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. 2024 May;119(5):1216-1226.
doi: 10.1016/j.ajcnut.2024.02.022. Epub 2024 Mar 1.

Birth outcomes in relation to neighborhood food access and individual food insecurity during pregnancy in the Environmental Influences on Child Health Outcomes (ECHO)-wide cohort study

Collaborators, Affiliations

Birth outcomes in relation to neighborhood food access and individual food insecurity during pregnancy in the Environmental Influences on Child Health Outcomes (ECHO)-wide cohort study

Izzuddin M Aris et al. Am J Clin Nutr. 2024 May.

Abstract

Background: Limited access to healthy foods, resulting from residence in neighborhoods with low-food access or from household food insecurity, is a public health concern. Contributions of these measures during pregnancy to birth outcomes remain understudied.

Objectives: We examined associations between neighborhood food access and individual food insecurity during pregnancy with birth outcomes.

Methods: We used data from 53 cohorts participating in the nationwide Environmental Influences on Child Health Outcomes-Wide Cohort Study. Participant inclusion required a geocoded residential address or response to a food insecurity question during pregnancy and information on birth outcomes. Exposures include low-income-low-food-access (LILA, where the nearest supermarket is >0.5 miles for urban or >10 miles for rural areas) or low-income-low-vehicle-access (LILV, where few households have a vehicle and >0.5 miles from the nearest supermarket) neighborhoods and individual food insecurity. Mixed-effects models estimated associations with birth outcomes, adjusting for socioeconomic and pregnancy characteristics.

Results: Among 22,206 pregnant participants (mean age 30.4 y) with neighborhood food access data, 24.1% resided in LILA neighborhoods and 13.6% in LILV neighborhoods. Of 1630 pregnant participants with individual-level food insecurity data (mean age 29.7 y), 8.0% experienced food insecurity. Residence in LILA (compared with non-LILA) neighborhoods was associated with lower birth weight [β -44.3 g; 95% confidence interval (CI): -62.9, -25.6], lower birth weight-for-gestational-age z-score (-0.09 SD units; -0.12, -0.05), higher odds of small-for-gestational-age [odds ratio (OR) 1.15; 95% CI: 1.00, 1.33], and lower odds of large-for-gestational-age (0.85; 95% CI: 0.77, 0.94). Similar findings were observed for residence in LILV neighborhoods. No associations of individual food insecurity with birth outcomes were observed.

Conclusions: Residence in LILA or LILV neighborhoods during pregnancy is associated with adverse birth outcomes. These findings highlight the need for future studies examining whether investing in neighborhood resources to improve food access during pregnancy would promote equitable birth outcomes.

Keywords: birth weight; epidemiology; food insecurity; gestational age; health disparities; neighborhood food access.

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Figures

FIGURE 1
FIGURE 1
Associations of neighborhood-level food access with birth weight, birth weight-for-gestational-age, and gestational age. Model 1: adjusted for year of residential address during pregnancy. Model 2: model 1 + age, educational level during pregnancy, number of individuals in a household, insurance status, prepregnancy BMI, prenatal cigarette smoking or secondhand smoke exposure, parity, and child sex. Model 3: model 2 + race and ethnicity. LILA, low-income-low-food access; LILV, low-income-low-vehicle access.
FIGURE 2
FIGURE 2
Association of neighborhood-level food access with small-for-gestational-age, large-for-gestational-age, and preterm birth. Model 1: adjusted for year of residential address during pregnancy. Model 2: model 1 + age, educational level during pregnancy, number of individuals in a household, insurance status, prepregnancy BMI, prenatal cigarette smoking or secondhand smoke exposure, parity, and child sex. Model 3: model 2 + race and ethnicity. LILA, low-income-low-food access; LILV, low-income-low-vehicle access.
FIGURE 3
FIGURE 3
Association of individual-level food insecurity with birth outcomes. Model 1: adjusted for year of residential address during pregnancy. Model 2: model 1 + age, educational level during pregnancy, number of individuals in a household, insurance status, prepregnancy BMI, prenatal cigarette smoking or secondhand smoke exposure, parity, and child sex. Model 3: model 2 + race and ethnicity.

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