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      Area deprivation and the prevalence of type 2 diabetes and obesity: analysis at the municipality level in Germany

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          Abstract

          Background

          The objective of this study was to analyse the association between area deprivation at municipality level and the prevalence of type 2 diabetes (T2D) and obesity across Germany, controlling for individual socioeconomic status (SES).

          Methods

          The analyses are based on a large survey conducted in 2006. Information was included from 39,908 adults aged 20 years or above. Area deprivation was assessed using the German Index of Multiple Deprivation (GIMD) at municipality level. About 4,700 municipalities could be included and assigned to a deprivation quintile. Individual SES was assessed by income and educational level. Multilevel logistic models were used to control for individual SES and other potential confounders such as age, sex and physical activity.

          Results

          We found a positive association of area deprivation with T2D and obesity. Controlling for all individual-level variables, the odds ratios for municipalities in the most deprived quintile were significantly increased for T2D (OR 1.35; 95% CI 1.12–1.64) as well as for obesity (OR 1.14; 95% CI 1.02–1.26). Further analyses showed that these associations were relatively similar for both men and women.

          Conclusions

          Based on a nationwide dataset, we were able to show that area deprivation at municipality level is significantly associated with the prevalence of T2D and obesity. It will be important to focus preventive efforts on very deprived municipalities.

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          Most cited references41

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          Survey non-response in the Netherlands: effects on prevalence estimates and associations.

          Differences in respondent characteristics may lead to bias in prevalence estimates and bias in associations. Both forms of non-response bias are investigated in a study on psychosocial factors and cancer risk, which is a sub-study of a large-scale monitoring survey in the Netherlands. Respondents of a cross-sectional monitoring project (MORGEN; N = 22,769) were also asked to participate in a prospective study on psychosocial factors and cancer risk (HLEQ; N = 12,097). To investigate diverse aspects of non-response in the HLEQ on prevalence estimates and associations are studied, based on information gathered in the MORGEN-project. A response percentage of 45% was obtained in the MORGEN-project. Response rates were found to be lower among men and younger people. The HLEQ showed a response percentage of 56%, and respondents reported higher socioeconomic status, better subjective health and healthier lifestyle behaviors than non-respondents. However, associations between smoking status and either socioeconomic status or subjective health based on respondents only were not statistically different from those based on the entire MORGEN-population. Non-response leads to bias in prevalence estimates of current smoking, current alcohol intake, and low physical activity or poor subjective health. However, non-response did not cause bias in the examined associations.
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            Diabetes prevalence and socioeconomic status: a population based study showing increased prevalence of type 2 diabetes mellitus in deprived areas.

            To establish the relation between socioeconomic status and the age-sex specific prevalence of type 1 and type 2 diabetes mellitus. The hypothesis was that prevalence of type 2 diabetes would be inversely related to socioeconomic status but there would be no association with the prevalence of type 1 diabetes and socioeconomic status. Middlesbrough and East Cleveland, United Kingdom, district population 287,157. 4313 persons with diabetes identified from primary care and hospital records. The overall age adjusted prevalence was 15.60 per 1000 population. There was a significant trend between the prevalence of type 2 diabetes and quintile of deprivation score in men and women (chi 2 for linear trend, p < 0.001). In men the prevalence in the least deprived quintile was 13.4 per 1000 (95% confidence intervals (95% CI) 11.44, 15.36) compared with 17.22 per 1000 (95% CI 15.51, 18.92) in the most deprived. For women the prevalence was 10.84 per 1000 (95% CI 9.00, 12.69) compared with 15.48 per 1000 (95% CI 13.84, 17.11) in the most deprived. The increased prevalence of diabetes in the most deprived areas was accounted for by increased prevalence of type 2 diabetes in the age band 40-69 years. There was no association between the prevalence of type 1 diabetes and socioeconomic status. These data confirm an inverse association between socioeconomic status and the prevalence of type 2 diabetes in the middle years of life. This finding suggests that exposure to factors that are implicated in the causation of diabetes is more common in deprived areas.
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              Neighborhood resources for physical activity and healthy foods and incidence of type 2 diabetes mellitus: the Multi-Ethnic study of Atherosclerosis.

              Despite increasing interest in the extent to which features of residential environments contribute to incidence of type 2 diabetes mellitus, no multisite prospective studies have investigated this question. We hypothesized that neighborhood resources supporting physical activity and healthy diets are associated with a lower incidence of type 2 diabetes. Person-level data came from 3 sites of the Multi-Ethnic Study of Atherosclerosis, a population-based, prospective study of adults aged 45 to 84 years at baseline. Neighborhood data were derived from a population-based residential survey. Type 2 diabetes was defined as a fasting glucose level of 126 mg/dL or higher (> or =7 mmol/L) or taking insulin or oral hypoglycemic agents. We estimated the hazard ratio of type 2 diabetes incidence associated with neighborhood (US Census tract) resources. Among 2285 participants, 233 new type 2 diabetes cases occurred during a median of 5 follow-up years. Better neighborhood resources, determined by a combined score for physical activity and healthy foods, were associated with a 38% lower incidence of type 2 diabetes (hazard ratio corresponding to a difference between the 90th and 10th percentiles for resource distribution, 0.62; 95% confidence interval, 0.43-0.88 adjusted for age, sex, family history of diabetes, race/ethnicity, income, assets, educational level, alcohol use, and smoking status). The association remained statistically significant after further adjustment for individual dietary factors, physical activity level, and body mass index. Better neighborhood resources were associated with lower incidence of type 2 diabetes, which suggests that improving environmental features may be a viable population-level strategy for addressing this disease.
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                Author and article information

                Contributors
                nina.grundmann@lgl.bayern.de
                mielck@helmholtz-muenchen.de
                martin.siegel@tu-berlin.de
                werner.maier@helmholtz-muenchen.de
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                13 December 2014
                2014
                : 14
                : 1
                : 1264
                Affiliations
                [ ]Helmholtz Zentrum München – German Research Center for Environmental Health (GmbH), Institute of Health Economics and Health Care Management, Neuherberg, Germany
                [ ]Bavarian Health and Food Safety Authority, Erlangen, Germany
                [ ]Berlin Centre of Health Economics Research (BerlinHECOR), Department of Health Care Management, Technische Universität Berlin, Berlin, Germany
                Article
                7449
                10.1186/1471-2458-14-1264
                4301883
                25495106
                616f90f0-e4ab-4d0c-aa7d-ff4dc2b1e786
                © Grundmann et al.; licensee BioMed Central. 2014

                This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 26 August 2014
                : 4 December 2014
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2014

                Public health
                area deprivation,type 2 diabetes,obesity,social inequalities,municipalities,germany
                Public health
                area deprivation, type 2 diabetes, obesity, social inequalities, municipalities, germany

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