Distribution of chronic disease mortality and deterioration in household socioeconomic status in rural Bangladesh: An analysis over a 24-year period

International Journal of Epidemiology

Volumn 44, Issue 6, 2015, Pages 1917-1926

  Khan, Jahangir A M ^a,c,d   Trujillo, Antonio J ^b   Ahmed, Sayem ^a   Siddiquee, Ali Tanweer ^a   Alam, Nurul ^a   Mirelman, Andrew J ^b   Koehlmoos, Tracey Perez ^a,e   Niessen, Louis Wilhelmus ^b,c   Peters, David H ^b  

^a INTERNATIONAL CENTRE FOR DIARRHOEAL DISEASE RESEARCH   (Bangladesh)

^b JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^c LIVERPOOL SCHOOL OF TROPICAL MEDICINE   (United Kingdom)

^d KAROLINSKA INSTITUTE   (Sweden)

^e UNIFORMED SERVICES UNIVERSITY OF THE HEALTH SCIENCES   (United States)

Author keywords

Chronic disease; Mortality; Poverty; Social class

Indexed keywords

CHRONIC WASTING DISEASE; CONFIDENCE INTERVAL; DEMOGRAPHY; HOUSEHOLD SURVEY; LOW INCOME POPULATION; MORTALITY; POVERTY; RURAL AREA; SOCIOECONOMIC STATUS;

ADULT; ARTICLE; ASSOCIATION; BANGLADESH; CAUSE OF DEATH; CEREBROVASCULAR ACCIDENT; CHRONIC DISEASE; CHRONIC OBSTRUCTIVE LUNG DISEASE; DEMOGRAPHY; DETERIORATION; DIABETES MELLITUS; FEMALE; HOUSEHOLD; HUMAN; HYPERTENSION; MAJOR CLINICAL STUDY; MALE; MORTALITY; MORTALITY RATE; POVERTY; PRIORITY JOURNAL; RURAL POPULATION; SOCIAL STATUS; AGED; FAMILY SIZE; HEART DISEASE; LONGITUDINAL STUDY; MIDDLE AGED; NEOPLASM; ODDS RATIO; SOCIAL CLASS; STATISTICS AND NUMERICAL DATA; YOUNG ADULT;

BANGLADESH; MATLAB;

ADULT; AGED; BANGLADESH; CHRONIC DISEASE; DIABETES MELLITUS; FAMILY CHARACTERISTICS; FEMALE; HEART DISEASES; HUMANS; HYPERTENSION; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; NEOPLASMS; ODDS RATIO; POVERTY; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; RURAL POPULATION; SOCIAL CLASS; STROKE; YOUNG ADULT;

EID: 84962697294     PISSN: 03005771     EISSN: 14643685     Source Type: Journal    
DOI: 10.1093/ije/dyv197     Document Type: Article

References (39)

