Pittsburgh Sleep Quality Index Questionnaire Research Articles

The effect of sleep on swimming performance

There has been extensive research on sleep, including the stages, deprivation, and importance. The benefits of sleep have been known for a long period of time and the recommended 8h is widely accepted. There is limited research into the importance of sleep for athletes, especially swimmers. There is also very little research into university athletes. It is important to understand the effect on student-athletes as their lifestyle, diet and general day-to-day life differ from elite athletes. The aim of the study was to investigate if quality of sleep affects swimming performance in university level swimmers. Ethical approval was given by the Northumbria University Faculty of Health and Life Science Ethics Committee. 11 student-athletes from the Northumbria University swimming team were recruited for the study. The sample size was determined by the size of the swimming team and those who volunteered. Participants completed a 50 and 200 m freestyle timed swim in the morning and the Pittsburgh Sleep Quality Index (PSQI) questionnaire. The times were compared between morning and evening, and between those deemed to have good quality sleep compared to poor quality sleep. The data was tested for normality and analysed using a paired t-test and Wilcoxon, depending on the normality of the data. For the 200 m swim, performance was quicker in the evening (P = 0.013). Eight out of the 11 swimmers (66%) were deemed to have poor quality sleep, one of those having a sleeping disorder. These results are in line with another study looking at the time of day on swimming performance (Nunes, et al. [2021]. Chronobiology International., 38, 1), where a significant difference was found in performance in a 400 m swim (between morning and evening), and no difference in a 50 m swim. As 66% of participants were found to have poor quality sleep, this highlights the importance of sleep and understanding the effects of sleep deprivation. The findings of the study reveal that the athletes performed better in the evening (18:00 hrs) compared to the morning (07:00 hrs). This is important when planning competitions and training programs. By understanding that athletes perform better in the evening when they’re more motivated and alert, coaches can plan more sessions in the evening than in the morning. This can also be considered for BUCS events, as the performance standard will be higher later in the day.

THE RELATIONSHIP BETWEEN COFFEE CONSUMPTION AND SLEEP QUALITY WITH THE INCIDENCE OF ACNE VULGARIS

Acne vulgaris, or acne, was a common skin problem that occurred in adolescents and young adults, and had a significant psychological impact, especially on individual self-confidence. The high prevalence of this issue, along with factors such as dietary patterns, sleep habits, and coffee consumption, led to a need for deeper understanding of its relationship with skin conditions. This study aimed to evaluate the association between coffee consumption and sleep quality with the occurrence of acne vulgaris. The research method used a quantitative approach with a survey design and descriptive correlational method in a cross-sectional research approach. The instruments included a coffee consumption questionnaire with a Cronbach’s alpha value of 0.707 and a PSQI (Pittsburgh Sleep Quality Index) questionnaire with a Cronbach’s alpha value of 0.888. The study sample consisted of students from Universitas Pendidikan Indonesia Kampus Sumedang who experienced acne problems, frequently consumed coffee, and had insufficient sleep hours. Data collection was conducted through questionnaires that covered information about coffee consumption patterns and types of coffee consumed, as well as sleep patterns. The research results indicated that there was no significant relationship between coffee consumption and the occurrence of acne vulgaris, with a p-value of 0.106 (>0.05). However, there was a significant association between sleep quality and the occurrence of acne vulgaris, with a p-value less than 0.001. The conclusion from this study was that coffee did not directly impact the growth of acne, but poor sleep quality could directly affect acne occurrence. Further research is expected to explore other factors that may cause acne vulgaris.

Factors that related with sleep disturbance among older nursing home residents with dementia

This study aimed to identify factors that related with sleep disturbance among older people with dementia in nursing homes. This cross-sectional study included 140 participants aged 60 years old and over, who were diagnosed with dementia (according to DSM 5 criteria) from November 2022 through January 2023 in 3 nursing homes in Hanoi, Vietnam. Sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI) questionnaire. The mean (SD) age among participants was 78.23 (8.73) and the female/male ratio was 1.5. The prevalence of poor sleep was 76.4% (n = 107). The poor sleep was significantly associated with depression (p = 0.007). The prevalence of poor sleep quality among the older people in nursing homes is relatively high. Depression is related to poor sleep quality among participants. Therefore, evaluating sleep quality among nursing homes should be performed as a basic clinical practice.

