Effect of Brief Sleep Hygiene Education for Workers of an Information Technology Company
Mitsuru KAKINUMAMasaya TakahashiNoritada KatoYutaka AratakeMayumi WatanabeYumi IshikawaReiko KojimaMichi ShibaokaKatsutoshi Tanaka
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To investigate the effects of sleep hygiene education for workers of an information technology (IT) company, we conducted a controlled clinical trial providing 581 workers one-hour sleep hygiene education. The contents of the sleep hygiene education program were a review of sleep habits, provide sleep hygiene education, and the establishment of sleep habit goals. A self-report questionnaire was used to measure outcomes including the Pittsburgh Sleep Quality Index (PSQI), Karolinska Sleepiness Scale (KSS), Checklist Individual Strength (CIS), Center for Epidemiologic Studies for Depression (CES-D), and mean sleep duration on weekdays before and 4 wk after the intervention. A total of 391 participants were included in the analysis, with 214 participants in the sleep hygiene education group and 177 in the waiting list group. KSS score at 2 P.M. decreased by 0.42 points in the sleep hygiene education group, but increased by 0.08 points in the waiting list group, showing a significant effect size of 0.50 (95%CI, -0.97 to -0.04, p<0.05). PSQI score also improved, but the inter-group difference was not statically significant. The present study provides preliminary evidence that brief sleep hygiene education may improve afternoon sleepiness at work, but not sleep at night for IT workers.Keywords:
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Objective To explore the influence of non-drug comprehensive intervention on sleep quality of medical students,and to find a best way for improving the sleep quality.Methods A total of 96 medical students with poor sleep quality(PSQI≥8)were randomly divided into two groups:trial group(n=48)and control group(n=48).The students were intervened for 14 weeks with non-drug comprehensive intervention including health education,team mental training and individual psychological counseling in trial group,but not given any intervention in control group.Pittsburgh sleep quality index(PSQI),self-rating depression scale(SDS),self-rating anxiety scale(SAS),sleep hygiene practice and physical exercise degree questionnaires were investigated.Results The interactive effect of the detection time and intervention was significant in sleep healthy hygiene practice,physical exercise,depression,anxiety and PSQI total score(F=30.718,3.961,8.213,11.263,13.384,P=0.000,0.049,0.005,0.001,0.000).Simple effect analy-sis showed the scores of sleep hygiene practice,depression and PSQI total score in trial group were lower than in control group after intervention(t=3.491,2.998,3.683,P=0.001,0.003,0.000),but the score of physical exercise was higher than in control group after intervention(Z=3.008,P=0.003).Logistic regression analysis showed that sleep quality was related to sleep hygiene practice,physical exercise,depression and anxiety(P=0.002,0.000,0.018,0.017),OR=6.881,0.112,4.431,4.885.Conclusion Non-drug comprehensive intervention such as health education,team mental training and individual psychological counseling is one of the effective ways for improving sleep quality of medical students.
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Introduction. The purpose of this study was to evaluate sleep quality among healthcare science students and to assess its association with sleep hygiene knowledge and practices, circadian typology and lifestyle factors. Material and Methods. The research was conducted as a cross-sectional questionnaire-based internet study on a sample of 268 students. The Pittsburgh Sleep Quality Index and The Self-Morningness-Eveningness Questionnaire were applied as research instruments to assess sleep quality and chronotypes respectively, while evaluation of the other variables was conducted using he Sleep Hygiene Knowledge Questionnaire, socio-demographic questionnaire and the questionnaire of lifestyle factors. Results. The average of the Pittsburgh Sleep Quality Index global score for all students was 6.9 ? 3.2. The poor sleep quality (The Pittsburgh Sleep Quality Index > 5) was reported in 62.7% of students. Sleep efficiency less than 85% was found in 43.0% of students, and 78% of students reported daytime dysfunctionality. Sleep quality was significantly worse among female students; coffee, alcohol and energy drink consumers and long-term cell phone users. Only 11.9% of students were classified as the morning chronotype and they had the best quality of sleep and the best sleep hygiene knowledge and practices, whereas the evening chronotype had the worst quality of sleep. A significant negative correlation was identified between sleep hygiene knowledge (r = - 0.133) and practice (r = 0.501) and sleep quality whereby the lower t he Sleep Hygiene Knowledge Questionnaire and Sleep Hygiene Practice Scale scores follow a higher the Pittsburgh Sleep Quality Index score. Conclusion. Majority of students had a suboptimal level of overall sleep quality, satisfactory knowledge of sleep hygiene, but they did not have the sleep hygiene practices which suggests that knowledge is not a factor of deterring from unhealthy behaviors.
