scholarly journals Daily Physical Activity in Japanese Preschool Children Evaluated by Triaxial Accelerometry: The Relationship between Period of Engagement in Moderate-to-Vigorous Physical Activity and Daily Step Counts

2009 ◽  
Vol 28 (6) ◽  
pp. 283-288 ◽  
Author(s):  
Chiaki Tanaka ◽  
Shigeho Tanaka
Keyword(s):  
Physical Activity ◽  
Preschool Children ◽  
Vigorous Physical Activity ◽  
Daily Physical Activity ◽  
Daily Step ◽  
Step Counts ◽  
The Relationship

Comparison of Pedometer and Accelerometer Measures of Physical Activity in Preschool Children

2007 ◽  
Vol 19 (2) ◽  
pp. 205-214 ◽  
Author(s):  
Greet Cardon ◽  
Ilse De Bourdeaudhuij
Keyword(s):  
Physical Activity ◽  
Preschool Children ◽  
Vigorous Physical Activity ◽  
Step Count ◽  
Activity Levels ◽  
Accelerometer Data ◽  
Strongly Correlated ◽  
Daily Step ◽  
Step Counts ◽  
Daily Step Count

In this study, daily step counts were recorded for 4 consecutive days in 129 four- and five-year-old children. To compare daily Yamax Digiwalker step counts with minutes of engagement in moderate to vigorous physical activity (MVPA), concurrent accelerometer data were collected in a random subsample (n = 76). The average daily step count was 9,980 (± 2,605). Step counts and MVPA minutes were strongly correlated (r = .73, p < .001). The daily step count of 13,874, equating to 1-hr MVPA engagement, was reached by 8% of the children. Daily step counts in preschool children give valid information on physical activity levels—daily step counts in preschoolers are low.

A Pilot Study Comparing Pedometer Counts with Reported Physical Activity in Elementary Schoolchildren

2004 ◽  
Vol 16 (4) ◽  
pp. 355-367 ◽  
Author(s):  
Greet Cardon ◽  
Ilse De Bourdeaudhuij
Keyword(s):  
Physical Activity ◽  
Pilot Study ◽  
Vigorous Physical Activity ◽  
Step Count ◽  
Regression Equations ◽  
Moderate Correlation ◽  
Daily Step ◽  
Step Counts ◽  
Daily Step Count

In this study pedometer counts were recorded for 6 consecutive days for 92 children (mean age = 9.6 years; range 6.5–12.7) and were compared with the number of minutes per day in which the participants engaged in moderate-to-vigorous physical activity (MVPA). Diaries filled out with the assistance of one of the children’s parents were used to determine minutes of MVPA. The average daily step count was significantly higher in boys than in girls, although the average daily MVPA engagement in minutes did not vary significantly between genders. Based on the regression equations, 60 min of MVPA was equivalent to 15,340 step counts in boys, 11,317 step counts in girls, and 13,130 step counts when results for both genders were combined. A moderate correlation (r = .39, p < .001) was found between pedometer step counts and reported minutes of MVPA. According to the present study findings, however, predictions and promotion of daily MVPA engagement in children based on pedometer counts per day should be made with caution.

scholarly journals In-school and Out-of-school Physical Activity in Preschool Children

2016 ◽  
Vol 13 (6) ◽  
pp. 606-610 ◽  
Author(s):  
Jennifer R. O’Neill ◽  
Karin A. Pfeiffer ◽  
Marsha Dowda ◽  
Russell R. Pate
Keyword(s):  
Physical Activity ◽  
Preschool Children ◽  
Repeated Measures ◽  
Vigorous Physical Activity ◽  
Pearson Correlation ◽  
Full Sample ◽  
Repeated Measures Analysis ◽  
The Relationship ◽  
Children’S Physical Activity ◽  
Out Of School

Background:Little is known about the relationship between children’s physical activity (PA) in preschool (in-school) and outside of preschool (out-of-school). This study described this relationship.Methods:Participants were 341 children (4.6 ± 0.3 years) in 16 preschools. Accelerometers measured moderate-to-vigorous physical activity (MVPA) and total physical activity (TPA) in-school and out-of-school. In the full sample, Pearson correlation was used to describe associations between in-school and out-of-school PA. In addition, children were categorized as meeting or not meeting a PA guideline during school. MVPA and TPA were compared between the 2 groups and in-school and out-of-school using 2-way repeated-measures analysis of variance.Results:In the full sample, in-school and out-of-school PA were positively correlated for MVPA (r = .13, P = .02) and TPA (r = .15, P = .01). Children who met the guideline in-school remained comparably active out-of-school. However, those who did not meet the guideline were more active out-of-school than in-school. The groups were active at comparable levels while out-of-school. Identical patterns were seen for MVPA and TPA.Conclusions:Children’s in-school PA was positively associated with out-of-school PA. Children who did not meet the guideline in-school were more active out-of-school than in-school, suggesting preschool and classroom factors may reduce some children’s PA in-school.

