scholarly journals Temporal and bidirectional associations between physical activity and sleep in primary school-aged children

2017 ◽  
Vol 42 (3) ◽  
pp. 238-242 ◽  
Author(s):  
Grace E. Vincent ◽  
Lisa M. Barnett ◽  
David R. Lubans ◽  
Jo Salmon ◽  
Anna Timperio ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Total Sleep Time ◽  
Sleep Time ◽  
School Aged Children ◽  
Time In Bed ◽  
Bidirectional Associations ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity ◽  
Activity Energy

The directionality of the relationship between children’s physical activity and sleep is unclear. This study examined the temporal and bidirectional associations between objectively measured physical activity, energy expenditure, and sleep in primary school-aged children. A subgroup of children (n = 65, aged 8–11 years) from the Fitness, Activity and Skills Testing Study conducted in Melbourne, Australia, had their sleep and physical activity assessed using the SenseWear Pro Armband for 8 consecutive days. Outcome measures included time spent in light-intensity physical activiy (LPA), moderate- to vigorous-intensity physical activity (MVPA), activity energy expenditure (AEE), time in bed, total sleep time, and sleep efficiency. Multilevel analyses were conducted using generalized linear latent mixed models to determine whether physical activity on 1 day was associated with sleep outcomes that night, and whether sleep during 1 night was associated with physical activity the following day. No significant associations were observed between time in bed, total sleep time, and sleep efficiency with LPA, MVPA, and AEE in either direction. This study found no temporal or bidirectional associations between objectively measured physical activity, AEE, and sleep. Future research is needed to understand other sleep dimensions that may impact on or be influenced by physical activity to provide potential intervention targets to improve these outcomes.

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.

scholarly journals Sleep and Physical Activity Patterns in Urban American Indian Children

2020 ◽  
Vol 44 (1) ◽  
pp. 67-75
Author(s):  
Vernon M. Grant ◽  
Emily J. Tomayko ◽  
Raymond D. Kingfisher
Keyword(s):  
Physical Activity ◽  
American Indian ◽  
Screen Time ◽  
Total Sleep Time ◽  
Activity Patterns ◽  
Sleep Time ◽  
Indian Children ◽  
Time In Bed ◽  
Prevention Interventions ◽  
Urban American Indian

Objectives: In this study, we examined patterns of obesity, physical activity (PA), sleep, and screen time in urban American Indian (AI) youth in the 6th-8th grade. Methods: A youth sample (N = 36) from 3 middle schools was recruited to participate in this observational sample of convenience. Youth completed a demographic and screen time survey, measurements of height and weight, and wore a wrist accelerometer continuously for 7 days to assess PA and sleep. Results: Approximately 42% of participants were overweight or obese. Average weekday screen time was 254.7±98.1 minutes. Compared to weekdays, weekend sedentary activity increased (weekday, 159.2±81.1 minutes vs weekend, 204.3±91.7 minutes; p = .03) and vigorous PA (weekday, 20.9±19.1 minutes vs weekend, 5.7±8.1 minutes; p = .0001) and moderate-to-vigorous PA (weekday, 192.65±62.3 minutes vs weekend, 141±71.7 minutes; p = .002) decreased. Compared to weekdays, weekend total sleep time (weekday, 512.8±48.6 minutes vs weekend, 555.3±84.3 minutes; p = .007) and time in bed (weekday, 487.3±49.6 minutes vs weekend, 528.6±71.2 minutes; p = .01) increased. Conclusions: Weekday to weekend shifts in PA and sleep must be considered when designing targeted obesity prevention interventions.

scholarly journals Objectively-measured physical activity patterns and longitudinal weight category status in a rural setting

2019 ◽  
Author(s):  
Ian Cook
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Weight Gain ◽  
Energy Expenditure ◽  
Body Mass ◽  
Weight Change ◽  
Rural Setting ◽  
Stable Group ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

