Odds Of Excessive Daytime Sleepiness Research Articles

The Prevalence and Predictors of Sleep Disorders and Their Impact on Academic Performance Among Saudi University Students: A Cross-Sectional Study.

University students encounter a variety of sleep problems that have an impact on their health and academic performance. Therefore, the aim of this study was to evaluate the prevalence of sleep disorders and their impact on academic performance among Saudi university students. This is an online cross-sectional study that involved university students and was conducted between November 2022 and February 2023 in Saudi Arabia. Sleep disorders were examined among undergraduate students through online screening surveys including the Epworth Sleepiness Scale (ESS) to assess excessive daytime sleepiness, the Insomnia Severity Index (ISI) to measureinsomnia, and the Berlin questionnaire to examine obstructive sleep apnea (OSA). Restless leg syndrome (RLS) was measured using the RLS rating.SPSSversion 29.0 (IBM Corp., Armonk, NY, USA)was used for all statistical analyses. Binary logistic regression analysis was used to identify predictors of having excessive daytime sleepiness, insomnia, sleep-disordered breathing, and RLS. The sample included 449 participants. According to the ESS, 56.6% (n=254) of students reported excessive daytime sleepiness. Using the ISI, 78.4% (n=352) of students were found to have insomnia. The Berlin questionnaire indicated that 6.7% (n=30) of students had sleep-disordered breathing. Additionally, 13.6% (n=61) of students reported having RLS. Male students had higher odds of sleep-disordered breathing compared to females (p<0.01), while marital status showed that married students had higher odds of sleep-disordered breathing (p<0.05). Students who reported nighttime sleeping had lower odds of insomnia and restless leg syndrome (p<0.05). Having regular sleeping times was associated with higher odds of insomnia (p<0.05). Napping sometimes was associated with higher odds of excessive daytime sleepiness and sleep-disordered breathing (p<0.05). Students working day and night shifts had higher odds of sleep-disordered breathing (p<0.01). Interestingly, students with comorbidities had lower odds of RLS (p<0.01). This study established that sleep disturbances among students significantly reduce grade point averages (GPAs), where the most affected were male students and those who were married. The government should implement sleep education programs, provide resources for the management of sleep, encourage consistent sleep schedules, and come up with targeted interventions for at-risk groups. More research is also recommended on effective sleep interventions.

Promotion of Para Athlete Well-being (PROPEL II): A Cross-sectional Study of Sleep in Para Athletes Across Two Nations.

Limited research exists on the sleep profiles of South African Para athletes. The aims of this study are to describe sleep quality, day-time sleepiness, and chronotype of South African Para athletes and to compare the relationship between sleep-related outcomes and demographic factors to athletes from a higher-resource country. A descriptive, cross-sectional survey was conducted. Sleep-related characteristics were assessed with the Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale and Morningness-Eveningness Questionnaire. Multiple regression models were run with and without country as independent variable. One hundred twenty-four South African athletes and 52 Israeli athletes were included. Thirty percent of South African athletes presented with excessive daytime sleepiness, 35% slept 6 hrs or less per night, and 52% reported poor sleep quality. Thirty-three percent of Israeli athletes reported excessive daytime sleepiness, 29% slept 6 hrs or less, and 56% reported poor sleep quality. Chronotype was the only variable that differed significantly between countries (overrepresentation of morning types in South African athletes, and intermediate types in Israeli athletes). Intermediate chronotypes had significantly greater odds of excessive daytime sleepiness ( P = 0.007) and poor sleep quality ( P = 0.002) than morning types, irrespective of country. The high prevalence of poor sleep among both South African and Israeli Para athletes warrants further investigation.

Association between physical activity, screen time activities, diet patterns and daytime sleepiness in a sample of Brazilian adolescents

