Barriers and Facilitators to Online Grocery Shopping Among Supplemental Nutrition Assistance Program (SNAP) Participants: A Mixed Method Study.

This mixed methods study explored online grocery shopping perceptions by surveying individuals who do and do not receive SNAP benefits (n = 129) and by conducting interviews with SNAP recipients (n = 26) who have grocery shopped online. T-tests assessed survey findings, codebook thematic analysis was used to identify qualitative themes, and results were interpreted collectively. Survey results found no differences in perceptions of online grocery shopping between SNAP and non-SNAP recipients (p-values = 0.2-1.0) and that 97% of SNAP recipients felt comfortable using SNAP online. Five qualitative themes were identified and provided context to the survey results. The study findings can inform policy actions within SNAP.

Leveraging Multiyear, Geospatial Social Media Data for Health Policy Evaluations: Lessons From the Philadelphia Beverage Tax.

CONTEXT: Public reactions to health policies are vital to understand policy sustainability and impact but have been elusively difficult to dynamically measure. The 2021 launch of the Twitter Academic Application Programming Interface (API), allowing for historical tweet analyses, represents a potentially powerful tool for complex, comprehensive policy analyses. OBJECTIVE: Using the Philadelphia Beverage Tax (implemented January 2017) as a case study, this research extracted longitudinal and geographic changes in sentiments, and key influencers in policy-related conversations. DESIGN: The Twitter API was used to retrieve all publicly available tweets related to the Tax between 2016 and 2019. SETTING: Twitter. PARTICIPANTS: Users who posted publicly available tweets related to the Philadelphia Beverage Tax (PBT). MAIN OUTCOME: Tweet content, frequency, sentiment, and user-related information. MEASURES: Tweet content, authors, engagement, and location were analyzed in parallel to key PBT events. Published emotional lexicons were used for sentiment analyses. RESULTS: A total of 45 891 tweets were retrieved (1311 with geolocation data). Changes in the tweet volume and sentiment were strongly driven by Tax-related litigation. While anger and fear increased in the months prior to the policy's implementation, they progressively decreased after its implementation; trust displayed an inverse trend. The 50 tweeters with the highest positive engagement included media outlets (n = 24), displaying particularly high tweet volume/engagement, and public personalities (n = 10), displaying the greatest polarization in tweet sentiment. Most geo-located tweets, reflecting 321 unique locations, were from the Philadelphia region (55.2%). Sentiment and positive engagement varied, although concentrations of negative sentiments were observed in some Philadelphia suburbs. CONCLUSIONS: Findings highlighted how longitudinal Twitter data can be leveraged to deconstruct specific, dynamic insights on public policy reactions and information dissemination to inform better policy implementation and evaluation (eg, anticipating catalysts for both heightened public interest and geographic, sentiment changes in policy conversations). This study provides policymakers a blueprint to conduct similar cost and time efficient yet dynamic and multifaceted health policy evaluations.

A click too far from fresh foods: A mixed methods comparison of online and in-store grocery behaviors among low-income households.

A recent policy in the U.S. authorized monthly benefits from a nutrition assistance program - Supplemental Nutrition Assistance Program (SNAP) - to be used online to increase grocery access and promote healthy eating. This study examined online grocery attitudes and purchasing behaviors among low-income SNAP-eligible households with young children with and without online grocery experience. An explanatory sequential mixed methods design was used, including a survey informed by the theory of planned behavior (TPB) and focus groups conducted between November-March 2021. In the quantitative phase, 310 Maryland residents completed an online survey assessing TPB constructs (attitudes, social norms, perceived control), and food purchase frequency online and in-store. Subsequently, 42 participated in the qualitative phase. Differences in TPB constructs and food purchases were compared between families with and without online grocery experience. Online food selection and fees were a common obstacle to online grocery purchasing. Families who had purchased groceries online (57%) had more positive attitudes and perceived fewer barriers to online shopping than those who had not. Self-reported frequency of buying fresh produce (OR = 0.34, p < 0.001), meat and seafood (OR = 0.29, p < 0.001), and sweets (OR = 0.54, p = 0.005) were lower online than in-store. Families discussed mistrust of online hired shoppers and fewer impulse purchases online as reasons for less frequent purchases of produce and sweets, respectively. Successful scale-up of the U.S. policy must address barriers to healthier purchasing behaviors to effectively promote equitable food access, such as decreasing delivery fees and improving the online food selection.

All Children Thrive: Integration of Nutrition and Early Childhood Development.

Building on the successes of child survival, we review the evidence needed to ensure both that children who survive also thrive and that recommendations promote equity, with no child left behind. To illustrate the critical roles played by nutrition and child development, we revise the Conceptual Framework for the Causes of Malnutrition and Death and the Nurturing Care Framework to create the Conceptual Framework of All Children Surviving and Thriving. The revised framework highlights the goals of child growth and development, supported by health, nutrition, learning, responsive caregiving, and security and safety. We review the challenges posed by undernutrition, stunting, micronutrient deficiencies, overweight, and children not reaching their developmental potential. Although integrated nutrition-childhood development interventions have shown promising effects, most have not been implemented at scale. Implementation science that investigates how and why integrated interventions work in real life, along with the acceptability, feasibility, cost, coverage, and sustainability of the interventions, is needed to ensure equity for all children thriving.

