scholarly journals Active Transport, Not Device Use, Associates with Self-Reported School Week Physical Activity in Adolescents

2019 ◽  
Vol 9 (3) ◽  
pp. 32 ◽  
Author(s):  
Ryan Burns ◽  
Christopher Pfledderer ◽  
Timothy Brusseau
Keyword(s):  
Physical Activity ◽  
Active Transport ◽  
Electronic Device ◽  
Vigorous Physical Activity ◽  
Outcome Variable ◽  
Linear Regression Models ◽  
Web Based ◽  
School Week ◽  
Device Use ◽  
Youth Activity

The purpose of this study was to examine the relationships among active transport, electronic device-use, and self-reported school week moderate-to-vigorous physical activity (MVPA) in a sample of adolescents. The sample consisted of 1445 adolescents enrolled in the Family Life, Activity, Sun, Health, and Eating study. A panel research organization invited panel members balanced to the US population on sex, census division, household income and size, and race/ethnicity. Web-based surveys were administered to each selected adolescent. Adolescents answered questions pertaining to out-of-school electronic device-use and active transport to and from school. Predicted weekly minutes of MVPA were calculated from the Youth Activity Profile. The outcome variable was predicted school week MVPA (in minutes). The predictive utility of device-use and active transport variables on self-reported school week MVPA were examined using weighted multiple linear regression models. After adjusting for age, sex, and BMI, active transport to school (b = 12.32, 95% CI [9.72–14.93], p < 0.001) and from school (b = 7.18, 95% CI [4.79–5.57], p < 0.001) were significantly associated with self-reported school week MVPA. No device-use variables were significantly associated with school week MVPA. Active transport to and from school may have an impact on school week MVPA in adolescents.

scholarly journals “I am going out!” – lifestyle sports and physical activity in adolescents

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
K. Janeckova ◽  
Z. Hamrik ◽  
M. Matusova ◽  
P. Badura
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Sedentary Behaviour ◽  
Vigorous Physical Activity ◽  
Sociodemographic Factors ◽  
Linear Regression Models ◽  
Great Opportunity ◽  
Sport Activities ◽  
Lifestyle Activities ◽  
Out Of School

Abstract Background Lifestyle sport activities (e.g. parkour or skateboarding) are considered attractive and beneficial for a long-term commitment to physical activity (PA) and might be a great opportunity for adolescents who do not feel comfortable in an organized or competitive atmosphere. The purpose of the study was to assess whether participation in lifestyle activities is associated with moderate-to-vigorous physical activity (MVPA), out-of-school vigorous physical activity (VPA), and sedentary behaviour in adolescents aged 10–15 years, with major demographic variables (sex, age, socioeconomic status) being taken into account. Methods Data from a research project linked to the Health Behaviour in School-aged Children (HBSC) survey collected in 2017 in the Czech Republic was used. The sample consisted of 679 participants (303 of them girls) and was selected by quota sampling. Chi-square tests were used to assess differences in involvement in lifestyle activities according to sex, grade, and socioeconomic status. Ordinal and linear regression models were used to analyse the associations of participation in lifestyle activities and selected energy balance-related behaviours. Results Participation in lifestyle sport activities was significantly associated with a higher level of physical activity (MVPA and out-of-school VPA) after adjustment for sociodemographic factors, as was participation in organized sport. No significant associations were shown for sedentary behaviour. Conclusions Adolescents participating in lifestyle sport activities report being more physically active and, in case of doing multiple such activities concurrently, also spending less time sitting than their peers not involved in lifestyle sport activities. As such, lifestyle sport activities seem to represent a feasible way of increasing overall PA level in adolescent population.

Is Physical Activity-Related Self-Efficacy Associated with Moderate to Vigorous Physical Activity and Sedentary Behaviour among Ambulatory Children with Cerebral Palsy?