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Objective Poor sleep quality resulting from experiencing anxiety, and low adherence to sleep hygiene behaviours, may lead to poorer academic engagement. The aim of the current study was to elucidate the associations between anxiety, sleep hygiene, sleep quality, and academic engagement of university students.Methods Participants (N = 614) comprised students attending a major university in Australia (n = 329) and Hong Kong (n = 285). A two-wave correlational design was utilised. At Time 1 (T1), anxiety was measured using the anxiety subscale of the Depression Anxiety Stress Scale 21 (DASS-21) and sleep hygiene behaviour was assessed with the Sleep Hygiene Index (SHI). One month later, at Time (T2), sleep quality was measured with the self-report Pittsburgh Sleep Quality Index (PSQI) global sleep quality score and academic engagement was measured using the shortened Utrecht Work Engagement Scale – Student version (UWES-S). Structural equation modelling was used to analyse the associations among study constructs.Results Analyses found that in both the Australia and Hong Kong samples the model showed good fit to data for the observed effect sizes. In both samples, anxiety predicted sleep quality and effects were mediated by sleep hygiene. Also, the indirect effect of anxiety on academic engagement via sleep hygiene and sleep quality was significant, and fully mediated the effects of anxiety on academic engagement in both samples.Conclusions Results indicate that students with higher anxiety tend to have lower adherence to sleep hygiene behaviours and experience poorer sleep quality which, in turn, negatively affects their academic engagement.Key PointsWhat is already known about this topic: (1) Students are expected to spend large amounts of time studying and display a high level of engagement with their academic programme.(2) Academic engagement is linked to students' academic achievement and wellness. (3) Academic disengagement has been linked to poor sleep hygiene behaviours and high levels of anxiety.What this topic adds: (1) The impact of anxiety on sleep quality was associated with sleep hygiene behaviours, and the impact of anxiety on academic engagement was associated with sleep hygiene behaviours and sleep quality.(2) The model predicting academic engagement from anxiety mediated by sleep hygiene and sleep quality was similar in both Australian and Hong Kong students.(3) Findings may signpost possible avenues for the development of interventions aimed at improving university students' sleep quality and academic engagement.
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Sleep architecture and sleep hygiene might be disrupted by several pathogenetic mechanisms, and the effect of smoking has not been evaluated.To investigate the effect of smoking on sleep hygiene behaviors that might be associated with the deterioration of quality-of-life (QoL) parameters.In a prospective cross-sectional study, smokers (n=114) and nonsmokers (n=119) were included. The Pittsburgh Sleep Quality İndex (PSQI), the Epworth Daytime Sleepiness Scale (ESS), the Sleep Hygiene Index (SHI), and the Short Form-36 quality of life scale (SF-36) were applied.We found that none of the components, as well as the PSQI total score were affected in smokers compared with the nonsmoker controls (65.5% of smokers had poor sleep compared to 62.5% of nonsmokers). Although smokers tend to get out of bed at different times from day to day and do important work before bedtime (components of the SHI) more often than non-smokers, no significant differences were detected between groups in any component and SHI total score (27.91±6.72 for smokers and 29.23±8.0 for non-smokers). ESS, depression and anxiety symptoms, and SHI scores in smokers with poor sleep quality were significantly different compared with smokers that had normal sleep quality. Both PSQI and SHI scores were inversely associated with QoL parameters.Our results suggest that smoking by itself is not associated with poor sleep hygiene or sleep quality. It can be concluded that worse SHI and quality of sleep negatively affect QoL, depression, and anxiety in smokers.
