Food environment and socioeconomic status influence obesity rates in Seattle and in Paris

Health behavior interventions among people with lower socio-economic position: a scoping review of behavior change techniques and effectiveness

Background

Behavior change interventions can unintendedly widen existing socio-economic health inequalities. Understanding why interventions are (in)effective among people with lower socio-economic position (SEP) is essential. Therefore, this scoping review aims to describe what is reported about the behavior change techniques (BCTs) applied within interventions and their effectiveness in encouraging physical activity and healthy eating, and reducing smoking and alcohol consumption according to SEP.

Methods

A systematic search was conducted in 12 electronic databases, and 151 studies meeting the eligibility criteria were included and coded for health behavioral outcomes, SEP-operationalization, BCTs (type and number) and effectiveness.

Results

Findings suggest that approaches for measuring, defining and substantiating lower SEP vary. Current studies of behavior change interventions for people of different SEP do not systematically identify BCTs, making systematic evaluation of BCT effectiveness impossible. The effectiveness of interventions is mainly evaluated by overall intervention outcomes and SEP-moderation effects are mostly not assessed.

Conclusion

Using different SEP-operationalizations and not specifying BCTs hampers systematic evidence accumulation regarding effective (combinations of) BCTs for the low SEP population. To learn which BCTs effectively improve health behaviors among people with lower SEP, future intervention developers should justify how SEP is operationalized and must systematically describe and examine BCTs.

Sex-specific impulsivity, but not other facets of executive function, predicts fat and sugar intake two-years later amongst adolescents with a healthy weight: Findings from the ABCD study

During adolescence, processes that control food intake (executive functions [EF]) undergo extensive refinement; underlying differences in EF may explain the inability to resist overeating unhealthy foods. Yet, overeating fat and sugar also causes changes to EF and cognition but disentangling these relationships has been difficult, as previous studies included youth with obesity. Here, amongst youth initially of a healthy weight, we evaluate whether 1) sex-specific underlying variation in EF/cognition at 9/10-years-old predict fat/sugar two-years later (Y2) and 2) if these relationships are moderated by body mass index (BMI), using linear mixed effects models (controlled for puberty, caregiver education; random effect: study site). Data were leveraged from Adolescent Brain Cognitive Development Study (n = 2987; 50.4% male; 15.4% Latino/a/x; 100% healthy weight at baseline; 12.4% overweight/obese by Y2, data release 4.0). EF and cognition (e.g., inhibition, cognition, motor, memory, impulsivity) were assessed with the NIH toolbox, Rey Auditory Verbal Learning Task, Little Man Task, the BIS/BAS, and UPPS-P. A saturated fat/added sugar (kcals) composite score was extracted from the validated Kids Food Block Screener. For males, greater baseline impulsivity (e.g., Positive Urgency, Lack of Planning and Perseverance) and reward (e.g., Fun seeking, Drive) was related to greater Y2 intake. For both sexes, greater baseline Negative Urgency and higher BMI was related to greater Y2 intake. No other relationships were observed. Our findings highlight a phenotype that may be more at risk for weight gain due to overconsumption of fat/sugar. Thus, prevention efforts may wish to focus on impulsive tendencies for these foods.

Social deprivation and kidney failure due to an undiagnosed nephropathy

BACKGROUND

In France, kidney diseases of undetermined origin account for 5%-20% of all causes of end-stage kidney disease. We investigated the impact of social disadvantage on the lack of aetiological diagnosis of nephropathies.

METHODS

Data from patients who started dialysis in France between 1 January 2017 and 30 June 2018 were extracted from the French Renal Epidemiology and Information Network registry. The social deprivation of each individual was estimated by the European Deprivation Index (EDI) defined by the patient's address. Logistic regression was used to perform mediation analysis to study the potential association between social deprivation and unknown nephropathy.

RESULTS

Of the 7218 patients included, 1263 (17.5%) had unknown kidney disease. A total of 394 (31.4%) patients in the unknown kidney disease belonged to the most deprived quintile of the EDI [fifth quintile (Q5)], vs 1636 (27.5%) patients in the known kidney disease group. In the multivariate analysis, unknown kidney disease was associated with Q5 (odds ratio 1.40, 95% confidence interval 1.12-1.74, P = .003). Mediation analysis did not identify any variables (e.g. obesity, initiation of dialysis in emergency, number of visits to the general practitioner and nephrologist before initiation of dialysis, date of first nephrology consultation) that mediated the association between social deprivation and nephropathy of unknown origin.

CONCLUSIONS

Our results show that, compared with nondeprived subjects, individuals experiencing social deprivation have a higher risk of unknown nephropathy at dialysis initiation. However, mediation analysis did not identify any variables that explained the association between social deprivation and nephropathy of unknown origin.

Guide Development for eHealth Interventions Targeting People With a Low Socioeconomic Position: Participatory Design Approach

BACKGROUND

People with a low socioeconomic position (SEP) are less likely to benefit from eHealth interventions, exacerbating social health inequalities. Professionals developing eHealth interventions for this group face numerous challenges. A comprehensive guide to support these professionals in their work could mitigate these inequalities.

OBJECTIVE

We aimed to develop a web-based guide to support professionals in the development, adaptation, evaluation, and implementation of eHealth interventions for people with a low SEP.

METHODS

This study consisted of 2 phases. The first phase involved a secondary analysis of 2 previous qualitative and quantitative studies. In this phase, we synthesized insights from the previous studies to develop the guide's content and information structure. In the second phase, we used a participatory design process. This process included iterative development and evaluation of the guide's design with 11 professionals who had experience with both eHealth and the target group. We used test versions (prototypes) and think-aloud testing combined with semistructured interviews and a questionnaire to identify design requirements and develop and adapt the guide accordingly.

RESULTS

The secondary analysis resulted in a framework of recommendations for developing the guide, which was categorized under 5 themes: development, reach, adherence, evaluation, and implementation. The participatory design process resulted in 16 requirements on system, content, and service aspects for the design of the guide. For the system category, the guide was required to have an open navigation strategy leading to more specific information and short pages with visual elements. Content requirements included providing comprehensible information, scientific evidence, a user perspective, information on practical applications, and a personal and informal tone of voice. Service requirements involved improving suitability for different professionals, ensuring long-term viability, and a focus on implementation. Based on these requirements, we developed the final version of "the inclusive eHealth guide."

CONCLUSIONS

The inclusive eHealth guide provides a practical, user-centric tool for professionals aiming to develop, adapt, evaluate, and implement eHealth interventions for people with a low SEP, with the aim of reducing health disparities in this population. Future research should investigate its suitability for different end-user goals, its external validity, its applicability in specific contexts, and its real-world impact on social health inequality.

Association of the retail food environment, BMI, dietary patterns, and socioeconomic position in urban areas of Mexico

The retail food environment is a key modifiable driver of food choice and the risk of non-communicable diseases (NCDs). This study aimed to assess the relationship between the density of food retailers, body mass index (BMI), dietary patterns, and socioeconomic position in Mexico. Cross-sectional dietary data, BMI and socioeconomic characteristics of adult participants came from the nationally representative 2012 National Health and Nutrition Survey in Mexico. Geographical and food outlet data were obtained from official statistics. Densities of food outlets per census tract area (CTA) were calculated. Dietary patterns were determined using exploratory factor analysis and principal component analysis. The association of food environment variables, socioeconomic position, BMI, and dietary patterns was assessed using two-level multilevel linear regression models. Three dietary patterns were identified-the healthy, the unhealthy and the carbohydrates-and-drinks dietary pattern. Lower availability of fruit and vegetable stores was associated with an unhealthier dietary pattern whilst a higher restaurant density was associated with a carbohydrates-and-drinks pattern. A graded and inverse association was observed for fruit and vegetable store density and socioeconomic position (SEP)-lower-income populations had a reduced availability of fruit and vegetable stores, compared with higher-income populations. A higher density of convenience stores was associated with a higher BMI when adjusting for unhealthy dietary patterns. Upper-income households were more likely to consume healthy dietary patterns and middle-upper-income households were less likely to consume unhealthy dietary patterns when exposed to high densities of fruit and vegetable stores. When exposed to a high concentration of convenience stores, lower and upper-lower-income households were more likely to consume unhealthy dietary patterns. Food environment and sociodemographic conditions within neighbourhoods may affect dietary behaviours. Food environment interventions and policies which improve access to healthy foods and restrict access to unhealthy foods may facilitate healthier diets and contribute to the prevention of NCDs.

