scholarly journals 0330 Sleep Hygiene in Preschoolers: Assessing Biopsychosocial Factors Associated with Preschoolers’ Readiness to Learn

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A125-A126
Author(s):  
R Messnick ◽  
L Evert ◽  
B Dixon ◽  
C Everse ◽  
M Manthei ◽  
...  
Keyword(s):  
Physical Activity ◽  
Young Children ◽  
Sleep Quality ◽  
Positive Impact ◽  
Public Health Problem ◽  
Sleep Hygiene ◽  
Sleep Habits ◽  
Sleep Health ◽  
Wake Time ◽  
Readiness To Learn

Abstract Introduction Sleep is crucial during early development to promote health, education, growth, and quality of life. Insufficient sleep is a public health problem, and this is clearly true for young children. The National Institutes of Health reported that preschoolers need 11-12 hours of sleep daily. We hypothesized that more physically active children would experience better sleep quality which would be associated with higher scores on cognitive and socioemotional measures. We also hypothesized that increased parental awareness of their child’s sleep patterns would predict more successful sleep health indicators in their children, leading to positive impact on preschoolers’ readiness to learn. Methods 82 preschoolers (ages 3-5) completed memory tests, a sleep hygiene scale, and a socioemotional assessment. Following initial cognitive and socioemotional testing, Fitbit devices collected activity and sleep measures for 12 weeks. Additionally, parents recorded bedtimes, wake times, total sleep time, naps, and activity levels in daily sleep journals. We assessed the association between physical activity and sleep quality, bedtime, wake time, memory, sleep hygiene, and socioemotional measures. Results Physical activity was positively associated with better sleep habits, including earlier bedtimes, earlier wake times, more consistent sleep-wake patterns, socioemotional scores, and working memory capacity. Higher child and parent sleep hygiene scales were associated with more consistent bedtimes. On average, the 82 preschoolers tested fell short of the recommended 11-12 hours of sleep per night. Conclusion Greater child and parent awareness of practicing good sleep hygiene increased the likelihood for the child to practice better sleep habits. Since physical activity was positively associated with sleep health measures, it is critical that parents and teachers prioritize sleep and activity in young children. Results of this study provide greater knowledge regarding associations between sleep, physical activity, and biopsychosocial outcomes that may be useful in implementing better education for parents and children geared toward improving sleep. Support This research was generously supported by the Caplan Foundation for Early Childhood and the Hope College Psychology Department.

Getting Enough Sleep: On the Importance of Collecting Longitudinal Data from Wearables to Assess Sleep Quality and Seasonal Effects on Variability in Daily Activity (Preprint)

2021 ◽  
Author(s):  
María Óskarsdóttir ◽  
Anna Sigridur Islind ◽  
Elias August ◽  
Erna Sif Arnardóttir ◽  
Francois Patou ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Data Collection ◽  
Sleep Quality ◽  
Daily Activity ◽  
Hospital Environment ◽  
Sensor Data ◽  
Seasonal Patterns ◽  
Sleep Patterns ◽  
Sleep Habits

BACKGROUND The method considered the gold standard for recording sleep is a polysomnography, where the measurement is performed in a hospital environment for 1-3 nights. This requires subjects to sleep with a device and several sensors attached to their face, scalp, and body, which is both cumbersome and expensive. For longer studies with actigraphy, 3-14 days of data collection is typically used for both clinical and research studies. OBJECTIVE The primary goal of this paper is to investigate if the aforementioned timespan is sufficient for data collection, when performing sleep measurements at home using wearable and non-wearable sensors. Specifically, whether 3-14 days of data collection sufficient to capture an individual’s sleep habits and fluctuations in sleep patterns in a reliable way for research purposes. Our secondary goals are to investigate whether there is a relationship between sleep quality, physical activity, and heart rate, and whether individuals who exhibit similar activity and sleep patterns in general and in relation to seasonality can be clustered together. METHODS Data on sleep, physical activity, and heart rate was collected over a period of 6 months from 54 individuals in Denmark aged 52-86 years. The Withings Aura sleep tracker (non-wearable) and Withings Steel HR smartwatch (wearable) were used. At the individual level, we investigated the consistency of various physical activities and sleep metrics over different time spans to illustrate how sensor data from self-trackers can be used to illuminate trends. RESULTS Significant variability in standard metrics of sleep quality was found between different periods throughout the study. We show specifically that in order to get more robust individual assessment of sleep and physical activity patterns through wearable and non-wearable devices, a longer evaluation period than 3-14 days is necessary. Additionally, we found seasonal patterns in sleep data related to changing of the clock for Daylight Saving Time (DST). CONCLUSIONS We demonstrate that over two months worth of self-tracking data is needed to provide a representative summary of daily activity and sleep patterns. By doing so, we challenge the current standard of 3-14 days for sleep quality assessment and call for rethinking standards when collecting data for research purposes. Seasonal patterns and DST clock change are also important aspects that need to be taken into consideration, and designed for, when choosing a period for collecting data. Furthermore, we suggest using consumer-grade self-trackers (wearable and non-wearable ones) to support longer term evaluations of sleep and physical activity for research purposes and, possibly, clinical ones in the future.

