scholarly journals Diet Quality and Food Prices Modify Associations between Genetic Susceptibility to Obesity and Adiposity Outcomes

Nutrients ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3349
Author(s):  
Hannah Yang Han ◽  
Catherine Paquet ◽  
Laurette Dubé ◽  
Daiva E Nielsen
Keyword(s):  
Waist Circumference ◽  
Diet Quality ◽  
Food Environment ◽  
High Energy ◽  
Healthy Eating Index ◽  
Food Prices ◽  
Polygenic Risk Score ◽  
Polygenic Risk ◽  
Retail Food Environment ◽  
Retail Food

The role of the retail food environment in obesity risk is unclear, which may be due in part to the lack of consideration of individual differences in the responsivity to food cues. This cross-sectional investigation geo-temporally linked the CARTaGENE biobank (including genetic, dietary, lifestyle, and anthropometric data) with in-store retail food environment data to examine interactions between a polygenic risk score (PRS) for obesity and (1) diet quality (n = 6807) and (2) in-store retail food measures (n = 3718). The outcomes included adiposity-related measures and diet quality assessed using the 2010 Canadian-adapted Healthy Eating Index. A vegetable:soft drink ratio was constructed for each retail measure to assess the relative healthfulness of exposures. Generalized linear models adjusted for individual and neighborhood socio-demographic factors were used to evaluate main and interactive effects. Diet quality significantly modified the association between polygenic risk of obesity and body mass index, waist circumference, and body fat percent. A significant interaction was also observed between PRS and regular price of vegetables in relation to soft drinks on waist circumference. These results replicate previous reports of diet moderating polygenic risk of obesity and suggest that prices of low vs. high-energy density foods are an intervention target to address population obesity rates.

scholarly journals Interaction of DRD2/ANKK1 Taq1A Genotype with in-Store Retail Food Environment Exposures on Diet Quality in a Cohort of Quebec Adults

2019 ◽  
Vol 13 (2) ◽  
pp. 74-83 ◽  
Author(s):  
Daiva E. Nielsen ◽  
Yang Han ◽  
Catherine Paquet ◽  
Andre K. Portella ◽  
Yu Ma ◽  
...  
Keyword(s):  
Diet Quality ◽  
Food Environment ◽  
Retail Food Environment ◽  
Retail Food

scholarly journals Evidence synthesis - Neighbourhood retail food outlet access, diet and body mass index in Canada: a systematic review

2019 ◽  
Vol 39 (10) ◽  
pp. 261-280 ◽  
Author(s):  
Andrew C. Stevenson ◽  
Anne-Sophie Brazeau ◽  
Kaberi Dasgupta ◽  
Nancy A. Ross
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Diet Quality ◽  
Food Environment ◽  
Gold Standard ◽  
Evidence Synthesis ◽  
Overweight And Obesity ◽  
Retail Food Environment ◽  
Theoretical Approaches ◽  
Retail Food

Introduction There is growing interest in the role of food environments in suboptimal diet and overweight and obesity. This review assesses the evidence for the link between the retail food environment, diet quality and body mass index (BMI) in the Canadian population. Methods We conducted a systematic keyword search in two bibliometric databases. We tabulated proportions of conclusive associations for each outcome and exposure of interest. Absolute and relative measures of exposure to the food environment were compared and theoretical framing of the associations noted. We assessed two key methodological issues identified a priori—measurement of BMI, and validation of the underlying retail food environment data. Results Seventeen studies were included in the review. There was little evidence of a food environment–diet quality relationship and modest evidence of a food environment–BMI relationship. Relative measures of the food environment were more often associated with an outcome in the expected direction than absolute measures, but many results were inconclusive. Most studies adopted ecological theoretical frameworks but methodologies were similar regardless of stated theoretical approaches. Self-reported BMI was common and there was no “gold standard” database of food outlets nor a consensus on best ways to validate the data. Conclusion There was limited evidence of a relationship between the food environment and diet quality, but stronger evidence of a relationship between the food environment and BMI for Canadians. Studies with broad geographic scope that adopt innovative methods to measure diet and health outcomes and use relative measures of the food environment derived in geographic information systems are warranted. Consensus on a gold standard food environment database and approaches to its validation would also advance the field.

Higher diet quality is associated with higher diet costs when eating at home and away from home: National Health and Nutrition Examination Survey, 2005-2016

2021 ◽  
pp. 1-29
Author(s):  
Zach Conrad ◽  
Sarah Reinhardt ◽  
Rebecca Boehm ◽  
Acree McDowell
Keyword(s):  
Healthy Eating ◽  
National Health ◽  
Diet Quality ◽  
Healthy Eating Index ◽  
Food Prices ◽  
Nutrition Examination Survey ◽  
Food Away From Home ◽  
Health And Nutrition ◽  
Food Consumed ◽  
At Home

Abstract Objectives: To evaluate the association between diet quality and cost for foods purchased for consumption at home and away from home. Design: Cross-sectional analysis. Multivariable linear regression models evaluated the association between diet quality and cost for all food, food at home, and food away from home. Setting: Daily food intake data from the National Health and Nutrition Examination Survey (2005-2016). Food prices were derived using data from multiple, publicly available databases. Diet quality was assessed using the Healthy Eating Index-2015 and the Alternative Healthy Eating Index-2010. Participants: 30,564 individuals ≥20 y with complete and reliable dietary data. Results: Mean per capita daily diet cost was $14.19 (95% CI: $13.91-14.48), including $6.92 ($6.73-7.10) for food consumed at home and $7.28 ($7.05-7.50) for food consumed away from home. Diet quality was higher for food at home compared to food away from home (P<0.001). Higher diet quality was associated with higher food costs overall, at home, and away from home (P<0.001 for all comparisons). Conclusions: These findings demonstrate that higher diet quality is associated with higher costs for all food, food consumed at home, and food consumed away from home. This research provides policymakers, public health professionals, and clinicians with information needed to support healthy eating habits. These findings are particularly relevant to contemporary health and economic concerns that have worsened because of the COVID-19 pandemic.

scholarly journals Local Retail Food Environment and Consumption of Fruit and Vegetable among Adults in Hong Kong

2018 ◽  
Vol 15 (10) ◽  
pp. 2247 ◽  
Author(s):  
Ting Zhang ◽  
Bo Huang
Keyword(s):  
Hong Kong ◽  
Food Environment ◽  
Fast Food ◽  
Vegetable Consumption ◽  
Grocery Stores ◽  
Fruit Consumption ◽  
Retail Food Environment ◽  
Convenience Stores ◽  
Fast Food Restaurants ◽  
Retail Food

Outside of western countries, the study of the local food environment and evidence for its association with dietary behavior is limited. The aim of this paper was to examine the association between the local retail food environment and consumption of fruit and vegetables (FV) among adults in Hong Kong. Local retail food environment was measured by density of different types of retail food outlets (grocery stores, convenience stores, and fast food restaurants) within a 1000 m Euclidean buffer around individual’s homes using a geographic information system (GIS). The Retail Food Environment Index (RFEI) was calculated based on the relative density of fast-food restaurants and convenience stores to grocery stores. Logistic regressions were performed to examine associations using cross-sectional data of 1977 adults (18 years or older). Overall, people living in an area with the highest RFEI (Q4, >5.76) had significantly greater odds of infrequent FV consumption (<7 days/week) after covariates adjustment (infrequent fruit consumption: OR = 1.36, 95% CI 1.04–1.78; infrequent vegetable consumption: OR = 1.72, 95% CI 1.11–2.68) in comparison to the lowest RFEI (Q1, <2.25). Highest density of fast food restaurants (Q4, >53) was also significantly associated with greater odds of infrequent fruit consumption (<7 days/week) (unadjusted model: OR = 1.34, 95% CI 1.04–1.73), relative to lowest density of fast food restaurants (Q1, <13). No significant association of density of grocery stores or convenience stores was observed with infrequent FV consumption regardless of the covariates included in the model. Our results suggest that the ratio of fast-food restaurants and convenience stores to grocery stores near people’s home is an important environmental factor in meeting fruit and vegetable consumption guidelines. “Food swamps” (areas with an abundance of unhealthy foods) rather than “food deserts” (areas where there is limited access to healthy foods) seems to be more of a problem in Hong Kong’s urban areas. We advanced international literature by providing evidence in a non-western setting.

