Sufficient Sleep Research Articles

Sleep deprivation and associated factors among students of the Institute of Health in Jimma University, Southwest Ethiopia

Abstract Objective Despite getting sufficient sleep being one of the most important things that we can do to keep our body and mind healthy, sleep deprivation has become a major public health concern. This study aimed to determine the prevalence of sleep deprivation and its associated factors among students of the Institute of Health in Jimma University. Methods An institution-based cross-sectional study was conducted from April 10 to April 24 in 2019. Data were collected from 365 randomly selected participants and analyzed using Statistical Package for the Social Sciences (SPSS; version 23). Multivariate logistic regression analysis was used to identify the factors associated with sleep deprivation. The level of significance was declared at a P-value of <0.05. Results A total of 365 participants participated, with a response rate of 97.6%. The study findings showed that 60.8% of students had sleep deprivation and 68.2% had sleep latency. Health problems (adjusted odds ratio [AOR] = 1.91 [95% confidence interval {CI} = 1.01–3.58]), alcohol consumption [AOR = 0.42 (95% CI = 0.2–0.89)], cigarette smoking [AOR = 0.31 (95% CI = 0.09–0.93)], khat chewing [AOR = 0.47 (95% CI = 0.12–0.82)], use of an electronic device before bedtime [AOR = 5.26 (95% CI = 1.78–15.52)], and cumulative grade point average (CGPA) [AOR = 0.48 (95% CI = 0.27–0.83)] were significantly associated with sleep deprivation. Conclusions Sleep deprivation was common in the study area. This is mainly due to health problems, substance utilization, long-time use of an electronic device, and low CGPA. Therefore, a strategy and system should be established to limit substance use, enhance proper use of electronic devices, and create awareness on the impact of nonoptimal sleep.

Associations of Sleep Insufficiency and Chronotype with Inflammatory Cytokines in College Students.

PurposeSleep insufficiency and circadian rhythm disturbances in college students have become prominent. Current findings show that sleep insufficiency is closely related to inflammation. Studies on the correlation between chronotype and inflammatory factors are still lacking. Therefore, this research intended to examine the relationships between sleep duration, chronotype and inflammatory cytokines in young adults, and to estimate the correlation between chronotype and inflammatory cytokines stratified by sleep duration.Patients and MethodsWe conducted a cross-sectional study in April and May 2019. Participants were recruited from two colleges located in central China. The Pittsburgh Sleep Quality Index (PSQI) and the Morning and Evening Questionnaire-5 (MEQ-5) were administered to assess sleep duration and chronotype. Sleep duration less than 7 hours was defined as insufficient sleep. Fasting venous blood was collected to measure plasma levels of inflammatory markers including IL-1β, IL-6, TNF-α and IL-10.ResultsA total of 723 participants were included in this study, with a mean age of 18.68 years (standard deviation=0.99). After adjusting for confounding factors, the results of generalized linear model showed that sleep insufficiency was positively correlated with IL-1β, TNF-α and IL-10; and evening-types (E-types) were positively associated with the levels of IL-1β and IL-6 (p<0.05). Compared to the control group (sleep sufficiency and M-types), there were positive interaction effects of sleep insufficiency and neutral-types (N-types) on the levels of IL-1β, IL-6, TNF-α and IL-10 (p<0.05). The hierarchical regression model showed that N-types and E-types were positively correlated to the levels of IL-1β, IL-6, TNF-α and IL-10 among college students with sleep insufficiency (p<0.05).ConclusionThe levels of inflammatory markers were higher among college students with sleep insufficiency and E-types. N-types and E-types were positively correlated with IL-1β, IL-6, TNF-α and IL-10 among college students with sleep insufficiency.

Changes in physiological network connectivity of body system in narcolepsy during REM sleep.

