Poor Sleep Hygiene Research Articles

Low Sleep Hygiene Is Associated with Less Adherence to the Mediterranean Diet in Chilean Schoolchildren from Rural Public Schools-A Cross-Sectional Study.

The Mediterranean diet stands as a widely acknowledged and health-promoting dietary pattern, renowned for its notable linkage to the mitigation of noncommunicable chronic maladies. Nonetheless, the existing body of evidence concerning the potential interrelation between sleep hygiene and this dietary regimen remains circumscribed. The main objective was to determine the association between sleep hygiene and adherence to the Mediterranean diet in Chilean schoolchildren from rural public schools in southern Chile. A non-experimental study was carried out, with an analytical, cross-sectional design. A total of 265 students (56.6% women, mean age 13.5 ± 1.8) from a rural community in southern Chile were recruited. Sleep habits were evaluated using Section 6 of the Life Habits and Adolescence Questionnaire, Sleep and Rest, and adherence to the Mediterranean diet was assessed with the KIDMED Mediterranean Diet Adherence Questionnaire. The main results indicated that 52.8% of schoolchildren need to improve adherence to the Mediterranean diet and 16.6% have a low-quality Mediterranean diet. A high percentage of schoolchildren have behaviors related to poor sleep hygiene (going to bed late (46%), waking up tired and wanting to continue sleeping (63.8%), and having problems falling asleep (42.6%)). Schoolchildren who got up after 8:30 a.m., those who fell asleep after midnight, upon conducting a comparative analysis of the students based on their sleep patterns, those who woke up tired and those who had trouble falling asleep had a lower level of adherence to the Mediterranean diet compared to schoolchildren who got up earlier than 8:30 a.m., fell asleep before midnight, did not wake up tired, and those who did not find it difficult to fall asleep, respectively. In conclusion, having poor sleep patterns including difficulties in both awakening and falling asleep are associated with less adherence to the Mediterranean diet in schoolchildren from rural public schools in southern Chile. Monitoring these variables and promoting healthy lifestyle habits within the educational community are essential measures.

The Positive and Negative Impacts of Technology on Children

As globalization has altered our lives in many ways, our communication patterns have seen the most significant transformation. Recent technical innovations include those in computers, smartphones, Tablet, iPad , internet and their multiple uses for data, voice calls, text messages, online and offline gaming, and social networking apps. It has been incorporated into so many facets of our lives and the lives of our kids that it is now practically a need. Children are increasingly more likely to own and utilize technological devices. Recognizing how technology affects a child's development, growth ,health and wellbeing is crucial. Technology for children can be useful since it allows them to express their creativity through games on their phones or programs that stimulate their senses and imagination. Technology can be beneficial in organization, planning ,critical thinking and bonding among children. However, if used excessively or unsupervised, it can cause children to become dependent on them and perhaps develop addiction. Developmental issues, musculoskeletal issues, physical inactivity, obesity, and poor sleep hygiene are among the health hazards associated with children's improper usage of such technological gadgets in terms of content, duration, frequency, and posture. The truth is that if we utilize technology appropriately, it never causes issues and should resolve them. The primary goal of this review is to emphasize the effects of technology on children, positive as well as negative. Keywords children ,development, technology, technological devices

Impact of Shift Work on Excessive Daytime Sleepiness among Healthcare Shift Workers

Background: The circadian rhythm can disturb caused by the shift work system, that effect leading to daily sleepiness, and a higher risk of serious health problems. Many healthcare workers are shift workers. Being drowsy condition when one is not expected to be drowsy is called Excessive daytime sleepiness (EDS). EDS is associated with poor sleep hygiene, workspace errors, a lack of productivity, and lack of concentration which are significant safety concerns and a higher risk of occupational accidents among nightshift workers. This study aims to review the original studies on the association of shift work with excessive daytime sleepiness among healthcare shift workers. Methods: This article is a literature review consisting of journal articles. Articles were searched in the following databases PubMed, Scientific Scholar, Google Scholar, and EBSCO. The search terms used were ‘shift work’. ‘Excessive daytime sleepiness’ and Limitations included ‘English language’, ‘published between 2013-2023’, and ‘shift workers’.Results: Based on eleven articles that were analyzed, shift work and excessive daytime sleepiness are directly related to each other among shift workers. There are factors that cause EDS including lack of sleep duration and sleep quality, as well as several comorbidities, and the impact of EDS.