scholarly journals Association of physical activity with sleep health: A systematic review

2019 ◽  
Vol 23 ◽  
pp. 1-26
Author(s):  
Andrea Wendt ◽  
Thaynã Ramos Flores ◽  
Inácio Crochemore Mohnsam Silva ◽  
Fernando César Wehrmeister
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Undergraduate Students ◽  
Data Extraction ◽  
Activity Measurement ◽  
Poor Sleep ◽  
Long Term Effects ◽  
Sleep Health ◽  
Cross Sectional

The aim of this study was to systematically examine the literature on physical activity and sleep in non-clinical and population-based settings. The inclusion criteria were original studies testing the association between physical activity (as exposure) and sleep (as outcome) in representative samples of the general population, workers, or undergraduate students. Sleep health included sleep duration, sleep quality and insomnia. Studies evaluating samples including only individuals with some disease or a health condition were excluded. A search was performed in the PubMed, Scopus, Lilacs, CINAHL, and SPORTdiscus databases in March 2018. Data extraction was performed using the following items: year, author, country, population, age group, sample size, study design, sleep measurement/definition, physical activity measurement/definition, adjustment and main results. A total of 57 studies were selected, which markedly used heterogeneous instruments to measure physical activity and sleep. The majority were conducted in high-income countries and with cross-sectional design. Physical activity was associated with lower odds of insomnia (observed in 10 of 17 studies), poor sleep quality (observed in 12 of 19 studies) and long sleep duration (observed in 7 of 11 studies). The results about short sleep or continuous sleep duration remain unclear. Physical activity seems to be associated with sleep quality and insomnia, especially among adult and elderly populations in which these outcomes are more usually measured. The short- and long-term effects of physical activity intensities and dose-response on sleep should be better evaluated.

Training zu Hause verbessert die Schlafqualität und die Tagesschläfrigkeit älterer Menschen

2019 ◽  
Vol 7 (6) ◽  
pp. 327-328
Author(s):  
Helmut Frohnhofen
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Cognitive Decline ◽  
Daytime Sleepiness ◽  
Exercise Program ◽  
Sleep Hygiene ◽  
Northeastern Brazil ◽  
Home Exercise ◽  
Quality Of Sleep

Background: Aging causes physiological changes which affect the quality of sleep. Supervised physical exercise is an important therapeutic resource to improve the sleep of the elderlies, however there is a low adherence to those type of programs, so it is necessary to implement an exercise program which is feasible and effective. The study aimed to test the hypothesis that a semi-supervised home exercise program, improves sleep quality and daytime sleepiness of elderlies of the community who present poor sleep quality. Methods: This was a randomized controlled trial study, conducted from May to September 2017, in Northeastern Brazil, with elderlies of the community aging 60 years old or older, sedentary, with lower scores or equal to 5 at the Pittsburgh Sleep Quality Index (PSQI) and without cognitive decline. From one hundred ninety-one potential participants twenty-eight refused to participate, therefore, one hundred thirty-one (mean age 68 ± 7 years), and 88% female, were randomly assigned to an intervention group - IG (home exercise and sleep hygiene, n = 65) and a control group - CG (sleep hygiene only, n = 66). Sleep assessment tools were used: PSQI, Epworth sleepiness scale (ESS) and clinical questionnaire of Berlin. The level of physical activity has been assessed by means of International Physical Activity Questionnaire adapted for the elderly (IPAQ) and Mini-Mental State Examination for cognitive decline. All participants were assessed before and after the 12-week intervention period and, also, the assessors were blind. Results: The IG showed significant improvement in quality of sleep with a mean reduction of 4.9 ± 2.7 points in the overall PSQI (p < 0.01) and in all its 7 components of evaluation (p < 0.05), and improvement of secondary endpoint, daytime sleepiness, a decline of 2.8 ± 2.2 points in the ESS (p < 0.01). Conclusion: Our results suggest that semi-supervised home exercise is effective in improving the quality of sleep and self-referred daytime sleepiness of sedentary elderlies of the community who presented sleep disorders. Trial registration: Ensaiosclinicos.gov.br process number: RBR-3cqzfy.