2021 ◽  
pp. e20200064
Author(s):  
Felipe Ganz ◽  
Virginia Wright ◽  
Patricia J. Manns ◽  
Lesley Pritchard
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Motor Function ◽  
Self Efficacy ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Linear Regression Models ◽  
Gross Motor ◽  
Gross Motor Function ◽  
Gmfcs Level

Purpose: To determine how physical activity-related self-efficacy is associated with physical activity and sedentary behaviour time among ambulatory children with cerebral palsy (CP). Method: Children with CP, Gross Motor Function Classification System (GMFCS) Levels I-III ( N = 26; aged 9–18 y), completed the task self-efficacy component of a self-efficacy scale and wore Actigraph GT3X+ accelerometers for 5 days. Correlations (Pearson and Spearman’s rank-order; a = 0.050) were conducted to evaluate the relationships among age, GMFCS level, self-efficacy, and both daily moderate-to-vigorous physical activity (MVPA) and sedentary time. Linear regression models were used to determine the relationships among the independent variables and MVPA and sedentary time. Results: Self-efficacy was positively associated with MVPA time ( r = 0.428, p = 0.015) and negatively correlated with sedentary time ( r = –0.332, p = 0.049). In our linear regression models, gross motor function (β = –0.462, p = 0.006), age (β = –0.344, p = 0.033), and self-efficacy (β = 0.281, p = 0.080) were associated with MVPA time ( R2 = 0.508), while GMFCS level (β = 0.439, p = 0.003) and age (β = 0.605, p < 0.001) were associated with sedentary time ( R2 = 0.584). Conclusions: This research suggests that self-efficacy, age, and gross motor function are associated with MVPA in children with CP. Additional research is needed to confirm these findings and further explore the influence of self-efficacy on sedentary behaviour.

scholarly journals Longitudinal Changes in Sitting Patterns, Physical Activity, and Health Outcomes in Adolescents

Children ◽  
2018 ◽  
Vol 6 (1) ◽  
pp. 2 ◽  
Author(s):  
Ana Contardo Ayala ◽  
Jo Salmon ◽  
David Dunstan ◽  
Lauren Arundell ◽  
Kate Parker ◽  
...  
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
Sitting Time ◽  
Linear Regression Models ◽  
Anthropometric Measures ◽  
Prolonged Sitting ◽  
Intensity Physical Activity ◽  
Changes Over Time

This study examined two-year changes in patterns of activity and associations with body mass index (BMI) and waist circumference (WC) among adolescents. Inclinometers (activPAL) assessed sitting, sitting bouts, standing, stepping, and breaks from sitting. ActiGraph-accelerometers assessed sedentary time (SED), light-intensity physical activity (LIPA, stratified as low- and high-LIPA), and moderate-to-vigorous physical activity (MVPA). Anthropometric measures were objectively assessed at baseline and self-reported at follow-up. Data from 324 and 67 participants were obtained at baseline and follow-up, respectively. Multilevel mixed-effects linear regression models examined changes over time, and associations between baseline values and BMI and WC at follow-up. There were significant increases in BMI (0.6 kg/m2) and durations of prolonged sitting (26.4 min/day) and SED (52 min/day), and significant decreases in stepping (−19 min/day), LIPA (−33 min/day), low-LIPA (−26 min/day), high-LIPA (−6.3 min/day), MVPA (−19 min/day), and the number of breaks/day (−8). High baseline sitting time was associated (p = 0.086) with higher BMI at follow-up. There were no significant associations between baseline sitting, prolonged sitting, LIPA, or MVPA with WC. Although changes in daily activity patterns were not in a favourable direction, there were no clear associations with BMI or WC. Research with larger sample sizes and more time points is needed.

scholarly journals Toward a Better Understanding of the Link Between Parent and Child Physical Activity Levels: The Moderating Role of Parental Encouragement

