Individual, parental and built environmental features as influencing factors of active travel to school in northeast China: findings from a cross-sectional study

被引:5
|
作者
Wang, Yinuo [1 ]
Liu, Yang [1 ]
Song, Shenzhi [1 ]
Gittelsohn, Joel [2 ]
Ouellette, Miranda [3 ]
Ma, Yanan [4 ]
Wen, Deliang [1 ]
机构
[1] China Med Univ, Inst Hlth Sci, Shenyang, Liaoning, Peoples R China
[2] Johns Hopkins Univ, Dept Int Hlth, Bloomberg Sch Publ Hlth, Ctr Human Nutr, Baltimore, MD USA
[3] Johns Hopkins Univ, Bloomberg Sch Publ Hlth, Baltimore, MD USA
[4] China Med Univ, Biostat & Epidemiol, Dept Social Sci, Shenyang, Liaoning, Peoples R China
来源
BMJ OPEN | 2022年 / 12卷 / 01期
关键词
community child health; public health; epidemiology; CHILDRENS PHYSICAL-ACTIVITY; ELEMENTARY-SCHOOL; BODY-COMPOSITION; MODE CHOICE; WALKING; TRANSPORTATION; NEIGHBORHOOD; ASSOCIATION; IMPACT; DETERMINANTS;
D O I
10.1136/bmjopen-2020-047816
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objectives Active travel to school (ATS)-associated factors had been studied in some developed countries but rarely in China. We studied the associated factors of ATS at individual, parental and built environment domains in northeast China. Design and participants A cross-sectional survey was conducted among 4-6 grade students in 2017. Sociodemographic features and information of parents were collected using questionnaires, and SuperMap (a geographical information system software) was used to catch built environment features. Logistic regression models were used to examine the relationship between multilevel factors and ATS. Results Our study sample comprised 3670 primary school students aged from 8 to 15 (boys=51.0%, ATS=48.8%). Perceived to be fat (OR 1.25, 95% CI 1.00 to 1.55, p<0.05), feeling easy to walk for a short distance (OR 1.63, 95% CI 1.21 to 2.20, p<0.05), mother unemployed (OR 1.52, 95% CI 1.13 to 2.06, p<0.05), higher land use mix (OR 1.23, 95% CI 1.11 to 1.37, p<0.001) and higher density of public transport stations (OR 1.22, 95% CI 1.09 to 1.37, p<0.05) were positively associated with increased possibility of ATS, while higher household annual income (OR 0.60, 95% CI 0.44 to 0.83, p<0.05) and possession of private vehicles (OR 0.56, 95% CI 0.45 to 0.69, p<0.001) were negatively associated with possibility of ATS. Conclusions The significant factors associated with ATS were at every examined level, which implies multilevel interventions are needed to encourage ATS. Further interventions could focus on the children's willingness to lead students to opt for healthy behaviours, and children from wealthier families should be encouraged to choose ATS. Also, the government should improve built environment walkability so as to encourage ATS.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] A cross-sectional study of demographic, environmental and parental barriers to active school travel among children in the United States
    Chillon, Palma
    Hales, Derek
    Vaughn, Amber
    Gizlice, Ziya
    Ni, Andy
    Ward, Dianne S.
    INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, 2014, 11
  • [2] Natural and built environmental exposures on children's active school travel: A Dutch global positioning system-based cross-sectional study
    Helbich, Marco
    van Emmichoven, Maarten J. Zeylmans
    Dijst, Martin J.
    Kwan, Mei-Po
    Pierik, Frank H.
    de Vries, Sanne I.
    HEALTH & PLACE, 2016, 39 : 101 - 109
  • [3] Descriptive epidemiology of the prevalence of adolescent active travel to school in Asia: a cross-sectional study from 31 countries
    Maulida, Rizka
    Ikeda, Erika
    Oni, Tolu
    van Sluijs, Esther M. F.
    BMJ OPEN, 2022, 12 (04):
  • [4] On your bike! a cross-sectional study of the individual, social and environmental correlates of cycling to school
    Trapp, Georgina S. A.
    Giles-Corti, Billie
    Christian, Hayley E.
    Bulsara, Max
    Timperio, Anna F.
    McCormack, Gavin R.
    Villaneuva, Karen P.
    INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, 2011, 8
  • [5] Built Environment and Active Transport to School (BEATS) Study: protocol for a cross-sectional study
    Mandic, Sandra
    Williams, John
    Moore, Antoni
    Hopkins, Debbie
    Flaherty, Charlotte
    Wilson, Gordon
    Bengoechea, Enrique Garcia
    Spence, John C.
    BMJ OPEN, 2016, 6 (05):
  • [6] Prevalence of Myopia and Influencing Factors among High School Students in Nantong, China: A Cross-Sectional Study
    Zhou, Yue
    Huang, Xiao Bo
    Cao, Xin
    Wang, Min
    Jin, Nan Xi
    Gong, Ye Xun
    Xiong, Yao Jia
    Cai, Qi
    Zhu, Yan
    Song, Yu
    Sun, Zhi Min
    OPHTHALMIC RESEARCH, 2023, 66 (01) : 27 - 38
  • [7] Individual and organizational factors influencing workplace cyberbullying of nurses: A cross-sectional study
    Kim, Youngji
    Choi, Jeong Sil
    NURSING & HEALTH SCIENCES, 2021, 23 (03) : 715 - 722
  • [8] Associations between environmental perception and self-rated health in the city hierarchy of China: Findings from a national cross-sectional survey
    Sun, Wenyao
    Wu, Ying
    Wang, Lan
    Li, Xiaotian
    Guo, Qiaoni
    Hu, Zhanzhan
    SOCIAL SCIENCE & MEDICINE, 2024, 348
  • [9] Associations Between Environmental Characteristics and Active Commuting to School Among Children: a Cross-sectional Study
    Aarts, Marie-Jeanne
    Mathijssen, Jolanda J. P.
    van Oers, Johannes A. M.
    Schuit, Albertine J.
    INTERNATIONAL JOURNAL OF BEHAVIORAL MEDICINE, 2013, 20 (04) : 538 - 555
  • [10] Fear of childbirth and influencing factors of expectant fathers in China: a cross-sectional study
    Xue, Bing
    Wang, Xin
    Chen, Huijun
    Redding, Sharon R.
    Wei, Wei
    Ouyang, Yan-Qiong
    PSYCHOLOGY HEALTH & MEDICINE, 2024, 29 (08) : 1411 - 1424