scholarly journals Investigating the within-person relationships between activity levels and sleep duration using Fitbit data

2020 ◽  
Author(s):  
Yue Liao ◽  
Michael C Robertson ◽  
Andrea Winne ◽  
Ivan H C Wu ◽  
Thuan A Le ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Duration ◽  
Daily Activity ◽  
Multilevel Models ◽  
Daily Basis ◽  
Activity Levels ◽  
Obese Adults ◽  
Reciprocal Relationships ◽  
Future Studies ◽  
Significant Relationships

Abstract The advancement of wearable technologies provides opportunities to continuously track individuals’ daily activity levels and sleep patterns over extended periods of time. These data are useful in examining the reciprocal relationships between physical activity and sleep at the intrapersonal level. The purpose of this study is to test the bidirectional relationships between daily activity levels and sleep duration. The current study analyzed activity and sleep data collected from a Fitbit device as part of a 6 month employer-sponsored weight loss program. A total of 105 overweight/obese adults were included (92% female, 70% obese, and 44% Hispanic). Multilevel models were used to examine (a) whether daily active and sedentary minutes predicted that night’s sleep duration and (b) whether sleep duration predicted active and sedentary minutes the following day. Potential extended effects were explored by using a 2 day average of the activity minutes/sleep duration as the predictor. No significant relationships between active minutes and sleep duration were found on a daily basis. However, having less sleep over two nights than one’s usual level was associated with an increased likelihood of engaging in some physical activity the following day. There was a significant bidirectional negative association between sedentary minutes and sleep duration for both the daily and 2 day models. Data from wearable trackers, such as Fitbit, can be used to investigate the daily within-person relationship between activity levels and sleep duration. Future studies should investigate other sleep metrics that may be obtained from wearable trackers, as well as potential moderators and mediators of daily activity levels and sleep.

scholarly journals Later sleep timing predicts accelerated summer weight gain among elementary school children: a prospective observational study

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Jennette P. Moreno ◽  
Javad Razjouyan ◽  
Houston Lester ◽  
Hafza Dadabhoy ◽  
Mona Amirmazaheri ◽  
...  
Keyword(s):  
Physical Activity ◽  
Observational Study ◽  
Sleep Duration ◽  
Obesity Prevention ◽  
Prospective Observational Study ◽  
Light Exposure ◽  
Activity Level ◽  
Activity Levels ◽  
School Year ◽  
Children’S Sleep

Abstract Objectives and background Social demands of the school-year and summer environment may affect children’s sleep patterns and circadian rhythms during these periods. The current study examined differences in children’s sleep and circadian-related behaviors during the school-year and summer and explored the association between sleep and circadian parameters and change in body mass index (BMI) during these time periods. Methods This was a prospective observational study with 119 children ages 5 to 8 years with three sequential BMI assessments: early school-year (fall), late school-year (spring), and beginning of the following school-year in Houston, Texas, USA. Sleep midpoint, sleep duration, variability of sleep midpoint, physical activity, and light exposure were estimated using wrist-worn accelerometry during the school-year (fall) and summer. To examine the effect of sleep parameters, physical activity level, and light exposure on change in BMI, growth curve modeling was conducted controlling for age, race, sex, and chronotype. Results Children’s sleep midpoint shifted later by an average of 1.5 h during summer compared to the school-year. After controlling for covariates, later sleep midpoints predicted larger increases in BMI during summer, (γ = .0004, p = .03), but not during the school-year. Sleep duration, sleep midpoint variability, physical activity levels, and sedentary behavior were not associated with change in BMI during the school-year or summer. Females tended to increase their BMI at a faster rate during summer compared to males, γ = .06, p = .049. Greater amounts of outdoor light exposure (γ = −.01, p = .02) predicted smaller increases in school-year BMI. Conclusions Obesity prevention interventions may need to target different behaviors depending on whether children are in or out of school. Promotion of outdoor time during the school-year and earlier sleep times during the summer may be effective obesity prevention strategies during these respective times.

scholarly journals Exploring activity levels in physical education lessons in the UK: a cross-sectional examination of activity types and fitness levels

