American Indian and Alaska Natives (AI/ANs) are disproportionately impacted by gestational diabetes mellitus (GDM), subsequent type 2 diabetes, and food insecurity. It is prudent to decrease risk of GDM prior to pregnancy to decrease the intergenerational cycle of diabetes in AI/AN communities. The purpose of this project is to describe and examine food insecurity, healthy eating self-efficacy, and healthy eating behaviors among AI/AN females (12-24 years old) as related to GDM risk reduction. Methods included: secondary analysis of healthy eating self-efficacy and behaviors, and household-level food insecurity measures from an randomized controlled trial that tested the effect of engagement in a GDM risk reduction educational intervention on knowledge, behavior, and self-efficacy for GDM risk reduction from baseline to 3-month follow-up. Participants were AI/AN daughters (12-24 years old) and their mothers (N = 149 dyads). Researchers found that more than one-third (38.1%) reported food insecurity. At baseline food insecurity was associated with higher levels of eating vegetables and fruit for the full sample (p = .045) and cohabitating dyads (p = .002). By 3 months healthy eating self-efficacy (p = .048) and limiting snacking between meals (p = .031) improved more in the control group than the intervention group only for cohabitating dyads. For the full sample, the intervention group had increases in times eating vegetables (p = .022) and fruit (p = .015), whereas the control group had declines. In the full sample, food insecurity did not moderate the group by time interaction for self-efficacy for healthy eating (p ≥ .05) but did moderate the group by time interaction for times drinking soda (p = .004) and days eating breakfast (p = .013). For cohabitating dyads, food insecurity did moderate self-efficacy for eating 3 meals a day (p = .024) and days eating breakfast (p = .012). These results suggest food insecurity is an important factor regarding the efficacy of interventions designed to reduce GDM risk and offer unique insight on "upstream causes" of GDM health disparities among AI/AN communities.
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