domingo, 12 de abril de 2015

Preventing Chronic Disease | A Comparison of Cardiometabolic Risk Factors in Households in Rural Uganda With and Without a Resident With Type 2 Diabetes, 2012–2013 - CDC

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Preventing Chronic Disease | A Comparison of Cardiometabolic Risk Factors in Households in Rural Uganda With and Without a Resident With Type 2 Diabetes, 2012–2013 - CDC



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A Comparison of Cardiometabolic Risk Factors in Households in Rural Uganda With and Without a Resident With Type 2 Diabetes, 2012–2013

Jannie Nielsen, PhD; Silver K. Bahendeka, PhD; Edward W. Gregg, PhD; Susan R. Whyte, PhD; Ib C. Bygbjerg, DSCi(Med); Dan W. Meyrowitsch, PhD

Suggested citation for this article: Nielsen J, Bahendeka SK, Gregg EW, Whyte SR, Bygbjerg IC, Meyrowitsch DW. A Comparison of Cardiometabolic Risk Factors in Households in Rural Uganda With and Without a Resident With Type 2 Diabetes, 2012–2013. Prev Chronic Dis 2015;12:140486. DOI: http://dx.doi.org/10.5888/pcd12.140486External Web Site Icon.
PEER REVIEWED

Abstract

Introduction
Few studies have examined the health consequences of living in a household with a person who has been diagnosed with type 2 diabetes (T2D). We assessed the association of sharing a household with a person with diagnosed T2D and risk factors for cardio-metabolic diseases in Uganda, a low-income country.
Methods
Ninety households with 437 residents in southwestern Uganda were studied from December 2012 through March 2013. Forty-five of the households had a member with diagnosed T2D (hereafter “diabetic household”), and 45 households had no member with diagnosed T2D (hereafter “nondiabetic household”). We compared glycosylated hemoglobin (HbA1c), fasting plasma glucose (FPG), hypertension, anthropometry, aerobic capacity, physical activity, nutrition, smoking, and diabetes-related knowledge of people without diagnosed T2D living in diabetic and nondiabetic households.
Results
People living in diabetic households had a significantly higher level of diabetes-related knowledge, lower levels of FPG (5.6 mmol/L vs 6.0 mmol/L), and fewer smoked (1.3% vs 12.9%) than residents of nondiabetic households. HbA1c was significantly lower in people aged 30 years or younger (5.2% vs 5.4%) and in males (5.2% vs 5.4%) living in diabetic households compared to residents of nondiabetic households. No differences were found between the 2 types of households in overweight and obesity, upper-arm fat area, intake of staple foods or cooking oil, or physical activity.
Conclusions
Sharing a household with a person with T2D may have unexpected benefits on the risk factor profile for cardio-metabolic diseases, probably because of improved health behaviors and a closer connection with the health care system. Thus, future studies should consider the household for interventions targeting primary and secondary prevention of T2D.

Acknowledgments

Dr. Nielsen’s PhD fellowship was partly funded by Novo Nordisk Fonden (grant no. 29847). The study was sponsored by University of Copenhagen, Thorvald Madsens Fond, Aase and Ejnar Danielsens Fond, and Christian and Otilia Brorsons Rejselegat. No sponsor had any influence on the study design; data collection, analysis, or interpretation; or the writing of this article. The remaining authors have declared no conflict of interest. We thank the people who opened their homes and took time to participate in this study, the field assistants for collecting data and carrying equipment up the mountain slopes, and the Kagando Hospital staff members for their hospitality and support. We also thank Professor Thomas Scheike, Department of Biostatistics, University of Copenhagen, for statistical analysis help; Associate Professor Pernille Kæstel and Ms Maria Pedersen of the University of Copenhagen for assistance with nutritional data; and Soren Brage, University of Cambridge, for assistance with step-test data. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Author Information

Corresponding Author: Jannie Nielsen, Global Health Section, Department of Public Health, University of Copenhagen, Oester Farimagsgade 5, Building 9, Mailbox 2099, 1014 Copenhagen K., Denmark. Telephone number: (45) 35 32 69 79. Email: Jannien@sund.ku.dk.
Author Affiliations: Silver K. Bahendeka, St Francis Hospital Nsambya, Kampala, Uganda; Edward W. Gregg, Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA; Susan R. Whyte, Department of Anthropology, University of Copenhagen, Copenhagen, Denmark; Ib C. Bygbjerg, Dan W. Meyrowitsch, Global Health Section, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

References

  1. International Diabetes Federation. International Diabetes Federation diabetes atlas, sixth edition. Brussels (BE): International Diabetes Federation; 2013.
  2. Beagley J, Guariguata L, Weil C, Motala AA. Global estimates of undiagnosed diabetes in adults. Diabetes Res Clin Pract 2014;103(2):150–60. CrossRefExternal Web Site IconPubMedExternal Web Site Icon
  3. Mayega RW, Guwatudde D, Makumbi F, Nakwagala FN, Peterson S, Tomson G, et al. Diabetes and pre-diabetes among persons aged 35 to 60 years in eastern Uganda: prevalence and associated factors. PLoS ONE 2013;8(8):e72554. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  4. Lasky D, Becerra E, Boto W, Otim M, Ntambi J. Obesity and gender differences in the risk of type 2 diabetes mellitus in Uganda. Nutrition 2002;18(5):417–21. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  5. Baumann LC, Opio CK, Otim M, Olson L, Ellison S. Self-care beliefs and behaviors in Ugandan adults with type 2 diabetes. Diabetes Educ 2010;36(2):293–300. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  6. Kibirige D, Atuhe D, Sebunya R, Mwebaze R. Suboptimal glycaemic and blood pressure control and screening for diabetic complications in adult ambulatory diabetic patients in Uganda: a retrospective study from a developing country. J Diabetes Metab Disord 2014;13(1):40. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  7. Hu FB, Manson JE, Stampfer MJ, Colditz G, Liu S, Solomon CG, et al. Diet, lifestyle, and the risk of type 2 diabetes mellitus in women. N Engl J Med 2001;345(11):790–7. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  8. Kaprio J, Tuomilehto J, Koskenvuo M, Romanov K, Reunanen A, Eriksson J, et al. Concordance for type 1 (insulin-dependent) and type 2 (non-insulin-dependent) diabetes mellitus in a population-based cohort of twins in Finland. Diabetologia 1992;35(11):1060–7. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  9. Pan XR, Li GW, Hu YH, Wang JX, Yang WY, An ZX, et al. Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance. The Da Qing IGT and Diabetes Study. Diabetes Care 1997;20(4):537–44. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  10. Ramachandran A, Snehalatha C, Mary S, Mukesh B, Bhaskar AD, Vijay V. The Indian Diabetes Prevention Programme shows that lifestyle modification and metformin prevent type 2 diabetes in Asian Indian subjects with impaired glucose tolerance (IDPP-1). Diabetologia 2006;49(2):289–97. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  11. Knowler WC, Fowler SE, Hamman RF, Christophi CA, Hoffman HJ, Brenneman AT, et al. ; Diabetes Prevention Program Research Group. 10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study. Lancet 2009;374(9702):1677–86. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  12. Lindström J, Ilanne-Parikka P, Peltonen M, Aunola S, Eriksson JG, Hemiö K, et al. ; Finnish Diabetes Prevention Study Group. Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention: follow-up of the Finnish Diabetes Prevention Study. Lancet 2006;368(9548):1673–9. CrossRefExternal Web Site IconPubMedExternal Web Site Icon
  13. Hemminki K, Li X, Sundquist K, Sundquist J. Familial risks for type 2 diabetes in Sweden. Diabetes Care 2010;33(2):293–7. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  14. Saunders CL, Gulliford MC. Heritabilities and shared environmental effects were estimated from household clustering in national health survey data. J Clin Epidemiol 2006;59(11):1191–8. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  15. Christakis NA, Fowler JH. The spread of obesity in a large social network over 32 years. N Engl J Med 2007;357(4):370–9. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  16. Gorin AA, Wing RR, Fava JL, Jakicic JM, Jeffery R, West DS, et al. Weight loss treatment influences untreated spouses and the home environment: evidence of a ripple effect. Int J Obes (Lond) 2008;32(11):1678–84. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  17. Leong A, Rahme E, Dasgupta K. Spousal diabetes as a diabetes risk factor: a systematic review and meta-analysis. BMC Med 2014;12(1):12. CrossRefExternal Web Site IconPubMedExternal Web Site Icon
