Pittsburgh Sleep Quality Index Questionnaire Research Articles

The effects of melatonin and magnesium in a novel supplement delivery system on sleep scores, body composition and metabolism in otherwise healthy individuals with sleep disturbances.

The purpose of this study was to investigate the effects of a novel dietary supplement, including melatonin and magnesium, delivered via coffee pods on sleep quality, resting metabolic rate (RMR), and body composition in individuals with poor sleep quality disturbances. Using a double-blinded, randomized, crossover trial, we recruited 35 participants to a 4-week intervention with both supplements (1.9 mg melatonin + 200 mg elemental magnesium before sleep) and placebo conditions, considering a 7d washout period between treatments. The Pittsburgh Sleep Quality Index (PSQI) questionnaire was applied, RMR (kcal) was measured using indirect calorimetry (canopy ventilated open-circuit system) and body composition was assessed using dual-energy X-ray absorptiometry. Decreases in PSQI and anger - hostility scores, as well as in energy intake and fat mass, were observed (p < 0.05) for both conditions, from baseline to the end of each 4-week intervention. Differences between conditions were also observed for these parameters along with energy spent in activity, number of sedentary breaks, sleep efficiency, latency time, time in bed, total sleep time, awakening time, and movement index (p < 0.05) favouring the supplement condition. However, the final PSQI questionnaire scores still indicated poor sleep quality on average (PSQI > 5), in both conditions, with no changes regarding RMR. A melatonin-magnesium supplement, in a coffee pod format, showed improvements in sleep quality in otherwise healthy individuals with sleep disturbances, however PSQI questionnaire scores still indicated poor quality on average (PSQI > 5).

The Relationship Between Sleep Quality, Sleep Duration, Social Jet Lag and Obesity in Adolescents.

The frequency of obesity and poor sleep quality among adolescents is increasing and causes many chronic problems. The objective was to investigate the correlation between body mass index (BMI), sleep quality, sleep duration and social jet lag (SJL) among adolescents. This study is cross-sectional. A cohort of 416 adolescents, ranging in age from 12 to 18 participated in the study. Adolescents were divided into three groups according to BMI SDS: adolescents with normal weight, adolescents with overweight and adolescents with obesity. The Pittsburgh Sleep Quality Index (PSQI) questionnaire was used to determine the sleep quality of the adolescents. The calculation of SJL and sleep-corrected social jet lag (SJLsc) was performed. The mean age of the adolescents was 15.0 ± 2.9 years.There were 222 males (53.4%). SJL and PSQI scores were significantly higher in the adolescents with obesity compared to the adolescents with normal weight and overweight (p < 0.001). An analysis of the relationship between the PSQI and BMI SDS revealed a correlation that was statistically significant (r = 0.667; p < 0.001). Adolescents with obesity reveal poorer sleep quality and a longer duration of SJL compared to adolescents with normal-weight. Moreover, increased SJL was linked to an increase in BMI. Maintaining good sleep quality and less exposure to SJL may help reduce the risk of obesity.

A resting-state EEG dataset for sleep deprivation

To investigate the impact of sleep deprivation (SD) on mood, alertness, and resting-state electroencephalogram (EEG), we present an eyes-open resting-state EEG dataset. The dataset comprises EEG recordings and cognitive data from 71 participants undergoing two testing sessions: one involving SD and the other normal sleep. In each session, participants engaged in eyes-open resting-state EEG. The Psychomotor Vigilance Task (PVT) was employed for alertness measurement. Emotional and sleepiness were measured using Positive and Negative Affect Scale (PANAS) and Stanford Sleepiness Scale (SSS). Additionally, to examine the influence of individual sleep quality and traits on SD, Pittsburgh Sleep Quality Index (PSQI) and Buss-Perry Aggression Questionnaire (BPAQ) were utilized. This dataset’s sharing may contribute to open EEG measurements in the field of SD.

Spectrum of sleep-disordered breathing and quality of sleep in adolescent and adult patients with spinal muscular atrophy.

