scholarly journals Objectively Measured Physical Activity In Children Aged From 5 To 8 Years / Objektivno Izmerjena Gibalna Aktivnost Od Pet- Do Osemletnih Otrok

2013 ◽  
Vol 52 (1) ◽  
pp. 9-18 ◽  
Author(s):  
Tadeja Volmut ◽  
Rado Pišot ◽  
Boštjan Šimunič
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
World Population ◽  
Older Children ◽  
Physically Active ◽  
Physical Activity Interventions ◽  
Early Afternoon ◽  
Time Periods ◽  
And Gender ◽  
Objectively Measured

AbstractObjective:Today, a majority of the world population is dealing with physical inactivity and related health problems.Moreover, while various interventions are being adopted to increase children’s physical activity, these are mostly lessoreven un-successful. One of the possible reasons for this could be the wrong timing for their instalment. Therefore,the purpose of our study is to analyse between-day and within-day physical activity in 5- to 8-year old children.Methods:Using accelerometers we monitored 97 Slovenian children (49 males) for five consecutive days.Results:We found that 5- to 8- year old Slovenian children are physically active on average between 689 and795 counts per minute, with age and gender significant factors, however both with low effect size. The averagedata was in line with the trends of the world’s population. Time spent in moderate-to-vigorous physical activity wasnever measured in 5- to 8- year old children and we found it to be significantly longer than in slightly older children.Furthermore, we have defined the time periods with the lowest physical activity, which is in the morning, after thebreakfast. Additionally, there are some age differences, with 5-year olds being most active before lunch but lessphysically active in the early afternoon.Conclusions:In conclusion we have to emphasize and implicate to next generation studies to indicate time periodswith the lowest physical activity and to promote physical activity interventions in those periods to achieve the greatestimpact.

Abstract P284: ClusterAnalysis of Objectively Measured Physical Activity Patterns in Women in the mPEDTrial

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Yoshimi Fukuoka ◽  
Mo Zhou ◽  
Eric Vittinghoff ◽  
William Haskell ◽  
Ken Goldberg ◽  
...  
Keyword(s):  
Physical Activity ◽  
Specific Activity ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
Metabolic Equivalent ◽  
Number Of Clusters ◽  
Physically Active ◽  
Physical Activity Guidelines ◽  
Physical Activity Interventions ◽  
Objectively Measured

Background: Determining patterns of physical activity throughout the day could assist in developing more personalized interventions or physical activity guidelines in general, and in particular for women, who are less likely to be physically active than men. Objective: The aims of this report are to identify clusters of women based on accelerometer measured raw metabolic equivalent values (METs) and a normalized version of the METs ≥ 3 data and to compare sociodemographic and cardio metabolic risks among these identified clusters. Methods: 215 women wearing an accelerometer for at least 8 hours per day for the last 7 days prior to the randomization visit were analyzed. A K-means clustering method, the Lloyd’s algorithm, was used. To choose the number of clusters, we used the elbow method, looking at the percentage of variance explained as a function of the number of clusters. Results: The results of k means cluster analyses of raw METs revealed three different clusters (Figure 1) and the Low Active Group (n=102) had the highest depressive symptoms score compared to the Afternoon Active (n=65) and Morning Active (n=48) groups (overall P < .001). Based on a normalized version of the METs ≥ 3 data Figure 2), the moderate to vigorous physical activity (MVPA) Evening Peak group (n = 108) had higher BMI, and waist and hip circumference than the MVPA Noon Peak group (n=61) (overall P =.03, .02, and .03 respectively). Conclusions: Categorizing physical inactive individuals into more specific activity patterns could aid in creating timing, frequency, duration, and intensity of physical activity interventions for women. Further research is needed to confirm these cluster groups using a large national dataset.

scholarly journals Objectively Measured Baseline Physical Activity Patterns in Women in the mPED Trial: Cluster Analysis (Preprint)

2017 ◽  
Author(s):  
Yoshimi Fukuoka ◽  
Mo Zhou ◽  
Eric Vittinghoff ◽  
William Haskell ◽  
Ken Goldberg ◽  
...  
Keyword(s):  
Physical Activity ◽  
Specific Activity ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
Number Of Clusters ◽  
Physically Active ◽  
Physical Activity Guidelines ◽  
Physical Activity Interventions ◽  
Metabolic Equivalent Of Task ◽  
Objectively Measured