ObjectiveTo examine the association between physical activity, screen time, eating habits and daytime sleepiness among Brazilian adolescents. MethodsAdolescents from three high schools (n = 876, 49.8% female, 16.4 ± 1.2 years) participated in this cross-sectional survey. Variables related to lifestyle behaviors (ie, physical activity, screen time, eating habits, sleep duration) were collected through an online questionnaire. Daytime sleepiness was assessed using the Pediatric Daytime Sleepiness Scale (PDSS). Excessive daytime sleepiness was defined as a PDSS score ≥20. ResultsThe average PDSS score was 18.9 (SD ± 4.8) points and 46.8% of adolescents were classified as having excessive daytime sleepiness. Physical activity was inversely associated with PDSS score (β = −0.29, 95% CI -0.47; −0.11). Consuming processed foods frequently (β = 1.16, 95% CI 0.85; 1.47) and using social media (β = 0.22, 95% CI 0.14; 0.30) were positively associated with PDSS score. Similar findings were observed for the odds of excessive daytime sleepiness. Physical activity was inversely associated (OR = 0.91, 95% CI 0.84; 0.99), while frequent consumption of processed foods (OR = 1.55, 95% CI 1.33; 1.82) and using social media (OR = 1.13, 95% CI 1.02; 1.24) were positively associated with excessive daytime sleepiness. ConclusionsLower physical activity level, a higher consumption processed foods, and higher social media use were associated with daytime sleepiness in this sample of Brazilian adolescents.

1107 Arousal And Sleepiness In Opioid Use Disorder Compared To Insomnia Disorder With And Without Comorbid Psychiatric Conditions

Abstract Introduction Insomnia is frequent in opioid use disorder patients on buprenorphine (OUDB) and increases risk of relapse. There is lack of data evaluating specific differences in hyperarousal and daytime sequelae between OUDBs as compared to individuals with insomnia disorder without (ID) or with comorbid psychiatric conditions (CID). Methods We studied 112 patients with ID (47.8±16.3y, 55% female, 13% minority) and 148 with CID (44.7±15.6y, 69% female, 16% minority) evaluated at the Behavioral Sleep Medicine program of Penn State Hershey Sleep Research &amp; Treatment Center and 71 OUDB (37.8±11.2y, 51% female, 16% minority) evaluated at the Recovery, Advocacy, Empowerment and Service program and WellSpan Internal Medicine clinics (York, PA). Subjects completed the Insomnia Severity Index (ISI), Ford Insomnia Response to Stress (FIRST), Arousal Predisposition Scale (APS), Pre-sleep Arousal cognitive (PSAS-C) and somatic (PSAS-S) Scale, Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS) and Epworth Sleepiness Scale (ESS). Excessive daytime sleepiness (EDS) was defined as an ESS score ≥ 10. MANCOVA included age, sex, race/ethnicity and depression as covariates, while logistic regression further included ISI, APS and PSAS-S. Results No differences across groups were observed in PSAS-C or DBAS scores. Subjects with CID and OUDB had significantly higher PSAS-S (15.7±0.5 and 16.4±0.7, respectively) and APS (35.6±0.6 and 36±1, respectively) scores as compared to the ID group (14.2±0.6 and 33.2±0.7, respectively). Subjects with OUDB had significantly higher ESS score (9.8±0.6) as compared to the ID or CID groups (6.2±0.5 and 6.4±0.4, respectively). The odds of EDS were 2.7 times (95%CI=1.2-6.1) higher in the OUDB group as compared to the ID group. Conclusion OUDB may present with similar phenotypic insomnia symptoms as patients with ID or CID but report more sleep-disturbing somatic symptoms and EDS. These data have important implications for tailoring behavioral and pharmacological treatments of insomnia to this specific patient population. Support Junior Faculty Development Program, Penn State College of Medicine

Association between Macronutrient Intake and Excessive Daytime Sleepiness: An Iso-Caloric Substitution Analysis from the North West Adelaide Health Study.

Epidemiological evidence on the association between macronutrient intake and excessive daytime sleepiness (EDS) is scarce. Using data from the North West Adelaide Health Study, we aimed to determine the association between iso-caloric substitution of macronutrients and EDS. Data from 1997 adults aged ≥ 24 years were analyzed. Daytime sleepiness was measured using the Epworth Sleepiness Scale, a score ≥ 11 was considered EDS. Dietary intake data were collected using a food frequency questionnaire. We determined absolute and relative energy intake based on consumption of saturated and unsaturated fats, protein, and carbohydrate. Odds ratios (ORs) were used to determine the associations using log-binomial logistic regression with and without iso-caloric substitution methods, and models were adjusted for confounders. The prevalence of EDS in the sample was 10.6%. After adjusting for potential confounders, substituting 5% energy intake from protein with an equal amount of saturated fat (OR = 1.57; 95% CI: 1.00–2.45) and carbohydrate (OR = 1.23; 95% CI: 0.92–1.65) increased the odds of EDS. When carbohydrate was substituted with saturated fat (OR = 1.27; 95% CI: 0.93–1.59), the odds of EDS were increased. The odds of EDS were lower when saturated fat was substituted with unsaturated fat (OR = 0.74; 95% CI: 0.51–1.06), protein (OR = 0.63; 95% CI: 0.41–0.99) or carbohydrate (OR = 0.79; 95% CI: 0.57–1.08). While these results were consistent over different iso-caloric substitution methods, inconsistent results were found with standard regression. While substitution of fat and carbohydrate with protein was inversely associated with EDS, substitution of protein with fat and carbohydrate was positively associated with EDS. Randomized trials are needed to confirm if dietary interventions can be used to improve daytime alertness in those with EDS.

