Effects of Socio-Demographic Covariates on Blood Glucose Level of the Diabetic Patients: A Multiple Classification Analysis (MCA)
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| Author(s) |
|Md. Behzad Noor, Dr. Mir Mohammad Azad, Dr. J.A.M. Shoquilur Rahman|
| KEYWORDS |
Glucose Level of Diabetic Patients.
This study has been undertaken to determine the socio-demographic related covariates affecting blood glucose level of the diabetic patients as well as to identify the extent of influences of the variables by the implied factors on blood glucose level. Data have been collected from two diabetic diagnostic centers in Rajshahi City. The result implies that insulin intake, blood pressure, tablet intake and mental suppression of the diabetic patients have the intense influence on blood glucose level. The proportion of variance explained (adjusted) by the respective variables are = 0.422, 0.122 and 0.120 respectively. So, the diabetic patients are supposed to maintain their medication, control their blood pressure, become free from mental suppression, overall, giving up the sedentary life style. They should maintain a regulatory life to keep themselves away from having high blood glucose level.
 C. Snehalatha, A. Kapur, and V. Vijay, J. Assoc. Physicians
India 51, 766 (2001).
 H. G. Allen, J. C. Allen, L. C. Boyd, and B. P. Alston-Mills
Can, Nutrition 19, 584 (2003).
 N. D. Kim, K. T. Mary, L. Karen, C. Gary, M. Neil, and Gsc.
D. Francine, Obstet Gynecol. 194, 339 (2005).
 Diabetes - A brief historical aspect; A Handbook of Diabetes
Mellitus, New Mediwave Publication –LUPN 45
 A. Bener, M. Zirie, and A. Al-Rikabi, Genetics, obesity, and
environmental risk factors associated with type-II diabetic,
Croat Med. J., 46, 302-307 (2005).
 World Health Organization, World Diabetic: A News Letter,
 World Health Organization, Regional Office for South East
Asia, New Delhi, 2002.
 J. Lopatynski, G. Mardarowicz, and G. Szczesniak, A comparative
evaluation of waist circumference, waist-to-hip ratio,
waist-to-height ratio and body mass index as indicator
of impaired glucose tolerance and as risk factors for type-II.
Ann. Univ. Mariae curie Skildowska, 58, 413-419 (2003).
 A. M. Habori, A. M. Mamari and A. A. Meeri, Diabetic Res.
Clin. Pract. 65, 275 (2004).
 N. D. Kim, K. T. Karen, C. Gary, M. Neil and Gs. D. Francine,
Am. J. Obset. Gynecol. 194, 339 (2006).
 L. N. Duc Son, T. T. Hanh, K. Kusama, D. Kunni, T. Sakai,
N. T. Hung, and S. Yamamoto, J. Am. Coll Nutr. 24, 229
 C. G. Sonomon, F. B. Hu, A. Dunaif, J. Rich-Edwards, W. C.
Willett, D. J. Hunter, G. A. Colditz, F. E. Speizer, and J. E.
Manson, JAMA 286, 2421 (2004).
 M. A. Sayeed, A. Banu, A. R. Khan, and M. Z. Hussain,
Diabetic Care 18, 555 (1995).
 H. King, R. E. Aubert, and W. H. Herman, Diabetic Care 16,
 Register book of Rajshahi Civil Surgeon Office, June 2008
 Daroga Singh, and F. S. Chaudhary, The Theory and Analysis
of Sample Survey Designs, 3rd Ediation (New Age Internatioal
(P) Limited, New Delhi, 1997).
 M. A. Rahim, S. Vaaler, S. M. Keramat Ali, A. K. Khan, A.
Hussain, and Q. Nahar, Prevalence of type-II diabetic in
urban slums of Dhaka, Bangladesh, Bangladesh Med. Res.
Counc. Bull., 20, 60-70 (2004).
 C. Snehalatha, A. Ramachandran, A. Kapur, and V. Vijay,
Age-specific prevalence and risk associations for impaired
glucose tolerance in urban southern Indian population, J.
Assoc, Physicians India, 51, 766-769 (2003).
 M. A. Sayeed, M. Hajera, A. K. Parvin, A. L. Zafar, S. M. A.
Keramat, B. Akhtar, B. Ahren, and A. K. Azad, Diabetic
and impaired fasting glycemia in rural population of Bangladesh,
Diabetic Care, 26, 1034-1039 (2003).
 T. Saito, Y. Shimazaki, Y. Kiyohara, I. Kato, M. Kubo, M.
Iida and Y. Yamasita, J. Periodontal Res. 40, 346 (2005).
 C. G. Sonomon, A. Dunaif, J. Rich-Edward, W. C. Willett,
D. J. Hunter, G. A. Colditz, F. E. Speizer and J. E. Manson,
J. A. M. A. 286, 2421 (2001).
 H. G. Allen, J. C. Allen, L. C. Boyd and B. P. Alston-Mills,
Nutrition 19, 584 (2003).