2021 ◽  
Vol 7 (1) ◽  
pp. e000924
Author(s):  
Nick Beale ◽  
Emma Eldridge ◽  
Anne Delextrat ◽  
Patrick Esser ◽  
Oliver Bushnell ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Education ◽  
Multilevel Models ◽  
Activity Levels ◽  
Cross Sectional ◽  
Registration Number ◽  
Global Norms ◽  
Cross Sectional Design ◽  
The Uk ◽  
Fitness Levels

ObjectivesTo establish pupil fitness levels, and the relationship to global norms and physical education (PE) enjoyment. To measure and describe physical activity (PA) levels during secondary school PE lessons, in the context of recommended levels, and how levels vary with activity and lesson type.MethodsA cross-sectional design; 10 697 pupils aged 12.5 (SD 0.30) years; pupils who completed a multistage fitness test and wore accelerometers to measure PA during PE lessons. Multilevel models estimated fitness and PE activity levels, accounting for school and class-level clustering.ResultsCardiorespiratory fitness was higher in boys than girls (ß=−0.48; 95% CI −0.56 to −0.39, p<0.001), within absolute terms 51% of boys and 54% of girls above the 50th percentile of global norms. On average, pupils spent 23.8% of PE lessons in moderate-to-vigorous PA (MVPA), and 7.1% in vigorous PA (VPA). Fitness-focused lessons recorded most VPA in co-educational (ß=1.09; 95% CI 0.43 to 1.74) and boys-only lessons (ß=0.32; 95% CI −0.21 to 0.85). In girls-only lessons, track athletics recorded most VPA (ß=0.13; 95% CI −0.50 to 0.75) and net/wall/racket games (ß=0.97; 95% CI 0.12 to 1.82) the most MVPA. For all lesson types, field athletics was least active (ß=−0.85; 95% CI −1.33 to −0.36). There was a relationship of enjoyment of PE to fitness (ß=1.03; 95% CI 0.83 to 1.23), and this relationship did not vary with sex (ß=−0.14 to 0.23; 95% CI −0.16 to 0.60).ConclusionsPE lessons were inactive compared with current guidelines. We propose that if we are to continue to develop a range of sporting skills in schools at the same time as increasing levels of fitness and PA, there is a need to introduce additional sessions of PE activity focused on increasing physical activity.Trial registration numberNCT03286725.

The utility of assessing physical activity in ovarian cancer patients following chemotherapy

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 19666-19666 ◽  
Author(s):  
K. Zakashansky ◽  
S. Higgins ◽  
G. Montgomery ◽  
P. Dottino ◽  
D. Bovbjerg
Keyword(s):  
Physical Activity ◽  
Ovarian Cancer ◽  
Cancer Patients ◽  
Daily Activity ◽  
Objective Assessment ◽  
Gynecologic Cancer ◽  
Control Sample ◽  
Activity Levels ◽  
Chemotherapy Treatment ◽  
Comparison Results

19666 Objective: The purpose of this preliminary study was to explore the utility of objective assessments of physical activity for investigating the patterns and predictors of reduced physical activity levels in patients receiving standard chemotherapy for ovarian cancer. Methods: Ovarian cancer patients receiving standard regimens of Taxol/Carboplatin chemotherapy (n=9) were recruited prior to their treatment infusion. After signing informed consent, they completed the 20-item Center for Epidemiologic Studies Depression Scale (CESD); post treatment daily activity levels were assessed with a wrist watch-sized, water proof, omnidirectional, actigraphy monitor (Actiwatch-64, Mini Mitter, Bend, OR) worn on the nondominant wrist for the three weeks between treatment cycles. Identical actigraphy data were collected on a sample of healthy female staff (n=9) over a 1 week interval to provide a benchmark for comparison. Results: As expected, waking activity levels in the control sample showed no significant changes across days (p=0.41), so mean levels (343.45 counts) and 95% confidence intervals were calculated for comparison purposes. Chemotherapy patients had significantly lower levels of activity, as well as evidence of recovering physical activity over the 21 days following treatment (p=0.01). Interestingly, the subset (n=4) of patients with higher levels of pretreatment depression (Hi-CESD) did not show significant recovery in physical activity while the Lo-CESD subgroup showed substantial recovery (p=0.001). Conclusions: Objective assessment of physical activity in ovarian cancer patients following chemotherapy treatment reveals significant reduction in activity levels, and a failure to recover in patients with higher levels of pretreatment depression. Actigraphy of daily activity levels may provide a sensitive means of quantifying reductions in physical activity and recovery patterns following chemotherapy treatment for gynecologic cancer. No significant financial relationships to disclose.

