scholarly journals Is It Time We Stop Discouraging Evening Physical Activity? New Real-World Evidence From 150,000 Nights

2021 ◽  
Vol 9 ◽  
Author(s):  
Michal Kahn ◽  
Topi Korhonen ◽  
Leena Leinonen ◽  
Kaisu Martinmaki ◽  
Liisa Kuula ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Duration ◽  
Real World ◽  
Sleep Onset ◽  
Sleep Timing ◽  
Real World Evidence ◽  
The Hours ◽  
Meta Analyses ◽  
Objectively Measured ◽  
Nighttime Sleep

Professional and colloquial sleep hygiene guidelines advise against evening physical activity, despite meta-analyses of laboratory studies concluding that evening exercise does not impair sleep. This study is the first to investigate the association between objectively measured evening physical activity and sleep within a real-world big-data sample. A total of 153,154 nights from 12,638 individuals aged 18–60 years (M = 40.1 SD = 10.1; 44.5% female) were analyzed. Nighttime sleep and minutes of physical activity were assessed using Polar wearable devices for 14 consecutive days. Thirty minutes or more of moderate-to-near maximal physical activity during the 3 h before sleep onset were recorded in 12.4% of evenings, and were more frequent on weekdays than weekends (13.3 vs. 10.2% respectively, p < 0.001). Linear mixed modeling revealed that sleep efficiency was not significantly associated with evening physical activity, and that sleep duration was 3.4 min longer on average on nights following evenings in which participants engaged in 30 min or more of moderate-intense physical activity. Effects were found for sleep timing metrics, as evening physical activity was linked with earlier sleep onset and offset times (−13.7 and −9.3 min, respectively). Overall, these effects were greater– but still very small– on weekdays compared to weekends. The present study provides further evidence for the lack of meaningful links between sleep duration or quality and physical activity in the hours preceding sleep. Taken together with recent meta-analytic findings, these findings suggest that changes in public health recommendations are warranted regarding evening physical activity and its relation to sleep.

scholarly journals Associations between parent-reported and objectively measured sleep duration and timing in infants at age 6 months

SLEEP ◽  
2020 ◽  
Author(s):  
Mirja Quante ◽  
Benjamin Hong ◽  
Tayla von Ash ◽  
Xinting Yu ◽  
Emily R Kaplan ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Low Income ◽  
Sleep Onset ◽  
Sleep Diary ◽  
Study Cohort ◽  
Linear Regression Models ◽  
Night Sleep ◽  
Low Income Families ◽  
Objectively Measured ◽  
Nighttime Sleep

Abstract Study Objectives To compare the estimates of sleep duration and timing from survey, diary, and actigraphy in infants at age 6 months, overall and by select demographics and other factors. Methods In total, 314 infants participating in the Rise & SHINE (Sleep Health in Infancy & Early Childhood study) cohort in Boston, MA, USA, wore an actigraph on their left ankle for 7 days. Parents concurrently completed a sleep diary and the expanded version of the Brief Infant Sleep Questionnaire. Concordance between parent-reported and objective sleep estimates was assessed using Bland–Altman plots, Spearman’s rank correlations, intraclass correlations, and linear regression models. Results Mean infant age was 6.4 (0.6 SD) months; 51% were female and 42% were Non-Hispanic white. Mean total sleep duration using actigraphy was 526 (67 SD) minutes per night, 143 (42 SD) minutes per day, and 460 (100 SD) minutes during the longest nighttime sleep period. Relative to actigraphy, parent-completed survey and diary overestimated total day (by 29 and 31 minutes, respectively) and night sleep duration (67 and 43 minutes, respectively) and underestimated the longest sleep (58 minutes), with the highest agreement for sleep onset and offset timing (differences < 30 minutes). There was a tendency toward greater bias among short- and long-sleeping infants. Self-reporting bias for diary-measured longest nighttime sleep and total night sleep duration was higher in infants of parents reporting a problem with their baby’s night awakenings and in low-income families, respectively. Conclusions Our findings underscore the need to be cautious when comparing findings across studies using different sleep assessment methods.

scholarly journals 0222 The Association of Habitual Physical Activity with 24-Hour Sleep Outcomes in Preschoolers

