Determination of Some Environmental Conditions as a Risk Factors for Prevalence of Type 2 Diabetes Mellitus by Using Biochemical and Hematological Parameters
DOI:
https://doi.org/10.36320/ajb/v11.i3.11865Keywords:
Type 2 Diabetes, Hematological Parameters, HDLAbstract
The present study was carried out to determine the environmental conditions as a risk factors to determination and prevalence type two diabetes by many methods such as biochemical and haematological parameters. 65 patient (42 males and 23 females) of ages between 35-90 years old, were taken from diabetic centre in Baghdad province. In this study there are high significant differences for the males and females, therefore LSD-value was 24.88**. And LSD-value for HDL was 7.833**, also this study recorded high significant differences for the relationship between the age and attack with type two diabetes mellitus, then the LSD-value were 33.90**.This study recorded high significant differences for the relationship between the smoking patients and this disease . The LSD-value were 25.96**. Generally, this study recorded relationship between the diabetes and overweight, then LSD-value were 44.28**. Also the relationship between theCholesterol and Triglyceride was high significant and the P-value was 0.54**, and the relationship of Cholesterol with LDL was high significant, then the P-value was 0.75**, but the relationship between the Cholesterol and VLDL, also there are high significant differences, then the P-value was 0.39**. This study also recorded high significant for the relationship between Triglyceride and HDL and equal 0.32**. But the relationship between the Triglyceride and VLDL was high significant differences, then the P-value equal 0.74**. Also the relationship between the HDL and VLDL was high significant differences and equal 0.34** under the (p<0.01) and (p<0.05).While conclusions ofcurrent study are recording high significant of the relationship for gender, age groups, smoking, cholesterol, Glucose, and triglyceride,HDL and weight for people whoseattack with diabetes.Therefore the aims of current study are determining some risk factors that affects by some environmental conditions which possible to associate in developing complication for individuals with diabetes type 2. By using some testes to indicate the incidence of diabetes mellitus type 2, either by using the appropriate therapy or modulating some environmental conditionsin the future, which can causative these potential risk factors.
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References
Ravichandiran, Velayutham; Sumithra, M. and Rampilla, Niharika. (2013). A Review Article on Diabetes Mellitus. International Journal of Frontiers in Science and Technology (IJFST), 1 (Issue 1): 124 pp.
Riddell, M., and Perkins, B. A. (2009). Exercise and Glucose Metabolism in Persons with Diabetes Mellitus: Perspectives on the Role for Continuous Glucose Monitoring. Journal of Diabetes Science and Technology (Online), 3(4): 914–923.
Kitabchi, AE; Umpierrez, GE; Miles, JM and Fisher, JN. (2009). "Hyperglycemic crises in adult patients with diabetes.". Diabetes Care, 32 (7): 1335–1343.
Shoback, edited by David G. and Gardner, Dolores. (2011). "Chapter 17". Greenspan's basic and clinical endocrinology (9th ed.), "Chapter 17".New York: McGraw-Hill Medical.
Wilcox, G. (2005). Insulin and Insulin Resistance. Clinical Biochemist Reviews, 26(2),19–39.
Alberti KG, Eckel RH, Grundy SM, et al. (2009).Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation.,120:1640–1645.
Rippe, edited by Richard, S. and Irwin, James M. (2010). Manual of intensive care medicine (5th ed.). Philadelphia: Walters Kluwer Health/Lippincott Williams and Wilkins: p. 549.
Picot, J; Jones, J ; Colquitt, JL; Gospodarevskaya, E; Loveman, E; Baxter, L and Clegg, AJ. (2009). "The clinical effectiveness and cost-effectiveness of bariatric (weight loss) surgery for obesity: a systematic review and economic evaluation". Health Technology Assessment (Winchester, England) 13 (41): 1–190, 215–357.
Colberg, S. R.; Sigal, R. J.; Fernhall, B.; Regensteiner, J. G.; Blissmer, B. J.; Rubin, R. R., and Braun, B. (2010). Exercise and Type 2 Diabetes: The American College of Sports Medicine and the American Diabetes Association: joint position statement. Diabetes Care, 33(12), e147–e167.
SAS.(2012). Statistical Analysis System ,Users Guide SAS.(2012). Statistical Analysis System ,Users Guide Statistical.Version9.ed.SASInst.Cary.N.C.USA.
Meisinger, C; Thorand, B; Schneider, A; Stieber, J; Döring, A. andLöwel, H.(2002). Sex differences in risk factors for incident type 2 diabetes mellitus: the MONICA Augsburg cohort study.Arch Intern Med. 2002 Jan 14; 162(1):82-9.
Hilawe, Esayas Haregot; Hiroshi, Yatsuya; Kawaguchi ,Leo and Aoyama Atsuko (2013).Differences by sex in the prevalence of diabetes mellitus, impaired fasting glycaemia and impaired glucose tolerance in sub-Saharan Africa: a systematic review and meta-analysis. Bulletin of the World Health Organization,91:671-682.
Kautzky-Willer; Alexandra, Jürgen, Harreiter and Giovanni, Pacini (2017). Sex and Gender Differences in Risk, Pathophysiology and Complications of Type 2 Diabetes Mellitus. EndocrineKautzky-Willer, Endocrine Reviews, 37(3), 278–316.
Tyrovolas, S.; Zeimbekis, A.; Bountziouka, V.; Voutsa, K.; Pounis, G.; Papoutsou, S., and Panagiotakos, D. B. (2009). Factors Associated with the Prevalence of Diabetes Mellitus Among Elderly Men and Women Living in Mediterranean Islands: The MEDIS Study. The Review of Diabetic Studies : RDS, 6(1), 54–63.
Al-Saeed, AH; Constantino, MI; Molyneaux, L. ; D'Souza, M.Limacher-Gisler, F. ; Luo, C; Wu, T. Twigg ; SM ; Yue, DKand Wong, J. (2016). An Inverse Relationship Between Age of Type 2 Diabetes Onset and Complication Risk and Mortality: The Impact of Youth-Onset Type 2 Diabetes.Diabetes Care;39(5):823-829.
Andrea Natali, Elena Toschi; Stephanie Baldeweg; Demetrio Ciociaro; StefaniaFavilla, Luigi Saccà and Ele Ferrannini. (2006). Clustering of Insulin Resistance With Vascular Dysfunction and Low-Grade Inflammation in Type 2 Diabetes.Diabetes Apr 2006, 55 (4): 1133-1140.
De Cosmo, S.; Trevisan, R; Minenna, A. ; Vedovato, M. ; Viti, R. Santini, SA; Dodesini , AR; Fioretto, P and Trischitta V.(2006). Insulin resistance and the cluster of abnormalities related to the metabolicsyndrome are associated with reduced glomerular filtration rate in patients with type 2 diabetes. Diabetes Care, 29(2):432-434.
García-Pérez, Luis-Emilio et al.(2013). Adherence to Therapies in Patients with Type 2Diabetes. Diabetes Therapy ,4(2): 175–194.
Tektook , N.K.(2005).Bacteriological and Serological study in Diabetic patients with urinary tract infections and diabetic retinopathy.M.Sc. thesis. College of Science. Al-Mustansiriyah University, Iraq.
Vijayaraghavan, K. (2010). Treatment of dyslipidemia in patients with type 2 diabetes. Lipids in Health and Disease, 9, 144.
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