scholarly journals Screen time and physical activity in children and adolescents aged 10–15 years

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254255
Author(s):  
Anna Dahlgren ◽  
Linnea Sjöblom ◽  
Helén Eke ◽  
Stephanie E. Bonn ◽  
Ylva Trolle Lagerros
Keyword(s):  
Physical Activity ◽  
Children And Adolescents ◽  
Screen Time ◽  
Smartphone Application ◽  
Cross Sectional Study ◽  
Activity Level ◽  
Cross Sectional ◽  
Activity Tracker ◽  
Reported Data ◽  
Objectively Measured

Background Previous research studies have demonstrated a relationship between low levels of physical activity and high amounts of screen time in children and adolescents. However, this is usually based on self-reported data. Therefore, the aim of this cross-sectional study was to investigate the association between objectively measured smartphone screen time and physical activity among children and adolescents aged 10–15 years. Methods During seven consecutive days, we objectively assessed smartphone screen time, using the SCRIIN smartphone application, and physical activity, using the SCRIIN activity tracker, in children and adolescents recruited from two schools in Stockholm County, Sweden. Moreover, the children/adolescents and their parents responded to a questionnaire, obtaining among other things: self-reported screen time, physical activity, sleep and health-related quality of life. Results A total of 121 children and adolescents (mean age: 12.1 ± 1.5) were included in the study. Objectively measured smartphone screen time was 161.2 ± 81.1 min/day. Mean physical activity, measured with the SCRIIN activity tracker, was 32.6 ± 16.5 active min/day. Minutes of screen time and physical activity did not differ between the children and adolescents from the two schools, despite located in different socioeconomic areas. Further, we found no association between smartphone screen time and physical activity. However, girls aged 14–15 years, had more smartphone screen time (p<0.01) and were significantly more physically active (p<0.01) than girls aged 10–12 years. In addition, boys reported more than five times more time spent on computer and video games than girls did. Conclusion Smartphone screen time was not associated with physical activity level among children and adolescents aged 10–15 years.

Accelerometer-Assessed Physical Activity and School Absenteeism Due to Illness or Injury Among Children and Adolescents: NHANES 2003 to 2006

2016 ◽  
Vol 32 (3) ◽  
pp. 571-577
Author(s):  
Paul D. Loprinzi ◽  
Emily Frith
Keyword(s):  
Physical Activity ◽  
Children And Adolescents ◽  
Multinomial Logistic Regression ◽  
Vigorous Physical Activity ◽  
Cross Sectional Study ◽  
School Absenteeism ◽  
Poverty Level ◽  
Cross Sectional ◽  
Health And Nutrition ◽  
Objectively Measured

Introduction: To examine the association between objectively measured moderate to vigorous physical activity (MVPA) and total physical activity with school absenteeism due to illness or injury among children and adolescents. Design: Cross-sectional study. Setting: National Health and Nutrition Examination Survey 2003 to 2006. Participants: A total of 1249 children (aged 6-11 years) and 1747 adolescents (aged 12-17 years). Measures: School absenteeism was categorized as no/minimal school absenteeism (0-8 missed school days in the past 12 months), moderate absenteeism (9-17 missed days), or severe absenteeism (18+ missed days). Physical activity was objectively measured via accelerometry. Analysis: Multinomial logistic regression. Results: Children in the most active quartile had 89% reduced odds of severe absenteeism relative to the least active quartile (odds ratio [OR]: 0.11; 0.95% confidence interval [CI]: 0.02-0.48); results were similar for MVPA. For adolescents, those in the most active quartile for MVPA had a 41% reduced odds of having moderate (vs no/minimal) absenteeism (OR = 0.59; 95% CI: 0.35-0.99). For children, a multiplicative interaction effect of MVPA and poverty level on severe absenteeism was observed (OR = 0.98, P = .02). Conclusion: Higher levels of physical activity were associated with lower odds of severe school absenteeism. Such an observation is important, as school absenteeism strongly contributes to academic performance. Particular attention for promoting physical activity and closely monitoring school absenteeism among youth below the poverty level may be warranted.

scholarly journals Postural deviations, physical activity and puberty: a cross-sectional study with children