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A86-A86
Author(s):  
C W St Laurent ◽  
R Spencer
Keyword(s):  
Physical Activity ◽  
Sleep Duration ◽  
Sleep Onset ◽  
Cross Sectional Study ◽  
Sleep Efficiency ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
Sleep Behavior ◽  
Percent Time ◽  
Nighttime Sleep

Abstract Introduction Sedentary behavior, physical activity (PA), and sleep are health behaviors that contribute significantly to overall and early childhood health. Although interactive relationships of these behaviors have been reported in adults and school-aged children, there is limited evidence that PA is associated with sleep using objective measures in younger children and findings have been mixed. The purpose of this study was to determine if objectively measured PA and sleep behavior outcomes are associated in preschoolers. Methods Participants (n=77, age: 4.34±177;0.91 years; 55.8% female) were included in this cross-sectional study. Actiwatch Spectrum monitors (wrist-worn, triaxial accelerometers) were worn 24-hours for 16-days to measure PA (total PA counts, sedentary time [ST], light PA, and moderate-to-vigorous PA [MVPA]) and sleep (24-hour, nighttime, and nap sleep duration, bedtime, wake after sleep onset [WASO], and sleep efficiency). Results Multiple linear regression models adjusted for age and wear time during wake periods indicated that greater MVPA was associated with less nighttime sleep duration (β=-3.48, p<0.001), less total 24-hour sleep duration (β=-3.38, p<0.001), and a later bedtime (β=0.07, p<0.001). Total PA counts were associated with less nighttime sleep duration (β=-0.0002, p=0.001), less total 24-hour sleep duration (β=-0.0002, p=0.001), and a later bedtime (β=4.83, p=0.001). Greater ST was associated with greater total 24-hour sleep duration (β=1.92, p=0.006) and an earlier bedtime (β=-0.36, p=0.02). Percent time spent in light PA was not associated with any sleep outcomes and no PA variables were associated with nap sleep duration, WASO, or sleep efficiency. Conclusion As these findings are in contrast to previous studies reporting null or beneficial associations, further analyses are warranted to examine potential mediators/effect modifiers (e.g., sleep timing, gender, body mass index, and socioeconomic status) and temporal relationships between these movement behaviors in young children. Support NIH R01 HL111695

scholarly journals Associations between objectively measured physical activity, sedentary behaviour and time in bed among 75+ community-dwelling Danish older adults

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Li-Tang Tsai ◽  
Eleanor Boyle ◽  
Jan C. Brønd ◽  
Gry Kock ◽  
Mathias Skjødt ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Sedentary Behaviour ◽  
Sleep Duration ◽  
Activity Level ◽  
Time In Bed ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity ◽  
Vector Magnitude

Abstract Background Older adults are recommended to sleep 7–8 h/day. Time in bed (TIB) differs from sleep duration and includes also the time of lying in bed without sleeping. Long TIB (≥9 h) are associated with self-reported sedentary behavior, but the association between objectively measured physical activity, sedentary behavior and TIB is unknown. Methods This study was based on cross-sectional analysis of the Healthy Ageing Network of Competence (HANC Study). Physical activity and sedentary behaviour were measured by a tri-axial accelerometer (ActiGraph) placed on the dominant wrist for 7 days. Sedentary behavior was classified as < 2303 counts per minute (cpm) in vector magnitude and physical activity intensities were categorized, as 2303–4999 and ≥ 5000 cpm in vector magnitude. TIB was recorded in self-reported diaries. Participants were categorized as UTIB (usually having TIB 7–9 h/night: ≥80% of measurement days), STIB (sometimes having TIB 7–9 h/night: 20–79% of measurement days), and RTIB (rarely having TIB 7–9 h/night: < 20% of measurement days). Multinominal regression models were used to calculate the relative risk ratios (RRR) of being RTIB and STIB by daily levels of physical activity and SB, with UTIB as the reference group. The models were adjusted for age, sex, average daily nap length and physical function. Results Three hundred and fourty-one older adults (median age 81 (IQR 5), 62% women) were included with median TIB of 8 h 21 min (1 h 10 min)/day, physical activity level of 2054 (864) CPM with 64 (15) % of waking hours in sedentary behavior. Those with average CPM within the highest tertile had a lower RRR (0.33 (0.15–0.71), p = 0.005) for being RTIB compared to those within the lowest tertile of average CPM. Accumulating physical activity in intensities 2303–4999 and ≥ 5000 cpm/day did not affect the RRR of being RTIB. RRR of being RTIB among highly sedentary participants (≥10 h/day of sedentary behavior) more than tripled compared to those who were less sedentary (3.21 (1.50–6.88), p = 0.003). Conclusions For older adults, being physically active and less sedentary was associated with being in bed for 7–9 h/night for most nights (≥80%). Future longitudinal studies are warranted to explore the causal relationship sbetween physical activity and sleep duration.

