Skip to main content
Journal cover image

Neighborhood Commute to Work Times and Self-Reported Caregiver Health Behaviors and Food Access.

Publication ,  Journal Article
White, MJ; Yin, HS; Rothman, RL; Sanders, LM; Delamater, A; Flower, K; Perrin, EM
Published in: Acad Pediatr
2019

OBJECTIVE: Time spent commuting is associated with obesity. The objective of this study was to assess the relationship between neighborhood-level commute to work (CTW) times and self-reported health behaviors and food access. METHODS: We conducted a cross-sectional analysis of caregivers with infants as part of the Greenlight Study, a multisite obesity trial in Chapel Hill, New York City, Nashville, and Miami. ZIP code-based commuting estimates were determined using the US Census American Community Survey. Self-reported health behaviors and food access data were collected by directed interview. Logistic and linear regression models were used to determine associations between neighborhood CTW times and health behaviors and food access. RESULTS: The average neighborhood CTW time for all ZIP codes was 29 minutes (n = 846). Caregivers in longer CTW time neighborhoods were more likely to endorse fewer food choices (adjusted odds ratio [AOR], 1.39; 95% confidence interval [CI], 1.15-1.69; P = .001) and difficulty accessing markets with fresh produce (AOR, 1.51; 95% CI, 1.02-2.25; P = .04). Neighborhood CTW time >30 minutes was associated with less caregiver physical activity (AOR, 0.58; 95% CI, 0.34-0.98; P = .044). Neighborhood CTW time was inversely related to infant television time (adjusted mean, 399 minutes/day for ≤30 minutes and 256 minutes/day for >30 minutes; P = .025). New York families in longer CTW neighborhoods were more likely to report difficulty accessing markets with fresh produce (AOR, 1.80; 95% CI, 1.03-3.14; P = .039). CONCLUSIONS: Neighborhood CTW time is associated with several self-reported health behaviors and perceived food access among caregivers with children. Neighborhood CTW times may represent city-specific features, including transportation infrastructure, which may impact the health of families.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Acad Pediatr

DOI

EISSN

1876-2867

Publication Date

2019

Volume

19

Issue

1

Start / End Page

74 / 79

Location

United States

Related Subject Headings

  • Vegetables
  • United States
  • Transportation
  • Time Factors
  • Residence Characteristics
  • Pediatrics
  • Mothers
  • Male
  • Logistic Models
  • Linear Models
 

Citation

APA
Chicago
ICMJE
MLA
NLM
White, M. J., Yin, H. S., Rothman, R. L., Sanders, L. M., Delamater, A., Flower, K., & Perrin, E. M. (2019). Neighborhood Commute to Work Times and Self-Reported Caregiver Health Behaviors and Food Access. Acad Pediatr, 19(1), 74–79. https://doi.org/10.1016/j.acap.2018.07.005
White, Michelle J., H Shonna Yin, Russell L. Rothman, Lee M. Sanders, Alan Delamater, Kori Flower, and Eliana M. Perrin. “Neighborhood Commute to Work Times and Self-Reported Caregiver Health Behaviors and Food Access.Acad Pediatr 19, no. 1 (2019): 74–79. https://doi.org/10.1016/j.acap.2018.07.005.
White MJ, Yin HS, Rothman RL, Sanders LM, Delamater A, Flower K, et al. Neighborhood Commute to Work Times and Self-Reported Caregiver Health Behaviors and Food Access. Acad Pediatr. 2019;19(1):74–9.
White, Michelle J., et al. “Neighborhood Commute to Work Times and Self-Reported Caregiver Health Behaviors and Food Access.Acad Pediatr, vol. 19, no. 1, 2019, pp. 74–79. Pubmed, doi:10.1016/j.acap.2018.07.005.
White MJ, Yin HS, Rothman RL, Sanders LM, Delamater A, Flower K, Perrin EM. Neighborhood Commute to Work Times and Self-Reported Caregiver Health Behaviors and Food Access. Acad Pediatr. 2019;19(1):74–79.
Journal cover image

Published In

Acad Pediatr

DOI

EISSN

1876-2867

Publication Date

2019

Volume

19

Issue

1

Start / End Page

74 / 79

Location

United States

Related Subject Headings

  • Vegetables
  • United States
  • Transportation
  • Time Factors
  • Residence Characteristics
  • Pediatrics
  • Mothers
  • Male
  • Logistic Models
  • Linear Models