OBJECTIVETo study the status and influencing factors on sleep quality in some medical college students.

METHODSStratified sampling, pittsburgh sleep quality index (PSQI), self-evaluation depression scale (SDS), self-evaluation anxiety scale (SAS) and self-developed questionnaire of influencing factors on the quality of sleep in medical college students were used. Cumulative odds logistic model was performed to analyze the related factors on the quality of sleep.

RESULTS19.17 percent of the medical college students showed poor quality of sleep and the difference between genders was not statistically significant (P > 0.05). Statistically significant (P < 0.05) difference was seen among different years of students and correlation was found between sleep quality and depression or anxiety (P < 0.0001). Factors influencing on the quality of sleep in medical college students would include: worry of sleep, irregular work/rest, worry on examination, stress, relationship with classmates, self-evaluated health condition, environments of the dormitory and late to bed.

CONCLUSIONInfluencing factors were identified and comprehensive measures should be taken to improve the quality of sleep.

Adult ; China ; epidemiology ; Female ; Humans ; Male ; Sleep ; physiology ; Sleep Wake Disorders ; epidemiology ; Students, Medical ; Surveys and Questionnaires

OBJECTIVETo develop the Chinese version of Children's Sleep Habits Questionnaire (CSHQ) by translating and retranslating the English version of CSHQ and to examine the reliability, content validity, construct validity of the Chinese version in a general population of school-age children.

METHODSDuring November and December 2005, a total of 20 457 school-age children from 55 primary schools of 9 cities were recruited through cluster-stratified selection, using geographic location, economic standard, and population density as criteria. A parent-administered questionnaire and the Chinese version of CSHQ were completed to quantify sociodemographic characteristics and to characterize sleep patterns and sleep disturbances, respectively.

RESULTSThe internal consistency of overall questionnaire and the eight subscales of the Chinese version of CSHQ was good (Cronbach's alpha coefficient was 0.73 and ranged from 0.42 to 0.69, respectively). The consistency between mother and father was ICCs = 0.89 for overall questionnaire and ranged from ICCs = 0.83 to ICCs = 0.92 for subscales. The test-retest reliability was ICCs = 0.85 for overall questionnaire and range from ICCs = 0.60 to ICCs = 0.88 for subscales. Factor analysis revealed a three-factor structure, which could represent bedtime behavior problems, sleep disturbance, sleep duration and daytime sleepiness, respectively, and the three factors could be used to explain 58.63% of the total variance. The factor loading was above 0.5 for the corresponding subscale.

CONCLUSIONSReliability, content validity and construct validity of the Chinese version of CSHQ in a general population of school-age children are good. It appears to be a suitable instrument for measuring sleep patterns and screening for sleep problems in school-aged children.

Child ; China ; epidemiology ; Female ; Humans ; Male ; Psychometrics ; Reproducibility of Results ; Sleep ; Sleep Wake Disorders ; epidemiology ; Surveys and Questionnaires

Objective: To explore the relationship of sleep duration and insomnia with muscle mass, strength, and quality in Chinese adults. Methods: Based on the second resurvey of China Kadoorie Biobank (CKB) in 2013-2014, logistic regression models were used to analyze the correlation of sleep duration, insomnia, and its duration with low muscle mass, handgrip strength, and muscle quality. Results: The average sleep duration of the study population was (7.4±1.5) hours. Morbidities of short sleep duration (<6 hours), long sleep duration (≥9 hours), and insomnia were 9.3%,17.4%,and 29.9%,respectively. Compared with those who slept for 7- hours, those who slept for ≥9 hours were more likely to have low muscle mass, low handgrip strength,and low arm muscle quality (AMQ), and the OR (95%CI) of low appendicular skeletal muscle mass index (ASMI), low total skeletal muscle mass index (TSMI), low grip strength and low AMQ were 1.32 (1.18-1.48),1.26 (1.13-1.41), 1.33 (1.18-1.49) and 1.16 (1.03-1.30), respectively. Compared with participants without insomnia, insomnia patients were more likely to have low muscle mass,and the longer the duration of insomnia,the higher the risk (P for trend <0.001). Participants who reported <6 hours sleep duration and insomnia had a higher proportion of low ASMI and low TSMI,compared with those who slept for 7- hours and without insomnia, the OR (95%CI) were 1.26 (1.08-1.47) and 1.25 (1.07-1.46), respectively. Conclusions: Participants who reported ≥9 hours sleep duration were more likely to have low muscle mass,low handgrip strength,and low AMQ. Participants with insomnia had lower muscle mass, and the longer the duration of insomnia, the higher the proportion of low ASMI and low TSMI.
Adult ; China/epidemiology* ; Hand Strength ; Humans ; Muscles ; Sleep/physiology* ; Sleep Initiation and Maintenance Disorders/epidemiology*