Food availability and affordability in a Mediterranean urban context: associations by store type and area-level socio-economic status

OBJECTIVE

Although food environments have been highlighted as potentially effective targets to improve population diets, evidence on Mediterranean food environments is lacking. We examined differences in food availability and affordability in Madrid (Spain) by store type and area-level socio-economic status (SES).

DESIGN

Cross-sectional study. Trained researchers conducted food store audits using the validated Nutrition Environment Measures Survey in Stores for Mediterranean contexts (NEMS-S-MED) tool to measure the availability and price of twelve food groups (specific foods = 35). We computed NEMS-S-MED scores and summarised price data with a Relative Price Index (RPI, comparing prices across stores) and an Affordability Index (normalising prices by area-level income). We compared the availability and affordability of 'healthier-less healthy' food pairs, scores between food store types (supermarkets, specialised, convenience stores and others) and area-level SES using ANOVA and multi-level regression models.

SETTING

City of Madrid. 2016 and 2019 to cover a representative sample.

PARTICIPANTS

Food stores within a socio-economically diverse sample of sixty-three census tracts (n 151).

RESULTS

Supermarkets had higher food availability (37·5/49 NEMS-S-MED points), compared to convenience stores (13·5/49) and specialised stores (8/49). Supermarkets offered lower prices (RPI: 0·83) than specialised stores (RPI: 0·97) and convenience stores (RPI: 2·06). Both 'healthy' and 'less healthy' items were more available in supermarkets. We found no differences in food availability or price by area-level SES, but affordability was higher in higher-income areas.

CONCLUSIONS

Supermarkets offered higher food availability and affordability for healthy and less healthy food items. Promoting healthy food availability through supermarkets and specialised stores and/or limiting access to convenience stores are promising policy options to achieve a healthier food environment.

The Associations Between Urban Form and Major Non-communicable Diseases: a Systematic Review

In the current century, non-communicable diseases (NCDs), particularly cardiovascular diseases, diabetes, cancer, and chronic respiratory diseases, are the most important cause of mortality all over the world. Given the effect of the built environment on people's health, the present study seeks to conduct a systematic review in order to investigate the relationship between urban form and these four major NCDs as well as their main risk factors. Two independent reviewers in November 2020 after an extensive search through PubMed and Scopus identified 77 studies. Studies published in English were included if they addressed one or more attributes of urban form in relation to any major NCDs and their main risk factors. Publication date, country, geographical scale, study design, methods of built environment measurement, and findings of the relationships among variables were extracted from eligible studies. The findings suggest that the elements of urban form (density, transportation and accessibility, characteristics of building and streetscape, land use, spatial layouts and configuration) could increase or inhibit these diseases through their effect on physical activity, diet, air pollution, blood pressure, and obesity. However, there are study shortages, contradictions, and ambiguities in these relationships which are mainly due to methodological and conceptual challenges. As a result, more in-depth research is needed to achieve solid and consistent results that could be made into clear guidelines for planning and designing healthier cities.

Availability of food stores around Brazilian schools

The aim of this study was to analyze the availability of food stores in the territory of schools. Ecological study conducted in Viçosa, Minas Gerais, Brazil, with all schools (N=42) and food stores (N=656). Data were collected through the objective evaluation of the environment, and the stores were categorized into healthy, unhealthy, mixed and supermarkets. Bivariate Ripley´s K function assessed the existence of clustering of categories of stores in the territory of schools. All the schools had at least one food store in their territory. Unhealthy stores were the most common and closest to the schools. There were more stores around private schools, offering high school education, located in the central region and in the highest per capita income tercile. The bivariate Ripley´s K function showed evidence of clustering of stores at all analyzed distances (400 to 1.5 km) with up to 3 times more establishments than would be expected if they were randomly distributed. Therefore, schoolchildren were likely exposed to unhealthy food environments, regardless of neighborhood income and location, which may contribute to inadequate food choices.

Associations between retail food environment and the nutritional quality of food purchases in French households: The Mont’Panier cross-sectional study

Purpose

The purpose of this study was to assess whether the retail food environment, measured by multiple indicators around the home and in activity space, was associated with the nutritional quality of food purchases.

Methods

This cross-sectional study included 462 households from a quota sampling survey conducted in the south of France (Montpellier Metropolitan Area). The revised Healthy Purchase Index was implemented in order to assess the nutritional quality of food purchases. Food environment indicators (presence, number, relative density and proximity of food outlets) were calculated around the home and in activity space using a geographical information system. Six different types of food outlets were studied: supermarkets, markets, greengrocers, bakeries, other specialized food stores (butcher’s, fishmonger’s and dairy stores) and small grocery stores. Associations between food environment and the nutritional quality of food purchases were assessed using multilevel models, and geographically weighted regressions to account for spatial non-stationarity. Models were adjusted for households’ socioeconomic and demographic characteristics.

Results

The nutritional quality of food purchases was positively associated with the number of greengrocers around the home (1 vs. 0: β = 0.25, 95%CI = [0.01, 0.49]; >1 vs. 0: β = 0.25, 95%CI = [0.00, 0.50]), but negatively associated with the number of markets around the home (1 vs. 0: β = -0.20, 95%CI = [-0.40, 0.00]; >1 vs. 0: β = -0.37, 95%CI = [-0.69, -0.06]). These associations varied across space in the area studied. For lower income households, the number of greengrocers in activity space was positively associated with the nutritional quality of food purchases (1 vs. 0: β = 0.70, 95%CI = [0.12, 1.3]; >1 vs. 0: β = 0.67, 95%CI = [0.22, 1.1]).

Conclusions

Greengrocers might be an effective type of food store for promoting healthier dietary behaviors. Further studies, particularly interventional studies, are needed to confirm these results in order to guide public health policies in actions designed to improve the food environment.

2022 Prevention of chronic non-communicable diseases in Of the Russian Federation. National guidelines

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Ultra-processed foods and obesity and adiposity parameters among children and adolescents: a systematic review

PURPOSE

According to the NOVA classification, ultra-processed foods are products made through physical, biological and chemical processes and typically with multiple ingredients and additives, in which whole foods are mostly or entirely absent. From a nutritional point of view, they are typically energy-dense foods high in fat, sugar, and salt and low in fiber. The association between the consumption of ultra-processed food and obesity and adiposity measurements has been established in adults. However, the situation remains unclear in children and adolescents.

METHODS

We carried out a systematic review, in which we summarize observational studies investigating the association between the consumption of ultra-processed food, as defined by NOVA classification, and obesity and adiposity parameters among children and adolescents. A literature search was performed using PUBMED and Web of Science databases for relevant articles published prior to May 2021.

RESULTS

Ten studies, five longitudinal and five cross-sectional, mainly conducted in Brazil, were included in this review. Four longitudinal studies in children with a follow-up longer than 4 years found a positive association between the consumption of ultra-processed food and obesity and adiposity parameters, whereas cross-sectional studies failed to find an association.

CONCLUSION

These data suggest that a consistent intake of ultra-processed foods over time is needed to impact nutritional status and body composition of children and adolescents. Further well-designed prospective studies worldwide are needed to confirm these findings considering country-related differences in dietary habits and food production technologies.

Association between Quality of Diets and the Risk of Obesity Complication among a Sample of Egyptian Obese Women

Abstract Background: The fundamental cause of obesity and overweight is an energy imbalance between calories consumed and calories expended. The aim of this study was to identify the awareness of a sample of Egyptian women about eating healthy diet, using Dietary Approaches to Stop Hypertension (DASH) diet as an example. Methods: This study is a cross-sectional study included 109 Egyptian women random chosen, with age range 25-60 years. Full clinical examinations, anthropometric parameters, dietary recalls, and socioeconomic parameters were recorded. Biochemical analysis was done including serum lipid profile. Results: Data showed that a large percentage of the participants (56.9%) were consuming a poor-quality diet, while 20.0% were consuming intermediate quality diet. Only 16.5% and 9.2% of them were aware of eating a good and high-quality healthy diet. Data shows that the calories, macronutrients, saturated fatty acids (SFAs), cholesterol and sodium intake among both poor and the intermediate groups were higher, while their intake of the monounsaturated fatty acids (MUFAs), poly unsaturated fatty acids (PUFAs), fiber, important vitamins and the minerals, was significantly low. The mean values of the BMI, body fat %, FFM (Fat Free Mass), waist circumference, visceral fat and LDL-C values showed significant differences between the groups at p≤ 0.05- 0.001, in favor of the good and high groups. Conclusions: Data of this study revealed that poor quality diet was widespread among studied Egyptian women sample; right food choice was associated with the educational level. So, helping individuals to make the right food choices will help in improve diet quality and health.

