logging in or signing up 4832PDI MS and IR s.dakak Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 17 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: March 05, 2010 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Slide 1: Can the Metabolic Syndrome identify children with insulin-resistance? Slide 2: Haffner SM Diabetes. 41: 715–722. 1992 Obesity plays a central role in the Metabolic Syndrome, which also includes insulin resistance, hypertension and hyperlipidemia. Early identification of the Metabolic Syndrome is important in order to identify those most at risk for T2DM Background Slide 3: Objective: To determine the association between children's Metabolic Syndrome and Insulin-resistance Slide 4: 167 school children were examined. Mean age = 6.7 +/-3 y April-August 2004 BMI, waist, BP, Tanner, glucose, Insulin, Lipids, CRP, adiponectin 73 were Obese, 41 overweight Methods Slide 5: Inclusion criteria Normal physical examinations Normal renal and thyroid function Exclusion criteria Use of medication that alters BP or glucose or lipid metabolism Slide 6: Criteria for Pediatric Metabolic Syndrome. *based on our measurements of 5130 normal children (unpublished data) Slide 7: Results Slide 8: 2.0 1.7 -0.1 2.6 1.3 -0.4 128.3 73 67.8 35.3 51.5 53 116.8 101.4 96.6 89.1 85.6 83.1 2.6 1.5 0.8 21.5 28.7 30.4 0.5 0.3 0.2 * P<0.05; ** P<0.01 Clinical and metabolic characteristics according to OW/OB Slide 9: Prevalence of risk factors for the MS Slide 10: Results 129 (77%), 20 (12%), 10 (6%), and 8 (5%) were Tanner stage I, II, III, and IV respectively HOMA-IR for patients with one through four components for metabolic syndrome was higher (Beta = 0.6; 95%CI: 0.4-0.7; P<0.0001) The prevalence of metabolic syndrome rises with increasing Tanner stage as insulin-resistance increases in puberty ( p=0.019). Slide 11: 0 1 2 1,2 1,52 2 HOMA-IR: OR 1.52 p=0.007 Logistic Regression Analysis Dependent variable: metabolic syndrome; N=167 Slide 12: Conclusion Insulin-resistance was associated with pediatric metabolic syndrome. This suggests that early identification of metabolic syndrome could predict future CVD and T2DM You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
4832PDI MS and IR s.dakak Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 17 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: March 05, 2010 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Slide 1: Can the Metabolic Syndrome identify children with insulin-resistance? Slide 2: Haffner SM Diabetes. 41: 715–722. 1992 Obesity plays a central role in the Metabolic Syndrome, which also includes insulin resistance, hypertension and hyperlipidemia. Early identification of the Metabolic Syndrome is important in order to identify those most at risk for T2DM Background Slide 3: Objective: To determine the association between children's Metabolic Syndrome and Insulin-resistance Slide 4: 167 school children were examined. Mean age = 6.7 +/-3 y April-August 2004 BMI, waist, BP, Tanner, glucose, Insulin, Lipids, CRP, adiponectin 73 were Obese, 41 overweight Methods Slide 5: Inclusion criteria Normal physical examinations Normal renal and thyroid function Exclusion criteria Use of medication that alters BP or glucose or lipid metabolism Slide 6: Criteria for Pediatric Metabolic Syndrome. *based on our measurements of 5130 normal children (unpublished data) Slide 7: Results Slide 8: 2.0 1.7 -0.1 2.6 1.3 -0.4 128.3 73 67.8 35.3 51.5 53 116.8 101.4 96.6 89.1 85.6 83.1 2.6 1.5 0.8 21.5 28.7 30.4 0.5 0.3 0.2 * P<0.05; ** P<0.01 Clinical and metabolic characteristics according to OW/OB Slide 9: Prevalence of risk factors for the MS Slide 10: Results 129 (77%), 20 (12%), 10 (6%), and 8 (5%) were Tanner stage I, II, III, and IV respectively HOMA-IR for patients with one through four components for metabolic syndrome was higher (Beta = 0.6; 95%CI: 0.4-0.7; P<0.0001) The prevalence of metabolic syndrome rises with increasing Tanner stage as insulin-resistance increases in puberty ( p=0.019). Slide 11: 0 1 2 1,2 1,52 2 HOMA-IR: OR 1.52 p=0.007 Logistic Regression Analysis Dependent variable: metabolic syndrome; N=167 Slide 12: Conclusion Insulin-resistance was associated with pediatric metabolic syndrome. This suggests that early identification of metabolic syndrome could predict future CVD and T2DM