scholarly journals Differences in the Neighborhood Retail Food Environment and Obesity Among US Children and Adolescents by SNAP Participation

Obesity ◽  
2018 ◽  
Vol 26 (6) ◽  
pp. 1063-1071 ◽  
Author(s):  
Mary T. Gorski Findling ◽  
Julia A. Wolfson ◽  
Eric B. Rimm ◽  
Sara N. Bleich
Keyword(s):  
Children And Adolescents ◽  
Food Environment ◽  
Retail Food Environment ◽  
Us Children ◽  
Retail Food

scholarly journals The Influence of WIC Changes on the Retail Food Environment in New Orleans

2011 ◽  
Vol 25 (S1) ◽  
Author(s):  
Diego Rose ◽  
Lauren Futrell Dunaway ◽  
Adriana Dornelles ◽  
Keelia O'Malley ◽  
J. Nicholas Bodor ◽  
...  
Keyword(s):  
New Orleans ◽  
Food Environment ◽  
Retail Food Environment ◽  
Retail Food

scholarly journals Social Support, but Not Perceived Food Environment, Is Associated with Diet Quality in French-Speaking Canadians from the PREDISE Study

Nutrients ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 3030 ◽  
Author(s):  
Elise Carbonneau ◽  
Benoît Lamarche ◽  
Julie Robitaille ◽  
Véronique Provencher ◽  
Sophie Desroches ◽  
...  
Keyword(s):  
Social Support ◽  
Healthy Eating ◽  
Diet Quality ◽  
Food Environment ◽  
Healthy Eating Index ◽  
Linear Regression Models ◽  
Healthy Foods ◽  
French Speaking ◽  
Food Recalls ◽  
At Home

The objectives were to assess whether social support for healthy eating and perceived food environment are associated with diet quality, and to investigate if sociodemographic characteristics moderate these associations. A probability sample of French-speaking adults from the Province of Québec, Canada, was recruited in the context of the PREDISE study. Participants reported their perceptions of supportive and non-supportive actions related to healthy eating from close others at home and outside of home (n = 952), and of the accessibility to healthy foods (n = 1035). The Canadian Healthy Eating Index (C-HEI) was calculated based on three Web-based 24 h food recalls. Multiple linear regression models showed that supportive (B = 1.50 (95% CI 0.46, 2.54)) and non-supportive (B = −3.06 (95% CI −4.94, −1.18)) actions related to healthy eating from close others at home were positively and negatively associated with C-HEI, respectively, whereas actions from close others outside of home were not. The negative association between non-supportive actions occurring at home and C-HEI was stronger among participants with lower (vs. higher) levels of education (p interaction = 0.03). Perceived accessibility to healthy foods was not associated with C-HEI (p > 0.05). These results suggest that the social environment may have a stronger influence on healthy eating than the perceived physical environment. This adds support for healthy eating promotion programs involving entire families, especially for more socioeconomically disadvantaged individuals, whose efforts to eat healthily may be more easily thwarted by non-supportive households.

scholarly journals Healthy Food Retail during the COVID-19 Pandemic: Challenges and Future Directions

2020 ◽  
Vol 17 (20) ◽  
pp. 7397 ◽  
Author(s):  
Lucia A. Leone ◽  
Sheila Fleischhacker ◽  
Betsy Anderson-Steeves ◽  
Kaitlyn Harper ◽  
Megan Winkler ◽  
...  
Keyword(s):  
Food Environment ◽  
Business Models ◽  
Food System ◽  
Interaction Model ◽  
Geographic Location ◽  
The United States ◽  
Retail Food Environment ◽  
Nutrition Assistance ◽  
The Impact ◽  
Retail Food