Human spatial memory is biased towards high-calorie foods: a cross-cultural online experiment

Background

Human memory appears to prioritise locations of high-calorie foods, likely as an adaptation for foraging within fluctuating ancestral food environments. Importantly, this “high-calorie bias” in human spatial memory seems to yield consequences for individual eating behaviour in modern food-abundant settings. However, as studies have mainly been conducted in European (Dutch) populations to date, we investigated whether the existence of the cognitive bias can be reasonably generalised across countries that vary on culturally-relevant domains, such as that of the USA and Japan. Furthermore, we investigated whether sociodemographic factors moderate the expression of the high-calorie spatial memory bias in different populations.

Methods

In a cross-cultural online experiment, we measured the food location memory of diverse participants from the USA (N = 72; 44.4% Male; 54 ± 15.99 years) and Japan (N = 74; 56.8% Male; 50.85 ± 17.32 years), using a validated computer-based spatial memory task with standardised images of high-calorie and low-calorie foods. To directly compare the magnitude of the high-calorie spatial memory bias in a broader cultural scope, we also included data from a previous online experiment that identically tested the food spatial memory of a Dutch sample (N = 405; 56.7% Male; 47.57 ± 17.48 years).

Results

In the US sample, individuals more accurately recalled (i.e. had lower pointing errors for) locations of high-calorie foods versus that of low-calorie alternatives (Mean difference = -99.23 pixels, 95% CI = [-197.19, -1.28]) – regardless of one’s hedonic preferences, familiarity with foods, and encoding times. Likewise, individuals in the Japanese sample displayed an enhanced memory for locations of high-calorie (savoury-tasting) foods (Mean difference = -40.41 pixels, 95% CI = [-76.14, -4.68]), while controlling for the same set of potential confounders. The magnitude of the high-calorie bias in spatial memory was similar across populations (i.e. the USA, Japan, and the Netherlands), as well as across diverse sociodemographic groups within a population.

Conclusions

Our results demonstrate that the high-calorie bias in spatial memory transcends sociocultural boundaries. Since the cognitive bias may negatively impact on our dietary decisions, it would be wise to invest in strategies that intervene on our seemingly universal ability to efficiently locate calorie-rich foods.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12966-022-01252-w.

Outcomes Following eHealth Weight Management Interventions in Adults With Overweight and Obesity From Low Socioeconomic Groups: Protocol for a Systematic Review

BACKGROUND

Obesity is a complex health condition with multiple associated comorbidities and increased economic costs. People from low socioeconomic status (SES) backgrounds are more likely to be overweight and obese and are less successful in traditional weight management programs. It is possible that eHealth interventions may be more successful in reaching people from low SES groups than traditional face-to-face models, by overcoming certain barriers associated with traditional interventions. It is not yet known, however, if eHealth weight management interventions are effective in people living with overweight and obesity from a low SES background.

OBJECTIVE

The primary aim of this study is to evaluate the efficacy of eHealth weight management interventions for people with overweight and obesity from low SES groups.

METHODS

A systematic review on relevant electronic databases (MEDLINE, Embase, Emcare, and CINAHL) will be undertaken to identify eligible studies published in English up until May 2021. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement to guide the systematic review, two reviewers will independently screen, select, and extract data and complete a risk of bias assessment of search results according to predefined criteria. Studies that have investigated an eHealth weight management intervention within a low SES population will be included. Primary outcomes include weight, BMI, and percentage weight change compared at baseline and at least one other time point. Secondary outcomes may include a range of anthropometric and physical fitness and activity measures. If sufficient studies are homogeneous, then we will pool results of individual outcomes using meta-analysis.

RESULTS

Searches have been completed, resulting in 2256 studies identified. Once duplicates were removed, 1545 studies remained for title and abstract review.

CONCLUSIONS

The use of eHealth in weight management programs has increased significantly in recent years and will continue to do so; however, it is uncertain if eHealth weight management programs are effective in a low SES population. The results of this systematic review will therefore provide a summary of the evidence for interventions using eHealth for people living with overweight and obesity and from a low SES background.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42021243973; https://tinyurl.com/2p8fxtnw.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/34546.

Roles of Cities in Creating Healthful Food Systems

Over the past several decades, cities worldwide have attempted to reconfigure their food systems to improve public health, advance social justice, and promote environmental resilience using diverse municipal policies, often with the support of stakeholder-led governance mechanisms such as food policy councils. This article reviews the roles that cities have played in creating healthful urban food systems and the effects of those policies on public health. It explains that despite wide-ranging policy initiatives, disparities in food insecurity and malnourishment persist. It concludes by describing several promising pathways for urban food policy: engaging in food-focused urban planning to create equitable food environments; treating policies to address inequality and social justice as upstream food policies; considering the effects of new business models such as online food retail in urban food policy making; and using food procurement as a lever to influence regional, national, and global food systems. Expected final online publication date for the Annual Review of Public Health, Volume 43 is April 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Social inequalities in obesity and overweight: secular changes in Poland between 1983 and 2020

BACKGROUND

Human development is strongly influenced by environmental factors, including the socioeconomic status (SES) of the family. The aim of this study is to analyze the prevalence of excess body weight among Polish children and adolescents from families of varying SES examined in 1983 and 2020.

METHODS

The study group included 3-15-year olds from two cross-sectional surveys (1983 and 2020) conducted in kindergartens and schools. The 1983 cohort consisted of 3394 individuals and the one from 2020-of 1253 children and adolescents. Body height and weight were measured and body mass index was calculated. Inclusion into underweight, normal weight and overweight/obese categories was based on Cole's cutoff points. SES was established based on the place of the parents' birth, parents', education status and the number of children in the family, which were self-reported in a questionary by the parents of the examined individuals.

RESULTS

The mean overall SES was higher in the 2020 cohort, in comparison to the one examined in 1983. This change was also reflected by the changing prevalence of excess body weight, which, in 1983 was the greatest in the high socioeconomic category. On the other hand, in 2020 overweight/obesity was the most prevalent among individuals from families of low SES.

CONCLUSIONS

The present results confirm the findings obtained in other countries, which suggest that changing the level of socioeconomic development modifies the changes regarding the prevalence of excess body weight. It is an important observation because a study of this type has not yet been conducted in the Polish population.

Association of Urban Liveability with Cancer Incidence in Iran: A Nationwide Ecological Study

Background: Urban liveability is a multidimensional concept associated with many domains of human health. Objectives: This study aimed at investigating the association between urban liveability and cancer incidence in Iran. Methods: The data of provincial-level urban liveability were obtained from reliable sources. The data of cancer incidence were inquired from the population-based cancer registry of the Iranian Ministry of Health and Medical Education in 2016. Urban liveability scores were determined in all provinces of Iran by utilizing the Global Liveable City Index (GLCI) method. Negative binomial Poisson regression was used to examine the relationship between urban liveability and cancer incidence. Results: Provinces with a higher urban liveability had a higher likelihood of cancer incidence. Higher economic score was significantly associated with higher incidence in colorectal (IRR = 1.49, P = 0.005), liver (IRR = 1.48, P = 0.002), leukemia (IRR = 1.39, P = 0.005), lung (IRR = 1.39, P = 0.039), breast (IRR = 1.38, P = 0.011), and prostate cancers (IRR = 2.11, P < 0.001). Also, provinces with higher environmental friendliness and sustainability had significantly more stomach (IRR = 1.53, P = 0.004), colorectal (1.79, P < 0.001), lung (IRR = 1.43, P = 0.014), and prostate (IRR = 1.50, P = 0.032) cancer incidence. Provinces with higher political governance had significantly more breast cancer (IRR = 1.34, P = 0.002) and leukemia (IRR = 1.30, P = 0.016) incidence rates. Conclusions: Along with the development of urban liveability, the incidence of cancers is increasing in Iran. Cancer control strategies should be implemented especially in settings with higher urbanization.

