Pittsburgh Sleep Quality Index Questionnaire Research Articles

Chronobiological variables predict non-response to serotonin and noradrenaline reuptake inhibitors in fibromyalgia: a cross-sectional study.

Available data shows associations between chronotype, circadian rhythms, sleep quality and fibromyalgia (FM) presentation. However, no studies have explored links between the chronobiological variables and effectiveness of pharmacotherapy. We aimed to assess the chronotypes, circadian rhythms, sleep-wake cycle and sleep quality in FM and their links to treatment response to serotonin and noradrenalin reuptake inhibitors (SNRI). 60 FM patients: 30 responsive to SNRI (FM T[+]), 30 non-responsive to SNRI (FM T[-]) and 30 healthy controls participated. Subjects were assessed by physician and with questionnaire tools: Composite Scale of Morningness, Biological Rhythms Interview of Assessment in Neuropsychiatry, Sleep-Wake Pattern Assessment Questionnaire, Pittsburgh Sleep Quality Index and Fibromyalgia Impact Questionnaire. ANOVA analysis and simple logistic regressions were used to examine the relationships between chronological variables and response to SNRI. FM T[-] vs. FM T[+] presented lower morning affect (11.50[95%CI 9.96-13.04] vs. 14.00[95%CI 12.42-15.57];p=0.04), anytime wakeability (2.27[95%CI 1.4-3.13] vs. 4.03[95%CI 2.99-5.08];p=0.013) worse overall (11.40[95%CI 9.92-12.88] vs. 7.97[95%CI 6.75-9.19];p=0.002) and subjective (1.70[95%CI 1.30-2.01] vs. 1.17[95%CI 0.94-1.39];p=0.008) sleep quality, higher circadian rhythm disruptions (55.47[95%CI 52.32-58.62] vs. 44.97[95%CI 41.31-48.62];p<0.001), sleep disturbances (1.63[95%CI 1.38-1.68] vs. 1.30[95%CI 1.1-1.5];p=0.04), sleeping-medication use (1.80[95%CI 1.27-2.32] vs. 0.70[95%CI 0.28-1.12];p=0.003). Levels of morningness (AIC=82.91,OR=0.93,p=0.05), morning affect (AIC=81.901,OR=0.86,p=0.03) diurnal dysrhythmia (AIC=69.566,OR=1.14,p<0.001), anytime wakeability (AIC=80.307,OR=0.76,p=0.015), overall sleep quality (AIC=74.665, OR=1.31,p=0.002) subjective sleep quality (AIC=79.353, OR=2.832,p=0.01) and disturbances (AIC=82.669,OR=2.54,p=0.043), sleep medication use (AIC=77.017, OR=1.9,p=0.003) and daytime disfunction (AIC=82.908, OR=1.971,p=0.049) were predictors of non-response to SNRI. Chronobiological variables vary between FM T[+] and FM T[-] and are predictors of non-response to SNRI.

Sleep quality and glycemic control in adults with type 2 diabetes mellitus

ABSTRACT Aim: Type 2 diabetes mellitus (T2DM) is a common disease that imposes a substantial burden on the healthcare system and patients. Lifestyle modification such as sleep hygiene plays a crucial role in glycemic control. Sleep disorders impact many aspects of health. In this study, we aimed to investigate the correlation between sleep quality and glycemic control in T2DM. Method: This cross-sectional study was performed on 163 T2DM patients, attending Shahid Beheshti Hospital in Hamadan, Iran from March 2020 to 2021. Besides recording the demographic data and HbA1c level of participants, they were asked the Pittsburgh Sleep Quality Index questionnaire for evaluating sleep quality. We employed SPSS ver. 21 for data analysis and considered 0.05 as a significant level Results: Among all participants, 62 (38%) were female and 30.7% were illiterate. The mean age was 56.67 ± 12.90 years, and HbA1c was 9.03 ± 1.92 mg/dL. Among sleep metrics, mean waking time was 8.74 ± 1.74 hours, and average sleep time was 12.90 ± 4.90 hours. Overall, 58.2% of the participants had poor glycemic control and 44.8% were suffering from poor sleep quality. We found that patients with poor glycemic control exhibited significantly higher levels of sleep disturbances compared to those with good glycemic control (P &lt; 0.001). Conclusion: Sleep quality is associated with glycemic control in patients with T2DM. Sleep disorders are common among diabetic patients. Thus, healthcare providers need to consider sleep quality improvement in their holistic approach to diabetes management.

