TY - JOUR
T1 - Active commuting to school
T2 - A longitudinal analysis examining persistence of behavior over time in four New Jersey cities
AU - DeWeese, Robin S.
AU - Acciai, Francesco
AU - Tulloch, David
AU - Lloyd, Kristen
AU - Yedidia, Michael J.
AU - Ohri-Vachaspati, Punam
N1 - Funding Information: This work was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health (1R01HD071583-01A1); the National Heart, Lung, and Blood Institute, National Institutes of Health (1R01HL137814-01); and the Robert Wood Johnson Foundation. The funders had no involvement in study design; collection, analysis, and interpretation of data; writing; or the decision to submit the article for publication. Publisher Copyright: © 2022 The Author(s)
PY - 2022/4
Y1 - 2022/4
N2 - Evidence suggests that healthy behaviors initiated during childhood may continue over time. The objective of this study was to determine whether active commuting to/from school (ACS) at baseline predicted continued ACS at follow-up two to five years later. Two cohorts of households with 3–15 year-olds in four low-income New Jersey cities were randomly sampled and followed for two to five year periods between 2009 and 2017. Children who walked, bicycled, or skateboarded to/from school at least one day/week were classified as active commuters. Children with complete data at both time points were included in this analysis (n = 383). Multivariate logistic regression was used to examine the association between ACS at T1 and T2. Models adjusted for child age, sex, and race/ethnicity; parent's education and nativity status (native-born vs foreign-born); household poverty level; car availability; neighborhood level characteristics; and distance from home to school. Children who engaged in ACS at T1 had over seven times the odds of ACS at T2 compared to children who did not actively commute at T1 (p < 0.001), after adjusting for distance to school and other relevant covariates. Distance, regardless of active commuting status at T1 was inversely associated with active commuting at T2. Policies and interventions encouraging ACS, and those that decrease the distance between a child's home and school, may result in increased, habitual active commuting and physical activity behavior throughout childhood and possibly into adulthood.
AB - Evidence suggests that healthy behaviors initiated during childhood may continue over time. The objective of this study was to determine whether active commuting to/from school (ACS) at baseline predicted continued ACS at follow-up two to five years later. Two cohorts of households with 3–15 year-olds in four low-income New Jersey cities were randomly sampled and followed for two to five year periods between 2009 and 2017. Children who walked, bicycled, or skateboarded to/from school at least one day/week were classified as active commuters. Children with complete data at both time points were included in this analysis (n = 383). Multivariate logistic regression was used to examine the association between ACS at T1 and T2. Models adjusted for child age, sex, and race/ethnicity; parent's education and nativity status (native-born vs foreign-born); household poverty level; car availability; neighborhood level characteristics; and distance from home to school. Children who engaged in ACS at T1 had over seven times the odds of ACS at T2 compared to children who did not actively commute at T1 (p < 0.001), after adjusting for distance to school and other relevant covariates. Distance, regardless of active commuting status at T1 was inversely associated with active commuting at T2. Policies and interventions encouraging ACS, and those that decrease the distance between a child's home and school, may result in increased, habitual active commuting and physical activity behavior throughout childhood and possibly into adulthood.
KW - Children
KW - Habits
KW - Physical activity
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U2 - 10.1016/j.pmedr.2022.101718
DO - 10.1016/j.pmedr.2022.101718
M3 - Article
SN - 2211-3355
VL - 26
JO - Preventive Medicine Reports
JF - Preventive Medicine Reports
M1 - 101718
ER -