Identifying factors associated with sleep disturbances among health workers using WhatsApp in Malaysia

Background: The intricate demand of 24/7 work-lifestyle in modern medical practice has prompted health care professionals to adopt the ubiquity of smartphones for virtual communications through multiple apps functionality like WhatsApp. While these mobile apps have shown a commensurate increase globally, studies have hypothesized that such technological addictions could potentially harm individual’s sleep health. This preliminary investigation aims to explore the prevalence and factors associated with sleep disturbances (subjective poor sleep quality and perceived excessive daytime sleepiness) among health care workers using WhatsApp in Malaysia. Methods: A cross-sectional study was conducted among 306 health care workers comprising of doctors and nurses in a Malaysian public health hospital. A self-administered questionnaire consisting of items on socio-demographics, WhatsApp usage characteristics, perceived sleep disturbances, addictive lifestyles and validated items on psychological factors was used. Data were analyzed at descriptive, univariate and multivariate logistic regression levels. Results: The prevalence of sleep disturbances among health workers using WhatsApp in our study sample was relatively high. In multivariate analyses, respondents aged 30 years or younger and those being anxious when denied access to “WhatsApp-ing” activities had significantly higher odds of experiencing poor sleep quality and excessive daytime sleepiness. Women had significantly higher odds of experiencing poor sleep quality than men. Respondents who initiate WhatsApp-ing activities immediately after sleep experienced significantly higher odds of excessive daytime sleepiness as compared to those who don’t. Conclusions: Perceived sleep disturbances among health workers in our sample was significantly associated with demographics, usage characteristics and psychological factors. It warrants further robust research as the use of mobile phone applications among health workers is rising exponentially.

Risk of obstructive sleep apnea, excessive daytime sleepiness and depressive symptoms in a Nigerian elderly population

ObjectivesTo evaluate the risk of obstructive sleep apnea (OSA) in a primary care population of elderly Nigerians and to determine its correlates. MethodsClinical and demographic data of 414 elderly individuals in a primary care clinic were obtained. Their risk of OSA was estimated using Berlin questionnaire while Epworth sleepiness scale and the Center for Epidemiologic Studies Depression Scale (CESD-10) were also administered. ResultsOf the 414 subjects, 96 (23.2%) met the criteria for a high risk for OSA with a male to female ratio of 1:1. Subjects at high OSA risk (high OSA risk group) were younger than those at low OSA risk (low OSA risk group) (71.4±6.8 vs 73.6±7.7, p=0.011). Mean body mass index (BMI, kg/m2) (27.3±5.8 vs 24.7±5.1, p<0.001) and waist circumference (WC, cm) (90.7±13.1 vs 86.5±13.9, p=0.011) were higher in the high OSA risk group compared with the low OSA risk group. A total of 215 (51.9%) and 62 (15.0%) subjects had clinically significant depressive symptoms (CESD-10 score≥10) and excessive daytime sleepiness (EDS), respectively. On regression, the odds of EDS, depressive symptoms, increased BMI and younger age were significantly higher in the high OSA risk group compared with the low OSA risk group. ConclusionsHigh risk for OSA and depressive symptoms are common in our sample of elderly Nigerians. Depressive symptoms, EDS, BMI and age independently predict high OSA risk in the elderly.