Food Acquisition and Shopping Patterns in the United States: Characteristics and Relation to Body Mass Index in the US Food Acquisition and Purchase Survey

BACKGROUND

Previous studies examined the association between shopping distance, frequency, and store type separately.

OBJECTIVES

The objective is to explore food acquisition and shopping habits using multidimensional measures and examine its association with body mass index (BMI).

DESIGN

A cross-sectional study was conducted.

PARTICIPANTS/SETTING

Four thousand four hundred sixty-six households from the US Food Acquisition and Purchase Survey during April 2012 to January 2013 were included in this analysis.

MAIN OUTCOMES MEASURES

Both continuous BMI and categorical BMI were used.

STATISTICAL ANALYSES

Latent class analysis was used to identify the latent profiles using travel distance and perceived travel time between residential location and primary store, store type, transportation mode, and farmers' market utilization. Multivariable linear regression and multinomial logistic regression were used to assess the association between the identified patterns and continuous and categorical BMI. All analyses were stratified by urbanicity.

RESULTS

Overall, 65% (weighted percentage) of households were located in an urban tract. Thirty-seven percent were categorized as Class 1 (households that shopped more proximally, used their own vehicle, and shopped at a farmers' market), 50% as Class 2 (households that shopped more distally, used their own vehicle, and shopped at a farmers' market), and 14% as Class 3 (households that shopped proximally but perceived longer travel time, used someone else's vehicle, and did not shop at a farmers' market). Among rural households, 54% were Class 1 and 46% were Class 2 (Class 3 was not identified). Socioeconomic status characteristics, proximity, and store food price concerns were associated with the identified patterns. However, no significant association was found between the identified patterns and BMI.

CONCLUSIONS

Food acquisition and shopping patterns were not associated with BMI in this national sample. However, future studies should also investigate the role of economic factors, such as food prices, in relation to shopping patterns and BMI.

Enhancing community weight loss groups in a low socioeconomic status area: Application of the COM-B model and Behaviour Change Wheel

Background

Obesity rates are higher among people of lower socioeconomic status. While numerous health behaviour interventions targeting obesity exist, they are more successful at engaging higher socioeconomic status populations, leaving those in less affluent circumstances with poorer outcomes. This highlights a need for more tailored interventions. The aim of this study was to enhance an existing weight loss course for adults living in low socioeconomic communities.

Methods

The Behaviour Change Wheel approach was followed to design an add‐on intervention to an existing local authority‐run weight loss group, informed by mixed‐methods research and stakeholder engagement.

Results

The COM‐B analysis of qualitative data revealed that changes were required to psychological capability, physical and social opportunity and reflective motivation to enable dietary goal‐setting behaviours. The resulting SMART‐C booklet included 6 weeks of dietary goal setting, with weekly behavioural contract and review.

Conclusion

This paper details the development of the theory‐ and evidence‐informed SMART‐C intervention. This is the first report of the Behaviour Change Wheel being used to design an add‐on tool to enhance existing weight loss services. The process benefitted from a further checking stage with stakeholders.

Do associations between education and obesity vary depending on the measure of obesity used? A systematic literature review and meta-analysis

Background

Consistent evidence suggests a relationship between lower educational attainment and total obesity defined using body mass index (BMI); however, a comparison of the relationships between educational attainment and total obesity (BMI ≥30 kg/m²) and central obesity (waist circumference (WC) > 102 cm for men and WC > 88 cm for women) has yet to be carried out. This systematic literature review (SLR) and meta-analyses aimed to understand whether i) the associations between education and obesity are different depending on the measures of obesity used (BMI and WC), and ii) to explore whether these relationships differ by gender and region.

Methods

Medline, Embase and Web of Science were searched to identify studies investigating the associations between education and total and central obesity among adults in the general population of countries in the Organisation for Economic Co-operation and Development (OECD). Meta-analyses and meta-regression were performed in a subset of comparable studies (n=36 studies; 724,992 participants).

Results

86 eligible studies (78 cross-sectional and eight longitudinal) were identified. Among women, most studies reported an association between a lower education and total and central obesity. Among men, there was a weaker association between lower education and central than total obesity (OR central vs total obesity in men 0.79 (95% CI 0.60, 1.03)). The association between lower education and obesity was stronger in women compared with men (OR women vs men 1.66 (95% CI 1.32, 2.08)). The relationship between lower education and obesity was less strong in women from Northern than Southern Europe (OR Northern vs Southern Europe in women 0.37 (95% CI 0.27, 0.51)), but not among men.

Conclusions

Associations between education and obesity differ depending on whether total or central obesity is used among men, but not in women. These associations are stronger among women than men, particularly in Southern European countries.

Attitudes Toward Health, Healthcare, and eHealth of People With a Low Socioeconomic Status: A Community-Based Participatory Approach

Low socioeconomic status (SES) is associated with a higher prevalence of unhealthy lifestyles compared to a high SES. Health interventions that promote a healthy lifestyle, like eHealth solutions, face limited adoption in low SES groups. To improve the adoption of eHealth interventions, their alignment with the target group's attitudes is crucial. This study investigated the attitudes of people with a low SES toward health, healthcare, and eHealth. We adopted a mixed-method community-based participatory research approach with 23 members of a community center in a low SES neighborhood in the city of Rotterdam, the Netherlands. We conducted a first set of interviews and analyzed these using a grounded theory approach resulting in a group of themes. These basic themes' representative value was validated and refined by an online questionnaire involving a different sample of 43 participants from multiple community centers in the same neighborhood. We executed three focus groups to validate and contextualize the results. We identified two general attitudes based on nine profiles toward health, healthcare, and eHealth. The first general attitude, optimistically engaged, embodied approximately half our sample and involved light-heartedness toward health, loyalty toward healthcare, and eagerness to adopt eHealth. The second general attitude, doubtfully disadvantaged, represented roughly a quarter of our sample and was related to feeling encumbered toward health, feeling disadvantaged within healthcare, and hesitance toward eHealth adoption. The resulting attitudes strengthen the knowledge of the motivation and behavior of people with low SES regarding their health. Our results indicate that negative health attitudes are not as evident as often claimed. Nevertheless, intervention developers should still be mindful of differentiating life situations, motivations, healthcare needs, and eHealth expectations. Based on our findings, we recommend eHealth should fit into the person's daily life, ensure personal communication, be perceived usable and useful, adapt its communication to literacy level and life situation, allow for meaningful self-monitoring and embody self-efficacy enhancing strategies.

The retail food environment and its association with body mass index in Mexico

BACKGROUND/OBJECTIVE

Mexico has one of the highest rates of obesity and overweight worldwide, affecting 75% of the population. The country has experienced a dietary and food retail transition involving increased availability of high-calorie-dense foods and beverages. This study aimed to assess the relationship between the retail food environment and body mass index (BMI) in Mexico.

SUBJECTS/METHODS

Geographical and food outlet data were obtained from official statistics; anthropometric measurements and socioeconomic characteristics of adult participants (N = 22,219) came from the nationally representative 2012 National Health and Nutrition Survey (ENSANUT). Densities (store count/census tract area (CTA)) of convenience stores, restaurants, fast-food restaurants, supermarkets and fruit and vegetable stores were calculated. The association of retail food environment variables, sociodemographic data and BMI was tested using multilevel linear regression models.

RESULTS

Convenience store density was high (mean (SD) = 50.0 (36.9)/CTA) compared with other food outlets in Mexico. A unit increase in density of convenience stores was associated with a 0.003 kg/m2 (95% CI: 0.0006, 0.005, p = 0.011) increase in BMI, equivalent to 0.34 kg extra weight for an adult 1.60 m tall for every additional 10% store density increase (number of convenience stores per CTA (km2)). Metropolitan areas showed the highest density of food outlet concentration and the highest associations with BMI (β = 0.01, 95% CI: 0.004-0.01, p < 0.001). A 10% store density increase in these areas would represent a 1 kg increase in weight for an adult 1.60 m tall.

CONCLUSIONS

Convenience store density was associated with higher mean BMI in Mexican adults. An excessive convenience store availability, that offers unhealthy food options, coupled with low access to healthy food resources or stores retailing healthy food, including fruits and vegetables, may increase the risk of higher BMI. This is the first study to assess the association of the retail food environment and BMI at a national level in Mexico.