Abstract Objectives To investigate the relationship between longitudinal weight-change and objectively-measured physical activity in a rural African setting in 143 adults, using data from two cross-sectional surveys, separated by approximately ten years. Participants who had data for age, sex, body mass and stature measured in two health surveys were categorised into three weight-change groups (Weight-loss: ≥25 kg.m-2→<25 kg.m-2; Weight-gain: <25 kg.m-2→≥25 kg.m-2; Weight-stability: remained <25 kg.m-2 or ≥25 kg.m-2). Daily ambulation and energy expenditure, measured in the 2005-7 health survey, was examined across the weight change groups. Using the daily energy expenditure data, the proportion of those in the weight-change groups, meeting or not meeting two physical activity guidelines (150- and 420 min.wk-1), was examined. Results Weight-change was found in 18.2% of the sample. There was no significant overall body mass change (+1.2 kg, p=0.1616). However, there was significant change in body mass in the weight-gain (+15.2 kg) and weight-loss (-10.8 kg) groups (p≤0.0011). Nearly 90% of those who gained weight met the 150 min.wk-1 guideline. A significantly greater proportion of the weight-stable group (<25 kg.m-2) met the 420 min.wk-1 guideline (p<0.05). Ambulatory level was high irrespective of weight group, although the weight-stable group (<25 kg.m-2) approached 15 000 steps.day-1.

scholarly journals The Associations of Objectively Measured Physical Activity and Sedentary Time with Cognitive Functions in School-Aged Children

PLoS ONE ◽  
2014 ◽  
Vol 9 (7) ◽  
pp. e103559 ◽  
Author(s):  
Heidi J. Syväoja ◽  
Tuija H. Tammelin ◽  
Timo Ahonen ◽  
Anna Kankaanpää ◽  
Marko T. Kantomaa
Keyword(s):  
Physical Activity ◽  
Cognitive Functions ◽  
Sedentary Time ◽  
School Aged Children ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

Relationships between Objectively Measured Physical Activity and Health Indicators in School-Aged Children and Youth

2016 ◽  
Vol 48 ◽  
pp. 235-236 ◽  
Author(s):  
Veronica J. Poitras ◽  
Casey E. Gray ◽  
Michael M. Borghese ◽  
Valerie Carson ◽  
Jean-Philippe Chaput ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Indicators ◽  
Children And Youth ◽  
School Aged Children ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

scholarly journals Bi-Directional, Day-to-Day Associations between Objectively-Measured Physical Activity, Sedentary Behavior and Sleep among Office Workers

2021 ◽  
Vol 18 (15) ◽  
pp. 7999
Author(s):  
Emerald G. Heiland ◽  
Örjan Ekblom ◽  
Emil Bojsen-Møller ◽  
Lisa-Marie Larisch ◽  
Victoria Blom ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Mixed Models ◽  
Vigorous Physical Activity ◽  
Sleep Time ◽  
Office Workers ◽  
Sedentary Behaviors ◽  
Physically Active ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

The bi-directional, day-to-day associations between daytime physical activity and sedentary behavior, and nocturnal sleep, in office workers are unknown. This study investigated these associations and whether they varied by weekday or weekend day. Among 324 Swedish office workers (mean age 42.4 years; 33.3% men), moderate-to-vigorous physical activity (MVPA), and sedentary behaviors and sleep (total sleep time (TST) and sleep efficiency (SE)) were ascertained by using accelerometers (Actigraph GT3X) over 8 days. Multilevel linear mixed models were used to assess the bi-directional, day-to-day, within-person associations. Additional analyses stratified by weekend/weekday were performed. On average, participants spent 6% (57 min) of their day in MVPA and 59% (9.5 h) sedentary, and during the night, TST was 7 hours, and SE was 91%. More daytime sedentary behavior was associated with less TST that night, and reciprocally, more TST at night was associated with less sedentary behavior on the following weekday. Greater TST during the night was also associated with less MVPA the next day, only on weekdays. However, daytime MVPA was not associated with TST that night. Higher nighttime SE was associated with greater time spent sedentary and in MVPA on the following day, regardless if weekday or weekend day. Sleep may be more crucial for being physically active the following day than vice versa, especially on weekdays. Nevertheless, sedentary behavior’s relation with sleep time may be bi-directional. Office workers may struggle with balancing sleep and physical activity time.

