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Association between diabetes mellitus and hypertension with anthropometric indicators in older adults: Results of the Mexican Health Survey, 2000

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The Journal of Nutrition Health and Aging

Abstract

Objective: To determine the association between anthropometric indicators of adiposity with type 2 diabetes mellitus (T2DM) and hypertension (HTN) in older adults.Design: Cross-sectional study of participants of the Mexican Health Survey 2000 (MHS).Setting: Mexico, subjects recruited from the general community.Participants: The analytic sample included 7,322 adults who were ≥60 years of age at the time of the survey. T2DM data were available on 6,994 individuals, who represent 95.5% of the original sample; data on HTN was available on 6,268 subjects, which accounted for 86.5% of the original sample.Measurements: Type 2 diabetes mellitus and hypertension, as well as anthropometric indicators including body mass index (BMI), waist circumference (WC), and conicity index (CI).Results: The prevalence of T2DM and HTN in this age group was 34.3% and 73.9%, respectively. After adjusting for other variables, the association between high WC and T2DM (OR=1.59 95%CI=1.26-2.01, P < 0.001) was stronger than the association with overweight (OR=1.26, 95%CI= 1.01–1.58, P=0.04) and obesity (OR=1.38, 95%CI= 1.08–1.79, P< 0.01) using BMI, and slightly higher than tertile 2 of the CI (OR=1.49, 95%CI=1.20–1.88, P< 0.01), while tertile 3 showed a stronger association with T2DM (OR=1.60, 95%CI=1.22–2.08, P< 0.001). However, the association between obesity and HTN measured by BMI (OR=1.98, 95%CI=1.48–2.65, P< 0.001) was stronger than what was observed with overweight (OR=1.42, 95%CI 1.13–1.77, P< 0.01), with high WC (OR=1.62, 95%CI=1.25–2.10, P< 0.001) and tertiles 2 and 3 of the CI (OR=1.23, 95%CI=0.99–1.55, P= 0.09); (OR=1.53, 95%CI= 1.16–2.03, P< 0.01) respectively.Conclusions: BMI and abdominal obesity are significantly and independently associated with an increase in the prevalence of T2DM and HTN among older Mexican adults.

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References

  1. Partida-Bush V. Perspectiva demográfica del envejecimiento en México. In: Envejecimiento demográfico en México: Retos y perspectivas. Consejo Nacional de Población. 1999:25–39.

  2. McCarthy M. Boom in Latin American and Caribbean elderly population. Region’s health systems have 10 years to prepare for rising number of elderly, report warns. Lancet 2004; 363: 458–459.

    Article  PubMed  Google Scholar 

  3. Tucker LC and Buranapin S. Nutrition and aging in developing countries. J. Nutr. 2001; 131: 2417S-2423S.

    PubMed  CAS  Google Scholar 

  4. Velázquez-Alva MC, Castillo-Martínez L, Irigoyen-Camacho E, Zepeda-Zepeda MA, Gutiérrez-Robledo LM, Cisneros-Moysen P (1996): Estudio Antropométrico en un grupo de hombres y mujeres de la tercera edad en la ciudad de México. Salud Pública Mex. 1996; 38: 466–474.

    PubMed  Google Scholar 

  5. Molarius A, Scidell J, Visscher T, Hofman A. Misclassification of High-Risk Older Subjects Using Waist Action Levels Established for Young and Middle-Aged Adults. Resuts from the Rotterdam Study. J. Am. Geriatr. Soc. 2000; 48: 1638–1645.

    PubMed  CAS  Google Scholar 

  6. Lerman I, Villa A, Llaca C, Cervantes L, Aguilar C, Wong B, Gómez F, Gutierrez LM. The Prevalence of Diabetes and Assocciated Coronary Risk Factors in Urban and Rural Older Mexican Populations. J. Am. Geriatr. Soc. 1998; 46: 1387–1395.

    PubMed  CAS  Google Scholar 

  7. Gutierrez-Fisac JL, Lopez E, Banegas JR, Graciani A, Rodriguez-Artalejo F Prevalence of overweight and obesity in elderly people in Spain. Obes. Res. 2004; 12: 710–715.

    Article  PubMed  Google Scholar 

  8. Mensah GA, Mokdad AH, Ford E, Narayan KM, Giles WH, Vinicor F, et al. Obesity, metabolic syndrome, and type 2 diabetes: emerging epidemics and their cardiovascular implications. Cardiol. Clin. 2004; 22: 485–504.

    Article  PubMed  Google Scholar 

  9. Sowers JR Diabetes in the elderly and in women: cardiovascular risks. Cardiol. Clin. 2004; 22: 541–551.

    Article  PubMed  Google Scholar 

  10. World Health Organization. Uses and Interpretation of Anthropometry for Assessment of physical status. Report of a WHO Expert Committee. Geneva, Switzerland: World Health Organization, 1993.

    Google Scholar 

  11. Irigoyen CME, Zepeda MA, Velázquez Alva MC. Mediciones antropométricas en la estimación de la masa grasa en individuos de la tercera edad. Rev Ciencias Clín. 2002; 3: 27–34.

    Google Scholar 

  12. Zhu SK, Wang Z, Heshka S, Heo M, Faith M and Heymsfied S. Waist circumference and obesity-associated risk factors among whites in the third National Health and Nutrition Examination Survey: clinical action thresholds. Am J Clin Nutr. 2002; 76: 743–749

    PubMed  CAS  Google Scholar 

  13. Niklas BJ, Penninx BJ, Cesari M, Kritchevsky SB, Newman AB, Kanaya AM, et al. Association of Visceral Adipose Tissue with Incident Myocardial Infarction in Older Men and Women. The Health, Aging and Body Composition Study. Am J Epidemiol. 2004; 160: 741–749.

    Article  Google Scholar 

  14. Valdez R. A Simple Model-Based Index of Abdominal Adiposity. J Clin Edipemiol. 1991; 44 (9): 955–956.

    Article  CAS  Google Scholar 

  15. Valdez R, Scidell JC, Ahn YI and Weiss KM. A new index of abdominal adiposity as an indicador of risk for cardiovascular disease. A cross population study. Int J Obes. 1993; 17: 77–82.

    CAS  Google Scholar 

  16. Janssen I, Katzmarzyk PT, Ross R. Body Mass Index, Waist Circumference and Health Risk. Evidence in Support of Current National Institutes of Health Guidelines. Arch Intern Med. 2002; 162: 2074–2079.

    Article  PubMed  Google Scholar 

  17. Heiat A, Vaccarino V, Krumholz HM. An Evidence-Based Assessment of Federal Guidelines for Overweight and Obesity as They Apply to Elderly Person. Arch Intern Med. 2001; 161: 1194–1203.

    Article  PubMed  CAS  Google Scholar 

  18. Instituto Nacional de Estadística, Geografía e Informática. Estadísticas Históricas de México. INEGI, México. Tomo 1, 2000.

    Google Scholar 

  19. Encuesta Nacional de Salud 2000. Tomo 1. Vivienda, población y utilizatión de los servicios de salud. Institute Nacional de Salud Pública. Secretaría de Salud.

  20. Diario Oficial de la Federatión. Ley de Informatión Estadística y Geográfica. México, 1980.

  21. Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. The Expert Committee on the Diagnosis and Classification of Diabetes. Diabetes Care. 2002; 25: suppl 1 S5–S20.

    Google Scholar 

  22. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive Summary of the Third Report of National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. (Adult Treatment Panel III). JAMA. 2001; 285: 2486–2497.

    Article  Google Scholar 

  23. Habith JP. Estandarización de métodos epidemiológicos cuantitativos sobre el terreno. Bol Oficina Sanit Panam. 1974; 76: 375–385.

    Google Scholar 

  24. Lohman TG, Roche AF; Martorell R, Ed. Anthropometric standardization reference manual. Champing, Illinois. Human Kinetics Books. 1988

    Google Scholar 

  25. Hernández S, Peterson K, Dixit S, Hernández B, Parra S, Barquera S. Association of maternal short stature with stunting in Mexican children with stunting in Mexican children: common genes vs common environment. Eur J Clin Nutr. 1999; 53: 938–945.

    Article  PubMed  Google Scholar 

  26. Stata Corp. Stata reference manual. Release 7. Stata Press, College Station, TX: Stata Corp.; 2001

    Google Scholar 

  27. World Health Organization. Obesity: Preventing and Managing the Global Epidemic: Report of a WHO Consultation on Obesity. Geneva, Switzerland: World Health Organization; 1998. Publication No. WHO/NUT/NCD/98.1

    Google Scholar 

  28. Bagley SC, White H, Golomb BA. Logistic regression in the medical literature: Standards for use and reporting, with particular attention to one medical domain. J Clin Epidemiol. 2001; 54: 979–985.

    Article  PubMed  CAS  Google Scholar 

  29. Kaye AS, Folsom AR, Sprafka JM, Prineas RJ and Wallace RB. Increased Incidence of Diabetes Mellitus in Relation to Abdominal Adipositiy in Older Women. J Clin Epidemiol. 1991; 44: 329–334.

    Article  PubMed  CAS  Google Scholar 

  30. Brown CD, Higgins M, Donato KA, Rohde FC, Garrison R, Obarzanek E, Ernst ND, Horan M. Body Mass Index and Prevalence of Hypertension and Dyslipidemia. Obes Res. 2000; 8: 605–619.

    Article  PubMed  CAS  Google Scholar 

  31. Kroke A., Bergmann M, Klipstein-Grobusch K, Boeing H. Obesity, body fat distribution and body build: their relation to blood pressure and prevalence of hypertension. Int J Obes Relat Metab Disord. 1998 22 (11): 1062–70.

    Article  PubMed  CAS  Google Scholar 

  32. Must A, Spadano J, Coakley EH, Field AE, Colditz G, Dietz WH. The disease burden associated with overweight and obesity. JAMA. 1999; 282: 1523–1529.

    Article  PubMed  CAS  Google Scholar 

  33. Folsom AR, Kushi LH, Anderson KE, Mink PJ, Olson JE, Hong C-P, Sellers TA, Lazovich D, Prineas R. Association of General and Abdominal Obesity With Multiple Health Outcomes in Older Women. The Iowa Women’s Health Study. Arch Inter Med. 2000; 160: 2117–2128.

    Article  CAS  Google Scholar 

  34. Snijder MB, Dekker JM, Visser M, Bouter LM, Stehouwer CDA, Kostense PJ, et al. Associations of hip and thigh circumferences independent of waist circumference with the incidence of type 2 diabetes: the Hoorn Study. Am J Clin Nutr. 2003; 77: 1192–7

    PubMed  CAS  Google Scholar 

  35. Morley JE, Mooradian AD, Rosenthal MJ, Kaiser FE Diabetes mellitus in elderly patients: Is it different? Am J Med. 1987; 83: 533–544.

    Article  PubMed  CAS  Google Scholar 

  36. Popkin B. The nutrition transition in low-income countries: an emerging crisis. Nutr Rev. 1994; 52: 285–98.

    Article  PubMed  CAS  Google Scholar 

  37. López-García E, Banegas JR, Gutiérrez JL, Gzaciani A, Díez L and Rodríguez F. Relation between body weight and health-related quality of life among the elderly in Spain. Int J Obes. 2003; 27: 701–709.

    Article  Google Scholar 

  38. Wingard DL, Sinsheimer P, Barret-Connor EL, McPhillip JB. Community based study of the incidence of NIDDM in older adults. Diabetes Care. 1990; 13: 3–8.

    Google Scholar 

  39. Pochlman ET, Toth MJ, Bunyard LB, Gardner AW, Donaldson KE, Colman E, Fonong T, Ades PA. Physiological Predictors of Increasing Total and Central Adiposity in Aging Men and Women. Arch Intern Med. 1995; 155: 2443–2448.

    Article  Google Scholar 

  40. Wannamethee SG, Shaper AG, Morris RW, Whincup PH. Measures of adiposity in the identification of metabolic abnormalities in elderly men. Journal of the American Geriatrics Society. 2006; 54 (12), 1909–1914.

    Article  PubMed  Google Scholar 

  41. Kalkhoff RK, Hartz AJ, Rupley D, Kissebah AH, Kelber S. Relationship of body fat distribution to blood pressure, carbohydrate tolerance, and plasma lipids in healthy obese women. J Lab Clin Med. 1983; 102: 621–627.

    PubMed  CAS  Google Scholar 

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Sanchez-Viveros, S., Barquera, S., Medina-Solis, C.E. et al. Association between diabetes mellitus and hypertension with anthropometric indicators in older adults: Results of the Mexican Health Survey, 2000. J Nutr Health Aging 12, 327–333 (2008). https://doi.org/10.1007/BF02982664

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