Examining Associations Between Participation in the Supplemental Nutrition Assistance Program (SNAP) and Dietary Behaviors: A Longitudinal Analysis

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Description
The Supplemental Nutrition Assistance Program (SNAP) participants have been shown to have worse dietary behaviors compared to eligible non-participants. It is suggested that individuals who self-select into SNAP have unhealthy diets prior to program participation. This study examined the association

The Supplemental Nutrition Assistance Program (SNAP) participants have been shown to have worse dietary behaviors compared to eligible non-participants. It is suggested that individuals who self-select into SNAP have unhealthy diets prior to program participation. This study examined the association between low-income adults’ SNAP participation status and dietary behaviors over time. A sample of households from low-income high-minority cities were surveyed at baseline (T1) and 2-4 years later (T2). Analyses were restricted to adults with household income < 200% of the federal poverty line (n=338). Participants were grouped into the four following categories: Long-term (n=171): SNAP participation at T1 and T2; Previous (n=47): SNAP participation at T1 but not T2; Current (n=38): SNAP participation at T2 but not T1; and Never (n=132): no SNAP participation at T1 or T2. Self-reported daily consumption frequency of whole fruits, fruit juice, vegetables, sugar-sweetened beverages (SSBs), and snacks were measured through self-reports. To observe dietary differences based on SNAP participation status, T2 behaviors of all groups were compared to those of the Never group. To observe dietary differences prior to SNAP participation, T1 behaviors were compared between Current and Never groups. There were no significant differences in dietary behaviors at T1 (prior to SNAP participation) between Never and Current participants providing no evidence of self-selection of unhealthy households into SNAP. Only marginal differences were found between SNAP participation status and dietary behaviors at T2. Improvements in SNAP participants’ diets may benefit from focusing on policy changes that encourage healthy dietary habits during participation in the program.
Date Created
2023
Agent

The Relationship between Food Insecurity and Fruit and Vegetable Consumption Among Caregivers Participating in the Nutrition Incentive Program

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Description
Background: Studies have addressed food insecurity (FI) and fruit and vegetable (FV) consumption; however, not many have looked at the relationship between FI and FV consumption of caregivers with children. Researchers have not extensively evaluated if locale (urban and rural)

Background: Studies have addressed food insecurity (FI) and fruit and vegetable (FV) consumption; however, not many have looked at the relationship between FI and FV consumption of caregivers with children. Researchers have not extensively evaluated if locale (urban and rural) plays a role in FV consumption. This cross-sectional study investigates the relationship between FI and consumption of FVs in caregivers and whether this relationship varies by locale. Methods: Caregivers with children completed baseline surveys as part of the Nutrition Incentive programs from the Gus Schumacher Nutrition Incentive Program (GusNIP) were included in analyses (n=3455; mean age= 33 ±0.12 years, 53.8% female). Caregivers reported their intake using the Dietary Screener Questionnaire (DSQ). The USDA 6-item food security screening module was used to assess food insecurity. Zip codes and Rural-Urban Continuum Codes (RUCC) were used to identify locale. Mixed linear models adjusted for sociodemographics (age, sex, race, and ethnicity), and clustered at the site level were used to assess the relationship between FV consumption and FI. Locale was examined as an interaction and was found to be not statistically significant, was included as a confounder in the models. Sensitivity analyses were conducted examining all FVs, FVs without potatoes included, FVs without juice included, and FVs without potatoes or juice. Results did not vary greatly, the aggregate FV variable is reported on below. Results: The mean FV consumption was 4.83 +/- 0.060 servings. The prevalence of FI was 78.7%. FI was reported at 92.9% of urban households and 7.1% of rural households. The mixed linear model indicated that there was a significant relationship between FI and participant’s FV consumption (β=-0.51., 95% CI: -0.81, -0.22). This study found a relationship between FV consumption and locale only. Conclusion: Caregivers’ FV consumption was significantly related to FI status; however, locale was not associated with their FV consumption. Research should further investigate the relationship between locale and FV consumption with consideration in the adolescent aged population, as these findings may be limited given the relatively small proportion of families living in rural settings.
Date Created
2022
Agent