Trajectories of Physical Activity in Montreal Adolescents From Age 12 to 17 Years

2012 ◽  
Vol 9 (8) ◽  
pp. 1146-1154 ◽  
Author(s):  
Kellie A. Langlois ◽  
Nicholas Birkett ◽  
Rochelle Garner ◽  
Jennifer O’Loughlin
Keyword(s):  
Physical Activity ◽  
Multilevel Models ◽  
Growth Models ◽  
Individual Growth ◽  
Activity Levels ◽  
Adolescent Physical Activity ◽  
Physical Activity Levels ◽  
Males And Females ◽  
Cubic Function ◽  
Physical Activity Recall

Background:Despite the benefits of physical activity, many Canadian adolescents are inactive and rates of inactivity increase with age. Few studies describe the pattern of change in physical activity as a function of age during adolescence.Methods:Data were drawn from the Nicotine Dependence in Teens Study. The analytic sample included 1206 adolescents who completed a 7-day physical activity recall up to 4 times per year over 5 years. Individual growth models, analyzed using multilevel models for change, were developed separately by sex controlling for season.Results:Physical activity levels through adolescence were best described by a cubic function. Levels increased from age 12 to a peak at approximately age 13.5, decreased to age 16.5, and increased again to age 17. Activity participation was highest in the spring and lowest during fall and winter. Substantial within- and between-subject heterogeneity in the trajectories was evident.Conclusion:Adolescent physical activity follows a complex, curvilinear pattern in both males and females, with considerable variation within- and between-persons.

scholarly journals Exercise prescription improves exercise tolerance in young children with CHD: a randomised clinical trial

Open Heart ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. e001599
Author(s):  
Sinead Callaghan ◽  
Margaret Louise Morrison ◽  
Pascal P McKeown ◽  
Christopher Tennyson ◽  
Andrew J Sands ◽  
...  
Keyword(s):  
Physical Activity ◽  
Young Children ◽  
Daily Activity ◽  
Exercise Tolerance ◽  
Intervention Group ◽  
Peak Exercise ◽  
Activity Levels ◽  
Intervention Programme ◽  
Physical Activity Levels ◽  
Structured Intervention

ObjectiveThe main objective of this study was to ascertain if a structured intervention programme can improve the biophysical health of young children with congenital heart disease (CHD). The primary end point was an increase in measureable physical activity levels following the intervention.MethodsPatients aged 5–10 years with CHD were identified and invited to participate. Participants completed a baseline biophysical assessment, including a formal exercise stress test and daily activity monitoring using an accelerometer. Following randomisation, the intervention group attended a 1 day education session and received an individual written exercise plan to be continued over the 4-month intervention period. The control group continued with their usual level of care. After 4 months, all participants were reassessed in the same manner as at baseline.ResultsOne hundred and sixty-three participants (mean age 8.4 years) were recruited, 100 of whom were male (61.3%). At baseline, the majority of the children were active with good exercise tolerance. The cyanotic palliated subgroup participants, however, were found to have lower levels of daily activity and significantly limited peak exercise performance compared with the other subgroups. One hundred and fifty-two participants (93.2%) attended for reassessment. Following the intervention, there was a significant improvement in peak exercise capacity in the intervention group. There was also a trend towards increased daily activity levels.ConclusionOverall physical activity levels are well preserved in the majority of young children with CHD. A structured intervention programme significantly increased peak exercise capacity and improved attitudes towards positive lifestyle changes.

scholarly journals Socioeconomic Status of The Place of Residence As A Determinant of Physical Activity of Youths

GYMNASIUM ◽  
2019 ◽  
Vol XX (1) ◽  
pp. 88
Author(s):  
Lenka Tlučáková ◽  
Terézia Kovalik-Slančová ◽  
Pavol Čech ◽  
Jaromír Sedláček ◽  
Tibor Klaček
Keyword(s):  
Physical Activity ◽  
Slovak Republic ◽  
Rank Correlation ◽  
Activity Levels ◽  
Socioeconomic Characteristics ◽  
Spearman’S Rank Correlation ◽  
Significant Relationships ◽  
Spearman’S Rank Correlation Coefficient ◽  
The Relationship ◽  
Multiple Health