Association of Socioeconomic Status and Overweight/Obesity in Rural-to-Urban Migrants: Different Effects by Age at Arrival

This study aims to investigate the association between socioeconomic status and overweight/obesity in rural-to-urban Yi migrants in China, and to explore whether the association varied by the age at arriving urban areas. The cross-sectional population-based data from the Yi Migrants Study in 2015 was used, which included 1,181 Yi migrants aged 20–80 years. Socioeconomic status was evaluated by education level, personal annual income, and a composited variable (socioeconomic status index, SESI). Measured weight and height were used to calculate BMI and to define overweight/obesity (BMI ≥ 24 kg/m²). The results suggested that the association of income and SESI with overweight/obesity was not significant when age at arrival (two groups, <20 and ≥20 years) was considered as a covariate. In the stratification analysis, reversed association was observed in the two groups of age at arrival. In migrants of <20 years of age at arrival, higher level of education and SESI were related to decreased risk of overweight/obesity. In contrary, in those of ≥20 years at arrival, higher socioeconomic status level was found to be related to increased risk. Our findings suggest that the effect of socioeconomic status on overweight/obesity was modified by the age at arrival in Yi migrants. Especially, the association between socioeconomic status and overweight/obesity was negative when migration before 20 years of age, and transfer to positive after 20 years.

Socioeconomic factors associated with diet quality and meeting dietary guidelines in disadvantaged neighborhoods in the Southeast United States

Objective: To examine diet quality and dietary intake among residents of disadvantaged neighborhoods in the Southeast United States (U.S.) and to examine associations between dietary and socioeconomic factors. Design: We examined baseline data from an evaluation study of a healthy food access initiative. Participants were recruited from two urban settings comprising seven neighborhoods of high household poverty (17% to 62%). Participants completed in-person interviews with measures of education, household income, and food security and one unannounced 24-hour dietary recall by telephone with trained registered dietitians. Food desert residence was coded based on U.S. Census data. Proportions meeting 2010 Dietary Guidelines for Americans and Healthy Eating Index 2010 (HEI-2010) scores were computed. Associations between dietary variables and participant's education, household income, food security, and food desert residence were tested. Results: Participants (n = 465) were predominantly African American (92%), women (80%), and overweight or obese (79%), and 52 ± 14 years of age. Sixty-three percent had low or very low food security, and 82% lived in census tracts of low income and low access to supermarkets (urban food desert). HEI-2010 scores averaged 48.8 ± 13.1. A minority of participants met dietary guidelines. Diet quality was lower among participants with lower education and among those from food insecure households (p < .05). Household income and food security were positively associated with meeting several dietary guidelines (p < .05). Food desert residence was unrelated to diet variables. Conclusions: In this disadvantaged population, significant nutritional concerns were observed, and socioeconomic factors were associated with diet quality and meeting dietary guidelines. Interventions must address broader economic, social, and policy issues such as access to affordable healthy foods.

Comparison of food and beverage products' availability, variety, price and quality in German and US supermarkets

Objective:

To assess availability, variety, price and quality of different food products in a convenience sample of supermarkets in Germany and the USA.

Design:

Cross-sectional study using an adapted version of the Bridging the Gap Food Store Observation Form.

Setting:

Information on availability, quality, price and variety of selected food products in eight German and seven US supermarkets (discount and full service) was obtained and compared by country.

Results:

A general tendency for lower prices of fruits and vegetables in Germany was observed, while produce quality and variety did not seem to differ between countries, with the exception of the variety of some vegetables such as tomatoes. Chips and cereals did not differ significantly in variety nor price. In both countries, high energy-dense foods were lower in energy costs than lower energy-dense foods.

Conclusions:

The influence of food prices and availability on consumption should be further explored, including the impact of country differences.

Impact of Built Environments on Body Weight (the Moving to Health Study): Protocol for a Retrospective Longitudinal Observational Study

BACKGROUND

Studies assessing the impact of built environments on body weight are often limited by modest power to detect residential effects that are small for individuals but may nonetheless comprise large attributable risks.

OBJECTIVE

We used data extracted from electronic health records to construct a large retrospective cohort of patients. This cohort will be used to explore both the impact of moving between environments and the long-term impact of changing neighborhood environments.

METHODS

We identified members with at least 12 months of Kaiser Permanente Washington (KPWA) membership and at least one weight measurement in their records during a period between January 2005 and April 2017 in which they lived in King County, Washington. Information on member demographics, address history, diagnoses, and clinical visits data (including weight) was extracted. This paper describes the characteristics of the adult (aged 18-89 years) cohort constructed from these data.

RESULTS

We identified 229,755 adults representing nearly 1.2 million person-years of follow-up. The mean age at baseline was 45 years, and 58.0% (133,326/229,755) were female. Nearly one-fourth of people (55,150/229,755) moved within King County at least once during the follow-up, representing 84,698 total moves. Members tended to move to new neighborhoods matching their origin neighborhoods on residential density and property values.

CONCLUSIONS

Data were available in the KPWA database to construct a very large cohort based in King County, Washington. Future analyses will directly examine associations between neighborhood conditions and longitudinal changes in body weight and diabetes as well as other health conditions.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/16787.

Eating behaviors moderate the associations between risk factors in the first 1000 days and adiposity outcomes at 6 years of age

BACKGROUND

Several risk factors in the first 1000 d are linked with increased obesity risk in later childhood. The role of potentially modifiable eating behaviors in this association is unclear.

OBJECTIVES

This study examined whether the association between cumulated risk factors in the first 1000 d and adiposity at 6 y is moderated by eating behaviors.

METHODS

Participants were 302 children from the GUSTO (Growing Up in Singapore Towards healthy Outcomes) cohort. Risk factors included maternal prepregnancy and paternal overweight, excessive gestational weight gain, raised fasting plasma glucose during pregnancy, short breastfeeding duration, and early introduction of solid foods. Composite risk scores reflecting the prevalence and the importance of the risk factors present were computed. Adiposity outcomes were child BMI and sum of skinfolds (SSF), and candidate eating behavior moderators were portion size, eating rate, and energy intake during lunch and in an eating in the absence of hunger task.

RESULTS

Higher composite risk score predicted higher BMI z scores (B = 0.08; 95% CI: 0.04, 0.13) and larger SSF (0.70 mm; 0.23, 1.18 mm), and was associated with larger self-served food portions (5.03 kcal; 0.47, 9.60 kcal), faster eating rates (0.40 g/min; 0.21, 0.59 g/min), and larger lunch intakes (7.05 kcal; 3.37, 10.74 kcal). Importantly, the association between composite risk score and adiposity was moderated by eating behaviors. The composite risk score was unrelated to SSF in children who selected smaller food portions, ate slower, and consumed less energy, but was positively associated with SSF among children who selected larger food portions, ate faster, and consumed more energy (eating behavior × risk score interactions: P < 0.05).

CONCLUSIONS

The association between risk factors in the first 1000 d and adiposity at 6 y varies by eating behaviors, highlighting modifiable behavioral targets for interventions.This trial was registered at clinicaltrials.gov as NCT01174875.

Relationship between different levels of the Mexican food environment and dietary intake: a qualitative systematic review

Objective:

To investigate the possible associations between the food environment and dietary intake in the Mexican population.

Design:

Four databases (PubMed, PsychInfo, Web of Science and SCIelo) were used to retrieve relevant articles using an open timeframe. Articles were reviewed if they contained a systematic measure (i.e. food checklist) of the food environment (e.g. food availability) and dietary intake.

Setting:

Urban and rural communities in Mexico.

Participants:

Population-based studies of Mexican communities.

Results:

Twenty studies that assessed at least one food environment level, and at least one dietary outcome, were reviewed. Findings from these studies showed that changes in the Mexican food environment seem to be associated with higher availability of energy-dense foods. Energy-dense foods can be linked to a high consumption in household, environment and community food environments. When both nutrient-dense and energy-dense foods were present, individuals were more likely to consume foods with added sugars, fats and salt options than nutrient-dense items.

Conclusions:

The various levels of the food environment (i.e. household, school, community) exposed participants to energy-dense foods. Although nutrient-dense foods were present in all three levels, individuals were more likely to consume energy-dense food items. Not all three levels of the food environment are well represented in the urban and rural settings. Most studies on the community food environment were done in rural areas, whereas most studies on the school food environment were done in urban settings. Additional rigorously designed studies are needed to document the relationship between the food environment and dietary intake in the Mexican population.

