Relationship Between Parent and Child Physical Activity Using Novel Acceleration Metrics

A comparative analysis of 24-hour movement behaviors features using different accelerometer metrics in adults: Implications for guideline compliance and associations with cardiometabolic health

BACKGROUND

Movement behavior features such as time use estimates, average acceleration and intensity gradient are crucial in understanding associations with cardiometabolic health. The aim of this study was to 1) compare movement behavior features processed by commonly used accelerometer metrics among adults (i.e. Euclidian Norm Minus One (ENMO), Mean Amplitude Deviation (MAD) and counts per minute (CPM)), 2) investigate the impact of accelerometer metrics on compliance with movement behavior guidelines, and 3) explore potential variations in the association between movement behavior features and cardiometabolic variables depending on the chosen metric.

METHODS

This cross-sectional study collected movement behavior features (Actigraph GT3X+) and cardiometabolic variables. Accelerometer data were analyzed by four metrics, i.e. ENMO, MAD, and CPM vertical axis and CPM vector magnitude (GGIR). Intraclass correlations and Bland‒Altman plots identified metric differences for time use in single movement behaviors (physical activity, sedentary behavior), average acceleration and intensity gradient. Regression models across the four metrics were used to explore differences in 24-hour movement behaviors (24h-MBs; compositional variable) as for exploration of associations with cardiometabolic variables.

RESULTS

Movement behavior data from 213 Belgian adults (mean age 45.8±10.8 years, 68.5% female) differed according to the metric used, with ENMO representing the most sedentary movement behavior profile and CPM vector magnitude representing the most active profile. Compliance rates for meeting integrated 24h-MBs guidelines varied from 0-25% depending on the metric used. Furthermore, the strength and direction of associations between movement behavior features and cardiometabolic variables (body mass index, waist circumference, fat% and HbA1c) differed by the choice of metric.

CONCLUSION

The metric used during data processing markedly influenced cut-point dependent time use estimates and cut-point independent average acceleration and intensity gradient, impacting guideline compliance and associations with cardiometabolic variables. Consideration is necessary when comparing findings from accelerometry studies to inform public health guidelines.

Configurations of actual and perceived motor competence among elementary school children in China: differences in physical activity

Background

Actual motor competence (AMC) and perceived motor competence (PMC), as determinants of children's active participation in physical activity (PA), were important for children's healthy development. The correlation between the two had been confirmed. To further understand this relationship, this study investigated the current status of AMC, PMC, and PA in Chinese school-age children, used a person-centered approach to reveal the characteristics of the development of motor competence (MC) in Chinese school-age children and the differences in the level of PA among different MC profiles of children.

Materials and methods

A total of 532 children (age: M = 9.37, SD = 1.80 years-old) from grades 1 to 6 participated in this cross-sectional study (male, n = 284, 53.4%; female, n = 248, 46.6%). The Test of Gross Motor Development-3 (TGMD-3) was used to measure children's AMC, the Pictorial Scale of Perceived Movement Skill Competence (PMSC) to measure children's PMC, and the revised Chinese version of Physical Activity Questionnaire for Older Children (PAQ-C) to assess children's PA levels.

Results

There were some gender differences in AMC but no significant gender differences in PMC and PA in children. AMC and PA levels increased as the children aged, while PMC showed some decline. Cluster analysis identified four groups of children with different MC profiles. Two groups of children had corresponding AMC and PMC levels (the "high-high" cluster, N = 200, 38.91%; the "low-low" cluster, N = 63, 12.26%), and the other two groups were inconsistent in AMC and PMC (the "high-low" cluster, N = 100, 19.46%; the "low-high" cluster, N = 151, 29.38%). Significant differences in PA levels were found between children with different MC profiles. The "high-high" cluster children had the highest PA levels, whereas the "low-low" cluster children demonstrated the lowest PA levels.

Conclusion

AMC, PMC, and PA in Chinese school-age children were consistent with the pattern of child growth and development. Children with high AMC and high PMC usually had high levels of PA. Therefore, it was recommended to seize the best opportunity to intervene with children, and family, school, and community should synergize to help children improve AMC and PMC, and then actively participate in PA.

Parents' and Children's (6-12 Years Old) Physical Activity Association: A Systematic Review from 2001 to 2020

Worldwide, studies reveal that a significant proportion of adults and children do not meet the recommended guidelines for physical activity (PA). Therefore, it is crucial that proxy determinants for child physical activity enhancement could be identified. Parents have been considered to have a key role in child adherence to physical activity. Thus, this systematic review aimed to identify association between parents’ and children’s PA. The search of scientific papers was conducted from 31 October 2020 until 31 January 2021, on the Web of Science, Scopus, Psycinfo, SportDiscus, and Pubmed databases. The PRISMA protocol was used. Findings indicate a consistent association between parents’ and children’s (6–12 years old) PA. Despite the imbalance of the number of assessed fathers and mothers with the latter clearly overrepresented, a trend towards the same gender dyads on PA significant and positive association (father/son, mother/daughter) was evidenced. Results support the relevant importance of parents’ PA as role modeling (either explicitly or implicitly) for children’s PA. Besides, results revealed the importance of promoting PA in family for the enhancement of children’s PA. Moreover, and given the positive impact of exerting PA with the children on children’s PA, parents should spend more time practicing PA with their children, especially on MVPA and meeting the recommended guidelines for PA. Future studies should highlight the role of mediator variables on this interaction process, extending the knowledge on the contribution of other factors to the requested enhancement of children adherence to PA practice.

Associations of novel 24-h accelerometer-derived metrics with adiposity in children and adolescents

Background

Further research is required to explore the associations between 24-h movement behaviours and health outcomes in the paediatric population. Therefore, this study aimed to examine the associations between novel data-driven 24-h activity metrics and adiposity among children and adolescents.

Methods

The sample included 382 children (8–13 years) and 338 adolescents (14–18 years). The average acceleration (AvAcc) of activity, intensity gradient (IG), and metrics representing the initial acceleration for the most active time periods of the 24-h cycle were calculated from raw acceleration data. Adiposity measures included body mass index z-score, fat mass percentage (FM%), and visceral adipose tissue (VAT). Data analysis was performed using multiple linear regression adjusted for wear time, sex, maternal education level, and maternal overweight and obesity.

Results

Children demonstrated higher values in all 24-h activity metrics than did adolescents (p < 0.001 for all). For children, the initial acceleration for the most active 2, 5, 15, and 30 min of the 24-h cycle were negatively associated with FM% (p ≤ 0.043 for all) and VAT (p <0.001 for all), respectively. For adolescents, the IG was negatively associated with FM% (p = 0.002) and VAT (p = 0.007). Moreover, initial acceleration for the most active 2, 5, 15, 30, 60, and 120 min were associated with FM% (p ≤ 0.007 for all) and with VAT (p ≤ 0.023 for all).

Conclusions

The intensity distribution of activity and initial acceleration for the most active 2, 5, 15, 30, 60, and 120 min within the 24-h cycle are beneficial for the prevention of excess adiposity in the paediatric population.