OBJECTIVE: To investigate the prevalence of sleep disorders and the relevant determinants in a cohort of primary Sjögren' s syndrome (pSS) patients. METHODS: One hundred and eighty-six pSS patients were included in the study, who were admitted to Peking University People' s Hospital and met the criteria of inclusion and exclusion. Sleep quality was assessed using the Pittsburgh sleep quality index(PSQI).Depression, anxiety were evaluated by patient health questionnaire (PHQ)-9, generalized anxiety disorder(GAD)-7, respectively. The demographic and clinical data were also recorded.Disease activity and damage were evaluated with the European League Against Rheumatism Sjögren's syndrome disease activity index (ESSDAI). According to the PSQI score>7, the pSS patients were divided into 152 cases of sleep disorder group and 34 cases of normal sleep group. Mann-Whitney U test, Chi-square test or Fisher' s exact test, independent samples t test, Spearman correlation analysis and Logistic regression were used for statistical analysis. RESULTS: The prevalence of sleep disturbance (PSQI > 7) was 81.7% (152 / 186) in the pSS patients, and 52.7% (98/186) had moderate or severe sleep disorders (PSQI≥ 11). The mean PSQI score of sleep disordered group was (12.29±3.30), while the normal sleep group PSQI score was (5.50±1.20). The PSQI score, PHQ-9 score and GAD-7 score in the sleep-disordered group were significantly higher than those in the normal sleep group (P=0.000, 0.035, 0.031). The PSQI score in the sleep disordered group were significantly higher than those in the normal sleep group in seven aspects: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disorders, hypnotic drug use and daytime dysfunction. All of them had statistical significance. According to the results of Spearman correlation analysis, PSQI had significantly positive correlation with course of disease, anxiety, depression score (r=0.151, 0.240, 0.421, P < 0.05), but negatively correlated with C3, C4 (r=-0.021, -0.235, P < 0.05). Logistic analysis identified the course of disease(OR=2.809, 95%CI: 1.21-6.52)and PHQ-9 score(OR=1.422, 95%CI: 1.04-1.94)as predictors of sleep disorders. CONCLUSION The incidence of sleep disorder in the pSS patients was higher, which was closely related to the course of disease, anxiety, depression and other factors. It is critical to assess and manage comprehensively the disease.
Anxiety/etiology* ; Cohort Studies ; Humans ; Sjogren's Syndrome/epidemiology* ; Sleep ; Sleep Wake Disorders/epidemiology*

Objective: To explore the correlation between sleep status and frailty in adults aged 30-79 years in China, and explore the potential effect modification of general and central obesity. Methods: Based on the baseline data of the China Kadoorie Biobank, we used multinomial logistic regression to analyze the correlation between long and short sleep duration, insomnia disorder, snoring, and unhealthy sleep score with risks of pre-frailty and frailty. Both overall and obesity-stratified analyses were performed. Result: Among the 512 724 participants, 2.3% had frailty and 40.1% had pre-frailty. There was a U-shaped relationship between sleep duration and frailty score. Short (OR=1.21, 95%CI: 1.19-1.23) or long sleep duration (OR=1.19, 95%CI: 1.17-1.21), insomnia disorder (OR=2.09, 95%CI: 2.02-2.17), and snoring (OR=1.61, 95%CI: 1.59-1.63) were all positively correlated with pre-frailty, and dose-response relationships were observed between unhealthy sleep score and pre-frailty (P for trend<0.001), with OR values of 1.46 (1.44-1.48), 1.97 (1.93-2.00) and 3.43 (3.21-3.67) respectively for those having unhealthy sleep score of 1 to 3. These sleep problems were also positively correlated with frailty. Compared with the overweight or obesity group, stronger relationships were observed between short sleep duration and frailty or pre-frailty and between insomnia disorder and pre-frailty, while the relationships between snoring and frailty and pre-frailty were weaker in the participants with normal weight (P for interaction <0.007 for all). We also observed similar effect modification by central obesity. Conclusion: Long or short sleep duration, insomnia disorder, snoring and higher unhealthy sleep scores were positively correlated with pre-frailty or frailty, general and central obesity status could modify the relationships.
Adult ; China/epidemiology* ; Frailty/epidemiology* ; Humans ; Obesity ; Obesity, Abdominal ; Sleep/physiology* ; Sleep Initiation and Maintenance Disorders/epidemiology* ; Sleep Wake Disorders ; Snoring/epidemiology*

INTRODUCTIONMany studies have reported various levels of association between sleep disorders and attention deficit hyperactivity disorder (ADHD). This study aims to investigate sleep disturbances in children with ADHD prior to treatment and during treatment.