Within-Person Dynamics of Older Adults’ Physical Activity, Sedentary Behavior, and Sit-to-Stand Transitions

2018 ◽  
Vol 1 (4) ◽  
pp. 159-164 ◽  
Author(s):  
Jaclyn P. Maher ◽  
David E. Conroy
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Multilevel Modeling ◽  
Daily Physical Activity ◽  
Daily Step ◽  
Step Counts ◽  
Sit To Stand ◽  
Naturally Occurring ◽  
Standing Up

This study evaluated how older adults’ daily physical activity covaries with naturally occurring variation in both the duration and patterning of daily sedentary behavior. Older adults (n = 95) wore activPAL3 monitors for 15 consecutive days. Multilevel modeling regressed daily step counts on the frequency of sit-to-stand transitions and the duration of sedentary behavior. At the person-level, older adults who sat less (b = −14.31, p < .001) and stood up more frequently (b = 41.08, p = .01) took more steps on average. At the within-person level, older adults took more steps on days when they sat less than usual (b = −8.29, p < .001) and stood up more frequently than usual (b = 52.75, p < .001). Older adults’ daily physical activity may be influenced by interrupting sedentary behavior more frequently as well as reducing total sedentary behavior. It may be easier to monitor the frequency of discrete behaviors, like standing up, than it is to monitor the duration of continuous behaviors (e.g., walking, sitting).

scholarly journals Physical Activity of Young Children in Hong Kong Preschools

2013 ◽  
Vol 19 (1) ◽  
pp. 70-75
Author(s):  
Bik C. CHOW ◽  
Lobo LOUIE ◽  
Peggy Pui yee CHEUNG
Keyword(s):  
Physical Activity ◽  
Hong Kong ◽  
Preschool Children ◽  
Physical Environment ◽  
Research Evidence ◽  
Outdoor Play ◽  
Daily Step ◽  
Physically Active ◽  
Step Counts ◽  
Study Participants

LANGUAGE NOTE | Document text in English; abstract also in Chinese. Are preschool children physically active? A bulk of research evidence indicates that most preschool children engage mainly in sedentary behavior and have little physical activity (PA) time. Recent reviews show that physical environment such as outdoor play, equipment, and toys as well as the type of preschool can affect children’s PA. In Hong Kong, most children ages 3 to 6 years attend preschools of half-day or whole-day sessions. The purpose of this paper was to present summarized results showing the amount of daily step counts taken by a sample of 240 preschool children (137 boys, 103 girls) in Hong Kong. The study participants came from five preschools. The data included four consecutive days of two weekdays and two weekend days. Findings showed that boys had significantly higher mean daily step counts (15,221 steps) than girls (12,208 steps) and children were significant more active during weekends compared with weekdays. 近期愈來愈多文獻指出，幼兒整體的體能活動，逐漸下降，不利健康成長。本文以步行計儀器量度香港幼兒的體能活動情況，資料顯示：以一連四天計算，男童和女童的整天活動量分別為15,221步及12,208步，而且周末的活動量明顯較平日為多。

scholarly journals The Relationship between Physical Activity, Self-Regulation and Cognitive School Readiness in Preschool Children

2021 ◽  
Vol 18 (22) ◽  
pp. 11797
Author(s):  
Pulan Bai ◽  
Sarah Johnson ◽  
Stewart Trost ◽  
Leanne Lester ◽  
Andrea Nathan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Preschool Children ◽  
Cognitive Development ◽  
School Readiness ◽  
Vigorous Physical Activity ◽  
Self Regulation ◽  
Early Years ◽  
Readiness Assessment ◽  
The Relationship ◽  
Children’S Physical Activity