Narcolepsy is marked by pathologic symptoms including excessive daytime drowsiness and lethargy, even with sufficient nocturnal sleep. There are two types of narcolepsy: type 1 (with cataplexy) and type 2 (without cataplexy). Unlike type 1, for which hypocretin is a biomarker, type 2 narcolepsy has no adequate biomarker to identify the causality of narcoleptic phenomenon. Therefore, we aimed to establish new biomarkers for narcolepsy using the body's systemic networks. Thirty participants (15 with type 2 narcolepsy, 15 healthy controls) were included. We used the time delay stability (TDS) method to examine temporal information and determine relationships among multiple signals. We quantified and analyzed the network connectivity of nine biosignals (brainwaves, cardiac and respiratory information, muscle and eye movements) during nocturnal sleep. In particular, we focused on the differences in network connectivity between groups according to sleep stages and investigated whether the differences could be potential biomarkers to classify both groups by using a support vector machine. In rapid eye movement sleep, the narcolepsy group displayed more connections than the control group (narcolepsy connections: 24.47±2.87, control connections: 21.34±3.49; p=0.022). The differences were observed in movement and cardiac activity. The performance of the classifier based on connectivity differences was a 0.93 for sensitivity, specificity and accuracy, respectively. Network connectivity with the TDS method may be used as a biomarker to identify differences in the systemic networks of patients with narcolepsy type 2 and healthy controls.

Recommendations on screen time, sleep and physical activity: associations with academic achievement in Swiss adolescents

ObjectivesThis study aimed to investigate how meeting international recommendations for screen time (<2 h/day), moderate-to-vigorous physical activity (MVPA; at least 60 min/day) and sleep (8–10 h/night), as well as media multitasking (MMI) as a form of screen time, impact academic achievement in early adolescence. Study designA prospective design was used, where self-report measures were collected during the spring semester and academic achievement at the end of the school year. MethodsA total of 1208 grade 3 middle school students (Mage = 13.55 years, SDage = 0.60) in 37 Swiss schools filled out a paper-and-pencil questionnaire including measures of screen time (covering watching television, playing video games, Internet use, smartphone use and social media use), MMI, sleep time and time for MVPA. To evaluate academic achievement, end-term grades were provided by the collaborating education administration for Italian, Maths, Science, History, Geography, Music and Visual arts. ResultsAfter adjustment for covariates, such as gender, socio-economic status, body mass index and stressful life events, multivariate linear mixed-effect models, nesting participants in schools, showed that meeting recommendations for screen time (B = 0.12, β = 0.105, P < 0.001) and MVPA (B = 0.09, β = 0.09, P = 0.001), but not sleep (B = 0.05, P = 0.087), were associated with higher academic achievement. Considering the number of recommendations met, meeting all three recommendations improved academic achievement the most (B = 0.24, β = 0.21, P < 0.001), followed by meeting the guidelines for screen time + MVPA (B = 0.20, β = 0.15, P < 0.001) and for screen time + sleep (B = 0.21, β = 0.13, P < 0.001). In the fully adjusted model, multitasking with two or more media was related to a worse academic achievement. ConclusionsScreen time (including MMI), sleep and MVPA impact academic achievement in adolescence; hence, governmental organisations and schools should raise awareness about the positive and negative effects of following or not recommendations for MVPA, sleep and screen time among adolescents and their parents. In addition, support should be provided to promote sufficient sleep and MVPA while limiting overall screen time and parallel device use.

COVID-19-related fears and information frequency predict sleep behavior in bipolar disorder.