Impact of COVID-19 pandemic on insomnia and sleep efficiency in parents and caregivers of young children

IntroductionDuring the COVID-19 pandemic, sleep problems were highly prevalent. However, few studies assess sleep quality among parents and caregivers with young children. This study aimed to describe the impacts of the COVID-19 pandemic on sleep patterns among parents and caregivers with young children (<6 years) and identify the factors associated with insomnia and sleep efficiency.MethodsAn internet sample of 136 caregivers (age: 35 ± 9.7 y, 70.6% female) were recruited internationally from May 21, 2020 to July 1, 2020. Participants completed the Center for Epidemiological Studies–Depression Scale-10 (CES-D-10), Sleep Hygiene and Practices Scale (SHPS), Coronavirus Impact Scale (CIS), Insomnia Severity Index (ISI), and sleep patterns prior to and during the pandemic. Hierarchical regressions were conducted to examine the factors associated with insomnia and sleep efficiency.ResultsNearly 40% of the caregivers reported household incomes <$10,000. More than half reported clinical levels of depressive symptoms (59.2%) and low sleep efficiency (65.8%). Approximately 90% reported that their sleep-wake routine was altered with delayed bedtime and midpoint, and more naps and nightmares. Almost half (51.5%) were experiencing clinically meaningful insomnia symptoms. Greater insomnia symptom severity was independently associated with lower income, greater depressive symptoms, poor sleep hygiene behaviors, altered sleep-wake routine, and greater COVID-related disruptions in daily life. The predictors associated with poor sleep efficiency during the pandemic were lower income and poor sleep efficiency before the pandemic.DiscussionThe study highlighted the factors associated with insomnia and poor sleep efficiency during the COVID-19 pandemic. Interventions are needed to support caregivers' sleep during global crises.

Poor Sleep Quality and Associated Factors among People Living with HIV/AIDS Attending ART Clinic at Tirunesh Beijing Hospital, Addis Ababa, Ethiopia.

Sleep is a universal need of all higher life forms, including humans. However, sleep problems are one of the most common problems raised by patients living with human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS). Poor sleep quality is one of the hidden and unrecognized factors contributing to poor medication adherence and functional inactivity among people living with human immunodeficiency virus/acquired immunodeficiency syndrome. A hospital-based cross-sectional study was conducted from April 15, 2022, to May 30, 2022, at an antiretroviral therapy (ART) clinic of Tirunesh Beijing Hospital. A systematic sampling technique was used to select study participants. A total of 413 people who are living with human immunodeficiency virus/acquired immunodeficiency syndrome were enrolled in the study. Data were collected through interviews when study participants finished their visit. Variables whose P value was less than 0.2 in bivariable logistic regression were entered into multivariable binary logistic regression to identify factors associated with poor sleep quality. The level of poor sleep quality among people living with HIV/AIDS was 73.7%. People living with HIV/AIDS who had poor sleep hygiene were 2.5 times more likely to have poor sleep quality compared with those patients who had good sleep hygiene. Moreover, study participants who had anxiety were three times more likely to have poor sleep quality compared with those who did not have anxiety (AOR: 3.09; 95% CI = 1.61-5.89). Study participants who had chronic diseases in addition to HIV/AIDS were 3 times more likely to have poor sleep quality compared with those who do not have it (AOR: 2.99; 95% CI = 1.15-7.79). Additionally, people living with HIV/AIDS who were stigmatized due to their disease were 2.5 times more likely to have poor sleep quality compared with their counterparts (AOR = 2.49; 95% CI = 1.43-4.21). In this study, the magnitude of poor sleep quality among people living with HIV/AIDS was high. Being a farmer, being a merchant, having chronic diseases, having anxiety, having a CD4 count of 200-499 cells/mm3, being stigmatized, and having poor sleep hygiene were factors that had an association with poor sleep quality. Healthcare providers should screen people living with HIV/AIDS for anxiety and encourage them to practice good sleep hygiene during follow-up.

Sleep Quality and Sleep Hygiene Behaviours Among University Students in Qatar.

