Relationship Between Grocery Shopping Frequency and Home- and Individual-Level Diet Quality Among Low-Income Racial or Ethnic Minority Households With Preschool-Aged Children

A Cross-Sectional Study of Grocery Shopping Factors of Importance among Food-Insecure African Americans

The objective of this study was to (1) assess via cross-sectional survey the prevalence of food insecurity among African Americans [AAs] after their most recent grocery shopping trip, and (2) examine the grocery shopping factors of importance and characteristics of food-insecure AA grocery shoppers. Most (70.4%) were food-insecure. Food-insecure grocery shoppers were significantly more likely to be younger, less educated, who often skipped meals and/or practiced fasting, accessed a food pantry, were SNAP recipients, were considered to not be in "good" health, and who had higher BMI compared to food-secure shoppers (p ≤ 0.03 * for all). Our data showed that AAs shopped for groceries a mean 2.20 ± 1.29 times per week, for low prices (72.1%), without a weekly budget (58.9%), with a grocery list (44.6%) or using an app (27.6%), for high-quality vegetables (27.5%), for good customer service (22.9%), for store brands (20.8%) and name brands (17.9%).Food-insecure shoppers were significantly more likely to grocery shop more times per week, have a weekly budget, and use an app, but were significantly less likely to report store brands, name brands, good customer service, and high-quality vegetables as grocery factors of importance (p ≤ 0.03 * for all). Grocery strategies such as shopping with a grocery app and/or grocery list could help food-insecure AAs reduce grocery trips, promote meal planning to save money, and avoid skipping meals/fasting, while eating healthier.

Influence of the food environment on obesity risk in a large cohort of US veterans by community type

OBJECTIVE

The aim of this study was to examine relationships between the food environment and obesity by community type.

METHODS

Using electronic health record data from the US Veterans Administration Diabetes Risk (VADR) cohort, we examined associations between the percentage of supermarkets and fast-food restaurants with obesity prevalence from 2008 to 2018. We constructed multivariable logistic regression models with random effects and interaction terms for year and food environment variables. We stratified models by community type.

RESULTS

Mean age at baseline was 59.8 (SD = 16.1) years; 93.3% identified as men; and 2,102,542 (41.8%) were classified as having obesity. The association between the percentage of fast-food restaurants and obesity was positive in high-density urban areas (odds ratio [OR] = 1.033; 95% CI: 1.028-1.037), with no interaction by time (p = 0.83). The interaction with year was significant in other community types (p < 0.001), with increasing odds of obesity in each follow-up year. The associations between the percentage of supermarkets and obesity were null in high-density and low-density urban areas and positive in suburban (OR = 1.033; 95% CI: 1.027-1.039) and rural (OR = 1.007; 95% CI: 1.002-1.012) areas, with no interactions by time.

CONCLUSIONS

Many healthy eating policies have been passed in urban areas; our results suggest such policies might also mitigate obesity risk in nonurban areas.

A qualitative study of barriers and facilitators for health behavior change in low-income men with prostate cancer

PURPOSE

Low-income prostate cancer survivors, who typically have worse outcomes and greater all-cause mortality, often have poor health-promoting behaviors. Our objective was to assess perceived facilitators of and barriers to healthy behavior change by interviewing low-income men with prostate cancer who received no-cost treatment through a state-funded program.

METHODS

Between September 2021 and April 2022, we conducted semi-structured interviews with 19 men (ages 60-75). Purposive sampling was utilized from participants of a cohort of men with prostate cancer from low-income backgrounds. Interviews were recorded, transcribed, and then coded by the authors to generate salient themes via thematic analysis.

RESULTS

We found internal characteristics and structural characteristics that functioned independently and in concert to promote and/or hinder healthy behavior change. Internal characteristics such as motivations (prostate cancer diagnosis, self-perceptions, support system, and preferences) and determination, defined as level of motivation, drove behavior actualization. Structural characteristics that influenced behavior change included resources (access to food and opportunities for exercise) and social support.

CONCLUSIONS

These outcomes suggest that motivation and determination can serve as protective facilitators encouraging healthy behaviors despite structural barriers low-income prostate cancer survivors may face. However, motivations challenged by financial constraints were not sufficient to guide healthy behavior change. With this in mind, we recommend that interventions promoting healthy behavior change among this population should focus on identifying and strengthening internal assets such as motivations, self-perceptions, preferences, and support systems.

