An epidemiological study of health and morbidity profile among geriatric population in field practice area of a Medical College in Navi Mumbai
DOI:
https://doi.org/10.47203/IJCH.2021.v33i02.008Keywords:
Cross-Sectional Studies, Healthy Aging, Chronic Diseases, Multivariate Analysis, Delivery of Health Care, Sleep DeprivationAbstract
Background: Geriatric population is a very vulnerable group, potentially can suffer many kinds of illnesses “ALL AT ONCE”. There is a need for proper planning to tackle the social, financial, psychological and physical problems encountered during old age. In India, proportion of old age population is estimated to rise up to 19% by 2050.[1] Objectives: To study the socio demographic and health profile, morbidity prevalence and patterns of various diseases seen in the geriatric age group. To assess the health seeking behavior and the demand for healthcare services in geriatric population. Methodology: This is an epidemiological community based cross-sectional descriptive study on 240 participants aged 60 years and above. Study subjects were interviewed using a questionnaire followed by taking thorough health and morbidity history. General physical examination and Systemic examination was done. Morbidity pattern was analyzed and associations with various determinants were derived. Results: Out of the total 240 subjects, 208 (86.67%) had at least one morbidity and 32 (13.33%) of them dint have any. Association of different parameters with presence or absence of “presenting symptoms, morbidity and multi system morbidity” was analyzed. Variables significantly positive (P <0.25) in univariate analysis were included in multivariate analysis and binary logistic regression model was applied. Lack of sleep, reduced appetite, nutritional deficiency, low literacy, reduced physical activity and history of addictions all have significant association (P <0.05) with either physical symptoms or systemic morbidity. Conclusion: These risk factors worsen the natural aging process and hamper the process of healthy ageing. Measures must be taken to reduce these modifiable risk factors at younger age in order to prevent multi-factorial causation of chronic diseases in old age as we’re heading towards a demographic shift soon.
Downloads
References
India’s Aging Population. Population reference bureau. Available from: http://www.prb.org/Publications/Reports/2012/india-older-population.aspx [Accessed on 20/06/21]
The Future POPULATION of India, A Long-range Demographic View. Available from: http://www.indiaenvironmentportal.org.in/files/futurepopulationofindia.pdf [Accessed on 20/06/21]
WHO Newsroom. Ageing and health. Available from: https://www.who.int/news-room/fact-sheets/detail/ageing-and-health [Accessed on 20/06/21]
Joshi K, Kumar R, Avasthi A. Morbidity profile and its relationship with disability and psychological distress among elderly people in Northern India. International Journal of Epidemiology. 2003 Dec 1;32(6):978-87.
Srinivasan K, Vaz M, Thomas T. Prevalence of health related disability among community dwelling urban elderly from middle socioeconomic strata in Bangaluru, India. Indian Journal of Medical Research. 2010 Apr 1;131(4).
Bhatia SP, Swami HM, Thakur JS, Bhatia V. A study of health problems and loneliness among the elderly in Chandigarh. Indian Journal of Community Medicine. 2007 Oct 1;32(4):255.
Hameed S, Kumar N, Naik PM, Sachidananda K, Prasanna KS. Morbidity pattern among the elderly population in a rural area of Dakshina Kannada, Karnataka-a cross sectional study. National Journal of Community Medicine. 2015 Apr;6(2):222-5.
Yesavage JA. Geriatric depression scale. Psychopharmacol Bull. 1988 Jan 1;24(4):709-11.
Saleem SM. Modified Kuppuswamy socioeconomic scale updated for the year 2019. Indian Journal of Forensic and Community Medicine. 2019 Jan;6(1):1-3.
Physical Activity Guidelines Advisory Committee. Physical Activity Guidelines for Americans. Washington (DC): US Department of Health and Human Services; 2008. p. 15–34.
How Much Sleep Do I Need? Available from: https://r.search.yahoo.com/_ylt=Awr9Ik08.VFfLNYAJlhXNyoA;_ylu=Y29sbwNncTEEcG9zAzEEdnRpZAMEc2VjA3Nj/RV=2/RE=1599236541/RO=10/RU=https%3a%2f%2fwww.webmd.com%2fsleep-disorders%2fsleep-requirements%23%3a~%3atext%3dMost%2520adults%2520need%25207%2520to%25209%2520hours%252C%2520although%2cneed%2520several%2520more%2520hours%2520of%2520sleep%2520than%2520usual./RK=2/RS=tKSs1rk3E.fIiPnzInchDVUtXPU- [Accessed on 20/06/21]
WHO. Healthy diet. Available from: https://www.who.int/news-room/fact-sheets/detail/healthy-diet [Accessed 26June 2021]
Parker MG, Thorslund M. Health trends in the elderly population:getting better and getting worse. Gerontologist. 2007;47(2):150–8.
Lawton MP. Assessing the competence of older people. In: Kent D, Kastenbaum R, editors. Research, planning and action for the elderly. Sherwood: Behavioral Publications; 1972.
Pandita AK, Roy D, Saxena V. A study on morbidity pattern among geriatric population of an urban slum, Dehradun, India. Indian Journal of Community Health. 2017;29(4).