Insomnia is a highly prevalent health problem, affecting about one-third of the adult population globally. University students are at a high risk for developing insomnia due to the stressful nature of academic life and often unhealthy sleeping habits. The aim of this study was to explore the prevalence of poor sleep quality and investigate sleep hygiene patterns among university students in Qatar. A cross-sectional study was conducted among university students using two validated instruments: the Pittsburgh Sleep Quality Index (PSQI) and the Sleep Hygiene Index (SHI). Data were analyzed using descriptive and inferential statistics, including correlation and multivariate regression analyses. Two thousand and sixty-two students responded to the web-based survey. The mean PSQI score (7.57±3.03) was indicative of poor sleep quality in approximately 70% of the students. Similarly, the mean SHI score (21.79±6.69) was indicative of poor sleep hygiene patterns in 79% of the students. Academic program type, marital status, gender, and sleep hygiene significantly influenced sleep quality. After controlling for all possible covariates in the multiple regression analysis, sleep hygiene remained as the only factor significantly predicting sleep quality. Students with a good sleep hygiene were about four times more likely to have a good sleep quality compared to those with poor sleep hygiene (adjusted OR= 3.66, 95% CI= 2.8-4.8, p <0.001). Poor sleep quality and inadequate sleep hygiene practices were highly prevalent among university students in Qatar. Sleep hygiene was found to be the only significant predictor of sleep quality such that those adopting healthy sleep hygiene practices were more likely to have better sleep quality. Interventions to raise awareness on the effect of sleep hygiene on sleep quality among university students are needed.

Longitudinal Findings on the Oneiric Activity Changes Across the Pandemic.

COVID-19 pandemic waves have strongly influenced individuals' behaviors and mental health. Here, we analyzed longitudinal data collected in the Spring 2020 and 2021 from a large Italian sample with the aim of assessing changes in dream features between the first and third wave. Specifically, we evaluated the modifications of pandemic dream activity as a function of the general distress variations over time. Also, we detected the best explanatory variables of nightmare frequency and distress. Participants previously involved in the web survey during the first wave of the pandemic were asked to complete a new online survey on sleep and dream features available in Spring 2021 (N=728). Subjects decreasing their level of psychological general distress in the third (T3) vs the first (T1) pandemic wave were defined as "Improved" (N=330). In contrast, participants with an unchanged or increased level of general distress were defined as "Not Improved" (N=398). Statistical comparisons revealed that dream recall frequency, nightmare frequency, lucid dream frequency, and emotional intensity show a reduction in T3 than T1. Moreover, the Improved group is characterized by lower nightmare rate and nightmare distress than Not Improved people. Our findings confirmed that beyond the trait-like variables (ie, age, sex), specific sleep-related measures are related to nightmare features. In particular, poor sleep hygiene was one of the best determinants of nightmare distress among Not Improved subjects. Our findings revealed that people experienced an adaptation to the pandemic during the third wave. We also strengthen the notion that nightmares and their variations over time are strongly related to human well-being, suggesting that specific trait-like and sleep-related factors could modulate the relationship between mental health and nightmare features.

0192 Sleep Hygiene and Self-Efficacy for Sleep Hygiene among Good and Poor Sleepers: A Secondary Analysis

Abstract Introduction College students are at risk for sleep disturbances that may influence academic performance and cognitive function. Poor sleep hygiene and sleep quality over time results in inadequate sleep and daytime sleepiness, which, if not addressed, eventually leads to sleep deprivation and adverse health effects. The current study aims to identify if sleep hygiene practices and self-efficacy relate to poor and good sleepers categorized according to the Pittsburg Sleep Quality Index (PSQI) Score &amp;gt; or &amp;lt; 5) among a sample of college students. Methods Secondary analysis of baseline data from college student participants aged 18-26 from an intervention study was used. All participants completed demographic, sleep hygiene, and sleep quality assessments. (e.g., Sleep hygiene index [SHI], Self-efficacy for sleep hygiene inventory [SHESHI], and PSQI). Descriptive statistics were calculated for demographic, sleep quality, and sleep hygiene variables. Results The sample (n=119) included 15 Freshmen, 30 Sophomores, 52 Juniors, and 21 Seniors, of which 26 were male and 93 female college students. The total sample mean age=20.6 y +2.0, range: 18-26; 82.4% were White, 55% worked part-time, and 69.8% considered themselves night owls. Data were examined to determine if poor and good sleepers differed across key demographic variables. There were no statistically significant differences between the groups. The sample comprised 47.0 % (n=56) poor sleepers and 52.9% (n=63) good sleepers. A Mann-Whitney U test was run to determine if there were differences in self-efficacy scores and sleep hygiene practices between poor and good sleepers. Mean rank self-efficacy scores for poor sleepers (44.15) were significantly lower than for good sleepers (74.09), U=876, z = -4.725, p &amp;lt;.001. Mean rank sleep hygiene index scores for poor sleepers (76.05) were significantly higher than good sleepers (45.73) U=865, z = -4.793, p &amp;lt;.001. Conclusion Preliminary descriptive findings highlight significant characteristics of sleep hygiene efficacy in college students with good and poor sleep. All surveys were subjective measures. Future use of an objective measure of actual sleep time and sleep health index would add to an understanding of sleep issues in college students. Support (if any) N/A