BACKGROUND Determining patterns of physical activity throughout the day could assist in developing more personalized interventions or physical activity guidelines in general and, in particular, for women who are less likely to be physically active than men. OBJECTIVE The aims of this report are to identify clusters of women based on accelerometer-measured baseline raw metabolic equivalent of task (MET) values and a normalized version of the METs ≥3 data, and to compare sociodemographic and cardiometabolic risks among these identified clusters. METHODS A total of 215 women who were enrolled in the Mobile Phone Based Physical Activity Education (mPED) trial and wore an accelerometer for at least 8 hours per day for the 7 days prior to the randomization visit were analyzed. The k-means clustering method and the Lloyd algorithm were used on the data. We used the elbow method to choose the number of clusters, looking at the percentage of variance explained as a function of the number of clusters. RESULTS The results of the k-means cluster analyses of raw METs revealed three different clusters. The unengaged group (n=102) had the highest depressive symptoms score compared with the afternoon engaged (n=65) and morning engaged (n=48) groups (overall P<.001). Based on a normalized version of the METs ≥3 data, the moderate-to-vigorous physical activity (MVPA) evening peak group (n=108) had a higher body mass index (P=.03), waist circumference (P=.02), and hip circumference (P=.03) than the MVPA noon peak group (n=61). CONCLUSIONS Categorizing physically inactive individuals into more specific activity patterns could aid in creating timing, frequency, duration, and intensity of physical activity interventions for women. Further research is needed to confirm these cluster groups using a large national dataset. CLINICALTRIAL ClinicalTrials.gov NCT01280812; https://clinicaltrials.gov/ct2/show/NCT01280812 (Archived by WebCite at http://www.webcitation.org/6vVyLzwft)

One-year stability of physical education-centered physical literacy indicators on objectively measured physical activity

2021 ◽  
pp. 1356336X2110463
Author(s):  
Sami Yli-Piipari ◽  
Arto Gråstén ◽  
Mikko Huhtiniemi ◽  
Kasper Salin ◽  
Timo Jaakkola
Keyword(s):  
Physical Activity ◽  
Elementary School ◽  
Physical Education ◽  
Motor Coordination ◽  
Physical Literacy ◽  
School Students ◽  
Physically Active ◽  
Upper Elementary School ◽  
And Gender ◽  
Objectively Measured

One of the central goals of school physical education (PE) is to improve physical literacy in youth to nurture their ability, confidence, and desire to be physically active for life. The aim of this study was to examine the stability of the selected PE-centered physical literacy indicators on school students’ objectively measured moderate-to-vigorous intensity physical activity (MVPA). This study was a follow-up study tracking a sample of 450 Finnish children ( M  =  11.26[0.32]; nfemales  =  194; nmales   =  256) across upper elementary school from fifth (T1) to sixth (T2) grade. A set of independent variables (motor competence, health-related fitness, in-class PE MVPA, and PE motivation and enjoyment) and total MVPA as a dependent variable were collected, and gender and body mass index were controlled in the analyses. The entire model explained almost 29% of MVPA in T1 and 26% in T2. While cardiorespiratory endurance (β  =  0.29) and MVPA in PE (β  =  0.20) were statistically significant predictors of MVPA in T1, MVPA in PE (β  =  0.23), and identified regulation (β  =  0.16) were statistically significant predictors at T2. Across the time, boys had higher levels of MVPA compared to girls (T1: β  =  −0.12; T2: β  =  −0.14), whereas the relationship was inverted in motor coordination (T1: β  =  0.13; T2: β  =  0.12). The findings of this study suggest that MVPA in PE is an important contributor to children's MVPA, and its role is eminent during the last two grades of elementary school.

scholarly journals Job Demand-Control-Support Model as Related to Objectively Measured Physical Activity and Sedentary Time in Working Women and Men

2019 ◽  
Vol 16 (18) ◽  
pp. 3370 ◽  
Author(s):  
Kristina Larsson ◽  
Örjan Ekblom ◽  
Lena V. Kallings ◽  
Maria Ekblom ◽  
Victoria Blom
Keyword(s):  
Physical Activity ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Psychosocial Stressors ◽  
Physically Active ◽  
Negatively Associated ◽  
Job Demand ◽  
Objectively Measured ◽  
Demand Control ◽  
Objectively Measured Physical Activity