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Abstract Introduction Typically, college students practice unhealthy sleep hygiene behaviors, obtain too little sleep, and experience poor sleep quality. Sleep hygiene includes the routines or practices that prepare a person for the best possible night of sleep. Good sleep hygiene habits, like creating a sleep-friendly environment and making time for sleep, promote healthy duration and quality of sleep. Stress is also an important factor to consider during the college experience. Sleep and mental health are tightly connected, and stress can negatively impact the sleep and mental health of individuals. The focus of the current study was to examine habitual sleep habits in college students, in association with sleep quality and psychological health. Methods Participants included 51 undergraduate students (18 men, average age M=20.25 years, SD=1.78) who wore wrist actigraphs to measure their typical sleep habits for one week. After one week, participants completed questionnaires about sleep quality (Pittsburgh Sleep Quality Index, PSQI) and sleep hygiene practices (Sleep Hygiene Index, SHI). Higher scores on PSQI represent poorer quality; higher scores on SHI represent unhealthy sleep hygiene behaviors. Mental health symptoms were measured by the Depression, Anxiety, and Stress Scale (DASS-21). Results Overall sleep duration was 6.59 hours and sleep efficiency was 82.55% as measured by actigraphy. PSQI scores (M=6.86) demonstrated poor sleep quality and SHI scores (M= 24.80) indicated overall poor sleep hygiene practices. SHI scores predicted higher PSQI scores (F(1, 50) = 18.05, p<.001), but did not predict sleep duration or efficiency. Depression, anxiety, and stress scores on the DASS predicted poorer sleep hygiene (F(1, 50) = 18.05, p<.001; F(1, 50) = 5.82, p=.020; F(1, 50) = 13.42, p<.001; respectively). Conclusion As expected, college students’ sleep was short in duration, poor in efficiency, and poor in quality. Additionally, poor sleep hygiene practices predicted poorer sleep quality. Interestingly, scores that indicated worse depression, anxiety, and stress predicted poorer sleep hygiene practices, suggesting that mental health may contribute to healthy sleep practices. More research is needed to understand the complex relationship between mental health, sleep, and healthy sleep practices Support (If Any) None.
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To study the effectiveness of zolpidem and sleep hygiene counseling in managing insomnia in solid tumor patients.Cancer patients with a Pittsburgh Sleep Quality Index score ≥ 5 were grouped into two. Both groups received treatment for insomnia in the form of either zolpidem 5 mg for 7 days or sleep hygiene counseling.At baseline, zolpidem and counseling group had a mean Pittsburgh Sleep Quality Index score of 14.82 ± 2.61 and 11.67 ± 3.32, respectively. The difference in mean Pittsburgh Sleep Quality Index score was found to be 4.03 in patients using zolpidem and 1.5 in counseled patients (p = 0.003). The components of Pittsburgh Sleep Quality Index namely difficulty falling asleep within 30 min (sleep latency), overall sleep quality, trouble staying awake during daytime and trouble staying motivated to get things done showed statistically significant improvement after treatment with zolpidem. Following sleep hygiene counseling, the proportion of patients with sleep latency > 30 min reduced considerably. Waking up to use the bathroom was the most common problem reported by approximately 94% patients in both groups before treatment which remained the most prevalent problem even after treatment. Night or early morning awakenings seemed to decrease significantly in patients taking zolpidem (p = 0.039) while it did not show any improvement with counseling. Counseling seemed to get patients to sleep within 30 min.Patients on zolpidem showed a reduction in their Pittsburgh Sleep Quality Index scores thereby suggesting it as a treatment for insomnia in solid tumor patients. Sleep hygiene counseling, though not as effective as zolpidem, made a slight difference in the overall sleep.
