OBJECTIVE: To assess the prevalence and socio-demographic correlates of walking and cycling to school in a nationwide representative cross-sectional sample of German adolescents. METHODS: A sample of 1828 German adolescents aged 11-17 years were examined between 2003 and 2006. Mode of commuting to school was assessed using a reliable self-report measure. Socioeconomic status, migration background and residential area were assessed as socio-demographic variables using a parent-report questionnaire. RESULTS: Overall, 19.4% of adolescents walked and 22.2% cycled to school. Compared to girls with high socioeconomic status, girls with low socioeconomic status were more likely to walk (OR = 1.89, 95% CI = 1.23-2.89). Migration background increased the chance of walking in girls (OR = 0.47, 95% CI = 0.32-0.70) and decreased the chance of cycling in boys (OR = 2.39, 95% CI = 1.35-4.24). Compared to living in cities, living in rural areas lowered the chance of walking (girls: OR = 0.29, 95% CI = 0.18-0.50; boys: OR = 0.54, 95% CI = 0.32-0.93) and cycling (girls: OR = 0.12, 95% CI = 0.06-0.24; boys: OR = 0.34, 95% CI = 0.21-0.56), and living in medium-sized towns increased the chance of cycling in girls (OR = 1.86, 95% CI = 1.24-2.78) and boys (OR = 1.75, 95% CI = 1.20-2.56), respectively. CONCLUSIONS: In Germany many adolescents use motorised transportation. Socio-demographic variables were associated with mode of commuting.
OBJECTIVE: To assess the prevalence and socio-demographic correlates of walking and cycling to school in a nationwide representative cross-sectional sample of German adolescents. METHODS: A sample of 1828 German adolescents aged 11-17 years were examined between 2003 and 2006. Mode of commuting to school was assessed using a reliable self-report measure. Socioeconomic status, migration background and residential area were assessed as socio-demographic variables using a parent-report questionnaire. RESULTS: Overall, 19.4% of adolescents walked and 22.2% cycled to school. Compared to girls with high socioeconomic status, girls with low socioeconomic status were more likely to walk (OR = 1.89, 95% CI = 1.23-2.89). Migration background increased the chance of walking in girls (OR = 0.47, 95% CI = 0.32-0.70) and decreased the chance of cycling in boys (OR = 2.39, 95% CI = 1.35-4.24). Compared to living in cities, living in rural areas lowered the chance of walking (girls: OR = 0.29, 95% CI = 0.18-0.50; boys: OR = 0.54, 95% CI = 0.32-0.93) and cycling (girls: OR = 0.12, 95% CI = 0.06-0.24; boys: OR = 0.34, 95% CI = 0.21-0.56), and living in medium-sized towns increased the chance of cycling in girls (OR = 1.86, 95% CI = 1.24-2.78) and boys (OR = 1.75, 95% CI = 1.20-2.56), respectively. CONCLUSIONS: In Germany many adolescents use motorised transportation. Socio-demographic variables were associated with mode of commuting.
Authors: Anne K Reimers; Patrick Brzoska; Claudia Niessner; Steffen C E Schmidt; Annette Worth; Alexander Woll Journal: PLoS One Date: 2019-03-18 Impact factor: 3.240
Authors: Yaira Barranco-Ruiz; Alfredo Xavier Guevara-Paz; Robinson Ramírez-Vélez; Palma Chillón; Emilio Villa-González Journal: Int J Environ Res Public Health Date: 2018-11-30 Impact factor: 3.390
Authors: Javier Zaragoza; Ana Corral; Sergio Estrada; Ángel Abós; Alberto Aibar Journal: Int J Environ Res Public Health Date: 2019-10-09 Impact factor: 3.390
Authors: Dorothea M I Schönbach; Teatske M Altenburg; Adilson Marques; Mai J M Chinapaw; Yolanda Demetriou Journal: Int J Behav Nutr Phys Act Date: 2020-11-12 Impact factor: 6.457
Authors: Dorothea M I Schönbach; Catherina Vondung; Lisan M Hidding; Teatske M Altenburg; Mai J M Chinapaw; Yolanda Demetriou Journal: Int J Environ Res Public Health Date: 2020-09-20 Impact factor: 3.390