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Abstract: Trailing trot of life in urban slum in Kolkata
Background: Human sustenance in metro-slums is not only associated with social, civic & economic burden but often with the myriad of chronic illnesses. Thinking through this trend, it was decided to study the quality of life of residents of a slum in Kolkata in terms of socio-civic facilities and chronic health problems during Feb-Apr 2022.
Methods: A descriptive, cross-sectional study, conducted by data collection through questionnaire that included socio-demographic, environmental and medical data. Diagnosis of chronic diseases was ascertained by review of subject’s recent medical documents along with basic physical &clinical examination.
Result: Age-sex, gender quotient and family-size of the community are comparable to Indian statistics. 88% were literate, 48.3% employed and 92% belonged to lower socio-economic status. Rented houses, inadequate water, unhygienic toilets, improper waste disposal, over-shooting drains and unhealthy surroundings reflected poor municipal services. 31.4% had single chronic disease & 14.8% had multi-morbidity. Hypertension, Tuberculosis, Alcohol disorder, Hypercholesterolemia and Diabetes were common. Clustering of Hypertension, Alcohol disorder & Hypercholesterolemia found common. Illiterate, smoker, alcoholic men of 50 years & above from lower socio-economic group were significantly affected by chronic diseases.
Conclusion: Improvement in civic services, upliftment of support for income generation with medical care for affected, are recommended.
"Trailing trot of life in urban slum in Kolkata", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 10, page no.556 - 563, October-2022, Available :http://www.ijrti.org/papers/IJRTI2210075.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator