Small area variation in diabetes prevalence in Puerto Rico

Revista Panamericana de Salud Publica/Pan American Journal of Public Health

Volumn 33, Issue 6, 2013, Pages 398-406

  Tierney, Edward F ^a   Burrows, Nilka R ^a   Barker, Lawrence E ^a   Beckles, Gloria L ^a   Boyle, James P ^a   Cadwell, Betsy L ^a   Kirtland, Karen A ^a   Thompson, Theodore J ^a  

^a NATIONAL CENTER FOR CHRONIC DISEASE PREVENTION AND HEALTH PROMOTION   (United States)

Author keywords

Diabetes mellitus; Prevalence; Public policy; Puerto Rico

Indexed keywords

BAYESIAN ANALYSIS; DATA ACQUISITION; DIABETES; DISEASE PREVALENCE; ESTIMATION METHOD; GEOGRAPHICAL DISTRIBUTION; HEALTH RISK; POLICY MAKING;

PUERTO RICO;

ADULT; AGED; ARTICLE; CLUSTER ANALYSIS; DIABETES MELLITUS; FEMALE; HUMAN; MALE; MIDDLE AGED; PREVALENCE; PUERTO RICO; VERY ELDERLY; YOUNG ADULT;

ADULT; AGED; AGED, 80 AND OVER; DIABETES MELLITUS; FEMALE; HUMANS; MALE; MIDDLE AGED; PREVALENCE; PUERTO RICO; SMALL-AREA ANALYSIS; YOUNG ADULT;

EID: 84882362885     PISSN: 10204989     EISSN: 16805348     Source Type: Journal    
DOI: None     Document Type: Article

References (38)

