Losses, Gains, and Changes to the Food Environment in a Rural Kentucky County during the COVID-19 Pandemic

The COVID-19 pandemic has caused alterations to be made in the way many people access, prepare, and consume food. Rural communities are particularly impacted due to pre-existing structural vulnerabilities, i.e., poverty, lack of infrastructure, and limited fresh food options. This study aimed to characterize experiences of one rural Appalachian community’s changes to the food environment during the pandemic. In April 2021, six focus groups were conducted with residents of Laurel County, Kentucky. Using grounded theory, we identified losses, gains, and overall changes to the community food environment since the onset of COVID-19. Seventeen Laurel Countians (17 female; ages 30–74) participated in the six focus groups. Three main themes emerged regarding food environment changes—(1) modifications of community food and nutrition resources, (2) expansion and utilization of online food ordering, and (3) implications of the home food environment. Rural communities faced considerable challenges during the COVID-19 pandemic, in part, due to gaps in existing infrastructure and loss of pre-existing resources. This study illustrates the complexity of changes occurring during COVID-19. Using the preliminary data obtained, we can better understand pre-existing issues in Laurel County and suggestions for future programming to address the inequitable access and response during public health emergencies and beyond.

Validation of a Home Food Environment Instrument Assessing Household Food Patterning and Quality

The home food environment (HFE) is associated with dietary intake; yet measuring HFE quality often requires burdensome collection of detailed inventories. This project evaluated the capacity of the Home Inventory to Describe Eating and Activity, version 2 (Home-IDEA2) to capture HFE quality by measuring the presence or absence of household foods. Validity was tested using a modified application of the Healthy Eating Index-2010 (HEI). Comparative data were drawn from the National Food Acquisition and Purchase Survey (FoodAPS) Food-at-Home Public Use File. HEI scores were calculated for 4202 households in FoodAPS using Home-IDEA2 inventories and full reported inventories. Paired t-tests compared: (1) estimated vs. total edible grams (EEG; TEG); (2) limited vs. all reported foods; and (3) EEG + limited foods vs. TEG + all reported foods. Sensitivity and range of scores were compared. Mean HEI scores for Home-IDEA2 were higher (p < 0.003) than FoodAPS: (1) 51.6 ± 16.1 vs. 49.6 ± 18.1 (food amounts); (2) 53.5 ± 15.8 vs. 49.8 ± 15.4 (food items); (3) 55.5 ± 15.7 vs. 49.8 ± 15.4 (full instrument); differences were small. Scores demonstrated comparable sensitivity and range. The study found that the Home-IDEA2 can capture HFE quality adequately with low data collection burden.

Changing the Home Food Environment: Parents’ Perspectives Four Years after Starting Obesity Treatment for Their Preschool Aged Child

Changing the home food environment is key to childhood obesity treatment. However, new challenges arise as the child grows older. This study investigates parents’ views on the longer-term management of the home food environment, 4 years after starting obesity treatment for their preschool-aged child. Semi-structured interviews were conducted with 33 parents (85% mothers, 48% with a university degree) of 33 children (mean age 9.3 (SD 0.7), 46% girls) from Sweden. The interviews were analyzed using thematic analysis. Two main themes were developed. Making changes in the home food environment illustrates the types of changes families make over time in relation to child development. It consists of three subthemes: covert changes, overt changes and child-directed changes. The second theme, an ongoing negotiation, captures parents’ experiences of managing the home food environment as a continuous process of balancing and recalibrating in relation to present challenges and concerns about the future. It includes three subthemes: concern and care, two steps forward one back and maintaining everyday balance. Managing the home food environment is a constant process affected by everyday life, parents’ strategies and the child’s development. Our findings can strengthen childhood obesity treatment and help prepare parents for challenges that lie ahead.

Nutrient Intakes of Children: Associations with Maternal Use of Pressure to Eat and a Healthy Home Food Environment