The Relation Between Burnout and Sleep Disorders in Medical Students

The aim of this study is to assess the mutual relationships between burnout and sleep disorders in students in the preclinical phase of medical school. This study collected data on 127 medical students who filled in the Maslach Burnout Inventory-Student Survey, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, Beck Depression Inventory, and Beck Anxiety Inventory. Hierarchical logistic regressions tested the reciprocal influence between sleep disorders and burnout, controlling for depression and anxiety. Regular occurrence of emotional exhaustion, poor sleep quality, and excessive daytime sleepiness affected 60, 65, and 63% of medical students, respectively. Emotional exhaustion and daytime sleepiness influenced each other. Daytime sleep dysfunctions affected unidirectionally the occurrence of cynicism and academic efficacy. The odds of emotional exhaustion (odds ratio (OR)=1.21, 95% confidence interval (CI)=1.08 to 1.35) and cynicism (OR=2.47, 95% CI=1.25 to 4.90) increased when daytime sleepiness increased. Reciprocally, the odds of excessive daytime sleepiness (OR=2.13, 95% CI=1.22 to 3.73) increased when emotional exhaustion worsened. Finally, the odds of academic efficacy decreased (OR=0.86, 95% CI=0.75 to 0.98) when daytime sleepiness increased. Burnout and sleep disorders have relevant bidirectional effects in medical students in the early phase of medical school. Emotional exhaustion and daytime sleepiness showed an important mutual influence. Daytime sleepiness linked unidirectionally with cynicism and academic efficacy.

Eveningness Chronotype, Daytime Sleepiness, Caffeine Consumption, and Use of Other Stimulants Among Peruvian University Students.

Objectives: The aims of this study were to evaluate patterns of circadian preferences and daytime sleepiness, and to examine the extent to which the consumption of stimulant beverages is associated with daytime sleepiness and evening chronotype among Peruvian college-age students. Methods: A total of 2,581 undergraduate students completed a self-administered comprehensive questionnaire that gathered information about sleep habits, sociodemographic and lifestyle characteristics, and the use of caffeinated beverages. The Morningness-Eveningness Questionnaire (MEQ) and Epworth Sleepiness Scale (ESS) were used to assess chronotype and daytime sleepiness. We used multivariable linear and logistic regression procedures to estimate odds ratios (OR) and 95% confidence intervals (95% CI) for the associations of sleep disorders with sociodemographic and behavioral factors. Results: The prevalence of daytime sleepiness was 35% [95% CI 32.7-36.4] and eveningness chronotype was 10% [95% CI 8.8-11.1%]. Age, sex, cigarette smoking, and alcohol consumption were significantly associated with an evening chronotype. After adjusting for age, sex, smoking, body mass index, and physical activity, students who reported consumption of any stimulant beverages had 1.25 increased odds of excessive daytime sleepiness (OR=1.25 [95% CI 1.03-1.53]) compared with students who did not consume stimulant beverages. Consumption of any stimulant beverages was not statistically significantly associated with being an evening chronotype (OR=1.30 [95% CI 0.86-1.96]). Conclusions: Excessive daytime sleepiness and eveningness chronotype are common among Peruvian college students. MEQ scores were associated with age, sex, smoking, and alcohol consumption. Regular stimulant beverage consumption tended to be positively associated with excessive daytime sleepiness.

Internet overuse and excessive daytime sleepiness in adolescents

The purpose of this study was to examine the association of Internet overuse with excessive daytime sleepiness (EDS). A total of 2336 high school students in South Korea (boys, 57.5%; girls, 42.5%) completed the structured questionnaire. The severity of Internet addiction was evaluated using Young's Internet addiction test. The proportions of boys who were classified as Internet addicts and possible Internet addicts were 2.5% and 53.7%, respectively. For girls, the corresponding proportions were 1.9% and 38.9%, respectively. The prevalence of EDS was 11.2% (boys, 11.2%; girls, 11.1%). When Internet addicts were compared with non-addicts, they consisted of more boys, drank alcohol more, and considered their own health condition as poor. But smoking was not related with Internet addiction. The prevalence rate of EDS for Internet addicts was 37.7%, whereas that for possible Internet addicts and non-addicts was 13.9% and 7.4%, respectively. The prevalence of insomnia, witnessed snoring, apnea, teeth grinding, and nightmares was highest in Internet addicts, middle in possible addicts, and lowest in non-addicts. With adjustment for duration of Internet use, duration of sleep time, age, gender, smoking, taking painkillers due to headache, insomnia symptoms, witnessed apnea, and nightmares, the odds of EDS were 5.2-fold greater (95% confidence interval [CI]: 2.7-10.2) in Internet addicts and 1.9-fold greater (95%CI: 1.4-2.6) in possible Internet addicts compared to non-addicts. Internet addiction is strongly associated with EDS in adolescents. Clinicians should consider examining Internet addiction in adolescent cases of EDS.