scholarly journals Association between sleep hygiene and sleep quality in medical students

2017 ◽  
Author(s):  
Cameron Brick
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Sleep Hygiene ◽  
Future Research ◽  
Poor Sleep ◽  
Sleep Habits ◽  
Subjective Sleep Quality ◽  
Web Based ◽  
Subjective Sleep ◽  
Future Research Directions

The aim of the current study was to determine whether subjective sleep quality was reduced in medical students, and whether demographics and sleep hygiene behaviors were associated with sleep quality. A web-based survey was completed by 314 medical students, containing questions about demographics, sleep habits, exercise habits, caffeine, tobacco and alcohol use, and subjective sleep quality (using the Pittsburgh Sleep Quality Index). Correlation and regression analyses tested for associations among demographics, sleep hygiene behaviors, and sleep quality. As hypothesized, medical students’ sleep quality was significantly worse than a healthy adult normative sample (t=5.13, p&lt;.001). Poor sleep quality in medical students was predicted by several demographic and sleep hygiene variables, and future research directions are proposed.Brick, C., Seely, D. L., &amp; Palermo, T. M. (2010). Association between sleep hygiene and sleep quality in medical students. Behavioral Sleep Medicine, 8(2), 113–121. https://www.tandfonline.com/doi/abs/10.1080/15402001003622925

Efficacy of an m-Health Physical Activity and Sleep Intervention to Improve Sleep Quality in Middle-Aged Adults: The Refresh Study Randomized Controlled Trial

2020 ◽  
Vol 54 (7) ◽  
pp. 470-483 ◽  
Author(s):  
Anna T Rayward ◽  
Beatrice Murawski ◽  
Mitch J Duncan ◽  
Elizabeth G Holliday ◽  
Corneel Vandelanotte ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Controlled Trial ◽  
Poor Sleep ◽  
Middle Aged ◽  
Poor Sleep Quality ◽  
Sleep Health ◽  
Wait List Control ◽  
Improve Sleep Quality ◽  
Middle Aged Adults

Abstract Background Poor sleep health is highly prevalent. Physical activity is known to improve sleep quality but not specifically targeted in sleep interventions. Purpose To compare the efficacy of a combined physical activity and sleep intervention with a sleep-only intervention and a wait-list control, for improving sleep quality in middle-aged adults without a diagnosed sleep disorder. Methods Three-arm randomized controlled trial (Physical Activity and Sleep Health (PAS), Sleep Health Only (SO), Wait-list Control (CON) groups; 3-month primary time-point, 6-month follow-up) of 275 (PAS = 110, SO = 110, CON = 55) inactive adults (40–65 years) reporting poor sleep quality. The main intervention component was a smartphone/tablet “app” to aid goal setting and self-monitoring physical activity and/or sleep hygiene behaviors (including stress management), and a pedometer for PAS group. Primary outcome was Pittsburgh Sleep Quality Index (PSQI) global score. Secondary outcomes included several self-reported physical activity measures and PSQI subcomponents. Group differences were examined stepwise, first between pooled intervention (PI = PAS + SO) and CON groups, then between PAS and SO groups. Results Compared with CON, PI groups significantly improved PSQI global and subcomponents scores at 3 and 6 months. There were no differences in sleep quality between PAS and SO groups. The PAS group reported significantly less daily sitting time at 3 months and was significantly more likely to report ≥2 days/week resistance training and meeting physical activity guidelines at 6 months than the SO group. Conclusions PIs had statistically significantly improved sleep quality among middle-aged adults with poor sleep quality without a diagnosed sleep disorder. The adjunctive physical activity intervention did not additionally improve sleep quality. Clinical Trial information Australian New Zealand Clinical Trial Registry: ACTRN12617000680369; Universal Trial number: U1111-1194-2680; Human Research Ethics Committee, Blinded by request of journal: H-2016-0267.