scholarly journals 0260 Association Between Free-Living Physical Activity and Sleep in Icelandic Adolescents

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A99-A99
Author(s):  
V Rognvaldsdottir ◽  
E Johannsson ◽  
H M Soffia ◽  
R S Stefansdottir ◽  
S A Arngrimsson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Total Sleep Time ◽  
Linear Regression Analysis ◽  
Sleep Onset ◽  
Sleep Time ◽  
Free Living ◽  
Negatively Associated ◽  
Significant Difference ◽  
Objectively Measured

Abstract Introduction Sleep and physical activity are both important to health, but the demands of our modern schedule often require individuals to choose one over the other. In adolescents, the association between objectively measured sleep and physical activity is not well established in the literature. The aim of current study was to assess associations between free-living and physical activity and sleep among 15-year-old adolescents. Methods Free-living physical activity and sleep were assessed with wrist-worn accelerometers, sleep diary, and questionnaires during a 7-day period including school days and non-school days in 270 (161 girls) adolescents (mean age 15.8±0.3y) in Reykjavik, Iceland. Linear regression analysis was used to explore the associations between objectively measured physical activity and sleep. T-test was used to determine if there is a significant difference in objectively measured sleep between those who reported sports or exercising &lt;6 versus ≥6 h/week. Results Weekly mean physical activity (2040±466 counts/min of wear/day) was negatively associated with total sleep time (6.6±0.64 h/night) (β±SE=-3.5±0.7, p&lt;0.001). However, physical activity was also negatively associated with minutes of wake after sleep onset on non-school days (p=0.047) and standard deviation (i.e. night-to-night variability) of total sleep time over the week (p=0.028). Subjects who reported exercising ≥6 h/week (n=116) had lower night-to-night variability in bedtime (41.2±27.9 min) than those who did not (49.8±37.5 min), p=0.033. Conclusion The negative association between physical activity and sleep duration suggests that in more active individuals’ physical activity may be displacing sleep. However, greater physical activity is also associated with fewer minutes of awakening and a less variable sleep schedule, indicating better sleep quality. These findings suggest that physical activity is important for good sleep quality, but students should more closely consider sleep guidelines when designing an exercise schedule. Future studies should test how change in sleep patterns might influence physical activity. Support Icelandic Centre for Research, National Institute of Diabetes and Digestive and Kidney Diseases.

scholarly journals Activity Energy Expenditure Predicts Clinical Average Levels of Physical Activity in Older Population: Results from Salus in Apulia Study

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4585 ◽  
Author(s):  
Ilaria Bortone ◽  
Fabio Castellana ◽  
Luisa Lampignano ◽  
Roberta Zupo ◽  
Biagio Moretti ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Structured Interview ◽  
Public Health Research ◽  
Population Based ◽  
Self Report ◽  
Activity Measurement ◽  
Objectively Measured ◽  
The Relationship ◽  
Activity Energy

Self-report questionnaires are a valuable method of physical activity measurement in public health research; however, accuracy is often lacking. Resolving the differences between self-reported and objectively measured physical activity is an important surveillance challenge currently facing population health experts. The present work aims at providing the relationship between activity energy expenditure estimated from wrist-worn accelerometers and intensity of self-reported physical activity (InCHIANTI structured interview questionnaire) in a sub-cohort of a population-based study on aging in Southern Italy. Linear regression was used to test the association between measured and reported physical activity. We found that activity energy expenditure predicted clinical average levels of PA assessed through InCHIANTI classification.

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