5 research outputs found

    The association between neighborhood economic hardship, the retail food environment, fast food intake, and obesity: findings from the Survey of the Health of Wisconsin

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    Background: Neighborhood-level characteristics such as economic hardship and the retail food environment are assumed to be correlated and to influence consumers' dietary behavior and health status, but few studies have investigated these different relationships comprehensively in a single study. This work aims to investigate the association between neighborhood-level economic hardship, the retail food environment, fast food consumption, and obesity prevalence. Methods: Linking data from the population-based Survey of the Health of Wisconsin (SHOW, n = 1,570, 2008-10) and a commercially available business database, the Wisconsin Retail Food Environment Index (WRFEI) was defined as the mean distance from each participating household to the three closest supermarkets divided by the mean distance to the three closest convenience stores or fast food restaurants. Based on US census data, neighborhood-level economic hardship was defined by the Economic Hardship Index (EHI). Relationships were analyzed using multivariate linear and logistic regression models. Results: SHOW residents living in neighborhoods with the highest economic hardship faced a less favorable retail food environment (WRFEI = 2.53) than residents from neighborhoods with the lowest economic hardship (WRFEI = 1.77; p-trend < 0.01). We found no consistent or significant associations between the WRFEI and obesity and only a weak borderline-significant association between access to fast food restaurants and self-reported fast food consumption (≥2 times/week, OR = 0.59-0.62, p = 0.05-0.09) in urban residents. Participants reporting higher frequency of fast food consumption (≥2 times vs. <2 times per week) were more likely to be obese (OR = 1.35, p = 0.06). Conclusion: This study indicates that neighborhood-level economic hardship is associated with an unfavorable retail food environment. However inconsistent or non-significant relationships between the retail food environment, fast food consumption, and obesity were observed. More research is needed to enhance methodological approaches to assess the retail food environment and to understand the complex relationship between neighborhood characteristics, health behaviors, and health outcomes

    Primary care practitioners survey of non-alcoholic fatty liver disease

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    Background. The rising incidence of non alcoholic fatty liver disease (NAFLD) mirrors the epidemics of obesity and metabolic syndrome. Primary care practitioners (PCPs) are central to management of patients with NAFLD, but data on knowledge and attitudes of PCPs towards NAFLD are lacking.Material and methods. We conducted a statewide, stratified survey of 250 PCPs to examine knowledge, practices and attitudes regarding NAFLD and the barriers to providing care for this condition.Results. NAFLD was perceived as an important health problem by 83% of PCPs. Eighty five percent of PCPs underestimated the population prevalence of NAFLD. Although the association of NAFLD with metabolic syndrome was identified by 91% of PCPs, only 46% screened diabetic obese patients for NAFLD. Only 27% of PCPs referred NAFLD patients to a hepatologist for evaluation. PCPs who reported seeing more than 5 NAFLD patients annually, referred to hepatology less frequently (P = 0.01). The majority of PCPs (58%) recommended weight loss and a calorie restriction. Only 8% of PCPs would recommend Vitamin E. The major perceived barrier in managing NAFLD was lack of confidence in understanding of the disease (58% of PCPs).Discussion. An overwhelming majority of PCPs perceived NAFLD as an important health issue in their practice. However, screening rates for NAFLD among obese diabetics were low. A major barrier to managing these patients was self-reported lack of knowledge about NAFLD. Development of guidelines should emphasize strategies for screening vulnerable populations (obese, diabetics), evidence based management and barriers to providing care
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