MATERIALS AND METHODSThis study recruited 114 child and adolescent patients diagnosed with ADHD and 60 normal patients. Sleep disturbances are assessed using the parent-rated Child Behaviour Checklist (CBCL) questionnaire. In addition, chart reviews and semi-structured clinical interviews were conducted for 54 patients with ADHD who had been seen at the clinic since 2002 to examine the sleep disturbances they experienced during treatment over a 4-year period.

RESULTSCompared to the normal subjects, parents of children with ADHD reported that their children slept less. The summation score of the sleep items on the CBCL was also significantly higher in the ADHD group. Girls with ADHD also had more "trouble sleeping". When children with ADHD received treatment with medications, they experienced sleep-related side effects. Out of the 54 children with ADHD, 18.5% experienced sleep disturbance related to medication, with 13.0% reporting daytime somnolence and 5.5% reporting insomnia.

CONCLUSIONOur study showed that there was an increased frequency of sleep disturbances in children with ADHD prior to treatment with medications. The children in our study appeared to sleep less. A significant proportion also experienced sleep disturbance during treatment with medication, of which daytime somnolence and insomnia were the most commonly reported problems. Future research in this area is needed to further examine the range of sleep disorders in ADHD children locally.

Attention Deficit Disorder with Hyperactivity ; epidemiology ; Child ; Child, Preschool ; Comorbidity ; Disorders of Excessive Somnolence ; epidemiology ; Female ; Humans ; Male ; Prevalence ; Singapore ; Sleep Initiation and Maintenance Disorders ; epidemiology ; Sleep Wake Disorders ; epidemiology

OBJECTIVETo investigate the sleep status of college and high schools students.

METHODSPittsburgh sleep quality index (PSQI) and self-manufactured questionnaires about siesta habits were used as tools. Three groups of students from medical college (MC), senior high school (SS) and junior high school (JS) were surveyed.

RESULTSIn the group MC, SS and JS, the occurrence rates of sleep disorders were 27%, 62% and 54%, respectively, and in which the appearance rates of insomnia were 17%, 19% and 19%, longing for sleep were 10%, 43% and 35% respectively. And there were no significant difference between schoolboy and schoolgirl. The occurrence rates of slack breathing were different (5/155, 1/154) significantly between group SS and JS. The distinct differences also were found in group JS and MC, in which students felt hot (10/155, 1/122) and in all the three groups, in which students felt sleepy (55/155, 62/154, 13/122) whereas the difference of sleepy between group SS and JS was comparatively distinct (55/155, 62/154). Significant differences were also found between group JS and SS, MC in average sleep time of (7.65 +/- 0.87) hours, (7.16 +/- 0.83) hours, and (7.10 +/- 0.57) hours. The time of falling asleep (median 15 min, 10 min, 20 min) and siesta habit (8/155, 19/154, 75/122) among group MC and SS, JS were different respectively and markedly, whereas siesta habit differences between group SS and JS were comparatively distinct (8/155, 19/154).

CONCLUSIONStudents in high school showed higher rate of longing for sleep, and this implicated they fall short of sleep time greatly and siesta could improve their sleepy signs.

Adolescent ; Adult ; China ; epidemiology ; Female ; Humans ; Male ; Prevalence ; Sleep ; physiology ; Sleep Initiation and Maintenance Disorders ; epidemiology ; Sleep Wake Disorders ; epidemiology ; Students ; Surveys and Questionnaires

No abstract available.
Cardiovascular Diseases/*epidemiology ; Diabetes Mellitus, Type 2/*epidemiology ; Female ; Humans ; Male ; Sleep Disorders/*epidemiology

Adult ; China ; epidemiology ; Female ; Humans ; Pregnancy ; Pregnancy Complications ; epidemiology ; Sleep Wake Disorders ; epidemiology ; Surveys and Questionnaires

Objective of this study was to look into sleep patterns of university students in association with their lifestyle, specifically to examine mean sleep duration, prevalence of sleep disturbances and their correlates. This study also aimed to examine a possible association of sleep patterns of young adults with new media like computers and videos, which were supposed to have a great influence on their lifestyle. Self-reported sleep data were derived from questionnaires administered to a total of 1,414 students of one university located in Chullabuk-do, Korea. Statistical methods such as t-test, analyses of variance, chi-square test and multivariate logistic regression were used for analysis. The mean sleep duration of the respondents was 6.7+/-1.3 hr. Of the respondents, 30.2% reported having insufficient sleep. About one third of them pointed to visual media including computers as the primary reason. The proportion of those having some types of sleep disturbances was 36.2%. The risk of subjective sleep disturbances was significantly lower among those perceiving themselves healthy than among those perceiving themselves unhealthy (OR=0.44; 95% CI: 0.34-0.57).
Adult ; Female ; Human ; Logistic Models ; Male ; Prevalence ; *Sleep ; Sleep Disorders/*epidemiology ; Students ; Time Factors ; Universities