Martín-Moraleda Evelyn, Pinilla-Quintana Iván, Romero-Blanco Cristina, Hernández-Martínez Antonio, Jiménez-Zazo Fabio, Dorado-Suárez Alberto, García-Coll Virginia, Cabanillas-Cruz Esther, Martínez-Romero Maria Teresa, Herrador-Colmenero Manuel, Queralt Ana, Castro-Lemus Nuria, Aznar Susana
PAFS Research Group, Faculty of Sports Sciences, University of Castilla-La Mancha, 45004 Toledo, Spain.
PAFS Research Group, Faculty of Nursing, University of Castilla-La Mancha, 13071 Ciudad Real, Spain.
Children (Basel). 2023 Jan 3;10(1):95. doi: 10.3390/children10010095.
The aim of this study was to study different ‘healthy profiles’ through the impact of multiple lifestyle behaviours (sleep patterns, screen time and quality diet) on active commuting to school (ACS) in adolescents. Sixteen secondary schools from four Spanish cities were randomly selected. All participants filled in an “Ad-Hoc” questionnaire to measure their mode of commuting and distance from home to school and their lifestyle behaviours. A multivariate logistic regression model was performed to analyse the main predictor variables of ACS. The final sample was 301 adolescents (50.2% girls; mean age ± SD: 14.9 ± 0.48 years). The percentage of ACS was 64.5%. Multiple logistic regressions showed: boys were more active commuters than girls [OR = 2.28 (CI 95%: 1.12−4.64); p = 0.02]; adolescents who lived farther had lower probability to ACS [OR = 0.74 (CI 95%: 0.69−0.80); p < 0.001]; adolescents who met sleep duration recommendations were more likely to ACS [OR = 3.05 (CI 95%: 1.07−8.69); p = 0.04], while with each hour of sleep, the odds of ACS was reduced [OR = 0.51 (CI 95%: 0.30−0.89); p = 0.02]; higher odds were shown to ACS in adolescents who have more adherence to MD [OR = 1.16(CI 95%: 1.00−1.33); p = 0.05]; and habitual breakfast consumption was inversely associated with ACS [OR = 0.41 (CI: 95%: 0.18−0.96); p = 0.04]. ACS was associated with being a boy, living at a shorter distance to school, a daily sleep time ≥ 8 h and presented a higher adherence to MD.
本研究旨在通过多种生活方式行为（睡眠模式、屏幕使用时间和优质饮食）对青少年步行或骑车上学（ACS）的影响来研究不同的“健康状况”。从西班牙四个城市随机选取了16所中学。所有参与者填写了一份“特制”问卷，以测量他们的上学通勤方式、家到学校的距离以及他们的生活方式行为。进行多变量逻辑回归模型分析ACS的主要预测变量。最终样本为301名青少年（50.2%为女孩；平均年龄±标准差：14.9±0.48岁）。ACS的比例为64.5%。多变量逻辑回归显示：男孩比女孩更倾向于步行或骑车上学[比值比（OR）=2.28（95%置信区间：1.12−4.64）；p=0.02]；住得较远的青少年步行或骑车上学的可能性较低[OR=0.74（95%置信区间：0.69−0.80）；p<0.001]；达到睡眠时间建议的青少年更有可能步行或骑车上学[OR=3.05（95%置信区间：1.07−8.69）；p=0.04]，而每增加一小时睡眠，步行或骑车上学的几率就降低[OR=0.51（95%置信区间：0.30−0.89）；p=0.02]；更严格遵守地中海饮食（MD）的青少年步行或骑车上学的几率更高[OR=1.16（95%置信区间：1.00−1.33）；p=0.05]；经常吃早餐与步行或骑车上学呈负相关[OR=0.41（95%置信区间：0.18−0.96）；p=0.04]。步行或骑车上学与男性、住得离学校较近、每日睡眠时间≥8小时以及更严格遵守地中海饮食有关。