Sleep-disordered breathing is common among children with spinal muscular atrophy, but has been hardly studied among adult subjects. Little is known about sleep quality in spinal muscular atrophy. The aims of this study were to evaluate occurrence and characteristics of sleep-disordered breathing and subjective sleep quality among adolescent and adult patients with spinal muscular atrophy type 2 or 3. Twenty patients aged 33.9 ± 15.2 years were studied. They underwent nocturnal cardiorespiratory monitoring, lung and muscular function evaluation, and were administered the Pittsburgh Sleep Quality Index questionnaire. Nineteen patients showed sleep-disordered breathing, with obstructive events in seven subjects and non-obstructive events in the remaining 12. In the latter group, 10 patients showed pseudo-obstructive hypopneas. Patients with non-obstructive sleep-disordered breathing were younger (p = 0.042), had a lower body mass index (p = 0.0001), were more often affected by spinal muscular atrophy type 2 (p = 0.001), and showed worse impairment of respiratory function than patients with obstructive sleep-disordered breathing. Ten patients were classified as poor sleepers and 10 patients good sleepers. In the whole sample, sniff nasal inspiratory pressure proved to be the only independent predictor of sleep quality (p = 0.009). In conclusion, sleep-disordered breathing is common even among adult patients with spinal muscular atrophy type 2 and 3, and may show either obstructive or different types on non-obstructive features. A worse respiratory muscle function is associated to non-obstructive sleep-disordered breathing and poorer sleep quality. Sleep quality should receive greater attention especially in patients with spinal muscular atrophy type 2, who have a poorer respiratory muscle function, as it could affect their quality of life.

0374 Dimensions of Sleep Health and Mood Disorders in Middle Eastern/North African Women

Abstract Introduction Insomnia symptoms are a common sleep disturbance during midlife. However, emerging evidence suggests that midlife women also experience increased risk of obstructive sleep apnea and short sleep duration. Cohorts of women in midlife have mostly included white women, despite suspected sleep health disparities among women from underrepresented racial and ethnic backgrounds. To address this gap, we conducted a pilot study that examined sleep health among women from Middle Eastern/North African (MENA) ancestry. Methods This pilot study enrolled 77 women aged 40-60y from MENA ancestry, recruited mostly from Michigan. Women provided demographic, lifestyle, sleep and health information through interviews with structured and validated questionnaires, including the Pittsburgh Sleep Quality Index (PSQI) and Patient Health Questionnaire (PHQ-9). Risk for obstructive sleep apnea (OSA) was evaluated using the STOP questionnaire+BMI and a subset of the women was tested with Watch-PAT, a one-night home sleep apnea testing device (OSA diagnosis, apnea-hypopnea index pAHI3%&amp;gt;5/h). The menopause rating scale was used to collect data on psychological and physiological symptoms. Results Mean age of women was 48y±5 years and mean BMI was 27.6±5 kg/cm2. Anxiety, irritability, and depression symptoms were identified in 33%, 25% and 31% of women. Half reported trouble falling asleep within 30 minutes, and 73% experienced nocturnal and early morning awakenings three or more times per week. Most women (75%) were aware of adequate sleep recommendations, but 54% reported short sleep duration, &amp;lt; 6 hours, and 30% reported &amp;lt; 5 hours of sleep per night. A STOP+BMI score ≥3 was observed in 20% of women. Twenty women were tested for OSA and 75% had it (mean pAHI3%=12.6/h). Moderate and severe OSA was apparent among 20% and 10% of the 20 women. Concurrent OSA and insomnia symptoms were observed among 40% of women. The odds ratio of insomnia were 9-fold and 3-fold for women with depression and anxiety, respectively. Conclusion We found a high burden of poor sleep and sleep disorders among midlife women from MENA ancestry. Moreover, poor sleep was associated with symptoms of depression and anxiety, raising the possibility that efforts to improve sleep health could benefit the mental health of these women as well. Support (if any)

Sleep quality and sedentary behavior among cancer survivors: is there a possible link?

Purpose: Disrupted sleep patterns can be frequent in cancer survivors not only during treatment but also during survival. This study aimed to analyze the possible link between sleep quality and sedentary behavior among cancer patients.&#x0D; Methods: Demographic and clinical information was obtained through an assessment form. Sleep quality and physical inactivity level were assessed by the Pittsburgh Sleep Quality Index (PSQI) and Sedentary Behavior Questionnaire (SBQ), respectively. This cross-sectional study was conducted between April and June 2023 in the Medical Oncology unit of Izmir Bakırçay University Faculty of Medicine.&#x0D; Results: This study was completed with a total of 80 patients with most of the types of cancer being breast (n=55). The mean PSQI score was 7.68±4.02. SBQ scores were 8.16±3.90, and 6.85±3.86 hours on weekdays and weekends, respectively. No significant association was observed between PSQI and SBQ total scores (p&gt;.05). Age was correlated with sleep disturbances (r=-.24, p=0.03), daytime dysfunction (r=-.34, p=0.002), and first item of SBQ (watching TV) both on weekdays (r=.35, p=0.001) and weekends (r=.38, p=0.001), respectively.&#x0D; Conclusion: This study showed that there was no significant relationship between sedentary behavior and sleep quality among cancer patients, however, the remarkable rate of poor sleep quality was evident in this sample. However, it might be reasonable to suggest that the increased screen time especially for older cancer patients due to significant associations between screen time and age, should be well managed while sleep hygiene and daytime dysfunction should be considered further among younger cancer survivors.