A physically active lifestyle incurs health benefits and physically active individuals show reduced reactivity to psychosocial stressors. However, the findings are inconclusive and are based on self-reported physical activity and sedentary time. The present study aimed at studying the associations between psychological stressors (job demand, control, support, JD-C-S) and objectively measured physical activity (PA) on various intensities from sedentary (SED) to vigorous physical activity. The participants were 314 employees from a cross-sectional study. PA data were collected with the accelerometer ActiGraph GT3X (Pensacola, FL, USA), SED data with the inclinometer activPAL (PAL Technologies Ltd., Glasgow, Scotland, UK), and psychosocial stressors with a web questionnaire. Results showed that vigorous-intensity PA was negatively associated with demand (β −0.15, p < 0.05), even when adjusted for the covariates. SED was negatively associated to support (β −0.13, p < 0.05). Stress significantly moderated relations between support and sedentary time (β −0.12, p < 0.05). Moderate PA (MVPA) was negatively associated with demand, but only when controlling for overtime (β −0.13, p < 0.05). MVPA was also negatively associated with control (β −0.15, p < 0.05) but not when work engagement was included in the model. Being more physically active and spending less time sedentary may help to handle job situations with high demand and low support.

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.

Accelerometer-determined physical activity of children during segmented school days: The Shanghai perspective

2018 ◽  
Vol 25 (3) ◽  
pp. 816-829 ◽  
Author(s):  
Lijuan Wang
Keyword(s):  
Physical Activity ◽  
Physical Education ◽  
Physical Exercise ◽  
Grade Level ◽  
Leisure Time ◽  
Vigorous Physical Activity ◽  
Physically Active ◽  
Lunch Break ◽  
Grade Level Differences ◽  
Objectively Measured

The two types of school days that are followed in China are physical education and physical exercise days. This study objectively measured the moderate-to-vigorous physical activity (MVPA) of children during the recess, lunch break, leisure time, physical education and physical exercise segments of the physical education and physical exercise days. Moreover, this research compared the gender and grade-level differences in MVPA during each segment. A total of 316 children aged 6–13 years (M = 9.28, SD = 1.87) in Grades One to Five from three elementary schools participated in this study. Accelerometers were utilised to measure the MVPA of children. The participants accumulated the most MVPA time during physical education classes, whereas the least MVPA time was recorded during lunch break. The boys were significantly more physically active than girls during recess ( F (1, 316) = 4.449, p = 0.037, η2 = 0.030), lunch break ( F (1, 316) = 4.525, p = 0.035, η2 = 0.030) and leisure time ( F (1, 316) = 4.795, p = 0.030, η2 = 0.032) on physical education days, and during recess ( F (1, 316) = 5.968, p = 0.017, η2 = 0.079) and leisure time ( F (1, 316) = 5.246, p = 0.025, η2 = 0.070) on physical exercise days. Significant grade-level differences in the MVPA time were observed during recess ( F (2, 316) = 20.209, p < 0.001, η2 = 0.219) on physical education days and during physical exercise classes ( F (2, 316) = 3.662, p = 0.031, η2 = 0.095) and recess ( F (2, 316) = 4.326, p = 0.017, η2 = 0.110) on physical exercise days. Children in Grades Two and Three engaged in the most MVPA time during the majority of segments. In conclusion, physical activity interventions during less structured or unstructured segments are recommended. Special attention should likewise be provided to girls and children in Grades One, Four and Five to increase their MVPA.

Physical Activity Interventions in Middle School and High School Girls A Review

2015 ◽  
Vol 24 (1-2) ◽  
pp. 41-69 ◽  
Author(s):  
Jessyka N. Larson ◽  
James C. Hannon ◽  
Timothy A. Brusseau
Keyword(s):  
Physical Activity ◽  
High School ◽  
Vigorous Physical Activity ◽  
Adolescent Females ◽  
Female Adolescents ◽  
Activity Levels ◽  
Physical Activity Interventions ◽  
High School Girls ◽  
School Girls ◽  
And Gender

Abstract This review examined 62 studies that focused on adolescent females’ physical activity and gender differences in physical activity levels among adolescents. Approximately 15% of female adolescents are obese and only 35% are meeting the recommendation of 60 minutes of moderate to vigorous physical activity per day declining to 3% once females reach high school. Identifying factors that influence physical activity among adolescent females has led to successful interventions.

scholarly journals Children with overweight are not less physically active than children of normal-weight

2019 ◽  
Author(s):  
Janneke van Leeuwen ◽  
Bart Koes ◽  
Winifred D. Paulis ◽  
Patrick J.E. Bindels ◽  
Marienke van Middelkoop
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Normal Weight ◽  
Moderate Physical Activity ◽  
Overweight Children ◽  
Physically Active ◽  
Percentage Time ◽  
General Practices ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

