How is neighborhood social disorganization associated with diabetes outcomes? A multilevel investigation of glycemic control and self-reported use of acute or emergency health care services.
Autor: | Kowitt SD; 1Peers for Progress and Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Rosenau Hall, CB #7440, Chapel Hill, NC 27599-7440 USA.; 2Department of Family Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 USA., Donahue KE; 2Department of Family Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 USA.; 3Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 USA., Fisher EB; 1Peers for Progress and Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Rosenau Hall, CB #7440, Chapel Hill, NC 27599-7440 USA., Mitchell M; 3Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 USA., Young LA; 4Division of Endocrinology & Metabolism, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 USA. |
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Jazyk: | angličtina |
Zdroj: | Clinical diabetes and endocrinology [Clin Diabetes Endocrinol] 2018 Oct 19; Vol. 4, pp. 19. Date of Electronic Publication: 2018 Oct 19 (Print Publication: 2018). |
DOI: | 10.1186/s40842-018-0069-0 |
Abstrakt: | Background: Diabetes management is influenced by a number of factors beyond the individual-level. This study examined how neighborhood social disorganization (i.e., neighborhoods characterized by high economic disadvantage, residential instability, and ethnic heterogeneity), is associated with diabetes-related outcomes. Methods: We used a multilevel modeling approach to investigate the associations between census-tract neighborhood social disorganization, A1c, and self-reported use of acute or emergency health care services for a sample of 424 adults with type 2 diabetes. Results: Individuals living in neighborhoods with high social disorganization had higher A1c values than individuals living in neighborhoods with medium social disorganization (B = 0.39, p = 0.01). Individuals living in neighborhoods with high economic disadvantage had higher self-reported use of acute or emergency health care services than individuals living in neighborhoods with medium economic disadvantage (B = 0.60, p = 0.02). Conclusions: High neighborhood social disorganization was associated with higher A1c values and high neighborhood economic disadvantage was associated with greater self-reported use of acute or emergency health care services. Controlling for individual level variables diminished this effect for A1c, but not acute or emergency health care use. Comprehensive approaches to diabetes management should include attention to neighborhood context. Failure to do so may help explain the continuing disproportionate diabetes burden in many neighborhoods despite decades of attention to individual-level clinical care and education. Trial Registration: For this study, we used baseline data from a larger study investigating the impacts on patient-centered outcomes of three different approaches to self-monitoring of blood glucose among 450 adults with non-insulin dependent type 2 diabetes living in North Carolina. This study was registered as a clinical trial on 1/7/2014 (https://clinicaltrials.gov/ct2/show/NCT02033499). Competing Interests: The University of North Carolina at Chapel Hill Institutional Review Board approved this study. All participants provided consent to participate.All participants provided consent for results to be published.The authors declare that they have no competing interests.Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
Databáze: | MEDLINE |
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