Sitzendes Verhalten als Risikofaktor im Kindes- und Jugendalter

Relationships between Math Skills, Motor Skills, Physical Activity, and Obesity in Typically Developing Preschool Children

There is evidence of a relationship between motor and cognitive development. The literature has shown that of all the motor skills, fine motor skills are those that contribute most to mathematical performance in preschool children. As this is a sensitive period in the development of motor skills, low levels of physical activity in this period can compromise their development and contribute to weight gain and obesity. The aim of this study was therefore to analyze the relationship between mathematical and motor skills, physical activity levels, and obesity. The sample consisted of 62 preschool children (32 males) with an average age of 4.63 ± 0.81. The Weschler preschool and primary scale of intelligence-revised arithmetic test was used to assess mathematical skills. The tests to assess fine motor skills were the "Adapted Threading Beads Test" and the "Adapted Visuomotor Integration Test". The movement assessment battery for children-2, band 1, "Aiming & Catching", and "Balance" tests were used to assess gross motor skills. Levels of physical activity were assessed using the "Preschool-age physical activity questionnaire" and obesity using the body mass index. The results indicated that only the fine motor skills of visuomotor integration were included in the multiple linear regression model (F < 0.001; r = 0.464; R2 = 0.215; p < 0.001), with the exclusion of gross motor skills, physical activity levels, and obesity levels. Thus, it was concluded that mathematical skills were only directly and significantly influenced by visuomotor integration. However, visuomotor integration was positively and significantly associated with gross motor skills (r = 0.269; p < 0.05) and not with levels of physical activity and obesity. Thus, gross motor skills could contribute to improving visuomotor integration directly and consequently mathematical skills indirectly. The results of this study suggest that the implementation of structured physical activity programs can contribute to mathematical performance.

Physical activity levels and sedentary time during school hours of 6th-grade girls in Germany

Aim

Regular physical activity and low levels of sedentary time have positive health effects on youth, and data are needed to base public health recommendations on. Here, findings of device-based physical activity and sedentary time in sixth graders are presented. Data below are presented as mean (SD).

Subject and methods

Three hundred and eight sixth-grade girls [11.6 (0.6) years] from the CReActivity study in Germany wore accelerometers (ActiGraph GT3X) for 7 consecutive days. Moderate to vigorous physical activity (MVPA), light physical activity (LPA), and sedentary time (ST) was obtained during school days with a focus on recess times.

Results

Girls spent 79.9 (23.2) minutes in MVPA and 9.4 (1.2) hours in ST during schooldays, of which 20.5 (8.2) minutes and 3.8 (0.4) hours respectively were accumulated during school hours. On average, students had 35.4 (4.5) minutes break, of which 6.3 (3.2) minutes (17.8%) were spent in MVPA activity and 16.5 (6.2) minutes (46.6%) in ST.

Conclusion

School setting is an important factor for physical activity and sedentary time. Therefore policy, curriculums, and school environment should promote physical activity und reduce sedentary time during school hours.

Effects of Mobile Health Including Wearable Activity Trackers to Increase Physical Activity Outcomes Among Healthy Children and Adolescents: Systematic Review

BACKGROUND

Children and adolescents do not meet the current recommendations on physical activity (PA), and as such, the health-related benefits of regular PA are not achieved. Nowadays, technology-based programs represent an appealing and promising option for children and adolescents to promote PA.

OBJECTIVE

The aim of this review was to systematically evaluate the effects of mobile health (mHealth) and wearable activity trackers on PA-related outcomes in this target group.

METHODS

Electronic databases such as the Cochrane Central Register of Controlled Trials, PubMed, Scopus, SPORTDiscus, and Web of Science were searched to retrieve English language articles published in peer-reviewed journals from January 2012 to June 2018. Those included were articles that contained descriptions of interventions designed to increase PA among children (aged 6 to 12 years) only, or adolescents (aged 13 to 18 years) only, or articles that include both populations, and also, articles that measured at least 1 PA-related cognitive, psychosocial, or behavioral outcome. The interventions had to be based on mHealth tools (mobile phones, smartphones, tablets, or mobile apps) or wearable activity trackers. Randomized controlled trials (RCTs) and non-RCTs, cohort studies, before-and-after studies, and cross-sectional studies were considered, but only controlled studies with a PA comparison between groups were assessed for methodological quality.

RESULTS

In total, 857 articles were identified. Finally, 7 studies (5 with tools of mHealth and 2 with wearable activity trackers) met the inclusion criteria. All studies with tools of mHealth used an RCT design, and 3 were of high methodological quality. Intervention delivery ranged from 4 weeks to 12 months, whereby mainly smartphone apps were used as a tool. Intervention delivery in studies with wearable activity trackers covered a period from 22 sessions during school recess and 8 weeks. Trackers were used as an intervention and evaluation tool. No evidence was found for the effect of mHealth tools, respectively wearable activity trackers, on PA-related outcomes.

CONCLUSIONS

Given the small number of studies, poor compliance with accelerometers as a measuring instrument for PA, risk of bias, missing RCTs in relation to wearable activity trackers, and the heterogeneity of intervention programs, caution is warranted regarding the comparability of the studies and their effects. There is a clear need for future studies to develop PA interventions grounded on intervention mapping with a high methodological study design for specific target groups to achieve meaningful evidence.

Like father, like son. Physical Activity, Dietary Intake, and Media Consumption in Pre-School-Aged Children

An imbalance between energy input and energy needs contributes to the growing incidence of overweight children. Pre-schoolers normally like to move, but even at this young age, they are already affected by a lack of physical activity and a high amount of screen time. Media consumption contributes to unhealthy diets and extends the length of time spent sitting. Longer periods of sitting are, independent of the level of activity, seen as a risk factor for the development of obesity. In the present study, 160 pre-schoolers and their parents (128 mothers, 121 fathers) were examined. The results show deviations from actual recommendations regarding physical activity, time spent sitting, dietary intake, and media consumption. Increased screen time was associated with a higher weight status among pre-school-aged children. To provide a healthy upbringing, prevention and intervention measures should be implemented on a behavioral and relational level.

[Reduce sedentary behaviour among children - a systematic review]

BACKGROUND AND OBJECTIVES

Sedentary behaviour is itself a health-related behaviour. This systematic review examines whether family-based interventions can reduce sitting time among children and adolescents and which variables moderate potential intervention effects.

METHODS

Using a systematic literature search we identified family-based randomised controlled intervention studies that focus on sedentary behaviour in 3‑ to 18-year-old children and youth. The methodological quality of studies as well as the intervention effects according to different outcomes (screen-based vs. overall sitting) were analysed and evaluated for moderating effects.

RESULTS

Of 29 studies, 17 reported significant effects and 11 studies showed positive trends for reduced sitting time. The content of interventions, the level of theoretical underpinning as well as the methodological quality of studies were heterogeneous. Most often, screen-based sitting and seldom overall sitting was examined. Concise characteristics of intervention success were not clearly apparent. The proportion of positive intervention effects was higher in reducing sitting in front of TVs compared to other outcomes. An analysis of moderators highlighted that intervention programs among pre-schoolers showed more often positive intervention effects.

DISCUSSION

There are many promising opportunities to reduce sitting time using family-based approaches. Statements in terms of replication of interventions and explanations of the effective mechanisms within interventions are limited. Therefore, future interventions should use subjective as well as objective evaluation measures and consider overall sitting time. To strengthen the basis of interventional effort in this research field, a theoretical planning approach is recommended.