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Central Adiposity and General Adiposity as Major Risk Predictors of Various Life Styles Related Diseases especially Hypertension and Type 2 DM


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1 DST Project Biological Sciences Group 2243 M, Faculty Division II Birla Institute of Technology and Science (BITS) Pilani, 333031 Rajasthan, India
     

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The functional roles of Waist circumference (WC), Waist and hip ratio (W/H ratio) and Body mass index (BMI) as risk factors for hypertension and type 2 diabetes mellitus (DM) in the Nomads Tribal population of Rajasthan State are evaluated in the paper. Four hundred and forty-five participants, aged between 18 to 100 years old are taken as subjects for scientific study. The prevalence of prehypertension (34.4%), hypertension (22.5%), prediabetes 5.2 % (n= 23) and diabetes (approximately 3.4 %) (n =15) is noted in the select population. Body mass index, waist circumference, and waist/hip ratio in the study are shown to be associated with type 2 DM and hypertension. Women with W/H ratio > 85+ and men with W/H ratio > 1.0+ are shown to be prone to increased risk of diabetes. And subjects having body mass index (BMI) particularly in the range of (obese) >25 appear to be vulnerable to hypertension. Similarly subjects with greater waist circumferences look to be exposed to hypertension. The study in the paper also supports the observation that both BMI and WC yield almost the same results. The findings suggests that by keeping a check on modifying risk factors like BMI, WC and W/ H ratio we can control the prevalence of life styles associated diseases like hypertension and type 2 DM.

Keywords

Nomads, Adiposities, Incidence, SBP, DBP, FBG levels
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  • Amos AF, McCarty DJ, Zimmet P. The rising global burden of diabetes and its complications: estimates and projections to the year 2010. Diabetic Med 1997; 14 (Suppl 5):S7-S85.
  • King H, Aubert RE, Herman WH. Global burden of diabetes, 1995-2025; prevalence, numerical estimates and projections. Diabetes Care 1998; 21: 1414-1431
  • World Health Organization (WHO). Obesity: Preventing and Managing the Global Epidemic. Geneva: WHO, 1998.
  • DeFronzo RA. Pathogenesis of type 2 diabetes mellitus. Med Clin North Am (2004) 88:787– 835.[Cross Ref][Web of Science][Medline]
  • Ford ES, Mokdad AH, and Giles WH. Trends in waist circumference among U.S. adults. Obes Res (2003) 11:1223–31.
  • Wei M, Gaskill SP, Haffner SM, et al. Waist circumference as the best predictor of noninsulin dependent diabetes mellitus (NIDDM) compared to body mass index, waist/hip ratio and other anthropometric measurements in Mexican Americans—a 7-year prospective study. Obes Res (1997) 5:16–23.
  • Janssen I, Katzmarzyk PT, Ross R. Waist circumference and not body mass index explains obesity-related health risk. Am J Clin Nutr (2004) 79:379–84.
  • Stevens J, Couper D, Pankow J, et al. Sensitivity and specificity of anthropometrics for the prediction of diabetes in a biracial cohort. Obes Res (2001) 9:696–705.
  • Ohlson LO, Larsson B, Bjorntorp P, et al. Risk factors for type 2 (non-insulin-dependent) diabetes mellitus. Thirteen and one-half years of follow-up of the participants in a study of Swedish men born in 1913. Diabetologia (1988) 31:798–805.
  • Lundgren H, Bengtsson C, Blohme G, et al. Adiposity and adipose tissue distribution in relation to incidence of diabetes in women: results from a prospective population study in Gothenburg, Sweden. Int J Obes (1989) 13:413–23.
  • Cassano PA, Rosner B, Vokonas PS, et al. Obesity and body fat distribution in relation to the incidence of non-insulin-dependent diabetes mellitus. A prospective cohort study of men in the Normative Aging Study. Am J Epidemiol (1992) 136:1474–86.
  • Nakagami T, Qiao Q, Carstensen B, et al. Age, body mass index and type 2 diabetes—associations modified by ethnicity. Diabetologia (2003) 46:1063–70.
  • Abate N, Chandalia M. The impact of ethnicity on type 2 diabetes. J Diabetes Complications (2003) 17:39–58.
  • Haffner SM, Mitchell BD, Hazuda HP, et al. Greater influence of central distribution of adipose tissue on incidence of non-insulin-dependent diabetes in women than men. Am J Clin Nutr (1991) 53:1312–17.
  • Cassano PA, Rosner B, Vokonas PS, et al. Obesity and body fat distribution in relation to the incidence of non-insulin-dependent diabetes mellitus. A prospective cohort study of men in the Normative Aging Study. Am J Epidemiol (1992) 136:1474–86.
  • Boyko EJ, Fujimoto WY, Leonetti DL, et al. Visceral adiposity and risk of type 2 diabetes: a prospective study among Japanese Americans. Diabetes Care (2000) 23:465–71.
  • Chan JM, Rimm EB, Colditz CA, et al. Obesity, fat distribution, and weight gain as risk factors for clinical diabetes in men. Diabetes Care (1994) 17:961–9.
  • Expert Committee on the Diagnosis and Classification of Diabetes Mellitus: Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus (Position Statement). Diabetes Care 20:1183–1197, 1997
  • Ford ES, Mokdad AH, Giles WH. Trends in waist circumference among U.S. adults. Obes Res (2003) 11:1223–31.
  • Molarius A, Seidell JC. Selection of anthropometric indicators for classification of abdominal fatness—a critical review. Int J Obes Relat Metab Disord (1998) 22:719–27.
  • Seidell JC, Bjorntorp P, Sjostrom L, et al. Regional distribution of muscle and fat mass in men—new insight into the risk of abdominal obesity using computed tomography. Int J Obes (1989) 13:289– 303.
  • Janssen I, Heymsfield SB, Allison DB, et al. Body mass index and waist circumference independently contribute to the prediction of nonabdominal, abdominal subcutaneous and visceral fat. Am J Clin Nutr (2002) 75:683–8.
  • Wei M, Gaskill SP, Haffner SM, et al. Waist circumference as the best predictor of noninsulin dependent diabetes mellitus (NIDDM) compared to body mass index, waist/hip ratio and other anthropometric measurements in Mexican Americans—a 7-year prospective study. Obes Res (1997) 5:16–23.
  • CODA Study group, Duval SJ. The association of BMI and waist circumference with diabetes in an international context: the CODA (Collaborative Study of Obesity and Diabetes in Adults) project. Presented at the American Diabetes Association 64th Scientific Sessions, Orlando, Florida, June 4– 8, 2004.

