2019
DOI: 10.1016/j.jth.2019.100615
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Prevalence and patterns of active commuting according to socio-demographic factors in the Chilean population

Abstract: The material cannot be used for any other purpose without further permission of the publisher and is for private use only.There may be differences between this version and the published version. You are advised to consult the publisher's version if you wish to cite from it.

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Cited by 7 publications
(8 citation statements)
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References 28 publications
(38 reference statements)
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“…The prevalence of active commuting in our sample (34.5%) was lower than in studies conducted abroad, although differences in the population and economic development between countries should be taken into consideration. [19][20] On a national level, the prevalence of active commuting was similar to other studies in Paraíba (29.9% men and 18.5% women) and Rio Grande do Sul (26.5% general prevalence). [21][22] Regarding the demographic factors associated with commuting type, individuals living without a partner tend to be more active than those who are married or living with a partner.…”
Section: Discussionsupporting
confidence: 83%
“…The prevalence of active commuting in our sample (34.5%) was lower than in studies conducted abroad, although differences in the population and economic development between countries should be taken into consideration. [19][20] On a national level, the prevalence of active commuting was similar to other studies in Paraíba (29.9% men and 18.5% women) and Rio Grande do Sul (26.5% general prevalence). [21][22] Regarding the demographic factors associated with commuting type, individuals living without a partner tend to be more active than those who are married or living with a partner.…”
Section: Discussionsupporting
confidence: 83%
“…A series of one-way ANOVA has been performed to understand the impacts of travel mode on the university on time-use decisions ( Nieuwenhuijsen and Khreis, 2020 ; Waddell et al, 2019 ). The time spent in each sub-activities under each primary activity has been aggregated for the ANOVA analysis due to the limited sample size (n = 203).…”
Section: Descriptive Analysismentioning
confidence: 99%
“…Further, the posthoc analysis reveals that the mean difference in time spent for sedentary activities between active and private mode users is significant for both cases. The trends in time spent on physical activities across the three groups indicate that active mode users spend the highest time, followed by public mode users ( Waddell et al, 2019 ). Although the trends are similar before and during the lockdown times, the mean time difference was significant only for the before lockdown scenario.…”
Section: Descriptive Analysismentioning
confidence: 99%
“…In São Paulo (Brazil), the more educated are more likely to walk, 45 while in Chile, the prevalence of active commuting is associated with lower socioeconomic status and lower physical activity. 46 …”
Section: Reducing Inequitiesmentioning
confidence: 99%
“…In São Paulo (Brazil), the more educated are more likely to walk, 45 while in Chile, the prevalence of active commuting is associated with lower socioeconomic status and lower physical activity. 46 Urban design and transportation infrastructure can also have as substantial an impact on commute mode choice as household income. A study of the 100 largest urban areas in Mexico showed that people in denser urban areas with jobs concentrated there were less likely to drive; the same applies to cities with more public transportation options.…”
Section: Reducing Inequitiesmentioning
confidence: 99%