Physical activity performed at recommended levels is associated with multiple health benefits. The aim of the study is to describe the relationship between socioeconomic characteristics (SES) of the environment and the volume of physical activity performed by youths. The research group consisted of 159 participants (100 women, 59 men) aged 15, living in the Prešov region. Physical activity levels were assessed using the international physical activity questionnaire IPAQ (long version). The SES of districts in the Prešov region was assessed based on the data available in databases of the Statistical Office of the Slovak Republic. The presented study was supported by VEGA 1/0840/17 project. The relationship between socioeconomic characteristics of the environment and volume of physical activity was examined using the Spearman’s rank correlation coefficient. The results did not reveal any significant relationships between SES and the volume of physical activity practiced by the monitored group of population.

scholarly journals THE EFFECT OF PHYSICAL ACTIVITY ON THE RISK OF OBESITY IN ADULTHOOD

2019 ◽  
Vol 14 (1) ◽  
pp. 104
Author(s):  
Rivan Virlando Suryadinata ◽  
Devitya Angielevi Sukarno
Keyword(s):  
Physical Activity ◽  
Activity Levels ◽  
Age Group ◽  
Obese Adults ◽  
Obese People ◽  
Adult Age ◽  
Significant Difference ◽  
Global Physical Activity Questionnaire ◽  
Medium Activity ◽  
Activity Questionnaire

Indonesia has an increasing number of obese people every year. Risk factors and complications caused by obesity can increase morbidity and mortality in the community. One of factors causing the increasing number of obese people is caused by the decreasing level of physical activities done by Indonesian people.This study aims to determine the effect of physical activity levels on the risk of obesity. The study used an observational analytic case control design. Subjects were chosen through a purposive sampling method. The population was young adults in Surabaya. The sample of the study included 97 obese adults and 97 non-obese adults. The study was conducted in March - July 2018 in South Surabaya through distributing questionnaires to two groups. The questionnaire given used the Global Physical Activity Questionnaire (GPAQ). The results showed that physical activity performed by adult age group of obesity was mostly classified as low activity (59,8%), while non-obese adult age group was mostly included in medium activity (56,6%).This shows a significant difference in physical activity between obese and non-obese groups (p=0,047). It can be concluded that decreased levels of physical activity may increase the risk of obesity in adult.

scholarly journals Habitual Physical Activity and Sleep Duration in Institutionalized Older Adults

2021 ◽  
Vol 12 ◽  
Author(s):  
Oliver Vogel ◽  
Daniel Niederer ◽  
Jan Wilke ◽  
Inaam El-Rajab ◽  
Lutz Vogt
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Barthel Index ◽  
Health Knowledge ◽  
Bed Rest ◽  
Cross Sectional Study ◽  
Activity Levels ◽  
Cross Sectional

Background: Physical activity and sleep quality are both major factors for improving one's health. Knowledge on the interactions of sleep quality and the amount of physical activity may be helpful for implementing multimodal health interventions in older adults.Methods: This preliminary cross-sectional study is based on 64 participants [82.1 ± 6.4 years (MD ± SD); 22 male: 42 female]. The amount of physical activity was assessed by means of an accelerometer (MyWellness Key). Self-reported sleep parameters were obtained using the Pittsburgh Sleep Quality Index. The Barthel Index was used for physical disability rating. Bivariate correlations (Spearman's Rho) were used to explore relationships between the amount of physical activity and sleep quality. To analyse differences between categorial subgroups univariate ANOVAs were applied; in cases of significance, these were followed by Tukey-HSD post-hoc analyses.Results: No linear association between physical activity and sleep quality was found (r = 0.119; p &gt; 0.05). In subgroup analyses (n = 41, Barthel Index ≥90 pts, free of pre-existing conditions), physical activity levels differed significantly between groups of different sleep duration (≥7 h; ≥6 to &lt;7 h; ≥5 to &lt;6 h; &lt;5h; p = 0.037).Conclusion: There is no general association between higher activity levels and better sleep quality in the investigated cohort. However, a sleep duration of ≥5 to &lt;6 h, corresponding to 7.6 h bed rest time, was associated with a higher level of physical activity.

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