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Background: The prevalence of women with type-2 diabetes mellitus in Karnataka is 22.04%. Many people are diagnosed type-2 diabetes in their teens or early 20s. And with advancing age, the risk of getting type-2 diabetes goes up too, especially if you don’t change any of the diabetes risk factors like your weight and physical activity level. Women who get type-2 diabetes are at greater risk than men of cardiovascular disease and blindness. The objective of the study was to study the risk profile amongst diabetic females.Methods: The hospital-based descriptive observational study was carried out in 75 non-insulin-dependent diabetes mellitus (NIDDM) women at Chalmeda Anand Rao Institute of Medical Sciences, Karimnagar from June 2010 to December 2010. Detailed history and anthropometric assessment was done and data analysed with SPSS software.Results: Majority of the diabetic women were from 40-50 years age group i.e. 33 (44%). Mean age was seen as 52±12.4 years. 57 women having sedentary lifestyle (76%). Mean BMI was found to be 24.58±5.27 kg/m2. Waist circumference was 83.42±9.35 cm. Hip circumference was 95.05±9.1 cm and waist/hip ratio was 0.877±0.041.Conclusions: Increasing age, sedentary lifestyle, obesity especially central and obstetric events were found to be important risk factors in our study.
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Background: Rational prescribing of the medicines is an essential skill required by all the doctors. Interns are not prepared or confident in rational prescription either because of inadequate training or knowledge is not retained by the time they come to internship or due to fast change in the concepts or protocols in pharmacology. The objectives of the study were to introduce and assess a short sensitization and training for interns regarding clinical pharmacology and therapeutics (CPT).Methods: It was a quasi-experimental type of interventional study done on 30 pediatrics interns. A short sensitization and training was given regarding CPT using flipped classroom model. Pre-test and post-test was conducted to know the effectiveness of the sensitization/training. Students’ opinion was also taken regarding the training and incorporation of similar training in other departments.Results: The mean percentage scores of the objective type questions in the pretest was 40.6±3.25 which increased significantly (p<0.05) to 74±2.95 in post-test. The mean percentage scores of the problem solving type questions in the pretest was 30.78±5.25 which increased significantly (p<0.05) to 65.21±4.65 in post-test.Conclusions: The sensitization and training was effective and there was overall satisfaction of conduct of such training among pediatrics interns. Further detailed research has to be conducted in different departments and faculties’ opinion regarding incorporation of CPT training and feasibility has to be considered before we recommend such training during internship.
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Background: Unmet need for family planning, which refers to the condition in which there is the desire to avoid or post-pone child bearing, without the use of any means of contraception, has been a core concept in the field of international population. This study aimed to determine the factors affecting for unmet need for family planning among married women in the age group of 15-49 years of rural areas of Kalaburagi. By multiple logistic regression model and stepwise forward logistic regression model to estimate the parameters of the model, odds ratios and log likelihood values are computed. Testing of hypothesis of goodness of fit of the model is carried out by Hosmer and Lemeshow test.Methods: 600 married women in the age group of 15-49 years were the study participants who were selected randomly from the 7 taluks of rural areas by using multistage sampling techniques.Results: Total of 26 explanatory variables are included in the model, in which only 5 explanatory variables (19.00%) are found to be significant regression coefficients i.e., education of married women, abortion, physical deformities baby, ideal gap between children, contraceptive used in past normal level of significance (p<0.05).Conclusions: The test statistic of all five models, only model 4 and model 5 fit well with response variable for the rural sample data.