Diet-related chronic disease in the northeastern United States: a model-based clustering approach

Background: Obesity and diabetes are global public health concerns. Studies indicate a relationship between socioeconomic, demographic and environmental variables and the spatial patterns of diet-related chronic disease. In this paper, we propose a methodology using model-based clustering and variable selection to predict rates of obesity and diabetes. We test this method through an application in the northeastern United States. Methods: We use model-based clustering, an unsupervised learning approach, to find latent clusters of similar US counties based on a set of socioeconomic, demographic, and environmental variables chosen through the process of variable selection. We then use Analysis of Variance and Post-hoc Tukey comparisons to examine differences in rates of obesity and diabetes for the clusters from the resulting clustering solution. Results: We find access to supermarkets, median household income, population density and socioeconomic status to be important in clustering the counties of two northeastern states. The results of the cluster analysis can be used to identify two sets of counties with significantly lower rates of diet-related chronic disease than those observed in the other identified clusters. These relatively healthy clusters are distinguished by the large central and large fringe metropolitan areas contained in their component counties. However, the relationship of socio-demographic factors and diet-related chronic disease is more complicated than previous research would suggest. Additionally, we find evidence of low food access in two clusters of counties adjacent to large central and fringe metropolitan areas. While food access has previously been seen as a problem of inner-city or remote rural areas, this study offers preliminary evidence of declining food access in suburban areas. Conclusions: Model-based clustering with variable selection offers a new approach to the analysis of socioeconomic, demographic, and environmental data for diet-related chronic disease prediction. In a test application to two northeastern states, this method allows us to identify two sets of metropolitan counties with significantly lower diet-related chronic disease rates than those observed in most rural and suburban areas. Our method could be applied to larger geographic areas or other countries with comparable data sets, offering a promising method for researchers interested in the global increase in diet-related chronic disease

A cross-sectional study of US rural adults’ consumption of fruits and vegetables: do they consume at least five servings daily?

<p>Abstract</p> <p>Background</p> <p>Rural residents are increasingly identified as being at greater risk for health disparities. These inequities may be related to health behaviors such as adequate fruits and vegetable consumption. There is little national-level population-based research about the prevalence of fruit and vegetable consumption by US rural population adults. The objective of this study was to examine the prevalence differences between US rural and non-rural adults in consuming at least five daily servings of combined fruits and vegetables.</p> <p>Methods</p> <p>Cross-sectional analysis of weighted 2009 Behavioral Risk Factor Surveillance Survey (BRFSS) data using bivariate and multivariate techniques. 52,259,789 US adults were identified as consuming at least five daily servings of fruits and vegetables of which 8,983,840 were identified as living in rural locales.</p> <p>Results</p> <p>Bivariate analysis revealed that in comparison to non-rural US adults, rural adults were less likely to consume five or more daily servings of fruits and vegetables (OR = 1.161, 95% CI 1.160-1.162). Logistic regression analysis revealed that US rural adults consuming at least five daily servings of fruits and vegetables were more likely to be female, non-Caucasian, married or living with a partner, living in a household without children, living in a household whose annual income was > $35,000, and getting at least moderate physical activity. They were also more likely to have a BMI of <30, have a personal physician, have had a routine medical exam in the past 12 months, self-defined their health as good to excellent and to have deferred medical care because of cost. When comparing the prevalence differences between rural and non-rural US adults within a state, 37 States had a lower prevalence of rural adults consuming at least five daily servings of fruits and vegetables and 11 States a higher prevalence of the same.</p> <p>Conclusions</p> <p>This enhanced understanding of fruit and vegetable consumption should prove useful to those seeking to lessen the disparity or inequity between rural and non-rural adults. Additionally, those responsible for health-related planning could benefit from the knowledge of how their state ranks in comparison to others vis-à-vis the consumption of fruits and vegetables by rural adults---a population increasingly being identified as one at risk for health disparities.</p

Food consumed outside the home in Brazil according to places of purchase

ABSTRACT OBJECTIVE This study aims to describe the places of purchase of food consumed outside the home, characterize consumers according to the places of consumption, and identify the food purchased by place of consumption in Brazil. METHODS We have used data from the Pesquisa de Orçamento Familiar (Household Budget Survey) of 2008-2009 with a sample of 152,895 subjects over 10 years of age. The purchase of food outside the home was collected from the records of all expenditures made in seven days. The places of purchase were grouped according to their characteristics: supermarket, bakery, street food, restaurant, snack bar, fruit shop, and other places. The types of food were grouped into nine categories, considering the nutritional aspects and the marketing characteristics of the item. We have estimated the frequency of purchase in the seven groups of places in Brazil and according to gender and type of food purchased per place. We have calculated the average age, income and years of education, as well as the per capita expenditure according to places of purchase of food consumed outside the home. RESULTS The purchase of food outside the home was reported by 41.2% of the subjects, being it greater among men than women (44% versus 38.5%). Adults had a higher frequency (46%) than teenagers (37.7%) and older adults (24.2%). The highest frequency of places of purchase were snack bar (16.9%) and restaurant (16.4%), while the fruit shop (1.2%) presented the lowest frequency. Sweets, snack chips and soft drinks were the most purchased items in most places. Average expenditure was higher for restaurant (R$33.20) and lower for fruit shop (R$4.10) and street food (R$5.00). CONCLUSIONS The highest percentage of food consumed outside the home comes from snack bars and restaurants, pointing to important places for the development of public policies focused on promoting healthy eating

Small-area variations in overweight and obesity in an urban area of Nigeria: The role of fast food outlets

Overweight and obesity are two related health issues of epidemic proportions. In Nigeria, these health conditions have been emerging only recently. The extant literature shows inter-city variations in the prevalence of overweight and obesity in Nigeria. However, they say little about intra-city variations of these health problems in Nigerian urban centres. Thus, the focus of the study was to determine the small-area variations in the prevalence of overweight and obesity in an urban area of Nigeria and its association with socio-economic, environmental, dietary and lifestyle risk factors. With the aid of a questionnaire, information on the demographic, socio-economic, lifestyle, household and neighbourhood characteristics of respondents was obtained from respondents. Overweight and obesity were computed based on the self-reported height and weight of respondents, using the Body Mass Index (BMI) formula. A simple linear regression model was estimated to determine the individual and collective effects of risk factors. Findings showed that there were noticeable spatial variations in the prevalence of overweight and obesity which result from the varying contextual and compositional characteristics among the political wards of the Ibadan North LGA. Physical proximity to fast food outlets was the only significant factor driving the spatial pattern of obesity (b = 0.645; R2 = 0.416). The paper suggests that government and health officials should formulate area-specific obesity prevention and control plans to curb this growing epidemic in Nigeria