The Relationship Between The Hemodialysis Span and The Stress Level and Sleep Quality of Chronic Kidney Failure Patients In Hemodialysis Room At Tk. III Slamet Riyadi Hospital Surakarta

Hemodialysis will affect stress levels and sleep quality in chronic kidney failure patients. The longer a patient with chronic kidney failure undergoes hemodialysis therapy, the patient's stress level and sleep quality will worsen. The study aimed to analyze the relationship between the term hemodialysis and the stress level and sleep quality of chronic kidney failure patients at Tk.III Slamet Riyadi Hospital, Surakarta. The research adopted a quantitative descriptive analytical design with a cross-sectional approach. The sampling technique used total sampling with 57 respondents. Data collection methods utilized the Depression Anxiety Stress Scale (DASS-42) and Pittsburgh Sleep Quality Index (PSQI) questionnaires. The statistical test operated the gamma test. The results revealed the relationship between the term hemodialysis and stress levels and sleep quality with a p-value of 0.009 and 0.006. It inferred a relationship between the hemodialysis span, stress levels, and sleep quality. The correlation value between variables is 0.431 and 0.410. The longer the hemodialysis, the higher the stress level and the worse the patient's sleep quality (one blank single space line, 9 point font)

Prevalence of sleep disorders in patients with advanced cancer: a cross-sectional study.

Patients with advanced cancer are more susceptible to develop sleep disorders like insomnia, restlessness, hypersomnolence, and sleep apnea due to a series of stressful events and side effects of chemotherapeutic agents. Poor sleep quality is associated with bad cancer outcomes and substandard quality of life. The authors assessed the prevalence of sleep disorders among advanced cancer patients in a tertiary center in Nepal. Patients with stage three and four solid malignancies were enrolled from February 2023 to July 2023 to assess their sleep status. The data were collected using the Pittsburgh Sleep Quality Index (PSQI) questionnaire, analyzed using the Statistical Package for the Social Sciences (SPSS) version 27, and subgroup exploration was done to assess the relationship of poor sleep quality with gender, marital status, malignancy type, and treatment received. An ethical clearance was obtained from the Institutional Review Committee (IRC). The authors evaluated data from 357 patients in the study. Of them, 58.3% were female and 41.7% were male. The mean age of the patients was 51.1 years. Among total cancer patients, 56% had significant sleep disorders. A significant association was observed between the quality of sleep and gender, type of malignancy, and treatment methods (p value <0.05). A majority of the patients demonstrated increased sleep latency, struggling to fall asleep swiftly. More than half of the patients had poor sleep, which has an adverse impact on the prognosis of the disease and quality of life of cancer patients. Therefore, this aspect of cancer management requires special consideration for better quality of life and appropriate end-of-life care.

The relationship between sleep quality and dynamic balance in the elderly

Background: The aging process in older adults will bring comprehensive changes related to the ability of their physiological functions. This condition causes the elderly's sleep patterns to change with various sleep disorders, resulting in poor sleep quality. The decrease in sleep quality in the elderly can affect their quality of life, including balance disorders. This study aimed to determine the relationship between sleep quality and dynamic balance in the elderly. Methods: This research used a cross-sectional study conducted in Nyuh Kuning Traditional Village, Mas, Ubud, Gianyar, in November 2023. The sampling technique used in this study was total sampling with a sample size of 43 people aged 60 years and over. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI) questionnaire, and dynamic balance was calculated using the Time Up and Go Test (TUG Test). Results: The research subjects were dominated by the elderly with poor sleep quality, 30 of whom were elderly (69.8%). Meanwhile, in dynamic balance, most research subjects had variations in dynamic balance and mobility, and the result of the TUG Test (+) was 33 elderly (76.7%). The obtained Sig. (2-tailed) value of the correlation between sleep quality and dynamic balance was 0.000 (&lt;0.05). Sleep quality strongly correlates with dynamic balance, with a correlation coefficient (r) of 0.836, indicating a positive relationship. Conclusion: There was a positive significant relationship between sleep quality and dynamic balance in the elderly.

Effect of Third Molar Surgery on Sleep Health Parameters of Young Adults: An Observational Study.