IntroductionThe coronavirus disease (COVID‐19) pandemic and consequent restrictions including social distancing had a great impact on everyday life. To date, little is known about how the restrictions affected sleep, which is commonly disturbed in bipolar disorder (BD). The aim of this study was to elucidate sleep patterns during the pandemic in Austrian BD individuals.MethodsAn online survey assessed sleep with the Pittsburgh Sleep Quality Index (PSQI) and COVID‐19‐associated attitudes, fears, and emotional distress of 20 BD individuals and 19 controls (HC) during the pandemic. The survey was conducted in April 2020, when very strict regulations were declared, and repeated in May, when they were loosened.ResultsIndividuals with BD reported overall poor sleep according to PSQI sum at both time points. Subjective sleep quality, sleep latency, daytime sleepiness, and PSQI sum were worse in individuals with BD than in HC. Individuals with BD informed themselves more frequently about pandemic‐related topics. Higher information frequency and more COVID‐19 fears (about the virus, own infection, contracting others) correlated with worse PSQI values. Regression models found in BD group that higher information frequency as well as higher COVID‐19 fears in April predicted worse sleep characteristics in May, in particular subjective sleep quality, sleep duration, sleep efficiency, and daytime sleepiness.ConclusionAs sufficient sleep duration and quality are essential for well‐being and particularly important for vulnerable BD individuals, it is important that information about the pandemic is gathered to a reasonable extent and mental health professionals include COVID‐19‐related fears when currently treating BD.

COVID-19 instructional approaches (in-person, online, hybrid), school start times, and sleep in over 5,000 U.S. adolescents.

Study ObjectivesTo examine associations among instructional approaches, school start times, and sleep during the COVID-19 pandemic in a large, nationwide sample of U.S. adolescents.MethodsCross-sectional, anonymous self-report survey study of a community-dwelling sample of adolescents (grades 6–12), recruited through social media outlets in October/November 2020. Participants reported on instructional approach (in-person, online/synchronous, online/asynchronous) for each weekday (past week), school start times (in-person or online/synchronous days), and bedtimes (BT) and wake times (WT) for each identified school type and weekends/no school days. Sleep opportunity was calculated as BT-to-WT interval. Night-to-night sleep variability was calculated with mean square successive differences.ResultsRespondents included 5,245 racially and geographically diverse students (~50% female). BT and WT were earliest for in-person instruction; followed by online/synchronous days. Sleep opportunity was longer on individual nights students did not have scheduled instruction (>1.5 h longer for online/asynchronous than in-person). More students obtained sufficient sleep with later school start times. However, even with the same start times, more students with online/synchronous instruction obtained sufficient sleep than in-person instruction. Significantly greater night-to-night variability in sleep-wake patterns was observed for students with in-person hybrid schedules versus students with online/synchronous + asynchronous schedules.ConclusionsThese findings provide important insights regarding the association between instructional approach and school start times on the timing, amount, and variability of sleep in U.S. adolescents. Given the public health consequences of short and variable sleep in adolescents, results may be useful for education and health policy decision-making for post-pandemic secondary schools.

The effect of COVID-19 school closures on adolescent sleep duration: an uncontrolled before-after study

BackgroundThe coronavirus disease 2019 (COVID-19) pandemic affected almost 1.6 billion students or more than 90% of learners globally. However, the effect of school closures during COVID-19 pandemic on adolescent sleep duration remains unclear.MethodsWe undertook a cross-sectional electronic survey in six junior and senior high schools in Shanghai, China from late June to early July 2020. We evaluated the changes of sleep duration on weekdays by comparing sleep duration hours and insufficient sleep (< 9 h for children aged 6–13 years or < 8 h for teenagers aged 14–17 years) in COVID-19 school closures and after school reopening. We also investigated possible sex differences in the changes of sleep duration.ResultsA total of 3265 students completed the survey, the mean age was 14.56 ± 1.99 years, 1567 (47.99%) were girls and 1344 (41.17%) were in grades 10–12. The overall sleep duration decreased from 8.88 h in school closures to 7.77 h after school reopening, and the change (difference: − 1.11 h; 95%CI: − 1.16, − 1.07; P < 0.001) was statistically significant. The prevalence of insufficient sleep increased sharply from 21.10 to 63.98%, and the change (ratio:3.03; 95%CI:2.84, 3.23; P < 0.001) was statistically significant. Besides, the changes were greater in girls than in boys.ConclusionResults of this study revealed that sleep duration was longer and percentage of sufficient sleep was higher during COVID-19 school closures in adolescent students.

