Hypothesis testing is an important activity of empirical research and evidence-based medicine. A well worked up hypothesis is half the answer to the research question. For this, both knowledge of the subject derived from extensive review of the literature and working knowledge of basic statistical concepts are desirable. The present paper discusses the methods of working up a good hypothesis and statistical concepts of hypothesis testing.

Background:The nutritional status of under fi ve children in urban slums is an important health indicator for assessing the health status of entire population and one of the major predictors of child survival. Objective: A nutritional survey was carried out in September-October 2012 in the fi eld practice area of a medical college in Pimpri, Pune area with an objective to assess the nutritional status of under-fi ve children. Materials and Methods: All the under fi ve students in the fi eld practice area of the medical college were examined. A total of 658 children were examined. Results and Conclusion: It was observed that the prevalence of under weight 34.3% (226/654) (30.7 to 38.0 C.I.), stunting 58.7% (386/654) (54.9 to 62.4 C.I.) and wasting was 16.9%(109/654) (14.0 to 19.7 95% C.I.). The prevalence of under weight 37.6% (114/303) and stunting 61.4% (186/303) was more in girls whereas wasting was more in boys 18%. (64/355)

Background:Baby-friendly Hospital Initiative (BFHI) is a vital intervention supported by World Health Organization and UNICEF to reduce infant mortality and has been included as a part of the curriculum in nursing and medical courses. To know the extent of knowledge of students about BFHI along with its understanding and to find out the gap in their knowledge about BFHI steps.Methods:A descriptive cross sectional study was carried out among the nursing (4th year) and medical students (3rd year MBBS) about ten steps of BFHI by a pretested and predesigned questionnaire. After ethical clearance, information was collected about their awareness and correct understanding concerning ten steps.Results:A total of 102 (51.6%) medical and 96 (48.4%) nursing students comprising of 57 (28.8%) males and 141 (71.2%) females were interviewed, had similar mean score about the ten steps of BFHI. Female respondents 82.3% had best understood the step 2 (training), as compared to males 80.7%. About step 6 (no supplements) 94.3% females and 86% males had well understood the step. Step 7 (rooming in) was known to 85.8% females and 54.4% males respectively. Step 9 (no pacifiers) was known to 80.1% females while among males 56.1% were aware. There was statistically significant difference in their knowledge about the steps 2 and 4 (skin to skin), 5 (counseling), 7, and 9 as females were more aware about these steps than males. The least understood steps in medical and nursing students were step 1 (written policy) (15.7%, 15.6%), step 3 (prenatal education) (27.5%, 29.2%), step 8 (cues) (10.8%, 24%) and step ten (community support) (8.8%, 11.5%) respectively.Conclusions:BFHI is one of the successful international efforts undertaken to promote, protect and support breast feeding. Acquiring knowledge about the same by medical and nursing students is most crucial tool for better practices by them in the future. Continued medical education, workshops and seminars by lactation specialists in addition to the regular teaching about BFHI as part of the curriculum may be considered to ensure and update their knowledge about BFHI.

Background: Recent studies in India indicate rising trends of diabetes even in rural areas. Continuous monitoring of the diabetes situation is required by repeated cross sectional studies in different parts of the country both urban rural to plan control measures. Aim: To estimate the prevalence of Type 2 diabetes in a sample of rural population and explore associations between diabetes and known risk factors. Materials and Methods: A cross sectional study was carried out in 3 villages in the rural field practice area of a medical college in Pune, India. All eligible adults of both genders were included and screened for diabetes by house to house survey. A total of 1000 subjects were examined. Physical examination included measuring height, weight, and waist hip ratio. Blood glucose was estimated using glucometer. Family history of diabetes was also elicited. Data was analysed by descriptive statistics using proportions with 95% confidence intervals. Various associations were explored using using Odds Ratio with 95% confidence intervals as applicable. Results: The prevalence of diabetes mellitus was 9.1% (91/1000; 95% CI 7.4, 11). Most cases of newly detected diabetics were in the age group 36 - 40 years. There was no association between gender and diabetes (OR = 1.38, 95% CI 0.88, 2.17). Overweight status was associated with diabetes: 38.5% (35/91) of diabetics were overweight compared to 18.6% (169/909) of non-diabetics (OR = 2.74, 95% CI 1.69, 4.41). Similarly abnormal waist hip ratio was associated with diabetes: 47.25% (43/91) of diabetics had high waist hip ratio compared with 29.59% (269/909) of non-diabetics (OR = 2.13, 95% CI 1.35, 3.37). Also family history was strongly associated with diabetes: 27.5% (25/91) of diabetics gave positive family history compared with 9.4% (85/909) of non-diabetics (OR = 3.67, 95% CI = 2.13, 6.30). Conclusion: The burden of diabetes was present in the rural population studied. The associated known risk factors were also prevalent and showed strong relationship with diabetes. Diabetes mellitus erstwhile thought to be a disease of urban life appears to be equally prevalent in the rural setting.

No abstract