PP205 The Use Of Real-World Evidence To Support National Institute For Health And Care Excellence Medical Technology Submissions

2021 ◽  
Vol 37 (S1) ◽  
pp. 26-26
Author(s):  
Scott Gibson ◽  
Sita Saunders ◽  
Maximilian Blüher ◽  
Amanda Hansson Hedblom ◽  
Rafael Torrejon Torres ◽  
...  
Keyword(s):  
Decision Making ◽  
Real World ◽  
Trial Design ◽  
Clinical Evidence ◽  
Patient Characteristics ◽  
The United Kingdom ◽  
Real World Evidence ◽  
Guidance Documents ◽  
Meta Analyses ◽  
Positive Recommendation

IntroductionAlthough randomized controlled trials (RCTs) are recognized as providing the highest level of clinical evidence, few medical device RCTs are available due to underfunding or inherent challenges associated with trial design. This study examines the extent to which real-world evidence (RWE) supports the recommendations made by the National Institute for Health and Care Excellence Medical Technologies Evaluation Programme (MTEP).MethodsAll MTEP guidance documents published online prior to October 2020 were reviewed. The “case for adoption” recommendation, type of clinical data, and clinical critiques for each MTEP submission were extracted and categorized. RWE was defined as studies with neither blinding nor prospective selection or control of patient characteristics.ResultsOf the MTEP submissions reviewed, 34 of 45 (76%) received a positive recommendation. Independent of outcome, all submissions included RWE, but only 19 (42%) utilized RCT evidence (15 were recommended and four were not). Meta-analyses of RWE were used whenever possible. The most common clinical critiques in unsuccessful submissions were the following: (i) not generalizable to the United Kingdom National Health Service (NHS); (ii) low quality; (iii) likelihood of bias; (iv) trial design faults; (v) uncertain benefit; and (vi) evidence unrelated to scope.ConclusionsThis study suggests that while the use of RCTs has not always led to a positive recommendation, RWE can be valuable in decision-making. Evidence that is generalizable to the NHS, is related to the scope, and shows clear indication of benefit is more likely to positively influence MTEP decision-making.

Longitudinal association of actigraphy-assessed sleep with physical growth in the first 6 months of life

SLEEP ◽  
2021 ◽  
Author(s):  
Xiaoyu Li ◽  
Sebastien Haneuse ◽  
Michael Rueschman ◽  
Emily R Kaplan ◽  
Xinting Yu ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Sleep Onset ◽  
Specific Weight ◽  
Estimating Equation ◽  
Physical Growth ◽  
Term Infants ◽  
Rapid Changes ◽  
Wake Patterns ◽  
Longitudinal Association ◽  
Nighttime Sleep

Abstract Study Objectives Suboptimal sleep is associated with obesity and its sequelae in children and adults. However, few studies have examined the association between sleep and physical growth in infants who experience rapid changes in sleep/wake patterns. We examined the longitudinal association of changes in objectively assessed sleep/wake patterns with changes in growth between ages 1 and 6 months. Methods We studied 298 full-term infants in the longitudinal Rise & SHINE cohort study. Changes from 1 and 6 months in nighttime sleep duration, wake after sleep onset (WASO), and number of waking bouts ≥5 min were assessed using ankle actigraphy. Overweight was defined as age- and sex-specific weight for length ≥95th percentile. Generalized estimating equation analyses adjusted for infants′ and mothers′ characteristics. Results The mean (SD) birth weight was 3.4 (0.4) kg; 48.7% were boys. In multivariable adjusted models, each 1-h increase in nighttime sleep duration between months 1 and 6 was associated with a 26% decrease in the odds of overweight from 1 to 6 months (odds ratio [OR] = 0.74; 95% confidence interval [CI, 0.56, 0.98]). Each 1-unit decrease in number of waking bouts was associated with a 16% decrease in the odds of overweight (OR = 0.84; 95% CI [0.72, 0.98]). Changes in WASO were not associated with the odds of overweight. Conclusions Greater increases in nighttime sleep duration and more consolidation of nighttime sleep were associated with lower odds of overweight from 1 to 6 months. Adverse sleep patterns as early as infancy may contribute to excess adiposity.

