SOCIO DEMOGRAPHIC FACTORS IN RELATION TO CHRONIC ILLNESS AMONG ELDERLY IN INDIA: EVIDENCES FROM DLHS-4 DATA.

Jai Kishun

Abstract


Introduction: Aging is a natural phenomenon associated with deteriorating health condition. Chronic diseases in elderly people hindering their
physical functioning and psychological well-being. The rapid growth in the elderly population poses social and financial challenges. In this present
study, it is try assess the associations of socio demographic, personal habits with chronic diseases among rural and urban areas of the elderly in
India.
Methodology: District Level Household Survey (DLHS) - 4 data (2012-13) covered 171739 elderly people aged 60 years and above from 21
States/UTs of India. Of the total 40334 (24.8) elderly were reported to suffer from some kind of chronic illness during last one year including rural
and urban areas. Bivariate analysis along with chi-square test were performed for associations between socio-demographic, personal habit and
Chronic illness, binary and multiple logistic regression were performed to examine risk between exposure and outcome variables.
Results: Almost 25% of elderly suffers from different types of chronic illness in India. The prevalence of chronic illness were found higher in
urban area among all the socio demographic characteristics and personal habits. Prevalence of ever use chew tobacco was 21.6, ever smoke
tobacco was 25.0 and ever drink alcohol was 24.8% respectively. Unadjusted odds ratio shows male were 10% less likely to have chronic illness
(CI= 0.88-0.92, p<0.001) than the female. Risk of chronic illness among general caste were higher than SC/ST/OBC. As compared to reference
category (Hindu), Sikh (OR-1.29, CI-1.24-1.34, p=<0.001) and Muslim (OR-1.20, CI-1.14-1.25, p=<0.001) were more likely to have chronic
illness. Adjusted odds ratio shows, risk of chronic illness among upper SES, higher years of schooling, marital status as separated/divorcee etc.)
were higher as compared to their other respective categories. More risk were also found in ever smoking habits (OR-1.23, CI-1.18-1.28, p=<0.001)
and ever use alcohol (OR-1.10, CI-1.05-1.14, p=<0.001) while in ever chew tobacco habits shows less likely to have chronic illness as compare to
never use chew tobacco.
Conclusions: An effective social and policy guideline for regular assessment of elderly health, especially in urban areas, females, higher SES
group, higher age group along with their preventive and curative measures is needed . Government of India launched a number of program, their
implementation needs to be strengthen.


Keywords


Elderly, Chronic disease, Logistic regression, DLHS-4, India

Full Text:

PDF

References


Central Statistics Office Ministry of Statistics and Programme Implementation, Government of India, Elderly in India (2016), www.mospi.gov.in

United Nations Department of Economic and Social Affairs, Population Division (2008) World Population Prospects (2008 Revision).

Swami, H. M., Bhatia, V., Dutt, R., & Bhatia, S. P. S. (2002). A community based study of the morbidity profile among the elderly in Chandigarh, India. Bahrain Medical Bulletin, 24(1), 16–20.

Guha, R. (1994). Morbidity related epidemiological determinants in Indian Aged: An Overview. In Public health implications of ageing in India (pp. 114–25). New Delhi: Indian Council of Medical Research.

Hughes, M., & Gove, W. R. (1981). Living alone, social integration, and mental health. American Journal of Sociology, 87(1), 48–74.

Shah, B., & Prabhakar, A. K. (1997). Chronic morbidity profile among elderly. The Indian Journal of Medical Research,106, 265–272.

Chandramouli, C., & General, R. (2011). Census of India 2011. Provisional Population Totals. New Delhi: Government of India.

Mini GK, Thankappan KR. Pattern, correlates and implications of non-communicable disease multimorbidity among older adults in selected Indian states: a cross-sectional study BMJ Open 2017;7:e013529. doi: 10.1136/bmjopen-2016-013529

Pati, S., Agrawal, S., Swain, S., Lee, J. T., Vellakkal, S., Hussain, M. A., & Millett, C. (2014). Non communicable disease multimorbidity and associated health care utilization and expenditures in India: cross-sectional study. BMC health services research, 14(1), 451.

Pati, S., Swain, S., Hussain, M. A., Kadam, S., & Salisbury, C. (2015). Prevalence, correlates, and outcomes of multimorbidity among patients attending primary care in Odisha, India. The Annals of Family Medicine, 13(5), 446-450.

Vadrevu, L., Kumar, V., & Kanjilal, B. (2016). Rising challenge of multiple morbidities among the rural poor in India—a case of the Sundarbans in West Bengal. International Journal of Medical Science and Public Health.

Purohit CK, Sharma R. A study of general health status of persons aged 60 years and above in the rural health training centre area, Naila. Indian J Med Res. 1976;64:202–10.

Gupta R, Sharma S, Gupta VP, et al. Smoking and alcohol intake in a rural Indian population and correlation with hypertension and coronary heart disease prevalence. J Assoc Physicians India. 1995;43:253–8.

Goswami, A., Reddaiah, V. P., Kapoor, S. K., Singh, B., Dwivedi, S. N., & Kumar, G. (2005). Tobacco and alcohol use in rural elderly Indian population. Indian journal of psychiatry, 47(4), 192–197. doi:10.4103/0019-5545.43050

Boutayeb A, Boutayeb S, Boutayeb W. Multi-morbidity of non-communicable diseases and equity in WHO Eastern Mediterranean countries. Int J Equity Health 2013;12:60.

Kulkarni RS, Shinde RL. Depression and Its Associated Factors in Older Indians: A Study Based on Study of Global Aging and Adult Health (SAGE)-2007. J Aging Health 2014;27:622-49.

Phaswana-Mafuya N, Peltzer K, Chirinda W, Musekiwa A, Kose Z, Hoosain E. Self-reported prevalence of chronic non-communicable diseases and associated factors among older adults in South Africa. Global Health Action 2013:6.

Rahman MM, Kopec JA, Cibere J, Goldsmith CH, Anis AH. The relationship between osteoarthritis and cardiovascular disease in a population health survey: a cross-sectional study. BMJ Open 2013;3:e002624.

Wu F, Guo Y, Chatterji S, Zheng Y, Naidoo N, Jiang Y, et al. Common risk factors for chronic non-communicable diseases among older adults in China, Ghana, Mexico, India, Russia and South Africa: the study on global AGEing and adult health (SAGE) wave 1. BMC Public Health 2015;15:88.

WHO Report on the Global Tobacco Epidemic; 2015. Available from: http://www.apps.who.int/iris/bitstream/10665/178574/1/9789240694606_eng.pdf?ua=1&ua=1.

Global Adult Tobacco Survey; 2010. Available from: http://www.searo.who.int/tobacco/documents/2010-pub2.pdf?ua=1.

Adaji, E. E., Ahankari, A. S., & Myles, P. R. (2017). An investigation to identify potential risk factors associated with common chronic diseases among the older population in India. Indian journal of community medicine: official publication of Indian Association of Preventive & Social Medicine, 42(1), 46.

Ahmad N. Is coronary heart disease rising in India? A systematic review based on ECG defined coronary heart disease. Heart 2005;91:719-25.

De A, Podder G, Adhikari A, Haldar A, Banerjee J, De M. Comparative study of risk factors of cardiac diseases among urban and rural population. Int J Hum Genet 2013;13:15-9.

Diederichs C, Berger K, Bartels DB. The measurement of multiple chronic diseases-A systematic review on existing multimorbidity indices. J Gerontol Series A: Biol Sci Med Sci 2010;66A:301-11.


Refbacks

  • There are currently no refbacks.