Rodriguez-Rodriguez Fernando, Solis-Urra Patricio, Mota Jorge, Aranda-Balboa Maria Jesus, Barranco-Ruiz Yaira, Chillon Palma
IRyS Group, School of Physical Education, Pontificia Universidad Católica de Valparaíso, Valparaiso, Chile.
PROFITH "PROmoting FITness and Health Through Physical Activity" Research Group, Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain.
Front Pediatr. 2022 Apr 4;10:812673. doi: 10.3389/fped.2022.812673. eCollection 2022.
The main objective of the current study was to analyze how parents' sociodemographic characteristics, mode of commuting and physical activity (PA) act as indicators of active commuting to school (ACS) in their children and adolescents. A total of 684 paired parents (52.8% mothers) and their respective offspring (33.7% girls) were included. The participants self-reported their sociodemographic characteristics, mode of commuting, and PA. Logistic regression analyses were performed using a stepwise approach, including, as indicators, parental characteristics, mode of commuting and PA. The main outcome was child and adolescent ACS. The odds ratio (OR) and R of Nagelkerke were obtained for each step. Parental sociodemographic characteristics were greater indicators of child ACS than the parental mode of commuting and PA. In children, the greatest predictive variables of ACS explained 38% of the variance and were as follows: car availability (OR = 0.24), father's educational level (OR = 0.47), mother's educational level (OR = 1.95), mother's active commuting to work (OR = 4.52) and mother's salary/month (OR = 0.67). In adolescents, the greatest predictive variables of ACS explained 40% of the variance and were as follows: socioeconomic level (OR = 0.43) and father's active commuting (OR = 10.6). In conclusion, sociodemographic factors are better indicators of ACS than parents' physical activity and active commuting to work.
本研究的主要目的是分析父母的社会人口学特征、通勤方式和身体活动（PA）如何作为其子女和青少年积极步行或骑行上学（ACS）的指标。总共纳入了684对父母（母亲占52.8%）及其各自的子女（女孩占33.7%）。参与者自行报告了他们的社会人口学特征、通勤方式和身体活动情况。采用逐步法进行逻辑回归分析，将父母特征、通勤方式和身体活动作为指标。主要结果是儿童和青少年的积极步行或骑行上学情况。每一步都获得了比值比（OR）和Nagelkerke的R值。与父母的通勤方式和身体活动相比，父母的社会人口学特征是儿童积极步行或骑行上学的更强指标。在儿童中，积极步行或骑行上学的最大预测变量解释了38%的方差，具体如下：是否有车（OR = 0.24）、父亲的教育水平（OR = 0.47）、母亲的教育水平（OR = 1.95）、母亲积极步行或骑行上班（OR = 4.52）以及母亲的月工资（OR = 0.67）。在青少年中，积极步行或骑行上学的最大预测变量解释了40%的方差，具体如下：社会经济水平（OR = 0.43）和父亲积极步行或骑行上班（OR = 10.6）。总之，与父母的身体活动和积极步行或骑行上班相比，社会人口学因素是积极步行或骑行上学的更好指标。
