BACKGROUND: This study aimed: (i) to describe the patterns of commuting to school in urban Spanish adolescents; and (ii) to examine the associations between active commuting to school (ACS) and socio-economic factors. METHODS: From the AVENA Study, 2183 adolescents (1142 females) aged 13-18.5 years were gathered. Mode and time of transportation to school were self-reported by the adolescents. Parental education level (primary, secondary or university degree), parental professional level (managerial, skilled worker or unskilled worker/unemployed) and the type of school (public or private) were self-reported by the parents. The relationships between ACS and socio-economic factors were analysed by binary logistic regression. RESULTS: Nearly <65% of the adolescents reported ACS and 83% of them spent <15 min travelling to school. In male adolescents, maternal primary education level showed an odds ratio (OR) of 1.55 (95% confidence interval, 1.12-2.15), with respect to mothers with a university degree. In female adolescents, mothers with a primary education level showed an OR of 0.68 (0.50-0.92), with respect to mothers with a university degree. Low maternal professional level showed an OR of 1.70 (1.29-2.24), with respect to high maternal professional levels. Students attending public schools showed an OR of 3.47 (2.46-4.90), with respect to students from private schools. CONCLUSION: Most of the adolescents actively commuted to school, yet the time spent commuting was low. Socio-economic level seems to be inversely related to the ACS in adolescents. Type of school and maternal educational level were the main predictors of ACS.
BACKGROUND: This study aimed: (i) to describe the patterns of commuting to school in urban Spanish adolescents; and (ii) to examine the associations between active commuting to school (ACS) and socio-economic factors. METHODS: From the AVENA Study, 2183 adolescents (1142 females) aged 13-18.5 years were gathered. Mode and time of transportation to school were self-reported by the adolescents. Parental education level (primary, secondary or university degree), parental professional level (managerial, skilled worker or unskilled worker/unemployed) and the type of school (public or private) were self-reported by the parents. The relationships between ACS and socio-economic factors were analysed by binary logistic regression. RESULTS: Nearly <65% of the adolescents reported ACS and 83% of them spent <15 min travelling to school. In male adolescents, maternal primary education level showed an odds ratio (OR) of 1.55 (95% confidence interval, 1.12-2.15), with respect to mothers with a university degree. In female adolescents, mothers with a primary education level showed an OR of 0.68 (0.50-0.92), with respect to mothers with a university degree. Low maternal professional level showed an OR of 1.70 (1.29-2.24), with respect to high maternal professional levels. Students attending public schools showed an OR of 3.47 (2.46-4.90), with respect to students from private schools. CONCLUSION: Most of the adolescents actively commuted to school, yet the time spent commuting was low. Socio-economic level seems to be inversely related to the ACS in adolescents. Type of school and maternal educational level were the main predictors of ACS.
Authors: Palma Chillón; David Martínez-Gómez; Francisco B Ortega; Isaac J Pérez-López; Ligia E Díaz; Ana M Veses; Oscar L Veiga; Ascensión Marcos; Manuel Delgado-Fernández Journal: Int J Behav Med Date: 2013-12
Authors: Jason A Mendoza; Kathy Watson; Tom Baranowski; Theresa A Nicklas; Doris K Uscanga; Nga Nguyen; Marcus J Hanfling Journal: J Appl Res Child Date: 2010-09-30
Authors: Francisco Sergio Campos-Sánchez; Francisco Javier Abarca-Álvarez; Javier Molina-García; Palma Chillón Journal: Int J Environ Res Public Health Date: 2020-03-29 Impact factor: 3.390
Authors: Mohammad Lutfur Rahman; Antoni Moore; Melody Smith; John Lieswyn; Sandra Mandic Journal: Int J Environ Res Public Health Date: 2020-05-10 Impact factor: 3.390