THE EFFECT OF BABY MASSAGE ON THE SLEEP QUALITY OF 3-12 MONTHS BABIES IN PRIVATE MIDWIVE JAMBI CITY

Introduction: Sleep needs in infants 3-12 months are not only in terms of quantity but also quality. Good quality sleep provides benefits to the fulfilment of physical and psychological needs. One method of meeting these needs is baby massage. A common reason for mothers to give baby massages is the child’s habit of fussing at night and often waking up, and they say that after the massage, their child becomes calm at night. This study aims to analyze the effect of baby massage on the sleep quality of infants aged 3-12 months at private midwife Muji Kenali Asam in Jambi City. Material and Methods: This pre-experimental study consisted of a one-group pretest-posttest design for a group of 68 infants aged 3-12 months. The questionnaire was compiled into a google form, and the link was distributed to each mother. Data processing consists of editing, coding, tabulating and statistical tests (Wilcoxon test) at the limit of significance value of 0.05. Results: The study results that can be described are that most of the sleep quality of infants aged 3-12 months before the intervention was sufficient at 45.6%, and for poor quality, it was 27.9%. After the intervention, most infants aged 3-12 months were good in sleep quality by 45.5% and sufficient sleep quality by 52.9%. The results of the Wilcoxon test revealed the effect of infant massage on infant sleep quality with a significance value of p-value = 0.001. Conclusion: Baby massage tends to improve the baby’s sleep quality. Therefore Midwifery students need to acquire baby massage skills and promote the method to mothers, particularly those with babies 3-12 months.

Effects of Acute-Partial Sleep Deprivation on High-Intensity Exercise Performance and Cardiac Autonomic Activity in Healthy Adolescents

Performing high-intensity exercise (HIE) in the morning under sleep deprivation may harm the health benefits related to sufficient sleep and HIE. Therefore, the aim of this study was to explore the effects of acute-partial sleep deprivation on HIE performance and cardiac autonomic activity by monitoring heart rate variability (HRV) indices. Twenty-nine healthy male adolescents in college were recruited to perform a one-time HIE session on the treadmill (Bruce protocol) after ≥7 h of normal control sleep (control) and after ≤4 h of acute-partial sleep deprivation (SD). At the beginning of control and SD periods and after exercising under the two sleep conditions, heart rate (HR), standard deviation of normal to normal (SDNN), square root of the mean squared differences of successive NN intervals (RMSSD), normalized low frequency power (LFn), normalized high frequency power (HFn), number of pairs adjacent NN intervals differing by ≥50 ms in the entire recording count divided by the total number of all NN intervals (pNN50), and short axis and long axis value in Poincaré plot (SD1 and SD2) were measured at rest in an upright sitting position. The participants slept 7.63 ± 0.52 and 3.78 ± 0.69 h during control and SD periods, respectively (p &lt; 0.001). Compared with the control participants, those suffering sleep deprivation experienced a significant decrease in exercise duration, RMSSD, HFn, SD1, and pNN50 as well as a significant increase in maximum heart rate during exercise (p &lt; 0.05). SDNN, RMSSD, HFn, SD1, and pNN50 decreased significantly after exercise (p &lt; 0.05 and 0.01 and 0.001, respectively). In summary, acute-partial sleep deprivation affected aerobic exercise performance the next morning and led to decreased cardiac vagus activity and cardiac autonomic dysfunction.

Prospective changes in sleep problems in response to the daily rest period among Japanese daytime workers: A longitudinal web survey.

