Parent’s sociodemographic factors, physical activity and active commuting are predictors of independent mobility to school
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AuthorRodríguez Rodríguez, Fernando; Gálvez-Fernández, Patricia; Huertas-Delgado, Francisco Javier; Aranda Balboa, María Jesús; Saucedo Araújo, Romina Gisele; Herrador Colmenero, Manuel
Active transportActive behaviourSchoolchildrenYouthAutonomyFamily
Rodríguez-Rodríguez, F., Gálvez-Fernández, P., Huertas-Delgado, F.J. et al. Parent’s sociodemographic factors, physical activity and active commuting are predictors of independent mobility to school. Int J Health Geogr 20, 26 (2021). [https://doi.org/10.1186/s12942-021-00280-2]
SponsorshipANID; Agencia Nacional de Investigación y Desarrollo de Chile; Ministry of Education of Chile CONICYT 74200025,MEC 80150030; Ministry of Knowledge, Research and Universities; Spanish Ministry of Education and Vocational Training FPU17/03934; University of Granada Plan Propio de Investigación; University of Granada and Junta de Andalucía; Ministerio de Economía y Competitividad MINECO; European Social Fund ESF; European Regional Development Fund DEP2016-75598-R ERDF; Ministerio de Economía, Industria y Competitividad, Gobierno de España MINECO; Junta de Andalucía; Consejería de Conocimiento, Investigación y Universidad, Junta de Andalucía SOMM17/6107/UGR
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.