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Abstract Introduction Though sleep hygiene practice is a promising approach to individuals with poor sleep quality, less research has been done in different ethnic population regarding the effect of sleep hygiene in individuals with poor sleep quality. Aim: To investigate the efficacy of sleep hygiene among individuals with poor sleep quality Methods Methodology: This was a prospective study of 250 participants from different ethnic populations using the Pittsburgh Sleep Quality Index (PSQI). Sleep hygiene advices were given online to the individuals with poor sleep quality (PSQI > 5). Post- test of PSQI score was done after 8 weeks following the Sleep hygiene practices. Survey was done online through google forms and the score was calculated and the level pf sleep quality was sent to the participants (good or poor). A cut of value of PSQI 5 was taken in to consideration. .Questionnaire was sent to participants through snowball sampling. Results Results There were 250 participants in this study and the sleep quality index was found to be significantly different (p<0.001) between pre- and post-intervention (Sleep hygiene advice). Age was 30.21±10.70 (mean ± SD) years and there were 157 (63%) females and 93 (37%) males. There were participants from 16 countries, majority responses from India, Saudi and Philippines. PSQI was 8.58 ± 2.49 before the sleep hygiene advice and 5.74± 1.86 post sleep hygiene practice. There was a significant improvement in the sleep quality. Significant correlation was seen between global PSQI score and the 7 components of the PSQI scoring. Conclusion: Conclusion Sleep hygiene can help in improving the sleep quality of individuals with poor sleep quality Support (if any):
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Introduction: Despite the implementation of resident work hour regulations, studieshave not consistently shown beneficial changes in residents’ sleep quality or duration. Wehypothesized that inter-individual sleep-related differences may exist prior to training and thepre-existing sleep health and habits may impact training.Objective: To determine interns’ baseline sleep quality, sleep hygiene, chronotypes, andtheir correlates at the beginning of their residency training program.Methods: A cross-sectional study using an anonymous “Resident Sleep Survey” includedbaseline demographic information and questionnaires, including the Epworth SleepinessScale (ESS), the Pittsburgh’s Sleep Quality Index (PSQI), the Morningness-EveningnessQuestionnaire (MEQ), and the Sleep Hygiene Index (SHI).Results: One hundred and twenty-nine subjects participated the study; 45.7 % (n=59)were male and 18.6 % (n=24) were married. Twenty percent of interns had an ESS >10. ThePSQI revealed that 28% of interns had poor sleep hygiene. The mean sleep efficiency was91.2 ±7.4% estimated from the PSQI. Non-married interns had a lower prevalence of morningchronotypes (22.3% vs. 45.8%, p=0.02). Morning chronotype interns had a lower ESS score(6.1 ±3.1 vs. 7.6 ±3.6, p=0.03) and a lower SHI (29 ±7.0 vs. 34.3 ±7.1, p=0.003).Conclusion: About a quarter of interns had poor sleep quality and excessive daytimesleepiness prior to their training. Non-morning chronotype interns appeared to have moredaytime sleepiness and poorer sleep quality. Since pre-existing sleep problems may adverselyaffect learning, we suggest that strategies to improve sleep hygiene and quality in this specificpopulation should be emphasized early in their training.
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Background. Poor sleep quality is common among medical students. There has been no report about the main factor that can induce poor sleep quality among medical students in Faculty of Medicine Universitas Tanjungpura. Objective. The aim of this study was to determine the association between student’s characteristics and sleep quality among medical students in Faculty of Medicine Universitas Tanjungpura. Method. This study was a cross-sectional study. Data collection was performed using demographic questionnaire, Depression Anxiety Stress Scale (DASS), Sleep Hygiene Index (SHI), Pittsburgh Sleep Quality Index (PSQI) and were analyzed with logistic regression. Result. There were 147 students had poor sleep quality (73,5%). Most of the students were female (55,0%), in the second year of study (35,5%), lived with parents (42,0%), had good sleep hygiene (53%), normal level of depression symptoms (77,5%), anxiety symptoms (55,5%) and stress symptoms (72,5%). There was no association between sex (p=0,199), lenght of study (p=0,270), types of residence (p=0,314), level of stress symptoms (p=0,938) and sleep quality. Level of depression symptoms (p=0,036), level of anxiety symptoms (p=0,038), sleep hygiene (p=0,000) were associated with sleep quality. Conclusion. Most of the medical students have poor sleep quality (73,5%). There is significant association between level of depression symptoms, level of anxiety symptoms, sleep hygiene and sleep quality. Poor sleep hygiene is the main risk factor for poor sleep quality. Key words: Sleep quality, medical students characteristics, Pittsburgh Sleep Quality Index (PSQI) 1) Medical School, Faculty of Medicine, Universitas Tanjungpura, Pontianak, West Kalimantan 2) Departement of Psychiatry, Doctor Rubini General Hospital Mempawah, West Kalimantan 3) Departement of Physiology, Faculty of Medicine, Universitas Tanjungpura, Pontianak, West Kalimantan
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