2020 ◽  
Vol 19 (6) ◽  
pp. 459
Author(s):  
Cristianne Morgado Montenegro ◽  
Tatiana Affornali Tozo ◽  
Beatriz Oliveira Pereira ◽  
João Otacílio Libardoni Dos Santos
Keyword(s):  
Physical Activity ◽  
Children And Adolescents ◽  
Aerobic Fitness ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Activity Level ◽  
Cross Sectional ◽  
Lumbar Hyperlordosis ◽  
Postural Assessment ◽  
Muscle Fitness

Introduction: Currently, postural deviations represent one of the biggest epidemiological problems among children and adolescents. Objective: To analyze whether there is an association between aerobic fitness and the level of physical activity in children and adolescents and the occurrence of postural deviations in children and adolescents. Methods: The study analyzed 380 children and adolescents, 54% female and 46% male, between 10 and 18 years old. The selected variables were: Aerobic fitness, Physical activity level, and Postural deviations. To determine the variables, Fitnessgram, International Physical Activity Questionnaire, and the method of photogrammetry of Postural Assessment Based on Digital Image version 3.1 were used. Results: There were statistically significant association between aerobic fitness and lumbar hyperlordosis in males (p = 0.049). Binary logistic regression adjusted for the boys' group (OR = 3.268) showed the possibility of lumbar hyperlordosis to develop three times more in boys with adequate aerobic fitness. Conclusion: Boys with lumbar hyperlordosis had satisfactory levels of aerobic fitness. Other risk factors, such as muscle fitness, seem to influence the occurrence of lumbar hyperlordosis.Keywords: posture, physical fitness, physical activity, children.

scholarly journals Clustering of Obesity-Related Risk Behaviors Among Families With Preschool Children Using a Socioecological Approach: Cross-Sectional Study (Preprint)

2018 ◽  
Author(s):  
Virginia Quick
Keyword(s):  
Physical Activity ◽  
Screen Time ◽  
Vegetable Intake ◽  
Daily Intake ◽  
Cross Sectional Study ◽  
Activity Level ◽  
Cross Sectional ◽  
Sugar Sweetened Beverage ◽  
Sweetened Beverage ◽  
Related Risk

BACKGROUND Limited attention has been given to assessing home environments of parents with preschool-aged children using a socioecological approach to better understand potential influencers of obesity risk. OBJECTIVE The purpose of this cross-sectional study was to examine the clustering of obesity-related risk behaviors among mothers with preschool children. METHODS Mothers with preschool-aged children (ages 2 to 5 years) who participated in the online Home Obesogenic Measure of Environments (HOMES) survey were examined in clustering of four healthy recommended behaviors (ie, mother’s fruit and vegetable intake ≥5 per day, sedentary screen time <4 hours per day, sugar-sweetened beverage intake <1 time/day, and increased physical activity level). Frequencies and percents of the clustering variables were conducted along with Spearman rank order correlations to determine significant associations. Ward’s method with squared Euclidean distances were performed for the cluster analysis using the four standardized continuous variables. Identification of total cluster number was determined by visually inspecting the dendogram. Sociodemographic, intrapersonal, social environment, and home physical environment characteristic differences between cluster groups were further examined by independent t tests and chi-square analysis to validate findings. RESULTS Of the 496 participants (72.6%, 360/496 white; age mean 32.36, SD 5.68 years), only a third (37.1%, 184/496) consumed five or more servings of fruits/vegetables daily, had low sedentary screen time of <4 hours/day, and reported moderate to high levels of physical activity (34.1%, 169/496). More than half (57.7%, 286/496) consumed <1 sugar-sweetened beverage serving daily. A positive correlation (r=.34, P<.001) between physical activity level and fruit/vegetable intake (≥5 servings/day), and a positive correlation (r=.15, P=.001) between low sedentary screen time (<4 hours/day) and low sugar-sweetened beverage intake (<1 serving/day) were found. Ward’s hierarchical analysis revealed a two-cluster solution: less healthy/inactive moms (n=280) and health conscious/active moms (n=216). Health conscious/active moms were significantly (P<.010) likely to be more physically active, have lower sedentary screen time, lower daily intake of sugar-sweetened beverages, and greater daily intake of fruits and vegetables compared to less healthy/inactive moms. Less healthy/inactive moms were significantly more likely to have a higher body mass index and waist circumference compared to the other cluster; however, there were no significant sociodemographic differences. There were many intrapersonal (eg, importance of physical activity for child and self) and home physical environment (eg, home availability of fruits/vegetables and salty/fatty snacks) characteristic differences between clusters, but few significant differences emerged for social environment characteristics (eg, family meals, family cohesion). CONCLUSIONS Findings may have implications in tailoring future obesity prevention interventions among families with young children.