Social Stratification, Diet Diversity and Malnutrition among Preschoolers: A Survey of Addis Ababa, Ethiopia

In Sub-Saharan Africa, being overweight in childhood is rapidly rising while stunting is still remaining at unacceptable levels. A key contributor to this double burden of malnutrition is dietary changes associated with nutrition transition. Although the importance of socio-economic drivers is known, there is limited knowledge about their stratification and relative importance to diet and to different forms of malnutrition. The aim of this study was to assess diet diversity and malnutrition in preschoolers and evaluate the relative importance of socioeconomic resources. Households with children under five (5467) were enrolled using a multi-stage sampling procedure. Standardized tools and procedures were used to collect data on diet, anthropometry and socio-economic factors. Multivariable analysis with cluster adjustment was performed. The prevalence of stunting was 19.6% (18.5-20.6), wasting 3.2% (2.8-3.7), and overweight/obesity 11.4% (10.6-12.2). Stunting, overweight, wasting and limited diet diversity was present in all social strata. Low maternal education was associated with an increased risk of stunting (Adjusted odds ratio (AOR): 1.8; 1.4-2.2), limited diet diversity (AOR: 0.33; 0.26-0.42) and reduced odds of being overweight (AOR: 0.61; 0.44-0.84). Preschoolers in Addis Ababa have limited quality diets and suffer from both under- and over-nutrition. Maternal education was an important explanatory factor for stunting and being overweight. Interventions that promote diet quality for the undernourished whilst also addressing the burgeoning problem of being overweight are needed.

Are changes in depressive symptoms, general health and residential area socio-economic status associated with trajectories of waist circumference and body mass index?

Objective

This study sought to assess whether changes in depressive symptoms, general health, and area-level socio-economic status (SES) were associated to changes over time in waist circumference and body mass index (BMI).

Methods

A total of 2871 adults (18 years or older), living in Adelaide (South Australia), were observed across three waves of data collection spanning ten years, with clinical measures of waist circumference, height and weight. Participants completed the Centre for Epidemiologic Studies Depression (CES-D) and Short Form 36 health questionnaires (SF-36 general health domain). An area-level SES measure, relative location factor, was derived from hedonic regression models using residential property features but blind to location. Growth curve models with latent variables were fitted to data.

Results

Waist circumference, BMI and depressive symptoms increased over time. General health and relative location factor decreased. Worsening general health and depressive symptoms predicted worsening waist circumference and BMI trajectories in covariate-adjusted models. Diminishing relative location factor was negatively associated with waist circumference and BMI trajectories in unadjusted models only.

Conclusions

Worsening depressive symptoms and general health predict increasing adiposity and suggest the development of unhealthful adiposity might be prevented by attention to negative changes in mental health and overall general health.

Obesity and the Built Environment: A Reappraisal

The built environment (BE) has been viewed as an important determinant of health. Numerous studies have linked BE exposure, captured using a variety of methods, to diet quality and to area prevalence of obesity, diabetes, and cardiovascular disease. First-generation studies defined the neighborhood BE as the area around the home. Second-generation studies turned from home-centric to person-centric BE measures, capturing an individual's movements in space and time. Those studies made effective uses of global positioning system tracking devices and mobile phones, sometimes coupled with accelerometers and remote sensors. Activity space metrics explored travel paths, modes, and destinations to assess BE exposure that was both person and context specific. However, as measures of the contextual exposome have become ever more fine-grained and increasingly complex, connections to long-term chronic diseases with complex etiologies, such as obesity, are in danger of being lost. Furthermore, few studies on obesity and the BE have included intermediate energy balance behaviors, such as diet and physical activity, or explored the potential roles of social interactions or psychosocial pathways. Emerging survey-based applications that identify habitual destinations and associated travel patterns may become the third generation of tools to capture health-relevant BE exposures in the long term.

Relationship between psychological stress and metabolism in morbidly obese individuals

BACKGROUND

Despite evidence for a bidirectional relationship between obesity and stress-related mental disorders, the general relationship between psychological stress and metabolism is still controversial. Only few studies have addressed this relationship in morbidly obese individuals.

METHODS

The present study investigated the relationship between psychological distress, health-related quality of life (HRQL), eating behavior, negative emotions and body mass index (BMI), body composition and biomedical parameters of metabolism in an adult sample of 123 (94 females) morbidly obese individuals.

RESULTS

No significant relationship was found between psychological distress and BMI, body composition or any of the parameters of metabolism; however, there was a strong and robust association between HRQL in the physical domain and BMI, body composition and several biomedical parameters of sugar and fat metabolism. The results also showed an interesting dissociation in the relationship between BMI and HRQL in the physical and psychology domains. Only little evidence was found for a relationship between eating behavior (e.g. restraint) or negative emotions (e.g. anger) and BMI, body composition and parameters of metabolism. There was, however, a significant gender difference in restraint eating. Other commonly reported gender differences in BMI, body composition, fat metabolism and liver values were also observed in this sample of morbidly obese individuals.

CONCLUSION

Results from the present study highlight the relationship between HRQL in the physical domain and metabolism. Implications of these findings for weight loss treatment are discussed, emphasizing HRQL as an important treatment goal and the need for long-term psychological monitoring.

Four decades of socio-economic inequality and secular change in the physical growth of Guatemalans

Objective:

To investigate changes in socio-economic inequalities in growth in height, weight, BMI and grip strength in children born during 1955–1993 in Guatemala, a period of marked socio-economic-political change.

Design:

We modelled longitudinal data on height, weight, BMI and hand grip strength using Super-Imposition by Translation and Rotation (SITAR). Internal Z-scores summarising growth size, timing and intensity (peak growth velocity, e.g. cm/year) were created to investigate inequalities by socio-economic position (SEP; measured by school attended). Interactions of SEP with date of birth were investigated to capture secular changes in inequalities.

Setting:

Urban and peri-urban schools in the region of Guatemala City, Guatemala.

Participants:

Participants were 40 484 children and adolescents aged 3–19 years of Ladino and Maya ancestry (n_observations 157 067).

Results:

The difference in height (SITAR size) between lowest and highest SEP decreased from −2·0 (95 % CI −2·2, −1·9) sd to −1·4 (95 % CI −1·5, −1·3) sd in males, and from −2·0 (95 % CI −2·1, −1·9) sd to −1·2 (95 % CI −1·3, −1·2) sd in females over the study period. Inequalities also reduced for weight, BMI and grip strength, due to greater secular increases in lowest-SEP groups. The puberty period was earlier and shorter in higher-SEP individuals (earlier SITAR timing and higher SITAR intensity). All SEP groups showed increases in BMI intensity over time.

Conclusions:

Inequality narrowed between the 1960s and 1990s. The lowest-SEP groups were still >1 sd shorter than the highest. Risks remain for reduced human capital and poorer population health for urban Guatemalans.

Regional and Social Disparities for Obesity among Austrian Adults: Representative Long-term Trends from 1973-2014

STUDY AIM

To present regional long-term trends for the prevalence of obesity (BMI ≥ 30 kg/m²) among Austrian adults in Western, Central and Eastern Austria. Furthermore, the educational inequality regarding obesity was analysed in these regions in Austria for the investigation period.

METHODS

Self-reported data from six nationally representative, cross-sectional surveys (n=194,030) conducted between 1973 and 2014 were analysed. Absolute changes (AC) and Etiologic fractions (EF) were calculated to measure trends. The extent of social inequality was presented by the relative index of inequality (RII) based on the educational level.

RESULTS

Since 1973, a clear east to west gradient for obesity among adults in Austria has been observed. In 2014, the age-standardized prevalence was highest among Eastern Austrian adults (women: 16.9%; men: 18.2%). A constant increase in obesity among men has been visible since 1983. Since 2007, the values for women have stabilized, while the prevalence of obesity among female Austrians in Western and Central Austria decreased. Considering the AC for the prevalence of obesity from 1983 on, the highest increase was found among women (+2.60%) and men (+1.56%) in Eastern Austria. The outcomes regarding social inequality are instable on a regional level, with the highest RII observed in 2014 for Central Austria.