Quality of sleep among hypertensive patients attending a rural health training centre

ABSTRACT Introduction: Sleep is a vital biological, reparative, and restorative phenomenon, and poor sleep has a serious detrimental effect on health. Poor sleep quality is a serious problem as it adversely affects a person’s ability to function physically and socially, as well as their potential for profession and quality of life. The degree of hypertension directly affects sleep quality, and poor sleep can exacerbate hypertensive symptoms. This study assesses hypertension patients’ sleep quality in a rural health training centre in Chennai. Objectives: 1. To study the prevalence of poor sleep quality among hypertensive patients. 2. To determine the association between selected socio-demographic factors and sleep quality among these patients. Materials and Methods: Hypertensives attending the outpatient department of a rural health and training centre were selected in a systematic manner and administered a semi-structured interview schedule and the Pittsburgh Sleep Quality Index (PSQI) questionnaire followed by a basic clinical examination. Using the PSQI, they were categorised as having either poor or good sleep quality and the association between selected socio-demographic factors and sleep quality was assessed. Results: Out of the 179 study participants, there were almost equal numbers of male and female participants. The mean age of participants was 57.80 years (standard deviation (SD) = 9.8 yrs.). Among the study participants, 44.13% had completed secondary level of school as an education qualification and 6.70% were illiterate. By the modified BG Prasad classification 2022, most of the study participants (34.08%) came under the class II socioeconomic classification. A large proportion (78.8%) of study participants had poor sleep quality. The difference in sleep quality was observed with respect to gender, socio-economic class, alcohol consumption and body mass index (BMI). Conclusion: This observational study shows that individuals with hypertension suffer significantly from poor sleep. A poor quality of sleep was reported by 78.77% of the patients in this study. Statistically significant factors that influenced sleep quality were gender, alcohol consumption and BMI.

HOT FLASHES AND SLEEP DISRUPTION IN A RANDOMIZED TRIAL IN MENOPAUSAL WOMEN

BackgroundHot flashes, common during menopause, affect up to 80% of Western menopausal women and are reported to contribute to sleep disturbances in midlife. Few prospective data are available to confirm the specific role of hot flashes in disrupting sleep in midlife women, however, or confirm whether changes in hot flashes in response to clinical therapies result in improvement in sleep. ObjectiveTo examine the effects of continuous nitroglycerin therapy on sleep quality in peri- and postmenopausal women with frequent hot flashes (pre-specified secondary trial endpoint), and to examine prospective associations between hot flashes and sleep disruption in this population. Study DesignSleep data were analyzed from a randomized, double-blinded, placebo-controlled trial of continuous transdermal nitroglycerin (NTG) therapy to suppress nitric oxide-mediated vasodilation in peri- or postmenopausal women with hot flashes. Participants were randomized to uninterrupted use of transdermal NTG (0.2-0.6 mg/hour) or placebo for 12 weeks. Nocturnal hot flashes awakening participants from sleep were evaluated using 7-day symptom diaries at baseline, 5 weeks, and 12 weeks. Sleep disruption (wake time after sleep onset, WASO) was assessed using validated sleep diaries, and global sleep quality was assessed by the validated Pittsburgh Sleep Quality Index (PSQI: range 0 [best] 21 [worst]) questionnaire. Mixed linear models examined changes in sleep quality and disruption, as well as the strength of associations between nocturnal hot flash frequency and sleep outcomes, over 5 and 12 weeks, adjusting for baseline values, age, race, and ethnicity. ResultsAmong the 141 participants (70 to NTG and 71 to placebo, mean age 54.6 [±3.9] years), the mean baseline hot flash frequency was 10.8 (±3.5) per day, including 2.6 (±1.7) nocturnal hot flashes awakening participants. At baseline, hot flashes were the most commonly reported reason for nocturnal awakening, with 62.6% of participants reporting waking due to hot flashes at least twice nightly. Over 5 and 12 weeks, mean frequency of nocturnal hot flashes causing awakenings decreased in both groups (NTG: -0.9 episodes/night, placebo: -1.0 episodes/night). Sleep disruption as measured by average nightly WASO also decreased (NTG: -10.1 minutes, placebo: -7.3 minutes), and mean PSQI score improved (NTG: -1.3 points, placebo: -1.2 points). No significant between-group differences in change in sleep outcomes were detected from baseline to 5 and 12 weeks, including PSQI sleep quality score as a pre-specified secondary trial endpoint (P ≥ .05 for all). Greater improvement in nocturnal hot flash frequency over 5 and 12 weeks was associated with greater improvement in PSQI sleep quality score (β= -0.30, P=.01) and sleep disruption reflected by WASO (β= -1.88, P=.02) in the combined sample. ConclusionAmong menopausal women in a randomized trial of continuous NTG therapy for hot flashes, hot flashes were the most frequently reported cause of nocturnal awakenings. Compared to placebo, continuous NTG therapy did not result in greater improvements in sleep quality from baseline to 5 and 12 weeks. Based on night-by-night symptom diaries and questionnaires, however, greater improvement in nocturnal hot flash frequency in both groups was associated with greater improvement in sleep quality and disruption.

