Retail food outlets and metabolic syndrome: a systematic review of longitudinal studies

A high density of ultra-processed food, alcohol & tobacco retail stores, and social inequalities are associated with higher mortality rates of non-communicable diseases in Mexican adults: 2005 to 2021

BACKGROUND

Non-communicable diseases (NCDs) are the leading causes of mortality in Mexico. Factors contributing to NCDs-related deaths may vary across small geographic areas such as municipalities. We aimed to predict municipal-level factors associated with NCD mortality in Mexican adults from 2005 to 2021 using the small-area analysis (SSA) approach.

METHODS

We gathered data on population sociodemographic, access to healthcare services, and mortality records at the municipal-level from census and public institutions from 2005 to 2021. We identified municipal predictors of NCDs mortality rates (MR) using negative binomial regression models.

RESULTS

A total of 584,052 observations of Mexican adults were analyzed. The national expected NCDs MR per 100,000 inhabitants was 210.7 (95%CI: 196.1-226.7) in 2005 and increased to 322.4 (95%CI: 300.3-346.4) by 2021. Predictors of NCDs mortality (quintile 5 vs. quintile 1) included; indigeneity (IRR = 1.15, 95%CI: 1.12-1.19), poverty (IRR = 1.14, 95%CI: 1.13-1.15), affiliation with Mexican Social Security Institute (IRR = 1.11, 95%CI: 1.09-1.14), households with television (IRR = 1.14, 95%CI: 1.11-1.17), and high density of ultra-processed food, alcohol & tobacco retail stores (IRR = 1.15, 95%CI: 1.13-1.17). The greatest increases in MR were observed in municipalities from Oaxaca (>200% increments).

CONCLUSION

There was an overall increase in NCDs MR from 2005 to 2021, with a significant geographic variation among Mexican municipalities. The results of this study highlight the importance of identifying priority areas in the country that urgently require public policies focused on local factors associated with deaths from NCDs, such as the regulation of the ultra-processed food, alcohol & tobacco retail stores, and efforts to reduce social inequalities.

Global positioning system-based food environment exposures, diet-related, and cardiometabolic health outcomes: a systematic review and research agenda

BACKGROUND

Geographic access to food may affect dietary choices and health outcomes, but the strength and direction of associations may depend on the operationalization of exposure measures. We aimed to systematically review the literature on up-to-date evidence on the association between food environment exposures based on Global Positioning System (GPS) and diet-related and cardiometabolic health outcomes.

METHODS

The databases PubMed, Embase.com, APA PsycInfo (via Ebsco), Cinahl (via Ebsco), the Web of Science Core Collection, Scopus, and the International Bibliography of the Social Sciences (via ProQuest) were searched from inception to October 31, 2022. We included studies that measured the activity space through GPS tracking data to identify exposure to food outlets and assessed associations with either diet-related or cardiometabolic health outcomes. Quality assessment was evaluated using the criteria from a modified version of the Newcastle-Ottawa Scale (NOS) for cross-sectional studies. We additionally used four items from a quality assessment tool to specifically assess the quality of GPS measurements.

RESULTS

Of 2949 studies retrieved, 14 studies fulfilled our inclusion criteria. They were heterogeneous and represent inconsistent evidence. Yet, three studies found associations between food outlets and food purchases, for example, more exposure to junk food outlets was associated with higher odds of junk food purchases. Two studies found associations between greater exposure to fast food outlets and higher fast food consumption and out of three studies that investigated food environment in relation to metabolic outcomes, two studies found that higher exposure to an unhealthy food environment was associated with higher odds of being overweight.

CONCLUSIONS

The current and limited evidence base does not provide strong evidence for consistent associations of GPS-based exposures of the food environment with diet-related and cardiometabolic health outcomes.

Community food environment and childhood obesity in a medium-sized Brazilian city: An approach to school and neighborhood environments

OBJECTIVE

We aimed to analyze the relationship of community food environments with childhood obesity in a medium-sized Brazilian city.

METHODS

This is a cross-sectional study with 366 schoolchildren aged 8 and 9 years. Children's body mass index (BMI), waist circumference and concentrations of total cholesterol (TC), high cholesterol density lipoprotein (HDL-c), low cholesterol density lipoprotein (LDL-c) and triglycerides (TG) were measured. The parent's nutritional status was assessed by calculating the BMI. All food stores within a 200- and 400-m radius buffers of schools and households were evaluated. The food stores were classified as healthy, unhealthy, and mixed according to the predominance of foods commercialized. Binary logistic regression models were proposed for each category.

RESULTS

Over seventy percent (70.2%) of the food stores were categorized as "unhealthy". The prevalence of obesity was 15.6%. In the 200-m buffer around schools, there was an inverse and direct association between obesity and the presence of healthy food stores and unhealthy food stores, respectively. Around the households, there was an inverse association between the presence of healthy food stores and obesity in both buffers.

CONCLUSION

The community food environment may be protective or potentiating childhood obesity, depending on the access and types of food sold.

The community food environment and its association with diet, health or weight status in Australia: A systematic review with recommendations for future research

ISSUE ADDRESSED

This study systematically reviewed Australian literature to determine if an association exists between geospatial exposure to food outlets and diet, health or weight status. Recommendations for future research are provided.

METHODS

A systematic literature search was conducted in December 2021 using CINAHL Plus, PubMed and Web of Science databases. Data were extracted, as per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Study quality was assessed using an eight-item checklist. A descriptive synthesis of study characteristics and findings was carried out, stratified via study outcomes.

RESULTS

Of the 36 included articles, the majority were from Victoria (n = 19), involving adult participants (n = 30) and cross-sectional in design (n = 27). Overall, associations were mainly null (nonsignificant) for diet (80%), weight status (75%) and health outcomes (90%). Significant findings were mixed with no positive trend with study quality.

CONCLUSIONS

Six recommendations are suggested to address current knowledge gaps and limitations in the Australian evidence base: (1) Conduct research on different populations; (2) Employ robust study designs that can test the impact of change over time; (3) Improve the accuracy of food outlet data sources; (4) Improve food outlet geospatial exposure measures; (5) Improve measurement of outcome variables; and (6) Incorporate theoretical models into study design and data analysis. SO WHAT?: Improving the quality and consistency of research will be critical to informing locally relevant policy. Despite the present limitations in the evidence base, it is reasonable to assume that decisions to purchase and consume food are driven by availability and access. Thus, policy and planning aimed at improving the overall "healthiness" of the community food environment by increasing access to healthy food outlets is warranted to ensure that healthy options are easier choice for all.