CONCLUSION

These study findings reveal significant regional differences in the prevalence of obesity in Austria and confirm the existence of an current east-west gradient in Austria for obesity. Considering the latest trends, especially men represent a risk group for obesity in the 3 regions.

Long-term trends (1973-14) for obesity and educational inequalities among Austrian adults: men in the fast lane

BACKGROUND

The examination of obesity trends is important to plan public health interventions specific to target-groups. We investigated long-term trends of obesity for the Austrian adult population between 1973 and 2014 according to their sex, age and education and the magnitude of educational-inequalities.

METHODS

Data were derived from six national, representative, cross-sectional interview surveys (N = 194 030). Data correction factors for self-reported body mass index (BMI) were applied. Obesity was defined as BMI ≥ 30 kg/m2. Absolute changes (ACs) and aetiologic fractions (AFs) were calculated to identify trends in the obesity prevalence. To measure the extent of social inequality, the relative index of inequality was computed based on educational levels.

RESULTS

In 2014, the age-adjusted prevalence of obesity was 14.6% (95%CI: 14.0-15.3) for women and 16.8% (95%CI: 16.1-17.9) for men. Obesity was most prevalent among subjects aged 55-74 years and those with low educational status. The AC in the obesity prevalence during the study period was highest for men aged 75 years and older with high/middle educational levels (16.2%) and also high for subjects aged 55 years and older with low educational levels. The greatest dynamics for obesity were observed among the oldest men with high/middle educational levels. Educational inequalities for obesity were higher among women, but only increased among men.

CONCLUSIONS

Since 1973, the prevalence for obesity was observed to be higher for men than women in Austria for the first time. Men showed the greatest increase in prevalence and risk for obesity during the study period. Further studies are needed to determine the drivers behind these trends.

Sociodemographic, socioeconomic, clinical and behavioural predictors of body mass index vary by sex in rural South African adults-findings from the AWI-Gen study

Background: Despite increasing obesity in South African adults, data on the prevalence and determinants of body mass index (BMI) from rural communities, home to a significant proportion of the population, are scarce.

Objectives: To investigate overall and sex-specific determinants of BMI in a rural adult South African population undergoing rapid social and epidemiological transitions.

Methods: Baseline cross-sectional demographic, socioeconomic, anthropometric, clinical and behavioural data were collected between 2015 and 2016 from 1388 individuals aged 40–60 years and resident in the Agincourt sub-district of Mpumalanga province, a setting typical of rural northeast South Africa. A Health and Socio-Demographic Surveillance System (HDSS) underpins the sub-district and contributes to the Africa Wits-INDEPTH partnership for Genomic Studies (AWI-Gen). Linear regression was used to investigate univariate associations between log-transformed BMI and individual variables and multiple linear regression was used to investigate independent predictors of BMI overall and in sex-stratified analyses.

Results: Median BMI was significantly higher in females (28.7 kg/m²[95% CI 24.2–33.2] vs 23.0 kg/m²[95% CI 20.3–26.8];p < 0.001) with male sex associated with 17% lower BMI. In sex-stratified multiple linear regression models, compared to those never married, BMI was 7% higher in currently married males and 6% in currently married females. Current smoking in men and former smoking in women were associated with reductions in BMI of 13% and 26% respectively, compared with non-smokers. Higher educational attainment in women and higher socioeconomic status in men were both associated with higher BMI, while being HIV-positive and alcohol consumption in women were associated lower BMI.

Conclusions: Female sex strongly predicts higher BMI in this rural African population. While some predictors of higher BMI differ by sex, married individuals in both sexes had a higher BMI, suggesting that, in addition to developing sex-specific interventions to combat overweight and obesity, targeting married couples may result in reduction in population BMI.

El problema de la obesidad en tiempos de capitalismo tardío: de la economía neoliberal a las políticas públicas colaborativas basadas en el “buen vivir”

Resumen Estudiamos el problema de la obesidad a partir de la teoría crítica actual, que analiza el problema planteado desde el capitalismo tardío como su causante. Se utiliza una perspectiva crítica que se enmarca en los estudios hegelianos, concretamente en uno de sus libros centrales, La ciencia de la lógica, pues en él “lo inmediato” nos permite visualizar cómo opera la ideología actual subjetivando al ser humano y cómo “lo inmediato” es uno de los principios que dominan el capitalismo desde el cual analizamos el tema. Las lógicas capitalistas son una realidad que crean un modelo social, político y cultural en el que el ser humano queda atrapado, asumiendo la postura productiva y alimenticia de este sistema que nos lanza a la consecución de altos niveles de producción y una política alimenticia basada en el beneficio empresarial y el consumo por encima de la ética del cuidado. Finalizamos proponiendo la construcción de políticas públicas centradas en lo que desde Latinoamérica se ha denominado “buen vivir”.

The Moving to Health (M2H) approach to natural experiment research: A paradigm shift for studies on built environment and health

Improving the built environment (BE) is viewed as one strategy to improve community diets and health. The present goal is to review the literature on the effects of BE on health, highlight its limitations, and explore the growing use of natural experiments in BE research, such as the advent of new supermarkets, revitalized parks, or new transportation systems. Based on recent studies on movers, a paradigm shift in built-environment health research may be imminent. Following the classic Moving to Opportunity study in the US, the present Moving to Health (M2H) strategy takes advantage of the fact that changing residential location can entail overnight changes in multiple BE variables. The necessary conditions for applying the M2H strategy to Geographic Information Systems (GIS) databases and to large longitudinal cohorts are outlined below. Also outlined are significant limitations of this approach, including the use of electronic medical records in lieu of survey data. The key research question is whether documented changes in BE exposure can be linked to changes in health outcomes in a causal manner. The use of geo-localized clinical information from regional health care systems should permit new insights into the social and environmental determinants of health.

Assessing Support for Advantaged and Disadvantaged Groups: A Comparison of Urban Food Environments

Individuals from lower-socio-economic status (SES) communities have increased risk of developing obesity in developed countries such as Australia. Given the influence of the environment on dietary behaviour, this paper seeks to examine food environments in areas of differing social advantage. An established measurement tool (the NEMS-Nutrition Environment Measurement Survey), that captures aspects of support for healthy eating within restaurants (NEMS-R) and grocery/convenience stores (NEMS-S), was applied to both a high-SES and a low-SES suburb within Brisbane, Australia. The study found a significantly more supportive restaurant food environment in the high-SES suburb, with greater access to and availability of healthful foods, as well as facilitators for, reduced barriers to, and substantially more nutrition information for healthful eating. A higher number of outlets were found in the high-SES suburb, and later opening times were also observed. Overall, the results from stores (NEMS-S) suggest poor support for healthful eating across both suburbs. This study highlights how food environments in low-SES regions continue to be less supportive of healthful eating. Public health strategies must move beyond individual-focused strategies to ensure that our most disadvantaged, low-SES communities have an equal opportunity to access healthful foods.

Spatial Association of Food Sales in Supermarkets with the Mean BMI of Young Men: An Ecological Study

Supermarket food sales data might serve as a simple indicator of population-level dietary habits that influence the prevalence of excess weight in local environments. To test this possibility, we investigated how variation in store-level food sales composition across Switzerland is associated with the mean Body Mass Index (BMI) of young men (Swiss Army conscripts) living near the stores. We obtained data on annual food sales (2011) for 553 stores from the largest supermarket chain in Switzerland, identified foods commonly regarded as “healthy” or “unhealthy” based on nutrient content, and determined their contribution to each store’s total sales (Swiss francs). We found that the sales percentages of both “healthy” and “unhealthy” food types varied by 2- to 3-fold among stores. Their balance ranged from −15.3% to 18.0% of total sales; it was positively associated with area-based socioeconomic position (r = 0.63) and negatively associated with the mean BMI of young men in the area (r = −0.42). Thus, even though we compared supermarkets from a single chain, different shopping behaviors of customers caused stores in privileged areas to sell relatively more healthy food. Knowledge about such patterns could help in designing in-store interventions for healthier nutrition and monitoring their effects over time.