0299 Sleep Hygiene in Nurses Using Data Collected from Consumer Sleep Technology (CST) with the SleepTank™ mobile app

Abstract Introduction Nurses are prone to fatigue and sleep disturbances due to extended hour or shiftwork schedules. Fatigue in nurses not only compromises their own health and safety, but jeopardizes patient care as well. Nurses' work hours and overtime are currently not federally regulated. Fatigue risk mitigation strategies for nurses would benefit from understanding the relationship between sleep duration and work patterns in order to develop tools and regulations to protect against fatigue in the nursing profession. Methods Thirteen (N=13) nurses wore a Fitbit Versa 2 and used the SleepTank™ mobile app during a 6-week work rotation. Nurses in this study selected their own work shifts but did have duty-hour limitations. Sleep data was extracted via the mobile app; work schedules were self-reported. Sleep duration data was summed by date to provide a 24-hour estimate of time in bed (TIB24). Repeated measures analysis of variance (rmANOVA) explored differences in TIB24 by number of consecutive days worked and time. Pearson’s correlations evaluated the relationship between work and sleep. Results Nurses (N=13) wore the device with the app for an average of 54±15 days. Forty percent (40%) of the study period were work days (22±10). Nurses slept longer on non-work days (525±153 min) compared to work days (481±143; t=3.21, p=0.001). Nurses worked 2 days in a row on average (Range: 1-5). TIB24 was ~30 minutes shorter with each consecutive day worked (F5, 81=8.11, η2=0.08, p=&amp;lt; 0.001). Routinely working a greater number of consecutive days was negatively correlated to TIB24 (r=0.71, p=0.009). Later average work start time was positively correlated with later bedtime (r=0.83, p&amp;lt; 0.001) and shorter TIB24 (r=0.65, p=0.01). Conclusion Working more days consecutively and working later shifts was related to shorter sleep duration and later bedtime in nurses. However, given that nurses in this study routinely slept longer than 7 hours per night, poor sleep hygiene does not appear to be an issue in this population. The ability to select their own work shifts may allow nurses to select a schedule that permits healthy sleep behavior. Support (if any) N/A

0279 Sleep Hygiene for Sleep Health in the General Population: What Does Data From Consumer Sleep Technology Tell Us?

Abstract Introduction Despite being used and widely recommended since the 1970s, few studies have examined whether adherence to sleep hygiene practices affect objectively measured sleep in non-clinical populations. While individual components of sleep hygiene such as limiting caffeine and alcohol consumption are clearly related to sleep by plausible physiological and psychosocial mechanisms, the real-world evidence of overall sleep hygiene practices on sleep is surprisingly inconsistent. Here, we examined the association between self-reported sleep hygiene practices and objectively measured sleep in a general population. Methods Responses to a survey on sleep hygiene were used and matched with objective sleep data, resulting in data from 720 users (mean age: 52.5 ± 15.9, 63.4% female). Objective sleep data across 92,808 nights were included in the analysis from the PSG-validated SleepScore Mobile Application, which uses a non-contact sonar-based method to capture sleep-related metrics and self-reported lifestyle. Self-reported sleep hygiene practices were assessed with 13-items on a 5-point scale ranging from “Never” to “Always”. Descriptive statistics and linear regressions were used for the analysis, controlling for age and gender. Results Overall, the top three most frequented poor sleep hygiene practices were going to bed at different times (29.7%), overthinking/worrying in bed (24.0%), and waking at different times (22.7%). Linear regressions revealed a significant negative association between composite sleep hygiene scores and objective sleep measures, whereby poorer sleep hygiene was associated with significant reductions in total sleep time (ß=-0.89, SE=0.33, p&amp;lt; 0.01), REM duration (ß=-0.24, SE=0.10, p&amp;lt; 0.05), and SleepScore (ß=-0.15, SE=0.05, p&amp;lt; 0.01), an objective sleep quality metric. No significant associations were observed between individual sleep hygiene factors and objectively measured sleep. Conclusion While we could not identify a relationship between individual hygiene factors and sleep, poorer aggregated sleep hygiene scores were associated with poorer objectively measured sleep. Thus, sleep health may not be defined by one single behavior, but rather by the sum of its parts. Future work should examine the efficacy of personalized sleep hygiene factors in sub-clinical populations, where targeted sleep hygiene education may be preferred given it is more intuitive and less burdensome than other behavioral interventions. Support (if any) SleepScore Labs

