Parent's sociodemographic factors, physical activity and active commuting are predictors of independent mobility to school.

BACKGROUND: Independent mobility (IM) provides young people with many opportunities to increase their autonomy and physical activity (PA). This study aimed to analyse whether the parent's PA, active commuting to work and sociodemographic factors serve as predictors of IM to school in children and adolescents. METHODS: A total of 684 parents (52.8% mothers) and their offspring (56.4% girls) were included in this study, which was performed in Granada (Spain) and Valparaíso (Chile). The parents self-reported their sociodemographic characteristics, PA and mode of commuting to work. The mode of commuting to and from school and the offspring accompaniment mode were reported. T-test and chi-square test were used to study quantitative and qualitative differences by parental gender, respectively. Binary logistic regression models (odds ratio = OR) and stepwise analysis were performed to study the association between the parents' sociodemographic variables and IM to school. RESULTS: Adolescents showed higher IM to school than children (58.9% vs 40.2%; p < 0.001). No car availability and shorter distance to work were positively associated with higher IM to school in children (OR = 2.22 and 2.29, respectively). Mothers' lower salary/month (OR = 2.75), no car availability (OR = 3.17), and mother passive commuting to work (OR = 2.61) were positively associated with higher IM to school in adolescents. The main predictor of IM to school in children and adolescents was no car availability (OR = 6.53). CONCLUSION: Parental sociodemographic factors, such as salary, distance to work and car availability, were associated more strongly with IM than parental PA and active commuting to work.

Is children's health-related quality of life associated with physical fitness and mode of commuting? PREVIENE Project.

AIM: The aims of this study were (1) to examine the associations between self-reported health-related quality of life (HRQoL), health-related physical fitness (cardiorespiratory fitness, muscular strength, and speed-agility), and mode of commuting to and from school in Spanish children, and separately by gender and (2) to analyse the difference in cardiorespiratory fitness by mode of commuting to and from school by gender. METHODS: We conducted a cross-sectional analysis that included 415 children aged 8.47 ± 0.36 years from 14 schools in Granada, Spain. The HRQoL outcome was assessed using the valid and reliable KINDL-R questionnaire, which covers six life dimensions, children's physical fitness was assessed using the ALPHA fitness test battery, and while commuting to and from school was assessed using the valid, reliable, and feasible 'Mode and Frequency of Commuting To and From School Questionnaire'. RESULTS: Cardiorespiratory fitness was positively correlated with all dimensions of HRQoL in boys, whereas higher muscular strength (standing long jump) was positively correlated with the emotional wellbeing dimension in girls. In addition, boys who actively commute to school (walking) presented better cardiorespiratory fitness. Moreover, children who actively commuted to school (walking) presented better scores for the emotional wellbeing, family, and school dimensions, as well as total scores (both, p < .05) of HRQoL. CONCLUSION: In our study, HRQoL was positively correlated with cardiorespiratory fitness in boys (all dimensions), whereas muscular strength (standing long jump) was positively correlated with the emotional wellbeing dimension only in girls. Active commuting to and from school was associated with higher levels of cardiorespiratory fitness, school dimension, and KINDL-R total score. Improving cardiorespiratory fitness might be especially useful to improve HRQoL in children, and vice versa.

Parental barriers to active transport to school: a systematic review.

OBJECTIVES: We aimed to systematically review parental barriers towards children and adolescents' active transport to school (ATS) in the scientific literature and to provide a categorization of the barriers identified in the studies. METHODS: A search was conducted through seven online databases, from the beginning of the database to March 2018. RESULTS: A total of 27 of the identified studies met the inclusion criteria. The main parental barriers reported by parents of children (21 studies) were built environment, traffic safety, distance, crime-related safety and social support. The main parental barriers reported by parents of adolescents (6 studies) were built environment (street connectivity), distance, traffic safety and physical and motivation barriers. The parental barriers associated with ATS were mainly related to the built environment and traffic safety. CONCLUSIONS: It is crucial to involve parents through interventions to reduce the perception of safety and to increase awareness of the importance of ATS. In addition, these strategies should be complemented by environmental changes performed by local governments.