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Background: Ageing is defined as a process of deterioration in the functional capacity of an individual that results from structural changes, with the advancement of age. Globally the geriatric population has increased from 8% in 2012 to 8.5% in 2015 and expected to rise by 22% in 2050. Hence we planned to study morbidity profiles and predictors of health-seeking behaviour among the elderly population in Ormanjhi, Ranchi. Methodology: A community based cross sectional study was conducted in Ormanjhi, Ranchi, Jharkhand for a period of six months (March-August 2018). The study was done among 206 geriatric populations fulfilling the eligibility criteria, selected by cluster sampling and those not giving their consent were excluded from the study. Data collected were entered in Microsoft Excel and analysis was done on Statistical Package for Social Sciences (SPSS) version 20.0. Results: A total of 206 geriatric populations fulfilling the study criteria, were enrolled during the study. The majority of the age group was found between 60-69 years (71.8%). Around 202 (98.1%) of which resided in rural areas, nearly half 102 (49.5%) depended on pension for livelihood and 108 (52.4%) were illiterate. Two-fifth of the study subjects (40.3%) consulted a government doctor if any health problems occurred followed by 30.5% preferred a private doctor and 20.1% consulted unqualified practitioners. Most of the study participants (64.5%) did not seek medical care due to financial reasons followed by 14.5% considered it a minor illness than 13% complained that health facility far away and 8.1% considered that old age itself as a disease. Non tribal ethnicity, participants who had their own source of income and co-morbidity were significantly associated with health seeking behaviour. Conclusion: Most participants in this study suffered from morbidities which also affect their quality of life. It was also observed that most of them were not dependent on others for their daily activities. Health seeking behaviour was found to be appropriate in nearly two third (70%) of elderly subjects in Ranchi, Jharkhand.
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Background: Improving the quality of life of the geriatric population along with maintaining their health and promoting social participation still poses a major public health challenge in the twenty-first century. Hence, we planned to measure the quality of life (QOL) in each domain namely physical, psychological, social, and environmental using the world health organization quality of life brief version (WHO QOL-BREF) questionnaire and to assess the predictors of QOL among the elderly population. Methodology: A community-based cross-sectional study was conducted in Ormanjhi, Ranchi, Jharkhand for a period of 6 months. The study was carried out among 206 geriatric populations fulfilling the eligibility criteria. The data collected were entered in MS Excel and analyzed using SPSS version 20. The QOL scores were expressed in terms of mean and standard deviation, and the difference between mean scores was tested by using student t-test/analysis of variance (ANOVA). The predictor associated with QOL was done by multiple linear regression analysis. P value less than 0.05 was considered statistically significant. Results: A total of 206 geriatric people fulfilling the study criteria were enrolled during the study. The majority of the people were of the age between 60 and69 years (71.8%). Most of them 202 (98.1%) resided in rural areas, 108 (52.4%) of them were illiterate by education, and nearly half 102 (49.5%) depended on pension for livelihood. Nontribal ethnicity, backward category, illiteracy, low socio-economic status, nuclear family, elderly person having no own source of income, currently living alone, person having more co-morbidity, and less activities of daily living (ADL) score were significantly associated with low QOL score. Conclusion: Overall QOL was good to excellent in Ranchi, Jharkhand. We concluded that QOL is affected by many different factors.
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Background: Coronavirus disease (COVID-19) vaccination becomes a crucial weapon in the pandemic's control. Two vaccines, Covishield and Covaxin, are approved in India to vaccinate against the virus. Hence, the present study was done to determine the factors associated with the development of adverse events after taking the COVID-19 vaccine in a tribal state of India. Materials and Methods: This was a cross-sectional analytical study. All persons who were willing to participate in our study and had received the first or second dose of the COVID-19 vaccine from January 1 to March 31, 2021, were included. We got 1497 complete responses via (free, web-based Google Docs Editors suite offered by google, Founders- Larry Page Sergey Brin. Menlo Park, California, United States). So our final sample size came out to be 1497 in which analysis was done. The data was compiled in MS excel sheets (Microsoft version 2013, Microsoft Corporation, Redmond, Washington, United States) and a template was generated which was further analyzed in SPSS version 20 (version 25.0; IBM Corp., Armonk, NY, USA). Results: The total number of respondents who participated in the surveillance of adverse events following immunization (AEFI) was 1497. Among them, a majority have taken the Covishield vaccine followed by Covaxin. The majority of participants were female of age group less than 30 years and above 18 years with a mean age of 33.63 ± 51.51. The most common AEFI was pain at the site of injection, after the first and second dose followed by fever after the first and second dose within 24 h following immunization. Conclusion: We conclude that factors like the type of vaccine, gender, and participants who have allergies have a higher risk of presenting the adverse events after the COVID-19 vaccination.