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Is less more? Examining the relationship between food assistance benefit levels and childhood weight.

Authors :
Reynolds MM
Fox AM
Wen M
Varner MW
Source :
SSM - population health [SSM Popul Health] 2020 Mar 25; Vol. 11, pp. 100573. Date of Electronic Publication: 2020 Mar 25 (Print Publication: 2020).
Publication Year :
2020

Abstract

Background: The Supplementary Nutrition Assistance Program (SNAP) is a critical lifeline for millions of low-income US families, but some studies suggests that it may inadvertently increase obesity risk. Building on research contesting the SNAP-obesity link, we examine the effect of SNAP participation on BMI among multiyear participants at varying levels of SNAP benefit levels to provide some of the first evidence on the relationship between SNAP participation, state-level SNAP resources, and body weight. We focus on children given the strong links between early-life obesity and later-life health.<br />Methods: Linking state-level data on SNAP benefit levels with three waves of longitudinal individual-level data from the Child Development Supplement of the Panel Study of Income Dynamics, we use child- and state-level fixed effects to examine whether exogenous differences in SNAP benefit allotments influence the relationship between SNAP participation and weight gain.<br />Results: Lower SNAP benefit levels were associated with only modest increases in BMI among children; higher benefit levels showed no association with BMI.<br />Conclusions: Although concerns that more food assistance promotes obesity have spurred calls for cuts in the SNAP program, we find the opposite - that SNAP participation is associated with an increase in childhood BMI only when benefit levels are low. This study adds to the mounting evidence suggesting that SNAP does not cause obesity. It also contributes to the literature on the political economy of health, especially that pertaining to social policy variation across US states.<br />Competing Interests: None.<br /> (© 2020 Published by Elsevier Ltd.)

Details

Language :
English
ISSN :
2352-8273
Volume :
11
Database :
MEDLINE
Journal :
SSM - population health
Publication Type :
Academic Journal
Accession number :
32490132
Full Text :
https://doi.org/10.1016/j.ssmph.2020.100573