Background and Objectives: The role of surgical extraction of the third molar in patients' sleep quality remains unclear, although it is one of the most common oral surgical procedures. The aim of this study is to assess the changes in patient-reported sleep health outcomes after third molar surgery and to investigate any associations between sleep parameters and post-extraction pain. Materials and Methods: Young adults without known comorbidities who were in need of mandibular third molar surgical extraction were included. All participants completed a sleep diary, the Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI) and Athens Insomnia Scale (AIS) questionnaires, which were used to assess sleep habits, daytime sleepiness, sleep quality and insomnia severity one week before and after extraction. In addition, a visual analog scale was completed postoperatively to assess the perception of pain. Results: Out of 75 patients who completed the study protocol, 32 (42.7%) were males and 43 (57.3%) were females, with a mean age of 24.01 (±3.43) years. Postoperatively, statistically significant higher scores were observed for PSQI [4.85 (±2.32) before vs. 5.39 (±2.75) after, p = 0.041], AIS [5.56 (±3.23) before vs. 6.91 (±4.06) after, p < 0.001] and average weekly number of nocturnal awakenings [2.01 (±3.72) before vs. 4.19 (±5.20) after, p < 0.001] but not for ESS, average weekly sleep duration and average weekly sleep onset latency. Pain perception was increased in patients who slept worse on almost all seven postoperative days, although this did not reach statistical significance. Conclusions: Third molar surgery impacts sleep quality and insomnia severity in the first week after extraction, while there is no effect on daytime sleepiness. The worsening of subjective sleep symptoms after extraction may be associated with an increased perception of pain.

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

ABSTRACT 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).

Healthy diet habits attenuate the association of poor sleep quality with nonfatal ischemic stroke: A prospective rural cohort

ObjectivesThe combined impact of sleep quality and diet habits on ischemic stroke remains unclear, particularly in rural populations. Therefore, this study aimed to estimate the individual and joint associations of sleep quality and diet habits with nonfatal ischemic stroke among rural adults. MethodsA total of 22 536 participants free of stroke were enrolled from the Henan Rural Cohort. Sleep quality and diet habits were evaluated with the Pittsburgh Sleep Quality Index and food frequency questionnaire, respectively. The ischemic stroke incidence was analyzed using Kaplan-Meier curves. Cox regression and restricted cubic spline were employed to estimate the correlation of sleep quality or diet habits with ischemic stroke. ResultsDuring an average 3.92 y of follow-up, 665 ischemic stroke patients were identified. The adjusted hazard ratio (95% confidence interval) of ischemic stroke risk compared with good sleep quality was 1.276 (1.057–1.542). The hazard ratio (95% confidence interval) of nonfatal ischemic stroke compared with unhealthy diet habits was 0.693 (0.589–0.814). The restricted cubic spline indicated that the risk of ischemic stroke increased with the increase of the Pittsburgh Sleep Quality Index. And the higher the diet quality score, the lower the risk of ischemic stroke. (Ptrend < 0.05). Further analysis indicated that the association of poor sleep quality with ischemic stroke was alleviated by healthy diet habits (P < 0.05). Additionally, a robust correlation remained after excluding individuals with ischemic stroke in the first year. ConclusionsPoor sleep quality was positively associated with nonfatal ischemic stroke among rural adults, and healthy diet habits attenuated this relationship. Developing healthy diet and sleep habits may have potential health implications for preventing ischemic stroke. Trial registrationThe Henan Rural Cohort Study has been registered at the Chinese Clinical Trial Register (registration no. ChiCTR-OOC-15006699). Date of registration: July 6, 2015.

Effects of Heavy Alcohol Use on Nighttime Blood Pressure, Sleep Quality, and Urine Catecholamines

Heavy alcohol drinking habits contribute to the development of hypertension; this is partly due to overactivation of the sympathetic nervous system and the increased release of catecholamines. Recently, heavy alcohol drinking has been linked to poor sleep quality, but the underlying mechanisms remain unclear. We postulated that long-term frequent heavy alcohol use could increase catecholamine levels and cause blood pressure dysregulation at night, altogether influencing sleep quality. Therefore, the purpose of this study is to test the following hypothesis that compared to non-heavy drinkers, heavy drinkers have a higher level of nighttime catecholamines, a higher levels of nighttime blood pressure, and poorer sleep quality. A total of 44 men and postmenopausal women non-smokers, free of major clinical diseases, were included in this study. Heavy drinkers were defined as those having a dried blood spot phosphatidylethanol (PEth, a biomarker to detect heavy alcohol drinking) level ≥ 20 ng/mL. Participants wore an ambulatory blood pressure monitor for 24 hours and catecholamines were measured from urine samples collected in the same 24-hour period. Sleep quality was measured by using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. There were 21 heavy drinkers (mean±SEM for age: 58±1 and BMI: 26.2±0.7 kg/m2) and 23 non-heavy drinkers (age: 58±1 and BMI: 27.5±0.8 kg/m2; P≥0.3 vs. heavy drinkers). Compared to non-heavy drinkers, heavy drinkers had a higher nighttime systolic blood pressure (SBP), higher diastolic blood pressure (DBP), and a lower SBP dipping ratio (heavy drinkers vs. non-heavy drinkers for nighttime SBP: 118±3 vs. 109±2 mmHg, P=0.02; nighttime DBP: 70±2 vs. 65±2 mmHg, P=0.04; and SBP dipping ratio: 10.6±1.4% vs. 14.5±1.6%, P=0.04). No differences were found in nighttime urine catecholamines between heavy drinkers and non-heavy drinkers (P≥0.3). A total of 13 participants had a PSQI score higher than 5, indicating poor sleep quality; however, PSQI scores were similar between heavy and non-heavy drinkers (P=0.8). These findings indicate that heavy drinkers had a higher nighttime blood pressure and are consistent with the observation that heavy drinking is associated with an increased risk of hypertension in mid-life adults. Interestingly, the increase in nighttime blood pressure does not appear to be related to catecholamines and sleep quality in apparently healthy mid-life adults does not appear to be influenced by heavy drinking habits. This work was supported by NIAAA AA028537 to CLH and AHA 1266805160 to TH. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