scholarly journals Associations Between Children’s Physical Activity, Pain and Injuries

2021 ◽  
pp. 003151252110284
Author(s):  
João Paulo de Aguiar Greca ◽  
Thomas Korff ◽  
Jennifer Ryan
Keyword(s):  
Physical Activity ◽  
Generalized Estimating Equations ◽  
Weight Status ◽  
Cross Sectional Study ◽  
Moderating Effect ◽  
Sectional Study ◽  
Cross Sectional ◽  
Excessive Weight ◽  
Objectively Measured ◽  
Children’S Physical Activity

Our aim in this study was to investigate the relationships between physical activity (PA), pain, and injury among children. Secondarily, we examined whether these relationships differed between children with normal versus excessive weight or obesity. This was a cross-sectional study of 102 children (57 girls) aged 8–12 years old. We assessed the prevalence of moderate and vigorous PA using accelerometry over a seven-day period. We examined the associations between moderate PA, vigorous PA, pain presence, and injury presence using generalized estimating equations with a logit link and binomial distribution. We adjusted the obtained models for potential confounders and explored the moderating effect of weight status. We found no association between moderate PA and pain, but time spent in vigorous PA was associated with pain. Neither moderate or vigorous PA were associated with injury, and there was no moderating effect of weight status in these relationships. In summary, we found that objectively measured vigorous PA is associated with pain among 8–12 year old children. While these results should be replicated in longitudinal studies, they suggest that an association between vigorous PA and pain should be considered when developing PA interventions for children.

scholarly journals Prevalence and correlates of adherence to movement guidelines among urban and rural children in Mozambique: a cross-sectional study

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Taru Manyanga ◽  
Joel D. Barnes ◽  
Jean-Philippe Chaput ◽  
Peter T. Katzmarzyk ◽  
Antonio Prista ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Duration ◽  
Screen Time ◽  
Cross Sectional Study ◽  
Rural Children ◽  
Sectional Study ◽  
Cross Sectional ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low Middle Income Countries

Abstract Background Insufficient physical activity, short sleep duration, and excessive recreational screen time are increasing globally. Currently, there are little to no data describing prevalences and correlates of movement behaviours among children in low-middle-income countries. The few available reports do not include both urban and rural respondents, despite the large proportion of rural populations in low-middle-income countries. We compared the prevalence of meeting 24-h movement guidelines and examined correlates of meeting the guidelines in a sample of urban and rural Mozambican schoolchildren. Methods This is cross-sectional study of 9–11 year-old children (n = 683) recruited from 10 urban and 7 rural schools in Mozambique. Moderate- to vigorous-intensity physical activity (MVPA) and sleep duration were measured by waist-worn Actigraph GT3X+ accelerometers. Accelerometers were worn 24 h/day for up to 8 days. Recreational screen time was self-reported. Potential correlates of meeting 24-h movement guidelines were directly measured or obtained from validated items of context-adapted questionnaires. Multilevel multivariable logit models were used to determine the correlates of movement behaviours. Meeting 24-h movement guidelines was defined as ≥60 min/day of MVPA, ≤2 h/day of recreational screen time, and between 9 and 11 h/night of sleep. Results More rural (17.7%) than urban (3.6%) children met all three 24-h movement guidelines. Mean MVPA was lower (82.9 ± 29.5 min/day) among urban than rural children (96.7 ± 31.8 min/day). Rural children had longer sleep duration (8.9 ± 0.7 h/night) and shorter recreational screen time (2.7 ± 1.9 h/day) than their urban counterparts (8.7 ± 0.9 h/night and 5.0 ± 2.3 h/day respectively). Parental education (OR: 0.37; CI: 0.16–0.87), school location (OR: 0.21; CI: 0.09–0.52), and outdoor time (OR: 0.67; CI: 0.53–0.85) were significant correlates of meeting all three 24-h movement guidelines. Conclusions Prevalence and correlates of meeting movement guidelines differed between urban and rural schoolchildren in Mozambique. On average, both groups had higher daily MVPA minutes, shorter sleep duration, and higher recreational screen time than the 24-h movement guidelines recommend. These findings (e.g., higher than recommended mean daily MVPA minutes) differ from those from high-income countries and highlight the need to sample from both urban and rural areas.

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