Longitudinal Associations Among Diet Quality, Physical Activity and Sleep Onset Consistency With Body Mass Index z-Score Among Toddlers in Low-income Families.

BACKGROUND: Habits surrounding health behaviors (i.e., sleep, physical activity, diet) are developed in toddlerhood. Lack of consistent health habits may increase obesity risk among toddlers in low-income families. PURPOSE: To compare the role of sleep onset consistency, physical activity and diet quality as mediators between household poverty and toddler weight. METHODS: Two hundred and seven toddlers (mean age = 20.2 months, 46% female, 68.1% Black) participating in an obesity prevention trial were assessed at three time points over 12 months. Using Actical accelerometers, we assessed sleep and physical activity at each time point for up to 1 week. We defined sleep onset consistency as the standard deviation of sleep onset across all days. We calculated the Healthy Eating Index-2015 from a 24-hr dietary recall. We used WHO standards to calculate BMI-for-age z-scores from toddlers' weight/length, and calculated poverty ratio from parent-reported income and family size. Multilevel mediation models tested toddler sleep onset consistency, physical activity, and diet quality as mediators between household poverty and toddler BMI z-score. RESULTS: Toddlers from households with higher poverty ratios had more inconsistent sleep onset times. Toddlers with more inconsistent sleep onset times had higher BMI z-scores across all timepoints, even when accounting for physical activity and diet quality. Sleep onset consistency indirectly explained the association between household poverty and BMI z-score. CONCLUSIONS: Inconsistent sleep schedules could help explain the association between poverty and BMI. Future research should examine strategies to support low-income families to develop and maintain routines as a mechanism to prevent obesity and reduce disparities. TRIAL REGISTRATION NUMBER: NCT02615158.

Pre-pandemic to early-pandemic changes in risk of household food insecurity among Maryland families with children.

OBJECTIVE: The objective was to examine risk and protective factors associated with pre- to early-pandemic changes in risk of household food insecurity (FI). DESIGN: We re-enrolled families from two statewide studies (2017-2020) in an observational cohort (May-August 2020). Caregivers reported on risk of household FI, demographics, pandemic-related hardships, and participation in safety net programs (e.g. CARES stimulus payment, school meals). SETTING: Maryland, United States. PARTICIPANTS: Economically, geographically, and racially/ethnically diverse families with preschool to adolescent-age children. Eligibility included reported receipt or expected receipt of the CARES stimulus payment or a pandemic-related economic hardship (n=496). RESULTS: Prevalence of risk of FI was unchanged (pre-pandemic: 22%, early-pandemic: 25%, p=0.27). Risk of early-pandemic FI was elevated for non-Hispanic Black (aRR=2.1 [95% CI 1.1, 4.0]) and Other families (aRR=2.6 [1.3, 5.4]) and families earning ≤300% federal poverty level. Among pre-pandemic food secure families, decreased income, job loss, and reduced hours were associated with increased early-pandemic FI risk (aRR=2.1 [1.2, 3.6] to 2.5 [1.5, 4.1]); CARES stimulus payment (aRR=0.5 [0.3, 0.9]) and continued school meal participation (aRR=0.2 [0.1, 0.9]) were associated with decreased risk. Among families at risk of FI pre-pandemic, safety net program participation was not associated with early-pandemic FI risk. CONCLUSIONS: The CARES stimulus payment and continued school meal participation protected pre-pandemic food secure families from early-pandemic FI risk but did not protect families who were at risk of FI pre-pandemic. Mitigating pre-pandemic FI risk and providing stimulus payments and school meals may support children's health and reduce disparities in response to pandemics.

Implementation of a multilevel, multicomponent intervention for obesity control in Native American communities (OPREVENT2): challenges and lessons learned.

OPREVENT2 was a multilevel, multicomponent (MLMC) adult obesity prevention that sought to improve access and demand for healthier food and physical activity opportunities in six Native American communities in the Southwest and Midwest. OPREVENT2 worked with worksites, food stores, schools (grades 2-6), through social media and mailings, and with a local community action committee (CAC), in each of the three intervention communities, and was implemented in six phases. We conducted a process evaluation to assess implementation of each intervention component in terms of reach, dose delivered and fidelity. Implementation of each component was classified as high, medium or low according to set standards, and reported back at the end of each phase, allowing for improvements. The school and worksite components were implemented with high reach, dose delivered and fidelity, with improvement over time. The school program had only moderate reach and dose delivered, as did the social media component. The CAC achieved high reach and dose delivered. Overall, study reach and dose delivered reached a high implementation level, whereas fidelity was medium. Great challenges exist in the consistent implementation of MLMC interventions. The detailed process evaluation of the OPREVENT2 trial allowed us to carefully assess the relative strengths and limitations of each intervention component.

Maternal anxiety and diet quality among mothers and toddlers from low-income households.