Maternal feeding practices have been shown to have a powerful influence on shaping dietary behaviors of children. Nonetheless, the association with the nutrient intake of children has not been previously explored. This study aimed to investigate the associations of maternal use of pressure to eat (PE) and a healthy home food environment (HHFE) with nutrient intakes in children (6–12 years old). Data of 424 mother–child dyads were included. Maternal use of PE and a HHFE were assessed using a validated questionnaire. Child food intake was collected using telephone-administered 24 h recalls. Multivariate linear regression analyses were conducted to investigate the associations of maternal feeding practices with energy and nutrient intakes of children. Maternal use of PE predicted higher children’s intake of carbohydrate (B = 0.90, 95% confidence interval (CI) 0.19 to 1.62) and dietary fiber (B = 1.25, 95% CI 0.32 to 2.18) and lower fat intake (B = −0.74, 95% CI −1.37 to −0.11). Maternal use of a HHFE was significantly positively associated with protein intake (B = 0.99, 95% CI 0.53 to 1.46) and negatively associated with free sugar intake in children (B = −3.56, 95% CI −5.03 to −2.09). Our findings indicate that nutrient intakes of children are linked to feeding practices employed by mothers. Further studies are warranted to gain a more contextualized understanding of mother–child feeding interactions and to develop effective interventions.

Home food environment and associations with weight and diet among U.S. adults: a cross-sectional study

Background The home provides the physical and social context for the majority of eating behaviors for U.S. adults. This study describes eleven dimensions of the home food environment among a national sample of U.S. adults and identifies which are associated with diet quality and overweight/obesity. Methods A national sample of U.S. adults ages 18 to 75 was recruited from an online survey panel. Respondents (n = 4942) reported on foods available in the home, including 1) fruit and vegetables, 2) salty snacks/sweets, 3) less healthy beverages, as well as 4) food placement, 5) shopping practices for fruits and vegetables, 6) food preparation, 7) portion control methods, 8) family meals from restaurants, 9) family household practices around TV and eating, 10) presence of a TV in the dining area, and 11) ownership of a scale. Self-reported height and weight, fruit and vegetable intake, and percent calories from fat were also assessed. Results Mean household size was 2.6, 32.7% had children in the home, and 23.1% lived alone. The majority were White (67.7%), with 12.3% Black and 14.3% Hispanic. Mean age was 44.4 and 48.3% were men. In multivariable models, seven features of the home food environment were associated with meeting the recommended fruit and vegetable intake guidelines, with food placement, meal preparation, frequency of shopping for fruit, and a greater variety of fruits and vegetables available in the home most strongly associated. Eight of 11 features were associated with percent energy from fat, including restaurant food for family meals, salty snacks and sweets availability, less healthy beverages availability, food placement, meal preparation, frequency of shopping for fruit, family eating with the TV on, and having a TV in the dining area. More diverse fruit and vegetable availability was associated with lower odds of overweight/obesity, and more frequent family eating while watching TV was associated with increased odds of overweight/obesity. Conclusion Targeting these dimensions of the home food environment may be a promising approach for future intervention research.

Longitudinal Associations Between Child Weight Change, the Home Food Environment, and Child Feeding Practices During COVID-19

Objectives Lifestyle changes during the coronavirus 2019 (COVID-19) pandemic may result in child weight gain thus increasing obesity risk. Weight gain during COVID-19 may be, in part, be due to changes in the home food environment and child feeding practices; yet longitudinal studies have not examined these relations. This study describes patterns of child weight change, the home food environment, and child feeding practices across two timepoints during COVID-19. Methods Parents (N = 433; 95% female) in the US with a child aged 5–18 years completed two online surveys in May (T1) and September (T2) 2020. Parents reported on child feeding practices (e.g., concern for child overweight, restriction, pressure, monitoring) using the Child Feeding Questionnaire, perceived child weight status, and the home food environment before COVID-19 (i.e., baseline; retrospective report) and at twice during COVID-19 (T1 and T2). Child weight change was categorized as having gained weight vs. not. Repeated measures and chi square analyses examined differences in changes in child feeding practices and the home food environment by child weight change. Results About 30% of parents reported child weight gain from T1 to T2 (average +9.6 ± 7.1 lbs). Interactions between parents’ concern for child overweight, monitoring, and restriction, by child weight change, were observed (ps ≤ 0.02): families with child weight gain reported baseline to T1 increases in these feeding practices, that were sustained at T2; for families without child weight gain, concern, monitoring, and restriction increased at T1, but returned to baseline at T2. Overall, pressure feeding practices increased from baseline to T1, and returned to baseline at T2. No clear patterns regarding home food environment changes and child weight change were observed. Conclusions Almost one-third of parents reported child weight gain during COVID-19, which was related to sustained concern for overweight and some feeding practices, yet not home food environment changes. Further research is needed to investigate different behavioral, societal, environmental, and psychosocial factors contributing to child weight gain during COVID-19, in order to identify the most salient intervention targets to mitigate the potential long-term health consequences. Funding Sources Virginia Commonwealth University, National Cancer Institute