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.

Sleep hygiene education program during pregnancy: a prospective randomized controlled study.

Pregnancy-related psychophysiological changes are associated with the sleep alterations as the gestational weeks progress. The aim is to evaluate the effectiveness of sleep hygiene education programs during pregnancy. This prospective randomized controlled study based on pre-post-test after intervention consists of 30 studies and 30 control groups. Pregnant descriptive form, Beck Depression Index (BDI), Pittsburgh Sleep Quality Index (PSQI) and sleep hygiene index (SHI) questionnaires were used. Pregnant women with a score of 15 and above according to BDI were excluded from the study due to depression. Following the application of PSQI and SHI as a pretest, a sleep hygiene training program was applied to the intervention group twice with an interval of 15 days, and PSQI and SHI surveys were repeated as a posttest at the end of 1 month. End points with prespecified hypotheses were changes in sleep quality in different trimesters during antenatal follow-up (primary end point) and changes in sleep quality after the sleep hygiene education intervention from randomization to the end of the intervention period (secondary end point). 90% of all pregnant women had poor sleep quality in the pre-test, and 93.3% in the post-test. In the intervention group, the pre-test PSQI score was 8.10 ± 1.80 and the post-test PSQI score was 8.37 ± 2.05 (p < 0.001). In the control group, the pre-test PSQI score was 8.23 ± 2.54 and the post-test PSQI score was 9.77 ± 2.54, and the worsening of sleep quality became more evident (p < 0.05). While the SHI in intervention group was 16.57 ± 5.64 in the pre-test, it was 10.30 ± 3.78 in the post-test after sleep hygiene training (p < 0.001). In the control group, the pre-test SHI scores increased from 14.50 ± 3.78 to the post-test scores of 16.60 ± 4.36, resulting in a decline in sleep hygiene and sleep quality (p < 0.05). As the gestational week progressed, the deterioration in sleep quality increased. The poor sleep quality improved significantly after sleep hygiene education counseling. It is recommended to add sleep-related screenings to routine pregnancy follow-ups and to provide sleep hygiene education.

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.

Quality of sleep among trainee doctors at the Charles Nicolle Hospital after vaccination against COVID19

IntroductionSleep quality depends on several factors such as smoking, physical activity, diet, and certain pathologies, namely obstructive sleep apnoea syndrome. Indeed, following their vaccination against COVID19, several medical trainees complained about a deterioration of their sleep quality.ObjectivesTo evaluate the quality of sleep of medical trainees who work at Charles Nicolle Hospital and who were vaccinated against SARS-COV2.MethodsWe conducted a descriptive cross-sectional study among medical trainees at Charles Nicolle Hospital who were vaccinated against COVID-19 during the period from March 2020 to August 2022. Sleep quality was evaluated by the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Trainees were contacted during the period August 2022 to September 2022.ResultsSixty-nine medical trainees, vaccinated against Covid19 joined our study. Forty-nine of them had a significant sleep disturbance: Pittsburgh Sleep Quality Index (PSQI) greater than five. The average age was 29.39±3.04 years with a female majority (73.5%). No psychiatric history was found. The most affected category of trainees were residents (71.4%). Forty-three of them were inoculated with the messenger RNA vaccine and 4 with inactivated vaccine. Twenty-one patients vaccinated with the messenger RNA vaccine received two doses, seventeen received three doses and only one received a single dose. Sleep latency was high in 20,4% of cases. A sleep duration of less than five hours per night was found in 18,4% of the cases. Six participants reported using a sleep aid three to four times a week.ConclusionsOur study revealed a significant sleep disturbance in medical trainees at Charles Nicolle Hospital. This could be due to the SARS-COV2 vaccination but can also be explained by the night shifts and the stress to which they are exposed, especially during this pandemic period.Disclosure of InterestNone Declared