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Anthropometric indexes of obesity and hypertension in elderly from Cuba and Barbados

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The journal of nutrition, health & aging

Abstract

Objective

To investigate the association between various anthropometric indexes of obesity with arterial hypertension in elderly from Barbados (Bridgetown) and Cuba (Havana).

Design

Cross-sectional data were extracted from the Survey on Health, Aging and Well being in Latin America and the Caribbean (SABE).

Sample Size

In Bridgetown and Havana, respectively, 1508 and 1905 subjects (≥ 60 years) were examined, and were selected by a controlled sampling design.

Measurements

The occurrence of hypertension was assessed by self-report. Multiple measurements of adiposity were used including body mass index (BMI ≥ 28 kg/m2), waist hip ratio (WHR = > 0.95 men; > 0.80 women), waist to height ratio (W/ht. = > 0.50) and waist circumference — WCL (> 88 cm, women; > 102 cm, men) e WCOK (> 90.3 cm, women; > 91.3cm, men). Binary logistic regression analyses (Odds Ratio) were used to measure strengths of relationships.

Results

In the elderly of Bridgetown, the final design (adjusted for age, education, race, smoking, regular physical activity and diabetes) shows that, in men, WCOK and W/Ht were associated with hypertension, and in women, WCL and WCOK were the indexes associated. In the Cuban elderly, the final design shows that, with the exception of WHR, all indicators were associated with hypertension. WCOK and W/ht were the indexes most strongly associated with the outcome.

Conclusion

The explanatory power of anthropometric indicators when determining the outcome differed between men and women, as well as between cultural groups living in relative proximity (Barbadians and Cubans).

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References

  1. Lawes CMM, Hoorn SV, Anthony Rodgers A. Global burden of blood-pressure-related disease, 2001. Lancet 2008; 371: 1513–1518.

    Article  PubMed  Google Scholar 

  2. Kearney PM, Whelton M, Reynolds K, Muntner P, Whelton PK, He J. Global burden of hypertension: analysis of worldwide data. Lancet 2005; 365: 217–223.

    PubMed  Google Scholar 

  3. Okosun IS, Rotimi CN, Forrester TE, Fraser H, Osotimehin B, Muna WF, et al. Predictive value of abdominal obesity cut-off points for hypertension in blacks from west African and Caribbean island nations. Int J Obes 2000; 24: 180–186.

    Article  CAS  Google Scholar 

  4. Doll S, Paccaud F, Bovet P, Burnier M, Wietlisbach V. Body mass index, abdominal adiposity and blood pressure: consistency of their association across developing and developed countries. Int J Obes 2002; 26: 48–57.

    Article  CAS  Google Scholar 

  5. Ghosh J R, Bandyopadhyay AR. Comparative evaluation of obesity measures: relationship with blood pressures and hypertension. Singapore Med J 2007; 48(3): 232–235.

    CAS  PubMed  Google Scholar 

  6. Redón J, Cea-Calvo L, Moreno B, Monereo S, Gil-Guillén V, Lozano JV et al. Independent impact of obesity and fat distribution in hypertension prevalence and control in the elderly. J Hypertens 2008; 26:1757–1764.

    Article  PubMed  Google Scholar 

  7. Reis JP, Araneta MR, Wingard DL, Macera CA, Lindsay SP, Marshall SJ. Overall Obesity and Abdominal Adiposity as Predictors of Mortality in U.S. White and Black Adults. Ann Epidemiol 2009;19:134–142.

    Article  PubMed  Google Scholar 

  8. Janssen I, Katzmarzyk PT, Ross R. Waist circumference and not body mass index explains obesity-related health risk. Am J Clin Nutr 2004; 79:379–384.

    CAS  PubMed  Google Scholar 

  9. Chei CL, Iso H, Yamagishi K, Tanigawa T, Cui R, Imano H et al. Body fat distribution and the risk of hypertension and diabetes among Japanese men and women. Hypertens Res 2008; 31:851–857.

    Article  PubMed  Google Scholar 

  10. Khan A, Haq FU, Pervez MB, Saleheen D, Frossard PM, Ishaq M et al. Anthropometric correlates of blood pressure in normotensive Pakistani subjects. Int J Cardiol 2008; 124: 259–262.

    Article  PubMed  Google Scholar 

  11. Nemesure B, Wu SY, Hennis A, BES Study Group. The relationship of body mass index and waist-hip ratio on the 9-year incidence of diabetes and hypertension in a predominantly african-origin population. Ann Epidemiol 2008;18:657–663.

    Article  PubMed  Google Scholar 

  12. Peláez M, Palloni A, Albala C, Alfonso JC, Ham-Chande R, Hennis A et al. SABE — Survey on Health, Welfare, and Aging, 2000 [electronic file]: ICPSR version. Washington, D.C.: Pan American Health Organization/World Health Organization (PAHO/WHO) [producers], 2004. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2005.

