsTotally 1,017 participants were included in the study. The prevalence of anxiety and depression (from mild to severe) were 40.3% and 45.3%, respectively. In multivariable analyses, religion (believe in Buddhism, OR = 2.438, 95%CI: 1.097-5.421; believe in Christian, OR = 5.886, 95%CI: 1.604-21.597), gender (Female, OR = 1.405, 95%CI: 1.001-1.971), secondhand smoke exposure (OR = 1.089, 95%CI: 1.001-1.184), and eating regular meals (OR = 0.513, 95%CI: 0.346-0.759) were associated with anxiety. Family income (OR = 0.732, 95%CI: 0.596-0.898), eating regular meals (OR = 0.641, 95%CI: 0.415-0.990), frequency of breakfast (OR = 0.813, 95%CI: 0.690-0.959), with a chronic disease (OR = 1.902, 95%CI: 1.335-2.712), and consumption of nocturnal snack (OR = 1.337, 95%CI: 1.108-1.612) were associated with depression.ConclusionsThese results highlighted the need for early lifestyle behavior intervention, especially modifying diet patterns considering the background of religion, health condition, and social-economic status in first-year college students to improve their mental health.

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Prevalence and correlates of poor sleep quality among college students: a cross-sectional survey.

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Prevalence and correlates of poor sleep quality among college students: a cross-sectional survey.

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