Healthier Dietary Patterns Are Associated with Better Sleep Quality among Shanghai Suburban Adults: A Cross-Sectional Study.

More is to be explored between dietary patterns and sleep quality in the Chinese adult population. A cross-sectional study including 7987 Shanghai suburban adults aged 20-74 years was conducted. Dietary information was obtained using a validated food frequency questionnaire. Adherence to a priori dietary patterns, such as the Chinese Healthy Eating Index (CHEI), Dietary Approaches to Stop Hypertension (DASH) diet and Mediterranean diet (MD), was assessed. Sleep quality was assessed from self-reported responses to the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Logistic regression models adjusting for confounders were employed to examine the associations. The overall prevalence of poor sleep (PSQI score ≥ 5) was 28.46%. Factor analysis demonstrated four a posteriori dietary patterns. Participants with a higher CHEI (ORQ4 vs. Q1: 0.81, 95% CI: 0.70-0.95), DASH (ORQ4 vs. Q1: 0.70, 95% CI: 0.60-0.82) or MD (ORQ4 vs. Q1: 0.75, 95% CI: 0.64-0.87) had a lower poor sleep prevalence, while participants with a higher "Beverages" score had a higher poor sleep prevalence (ORQ4 vs. Q1: 1.18, 95% CI: 1.02-1.27). In Shanghai suburban adults, healthier dietary patterns and lower consumption of beverages were associated with better sleep quality.

The association of self-reported sleep and circadian measures with glycemic control and diabetes complications among young adults with type 2 diabetes.

We aim to examine the association of sleep duration, sleep quality, late chronotype, and circadian misalignment with glycemic control and risk of complications in young adults with youth-onset type 2 diabetes followed in the Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) study. Self-reported sleep duration, quality, timing, and circadian misalignment were assessed via a modified Pittsburgh Sleep Quality Index (PSQI) questionnaire, and chronotype was assessed via the Morningness-Eveningness Questionnaire (MEQ). We examined diabetes complications including loss of glycemic control (defined as hemoglobin A1c ≥8%), hypertension, dyslipidemia, albuminuria, and diabetic peripheral neuropathy. Multivariable logistic regression models were constructed to assess associations between sleep and circadian measures with outcomes of interest, such as loss of glycemic control and diabetes complications. A total of 421 participants (34.2% male), mean age 23.6 ± 2.5 yr, mean body mass index (BMI) of 36.1 ± 8.3 kg/m2, and mean diabetes duration of 10.0 ± 1.5 yr were evaluated. Self-reported short sleep duration, daytime sleepiness, and sleep quality were not associated with loss of glycemic control or diabetes complications. Late self-reported bedtime (after midnight) on work/school nights, rather than self-expressed chronotype or circadian misalignment, was independently associated with loss of glycemic control. An association was seen between late bedtimes and albuminuria but was attenuated after adjusting for depression. In conclusion, late bedtime on work/school days, rather than short sleep duration, daytime sleepiness, or poor sleep quality, was independently associated with loss of glycemic control in this longitudinal cohort of young adults with youth-onset type 2 diabetes.NEW & NOTEWORTHY The prevalence of type 2 diabetes in youth is increasing at an alarming rate. Identifying potentially modifiable factors modulating glycemic control is critically important to reduce micro and macrovascular complications. In a large cohort of youth-onset type 2 diabetes, self-reported late bedtime on work/school days was independently associated with loss of glycemic control in this longitudinal cohort of young adults with youth-onset type 2 diabetes.