0785 Sleep Habits and Sleep Hygiene Practices of South African Primary School-Aged Children: An Exploratory Study

Abstract Introduction Insufficient sleep adversely affects the physiological and psychological well-being of children and their families. Reports indicate that children's sleep health is declining; however, comparable data on the South African pediatric population is lacking. To this end, the current study aimed to explore the sleep quality and sleep hygiene practices of South African primary school-aged children. Methods The current study was exploratory and employed convenience sampling. Parents/legal guardians of South African children (6 – 11 years) attending primary school were recruited through social media platforms and asked to complete an online survey. The survey captured basic biographical information on their child's sleep habits (Children’s Sleep Health Questionnaire, CSHQ) and sleep hygiene practices (Children’s Sleep Hygiene Scale, CSHS). Survey responses were collected from May–August 2022. Results Of the 448 responses, 208 were included in the data analysis. Responses were received from eight South African provinces; the highest response was from the Western Cape (38.5%), followed by Gauteng (30.3%). The mean age of the study population was 8.0 ± 1.7 years (mean ± SD) and 51% were female. Of the children surveyed, 49.5% attended government schools. The mean parental report of sleep duration was 9.31 ± 0.45 hrs. The mean total sleep disturbance score based on the CSHQ was 47 ± 8.4, with 76% of children scoring greater than or equal to 41, indicating the presence of a possible sleep disturbance. The mean sleep hygiene index was 28.0 ± 3.4. Linear regression analysis revealed a significant correlation between total sleep disturbance and sleep hygiene scores (R2 = 0.32, p &amp;lt; 0.001); low sleep hygiene index scores were associated with a higher total sleep disturbance score. Multiple quantile regression models revealed that home-schooling and increased age were also significantly associated with sleep disturbance scores. Conclusion While the reported total sleep time for South African primary school-aged children was within the recommended range (9 – 11 hrs) for this age group, the overall presence of possible sleep disturbances was high, which could be attributed to poor sleep hygiene practices. Support (if any)

0923 Poor sleep hygiene is widespread among first-year medical students

Abstract Introduction Poor sleep health is widespread within healthcare and is notoriously neglected during residency; however, little is known about sleep quality during the pre-clinical years of medical school. Sleep hygiene is broadly defined as the sleep-adjacent behaviors and beliefs that significantly contribute to sleep quality. This study sought to determine the prevalence of various sleep hygiene related behaviors among first-year medical students. Methods A one-time, 130-item survey was distributed to the first-year medical school class three months into the first semester. Quantitative and open-text questions sought to understand student demographics, mental health, sleep quality, and sleep-related behaviors, beliefs, and knowledge. Mean bedtimes were grouped based on when students drank their last caffeinated beverage and compared using one-way analysis of variance (ANOVA) with the Turkey HSD test. Statistical significance was considered a p-value ≤0.05. Results 138 of the 209 person (66%) first-year medical school class completed the survey. Demographics mirrored those of the whole class: 46% male, 54% female, and average age 23.5. While only 15% of students reported pulling an all-nighter (obtaining less than 2 hours of sleep over 24 hours) during the current academic year, many other behaviors associated with poor sleep hygiene were prevalent. Large proportions of students reported using social media (78%), texting (68%), watching television (41%), and thinking (53%) in bed more than three times per week. Caffeine use was also high. Only 12 respondents (8.7%) reported never consuming caffeinated products, while just over 50% consumed caffeine at least once per day. Furthermore, of the 126 students who reported caffeine use at least once per month, 74 (59%) drank their last caffeinated beverage after 2:00 p.m. Intriguingly, average weekday bedtimes did not differ based on when students consumed their last caffeinated beverage (p=0.059), suggesting that caffeine consumption is driven by factors other than predicted bedtime. Conclusion Poor sleep hygiene is widespread among first-year medical students. Future interventions should seek to increase awareness among medical students about sleep hygiene and its importance while providing them with feasible tips for how to incorporate them into their lives. Support (if any)

