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Articles by Badaruddoza
Total Records ( 3 ) for Badaruddoza
  Badaruddoza , Kushal Gill and Preet Kamal Sandhu
  The aim of the present study was to identify the clusters of risk factors of cardiovascular diseases among north Indian Punjabi population in India. The clustering of variables was evaluated by Principal Component Factor Analysis (PCFA) with varimax rotation on 616 individuals (350 males and 266 females) from north Indian Punjabi population in Punjab (a north Indian state). Principal component factor analysis was performed to extract orthogonal factors from 13 cardiovascular risk factors. A total of 6 and 5 principal factors accounting for 87 and 84% of the total variance were derived among males and females, respectively. Factor 1 was loaded with glucose and lipids for males; glucose and blood pressures for females. Factor 2 was loaded with obesity in males; glucose and lipid in females. Factor 3 was loaded with blood pressure in males and obesity in females. Therefore, principal component factor analysis has identified a number of cardiovascular risk factors in Punjabi population in north India. This finding indicated the importance of principal component factor analysis to identify the cluster of risk factors for chronic disease like cardiovascular disease.
  Badaruddoza and Anamika Patharia
  Genetic and environmental factors contribute a significant proportion of anthropometric and physiometric variance. However, very limited study have been done on the relative contributions of genetic and environmental components in the variability of anthropometric and physiometric traits in different regions and caste in India. The present study was carried out to examine the heritability patterns of different anthropometric and physiometric traits among three caste populations with two generation in Punjab. A total of 150 families were studied, 50 families each of the three caste such as Brahmin, Khatri and Bania populations which constituted a total of 517 individuals. The anthropometric measurements taken were height, weight, waist circumference, hip circumference, biceps skinfold, triceps skinfold, supra-iliac skinfold and subscapular skinfold. The physiometric variables included measurement of Systolic Blood Pressure (SBP), Diastolic Blood pressure (DBP) and pulse rate. The estimation of heritability has been calculated from the degree of resemblance between relatives. Almost all heritabilities of anthropometric and physiometric phenotypes were found significant with caste populations. Although heritabilities for some phenotypes (WHR, supra-iliac skinfold and pulse rate) were relatively low as compared to other studies in literature. Khatri population has showed greater variability for both generations whereas, Brahmin population for both generations have showed minimum heritability. Since, caste effects were significant for most of the phenotypes in comparison, therefore, it is suggested that inter-caste differences among these castes are more prominent. However, heritabilities are different in magnitudes across the caste groups. Thus, heritability pattern of anthropometric and physiometric phenotypes observed in the present study exhibited significant variations among Punjabi Brahmin, Khatri and Bania populations.
  Sandeep Kaur Brar and Badaruddoza
  Punjabi population as an ethnic group is at high risk for obesity and hypertension. It is believed that these disorders begin in childhood especially in adolescent period. However, no such comprehensive study is available regarding the reference cut-off point for the different anthropometric indicators. Hence, the aim of the present study was to determine the better anthropometric predictor for detecting hypertension in North Indian Punjabi Adolescents. A cross-sectional study with a sample of 1225 (634 boys and 591 girls) adolescents aged 10 to 18 years was carried out. The study considered three anthropometric indicators such as Body Mass Index (BMI), waist circumference and waist to height ratio (WHtR). Sensitivity, specificity, likelihood ratio and odds ratios analysis were used to identify better predictor for detecting hypertension. The sensitivities with confidence interval were in boys BMI: 0.754 (0.633-0.846); waist circumference: 0.766 (0.616-0.872); WHtR: 0.640 (0.520-0.745) and for girls BMI: 0.581 (0.422-0.726); waist circumference: 0.656 (0.468-0.808); WHtR: 0.621 (0.424-0.787). The odds ratios were in boys BMI: 4.26 (2.40-7.55); waist circumference: 4.35 (2.17-8.71); WHtR: 2.36 (1.43-3.89) and for girls BMI: 2.17 (1.15-4.06); waist circumference: 2.98 (1.41-6.32); WHtR: 2.52 (1.17-5.44). The study suggests waist circumference is the better predictor to predict cardiovascular risk factors in adolescent boys as compared to girls and provide a baseline for further study.
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