scholarly journals Relationship Between Sleep Quality and Hypertension Among Working-Age Population in Indonesia

2020 ◽  
Vol 5 (1) ◽  
pp. 35
Author(s):  
Arwan Setyo Nugroho ◽  
Erni Astutik ◽  
Ferry Efendi
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Health Workers ◽  
Public Health Problem ◽  
Good Time ◽  
Poor Sleep ◽  
Working Age ◽  
Working Age Population ◽  
Prevention Of Hypertension ◽  
Good Sleep

Introduction: One of the diseases which are continuously becoming a public health problem is hypertension. The prevalence of hypertension in working-age or productive age in Indonesia has increased significantly in recent years. There are many risk factors for hypertension in adults, one of which is lack of sleep. Sleep disorders can increase the risk of hypertension. This study aimed at finding out the relationship between sleep quality and the incidence of hypertension among the working-age population in Indonesia. Methods: This study utilized secondary data from the Indonesia Family Life Survey (IFLS) 5 data with a cross-sectional study design. The sample in IFLS 5 was taken using Multistage random sampling. The number of samples was 8,815 with inclusion criteria, which included that respondents were 15-64 years old and had complete data on the variables studied, namely: age, sex, sleep quality, physical activity, Body Mass Index (BMI), smoking habits and hypertension. Data were analyzed using multiple logistic regression. Results: Respondents with poor sleep quality had 1.39 higher odds of experiencing hypertension compared to respondents who had good sleep quality after being controlled by variables of gender, age, smoking status, physical activity, and nutritional status. (Poor-good sleep quality=1.39, 95% CI 1.20-1.61 p=0.000). Conclusions: It is necessary to strengthen information about health promotion regarding the prevention of hypertension in the community, especially good time management, to maintain sleep quality and the need for health programs on prevention of hypertension carried out by the ministry of health to the community through existing health-workers.

Abstract P347: Association Between Sleep Patterns and the American Heart Association Life’s Simple 7 Among Women

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Nour Makarem ◽  
Marie-Pierre St-Onge ◽  
Ming Liao ◽  
Brooke Aggarwal
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Regression Models ◽  
American Heart ◽  
Low Risk ◽  
Lifestyle Behaviors ◽  
Sleep Habits ◽  
Component Scores ◽  
Good Sleep

Introduction: The American Heart Association’s Life’s Simple 7 (AHA LS7) is a measure of cardiovascular health that evaluates seven lifestyle behaviors and clinical risk factors to track the population’s progress towards the AHA 2020 strategic goals. Sleep is an emerging lifestyle risk factor for cardiovascular disease that is not currently included in the AHA LS7. Our aim was to assess the relation of sleep with the AHA LS7 within a diverse sample of women. Hypothesis: We hypothesized that a longer sleep duration, good sleep quality, low risk for obstructive sleep apnea (OSA), and absence of insomnia and snoring would be associated with a higher global AHA LS7 score and its component scores, as measures of compliance to overall and individual AHA LS7 guidelines. Methods: Baseline data from the AHA Go Red for Women Strategically Focused Research Network cohort at Columbia University Medical Center, an ongoing prospective study, were examined (n=323, >50% minority/Hispanic, mean age: 39y, range: 20-76y). Sleep was self-reported using validated questionnaires. A standardized scoring system was used to compute the global AHA LS7 score using criteria for smoking, diet, physical activity, body mass index (BMI), blood pressure (BP), total cholesterol, and fasting glucose. Women received a score of 2 (optimal), 1 (average), or 0 (poor) based on their compliance with each AHA LS7 guideline. The seven component scores were summed to create the global AHA LS7 score. T-tests, Fischer’s exact test and multivariable-adjusted regression models were used to evaluate associations between sleep and the global AHA LS7 score and its components. Results: The median global AHA LS7 score was 10; 31.3%, 33.3% and 35.3% of women had a score of 0-8 (poor), 9-10 (average), and 11-14 (optimal), respectively. Participants with sleep duration ≥7 hours, lack of insomnia and snoring, and low risk for OSA were more likely to meet ≥4 of the AHA LS7 metrics (p≤0.04). Those with sleep duration ≥7 hours, good sleep quality, no insomnia and snoring, and at low risk of OSA were more likely to meet the AHA LS7 optimal guideline for physical activity, BMI, BP, glucose, and cholesterol (p≤0.04). In multivariable-adjusted linear regression models, a lower global AHA LS7 score was associated with a higher Pittsburgh Sleep Quality Index, indicative of poorer sleep quality (β=-0.08, p=0.019), higher insomnia severity index (β=-0.05, p=0.027), and higher risk for OSA (β=-0.84, p=0.016). Conclusions: In this cohort of women, better sleep habits were associated with meeting the AHA LS7 guidelines. Our results warrant confirmation in larger prospective studies and within other population groups, but nonetheless highlight the potential importance of screening for sleep habits in conjunction with other lifestyle behaviors to identify those at risk of cardiovascular disease.