1. United States Centers for Disease Control and Prevention. Diabetes report card 2012. Atlanta, Georgia: CDC, United States Department of Health and Human Services; 2012. Available from: http://www.cdc.gov/diabetes/pubs/pdf/ DiabetesReportCard.pdf Accessed 20 November 2012.
2. United States Centers for Disease Control and Prevention. National diabetes fact sheet: national estimates and general information on diabetes and prediabetes in the United States, 2011. Atlanta, Georgia: CDC, United States Department of Health and Human Services. Available from: http://www.cdc.gov/ diabetes/pubs/factsheet11.htm. Accessed 20 November 2012.
3. United States Centers for Disease Control and Prevention. National Diabetes Surveillance System. Atlanta, Georgia: CDC, United States Department of Health and Human Services; 2011. Available from: http://www.cdc.gov/diabetes/ surveillance/index.htm. Accessed 20 November 2012.
4. Cadwell BL, Thompson TJ, Boyle JP, Barker, LE, 2010. Bayesian small area estimates of diabetes prevalence by U.S. county, 2005. JDS. 2010;8:173-88.
5. United States Institute of Medicine, Committee for the Study of the Future of Public Health. The future of public health: summary and recommendations. Washington, D.C.: National Academy Press; 1988.
6. Levy PS, French DK. Synthetic estimation of state health characteristics based on the Health Interview Survey. Vital Health Stat 2. 1977;75:1-22. Available from: http://www.cdc.gov/nchs/data/series/sr-02/sr02-075.pdf. Accessed 20 November 2012.
7. Rao JNK. Small area estimation. Hoboken, New Jersey: Wiley Interscience; 2003.
8. Congdon P, Lloyd P. Estimating small area diabetes in the U.S. using the Behavioral Risk factor Surveillance system. JDS. 2010;8:235-252.
9. Srebotnjak T, Mokdad AH, Murray CJL. A novel framework for validating and applying standardized small area measurement strategies. Popul Health Metr. 2010;8:26.
10. United States Government. U.S. Census: age and sex composition: 2010-2010 census briefs. Available from: http://www.census.gov/prod/cen2010/briefs/ c2010br-03.pdf Accessed 20 November 2012.
11. United States Government. American community survey-briefs: poverty: 2008 and 2009. Available from: http://www.census.gov/prod/2010pubs/acsbr09-1.pdf. Accessed 20 November 2012.
12. Li C, Balluz LS, Okoro CA, Strein TW, Lin J-MS, Town M, et al. Surveillance of certain health behaviors and conditions among states and selected local areas-Behavioral Risk Factor Surveillance System (BRFSS), United States, 2009. MMWR. 2011;60(No. SS #9):23-194. (Tables: 4, 7, 22, 40, 43).
13. United States Department of Agricul-ture, Economic Research Service. Rural-urban continuum codes. Available from: http://www.ers.usda.gov/Data/ RuralUrban ContinuumCodes/. Accessed 20 November 2012.
14. American community survey, 2005-2009.5-year estimates. Available from: http://fact-finder.census.gov/servlet/DatasetMainPage Servlet?-program=ACS&- submenuId=datasets-1&-lang=en&-ts. Accessed 20 November 2012.
15. Gelfand AE, Ghosh SK. Model choice: A minimum posterior predictive loss approach. Biometrika. 1998;85(1):1-11.
16. Gelman A, Hill J. Data analysis using regression and multilevel/ hierarchial models. Cambridge, United Kingdom: Cambridge University Press; 2007.
17. Lunn DJ, Thomas A, Best N, Spiegelhalter D. WinBUGS-a Bayesian modelling framework: concepts, structure, and extensibility. Stat Comput. 2000;10(4):325-37.
18. Gelman A, Carlin JB, Stern HS, Rubin DB. Bayesian data analysis. Second ed. Washington, D.C.: Chapman & Hall; 2004.
19. Jenks GF, Caspall F. Errors on choroplethic maps: definition, measurement, reduction. Ann Assoc Am Geogr. 1971;61:217-44. Available from: http://www.tandfonline.com/doi/pdf/10.1111/j.1467-8306.1971.tb00779.x. Accessed 4 December 2012.
20. Kirtland KA, Li YF, Geiss LS, Thompson TJ. State-specific incidence of diabetes among adults-participating states, 1995-1997 and 2005-2007. MMWR. 2008;57(43):1169-73.
21. Haddock L, Torres de Conty I. Prevalence rates for diabetes mellitus in Puerto Rico. Diabetes Care. 1991;14:676-84.
22. Barcelo A, Rajpathak S. Incidence and prevalence of diabetes mellitus in the Americas. Rev Panam Salud Publica. 2001;10(5):300-8. (Pubitemid 33143952)
23. Rosa T. Puerto Rico's appetite for convenience. Puerto Rico Herald, 28 July 2005. Available from: http://www.puertorico-herald.org/issues2/2005/ vol09n30/CBFastFood.html. Accessed 20 November 2012.
24. Whitman S, Silva A, Shah AM. Disproportionate impact of diabetes in Puerto Rican communities in Chicago. J Community Health. 2006;31(6):521-31. (Pubitemid 44760373)
25. Tucker KL, Bermundez OI, Castaneda C. Type 2 diabetes is prevalent and poorly controlled among Hispanic elders of Caribbean origin. Am J Public Health. 2000;90(8):1288-93. (Pubitemid 30497384)
26. Ho GYF, Qian H, Kim MY, Melnik TA, Tucker KL, Jimenez-Valasquez IZ., et al. Health disparities between island and mainland Puerto Ricans. Rev Panam Salud Publica. 2006;19(5):331-9.
27. Pabon-Nau LP, Cohen A, Meigs JB, Grant RW. Hypertension and diabetes prevalence among U.S. Hispanics by country of origin: The National Health Interview Survey, 2000-2005. J Gen Intern Med. 2010;25(8):847-52.
28. Flegal KM, Ezzati TM, Harris MI, Haynes SG, Juarez RZ, Knowler WC. Prevalence of diabetes in Mexican Americans, Cubans, and Puerto Ricans from the Hispanic Health and Nutrition Examination Survey, 1982-1984. Diabetes Care. 1991;14(Suppl 3):628-38.
29. Davies AA, Borland RM, Blake C, West HE. The dynamics of health and return migration. PLoS Medicine. 2011;8(6):e1001046.
30. Bowlin SJ, Morrill BD, Nafziger AN, Lewis C, Pearson TA. Reliability and changes in validity of self-reported cardiovascular disease risk factors using dual response: the Behavioral Risk Factor Survey. J Clin Epidemiol. 1996;49(5):511-7. (Pubitemid 26195606)
31. Saydah SH, Geiss LS, Tierney E, Benjamin SM, Engelgau M, Brancati F. Review of the performance methods to identify diabetes cases among vital statistics, administrative, and survey data. Ann Epidemiol. 2004;14(7):507-16. (Pubitemid 39061162)
32. Castro FG, Shaibi GQ, Boehm-Smith E. Ecodevelopmental contexts for preventing type 2 diabetes in Latino and other racial/ethnic minority populations. J Behav Med. 2009;32(1):89-105.
33. Dinca-Panaitescu S, Dinca-Panaitescu M, Bryant T, Daiski I, Pilkington B, Raphael D. Diabetes prevalence and income: results of the Canadian Community Health Survey. Health Policy. 2011;99(2):116-23.
34. Maty SC, Everson-Rose SA, Haan MN, Raghunathan TE, Kaplan GA. Education, income, occupation, and the 34-year incidence (1965-99) of type 2 diabetes in Alameda County Study. Int J Epidemiol. 2005;34(6):1274-81. (Pubitemid 41823843)
35. Kanjilal Sanjat, Gregg EW, Cheng YJ, Zhang P, Nelson D, Mensah G, Beckles GLA. Socioeconomic status and trends in disparities in 4 major risk factors for cardiovascular disease among US adults, 1971-2002. Arch Intern Med. 2006;166(21):2348-55. (Pubitemid 44833360)
36. Agardh E, Allebeck P, Hallqvist J, Moradi T, Sidorchuk A. Type 2 diabetes incidence and socio-economic position: a systematic review and meta-analysis. Int J Epidemiol. 2011;40(3):804-18.
37. Besag J, York J, Mollie A. Bayesian image restoration, with two applications in spatial statistics. Ann Inst of Stat Math. 1991;43(1):1-59.
38. Gelfand AE, Hills SE, Racine-Poon A, Smith AFM. Illustration of Bayesian inference in normal data models using Gibbs sampling. J Am Stat Assoc. 1990;85(412):972-85.