2015 ◽  
Vol 12 (9) ◽  
pp. 1238-1244 ◽  
Author(s):  
Eleanor B. Tate ◽  
Anuja Shah ◽  
Malia Jones ◽  
Mary Ann Pentz ◽  
Yue Liao ◽  
...  
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Physical Activity Promotion ◽  
Activity Levels ◽  
Linear Regression Models ◽  
Parental Encouragement ◽  
Activity Promotion ◽  
Objectively Measured ◽  
Moderating Role

Background:Research on adolescent physical activity is mixed regarding the role of parent activity. This study tested parent encouragement, direct modeling, and perceived influence as moderators of objectively-measured (accelerometer) parent and child moderate-to-vigorous physical activity (MVPA) associations.Methods:Parent-child dyads (n = 423; mean child age = 11.33 yrs.) wore accelerometers for 7 days; parents completed surveys. Hierarchical linear regression models tested moderation using a product of constituent terms interaction.Results:Parent-reported encouragement moderated the association between parent and child MVPA (β = –.15, P = .01, ΔR2 = .02, P < .01). Among parents with lower MVPA, child MVPA was higher for children receiving high encouragement (mean = 3.06, SE = .17) vs. low (mean = 3.03, SE = .15, P = .02) and moderate encouragement (mean = 3.40, SE = .09) vs. low (P = .04).Conclusions:Physical activity promotion programs may use parent encouragement as a tool to boost child activity, but must consider other child and parent characteristics that could attenuate effects.

scholarly journals A data-driven, meaningful, easy to interpret, population-independent accelerometer outcome variable for global surveillance

2019 ◽  
Author(s):  
Alex V. Rowlands ◽  
Lauren B. Sherar ◽  
Stuart J. Fairclough ◽  
Tom Yates ◽  
Charlotte L. Edwardson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Secondary Data ◽  
Data Driven ◽  
Outcome Variable ◽  
Accelerometer Data ◽  
Physical Activity Guidelines ◽  
Menopausal Women ◽  
Post Menopausal

AbstractBackgroundAccelerometer-driven physical activity guidelines are not available, likely due to the lack of consensus on meaningful and interpretable accelerometer outcomes. The aim of this paper is to demonstrate how a data-driven accelerometer metric, the acceleration above which a person’s most active minutes are accumulated, can a) quantify the prevalence of meeting current physical activity guidelines for global surveillance and b) moving forward, could inform accelerometer-driven physical activity guidelines. Unlike cut-point methods, the metric is population-independent (e.g. age) and comparable across datasets.MethodsSecondary data analyses were carried out on five datasets using wrist-worn accelerometers: children (N=145), adolescent girls (N=1669), office workers (N=114), pre- (N=1218) and post- (N=1316) menopausal women, and adults with type 2 diabetes (N=475). Open-source software (GGIR) was used to generate the magnitude of acceleration above which a person’s most active 60, 30 and 2 minutes are accumulated: M60ACC; M30ACCand M2ACC, respectively.ResultsThe proportion of participants with M60ACC(children) and M30ACC(adults) values higher than accelerations indicative of brisk walking (i.e., moderate-to-vigorous physical activity) ranged from 17-68% in children and 15%-81% in adults, tending to decline with age. The proportion of pre-and post-menopausal women with M2ACCvalues indicative of running and thus meeting recently presented thresholds for bone health ranged from 6-13%.ConclusionThese metrics can be used for global surveillance of physical activity, including assessing prevalence of meeting the current physical activity guidelines, across the lifespan. Translation of acceleration magnitudes into indicative activities provides a public health friendly interpretation of results. As accelerometer and corresponding health data accumulate it will be possible to interpret the metrics relative to age- and sex-specific norms and derive evidence-based physical activity guidelines directly from accelerometer data for use in future global surveillance. This is where the key advantages of these metrics lie.

scholarly journals Parental-perceived home and neighborhood environmental correlates of accelerometer-measured physical activity among school-going children in Uganda