We evaluated the association between maternal anxiety score and diet quality over time among mothers and toddlers in low-income families. Longitudinal data were collected from 267 mother-toddler dyads in an obesity prevention trial. Participants were recruited from the Special Supplemental Nutrition Program for Women, Infants and Children and paediatric clinics between 2007 and 2010. Dyads were assessed at study enrolment (Time 1), 6-month (Time 2), and 12-month follow-up (Time 3). On the basis of a 1-day 24-hr dietary recall, we estimated maternal and toddler diet quality using the Healthy Eating Index 2015. Anxiety, a time-varying variable, was assessed via the State-Trait Anxiety Inventory. Associations between maternal anxiety score and maternal and toddler diet quality over time were assessed in adjusted mixed models. Maternal and toddler diet quality were positively correlated (r = .48, p < .001). Higher maternal anxiety scores were related to lower toddler Healthy Eating Index scores (b = -0.51, 95% confidence interval, CI [-0.87, -0.15]) with no significant variation over time. The relation between maternal diet quality and anxiety score varied over time (b = 0.28, p = .03, for time-anxiety interaction). Higher maternal anxiety scores were associated with lower maternal diet quality at Time 1 (b = -0.71, 95% CI [-1.09, 0.34]) and at Time 2 (b = -0.51, 95% CI [-0.97, -0.05]), but not at Time 3 (b = -0.14, 95% CI [-0.54, 0.26]). Findings suggest that mothers and toddlers exhibited similar low-quality dietary patterns and that lower diet quality was associated with higher maternal anxiety scores. Approaches to enhance diet quality may consider incorporating anxiety-reducing strategies into maternal and toddler care and feeding behaviour guidelines.

Dietary Intake of Upper Midwest and Southwest Native American Adults.

Limited information on current dietary patterns of Native American (NA) adults exists. This paper describes the dietary intake of 582 NA adults, aged 19-75 years, living in six communities in New Mexico and Wisconsin in 2016-2017 and compares macronutrient and micronutrient intakes, estimated via a semi-quantitative 30-day Block Food Frequency Questionnaire, among different age and sex groups. NA adults consumed a diet high in % energy from total fat, saturated fat, added sugars, and sodium. A general trend of lower micronutrient intakes with increasing age was observed. Health professionals can apply this information to develop effective and culturally relevant nutrition interventions. Abbreviations: NA = Native American; CVD = Cardiovascular diseases; IOM = Institute of Medicine; IRB = Institutional Review Board; AIQ = Adult Impact Questionnaire; FFQ = Food Frequency Questionnaire; NHANES = National Health and Nutrition Examination Survey; NHNS: Navajo Health and Nutrition Survey.

A multilevel, multicomponent childhood obesity prevention group-randomized controlled trial improves healthier food purchasing and reduces sweet-snack consumption among low-income African-American youth.

BACKGROUND: Consumption of foods and beverages rich in sugar remains high across all races and ages in the United States. Interventions to address childhood obesity and decrease sugar intake are needed, particularly in low-income settings. METHODS: B'more Healthy Communities for Kids (BHCK) was a group-randomized, controlled trial implemented among 9-15-year olds in 30 low-income areas of Baltimore. We increased access to low-sugar foods and beverages at wholesalers and small food stores. Concurrently, we encouraged their purchase and consumption by children through youth-led nutrition education in recreation centers, in-store promotions, text messaging and a social media program directed at caregivers. Sugar consumption (sugar sweetened beverage (SSB), sweets) in youth was assessed pre- (n = 534) and post-intervention (n = 401) using the Block Kids Food Frequency Questionnaire. Purchasing of 38 healthier and 28 less healthier food/beverage varieties in the previous 7 days was assessed via self-report. Multilevel models at the community and individual levels were used. Analyses were stratified by age (younger: 9-12-year olds (n = 339) vs older: 13-15 (n = 170)). Models were controlled for child's sex, race, total daily caloric intake, and caregiver's age and sex. RESULTS: Overall baseline mean healthier food purchasing was 2.5 (+ 3.6; min. 0, max. 34 items per week), and unhealthier food purchasing 4.6 (+ 3.7; 0-19 items per week). Mean intake at baseline for kcal from SSB was 176 (+ 189.1) and 153 (+ 142.5), and % of calories from sweets (i.e. cookies, cakes, pies, donuts, candy, ice cream, sweetened cereals, and chocolate beverages) was 15.9 (+ 9.7) and 15.9 (+ 7.7) in comparison and intervention youth, respectively. Intervention youth increased healthier foods and beverages purchases by 1.4 more items per week than comparison youth (ß = 1.4; 95% CI: 0.1; 2.8). After the intervention, there was a 3.5% decrease in kcal from sweets for older intervention youth, compared to the control group (ß = - 3.5; 95% CI: -7.76; - 0.05). No impact was seen on SSB consumption. CONCLUSION: BHCK successfully increased healthier food purchasing variety in youth, and decreased % calories from sweet snacks in older youth. Multilevel, multicomponent environmental childhood obesity programs are a promising strategy to improve eating behaviors among low-income urban youth. TRIAL REGISTRATION: NCT02181010 (July 2, 2014, retrospectively registered).