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  • Central Adiposity and General Adiposity as Major Risk Predictors of Various Life Styles Related Diseases especially Hypertension and Type 2 DM

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Authors

Bandana Sachdev
DST Project Biological Sciences Group 2243 M, Faculty Division II Birla Institute of Technology and Science (BITS) Pilani, 333031 Rajasthan, India

Abstract


The functional roles of Waist circumference (WC), Waist and hip ratio (W/H ratio) and Body mass index (BMI) as risk factors for hypertension and type 2 diabetes mellitus (DM) in the Nomads Tribal population of Rajasthan State are evaluated in the paper. Four hundred and forty-five participants, aged between 18 to 100 years old are taken as subjects for scientific study. The prevalence of prehypertension (34.4%), hypertension (22.5%), prediabetes 5.2 % (n= 23) and diabetes (approximately 3.4 %) (n =15) is noted in the select population. Body mass index, waist circumference, and waist/hip ratio in the study are shown to be associated with type 2 DM and hypertension. Women with W/H ratio > 85+ and men with W/H ratio > 1.0+ are shown to be prone to increased risk of diabetes. And subjects having body mass index (BMI) particularly in the range of (obese) >25 appear to be vulnerable to hypertension. Similarly subjects with greater waist circumferences look to be exposed to hypertension. The study in the paper also supports the observation that both BMI and WC yield almost the same results. The findings suggests that by keeping a check on modifying risk factors like BMI, WC and W/ H ratio we can control the prevalence of life styles associated diseases like hypertension and type 2 DM.

Keywords


Nomads, Adiposities, Incidence, SBP, DBP, FBG levels

References