SummaryThe daily rest period (DRP) is the daily inter‐work interval and can include a sleep opportunity, leisure time, and other non‐work time. A longer DRP may allow workers to increase time in bed (TIB) and adjust sleep timing, and that may reduce sleep problems such as short sleep duration, sleep debt, social jetlag, and poor sleep quality. The present study examined the longitudinal association between the DRP and these sleep problems among Japanese daytime workers. The DRP, TIB on workdays, sleep quality (Pittsburgh Sleep Quality Index [PSQI]), sleep debt and social jetlag were measured in November 2016 (n = 10,000) and February 2019 (n = 3,098). Of these, 955 permanent daytime workers were divided into five groups based on the change in the DRP duration: shortened ≥2 hr, shortened ≥1 hr, no change (<1 hr), extended ≥1 hr and extended ≥2 hr. Linear mixed‐model analysis revealed significant interaction (group × time) effects on the TIB, PSQI score and sleep debt (all p < 0.001), but not on social jetlag (p = 0.476). Post hoc comparisons revealed that the TIB was decreased, and the sleep debt was increased in the shortened ≥2 hr group, whereas the TIB was increased and PSQI score was improved in the extended ≥2 hr group (all p < 0.01). These findings suggest that an extension of the DRP improves sleep quantity and quality but not sleep debt and social jetlag. Aside from extending the DRP, ensuring a sufficient sleep duration and adjusting sleep timing during the DRP may also be needed to prevent sleep problems.

Association of healthy lifestyle score with all-cause mortality and life expectancy: a city-wide prospective cohort study of cancer survivors

BackgroundAdherence to a healthy lifestyle could reduce the cancer mortality in the western population. We conducted a city-wide prospective study in China investigating the association of a healthy lifestyle score with all-cause mortality and the life expectancy in cancer survivors.MethodsThis prospective cohort study included 46,120 surviving patients who were firstly diagnosed with cancer in Guangzhou. Five low-risk lifestyle factors including never smoking, never alcohol use, regular physical activity (≥ 2 h/week), sufficient sleep (≥ 6 h/day), and normal or high BMI (≥ 18.5 kg/m2) were assessed and a lifestyle score (0–5, a higher score indicates healthier lifestyle) was generated. Hazard ratios (HRs) of all-cause mortality and the life expectancy by levels of the lifestyle scores were estimated.ResultsOf 46,120 cancer survivors registered from 2010 to 2017, during an average follow-up of 4.3 years (200,285 person-years), 15,209 deaths were recorded. Adjusted HRs for mortality in cancer survivors with lifestyle score of 0–2, versus 5, were 2.59 (95% confidence interval (CI): 2.03–3.30) in women, 1.91 (95%CI 1.77–2.05) in men, 2.28 (95%CI 2.03–2.55) in those aged <65 years, and 1.90 (95%CI 1.75, 2.05) in those aged ≥ 65 years. Life expectancy at age 55 for those with a score of 0–2 and 5 was 53.4 and 57.1 months, respectively. We also found that cancer survivors with healthy lifestyle scores of 5 showed 59.9 months of life expectancy on average, which was longer than those with a score of 0–2.ConclusionAdopting a healthy lifestyle was associated with a substantially lower risk of all-cause mortality and longer life expectancy in cancer survivors. Our findings should be useful for health education and health promotion in primary care and clinical practice.

Prevalence of Insufficient Sleep and Its Associated Factors Among Working Adults in Malaysia.

