Our findings demonstrate that antenatal depression in rural women of Western Maharashtra is associated with gender disadvantage factors, especially related to preference for a male child. The agenda to improve maternal mental health should be ultimately linked to address the broader social development goals and gender empowerment.
Low socioeconomic status, bad sanitary practices, nutritional status and weaning practices significantly influence the prevalence of recurrent diarrhoea.
Background:The most recent estimates from World Health Organization (WHO) reveal that 47.8% of global blindness is due to cataract. Cataract has been documented to be the most significant cause of bilateral blindness in India. The most recent estimates from WHO reveal that 47.8% of global blindness is due to cataract and in south Asia region which includes India, 51% of blindness is due to cataract. In India cataract is the principal cause of blindness accounting for 62.6% cases of blindness. The key to the success of the Global Vision 2020: The right to sight initiative is a special effort to tackle cataract blindness which includes estimation of magnitude of the problem and understanding factors associated with it. Therefore, a study was conducted in the hospital to estimate the magnitude of cataract and study various epidemiological factors associated with it.Materials and Methods:A cross-sectional study was conducted in a tertiary health center in rural area. Total 746 patients who availed services from ophthalmology department during study period were included in the study and relevant data was collected from them. Data analysis was done by percentages, proportions, and tests of significance (Chi-square test).Results:Out of 746 patients, 400 (53.6%) were suffering from cataract. Senile cataract was the most common cause (54%). Fifty-five percent patients were in the age group of 60-80 years and majority of them were from low socioeconomic strata.Conclusion:The prevalence of cataract in a medical college hospital in rural area was 53.6%. Age, sex, and educational status were significantly associated with cataract.
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