2021 ◽  
Vol 1 (12) ◽  
pp. e0000089
Author(s):  
Bernadette Nakabazzi ◽  
Lucy-Joy M. Wachira ◽  
Adewale L. Oyeyemi ◽  
Ronald Ssenyonga ◽  
Vincent O. Onywera
Keyword(s):  
Physical Activity ◽  
Public Schools ◽  
Low Income ◽  
Vigorous Physical Activity ◽  
Well Being ◽  
Low Income Countries ◽  
School Type ◽  
Linear Regression Models ◽  
Environmental Characteristics ◽  
Cross Sectional

The benefits of physical activity (PA) on children’s health and well-being are well established. However, many children do not meet the PA recommendations, increasing their risk of being overweight, obese, and non-communicable diseases. Environmental characteristics of homes and neighborhoods may constrain a child’s ability to engage in PA, but evidence is needed to inform country-specific interventions in understudied low-income countries. This study assessed the associations between parental-perceived home and neighbourhood, built environment characteristics, and moderate-to-vigorous physical activity (MVPA) among children in Kampala city, Uganda. In this cross-sectional study, data were obtained from 256 children (55.5% girls) aged between 10 and 12 years and their parents. Children’s MVPA was measured using waist-worn ActiGraph accelerometers. The environments were assessed using a valid self-reported parent survey. Linear regression models with standard errors (clusters) were used to analyze the relationship between environmental variables and children’s MVPA. Sex-specific relationships were assessed using sex-stratified models. Play equipment at home (β = -2.37, p <0.001; unexpected direction), residential density (β = 2.70, p<0.05), and crime safety (β = -5.29, p <0.05; unexpected direction) were associated with children’s MVPA. The sex-specific analyses revealed more inconsistent patterns of results with a higher perception of land use mix associated with less MVPA in girls (irrespective of school type attended), and higher perceptions of sidewalk infrastructure (β = -12.01, p <0.05) and walking and cycling infrastructure (β = -14.72, p <0.05) associated with less MVPA in girls attending public schools only. A better perception of crime safety was associated with less MVPA among boys and girls attending private schools (β = -3.80, p <0.05). Few environmental characteristics were related to children’s MVPA in Uganda, and findings were largely inconsistent, especially among girls. Future studies are needed to understand the ecological determinants of health-related PA behaviors among children in Uganda.

Validation of a web-based, time-use application to assess children’s movement behaviours: My E-Diary for Activities and Lifestyle (MEDAL) (Preprint)

2021 ◽  
Author(s):  
Sarah Yi Xuan Tan ◽  
Airu Chia ◽  
Bee Choo Tai ◽  
Padmapriya Natarajan ◽  
Claire Marie Jie Lin Goh ◽  
...  
Keyword(s):  
Physical Activity ◽  
Correlation Coefficient ◽  
Time Use ◽  
Vigorous Physical Activity ◽  
Intraclass Correlation ◽  
Movement Behaviour ◽  
Night Sleep ◽  
Web Based ◽  
Self Reports ◽  
Measured Time

