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Background: The COVID-19 pandemic affected health and well-being worldwide, but little is known about how the pandemic specifically impacted families with young children. Evidence suggests a relationship between well-being and health behaviors (diet, physical activity) and that preexisting health disparities were exacerbated during the pandemic. Purpose: This project sought caregiver perspectives on pandemic impacts, overall and by race, ethnicity, urbanicity, and household income. Methods: Caregivers of 4- to 11-year-olds were randomly selected to complete a mixed-mode survey in the winter of 2021-22 to evaluate ongoing community health education and programming. Qualitative content analysis of open-ended survey responses was conducted. Data were analyzed blind to demographic characteristics; later, differences by population were explored. Results: Survey analysis (n = 1,429, response rate 27%) identified positive and negative impacts of the pandemic on youth diet and physical activity. Caregivers, unprompted, provided responses about the interconnected impacts on mental and physical health and health behaviors. Pandemic stress was described, including reduced energy, social isolation, and "fear of spread." Significant differences by key characteristics were found. Discussion: These findings reflect patterns that could underlie growing disparities. Translation to Health Education Practice: This work provides context for designing interventions that equitably promote healthy behaviors for young families. Translation to Health Education Practice

Background: Though prenatal nutrition information is critical, it is not known whether information is shared equitably by patient race, financial security, or English proficiency. Purpose: To evaluate whether delivery or receipt of ChooseYourFish.org nutrition information in the first prenatal visit differed by patient demographics. Methods: Analysis of clinician-document electronic health record (EHR) or patient-reported surveys compared delivery and receipt of fish-related nutrition information in the first prenatal visit. Inferential statistics were used to compare delivery or receipt and race, ethnicity, payor, or interpreter use. Results: EHR analysis (n = 2,329) revealed Medicaid patients who used an interpreter were half as likely to have the fish nutrition message in their after-visit summary compared to those with Medicaid who did not use an interpreter (OR = 0.54, 95% CL: 0.35-0.84). The same was not true for non-Medicaid patients. Survey analysis (n = 52) showed respondents identifying as Black or African American were 25% less likely to report receiving the after-visit summary compared to respondents who identified as white (p < 0.01). Discussion: The results presented here illustrate how nutrition communication in the prenatal period can differ by patient race, financial security, and language. Translation to Health Education Practice: Culturally humble efforts to understand drivers of healthcare communication are needed to eliminate inequalities. A AJHE Self-Study quiz is online for this article via the SHAPE America Online Institute (SAOI) http://portal.shapeamerica.org/trn-Webinars

Purpose: To identify "headlines" that would engage recipients to consider plant protein over red meat. Design: Mail and web survey. Setting: Urban Minnesota community. Subjects: 144 survey respondents from our health plan and community program distribution lists who live with at least 1 other person and eat meat. Intervention: We asked respondents how likely they would be to click on each of 24 headlines with a motivator (eating plant protein for health vs for environmental reasons) and a barrier (family preferences, knowledge about plant proteins, or cooking skills). 16 headlines contained the word "beans". Measures: We created categorical variables for each headline construct: (1) motivator, (2) barrier, and (3) reference to beans. Using a mixed model with random effects, we compared, for each construct, respondents' self-reported likelihood to click on a headline. Results: Health-related headlines performed significantly better than environmental headlines (P =.0019, 95% CI.01,.11). Family-oriented headlines performed slightly better than skills-oriented (P =.0927, 95% CI -.01,.11) and knowledge-oriented (P =.0960, 95% CI -.01,.11) headlines. Headlines containing the word "beans" performed significantly worse than those not containing "beans" (P <.0001, 95% CI -.22, -.12). Conclusions: The population represented by our survey respondents report being most likely to click on headlines that emphasize health and family. They report they are significantly less likely to click on headlines that promote beans. [ABSTRACT FROM AUTHOR]

Though prenatal nutrition information is critical, it is not known whether information is shared equitably by patient race, financial security, or English proficiency. To evaluate whether delivery or receipt of ChooseYourFish.org nutrition information in the first prenatal visit differed by patient demographics. Analysis of clinician-document electronic health record (EHR) or patient-reported surveys compared delivery and receipt of fish-related nutrition information in the first prenatal visit. Inferential statistics were used to compare delivery or receipt and race, ethnicity, payor, or interpreter use. EHR analysis (n = 2,329) revealed Medicaid patients who used an interpreter were half as likely to have the fish nutrition message in their after-visit summary compared to those with Medicaid who did not use an interpreter (OR = 0.54, 95% CL: 0.35–0.84). The same was not true for non-Medicaid patients. Survey analysis (n = 52) showed respondents identifying as Black or African American were 25% less likely to report receiving the after-visit summary compared to respondents who identified as white (p <.01). The results presented here illustrate how nutrition communication in the prenatal period can differ by patient race, financial security, and language. Translation to Health Education Practice: Culturally humble efforts to understand drivers of healthcare communication are needed to eliminate inequalities. A AJHE Self-Study quiz is online for this article via the SHAPE America Online Institute (SAOI) [ABSTRACT FROM AUTHOR]