Objectives: Obesity rates have increased globally with increase in the incidence of comorbidities especially type 2 diabetes mellitus. A cross-sectional study was conducted on healthy obese adults to estimate: (i) comparisons of anthropometric indicators, lipid profile, and glycemic profile in obese compared with non-obese, and (ii) the association of anthropometrics and lipid profile with glycemic profile in obese adults. Methods: The study includes 120 individual with aged ranged (25 – 55) years were enrolled in this study. They were divided into two groups: group one (G1) consist of 90 patients with a body mass index (BMI) of more than 25 kg/m2. Group two (G2) of 30 healthy adults as a control group with (BMI) of less than 25 kg/m2.waist circumference (WC), hip circumference (HC), and waist/hip ratio (WHR) as anthropometric indicators, and fasting serum lipid profile, glycated hemoglobin (HbA1c), and Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) as biochemical variables were assessed. Statistical significance (α) was set at (p<0.05).Results: Based on independent samples T-test analysis acted as a significant comparison between non-obese and obese groups, anthropometrics and biochemical variables exhibited highly significant higher in obese compared with non-obese. Also, a positive significant correlation was found between WC and WHR with both of HOMA-IR and HbA1c. Finally, a positive significant association of HOMA-IR with triglycerides (TG), total cholesterol (TC), very low-density lipoprotein cholesterol (VLDL-C), low-density lipoprotein cholesterol (LDL-C) except for high-density lipoprotein cholesterol (HDL-C), no significance was found as well as HbA1c showed only positive significant association with LDL-C. In conclusion, the present study demonstrated that WC was the strongest indicator for increasing HOMA-IR than WHR. Also, this study revealed that abnormalities in lipid profile in obese participants have shown strong positive association with HOMA-IR, particularly LDL-C.
{"title":"A Comparative Biochemical Study Between Patient’s Obese and Healthy","authors":"Asmaa Salman, P. Saifullah","doi":"10.30526/36.2.3036","DOIUrl":"https://doi.org/10.30526/36.2.3036","url":null,"abstract":"Objectives: Obesity rates have increased globally with increase in the incidence\u0000 of comorbidities especially type 2 diabetes mellitus. A cross-sectional study was\u0000 conducted on healthy obese adults to estimate: (i) comparisons of anthropometric\u0000 indicators, lipid profile, and glycemic profile in obese compared with non-obese, and\u0000 (ii) the association of anthropometrics and lipid profile with glycemic profile in obese\u0000 adults. Methods: The study includes 120 individual with aged ranged (25 – 55) years were\u0000 enrolled in this study. They were divided into two groups: group one (G1) consist of 90\u0000 patients with a body mass index (BMI) of more than 25 kg/m2. Group two (G2) of 30\u0000 healthy adults as a control group with (BMI) of less than 25 kg/m2.waist circumference\u0000 (WC), hip circumference (HC), and waist/hip ratio (WHR) as anthropometric indicators,\u0000 and fasting serum lipid profile, glycated hemoglobin (HbA1c), and Homeostatic Model\u0000 Assessment for Insulin Resistance (HOMA-IR) as biochemical variables were assessed. \u0000 Statistical significance (α) was set at (p<0.05).Results: Based on independent\u0000 samples T-test analysis acted as a significant comparison between non-obese and obese\u0000 groups, anthropometrics and biochemical variables exhibited highly significant higher in\u0000 obese compared with non-obese. Also, a positive significant correlation was found\u0000 between WC and WHR with both of HOMA-IR and HbA1c. Finally, a positive significant\u0000 association of HOMA-IR with triglycerides (TG), total cholesterol (TC), very low-density\u0000 lipoprotein cholesterol (VLDL-C), low-density lipoprotein cholesterol (LDL-C) except for\u0000 high-density lipoprotein cholesterol (HDL-C), no significance was found as well as HbA1c\u0000 showed only positive significant association with LDL-C. In conclusion, the present\u0000 study demonstrated that WC was the strongest indicator for increasing HOMA-IR than WHR.\u0000 Also, this study revealed that abnormalities in lipid profile in obese participants have\u0000 shown strong positive association with HOMA-IR, particularly LDL-C.","PeriodicalId":13022,"journal":{"name":"Ibn AL- Haitham Journal For Pure and Applied Sciences","volume":"78 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84075965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. K. Hussein, Huda Abdullah Rasheed, Iden Hasan Hussein
This paper deals with the mathematical method for extracting the Exponential Rayleighh distribution based on mixed between the cumulative distribution function of Exponential distribution and the cumulative distribution function of Rayleigh distribution using an application (maximum), as well as derived different statistical properties for distribution, and present a structure of a new distribution based on a modified weighted version of Azzalini’s (1985) named Modified Weighted Exponential Rayleigh distribution such that this new distribution is generalization of the distribution and provide some special models of the distribution, as well as derived different statistical properties for distribution
{"title":"A Class of Exponential Rayleigh Distribution and New Modified Weighted Exponential\u0000 Rayleigh Distribution with Statistical Properties","authors":"L. K. Hussein, Huda Abdullah Rasheed, Iden Hasan Hussein","doi":"10.30526/36.2.3044","DOIUrl":"https://doi.org/10.30526/36.2.3044","url":null,"abstract":"This paper deals with the mathematical method for extracting the Exponential\u0000 Rayleighh distribution based on mixed between the cumulative distribution function of\u0000 Exponential distribution and the cumulative distribution function of Rayleigh\u0000 distribution using an application (maximum), as well as derived different statistical\u0000 properties for distribution, and present a structure of a new distribution based on a\u0000 modified weighted version of Azzalini’s (1985) named Modified Weighted Exponential\u0000 Rayleigh distribution such that this new distribution is generalization of the\u0000 distribution and provide some special models of the distribution, as well as derived\u0000 different statistical properties for distribution","PeriodicalId":13022,"journal":{"name":"Ibn AL- Haitham Journal For Pure and Applied Sciences","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81999411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}