Determinants of sleep disturbances in patients with pulmonary arterial hypertension

Abstract Introduction Pulmonary arterial hypertension (PAH) is a rare, chronic disease that leads to the development of a range of cardiopulmonary and cardiovascular symptoms. Studies indicate that sleep problems may contribute to the deterioration of function in patients with PAH. Identifying factors that are related to the occurrence of sleep disorders can help identify them, and will also allow you to take steps to minimize the risk of insomnia. Purpose The aim of this study was to determine the determinants affecting the incidence of sleep disorders among patients with pulmonary arterial hypertension. Material and methods The study included 89 patients with a diagnosis of pulmonary arterial hypertension (PAH) who are chronically treated and participate in the state program for Therapeutic Treatment of Pulmonary Arterial Hypertension by the National Health Service. The study used standardized tools: a self-administered survey questionnaire, as well as the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Results Patients had a mean PSQI score of M=8.7 (SD=4.64), indicating low sleep quality. Factors that had a significant impact on sleep disturbance were: old age (r=0.373), chest pain (r=0.307), weakness (r=0.296), fatigue (r=0.316), shortness of breath (r=0.242), MWT score 6 (r= -0.237), NT-proBNP (r=0, 517), social support (r=0.237), staying in a relationship (r= -0.21), arrhythmia (r=0.211), number of hospitalizations (r=0.33), male gender (r=0.257), WHO FC class (r=0.503). Conclusions In the study group of patients with PAH, sleep disorders are present in the majority. The progression of clinical symptoms and selected sociodemographic data significantly correlate with the occurrence of insomnia.

Hypervigilance to Pain and Sleep Quality are Confounding Variables in the Infrared Thermography Examination of the Temporomandibular Joint and Temporal and Masseter Muscles.

Verify whether Hypervigilance to Pain (HP) and Sleep Quality (SQ) are confounding variables in the infrared thermography (IT) examination of the temporomandibular joint and temporal and masseter muscles. A cross-sectional and analytical study was conducted, collecting HP and SQ data from 80 participants without Temporomandibular Disorders (TMD), performing their IT and another 40 participants with TMD. For the selection of participants with and without TMD, the TMD Pain Screener questionnaire and axis I of the Diagnostic Criteria for Temporomandibular Disorders were applied. SQ was verified using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. For the HP assessment the Pain Vigilance and Awareness Questionnaire (PVAQ) was applied. And the IT was performed through a FLIR infrared sensor camera, model T650 Infrared. No significant correlations were found between SQ and the temperatures of the areas of interest (p > 0.05), and regarding HP, a statistically significant positive correlation was found with the dimensionless (ρ = 0.289) and non-dimensionless (ρ = 0.223) asymmetries of temporal muscle temperatures. In the temperature comparisons between the participants without TMD and the participants with TMD, significant differences were found (p < 0.05), also when the group without TMD was controlled according to both HP and SQ (p < 0.05), with higher temperatures found in the TMD group. HP and SQ can be considered confounding variables in infrared thermography examination of the temporomandibular region.

