Annual Motor Vehicle Travel Distance and Incident Obesity

Núñez‐Córdoba, Jorge M.; Bes–Rastrollo, Maira; Pollack, Keshia M.; Seguí-Gómez, María; Beunza, Juan J.; Sayón-Orea, Carmen; Martínez‐González, Miguel A.

doi:10.1016/j.amepre.2012.10.019

Cited by 12 publications

(17 citation statements)

References 37 publications

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“…Yang and French (2013) included self-reported minutes of driving time as well as the proportion of total traveling and commuting time spent in a motor vehicle. One study only (Nunez-Cordoba et al, 2013) provided evidence of reliability or validity for their measures of driving time or distance.…”

Section: Measurement Of Driving Behaviormentioning

confidence: 96%

“…However, two studies did include objective-assessment of respondent weight status (e.g., weight, height, waist circumference, and abdominal obesity) measured by trained personnel (Florez Pregonero et al, 2012;Jilcott et al, 2011). All studies included a continuous (Behzad et al, 2012;Jacobson and King, 2009;Jilcott et al, 2011;Yang and French, 2013) or categorical (Florez Pregonero et al, 2012;Frank et al, 2004Frank et al, , 2010Goodman et al, 2012;Nunez-Cordoba et al, 2013;Swanson and McCormack, 2012;Yang and French, 2013) measure of body mass index (BMI; weight/height 2 ).…”

Section: Measurement Of Weight Statusmentioning

confidence: 99%

“…Four studies used binary or polytomous logistic (Florez Pregonero et al, 2012;Frank et al, 2004Frank et al, , 2010Swanson and McCormack, 2012), four used linear (Goodman et al, 2012;Jacobson and King, 2009;Jilcott et al, 2011;Yang and French, 2013), one used ridge and partial least squares (Behzad et al, 2012), and one used cox regression (Nunez-Cordoba et al, 2013). The measured covariates included in the regression models estimating associations between driving behavior and weight status varied across studies.…”

Section: Associations Between Driving Behavior and Weight Statusmentioning

confidence: 99%

“…The study designs consisted of seven cross-sectional (Florez Pregonero et al, 2012;Frank et al, 2004Frank et al, , 2010Goodman et al, 2012;Jilcott et al, 2011;Swanson and McCormack, 2012;Yang and French, 2013), two longitudinal/ecological (Behzad et al, 2012;Jacobson and King, 2009), and one prospective cohort study (Nunez-Cordoba et al, 2013). All but two studies reported recruitment of participants using probability sampling -Nunez-Cordoba et al (2013) recruited a purposive sample of university students while Jilcott et al (2011) recruited women from a Department of Social Services waiting room area.…”

Section: Study Background Characteristicsmentioning

confidence: 99%

“…Driving distance and time were commonly captured over a period of a day (Frank et al, 2004(Frank et al, , 2010Jilcott et al, 2011;Yang and French, 2013), week (Florez Pregonero et al, 2012;Goodman et al, 2012;Swanson and McCormack, 2012), or year (Behzad et al, 2012;Jacobson and King, 2009;Nunez-Cordoba et al, 2013). While not specifying how data were originally captured, Jacobson and King (2009) and Behzad et al (2012) used existing US transportation data on vehicle miles traveled (VMT) per licensed driver (LD).…”

Section: Measurement Of Driving Behaviormentioning

confidence: 99%

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Driving towards obesity: A systematized literature review on the association between motor vehicle travel time and distance and weight status in adults

McCormack

Virk

2014

Preventive Medicine

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Section: Measurement Of Driving Behaviormentioning

confidence: 96%

Section: Measurement Of Weight Statusmentioning

confidence: 99%

Section: Associations Between Driving Behavior and Weight Statusmentioning

confidence: 99%

Section: Study Background Characteristicsmentioning

confidence: 99%

Section: Measurement Of Driving Behaviormentioning

confidence: 99%

See 3 more Smart Citations

Driving towards obesity: A systematized literature review on the association between motor vehicle travel time and distance and weight status in adults

McCormack

Virk

2014

Preventive Medicine

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Walk Score®

Brown

Pantín

Lombard

et al. 2013

American Journal of Preventive Medicine

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Background Walk Score® is a nationally and publicly available metric of neighborhood walkability based on proximity to amenities (e.g., retail, food, schools). However, few studies have examined the relationship of Walk Score to walking behavior. Purpose To examine the relationship of Walk Score to walking behavior in a sample of recent Cuban immigrants, who overwhelmingly report little choice in their selection of neighborhood built environments when they arrive in the U.S. Methods Participants were 391 recent healthy Cuban immigrants (M age=37.1 years) recruited within 90 days of arrival in the U.S., and assessed within 4 months of arrival (M=41.0 days in the U.S.), who resided throughout Miami-Dade County FL. Data on participants’ addresses, walking and sociodemographics were collected prospectively from 2008 to 2010. Analyses conducted in 2011 examined the relationship of Walk Score for each participant’s residential address in the U.S. to purposive walking, controlling for age, gender, education, BMI, days in the U.S., and habitual physical activity level in Cuba. Results For each 10-point increase in Walk Score, adjusting for covariates, there was a significant 19% increase in the likelihood of purposive walking, a 26% increase in the likelihood of meeting physical activity recommendations by walking, and 27% more minutes walked in the previous week. Conclusions Results suggest that Walk Score is associated with walking in a sample of recent immigrants who initially had little choice in where they lived in the U.S. These results support existing guidelines indicating that mixed land use (such as parks and restaurants near homes) should be included when designing walkable communities.

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