IntroductionGiven the scarcity of data on sleep insufficiency in developing countries and its emerging importance in public health, this study aims to provide the prevalence and factors associated with insufficient sleep among working Malaysian adults.Materials and MethodsA total of 11,356 working adults (≥18 years) were recruited from a cross-sectional online health and work survey. Sleep duration was self-reported and was categorised as insufficient sleep (<7 h) and sufficient sleep (≥7 h) based on the National Sleep Guidelines’ daily sleep time recommendation for adults. The 10-item Kessler scale was used to assess psychological distress levels (cutoff score ≥20). Bivariate and multivariable regression analyses were performed to examine the factors associated with insufficient sleep.ResultsThe mean age of the participants was 35.7 years (standard deviation, SD±9.2). There were more female (n=6613; 58.2%) respondents. The mean sleep duration was 6.49 h (SD±1.10). A total of 6212 individuals (54.7%) reported getting <7 h of sleep daily. After adjusting for gender, marital status and educational attainment, older age (odds ratio, OR=2.22, 95% confidence interval, 95% CI: 1.72–2.86), ever smoking (OR=1.38, 95% CI: 1.25–1.53), and high psychological distress (OR=1.33, 95% CI: 1.17–1.53) were found to be associated with insufficient sleep. Factors associated with sleep duration of <7 h per night included having children (OR=1.35, 95% CI: 1.21–1.50), lifestyle factors (OR=1.38, 95% CI: 1.25–1.53), poor sleeping conditions (OR=1.21, 95% CI: 1.07–1.36), and mental health issues (OR=1.32, 95% CI: 1.12–1.54).Discussion and ConclusionMore than half of the participants reported sleep insufficiency. Older age, ever smoking, and high levels of psychological distress were significantly associated with insufficient sleep. Our findings recognise sleep as an emerging public health issue. Smoking cessation programmes and addressing high psychological distress may be beneficial to improve sleep.

Sufficient sleep attenuates COVID-19 pandemic-related executive dysfunction in late adolescents and young adults

PurposeTo investigate the interaction between (1) sleep and the COVID-19 pandemic; and (2) social cumulative risk and COVID-19 pandemic on executive function (EF). MethodsForty late adolescents/young adults (19.25 ± 1.12 y.o.) completed sleep questionnaires and the Behavior Rating Inventory of Executive Function- Adults (BRIEF-A) before and during the COVID-19 pandemic, yielding 80 observations for data analysis. Multilevel random-effects models with interaction terms were used to estimate the associations. ResultsCompared to pre-pandemic sleep, participants slept 24 min longer (t = −2.07, p = 0.03) and also had increased sleep latency (t = −1.83, p = 0.07) during COVID-19. Mid-sleep times shifted 40 min later (t = −3.22, p = 0.003), and BRIEF-A scores increased (indicating greater dysfunction), during the pandemic (p < 0.05). The worsening in EF during the pandemic was attenuated by increasing sleep duration (B = -4.38, p = 0.04) and magnified by social cumulative risk (B = 3.19, p = 0.04). Poor sleep quality was independently associated with increase in EF problems (p < 0.05). ConclusionSufficient sleep may represent a resilience factor against EF decline during this unprecedented crisis.

Lecture start time and sleep characteristics: Analysis of daily diaries of undergraduate students from the LoST-Sleep project

ObjectivesEmerging evidence shows that later high school start times are associated with increased sleep duration; however, little is known if this extends to the university setting. This study investigated associations of first lecture start times with sleep characteristics among university students. DesignDaily diaries. SettingLincoln, UK. ParticipantsOne hundred and fifty-five undergraduate students completed 7-night sleep diaries MeasurementsOf the plausible lecture-day diaries (Monday-to-Friday, expected N = 755 days), 567 days were lecture days (M = 3.8 lecture-days per student, SD = 1.1). The Consensus Sleep Diary was used to collect sleep characteristics. Two-level multilevel mixed effect generalized linear models were employed in the analyses. ResultsSeventy-five percent of first lectures occurred before noon. Students reported short sleep (M = 7.0 hours, SD = 1.9) and fewer reported highest levels of sleep quality (42.8%) and restfulness (24.8%) when first lectures started at 09:00 or 09:30 compared to 10:00 or later. Every hour delay of first lecture start time was associated with 15.1 (95% confidence interval [CI]: 9.5; 20.7) minutes increase in sleep duration and higher odds of reporting the highest levels of sleep quality and restfulness. Focusing on attended lectures starting before noon, hourly delay of first lecture start time was associated with 37.4 (95% CI: 22.0; 52.8) minutes increased sleep duration. Bedtime, sleep time, and sleep onset latency were not significantly associated with first lecture start times. ConclusionThis study found that undergraduate students had longer sleep and healthier sleep quality when university first lectures started later. The earliest lecture start time that afforded sufficient sleep duration for students was 10:00.