Abstract P337: Adolescent Sleep is Associated With Physical Activity and Sedentary Behavior Patterns

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Jessica A Parascando ◽  
Fan He ◽  
Steriani Elavsky ◽  
Edward O Bixler ◽  
Julio Fernandez-Mendoza ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Sleep Duration ◽  
Sleep Quantity ◽  
Adolescent Population ◽  
Activity Measurements ◽  
Penn State ◽  
State Child ◽  
Objectively Measured ◽  
And Behavior

Introduction: A decrease in sleep quantity and quality is a growing concern in the adolescent population. Concurrently, an increase in physical inactivity has been shown to be related to numerous health consequences. There is a lack of literature on the relationship between sleep, physical activity (PA) and sedentary behavior (SB) in the adolescent population, particularly looking at night-to-night sleep irregularity. Hypothesis: We hypothesized that increased PA and decreased SB in both objective and subject modalities would be associated with greater habitual sleep duration (HSD) and lesser habitual sleep variability (HSV) in this adolescent population. Methods: Objective and subjective sleep and activity measurements were collected from 295 adolescents in the Penn State Child Cohort follow-up examination. Objectively-measured variables were obtained through 7 consecutive days of actigraphy collection. HSD was calculated as the average sleep duration across 7 nights, and HSV was calculated as the standard deviation (SD) of intra-individual sleep duration. Subjects with <5 nights of sleep data were excluded from analysis. Self-administered questionnaires were used to collect subjectively-measured sleep, PA, and SB data. The relationships between sleep and behavior measures were assessed using linear regressions. All models were adjusted for age, sex, race and BMI percentile. Results: On average, our sample was 16.8 years, 52% male, and 79% white. We found that higher SB was associated with shorter HSD. With one SD change in objectively-measured SB (1014 minutes), HSD is reduced by 16 (3.6) minutes (p<0.05). Although not statistically significant, subjective SB showed a similar pattern. Unexpectedly, both objective and subjective measures of increased PA were associated with shorter HSD. In terms of HSV, we found that higher subjective SB was associated with greater HSV; specifically, with one SD change in subjectively-measured SB (8.64 points), HSV increased by 0.011 (0.004) minutes. None of the PA measures were significantly associated with HSV. Conclusions: In conclusion, objectively-measured sleep patterns are related to physical activity/inactivity. Our results emphasize the need of future studies to systematically assess the inter-relationship of sleep and physical activity in this population.

scholarly journals Compliance with 24-h Movement Behaviour Guidelines among Belgian Pre-School Children: The ToyBox-Study

2018 ◽  
Vol 15 (10) ◽  
pp. 2171 ◽  
Author(s):  
Marieke De Craemer ◽  
Duncan McGregor ◽  
Odysseas Androutsos ◽  
Yannis Manios ◽  
Greet Cardon
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Sleep Duration ◽  
School Children ◽  
Screen Time ◽  
Complete Data ◽  
Total Physical Activity ◽  
Movement Behaviour ◽  
Objectively Measured

The 24-h day—containing physical activity, sedentary behaviour and sleep—in pre-school children has not yet been extensively investigated. The aim of the current study was to investigate pre-schoolers’ compliance with the 24-h movement behaviour guidelines (i.e., three hours/day total physical activity, a maximum of one hour/day of screen time and 10–13 h sleep/night). In total, 595 pre-schoolers (53.3% boys, mean age: 4.2 years) provided complete data for the three behaviours. Physical activity was objectively measured with accelerometers, while screen time and sleep were parent-reported through questionnaires. The proportion of pre-schoolers complying with the 24-h movement behaviour guidelines was calculated on weekdays and on weekend days. Low compliance rates were found: 10.1% on weekdays and only 4.3% on weekend days. The majority of pre-schoolers complied with the sleep duration guidelines (>90% on weekdays and weekend days), followed by the screen time guidelines (61% on weekdays and 28% on weekend days). The lowest compliance rates were found for physical activity (<20% on weekdays and weekend days). Overall, low percentages of pre-schoolers complying with the 24-h movement behaviour guidelines were found, and the lowest compliance was found for physical activity.