BACKGROUND Existing modes of collecting self-reported 24-hour movement information from children, including digital assessments, have not been demonstrated to be of acceptable validity when compared to objective measurements. My E-Diary for Activities and Lifestyle (MEDAL) is an interactive web-based diary developed to collect time-use information from children aged 10 years and older. OBJECTIVE This study compared self-reported and accelerometer-measured time spent in movement behaviour among children in Singapore aged 10–11 years. METHODS Participants recorded their daily activities using MEDAL over two specified weekdays and two weekend days, and wore an Actigraph accelerometer on their non-dominant wrist throughout the study to objectively assess movement behaviours. Spearman correlation coefficient and intraclass correlation coefficient were used to compare the accelerometer measurements and self-reports for each movement behaviour. Bland-Altman plots were generated to investigate trends of bias in the self-reports. RESULTS Among the participants aged 10-11 years (n=49, 59% boys), we observed that children reported lower light physical activity (LPA), and higher moderate-to-vigorous physical activity (MVPA), inactivity and night sleep than accelerometer-measured. There was moderate to strong correlation between self-reported and accelerometer-measured MVPA (r=0.37, 95% CI 0.20–0.54), inactivity (r=0.36, 95% CI 0.18–0.54) and night sleep (r=0.58, 95% CI 0.43–0.74); the correlation for LPA was poor (r=0.19, 95% CI 0.02–0.36). Agreement was poor for all behaviours (MVPA ICC 0.24, 95% CI 0.07–0.40; LPA ICC=0.19, 95% CI 0.01–0.36; inactivity ICC=0.29, 95% CI 0.11–0.44; night sleep ICC=0.45, 95% CI 0.29–0.58). There was stronger correlation and agreement on weekdays for inactivity and night sleep; conversely, there was stronger correlation and agreement for MVPA and LPA on weekend days. Finally, we observed that with increasing MVPA, children tended to report higher MVPA than accelerometer measurements. There were no clear trends for the other behaviours. CONCLUSIONS MEDAL may be used to assess movement behaviours of children. Based on self-reports, the children are able to estimate their time spent in MVPA, inactivity and night sleep, although actual time spent in these behaviours may differ from accelerometer-derived estimates; self-reported LPA warrant cautious interpretation. Observable differences in reporting accuracy exist between weekdays and weekend days.

scholarly journals Moderate to vigorous physical activity and impact loading independently predict variance in bone strength at the tibia but not at the radius in children

2019 ◽  
Vol 44 (3) ◽  
pp. 326-331 ◽  
Author(s):  
Anthony M. Kehrig ◽  
Kelsey M. Björkman ◽  
Nazeem Muhajarine ◽  
James D. Johnston ◽  
Saija A. Kontulainen
Keyword(s):  
Physical Activity ◽  
Bone Strength ◽  
Vigorous Physical Activity ◽  
Quantitative Computed Tomography ◽  
Peripheral Quantitative Computed Tomography ◽  
Children And Youth ◽  
Strength Development ◽  
Linear Regression Models ◽  
Muscle Area ◽  
Objective Recording

The objectives of this study were (i) to assess whether daily minutes of moderate to vigorous physical activity (MVPA) or vigorous physical activity (VPA) and impact counts (acceleration peaks ≥3.9g) independently predict variance in bone strength in children and youth and (ii) to estimate bone strength gain associated with increases in daily MVPA, VPA, or impact counts. We recorded 7-day activity of 49 participants (mean age 11.0 years, SD 1.7) using accelerometers and estimated radius and tibia bone strength using peripheral quantitative computed tomography. We used linear regression models adjusted for sex, body mass, and muscle area to address our objectives. Daily MVPA (mean 50 min, SD 23) and VPA (mean 17 min, SD 11) or impacts (mean 71 counts, SD 59) did not predict variance in radius strength. Daily VPA (β = 0.24) predicted variance in tibia strength at the distal and shaft sites, and shaft strength was also predicted by MVPA (β = 0.20) and impact counts (β = 0.21). Our models estimated a 3%–6%, 4%, or 4%–11% gain in tibia strength after increasing daily MVPA by 10–20 min, VPA by 5 min, or impacts by 30–100 counts, respectively. In conclusion, daily minutes of MVPA or VPA and impact counts are independent predictors of tibia but not radius strength. Objective recording of activities associated with forearm bone strength and trials testing the efficacy of increasing daily MVPA, VPA, and related impacts on bone strength development in children and youth are warranted.

scholarly journals Objectively Measured Sedentary Behavior, Physical Activity, and Cardiometabolic Risk in Hispanic Youth: Hispanic Community Health Study/Study of Latino Youth

