Fruit and Vegetable Intake of US Hispanics by Food Store Type: Findings from NHANES

Sanchez-Flack, Jennifer; Anderson, Cheryl A.M.; Arredondo, Elva M.; Martı́nez, Marı́a Elena; Ayala, Guadalupe X.

doi:10.1007/s40615-018-0517-7

Cited by 7 publications

(5 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The finding that the type of food outlet nearby influences eating is consistent with findings from previous literature [ 32 , 33 ] and is likely to be evidence that food outlet density is a proxy measure for the availability of food. For example, living within one mile of a grocery store has been associated with increased fruit and vegetable intake [ 18 ] and having numerous supermarkets in one’s neighborhood is associated with lower BMI [ 34 ].…”

Section: Discussionsupporting

confidence: 90%

Comparison of Geographic Information System and Subjective Assessments of Momentary Food Environments as Predictors of Food Intake: An Ecological Momentary Assessment Study

Elliston

Schüz

Albion

et al. 2020

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

Background It has been observed that eating is influenced by the presence and availability of food. Being aware of the presence of food in the environment may enable mobile health (mHealth) apps to use geofencing techniques to determine the most appropriate time to proactively deliver interventions. To date, however, studies on eating typically rely on self-reports of environmental contexts, which may not be accurate or feasible for issuing mHealth interventions. Objective This study aimed to compare the subjective and geographic information system (GIS) assessments of the momentary food environment to explore the feasibility of using GIS data to predict eating behavior and inform geofenced interventions. Methods In total, 72 participants recorded their food intake in real-time for 14 days using an ecological momentary assessment approach. Participants logged their food intake and responded to approximately 5 randomly timed assessments each day. During each assessment, the participants reported the number and type of food outlets nearby. Their electronic diaries simultaneously recorded their GPS coordinates. The GPS data were later overlaid with a GIS map of food outlets to produce an objective count of the number of food outlets within 50 m of the participant. Results Correlations between self-reported and GIS counts of food outlets within 50 m were only of a small size (r=0.17; P<.001). Logistic regression analyses revealed that the GIS count significantly predicted eating similar to the self-reported counts (area under the curve for the receiver operating characteristic curve [AUC-ROC] self-report=0.53, SE 0.00 versus AUC-ROC 50 m GIS=0.53, SE 0.00; P=.41). However, there was a significant difference between the GIS-derived and self-reported counts of food outlets and the self-reported type of food outlets (AUC-ROC self-reported outlet type=0.56, SE 0.01; P<.001). Conclusions The subjective food environment appears to predict eating better than objectively measured food environments via GIS. mHealth apps may need to consider the type of food outlets rather than the raw number of outlets in an individual’s environment.

show abstract

Section: Discussionsupporting

confidence: 90%

Comparison of Geographic Information System and Subjective Assessments of Momentary Food Environments as Predictors of Food Intake: An Ecological Momentary Assessment Study

Elliston

Schüz

Albion

et al. 2020

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

show abstract

“…In addition, on average, US Hispanic adults do not consume the recommended amount of fruits and vegetables, which may have affected participation rates in the suggested fruit and vegetable activities. In comparison to the recommended amount of 1.5-2 cups of fruit and 2-3 cups of vegetables daily, US Hispanic adults on average consume 0.78 cups of fruit and 1.33 cups of vegetables daily [21].…”

Section: Discussionmentioning

confidence: 98%

Developing and Evaluating Newsletters for Parent Engagement in Sustainability via Active Garden Education (SAGE)

Suh

Lorenzo

et al. 2022

IJERPH

View full text Add to dashboard Cite

Physical activity and nutrition preschool programming must involve parents in positive long-term healthy habits. This paper describes parent outreach in the Sustainability via Active Garden Education (SAGE) study. Newsletters were sent home with children to promote family opportunities to increase physical activity and fruit and vegetable intake. The content was generated via a community advisory board participatory process. Messages linked SAGE curriculum topics with home and community activities. Parents rated frequency of receipt, helpfulness, satisfaction, and use of content. Most participants were Hispanic (>78%) and women (>95%). Most reported receiving newsletters; nearly all reported that they were helpful. Favorite newsletter components included recipes, pictures of their children and seasonal produce spotlights. Most reported doing physical activities from the newsletters (51.9%). Few reported doing featured physical activity (8.9%) and fruit and vegetable (12.7%) community activities. Newsletter outreach methods are a simple strategy to add value to preschool-based interventions promoting healthy families.

show abstract

“…Some studies have indicated that African American and Hispanic populations face challenges in accessing stores with organic food, while others have reported the opposite. Additionally, some studies have focused more on the convenience of shopping rather than the proximity and distance of these stores (Kumar et al 2011;D'Angelo et al 2011;Di Noia et al 2016;Evans, Banks, Jennings, et al 2015;Sanchez-Flack et al 2019;Zenk, Schulz, Hollis-Neely, et al 2005).…”

Section: Discussionmentioning

confidence: 99%

A latent class analysis of dietary intake in a midwestern United States pregnancy cohort

Jampa,

Moss,

Flannery

et al. 2024

North American Proceedings in Gynecology &Amp; Obstetrics

View full text Add to dashboard Cite

Objective To use dietary self-reported data in a United States Midwest pregnancy cohort to characterize patterns of food consumption in pregnancy. Methods Using a Midwest US pregnancy cohort, a self-reported food questionnaire completed in pregnancy characterized food consumed within the last week. The 89 different foods in 14 categories were analyzed, as well as the percentage of each food that was consumed that was organic. Using a latent class analysis, individuals were assigned to classes based on healthy and organic food reported. Sociodemographic characteristics were compared between the classes. Results The 359 participants completing surveys were placed into 3 classes: I (healthy diet, higher organic, 23.4%)), II (healthy diet, lower organic, 42.6%), and III (less healthy diet, 34.0%). Individuals in each class demonstrated significant differences in multiple demographic and socioeconomic characteristics including race, age, marital status, educational attainment, income, smoking, and alcohol consumption. Conclusion A latent class analysis of self-reported dietary consumption yielded 3 classes that can be utilized in analyses of herbicide concentrations and adverse pregnancy outcomes. They may also serve as a screening aid in helping providers with dietary recommendations or interventions to optimize pregnancy outcomes.

show abstract

Fruit and Vegetable Intake of US Hispanics by Food Store Type: Findings from NHANES

Cited by 7 publications

References 65 publications

Comparison of Geographic Information System and Subjective Assessments of Momentary Food Environments as Predictors of Food Intake: An Ecological Momentary Assessment Study

Comparison of Geographic Information System and Subjective Assessments of Momentary Food Environments as Predictors of Food Intake: An Ecological Momentary Assessment Study

Developing and Evaluating Newsletters for Parent Engagement in Sustainability via Active Garden Education (SAGE)

A latent class analysis of dietary intake in a midwestern United States pregnancy cohort

Contact Info

Product

Resources

About