Understanding the Dietary Habits of Black Men With Diabetes

Diabetes is highly prevalent in African American men. To provide nurse practitioners with practice strategies we explored African American men's perceived needs for dietary health and diabetes self-management using the Social Cognitive Theory. Twenty-five African American men participated in four focus groups. The data were analyzed using a combination of inductive/deductive content analysis approach. Focus group analysis identified personal, behavioral and environmental barriers to and facilitators for diabetes self-management. Nurse practitioners may need to provide extra emotional support in the absence of informal social support from families for diabetes self-management and dietary health in African American men with diabetes.

Depression and obesity, data from a national administrative database study: Geographic evidence for an epidemiological overlap

Background

Depression and obesity are two major conditions with both psychological and somatic burdens. Some data suggest strong connections between depression and obesity and more particularly associated prevalence of both disorders. However, little is known about the geographical distribution of these two diseases. This study aimed to determine if there is spatial overlap between obesity and depression using data from the entire French territory.

Methods

Data for 5,627 geographic codes for metropolitan France were collected from the two national hospital databases (PMSI-MCO and RIM-P) for the year 2016. We identified people who were depressed, obese or both registered in the two public medico-administrative databases, and we assessed their location. In addition, a multivariable analysis was performed in order to determine geographic interactions between obesity and depression after controlling for age, sex, environmental and socio-economic factors (social/material deprivation, urbanicity/rurality).

Results

1,045,682 people aged 18 years and older were identified. The mapping analysis showed several cold and hot regional clusters of coinciding obesity and depression. The multivariable analysis demonstrated significant geographic interactions, with an increasing probability of finding a high prevalence of obesity in regions with major depression (OR 1.29 95% CI 1.13–1.49, p = 0.0002) and an increased probability of finding a high prevalence of depression in regions with a high ration of obesity (OR 1.32, 95% CI 1.15–1.52, p<0.0001).

Conclusion

Our study confirms the significant bidirectional relationships between obesity and depression at a group level. French geographic patterns reveal a partial overlap between obesity and depression, suggesting these two diseases can be included in a common approach. Further studies should be done to increase the understanding of this complex comorbidity.

Food Insecurity is Associated with Maladaptive Eating Behaviors and Objectively Measured Overeating

OBJECTIVE

The association between food insecurity and obesity may be partially explained by overeating in response to unpredictable food availability cycles. The aim of this study was to measure objective food intake in food-insecure individuals.

METHODS

Eighty-two volunteers (53 m; BMI 29 ± 7; 38 ± 12 years) were admitted to our inpatient Clinical Research Unit and completed the Food Security Short Form, Three-Factor Eating Questionnaire, Gormally Binge Eating Scale, and body composition assessment (dual-energy x-ray absorptiometry). After 5 days of a weight-maintaining diet, participants self-selected food from an ad libitum vending machine paradigm for 3 days. Mean daily intake (kilocalories), macronutrient intake, and percentage of weight-maintaining energy needs (%WMEN) were calculated.

RESULTS

Based on Food Security Short Form cutoffs, food-insecure participants (n = 46; 56%) had higher body weight (P = 0.04), fat-free mass (P = 0.05), disinhibition (P = 0.008), hunger (P = 0.02), and binge-eating scores (P = 0.02) but not cognitive restraint (P = 0.37) compared with food-secure individuals. They overate more kilocalories (P = 0.001), %WMEN (P = 0.003), fat (P = 0.003), and carbohydrates (P = 0.004) during the vending machine paradigm, continued to increase their hourly rate of kilocalories (group × time; β = 37.7 cumulative kcal/h; P < 0.0001), and ate more total kilocalories across the 72 hours (β = 47.09 kcal/h; P = 0.003).

CONCLUSIONS

Food insecurity may amplify susceptibility to weight gain via overeating during times of unlimited food access.

Association between family dinner and BMI in adults: data from the 2013 to 2015 Korean National Health and Nutrition Examination Survey

Objective

People who eat alone, which is becoming a new trend owing to the increasing proportion of one-person households in Korea, are more likely to become overweight and obese. Therefore, we investigated the association between having a dinner companion and BMI.

Design

A linear regression model adjusted for covariates was utilized to examine the association between having a dinner companion and BMI. Subgroup analyses were performed, stratified by age group, gender, household income, educational level and occupation.

Setting

We used the data from the Korean Health and Nutrition Examination Survey VI. Our primary independent variable was having a dinner companion while the dependent variable was BMI.

Subjects

In total, 13303 individuals, aged 20 years or over, were analysed.

Results

Compared with the solo eating group, BMI was lower in the family dinner group (β=−0·39, P<0·01) but not in the non-family dinner group (β=−0·06, P=0·67). The subgroup analysis revealed that the difference in BMI was most significant in young generations, such as those aged 20–29 years (β=−1·15, P<0·01) and 30–39 years (β=−0·78, P=0·01).

Conclusions

We found that people who eat dinner alone are more likely to become overweight and obese than those who eat with their family. This association was stronger in males and young adults than their counterparts. Considering the increasing trends in the proportion of single-person households and solo eating, appropriate intervention is needed.

Geographic Association Between Income Inequality and Obesity Among Adults in New York State

Introduction

In addition to economic factors and geographic area poverty, area income inequality — the extent to which income is distributed in an uneven manner across a population — has been found to influence health outcomes and obesity. We used a spatial-based approach to describe interactions between neighboring areas with the objective of generating new insights into the relationships between county-level income inequality, poverty, and obesity prevalence across New York State (NYS).

Methods

We used data from the 2015 American Community Survey and 2013 obesity estimates from the Centers for Disease Control and Prevention for NYS to examine correlations between county-level economic factors and obesity. Spatial mapping and analysis were conducted with ArcMap. Ordinary least squares modeling with adjusting variables was used to examine associations between county-level obesity percentages and county-level income inequality (Gini index). Univariate spatial analysis was conducted between obesity and Gini index, and globally weighted regression and Hot Spot Analysis were used to view spatial clustering.

Results

Although higher income inequality was associated with lower obesity rates, a higher percentage of poverty was associated with higher obesity rates. A higher percentage of Hispanic population was associated with lower obesity rates. When tested spatially, higher income inequality was associated with a greater decrease in obesity in southern and eastern NYS counties than in the northern and western counties, with some differences by sex present in this association.

Conclusion

Increased income inequality and lower poverty percentage were significantly linked to lower obesity rates across NYS counties for men. Income inequality influence differed by geographic location. These findings indicate that in areas with high income inequality, currently unknown aspects of the environment may benefit low-income residents. Future studies should also include environmental factors possibly linked to obesity.

Food Acquisition and Shopping Patterns among Residents of Low-Income and Low-Access Communities in South Carolina

BACKGROUND

Little is known about the food acquisition and shopping habits of residents living in food deserts.

OBJECTIVE

To identify distinct food acquisition and shopping patterns among residents, most of whom (81%) live in food desert (low income and low access) census tracts, and characterize these patterns with respect to the residents' socioeconomic status, nutrition knowledge, and perceptions of their food environment.

DESIGN

This is a cross-sectional study.

PARTICIPANTS/SETTING

Four hundred sixty-six primary food shoppers were included from two counties in South Carolina during 2013-2014.

MAIN OUTCOME MEASURES

Participants' self-reported food acquisition and shopping habits, including shopping distance; frequency; store type; transportation mode; use of farmers' markets, food banks/pantries, and church/social service organizations, were used to develop shopping patterns and group residents. Supplemental Nutrition Assistance Program participation, food security, income, and education, nutrition knowledge, and perceptions of the food environment were used to characterize these groups.

STATISTICAL ANALYSES PERFORMED

Latent class analysis and multinomial logistic regression were used to identify and characterize patterns, respectively.

RESULTS

Three patterns were identified, including those who use community food resources, are infrequent grocery shoppers, and use someone else's car or public transportation when shopping (Class 1) (35%), those who use community food resources and are more frequent and proximal shoppers (Class 2) (41%), and those who do not use community food resources and are distal shoppers (Class 3) (24%). Compared with Class 3, Class 1 had comparatively lower socioeconomic status. Class 2 also had comparatively lower socioeconomic attributes except for income. Class 2 was not significantly different from Class 1 except that a higher proportion in Class 1 saw food access as a problem. No significant differences across classes were found regarding fruit and vegetable recommendation knowledge.

CONCLUSIONS

Shopping frequency, use of community food resources, transportation methods, and shopping distance were the key factors that defined distinct patterns among residents living in low-income areas. Future interventions to increase healthy food access in underserved areas should not only consider accessibility but also community food resource use.