    Google Scholar 

  13. Albala C, Lebrão ML, León Díaz EM, Ham-Chande R, Hennis AJ, Palloni A, et al. Encuesta Salud, Bienestar y Envejecimiento (SABE): metodología de la encuesta y perfil de la población estudiada. Rev Panam Salud Publica. 2005; 17: 307–322.

    Article  PubMed  Google Scholar 

  14. Pan American Health Organization. XXXVI Meeting of the Advisory Commttee on Health Research. Multicenter Survey: Health, Welfare, and Aging in Latin America and the Caribbean (SABE) — Preliminary Report. Kingston: Pan American Health Organization; 2001.

    Google Scholar 

  15. Lean MEJ, Han TS, Morrison CE. Waist circumference as a measure for indicating need for weight management. BMJ 1995; 311:158–161.

    CAS  PubMed  Google Scholar 

  16. Keenan NL, Strogatz DS, James AS, Ammerman AS, Rice BL. Distribution and correlates of waist-to-hip ratio in black adults: The Pitt County Study. Am J Epidemiol 1992; 135:678–684.

    CAS  PubMed  Google Scholar 

  17. Hsieh SD, Muto T. The superiority of waist-to-height ratio as an anthropometric index to evaluate clustering of coronary risk factors among non-obese men and women. Int J Obes. 2006; 30: 475–483.

    Article  Google Scholar 

  18. Coqueiro RS, Barbosa AR, Borgatto AF. Anthropometric measurements in the elderly of Havana, Cuba: age and sex differences. Nutrition 2009; 25: 33–39.

    Article  Google Scholar 

  19. Misra A, Wasir JS, Vikram NK. Waist circumference criteria for the diagnosis of abdominal obesity are not applicable uniformly to all populations and ethnic groups. Nutrition 2005; 21: 969–976.

    PubMed  Google Scholar 

  20. Snijder MB, Zimmet PZ, Visser M, Dekker JM, Seidell JC, Shaw JE. Independent and opposite associations of waist and hip circumferences with diabetes, hypertension and dyslipidemia: the AusDiab Study. Int J Obes Relat Metab Disord. 2004;28(3):402–409.

    Article  CAS  PubMed  Google Scholar 

  21. Rahmouni K, Correia MLG, Haynes WG, Mark AL. Obesity-associated hypertension. New insights into mechanisms. Hypertension 2005; 45:9–14.

    Article  CAS  PubMed  Google Scholar 

  22. Campia U, Cardillo C, Panza JA. Ethnic Differences in the vasoconstrictor activity of endogenous endothelin-1 in hypertensive patients. Circulation. 2004;109:3191–3195.

    Article  PubMed  Google Scholar 

  23. Howard G, Prineas R, Moy C, Cushman M, Kellum M, Temple E, et al. Racial and geographic differences in awareness, treatment, and control of hypertension. The reasons for geographic and racial differences in stroke Study. Stroke 2006;37:1171–1178.

    Article  PubMed  Google Scholar 

  24. Gryglewska B, Grodzicki T, Kocemba J. Obesity and blood pressure in the elderly free-living population. J Hum Hypertens 1998; 12, 645–647.

    Article  CAS  PubMed  Google Scholar 

  25. Vargas CM, Burt VL, Gillum RF, Pamuk ER. Validity of self-reported hypertension in the National Health and Nutrition Examination Survey III, 1988–1991. Prev Med 1997; 26:678–685.

    Article  CAS  PubMed  Google Scholar 

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Authors and Affiliations

  1. Núcleo de Pesquisa em Cineantropometria e Desempenho Humano, Universidade Federal de Santa Catarina, Florianópolis - SC, Brazil

    A. Rodrigues Barbosa

  2. Programa de pós-graduação em Educação Física, Universidade Federal de Santa Catarina, Florianópolis - SC, Brazil

    D. Balduino Munaretti

  3. Departamento de Saúde, Universidade Estadual do Sudoeste da Bahia, Jequié - BA, Brazil

    R. Da Silva Coqueiro

  4. Departamento de Informática e Estatística, Universidade Federal de Santa Catarina, Florianópolis - SC, Brazil

    A. Ferreti Borgatto

  5. Aline Rodrigues Barbosa, Núcleo de Pesquisa em Cineantropometria e Desempenho Humano, Universidade Federal de Santa Catarina, Campus Trindade, Florianópolis - SC, Brazil

    A. Rodrigues Barbosa

Authors
  1. A. Rodrigues Barbosa
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  2. D. Balduino Munaretti
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  3. R. Da Silva Coqueiro
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  4. A. Ferreti Borgatto
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Correspondence to A. Rodrigues Barbosa.

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Barbosa, A.R., Munaretti, D.B., Da Silva Coqueiro, R. et al. Anthropometric indexes of obesity and hypertension in elderly from Cuba and Barbados. J Nutr Health Aging 15, 17–21 (2011). https://doi.org/10.1007/s12603-011-0007-7

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  • DOI: https://doi.org/10.1007/s12603-011-0007-7

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