scholarly journals Association between objectively measured body composition, sleep parameters and physical activity in preschool children: a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e042669
Author(s):  
Justyna Wyszyńska ◽  
Piotr Matłosz ◽  
Muhammad Asif ◽  
Agnieszka Szybisty ◽  
Paweł Lenik ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Preschool Children ◽  
Muscle Mass ◽  
Sleep Duration ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Sleep Parameters ◽  
Objectively Measured

ObjectiveAssociations between self-reported sleep duration and obesity indices in children are well recognised; however, there are no studies on associations between objectively measured other sleep parameters and physical activity with body composition in preschoolers. Therefore, the aim of this study was to determine the associations between sleep parameters and moderate-to-vigorous physical activity (MVPA) with body composition indices in preschoolers using objective measures.DesignA cross-sectional study.ParticipantsThe study group consisted of 676 children aged 5–6 years, who were enrolled in kindergartens in the 2017/2018 school year.Outcome measuresSleep parameters and MVPA were measured using accelerometers for 7 days. Bioelectrical impedance analysis was used to estimate body composition.ResultsSleep duration and sleep efficiency were inversely associated with body fat percentage (BFP) (β=−0.013 and β from –0.311 to −0.359, respectively) and body mass index (BMI) (β from −0.005 to −0.006 and from −0.105 to –0.121, respectively), and directly associated with fat-free mass (FFM) (β from 0.010 to 0.011 and from 0.245 to 0.271, respectively) and muscle mass (β from 0.012 to 0.012 and from 0.277 to 0.307, respectively) in unadjusted and adjusted models. BFP was inversely associated with MVPA and positively associated with number of awakenings and sleep periods. Number of sleep periods was inversely associated with FFM, and positively with BMI and muscle mass. Correlation matrix indicated significant correlation between BFP, FFM and muscle mass with sleep duration, sleep efficiency, number of sleep periods and MVPA.ConclusionsPeriodic assessment of sleep parameters and MVPA in relation to body composition in preschool children may be considered, especially in those who are at risk for obesity.

scholarly journals Association between Physical Activity and Sleep Difficulties among Adolescents in Germany: The Role of Socioeconomic Status

2021 ◽  
Vol 18 (18) ◽  
pp. 9664
Author(s):  
Miriam Blume ◽  
Petra Rattay
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Sleep Duration ◽  
Adolescent Girls ◽  
Daytime Sleepiness ◽  
Sleep Onset ◽  
Adolescent Girls And Boys ◽  
Kiggs Study ◽  
Using Data ◽  
Sleep Difficulties

We examined sleep difficulties among adolescents in Germany and the association with physical activity (PA). Furthermore, we analyzed whether the association varied with the socioeconomic status (SES) among adolescent girls and boys in Germany. Using data from the German Health Interview Examination Survey for Children and Adolescents (KiGGS) study (Wave 2), 6599 adolescents aged 11 to 17 years were included in the analyses. We conducted sex-stratified logistic regression analyses. Dependent variables were unrecommended sleep duration (defined as a duration of sleep that does not meet the recommended duration), sleep-onset difficulties, trouble sleeping, and daytime sleepiness. Most adolescent girls and boys reported sleep difficulties. While no associations between PA and sleep difficulties were observed, a significant interaction between PA and SES was found for sleep duration in boys and daytime sleepiness in girls. Thus, adolescents with low SES had fewer sleep difficulties if they met the recommendation for PA, compared with those in other SES groups. In Germany, a large proportion of adolescents have sleep difficulties. We found that the experience of sleep difficulties varied according to PA, sex, and the family SES. Future sleep promotion programs should consider these differences.

Time for bed! Earlier sleep onset is associated with longer nighttime sleep duration during infancy

2020 ◽  
Vol 73 ◽  
pp. 238-245
Author(s):  
Elizabeth L. Adams ◽  
Jennifer S. Savage ◽  
Lindsay Master ◽  
Orfeu M. Buxton
Keyword(s):  
Sleep Duration ◽  
Sleep Onset ◽  
Nighttime Sleep
Sign in / Sign up

Export Citation Format

Share Document