  18. White E, Hurlich M, Thompson RS, Woods MN, Henderson MM, Urban N, et al. Dietary changes among husbands of participants in a low-fat dietary intervention. Am J Prev Med 1991;7(5):319–25. PubMedExternal Web Site Icon
  19. Kasese District Local Government, Uganda Bureau of Statistics. Kasese District local government statistical abstract. Kasese (UG): Uganda Bureau of Statistics; 2012.
  20. Reno DC, Twinamasiko J, Mugisa CP. Kasese District poverty profiling and mapping 2011–2012. Kasese (UG): Uganda Bureau of Statistics; 2012.
  21. World Health Organization. Use of glycated haemoglobin (HbA1c) in the diagnosis of diabetes mellitus. Geneva (CH): World Health Organization; 2011.
  22. World Health Organization, International Diabetes Foundation. Definition and diagnosis of diabetes mellitus and intermediate hyperglycemia: report of a WHO/IDF consultation. Geneva (CH): World Health Organization; 2006.
  23. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL Jr, et al. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. JAMA 2003;289(19):2560–72. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  24. World Health Organization. Obesity: preventing and managing the global epidemic. Report on a WHO consultation on obesity, Geneva, 3–5 June, 1997. Geneva (CH): World Health Organization; 1997.
  25. de Onis M, Lobstein T. Defining obesity risk status in the general childhood population: which cut-offs should we use? Int J Pediatr Obes 2010;5(6):458–60.CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  26. Ashwell M, Cole TJ, Dixon AK. Ratio of waist circumference to height is strong predictor of intra-abdominal fat. BMJ 1996;313(7056):559–60 and. CrossRefExternal Web Site IconPubMedExternal Web Site Icon
  27. Frisancho AR. Anthropometric standards for the assessment of growth and nutritional status. Ann Arbor (MI): University of Michigan Press; 1990.
  28. Brage S, Brage N, Franks PW, Ekelund U, Wareham NJ. Reliability and validity of the combined heart rate and movement sensor Actiheart. Eur J Clin Nutr 2005;59(4):561–70. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  29. Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 2003;35(8):1381–95. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  30. Salmerón J, Ascherio A, Rimm EB, Colditz GA, Spiegelman D, Jenkins DJ, et al. Dietary fiber, glycemic load, and risk of NIDDM in men. Diabetes Care 1997;20(4):545–50. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  31. Vyas S, Kumaranayake L. Constructing socio-economic status indices: how to use principal components analysis. Health Policy Plan 2006;21(6):459–68.CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  32. US Department of Health and Human Services. The health consequences of smoking — 50 years of progress. A report of the Surgeon General. Atlanta (GA): US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health, 2014.
  33. Matsha TE, Soita DJ, Hassan MS, Hon GM, Yako YY, Kengne AP, et al. Three-years’ changes in glucose tolerance status in the Bellville South cohort: rates and phenotypes associated with progression. Diabetes Res Clin Pract 2013;99(2):223–30. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  34. Baptiste-Roberts K, Gary TL, Beckles GL, Gregg EW, Owens M, Porterfield D, et al. Family history of diabetes, awareness of risk factors, and health behaviors among African Americans. Am J Public Health 2007;97(5):907–12. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  35. Yoder PS. Negotiating relevance: belief, knowledge, and practice in international health projects. Med Anthropol Q 1997;11(2):131–46. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  36. Astrand I. Aerobic work capacity in men and women with special reference to age. Acta Physiol Scand Suppl 1960;49(169):1–92. PubMedExternal Web Site Icon
  37. IPAQ. Guidelines for data processing and analysis of the International Physical Activity Questionnaire (IPAQ) — short and long form; 2005. J Phys Act Health 2008;5(5):746–60. PubMedExternal Web Site Icon

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