THE EFFECT OF SLEEP HYGIENE ACTIVITY THERAPY ON SLEEP QUALITY IN THE ELDERLY: A SYSTEMATIC REVIEW

Background: The quality of sleep is related to the age factor. Elderly People over the age of 65 often experience sleep disturbances. Sleep disturbances experienced vary, usually caused by poor sleep hygiene. The impact of sleep disturbances can result in non-fulfillment of quality and quantity of sleep in the elderly. this also affects the immune system of the elderly so that the elderly are susceptible to disease. Sleep hygiene activity therapy is a non-pharmacological therapy that can improve the sleep quality of the elderly.&#x0D; Objective: The purpose of this systematic review is to examine the effect of sleep hygiene on sleep quality in the elderly.&#x0D; Design: This systematic review was carried out by searching for articles that match the inclusion criteria, namely sleep hygiene, sleep quality, and the elderly on the Google Scholar database, PubMed with years of publication from 2018 to 2022. Then 16 articles were found that matched, and presented in the form of a PICO table.&#x0D; Results: Based on the analysis of journal reviews, it was found that there was an influence between sleep hygiene activities in the elderly.&#x0D; Conclusion: The overall results of the articles that have been reviewed state that, the better sleep hygiene is done or applied by the elderly, the quality of sleep will be good or optimal.

Sleep Hygiene Practices and Its Impact on Mental Health and Functional Performance Among Adults in Tabuk City: A Cross-Sectional Study.

Background Poor or imperfect sleep hygiene practices include all factors that promote arousal or disrupt the normal balance of the sleep-wake cycle. It is necessary to clarify the relationship between sleep hygiene behaviors and a person's mental health. This may allow a better understanding of this problem and might help design effective awareness programs about good sleep hygiene practices for reducing the serious outcomes of this problem. Therefore, the current study was conducted to evaluate sleep hygiene practices and assess the impact of sleep hygiene on sleep quality and the mental health of the adult population of Tabuk city, Saudi Arabia. Methodology This cross-sectional, survey-based study was conducted in Tabuk city, Saudi Arabia in 2022. All adult residents of Tabuk city, Saudi Arabia were invited to participate. Participants with incomplete data were excluded from the study. A self-administered questionnaire was developed by the researchers to assess sleep hygiene practices and their impact on the sleep quality and mental health of the study participants. Results The study included 384 adults. There was a significant association between the frequency of sleep problems and poor sleep hygiene practices (p < 0.001). The percentage of subjects who had problems sleeping during the past three months was significantly higher among those having poor sleep hygiene practices (76.5%) than their counterparts (56.1%). The rates of excessive or severe daytime sleepiness were significantly higher among individuals with poor hygiene practices (22.5% versus 11.7% and 5.2% versus 1.2%, p = 0.001). Participants with depression were found to be significantly higher among the poor hygiene group (75.8%) in comparison to those having good hygiene practices (59.6%) (p = 0.001). Conclusions The findings of the present study indicate significant associations between poor sleep hygiene practices and sleep problems, daytime sleepiness, and depression among adult residents of Tabuk city, Saudi Arabia.

Association between poor sleep hygiene practices, sleep deprivation, and their effects on medical students of Karachi: A cross-sectional study

&lt;b&gt;Objectives:&lt;/b&gt; This study was conducted to investigate the poor sleep hygiene practices of medical students, causing sleep deprivation, and any negative effects on physical and cognitive health of the adult population in Karachi.&lt;br /&gt; &lt;b&gt;Participant:&lt;/b&gt; The participant for this study were the medical students enrolled in six medical colleges in Karachi during 2021-2022.&lt;br /&gt; &lt;b&gt;Methods&lt;/b&gt;: The data was collected from 200 medical students using questionnaire based survey. Data was analysed using SPSS version 20. t-test and Chi-square (χ2) test was used for the best data analysis. P-value of &amp;lt;0.05 was considered statistically significant in case of comparative analysis.&lt;br /&gt; &lt;b&gt;Results:&lt;/b&gt; The majority students did not follow sleep hygiene protocols. Concerning the psychological and cognitive effects of poor sleep hygiene practices, more than 76% participants reported feeling sleep deprived, and experienced physical symptoms.&lt;br /&gt; &lt;b&gt;Conclusion:&lt;/b&gt; Our findings support the use of sleep-hygiene awareness as a prevention strategy to improve university students’ sleep practices, preventing sleep deprivation.