The effect of sociodemographic factors on the risk of poor mental health in Akron (Ohio): A Bayesian hierarchical spatial analysis

We examined the association of sociodemographic factors on mental health risk within the city of Akron (Ohio). A Spatial Bayesian Hierarchical model was used in this study. We found that the risk of poor mental health was positively associated with the proportion of people lacking sufficient sleep (RR = 0.42, 95% CI:0.22-0.62), the percentage of people below poverty (RR = 0.12, 95% CI: 0.09, 0.16), and the percentage of married couples (RR = 0.02, 95% CI: -0.05, 0.08). On the contrary, the percentage of female population (RR = -0.06, 95% CI: -0.13, 0.01), the percentage of the black population (RR = -0.05, 95% CI: -0.08, -0.02), and the college-educated population (RR = -0.03, 95% CI: -0.09, 0.04) was negatively associated with the risk of poor mental health. We also found that the sociodemographic variables have spatially varying effects across different neighborhoods. Future studies will examine the joint spatial effect of poor mental health risk and suicide ideation in the study area.

Which Is More Important for Health: Sleep Quantity or Sleep Quality?

Sleep is one of the basic physiological processes for human survival. Both sleep quantity and sleep quality are fundamental components of sleep. This review looks at both sleep quantity and sleep quality, considering how to manage the complex but probably unavoidable physiological phenomenon of sleep. The need for sleep has marked variations between individuals, in addition to the effects of variable conditions. Studies on sleep quality started later than those on sleep quantity, beginning in 1989 when Ford and Kamerow revealed that insomnia increases the risk of psychiatric disorders. According to the nationwide research team on the quality of sleep (19FA0901), sleep quality is superior to sleep quantity as an index for assessing sleep, and that restfulness obtained through sleep is a useful index for assessing sleep quality. We should pay more attention to obtaining sleep of good quality (restfulness, no sleepiness, no need for more sleep, sufficient objective sleep depth, etc.), although there have not been enough studies on the associations between sleep quality and health or disorders in children and adolescents. Further studies using the deviation from an individual’s optimal sleep quantity may show us another aspect of the effects of sleep quantity on various life issues.

Development of Information System-Based Policy for COVID-19 affected Students in the Semi-Arid Area of Indonesia

This study aimed to provide an overview of the diet of students during the COVID-19 pandemic, socioeconomic status, the physical activities undertook the practiced COVID-19 prevention behavior, and student health. The sample size obtained was 253 participants, who were new students for the 2020/2021 academic year. Structural equation modeling was used for statistical analysis. Students could access nutritious food, but it was not followed by regular daily exercise. Students were also found to have good COVID-19 prevention behavior, for example using masks, washing hands, and coughing and sneezing etiquette, but only 41% of students had sufficient rest or sleep. Students have a good level of health, despite lacking physical activities. COVID-19 preventive behavior and socioeconomic status indirectly had an impact on student health. The right policies are necessary to improve student health.

Association Between Sleep Duration and Intelligence Quotient in 6-Year-Old Children.

Sufficient sleep during childhood is important for cognitive functions such as learning and successful school performance. This study aimed to investigate the effects of sleep duration on the intelligence quotient (IQ) of 6-year-old children and aimed to analyze whether these effects differed by sex. The IQ of 538 6-year-old Korean participants from the cohort study, "The Environment and Development of Children," was measured during follow-up using the Korean Educational Developmental Institute's Wechsler Intelligence Scale for Children. The total, verbal, and performance IQ scores were evaluated. The relationship between sleep duration and IQ scores after adjusting for maternal age, maternal educational level, maternal occupation, maternal IQ, exposure to secondhand smoking, gestational age, and monthly age and birth season was also assessed. Longer sleep duration was significantly associated with improved verbal IQ measures (β 0.55; p value 0.030). After stratifying participants by sex, a significant association was observed between sleep duration and total, verbal, and performance IQ scores in boys (total IQ 2.49, p value 0.012; verbal IQ 0.75, p value: 0.037; performance IQ 0.73, p value 0.048), but not in girls. The results indicated that only boys show a significant association between IQ scores and sleep duration. These findings support the hypothesis that sleep duration is associated with IQ, in a sex dependent manner. Future studies are needed for a thorough evaluation of the connection between sleep duration and health outcome in young children.