IJCM_397A: A Cross-Sectional Study on Dietary Intake In Relation To Sleep Quality Among Undergraduate Engineering Students

Background: Sleep is an important resting state and essential part of life that could have effect on many aspects of life. Life style factors such as physical activity and consumption of certain foods have effect on quality and quantity of sleep. In this context, there were very few studies done in comparing dietary intake &amp; sleep pattern. So, the present study is planned to be conducted among undergraduate engineering students. Objective: 1. To assess the dietary intake and sleep patterns among undergraduate students. 2. To determine the relationship between dietary intake and sleep quality. Methodology: A Cross-sectional analytical study was done among the undergraduate students of a government engineering college in November 2023. Students (n=200) were randomly selected and data was collected using pre-tested, semi structured questionnaire to assess the dietary intake and Pittsburgh sleep quality index questionnaire (PSQI) to assess sleep quality. Results: The mean age of the study population was 20.2 ± 1.6 years and 54.5% were female. Sleep quality was fairly good among 58%, good in 29%,fairly bad in 11.5%,and very bad in 1.5%. Participants skipping breakfast, lunch and dinner more than three times a week was reported to be 21%,10%, and 16.5% respectively. Conclusion: The quality and quantity of sleep can be influenced by the eating habits. Specific awareness regarding sleep and food intake should be created among the students, as in the long run NCD s can be prevented and to form a healthy nation.

Mallampati score in patients with temporomandibular joint disorders: A pilot case-control study.

Temporomandibular joint disorder (TMD) is defined as any functional abnormalities in different parts of the face and neck. The Mallampati index is an indicator for determining the extent of airway blockage. No study has examined the relationship between TMD and Mallampati score. Most studies have investigated the relationship between temporomandibular joint problems and sleep problems. This pilot study aimed to assess the Mallampati index scores among TMD patients. Eighty-four people were divided into the case (based on RDC/TMD) and control groups. Demographic information, neck circumference, tongue size, Mallampati score, and other variables were asked of people. STOP-BANG and Pittsburgh Sleep Quality Index (PSQI) were also completed for each patient. Data were analyzed with Chi-square, Fisher's exact, and Mann-Whitney tests. The Mallampati and PSQI questionnaire scores in the case group were significantly higher than those in the control group (p < 0.001). The results showed that larger tongue and neck circumference patients had a higher Mallampati score. Pearson correlation coefficient showed that the Mallampati score had a direct and significant relationship with body mass index and PSQI (p < 0.001). The results of this study show that Mallampati scores were significantly higher among patients with TMD than among healthy individuals.

Mental Health and Psychosocial Factors that Influence Sleep Quality among Indonesian Farmers

Background: Poor sleep quality is usually experienced by someone with quite heavy activities such as farmers who have to get up early to go to the fields, plants and harvest rice. This study aims to analyze mental health and psychosocial factors that influence the sleep quality of Indonesian farmers.&#x0D;  &#x0D; Methods: This study uses analytic correlation with a cross-sectional approach. The sample of this research is 84 farmers from 107 populations. Sampling using the Simple Random Sampling technique. Retrieval of data using a questionnaire. The variables are age, gender, health status, medication, lifestyle, stress level and environment. Sleep quality data were obtained using the Pittsburgh Sleep Quality Index (PSQI) questionnaire and data analysis using the chi-square statistical test .&#x0D;  &#x0D; Result: The results showed that in the variables of health status (p = 0.000), environment ( p= 0.000), age (p= 0.002), drugs use (p = 0.006), stress level (p= 0.028), then gender (p= 0.8) and lifestyle (p= 0.063). So, it can be concluded that quality has the most influence, namely health status, environment, medicines, and stress levels. There is no relationship between gender and lifestyle with sleep quality.&#x0D;  &#x0D; Conclusion:Farmers are expected to be able to control psychosocial factors that affect sleep quality, for health workers it is expected to be more effective in approaching health education counseling in the local area regarding maintaining sleep needs and psychosocial factors that can affect farmers' sleep quality.

Evaluation of psychometric properties of sleep quality questionnaire among medical students of Guilan University of Medical Sciences