scholarly journals Weight Status, Adherence to the Mediterranean Diet, Physical Activity Level, and Sleep Behavior of Italian Junior High School Adolescents

Nutrients ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 478 ◽  
Author(s):  
Alice Rosi ◽  
Francesca Giopp ◽  
Giulia Milioli ◽  
Gabriele Melegari ◽  
Matteo Goldoni ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Mediterranean Diet ◽  
Sleep Duration ◽  
Physical Activity Level ◽  
Vigorous Physical Activity ◽  
Activity Level ◽  
Sleep Habits ◽  
Achievement Data ◽  
The Mediterranean

Inadequate diet, physical activity, and sleep-related behaviors are potential risk factors for overweight and obese, therefore we investigated the relations between body mass index (BMI) and behavioral factors in a sample of Italian adolescents. Four hundred nine Italian secondary school students (46% females, 12.5 ± 0.6 y.o.) were enrolled in this cross-sectional study. Anthropometric measures, adherence to the Mediterranean Diet (KIDMED), physical activity level (PAQ-C), sleep duration, daytime sleepiness (PDSS), sleep quality, and school achievement data were collected through an online questionnaire. The percentage of overweight adolescents was slightly lower (14%) compared to the regional and the national figures. Approximately 88% of the sample reported a medium/high adherence to the Mediterranean Diet and 77% a moderate/vigorous physical activity level. The average sleep duration was in line with the international sleep recommendation for adolescents and 82% had a medium/high sleep quality. No differences were found between genders except for BMI (lower in females). Unexpectedly, no differences were found among the BMI groups (normal weight vs. overweight vs. obese) for lifestyle variables; in contrast, Mediterranean Diet adherence was associated with sleep habits. Further investigation is required to better explore the associations among behavioral variables involved in adolescents’ healthy development.

scholarly journals Age and gender differences in objective sleep properties using large-scale body acceleration data in a Japanese population

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Li Li ◽  
Toru Nakamura ◽  
Junichiro Hayano ◽  
Yoshiharu Yamamoto
Keyword(s):  
Sleep Quality ◽  
Large Scale ◽  
Sleep Onset ◽  
The Elderly ◽  
Sleep Habits ◽  
Age And Gender ◽  
Body Acceleration ◽  
Wake Time ◽  
Time In Bed ◽  
And Gender

AbstractUsing large-scale objective sleep data derived from body acceleration signals of 68,604 Japanese residents ranging from adolescents to the elderly (10–89 years old), we found significant age- and gender-related differences in sleep properties (timing, duration, and quality) in real-life settings. Time-in-bed and total sleep time (TST) showed a U-shaped association with age, indicating their decrease in adulthood following their increase in the elderly. There was a remarkable shift in sleep phase toward earlier bedtime and earlier wake time with increasing age (> 20 years), together with worsening of sleep quality, which is estimated by sleep efficiency (SE) and wake time after sleep onset. Gender comparisons showed that TST was shorter in women than in similarly aged men, which is much evident after the age of 30 years. This was associated with later bedtimes and greater age-related deterioration of sleep quality in women. Compared to men in the same age group, women over age 50 demonstrated a greater reduction in SE with aging, due mainly to increasing durations of nighttime awakening. These differences can be attributed to several intricately intertwined causes, including biological aging as well as socio-cultural and socio-familial factors in Japan. In conclusion, our findings provide valuable insights on the characteristics of Japanese sleep habits.

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