(1) Background: Limited research exists on the pathways through which physical activity influences cognitive development in the early years. This study examined the direct and indirect relationships between physical activity, self-regulation, and cognitive school readiness in preschool children. (2) Method: Participants (n = 56) aged 3–5 years were recruited from the PLAYCE study, Perth, Western Australia. Physical activity was measured using 7-day accelerometry. Self-regulation was measured using the Head Toes Knees and Shoulders task and cognitive school readiness was assessed using the Bracken School Readiness Assessment. Baron and Kenny’s method was used for mediation analysis. (3) Results: After adjustment for socio-demographic factors, total physical activity was positively and significantly associated with cognitive school readiness (B = 0.16, SE = 0.07, p ≤ 0.05). Moderate-vigorous physical activity (MVPA) was positively and significantly associated with self-regulation (B = 0.3, SE = 0.13, p ≤ 0.05) and cognitive school readiness score (B = 0.20, SE = 0.09, p ≤ 0.05). Self-regulation was found to be a partial mediator of the relationship between MVPA and cognitive school readiness. (4) Conclusion: These findings highlight the direct and indirect association between preschool children’s physical activity, self-regulation, and cognitive school readiness. Further research is needed to determine the causal relationships between young children’s physical activity and cognitive development, over time.

Abstract WP425: Predictive Value Of Daily Physical Activity And New Onset Of Vascular Events In Patients With Mild Ischemic Stroke.

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Yuji Kono ◽  
Sumio Yamada ◽  
Kenta Kamisaka ◽  
Kotaro Iwatsu ◽  
Amane Araki ◽  
...  
Keyword(s):  
Physical Activity ◽  
Ischemic Stroke ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Daily Physical Activity ◽  
Stroke Recurrence ◽  
Daily Step ◽  
Vascular Events ◽  
Plaque Score ◽  
Step Counts

Introduction: Daily physical inactivity is associated with a substantially increased risk of cardiovascular events. However, the target level of daily physical activity is remained unclear. We aimed to evaluate the impact of physical activity on long-term vascular events in patients with mild ischemic stroke. Methods: We designed prospective observational study and enrolled 142 ischemic stroke patients with modified Rankin Scale 0-1 (mean age: 63.9±9.2). We measured daily step count as a variable of daily physical activity after 6-month from stroke onset. Other clinical characteristics including age, body mass index, blood pressure, blood labo test, carotid echo findings and medications were also assessed. The primary outcome was hospitalization due to stroke recurrence, myocardial infarction, angina pectoris, and peripheral artery disease. Survival curves were calculated by Kaplan-Meier survival analysis, and hazard ratios for recurrence were determined by univariate and multivariate Cox proportional hazards regression models. Results: After 1130.2±372.8 days of follow-up, 29 vascular events (19 stroke recurrence, 10 coronary heart disease) occurred, and the patients were divided into two groups: survival (n=113) and recurrenct (n=29). Daily step counts ( P =0.003) and plaque score ( P <0.001) were significantly lower in the recurrent group than survival group. Univariate and multivariate Cox proportional hazards analysis revealed daily step counts and plaque score to be independent predictors of new vascular events. A daily step counts cutoff value of 6000 steps per day was determined by the analysis of receiver-operating characteristics with sensitivity 69.4% and specificity 79.4%. Kaplan-Meier survival curves after log-rank test showed significantly lower event rate in over 6000 steps group as compared to less than 6000 steps group ( P =0.023). Conclusion: In conclusion, our data indicate that daily physical activity evaluated by step counts may be useful for forecasting prognosis in patients with mild ischemic stroke. Daily step counts of 6000 steps may be a first target level to reduce new vascular events.

scholarly journals A Study on the Relationship Between Physical Activity, Sedentary Behavior, and Sleep Duration in Preschool Children

2021 ◽  
Vol 9 ◽  
Author(s):  
Zhenya Chang ◽  
Wei Lei
Keyword(s):  
Physical Activity ◽  
Risk Factor ◽  
Preschool Children ◽  
Sedentary Behavior ◽  
Sleep Duration ◽  
Video Game ◽  
Protective Factor ◽  
Vigorous Physical Activity ◽  
Factors Affecting ◽  
The Relationship

Purpose: Explore the role of physical activity (PA) and sedentary behavior (SB) in the sleep of preschool children.Method: Preschool children (n = 458) from kindergarten were recruited, measures included accelerometer-derived 24 h activity [SB, light physical activity (LPA), moderate-to-vigorous physical activity (MVPA), daytime sleep duration (DSP), and nocturnal sleep duration (NSP)]. A self-made questionnaire was used to supplementary survey on different types of SB. The two-layer chi-square test and the Cochran–Mantel–Haenszel test were used and significance set at p &lt; 0.05.Results: PA is mainly a protective factor for DSP, while SB is mainly a risk factor for NSP of preschool children; Screen-type SB including screen viewing SB and video game SB is a risk factor for NSP, while quiet learning SB have no significant correlation with sleep duration in preschool children; Gender and social economic status are important factors affecting the association of PA, SB, and sleep duration in preschool children.Conclusions: The relationship between sleep duration at different periods and PA and SB of preschool children is different. Future educators need to gradually realize the different factors affecting the sleep of preschool children at different stages, clarify the protective factors and risk factors, in order to improve the sleep duration of preschool children.