BackgroundSince evaluating sleep quality among students is of great importance and is one of the challenges facing the health field regarding this group, we were determined to conduct this study to evaluate the psychometric properties of the Sleep Quality Questionnaire (SQQ) among the medical students at the Guilan University of Medical Sciences.MethodsThis research was conducted as a cross-sectional study. In the procedure, a random group of medical students at Guilan University of Medical Sciences were provided with questionnaires and the study’s pre-prepared checklist and were asked to answer them accurately. The questionnaires used in this study include the Sleep Quality Questionnaire (SQQ), and the Pittsburgh Sleep Quality Index (PSQI). After collecting the entries, all the data were subjected to a statistical analysis using the SPSS software.ResultsIn this study, 249 medical students with an average age of 23.88 ± 2.46 were evaluated, of which 140 (56.2%) were female and the rest were male. According to the results, the average sleep quality for SQQ was 19.31 ± 8.06, and the Pittsburgh Sleep Quality Index (PSQI) was 7.95 ± 3.76. Based on the results obtained from the exploratory analysis, it was determined that no high overlap exists between the two evaluated factors in the sleep quality questionnaires, confirming their divergent validity. In evaluating the convergent validity, the correlation between the SQQ and PSQI questionnaires was reported as 0.642, which was significant (p < 0.001). Cronbach’s alpha for the SQQ questionnaire was equivalent to 0.882, which is verified since the minimum value is 0.70. Also, utilizing the test-retest method, the reliability was found to be 0.74, which is acceptable according to the minimum value of 0.70. SQQ scores had a direct and meaningful relationship with age (r = 0.185, p = 0.003). Based on the pairwise comparison, there was a significant difference in SQQ scores between the students in different stages and the duration of sleep.ConclusionThe current study’s findings indicate that the SQQ questionnaire possesses adequate validity and reliability, which could be utilized to evaluate sleep quality in domestic studies.

Hubungan Tingkat Kecemasan dengan Kualitas Tidur dalam Menyusun Skripsi pada Mahasiswa Tingkat Akhir Prodi Sarjana Keperawatan Universitas Muhammadiyah Sukabumi

Hubungan Tingkat Kecemasan dengan Kualitas Tidur dalam Menyusun Skripsi pada Mahasiswa Tingkat Akhir Prodi Sarjana Keperawatan Universitas Muhammadiyah Sukabumi

Association between sleep quality with overweight/obesity and other factors among adults in indonesia post-COVID-19 pandemic

The prevalence of adult overnutrition in Indonesia increased from 26,3% to 35,4% from 2013 to 2018. Poor sleep quality is one of the factors of overnutrition. Poor sleep quality increases appetite and decreases energy expenditure, which leads to weight gain. Sleep quality has also worsened during the COVID-19 pandemic. This study aimed to examine the relationship between sleep quality and the incidence of overweight/obesity in adults post-COVID-19. The design of this study was cross-sectional, and an online survey was used. The questionnaire included the current weight, height, and sleep quality using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Data were collected from June to August 2022 in Indonesia, using convenience sampling. A Total of 148 participants completed the questionnaire. The association was analyzed using the Chi-square software. This study found 58,8% of the subjects had poor sleep and 23,6% were overweight/obese. Age, sex, education level, occupation, and marital status were associated with sleep quality. A higher proportion of poor sleep quality was found among overweight/overnutrition participants, but no association was found. In conclusion, no association was found between sleep quality and overweight or obesity. Most subjects had poor sleep quality; thus, further intervention is needed to improve sleep quality.

Pregnancy Concerns as Predictors of Sleep Quality in Primigravid Women: A Cross-Sectional Study.

Introduction Poor sleep quality may be a risk factor for adverse pregnancy outcomes. Identifying the predictors of sleep disorders can help design effective interventions. The present study aimed to evaluate the impact of pregnancy concerns on the sleep quality of primigravid women. Methods This cross-sectional study was conducted on 220 primigravid women referred to health centers in Hamadan, Iran. In addition to completing the demographic characteristics questionnaire, the Parkinson's Disease Questionnaire (PDQ) questionnaire was completed to determine the level of pregnancy concerns, and the Pittsburgh Sleep Quality Index (PSQI) questionnaire was completed to determine the quality of sleep by pregnant women. Data were analyzed using descriptive statistics, the Pearson correlation coefficient, independent t-test, and univariate and multivariate logistic regression models with a backward method at a 95% confidence level. Results Pregnant women's total PSQI score was 13.8 ± 3.08, and with a PSQI ≥ 5 as a cut-off point, 76.3% of the study's participants had poor sleep quality. There was a significant direct correlation between the total score of PDQ and its subscales with the total PSQI score (P < 0.05). The adjusted regression logistic model showed a significant relationship between the PDQ scores, women'seducational level (adjusted odds ratio (AOR) 1.19; confidence interval (CI) 95%: 0.19-2.18), and their spouse's educational level (AOR 1.03; CI 95%: 0.02-2.03) with sleep quality scores. Conclusion Pregnancy concerns, including concerns about birth and the baby, concerns about physical symptoms and body image, and concerns about emotions and relationships, can reduce the sleep quality of primigravid women. Designing and implementing effective interventions to reduce or modify these common concerns can improve the sleep quality of pregnant women and prevent the adverse effects of poor sleep quality on pregnancy outcomes.