Validation of a self-report home food availability checklist against in-home food inventories conducted in low-income Black/African American and Hispanic/Latinx households with preschool-age children

Home food availability (HFA) checklists can be completed by self-report to assess the home food environment. Checklists developed for Black/African American (B/AA) and Hispanic/Latinx (H/L) households are seldom validated against objective approaches such as exhaustive in-home food inventories. This study validated a self-report HFA checklist developed for B/AA and H/L households (n = 97) against researcher-completed HFA checklists verified by exhaustive in-home food inventories. Mean estimates of sensitivity, specificity, and area of the receiver operating curve (ROC), and interrater agreement (Gwet AC1) were calculated to examine the accuracy and agreement of self-reported checklists against direct observation of individual food items. Mean differences in HFA food group scores were compared (self-report vs observed) to examine group-level relative validity. The predictive validity of this self-reported measure on observed scores and dietary intake were also examined with linear regression. The average values for ROC area (average of sensitivity and specificity) ranged from acceptable (0.76 for sweets) to excellent (0.81 for vegetables, fruits). Average interrater agreement values ranged from moderate (0.41-0.60: sweets) to substantial (0.61-0.79: vegetables, fruit, SSBs, savory foods). Self-reported mean scores, compared to observed scores, were higher for vegetables (mean diff: 1.04) and lower for sweets (mean diff: 0.38, p = 0.01), but regression analyses demonstrated that self-reported scores were good predictors of observed scores with absolute error (based on standard deviation of residuals) ranging from ±1.27 to 1.69 points. Self-reported scores also predicted multiple aspects of dietary intake but more so among H/L households. In conclusion, the HFA checklist obtained via self-report performed well based on multiple indicators of validity suggesting that this self-reported measure can be used to assess home food environments among of B/AA and H/L households.

More Frequent Food Shopping May Promote Fruit and Vegetable Intake: A Systematic Review

BACKGROUND

Food shopping frequency may be an important modifiable factor related to increasing fruit and vegetable (FV) intake. Because of mixed findings of individual studies of shopping frequency, a systematic review is needed to examine findings across studies and store types.

OBJECTIVE

To conduct a systematic review of articles examining the relationship between frequency of food shopping and FV intake including examination of participation in federal nutrition assistance programs on FV intake, if reported.

METHODS

A search, guided by the Preferred Reported Items for Systematic Reviews and Metanalyses, using terms related to FV consumption and food shopping across 4 online databases, was conducted. Studies conducted in the US and published through October, 2020, included adults, and had a cross-sectional, longitudinal, cohort, or randomized study design were eligible for inclusion.

RESULTS

Twenty-four articles were included. The majority of studies found at least 1 positive finding between the frequency of food shopping and FV intake, indicating that as the frequency of food shopping increased, FV intake increased. In studies with 100% participation in government/federal nutrition assistance programs, participation was associated with FV intake. Studies that included participation as a subset found participation not associated with FV intake.

IMPLICATIONS FOR FUTURE RESEARCH AND PRACTICE

The frequency of shopping may be modifiable to increase FV intake. Experimental research is needed to test the directionality and causality of the relationship. Federal nutrition assistance programs may be a logical place to test the relationship through the adjustment of fund disbursements.

Food Shopping Frequency of Rural Tennessee Adults With Comparisons by Federal Nutrition Assistance Participation

OBJECTIVE

To describe food shopping frequency across 7 store types in a rural context and compare food shopping frequency between federal nutrition assistance recipients and nonrecipients.

METHODS

This cross-sectional study was conducted at county fairs in rural Tennessee.

RESULTS

Reported overall mean food shopping frequency was 18.4 (SD, 13.9) times in the past 30 days. A mean of 3.1 (SD, 1.2) store types were visited, with supermarkets, convenience stores, and dollar stores the most frequented stores. Federal nutrition assistance program recipients shopped significantly less frequently than nonrecipients for overall shopping frequency (P = 0.02), supermarkets (P = 0.02), and farmers' markets (P = 0.04).

CONCLUSIONS AND IMPLICATIONS

Educating and counseling individuals on how food shopping frequency may promote nutrition and health may be important. Federal nutrition assistance programs that distribute benefits monthly may impact food shopping frequency.