RESUMO
Background: Mortality statistics is important for epidemiological purposes to find any unusual rise in deaths for investigation of the causes so as to take public health action at an early stage. Cause of death statistics from hospitals are routinely amalgamated along with mortality statistics from other sources to constitute essential statistics on the health of a population. This study was done to understand the mortality pattern in a tertiary care teaching hospital and to undertake preventive action as much as possible. Methods: A retrospective hospital based study was done with all the medical records of patients who died in Hangal Sri Kumareshwar hospital and medical research centre in the year 2022, attached to S. N. Medical College, Bagalkot, Karnataka. After IRB, the medical records were analyzed to study the pattern of disease causing deaths which were classified under ICD 10th revision. Age, sex, month of admission, place of residence and underlying cause of death was used for analysis using chi square test and percentages. Results: Out of 501 deaths, 316 (63.07%) were male and 185 (36.93%) were female. Majority of the deaths 152 (30.34%) occurred between the ages of 41 to 60 years. Non communicable diseases contributed to 71.05% of deaths and communicable diseases to 28.95% of deaths. Conclusions: Continuation of the maternal and child health program and effective implementation of the National health programs to overcome non communicable diseases can reduce avoidable premature mortality in the population.
RESUMO
Introduction: Obesity has reached epidemic proportions globally, with at least 2.8 million people dying each year as a result of consequences of overweight or obesity. The study was conducted to estimate the prevalence of Overweight and obesity among 20-40 years old residing in an urban area in North Karnataka and to study the risk factors affecting overweight and obesity. Methods: A Cross Sectional Study was done among adults aged 20-40 years in urban field practice area in North Karnataka in 2017-18. The sample size was calculated to be 207. Selection of study subjects was done using systematic random sampling. Data regarding socio-demographic profile and anthropometric measurements were collected and BMI calculated. Results: The prevalence of overweight was 45.9% and obesity was 11.1%. Females had more prevalence of overweight (46.8%) and obesity (13.8%) as compared to males. overweight was more in sedentary workers (50%).There was a high prevalence of obesity among participants with mixed diet(82.6%) and 63.1% of participants eating junk food were overweight and 69.5% were obese. The prevalence of overweight was more among participants with class IV socioeconomic status (45.3%) followed by class III (31.6%). Conclusion: There is a growing prevalence of overweight and obesity in urban areas that calls for an urgent need to prevent the further consequences and decrease the burden.