Duration of Water-Based Exercise on Hemodynamic and Sleep Quality: An of Hypertensives and Normotensives Subanalysis

ABSTRACT Purpose: This study aimed to determine whether a better hemodynamic profile and a better sleep quality are associated with the duration of physical exercise in the water; secondly, it aims to determine whether better sleep quality is associated with a more favorable hemodynamic profile. Methods: 97 subjects (85 women, age 59.46 ± 10.62) were included in the study. Groups were divided into normotensive (n = 46) and hypertensive individuals, (n = 51) duration of water aerobics (1–6 (n = 18), 7–11 (n = 11), 12–35 (n = 26), and > 36 months (n = 42), respectively), and sleep quality (Good, Poor, and Sleep Disordered). The peripheral (brachial), central (through applanation tonometry), and arterial blood pressure were assessed, and the Pittsburgh Sleep Quality Index questionnaire was collected. Results: We found that the groups practicing water-based exercise for a more extended period (>6 months) did not present improved pressure values and sleep quality. The best (though still weak) relationship between the water-based exercise time and the sleep quality values occurred between the group of 7–11 exercising for over 36 months (r = - 0.29 for both). When multivariate regression analysis was performed, there was interaction between AIx@75bpm and sleep quality score, as well as between AIx@75bpm and the age of subjects (p = .006 and 0.003, respectively). Conclusion: The data from the present study reported that subjects who participated for a longer time in the water aerobics training protocol had no additional hemodynamic and sleep quality benefits compared to volunteers with shorter duration groups (<6 months).

Relationship Between Sleep Quality and Quality of Life: Analysis of Hepatocellular Carcinoma Survivors.

We analyzed the correlation between the Pittsburgh Sleep Quality Index (PSQI) subcategories (sleep quality, sleep latency, sleep duration, sleep efficiency, sleep disturbance, sleep medications, and daytime dysfunction) and a comprehensive measure of quality of life (QOL), the 36-Item Short Form Survey (SF-36) items, in patients with hepatocellular carcinoma (HCC) to determine the components that require intervention to improve QOL. A total of 75 patients with recurrent HCC admitted to our hospital between May 2021 and May 2023 were included in this study. The QOL score was used for the SF-36 items, and the sleep disorder score was used for PSQI questionnaires. Correlations were found between sleep quality, sleep disturbance, and SF-36 for all QOL items and between sleep onset time and SF-36 for six QOL items: bodily pain, mental health, physical functioning, role-emotional, role-physical, and vitality. Correlations between daytime dysfunction and SF-36 were found for all QOL items, except for physical functioning. No correlation was found between sleep duration, sleep efficiency, sleep medications, and SF-36 for any QOL item. Sleep duration, sleep efficiency, and sleep medications may not contribute to QOL improvement in patients with HCC and sleep disturbances. Factors that improve sleep quality and sleep difficulty may contribute to QOL improvement. Therapeutic interventions aimed at improving general health and social functioning for sleep latency and physical functioning for daytime arousal difficulty are required.

Sleep disorders and diabetes mellitus. Literature review and own data

The article presents analysis of current research on sleep disorders in patients with type 2 diabetes mellitus (T2DM). The mechanisms underlying the relationship between insomnia and glycemic control are complex, as both DM can cause sleep disorders and insomnia can worsen the course of diabetes. It is well known that both short (&lt; 6 hours) and long (&gt; 8 hours) sleep durations are associated with an elevated risk of diabetes development. The reported prevalence of sleep disorders in diabetes patients ranges between 28.0% and 59.1%. Our investigation performed in Lviv with the use of Pittsburgh Sleep Quality Index (PSQI) questionnaire, identified that 46.2% of T2DM patients experienced sleep disorders. A comprehensive literature review also unveils association between DM and diverse sleep disorders such as insomnia, circadian rhythm disturbances, obstructive sleep apnea (OSA), and restless legs syndrome (RLS). The article furnishes insights into the classification, diagnostic principles, and treatment modalities for these disorders. Referral of patients to sleep specialists for the management of sleep disorders and the integration of sleep hygiene into diabetes care can effectively mitigate symptoms, forestall DM complications, and enhance patients’ quality of life. Circadian molecules like nobiletin, REV‑ERB agonists, and CRY stabilizers have demonstrated efficacy in preclinical studies and hold potential for the development of novel treatments for conditions associated with circadian dysregulation. Considering the frequency of detection of sleep disorders in T2DM patients according to the modern literary sources and own research, the study of this problem is important for the development of an algorithm for the examination of such patients, namely the need for endocrinologists to pay attention to the sleep status of patients and, if necessary, to refer them to somnologists. Further investigation into the etiology of sleep disorders in T2DM patients and their correlation with carbohydrate metabolism indicators exhibits promise. It is imperative to explore avenues to address these causes by complementing the primary therapy for T2DM.

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 (&gt;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.

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).

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.