Bere Elling, Oenema Anke, Prins Richard G, Seiler Stephen, Brug Johannes
Department of Public Health, Sport and Nutrition, University of Agder , Norway.
Int J Pediatr Obes. 2011 Aug;6(3-4):182-7. doi: 10.3109/17477166.2011.583656. Epub 2011 Jun 7.
The objective of the present study was to assess the longitudinal association between cycling to school and weight status in two cities where cycling to school is common - Kristiansand (Norway) and Rotterdam (The Netherlands).
Data from two studies ENDORSE (Rotterdam) and YOUTH IN BALANCE (Kristiansand) were used. Both studies were longitudinal with two years between time (T) 1 and T2 measurements, and with mean age at T1 of 13.2 and 13.4 years, respectively. The sample was categorized into the following groups according to responses about main mode of commuting to school at the two time points: NO cycling, STARTED cycling, STOPPED cycling and CONTINUED cycling. Measured weight and height were obtained at both time points, and weight status (overweight vs. not overweight) was calculated using international classification criteria for BMI. The two datasets were analyzed separately and together.
In multilevel logistic regression models of the combined sample, adjusting for weight status at Time 1, those who stopped cycling had greater odds of being overweight at T2 (OR = 3.19; 95% CI = 1.41?7.24) while those continued cycling had lower odds of being overweight (OR = 0.44; 95% CI = 0.21?0.88), separately compared to the other three groups together. The same trend was observed in both study samples.
This study shows that there are longitudinal associations between cycling to school and weight status in two cities where cycling to school is common, implying that interventions aiming at reducing overweight/obesity among adolescents might consider the promotion of sustained cycling behaviour.
本研究的目的是评估在两个以骑车上学较为普遍的城市——挪威克里斯蒂安桑和荷兰鹿特丹,骑车上学与体重状况之间的纵向关联。
使用了两项研究的数据,即鹿特丹的ENDORSE研究和克里斯蒂安桑的“青春平衡”研究。两项研究均为纵向研究,在时间(T)1和T2测量之间间隔两年,T1时的平均年龄分别为13.2岁和13.4岁。根据两个时间点关于上学主要通勤方式的回答,将样本分为以下几组:不骑车、开始骑车、停止骑车和继续骑车。在两个时间点均获取了测量的体重和身高,并使用国际BMI分类标准计算体重状况(超重与非超重)。对两个数据集分别进行分析,也进行了合并分析。
在合并样本的多水平逻辑回归模型中,对T1时的体重状况进行调整后,与其他三组合并相比,停止骑车的人在T2时超重的几率更高(OR = 3.19;95%CI = 1.41 - 7.24),而继续骑车的人超重的几率更低(OR = 0.44;95%CI = 0.21 - 0.88)。在两项研究样本中均观察到相同趋势。
本研究表明,在两个骑车上学较为普遍的城市,骑车上学与体重状况之间存在纵向关联,这意味着旨在减少青少年超重/肥胖的干预措施可能需要考虑促进持续的骑车行为。