Neighborhood socioeconomic differences in BMI: The role of fast-food outlets and physical activity facilities

ObjectiveThe goal of this study was to investigate the association between neighborhood socioeconomic status (NSES) and BMI and to what extent this association is moderated by availability of fast-food (FF) outlets and pay-for-use physical activity (PA) facilities. MethodsBaseline data of adults in Lifelines (N = 146,629) were linked to Statistics Netherlands and a register using geocoding to compute, respectively, NSES (i.e., low, middle, high) and the number of FF outlets and PA facilities within 1 km of the residential address. Multivariable multilevel linear regression analyses were performed to examine the association between NSES and BMI. Two-way and three-way interaction terms were tested to examine moderation by FF outlets and PA facilities. ResultsParticipants living in low NSES areas had a higher BMI than participants living in high (B [95% CI]: 0.76 [0.65 to 0.87]) or middle NSES areas (B [95% CI]: 0.40 [0.28 to 0.51]), independent of individual socioeconomic status. Although two- and three-way interactions between NSES, FF outlets, and PA facilities were significant, stratified analyses did not show consistent moderation patterns. ConclusionsPeople living in lower NSES areas had a higher BMI, independent of their individual socioeconomic status. The study found no clear moderation of FF outlets and PA facilities. Environmental factors that may mitigate NSES differences in BMI should be the subject of future research.

Automated summary

The goal of this study was to examine the association between neighborhood socioeconomic status (NSES) and BMI, and the potential moderating effects of fast-food outlets and pay-for-use physical activity facilities. The results showed that individuals living in low NSES areas had higher BMI, independent of individual socioeconomic status. While there were significant interactions between NSES, fast-food outlets, and physical activity facilities, the moderation effects were not consistent. Future research should focus on identifying environmental factors that can alleviate NSES disparities in BMI.