The Mediating Role of Family Functions Between Pregnancy-Related Anxiety and Sleep Quality: A Cross-Sectional Study.

To examine the relationship between pregnancy-related anxiety, family functions, and sleep quality, and to determine whether family functions mediate the relationship between pregnancy-related anxiety and sleep quality. A cross-sectional survey was conducted on pregnant women between April to August in 2022 in the obstetrics outpatient clinic of a tertiary care hospital in the Ningxia Hui Autonomous Region of China. A total of 1014 pregnant women aged 18 years and older were surveyed. They completed questionnaires, including: general demographic characteristics, the Pregnancy-related anxiety scale (PAQ), the Family Adaptation, Partnership, Growth, Affection, and Resolve (APGAR), and the Pittsburgh Sleep Quality Index Questionnaire (PSQI). Model 4 in PROCESS was used to analyze the relationships among pregnancy-related anxiety, family functions, and sleep quality, with family functions as a mediator. Among the 1014 pregnant women, the pregnancy-related anxiety scale score was (21.84 ± 5.64). The total score of the family functions scale was (8.10±2.26), and the overall sleep quality scale score was (7.89±2.99). When participants were grouped according to different socio-demographic characteristics, the study showed that all variables differed from anxiety, family functions or sleep quality, except for age, pre-pregnancy BMI and whether or not they had a first birth, which was not associated with anxiety, family functions, or sleep quality (P<0.05). The pregnancy-related anxiety was positively associated with sleep quality (P<0.01), while family functions were negatively associated with sleep quality (P<0.01). In addition, family functions mediate the relationship between pregnancy-related anxiety and sleep quality during pregnancy, on the first and second trimesters, intermediation rate is 9.31% (P<0.05), and on the third trimesters, intermediation rate is 21.38% (P<0.05). Pregnancy- related anxiety is a risk factor for sleep quality, however, family functions are protective factors for sleep quality. Family functions play an intermediary role in sleep quality caused by pregnancy-related anxiety, especially on the third trimesters. This finding may provide a scientific basis for developing intervention strategies to improve the sleep quality of pregnant women.

Eating habits and sleep quality in individuals with type 1 diabetes on continuous glucose monitoring and insulin pump

Background and aimsSleep disorders are bidirectionally linked with eating behaviors and glucose metabolism, which could be clinically relevant in type 1 diabetes (T1D). We investigated the relationship between dietary habits and sleep quality in individuals with T1D on insulin pumps and continuous glucose monitoring (CGM). Methods and resultsIn a cross-sectional study, dietary habits (7-day food diary, EPIC questionnaire) and sleep quality (Pittsburgh Sleep Quality Index questionnaire) were assessed in 59 men and 58 women with T1D, aged 19–79 years, using CGM and insulin pump. Differences in dietary habits and blood glucose after dinner (6 h) between participants differing in sleep quality, sleep duration, and sleep onset latency were evaluated. Bad Sleepers (n = 81) were twice as prevalent as Good Sleepers (n = 36) and had a significantly higher intake of fat than Good Sleepers (dinner: 30.7 ± 10.7 vs. 24.0 ± 10.5 g, p = 0.004). Short sleepers had a significantly higher usual intake (g/1000 kcal) of coffee and tea (90.4 ± 71.7 vs. 62.0 ± 35.6), alcoholic (47.8 ± 51.1 vs. 28.9 ± 31.5) and carbonated beverages (21.8 ± 38.1 vs. 9.3 ± 17.2) (p < 0.05 for all) than Long Sleepers. Long Sleep Onset Latency was associated with a significantly higher fat intake at dinner (41.8 ± 7.4 vs. 38.1 ± 9.1 % total energy, p = 0.029) than Short Sleep Onset Latency. No significant differences in post-dinner blood glucose levels were detected between participants with good or bad sleep quality. ConclusionSleep disruption is common in T1D and is associated with unhealthy dietary choices, especially at dinner, independently of post-dinner blood glucose control.

A cross-sectional observational study for ethno-geographical disparities in sleep quality, brain morphometry and cognition (a SOLACE study) in Indians residing in India, and South Asians and Europeans residing in the UK - a study protocol.