Abstract Background The aim of this study was to investigate the differences in objectively measured physical activity and in self-reported physical activity between overweight and normal-weight children. Methods Data from a prospective cohort study including children, presenting at the participating general practices in the south-west of the Netherlands, were used. Children (aged 4-15 years) were categorized as normal-weight or overweight using age- and sex specific cut-off points. They wore an ActiGraph accelerometer for one week to register physical activity, and filled out a diary for one week about physical activity. Results A total of 57 children were included in this study. Overweight children spent significantly less percentage time per day in sedentary behavior (β -1.68 (95%CI -3.129, -0.07)). There were no significant differences in percentage time per day spent in light to moderate physical activity (β 1.52 (-0.01, 3.04)), and in moderate to vigorous physical activity (β 0.33 (-0.11, 0.78)). No significant differences were found between children of normal-weight and overweight in self-reported measures of physical activity. Conclusions Overweight children are not less physically active than normal-weight children, which may be associated with the risen awareness towards overweight/obesity and with implemented interventions for children with overweight/obesity.

scholarly journals No differences in physical activity between children with overweight and children of normal-weight

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Janneke van Leeuwen ◽  
Bart W. Koes ◽  
Winifred D. Paulis ◽  
Patrick J. E. Bindels ◽  
Marienke van Middelkoop
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Normal Weight ◽  
Overweight Children ◽  
Physically Active ◽  
Actigraph Accelerometer ◽  
Percentage Time ◽  
General Practices ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

Abstract Background The aim of this study was to investigate the differences in objectively measured physical activity and in self-reported physical activity between overweight and normal-weight children. Methods Data from a prospective cohort study including children, presenting at the participating general practices in the south-west of the Netherlands, were used. Children (aged 4–15 years) were categorized as normal-weight or overweight using age- and sex specific cut-off points. They wore an ActiGraph accelerometer for one week to register physical activity, and filled out a diary for one week about physical activity. Results A total of 57 children were included in this study. Overweight children spent significantly less percentage time per day in sedentary behavior (β − 1.68 (95%CI -3.129, − 0.07)). There were no significant differences in percentage time per day spent in moderate to vigorous physical activity (β 0.33 (− 0.11, 0.78)). No significant differences were found between children of normal-weight and overweight in self-reported measures of physical activity. Conclusions Overweight children are not less physically active than normal-weight children, which may be associated with the risen awareness towards overweight/obesity and with implemented interventions for children with overweight/obesity.

scholarly journals Daily and Weekly Variation in Children’s Physical Activity in Norway: A Cross-Sectional Study of The Health Oriented Pedagogical Project (HOPP)

Sports ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 150
Author(s):  
Iana Kharlova ◽  
Maren Valand Fredriksen ◽  
Asgeir Mamen ◽  
Per Morten Fredriksen
Keyword(s):  
Physical Activity ◽  
Body Mass ◽  
Leisure Time ◽  
Vigorous Physical Activity ◽  
Cross Sectional Study ◽  
Older Children ◽  
Cross Sectional ◽  
Physically Active ◽  
Relative Contribution ◽  
Time Domains

Background The purpose of the study was to examine differences in objectively measured moderate-to-vigorous physical activity (MVPA min/day) and sedentary time (SED min/day) between different time domains as school hours, leisure time, and weekends. An additional objective addressed causal association between body mass and MVPA. Methods. The study sample consisted of 2015 subjects (51% girls) aged 6–12 years (9.46 ± 1.76) from the Health Oriented Pedagogical Project (HOPP) in south-east Norway. Six days of MVPA min/day and SED min/day were measured using accelerometers and presented as daily averages. The differences in physical activity (PA) were investigated between the time domains of school-hours, leisure time and weekends by age and sex. Data were analyzed using one-and two-way ANOVA. Results. The relative contribution of the different time domains in overall PA was found. Daily average of MVPA min/day and SED min/day differed significantly across the three time domains. The average weekend SED was 56 ± 3.45 and 82 ± 4.12 min/day less when compared with school hours and leisure time, respectively. On average children spent 27 ± 2.74 min/day less in MVPA during school hours, compared with leisure time (p < 0.001), and spent by 38 ± 2.10 min/day more during weekends compared to school hours (p < 0.001). Boys were more physically active than girls, and less time was spent in MVPA with age. Conclusion. With the objective of increasing PA in a child population, the findings indicate that PA intervention programs should target children with higher body mass, girls more than boys, older children more than younger, and during school hours and leisure time more than on weekends.

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