儿童主动通勤及其与血压和肥胖指标的关联。

Active commuting and its associations with blood pressure and adiposity markers in children.

作者信息

Machado-Rodrigues Aristides M, Santana Ana, Gama Augusta, Mourão Isabel, Nogueira Helena, Rosado Victor, Mota Jorge, Padez Cristina

机构信息

Research Centre for Anthropology and Health, University of Coimbra, Portugal.

Research Centre in Health and Human Development, University of Tras-os-Montes and Alto Douro, Quinta de Prados, 5001-801 Vila Real, Portugal.

出版信息

Prev Med. 2014 Dec;69:132-4. doi: 10.1016/j.ypmed.2014.09.001. Epub 2014 Sep 20.

DOI:10.1016/j.ypmed.2014.09.001

PMID:25251101

Abstract

OBJECTIVE

The positive impacts of active travel on health markers still require further research, especially in youth populations with higher risk of obesity. The present study aimed to analyze the associations between blood pressure and adiposity risk (BPAR) and active travel to school in children.

METHODS

The sample comprised 665 Portuguese children (345 boys) aged 7-9 years. Data on height, weight, and skinfold thickness were collected by a trained fieldworker as well as data on BPAR between March 2009 and January 2010 (data were analyzed in 2012-2013). Information on mode and duration of travel to school (i.e. exposure) was gathered by questionnaire. Outcome variables were statistically normalized and expressed as Z scores. A BPAR score was computed as the mean of the Z scores. Multiple linear regression, with adjustments for confounders, was used.

RESULTS

Active commuting was inversely associated with BPAR after adjustment for several potential confounders. After adjusting for BMI, the strength of the relationship between BPAR and active commuting was significantly improved (p≤0.01).

CONCLUSIONS

Findings showed an independent association between the clustered BPAR and active commuting in children aged 7-9 years.

摘要

目的

积极出行对健康指标的积极影响仍需进一步研究，尤其是在肥胖风险较高的青少年人群中。本研究旨在分析儿童血压与肥胖风险（BPAR）以及步行或骑自行车上学之间的关联。

方法

样本包括665名7至9岁的葡萄牙儿童（345名男孩）。2009年3月至2010年1月期间，由经过培训的现场工作人员收集身高、体重和皮褶厚度数据以及BPAR数据（2012 - 2013年进行数据分析）。通过问卷调查收集上学出行方式和时长（即暴露因素）的信息。对结果变量进行统计标准化并表示为Z分数。计算BPAR分数作为Z分数的平均值。采用多元线性回归，并对混杂因素进行调整。