Disparities in dietary behaviors have been directly linked to the food environment, including access to retail food outlets. The Coronavirus Disease of 2019 (COVID-19) pandemic has led to major changes in the distribution, sale, purchase, preparation, and consumption of food in the United States (US). This paper reflects on those changes and provides recommendations for research to understand the impact of the pandemic on the retail food environment (RFE) and consumer behavior. Using the Retail Food Environment and Customer Interaction Model, we describe the impact of COVID-19 in four key areas: (1) community, state, tribal, and federal policy; (2) retail actors, business models, and sources; (3) customer experiences; and (4) dietary intake. We discuss how previously existing vulnerabilities and inequalities based on race, ethnicity, class, and geographic location were worsened by the pandemic. We recommend approaches for building a more just and equitable RFE, including understanding the impacts of changing shopping behaviors and adaptations to federal nutrition assistance as well as how small food business can be made more sustainable. By better understanding the RFE adaptations that have characterized the COVID-19 pandemic, we hope to gain greater insight into how our food system can become more resilient in the future.

scholarly journals The accelerator, the brake, and the terrain: associations of reward-related eating, self-regulation, and the home food environment with diet quality during pregnancy and postpartum in the pregnancy eating attributes study (PEAS) cohort

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Tonja R. Nansel ◽  
Leah M. Lipsky ◽  
Myles Faith ◽  
Aiyi Liu ◽  
Anna Maria Siega-Riz
Keyword(s):  
Diet Quality ◽  
Food Environment ◽  
Eating Behaviors ◽  
Self Regulation ◽  
Delay Of Gratification ◽  
Healthy Eating Index ◽  
Home Food Environment ◽  
Link Type ◽  
Pregnancy And Postpartum ◽  
Home Food

Abstract Background Neurobehavioral factors, including reward-related eating and self-regulation, in conjunction with the food environment, may influence dietary behaviors. However, these constructs have not been examined in pregnancy and postpartum, a time of changing appetite and eating behaviors, and when dietary intake has implications for maternal and child health. This study examined associations of reward-related eating, self-regulation, and the home food environment with pregnancy and postpartum diet quality. Methods Participants in the Pregnancy Eating Attributes Study observational cohort were enrolled at ≤12 weeks gestation and followed through one-year postpartum. Pregnancy and postpartum Healthy Eating Index-2015 (HEI-total), and adequacy and moderation scores, respectively, were calculated by pooling 24-h diet recalls administered each trimester and during 2, 6, and 12 months postpartum. Participants completed four measures of reward-related eating – Modified Yale Food Addiction Scale (mYFAS), Power of Food Scale (PFS), Multiple Choice Procedure (MCP), and Reinforcing Value of Food Questionnaire (RVFQ); two measures of self-regulation – Barratt Impulsiveness Scale (BIS) and Delay of Gratification Inventory (DGI); and a Home Food Inventory (HFI), yielding obesogenic (OBES) and fruit/vegetables (FV) scores. Linear regression analyses estimated associations of reward-related eating, self-regulation, and home food environment with diet quality during pregnancy and postpartum, adjusting for sociodemographic characteristics. Results Pregnancy HEI-total was inversely associated with PFS (β = − 0.14 ± 0.05, p = 0.009), mYFAS(β = − 0.14 ± 0.06, p = 0.02), 2 of the 5 RVFQ indices, MCP (β = − 0.14 ± 0.05, p = 0.01), and DGI food subscale (β = 0.23 ± 0.05, p < 0.001), but associations of postpartum HEI-total with reward-related eating measures and self-regulation were small and not statistically significant. Pregnancy and postpartum HEI-total were associated inversely with HFI-OBES (β = − 0.17 ± 0.06, p = 0.004 and β = − 0.19 ± 0.07, p = 0.006, respectively), and positively with HFI-FV (β = 0.21 ± 0.05, p < 0.001 and β = 0.17 ± 0.06, p = 0.009, respectively). Conclusions Associations of poorer diet quality with greater reward-related eating during pregnancy but not postpartum suggests the need to better understand differences in the determinants of eating behaviors and approaches to circumvent or moderate reward-related eating to facilitate more optimal diet quality across this critical period. Trial registration Clinicaltrials.gov. URL – Registration ID – NCT02217462. Date of registration – August 13, 2014.

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