Individual, parental and built environmental features as influencing factors of active travel to school in northeast China: findings from a cross-sectional study
ObjectivesActive 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 participantsA cross-sectional survey was conducted...
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Published in | BMJ open Vol. 12; no. 1; p. e047816 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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England
British Medical Journal Publishing Group
24.01.2022
BMJ Publishing Group LTD BMJ Publishing Group |
Series | Original research |
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Abstract | ObjectivesActive 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 participantsA 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.ResultsOur 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.ConclusionsThe 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. |
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AbstractList | 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. 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. 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. 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. 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. OBJECTIVESActive 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 PARTICIPANTSA 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. RESULTSOur 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. CONCLUSIONSThe 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. |
Author | Wang, Yinuo Ma, Yanan Ouellette, Miranda Song, Shenzhi Liu, Yang Gittelsohn, Joel Wen, Deliang |
AuthorAffiliation | 4 Biostatistics and Epidemiology , China Medical University Department of Social Sciences , Shenyang , Liaoning , China 1 Institute of Health Science , China Medical University , Shenyang , Liaoning , China 2 Center for Human Nutrition, Department of International Health , Johns Hopkins University Bloomberg School of Public Health , Baltimore , Maryland , USA 3 Johns Hopkins University Bloomberg School of Public Health , Baltimore , Maryland , USA |
AuthorAffiliation_xml | – name: 2 Center for Human Nutrition, Department of International Health , Johns Hopkins University Bloomberg School of Public Health , Baltimore , Maryland , USA – name: 1 Institute of Health Science , China Medical University , Shenyang , Liaoning , China – name: 4 Biostatistics and Epidemiology , China Medical University Department of Social Sciences , Shenyang , Liaoning , China – name: 3 Johns Hopkins University Bloomberg School of Public Health , Baltimore , Maryland , USA |
Author_xml | – sequence: 1 givenname: Yinuo orcidid: 0000-0003-3037-5340 surname: Wang fullname: Wang, Yinuo organization: Institute of Health Science, China Medical University, Shenyang, Liaoning, China – sequence: 2 givenname: Yang surname: Liu fullname: Liu, Yang organization: Institute of Health Science, China Medical University, Shenyang, Liaoning, China – sequence: 3 givenname: Shenzhi surname: Song fullname: Song, Shenzhi organization: Institute of Health Science, China Medical University, Shenyang, Liaoning, China – sequence: 4 givenname: Joel surname: Gittelsohn fullname: Gittelsohn, Joel organization: Center for Human Nutrition, Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA – sequence: 5 givenname: Miranda surname: Ouellette fullname: Ouellette, Miranda organization: Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA – sequence: 6 givenname: Yanan surname: Ma fullname: Ma, Yanan organization: Biostatistics and Epidemiology, China Medical University Department of Social Sciences, Shenyang, Liaoning, China – sequence: 7 givenname: Deliang orcidid: 0000-0002-4038-3849 surname: Wen fullname: Wen, Deliang email: dlwen@cmu.edu.cn organization: Institute of Health Science, China Medical University, Shenyang, Liaoning, China |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35074806$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_3390_ijerph20021131 crossref_primary_10_1057_s41599_023_02466_4 crossref_primary_10_3390_ijgi12030134 |
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Snippet | ObjectivesActive travel to school (ATS)-associated factors had been studied in some developed countries but rarely in China. We studied the associated factors... 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... Objectives Active travel to school (ATS)-associated factors had been studied in some developed countries but rarely in China. We studied the associated factors... OBJECTIVESActive travel to school (ATS)-associated factors had been studied in some developed countries but rarely in China. We studied the associated factors... |
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SubjectTerms | Aged Body composition Body mass index Built environment Child Childrens health community child health Cross-Sectional Studies Developed countries Education Environment Design epidemiology Geographic information systems Households Humans Land use Male Metabolism Neighborhoods Obesity Parents Parents & parenting Perceptions Public Health Public transportation Questionnaires Residence Characteristics Schools Self image Students Teenagers Transportation Urban environments Walking |
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Title | Individual, parental and built environmental features as influencing factors of active travel to school in northeast China: findings from a cross-sectional study |
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