Abstract P178: Pedometer Feedback Intervention Increases Time Spent in Moderate-to-Vigorous Physical Activity in Cardiac Rehabilitation Patients

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Cemal Ozemek ◽  
Wonwoo Byun ◽  
Katrina Riggin ◽  
Scott Strath ◽  
Leonard Kaminsky
Keyword(s):  
Physical Activity ◽  
Cardiac Rehabilitation ◽  
Vigorous Physical Activity ◽  
Activity Level ◽  
Step Count ◽  
Intensity Level ◽  
Activity Levels ◽  
Daily Step ◽  
Light Physical Activity ◽  
Step Counts

Introduction: Pedometer feedback with step goals has previously been demonstrated to be effective in increasing daily steps in cardiac rehabilitation patients. These monitors allow the individual to track steps taken during a day, which may influence the frequency or duration of structured physical activity that is intended to achieve a step goal. However, it is not known whether an increase in step counts by pedometer feedback with step goals also increases time spent in recommended intensity levels for improved health, specifically moderate-to vigorous physical activity (MVPA), in cardiac rehabilitation patients. Hypothesis: Pedometer feedback with weekly step goals will increase time spent in MVPA, mediated by an increase in step counts in cardiac rehabilitation patients. Methods: A total of 31 (22 men and 9 women, age 62 ± 9 years) patients participated in a 12-week maintenance cardiac rehabilitation, pedometer based step goal intervention. Prior to the intervention, each subject’s one week baseline average daily step count was measured and 10% of this value was used to increase step goals during the intervention. Each week the step goal was met, the following week’s goal was appropriately increased. However, if the step goal for the week was not achieved, the step goal would not increase until the goal was fulfilled. Additionally, daily step counts and time spent in MVPA and light physical activity were assessed at baseline (without pedometer feedback) and for each intervention week (with pedometer feedback) using a Kenz Lifecorder PLUS monitor (Nagoya, Japan). Average time spent in light physical activity (activity level of 1-2) and MVPA (activity levels ≥3), were determined according to activity intensity level defined by the manufacturer’s analyses program. Results: The average step count for the baseline week was 5546 ± 2679 steps/day which significantly increased to 8348± 3613 steps/day by week 12 (p<0.01). The average time spent in MVPA also significantly increased (p<0.01) from 19 ± 16 min/day at baseline to 38 ± 23 min/day at week 12. In addition, there was a significant increase (p<0.05) in time spent in light physical activity from baseline (42 ± 18 min/day) to week 12 (51 ± 24 min/day). Conclusion: Findings of this study demonstrate that a 12-week pedometer feedback-based intervention was effective in increasing time spent in MVPA in maintenance cardiac rehabilitation patients. Cardiac rehabilitation facilities can utilize pedometer feedback and goal setting to promote increases in time spent in recommended activity levels previously associated with improved health outcomes.

scholarly journals Relationships between Fundamental Movement Skills and Objectively Measured Physical Activity in Preschool Children

2009 ◽  
Vol 21 (4) ◽  
pp. 436-449 ◽  
Author(s):  
Dylan P. Cliff ◽  
Anthony D. Okely ◽  
Leif M. Smith ◽  
Kim McKeen
Keyword(s):  
Physical Activity ◽  
Preschool Children ◽  
Motor Development ◽  
Vigorous Physical Activity ◽  
Cross Sectional ◽  
Object Control ◽  
Gross Motor Development ◽  
Fundamental Movement Skills ◽  
Objectively Measured ◽  
The Relationship

Gender differences in cross-sectional relationships between fundamental movement skill (FMS) subdomains (locomotor skills, object-control skills) and physical activity were examined in preschool children. Forty-six 3- to 5-year-olds (25 boys) had their FMS video assessed (Test of Gross Motor Development II) and their physical activity objectively monitored (Actigraph 7164 accelerometers). Among boys, object-control skills were associated with physical activity and explained 16.9% (p = .024) and 13.7% (p = .049) of the variance in percent of time in moderate-to-vigorous physical activity (MVPA) and total physical activity, respectively, after controlling for age, SES and z-BMI. Locomotor skills were inversely associated with physical activity among girls, and explained 19.2% (p = .023) of the variance in percent of time in MVPA after controlling for confounders. Gender and FMS subdomain may influence the relationship between FMS and physical activity in preschool children.

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