Literature DB >> 24512572

Factors associated with active commuting to work among women.

Melissa Bopp1, Stephanie Child, Matthew Campbell.   

Abstract

Active commuting (AC), the act of walking or biking to work, has notable health benefits though rates of AC remain low among women. This study used a social-ecological framework to examine the factors associated with AC among women. A convenience sample of employed, working women (n = 709) completed an online survey about their mode of travel to work. Individual, interpersonal, institutional, community, and environmental influences were assessed. Basic descriptive statistics and frequencies described the sample. Simple logistic regression models examined associations with the independent variables with AC participation and multiple logistic regression analysis determined the relative influence of social ecological factors on AC participation. The sample was primarily middle-aged (44.09±11.38 years) and non-Hispanic White (92%). Univariate analyses revealed several individual, interpersonal, institutional, community and environmental factors significantly associated with AC. The multivariable logistic regression analysis results indicated that significant factors associated with AC included number of children, income, perceived behavioral control, coworker AC, coworker AC normative beliefs, employer and community supports for AC, and traffic. The results of this study contribute to the limited body of knowledge on AC participation for women and may help to inform gender-tailored interventions to enhance AC behavior and improve health.

Entities:  

Mesh:

Year:  2014        PMID: 24512572     DOI: 10.1080/03630242.2014.883663

Source DB:  PubMed          Journal:  Women Health        ISSN: 0363-0242


  15 in total

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9.  Change in active transportation and weight gain in pregnancy.

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Journal:  Int J Behav Nutr Phys Act       Date:  2016-01-27       Impact factor: 6.457

10.  Workplace neighbourhood built environment and workers' physically-active and sedentary behaviour: a systematic review of observational studies.

Authors:  Chien-Yu Lin; Mohammad Javad Koohsari; Yung Liao; Kaori Ishii; Ai Shibata; Tomoki Nakaya; Gavin R McCormack; Nyssa Hadgraft; Neville Owen; Koichiro Oka
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