As individuals age, their sleep patterns change, and sleep disturbances can increase the risk of dementia. Poor sleep quality can be a risk factor for mild cognitive impairment (MCI) and dementia. Epidemiological studies show a connection between sleep quality and cognitive changes, with brain imaging revealing grey matter volume reduction and amyloid beta accumulation in Alzheimer's disease. However, most research has focused on Europeans, with little attention to other ethnic groups. This is a cross sectional study comparing effects across countries and ethnicities. Group 1 (n = 193) will be Indians residing in India (new participant recruitment), Group 2 will be South Asians residing in UK and group 3 will be Europeans residing in the UK. For group 2 and 3 (n = 193), data already collected by UK-based Southall and Brent REvisited (SABRE) tri-ethnic study will be used. For group 1, Pittsburgh Sleep Quality Index questionnaire (PSQI) will be used for assessment of sleep quality, Indian Council of Medical Research (Neurocognitive ToolBox) (ICMR-NCTB) for cognition testing and a 3 T MRI cerebral scan for brain morphometry. The data will be compared to sleep, cognitive function and brain MRI parameters from SABRE. Racial and ethnic differences can impact the relationships of cognitive function, sleep quality and brain structure in older adults. Earlier studies have highlighted higher prevalence of poor sleep among black individuals compared to white individuals. Genetic or epigenetic mechanisms may contribute to these variations. Socio-cultural and environmental factors, such as neighbourhood, migration, lifestyle, stress and perceived discrimination may influence sleep patterns. The aim of the study is to examine the ethnogeographic variations in sleep quality, cognitive performance and brain morphometry among Indians living in India, and South Asians and Europeans residing in the UK.

Comparison of vergence mechanisms between university students with good and poor sleep quality.

To compare the vergence mechanisms between good and poor sleepers in university students. A total of 64 university students were recruited in this study. The validated Malay version of Pittsburgh Sleep Quality Index questionnaire (PSQI-M) was used to measure the participants' sleep quality over the past month. Participants were categorized as good sleepers (n=32) and poor sleepers (n=32) based on the PSQI-M scores. Heterophoria and fusional vergences were measured at distance and near. Mann-Whitney U test was used to compare heterophoria, negative fusional vergence (NFV), and positive fusional vergence (PFV) at distance and near between good and poor sleepers. Spearman correlation analysis was used to study the relationship between PSQI-M score and PFV at distance. Both distance and near heterophorias were not significantly different between good and poor sleepers (P>0.05). There was a difference in distance PFV (P<0.05) between good and poor sleepers, but not in distance NFV, near NFV, and near PFV (P>0.05). Distance PFV was negatively correlated with PSQI-M score (rs=-0.33, P<0.05). University students with poor sleep quality demonstrates a reduced ability to maintain fusion with increasing convergence demand at distance. Sleep quality assessment during binocular vision examination in university students is recommended.

Assessment of Sleep Quality among Nursing Students on Clinical Posting in a Tertiary Health Facility in North-Western Nigeria

Abstract Context: The sleep quality of nursing students needs to be assessed in the context of their living conditions in order to know the best way to improve any abnormality noted. Aim: To assess the quality of sleep of nursing students and determine its relationship with their conditions of living among other factors. Methods and Material: A cross-sectional descriptive study involving nursing students on postings in a tertiary health facility. The socio-demographic data were collected with the aid of a structured questionnaire. The sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS) questionnaires. Statistical Analysis Used: Data were analyzed using the Statistical Product for Service Solution (SPSS) for Windows version 22. Chi-square (χ2) or Fisher’s exact tests were used to determine the association between sleep quality and various parameters. Results: The total participants were 255 with a mean age of 21.5 ± 3.4 yrs and a male to female ratio of 0.4:1. The mean sleep latency period and mean sleep duration were 21.5 ± 14.0 minutes and 6.4 ± 1.4 hours respectively. The mean ESS was 9.8 ± 3.5 indicating an increased tendency for daytime sleepiness. The mean PSQI was 6.2 ± 3.0. Seventy-three percent of the participants were poor sleepers (had scores of ≥5); 7.1% of them had a level of severity needing medical help. The quality of sleep and daytime sleepiness were significantly associated with the number of roommates and source of funding respectively. Conclusion: Most of the participants have poor sleep quality which is significantly associated with the number of roommates and source of funding.