Abstract

Background: Access to fast food outlets (FFO) has increased in recent years and may decrease diet quality and increase cardiovascular disease risk. Inflammation is a well-established cardiovascular disease risk factor, but it remains unclear whether inflammation is one of the pathways explaining associations between the food environment and inflammatory markers. Methods: We included 6,609 participants from the US-based Nurses’ Health Study II (NHS-II), a prospective cohort of registered female nurses. Counts of FFO were obtained from the Infogroup US Historical Business Data within 1500-meter circular buffers and assigned to participants’ residential addresses from 1998 to 2011. Biomarkers included C-reactive protein (CRP), Interleukin-6 (IL-6), Tumor necrosis factor α receptor 2 (TNFαR2, in a subset), and adiponectin. We evaluated cross-sectional associations between counts of FFO (1998) and inflammatory markers (1999) in linear regression models and evaluated longitudinal associations by the change in counts of FFO between 1998 and 2010 and the change in inflammatory markers between 1999 and 2011 using linear mixed models. Models were adjusted for age, race/ethnicity, partners’ education level, smoking, neighborhood socioeconomic status, and population density. Interaction terms were included to explore effect modification by baseline neighborhood socioeconomic status and population density. Results: Our study comprised women with a mean age of 45.3 (+/- 4.4) years at 1998. A one-unit higher count of FFO within a 1500m buffer was not cross-sectionally associated with CRP (β: 0.004, 95%CI: -0.004, 0.010), IL-6 (β: 0.001, 95%CI: -0.001, 0.004), TNFR2 (β: 0.051, 95%CI: -1.495, 1.597), or adiponectin (β: -6.054, 95%CI: -14.576, 2.468). No associations were found in longitudinal models (CRP (β: 0.000, 95%CI: -0.007, 0.008), IL-6 (β: 0.001, 95%CI: -0.002, 0.003), or adiponectin (β: -1.127, 95%CI: -11.889, 14.3152)). No significant effect modification was found between count of FFO and neighborhood socioeconomic status, or population density (P-for-interaction >0.1). Conclusions: While several previous studies have found an association between frequency of consumption of food at fast food restaurants and biomarkers of cardiovascular risk, at the community level, we did not find associations between the count of FFO and several inflammatory markers in a population of US female nurses.

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