2018 ◽  
Vol 103 (9) ◽  
pp. 3289-3298 ◽  
Author(s):  
Garrett Strizich ◽  
Robert C Kaplan ◽  
Daniela Sotres-Alvarez ◽  
Keith M Diaz ◽  
Amber L Daigre ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Cardiometabolic Risk ◽  
Vigorous Physical Activity ◽  
Latino Youth ◽  
Health Study ◽  
Accelerometer Data ◽  
Linear Regression Models ◽  
Plasminogen Activator Inhibitor 1 ◽  
Wear Time

Abstract Context Time spent in moderate-to-vigorous physical activity (MVPA), but not in sedentary behavior (SB), is related to cardiometabolic risk among non-Hispanic white youth. Objective Examine associations of SB and MVPA with cardiometabolic risk factors among Hispanic/Latino youth. Design Cross-sectional analysis. Setting Four US communities. Participants Hispanic/Latino youth (N = 1,426) ages 8 to 16 years. Measurements Associations of MVPA and SB, measured using 7-day accelerometer data (independent variables), with markers of glucose and lipid metabolism, inflammation, and endothelial function (dependent variables), were assessed in multivariable linear regression models while adjusting for sociodemographic characteristics and accelerometer wear time. Additional models controlled for obesity measures. Results SB comprised a mean (SD) of 75% (13%) of accelerometer wear time; mean (SD) time of MVPA was 35 min/d (22 min/d). Deleterious levels of high-density lipoprotein–cholesterol (HDL-C), triglycerides, insulin resistance, C-reactive protein, and plasminogen activator inhibitor-1 were associated with lower levels of MVPA and higher levels of SB (all P &lt; 0.05). Associations of MVPA with log-transformed triglyceride concentrations (β per 15-min/d increment, −0.039; SE, 0.018; P = 0.037) and SB with HDL-C (β per 30-min/d increment, −0.63; SE, 0.26; P = 0.018), but not those with other markers, remained significant after adjusting for MVPA or SB and further adjustment for body mass index and waist circumference. Higher SB tertiles were associated with lower soluble receptor for advanced glycation end products in fully adjusted models (P for trend = 0.037). Conclusions Physiological precursors of diabetes and cardiovascular disease were associated with MVPA and SB among US Hispanic/Latino youth, a group that bears a disproportionate burden of metabolic disorders.

scholarly journals The Place of Physical Activity in the Time Budgets of 10- to 13-Year-Old Australian Children

2011 ◽  
Vol 8 (4) ◽  
pp. 548-557 ◽  
Author(s):  
Tim Olds ◽  
Carol Ann Maher ◽  
Kate Ridley
Keyword(s):  
Physical Activity ◽  
Observational Study ◽  
Active Transport ◽  
Screen Time ◽  
Time Distribution ◽  
Vigorous Physical Activity ◽  
After School ◽  
Time Budgets ◽  
School Period ◽  
Unstructured Play

Background:Low physical activity has been associated with increased fatness and deceased fitness. This observational study aimed to describe the magnitude, composition, and time-distribution of moderate-to-vigorous physical activity (MVPA) in Australian children.Methods:A total of 1132 10 to 13 year old schoolchildren completed a 24-h activity recall diary on 2 to 4 occasions. MVPA was defined as any activity requiring ≥3METs, including sport, play, active transport, chores, and other activities.Results:MVPA was higher in boys than girls (173 vs 140 min/day; P < .0001), higher on nonschool days than school days (166 vs 143 min/day; P < .0001), and decreased with age (9 min/day per year of age). MVPA consisted of structured sport (37%), active transport (26%), unstructured play (24%), and chores/miscellaneous activities (13%). Every hour of MVPA was associated with a reduction in screen time (26.5 min), non-screen-based sedentary pastimes (8 min), and sleep (5.5 min). The least active quartile of children were more likely to be girls (OR = 3.4), have higher screen time, and sleep more. From 4:00−6:30 PM on school days there were large differences in participation between high-active and low-active children.Conclusion:Findings suggest MVPA interventions should target girls, screen time and focus on the after-school period.

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