Singh J, Saoji AV, Kasturwar NB, Pitale SP, Deoke AR, Nayse JG. Epidemiological study of diabetes amongst geriatric population in an urban slum, Nagpur. National Journal of Community Medicine. 2011;2(2):204-8.
Radhakrishnan, Shankar; Balamurugan, Sangeetha. Prevalence of diabetes and hypertension among geriatric population in a rural community of Tamil Nadu. Indian Journal of Medical Sciences. 2013, 67( 5/6): 130-136.
RP Thakur, A Banerjee, and VB Nikumb. Health Problems Among the Elderly: A Cross-Sectional Study. Ann Med Health Sci Res. 2013; 3(1): 19–25. doi: 10.4103/2141-9248.109466
Shraddha K, Prashantha B, Prakash B. Study on morbidity pattern among elderly in urban population of Mysore, Karnataka, India. International Journal of Medicine and Biomedical Research.2012;1(3):215-223.
Purty Anil Jacob, BAZROY Joy, KarMalini, VasudevanKavita,VELIATH Anita, PANDA Purushottam. Morbidity Pattern among the Elderly Population in a rural area of Tamil Nadu, India. Turkish Journal of Medical Sciences. 2005;36(1)
Chandra Prakash Pal, Pulkesh Singh, Sanjay Chaturvedi, Kaushal Kumar Pruthi, and Ashok Vij. Epidemiology of knee osteoarthritis in India and related factors. Indian J Orthop. 2016 Sep; 50(5): 518–522. doi: 10.4103/0019-5413.189608
Prakash R, Choudhary SK, Singh US. A study of morbidity pattern among geriatric population in an urban area of Udaipur, Rajasthan. Indian J Community Med. 2004 Jan 1;29(1):35-40.
Hahnel E, Lichterfeld A, Blume-Peytavi U, Kottner J. The epidemiology of skin conditions in the aged: a systematic review. Journal of tissue viability. 2017 Feb 1;26(1):20-8.
Lena A, Ashok K, Padma M, Kamath V, Kamath A. Health and social problems of the elderly: A cross-sectional study in Udupi Taluk, Karnataka. Indian journal of community medicine: official publication of Indian Association of Preventive & Social Medicine. 2009 Apr;34(2):131.
Deepak Sharma, Salig Ram Mazta, and AnupamParashar.Morbidity Pattern and Health-seeking Behavior of Aged Population residing in Shimla Hills of North India: A Cross-Sectional Study. J Family Med Prim Care. 2013 Apr-Jun; 2(2): 188–193
Banjare P, Pradhan J. Socio-economic inequalities in the prevalence of multi-morbidity among the rural elderly in Bargarh District of Odisha (India). PLoS ONE 2014;9(6):e97832.
Hien H, Berthe A, Drabo M, et al. Prevalence and patterns of multimorbidity among the elderly in Burkina Faso: cross-sectional study. Trop Med Int Health 2014;19(11):1328-1333.
Akriti Gupta, SangeetaGirdhar, Anurag Chaudhary, Jasneet Singh Chawla, PushapindraKaushal. Patterns of multimorbidity among elderly in an urban area of North India. J. Evolution Med. Dent. 2016;5(19)
Wang R, Yan Z, Liang Y, Tan EC, Cai C, Jiang H, Song A, Qiu C. Prevalence and patterns of chronic disease pairs and multimorbidity among older chinese adults living in a rural area. PLOS ONE 2015;10(9):e0138521.
Gambhir IS, Chakrabarti SS, Sharma AR, Saran DP. Insomnia in the elderly—a hospital-based study from North India. Journal of Clinical Gerontology and Geriatrics. 2014 Dec 1;5(4):117-21.
Marcum ZA, Zheng Y, Perera S, Strotmeyer E, Newman AB, Simonsick EM, Shorr RI, Bauer DC, Donohue JM, Hanlon JT, Study HA. Prevalence and correlates of self-reported medication non-adherence among older adults with coronary heart disease, diabetes mellitus, and/or hypertension. Research in Social and Administrative Pharmacy. 2013 Nov 1;9(6):817-27.
Kang SJ, Jung SI. Age-related morbidity and mortality among patients with COVID-19. Infection & chemotherapy. 2020 Jun;52(2):154.
Vollset SE, Goren E, Yuan CW, Cao J, Smith AE, Hsiao T, Bisignano C, Azhar GS, Castro E, Chalek J, Dolgert AJ. Fertility, mortality, migration, and population scenarios for 195 countries and territories from 2017 to 2100: a forecasting analysis for the Global Burden of Disease Study. Lancet 2020; 396: 1285–306.
Lasker J, Collom E, Bealer T, Niclaus E, Young Keefe J, Kratzer Z, Baldasari L, Kramer E, Mandeville R, Schulman J, Suchow D. Time banking and health: the role of a community currency organization in enhancing well-being. Health promotion practice. 2011 Jan;12(1):102-15.
Downloads
Published
How to Cite
License
Copyright (c) 2021 Indian Journal of Community Health
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