Sleep ecology, objective sleep characteristics and behavior problems in preschoolers referred to child protection services: An exploratory study

BackgroundExposure to environmental risk factors increases the negative impact maltreatment has on children's development. Sleep ecology (i.e., sleep hygiene and home sleeping conditions) can be one of these factors. Poor sleep hygiene and suboptimal home sleeping conditions can alter sleep characteristics, which in turn, may lead to behavior problems (BPs), highly prevalent in maltreated preschoolers. ObjectivesDescribe sleep ecology in maltreated preschoolers and explore associations between their sleep ecology, objective sleep characteristics and BPs. MethodParents (n = 22) completed the Children's Sleep Hygiene Scale (CSHS), and a sleep environment questionnaire to document sleep ecology. Children wore an actigraph to record objective sleep characteristics. Parents completed the Behavioral Assessment Scale for Children (BASC-2) to assess children's BPs. Descriptive and correlational analyses were performed. ResultsMost of the parents (90.5 %) reported adequate sleep hygiene. However, 20 parents (95.2 %) reported suboptimal home sleeping conditions. Better physiological and overall sleep hygiene were related to earlier sleep onset. Better emotional sleep hygiene was associated with shorter nighttime awakenings and better sleep efficiency. Later sleep onset was associated with lower anxiety, and longer 24-hour sleep duration with higher somatization. Better physiological sleep hygiene was associated with less depression, and better emotional sleep hygiene with less hyperactivity. ConclusionThis study showed that sleep hygiene could be associated with maltreated preschoolers' sleep characteristics and BPs, and that their home sleeping conditions may be of concern. Associations between sleep ecology, objective sleep characteristics and BPs deserve to be better understood, and further explored.

Effectiveness of sleep hygiene strategies on sleep quality and level of stress among adolescents

Adolescents are developmentally vulnerable to sleep problems due to their transitional stage. According to the literature, recent lifestyle changes and poor sleep hygiene have increased the prevalence of sleep disorders. A quantitative approach with a pre-test and post-test control group design is used to assess the effectiveness of sleep hygiene strategies on sleep quality and the level of stress among adolescents. Sixty-four adolescents (51% male) in grade 9 are recruited using a probability-computerized simple random sampling technique and divided into experimental and control groups. The validity and reliability of the tool are established using Cronbach's alpha test. The experimental group received an online intervention on sleep hygiene strategies for 5 days, including Surya Namaskar and deep breathing exercises, while the control group received standard interventions per institute policy. The data is gathered using an online structured questionnaire that includes demographic variables, the sleep quality scale, and a stress scale at baseline (T0), immediately following the intervention (T1), and at the 1-week follow-up (T2). Both groups have kept an online sleep hygiene diary for the last 2 weeks. The findings showed that post-intervention sleep quality (T1 and T2) and stress levels (T2) are significantly (P &amp;lt; 0.05) higher than baseline (T0) levels in the experimental group. The result demonstrates that participants in the experimental group adhered to the recommendations made in the sleep hygiene diary. Hence, it was concluded that early detection of poor sleep hygiene and stress in adolescents is required for timely intervention. The implementation of sleep hygiene strategies is a novel approach to addressing a prevalent problem and can help motivate adolescents to adopt healthy sleeping habits.

Approach to a sleepy child: Diagnosis and treatment of excessive daytime sleepiness in children and adolescents

The aim of this review is to give updated information to pediatric neurologists on the correct diagnostic approach and treatment of excessive daytime sleepiness (EDS) in children and adolescents. Due to the change in the society habits, EDS is becoming an emerging problem for the health system. At the present there are few articles specifically devoted to the evaluation of EDS. EDS is often reported in several manuscripts as a side effect of other sleep disorders (obstructive sleep apnea, circadian disorders, etc.) or of the use of drugs or of the substance abuse or as a consequence of bad sleep habits and poor sleep hygiene. EDS, especially in children, may manifest with paradoxical symptoms like hyperactivity, inattention, and impulsiveness. However, common sign of EDS in children are the propensity to sleep longer than usual, the difficulty waking up in the morning, and falling asleep frequently during the day in monotonous situation. The diagnosis should include subjective (sleep diaries, questionnaires) and objective (polysomnography, multiple sleep latency test, etc.) instruments to avoid misdiagnosis. Narcolepsy is the most studied central disorder of hypersomnolence, and it is a predominantly pediatric disease with a peak age of onset in prepuberty but the diagnosis is often delayed especially in mild forms. The early and correct treatment of narcolepsy and of other form of EDS is extremely important since late and inappropriate treatments can affect the psychosocial development of the children and adolescents.

Feasibility and acceptability of a personalised script-elicitation method for improving evening sleep hygiene habits

ABSTRACT Background Attempts to improve evening sleep hygiene have overlooked that sleep preparation behaviours are often undertaken automatically with little awareness; that is, habitually. This mixed-methods study assessed aspects of the feasibility and acceptability of a novel behavioural intervention procedure (‘script elicitation’), which encourages reflection on and reorganisation of the content and sequencing of habitual evening pre-sleep routines. Methods The study was advertised via social media, and circular lists at a UK university. Twenty-four UK-based adults, reporting <6 h/night sleep, were recruited. At baseline, they completed sleep hygiene and quality measures, then participated in an online, one-to-one script elicitation interview. This involved the interviewer working with the participant to generate a fine-grained description of the content, organisation and variability of their typical pre-sleep routine, and plan a more sleep-conducive alternative routine to follow over the next week. One week later, participants completed sleep quality and hygiene measures, and a semi-structured interview about the intervention. Feasibility was assessed using quantitative data on response rates and attrition, and acceptability via sleep hygiene and quality scores, and qualitative data on intervention experiences. Results All criteria were met. The target response rate was exceeded, none of the 24 participants dropped out, and sleep hygiene and quality scores either improved or remained stable. In interviews, all participants reported finding script elicitation useful. Script elicitation raised participants’ awareness of habitual sleep hygiene routines, which gave many a newfound sense of autonomy over changing their sleep hygiene habits. While the habitual nature of existing routines obstructed change for some participants, most reported successfully changing aspects of their routine, and achieving behaviour, sleep and wellbeing improvements. Discussion Script elicitation is a promising and acceptable method for tackling poor evening sleep hygiene habits. A more rigorous trial is warranted.

Assessment of Sleep Quality and Sleep Hygiene among Nursing officers during COVID pandemic in a Tertiary Care Hospital in a Southern District of Karnataka, India

Introduction: Nursing officers are one of the susceptible groups prone to have sleep disturbances, which maynot only influence their own health but also affect the nursing quality and treatment process. During COVIDPandemic, because of high work demand, nurses were made to run more shifts than regular days which can bequite stressful for them. Our study was conducted to assess the sleep quality and sleep hygiene among Nursingofficers during COVID pandemic andto determine the factors influencing the Sleep quality and Sleep HygieneMethods: A cross sectional study was conducted from September 2021- October 2021 among nursing officersof Kodagu district hospital attached to Kodagu Institute of Medical sciences. Pittsburgh Sleep Quality Indexquestionnaire was used to assess the sleep quality, Epworth Sleepiness Scale was used to determine the presenceof tendency of daytime sleepiness and Sleep hygiene index was used to assess the sleep hygiene among therespondents.Results: Poor sleep quality was high(70.4%) among nursing officers. A significant association (p&lt;0.05) of poorsleep quality was found with 31-40 years age group, nuclear family, less than 10 years of work experience and&gt;15 nights shifts per month when logistic regression was applied. Poor sleep quality was high among the nursingofficers who were practicing poor sleep hygiene (79.16 %).The assessment of daytime sleepiness showed thatmajority of the nursing officers (94%) were unlikely to be abnormally sleepy.Conclusion: The prevalence of poor sleep quality was high among nurses which was done during COVIDpandemic. Poor sleep quality was associated age, type of family, years of work experience and nights shifts.Recruitment of adequate number of nursing staff and scrupulously planned night shifts are needed to improvethe sleep health and well being of nurses which sequentially will result in better and efficient patient care.