Symptoms of Depression and Anxiety During the Early Phase of the COVID-19 Pandemic in Sweden.

In this cross-sectional study we aimed to assess symptoms of depression and anxiety at an early stage of the COVID-19 pandemic, and to explore factors predictive of these mental health outcomes. A sample of 1,503 participants, recruited from the general Swedish population, completed an online survey distributed through social media. In this sample, 22.2% reported clinically significant levels of depressive symptoms (PHQ-9 ≥ 10) and 10.9% indicated possible major depression using the PHQ-9 algorithm. Moreover, 28.3% reported clinically significant levels of anxiety (GAD-7 ≥ 8) and 9.7% severe anxiety and possible GAD (GAD-7 ≥ 15). Multiple linear regression analyses identified some common predictors for both outcomes. Age, having a stable income, and sufficient social stimulation, sleep, and recovery showed negative associations, whereas worry about the economy and overall burden showed positive associations. These results suggest an impact on mental health already at an early stage of the COVID-19 pandemic.

561-P: Hispanic/Latino Adults with or at Risk of Type 2 Diabetes: Adequate Activity but Not Enough Sleep?

Sufficient sleep and physical activity (PA) are key for optimal health; low PA and sleep are established risk factors for type 2 diabetes (T2D). The American Academy of Sleep Medicine and Sleep Research Society recommend 7 hours/ night for adults; less than 7 hours on a regular basis is associated with adverse health outcomes. Similarly, 8,000 steps/day is associated with 51% lower risk than 4,000 steps/day for premature death. This study assessed PA and sleep in Hispanic/Latino adults with or at risk of T2D. Sleep and PA were measured by Fitbit InspireHR worn on the non-dominant wrist 24 hours/day for 7 consecutive days by 105 Hispanic/Latino adults (mean±SD 57.4±10.3 years, 67 women, 92 with T2D, HbA1c 7.9±2.0). BMI and waist circumference (WC) differed by gender (BMI women (W) 32.3±5.9 vs. men (M) 29.2±4.8, p≤0.01; WC W 102.4±13.6 vs. M 97.1±10.2cm, p≤0.05). Sleep duration was below recommended levels in W and M. Average weekday steps differed significantly from weekend steps. In W, average steps/weekday was negatively correlated with WC -0.26, BMI -0.26, and age -0.27, all p≤0.05. In M, average steps/weekday was negatively correlated with HbA1c -0.44 and total sleep time -0.37, p≤0.05. In these Hispanic/Latino adults with or at risk of T2D, PA was within recommended levels, but sleep was low in both W and M at ~6 hours/night. More weekday steps was associated with lower WC and BMI in W and with lower HbA1c and sleep duration in M. Disclosure W. C. Bevier: Research Support; Self; Abbott Diabetes, Eli Lilly and Company. A. J. Larez: Research Support; Self; Abbott, Eli Lilly and Company. C. Conneely: Research Support; Self; Abbott, Eli Lilly and Company. N. M. Glantz: Research Support; Self; Abbott, Eli Lilly and Company. K. N. Castorino: Consultant; Self; Dexcom, Inc., Research Support; Self; Abbott Diabetes, Abbott Laboratories, Dexcom, Inc., Drawbridge Health, Inc., Lilly Diabetes, Medtronic, Novo Nordisk Inc. D. Kerr: Advisory Panel; Self; Novo Nordisk, Sanofi-Aventis, Research Support; Self; Abbott Diabetes, Elsevier, Lilly Diabetes, Stock/Shareholder; Self; Glooko, Inc. Funding Eli Lilly and Company