1. Folland S, Goodman A, Stano M. The Economics of Health and Health Care. Upper Saddle River, NJ: Pearson Prentice Hall, 2007.
2. Sen B. Drivers of escape and descent: changing household fortunes in Rural Bangladesh.World Dev 2003;31:513-34.
3. Stringhini S, Rousson V, Viswanathan B, Gedeon J, Paccaud F, Bovet P. Association of socioeconomic status with overall and cause specific mortality in the Republic of Seychelles: results from a cohort study in the african region. Plos One 2014;9:7.
4. World Bank. World Development Indicators. Washington, DC: World Bank, 2011.
5. Bhuiya A. Making health research more pro-poor. In: Poverty, Social Determinants and Health Research. London: Global Forum for Health Research, 2009.
6. World Health Organization. Global Burden of Disease. Geneva: World Health Organization, 2004.
7. Gray A. Population ageing and health care expenditure. Aging Horizons 2005;2:15-20.
8. SuhrckeM, Nugent R, Stuckler D, Rocco L. Chronic Disease: An Economic Perspective. London: Oxford Health Alliance, 2006.
9. Abegunde DO, Mathers CD, Adam T, Ortegon M, Strong K. The burden and costs of chronic diseases in low-income and middle-income countries. Lancet 2007;370:1929-38.
10. Bharati S, Pal M, Bhattacharya BN, Bharati P. Prevalence and causes of chronic energy deficiency and obesity in Indian women. Hum Biol 2007;79:395-412.
11. Bonu S, Rani M, Peters DH, Jha P, Nguyen SN. Does use of tobacco or alcohol contribute to impoverishment from hospitalization costs in India? Health Policy Plan 2005;20:41-49.
12. van Doorslaer E, O'Donnell O, Rannan-Eliya RP Somanathan A, Adhikari SR, Garg CC et al. Effect of payments for health care on poverty estimates in 11 countries in Asia: an analysis of household survey data. Lancet 2006;368:1357-64.
13. World Health Organization. Assessing National Capacity for the Prevention and Control of Non-communicable Diseases. Report of the 2010Global Survey. Geneva: WorldHealthOrganization, 2012.
14. Mathers C, Bernard C, Iburg K et al. The Global Burden of Disease in 2002: Data Sources, Methods and Results. Geneva: World Health Organization, 2003.
15. World Health Organization. Noncommunicable Diseases Country Profiles 2011. Geneva: WorldHealthOrganization, 2011.
16. Levesque JF, Haddad S, Narayana D, Fournier P. Affording what's free and paying for choice: comparing the cost of public and private hospitalizations in urban Kerala. Int J Health Plann Manage 2007;22:159-74.
17. Abegunde DO, Stanciole AE. The economic impact of chronic diseases: how do households respond to shocks? Evidence from Russia. Soc Sci Med 2008;66:2296-307.
18. Cheng L, Tan L, Zhang L et al. Chronic disease mortality in rural and urban residents in Hubei Province, China, 2008-2010. BMC Public Health 2013;13:713.
19. Clark AM, DesMeules M, Luo W, Duncan AS, Wielgosz A. Socioeconomic status and cardiovascular disease: risks and implications for care. Nat Rev Cardiol 2009;6:712-22.
20. Subramanian, SV, Subramanyam MA. Corsi DJ, Davey Smith G. Rejoinder: Need for a data-driven discussion on the socioeconomic patterning of cardiovascular health in India. Int J Epidemiol 2013;2:1438-43.
21. Narayan KMV, Ali MK. Commentary: Shielding against a future inferno: the not-so-problematic discourse on socioeconomic status and cardiovascular health in India. Int J Epidemiol 2013;42:1426-29.
22. Shaikh K, Mostafa G, Sarder AM, Wojtyniak B. Health and Demographic Surveillance System-Matlab. Dhaka: icddr, b, 1984.
23. Mostafa G, Shaikh K, Ginneken JK van, Sarder AM. Health and Demographic Surveillance System-Matlab. Dhaka; icddr, b, 1998.
24. Icddr, B. Health and Demographic Surveillance System-Matlab. Dhaka: icddr, b, 2007.
25. World Health Organization. Management of the Child with a Serious Infection or a Severe Malnutrition: Guidelines for Care of the First Referral Level in Developing Countries. Geneva: World Health Organization, 2000.
26. Chowdhury HR, Thompson S, Ali M, Alam N, Yunus M, Streatfield PK. Causes of neonatal deaths in a rural subdistrict of Bangladesh: implications for intervention. J Health Popul Nutr 2010;28:375-82.
27. Bentzen N (ed). WONCA Dictionary of General/Family Practice. Trondheim, Norway: WONCA International Classification Committee, 2003.
28. Filmer D, Pritchett LH. Estimating wealth effects without expenditure data-or tears: an application to educational enrollments in states of India. Demography 2001;38:115-32.
29. Gwatkin D, Wagstaff A, Yazbeck A. Reaching the Poor with Health, Nutrition, and Population Services: What Works, What Doesn't, and Why. Washington, DC: World Bank, 2005.
30. O'Donnell O, Van Doorslaer E, Wagstaff A, Lindelow M. Analyzing Health Equity Using Household Survey: Data A Guide to Techniques and Their Implementation. Washington, DC: World Bank, 2008.
31. Kakwani NC. On the measurement of tax progressivity and redistributive effect of taxes with application to horizontal and vertical equity. Adv Econometr 1984;3:149-69.
32. Yao S. On the decomposition of Gini coefficients by population class and income source: a spreadsheet approach and application. Appl Econ 1999;31:1249-64.
33. Davis P. Discussions Among the Poor: Exploring Poverty Dynamics with Focus Groups in Bangladesh. Department of Economics and International Development, University of Bath, 2007.
34. Murray CJ, Lozano R, Flaxman AD, Vahdatpour A, Lopez AD. Robust metrics for assessing the performance of different verbal autopsy cause assignment methods in validation studies. Popul Health Metr 2011;9:28.
35. Chandramohan D, Setel P, Quigley M. Effect of misclassification of causes of death in verbal autopsy: can it be adjusted? Int J Epidemiol 2001;30:509-14.
36. Murray CJL, Lozano R, Flaxman AD et al. Using verbal autopsy to measure causes of death: the comparative performance of existing methods. BMC Med 2014;12:5.
37. Heeley E, Anderson CS, Huang Y et al. Role of health insurance in averting economic hardship in families after acute stroke in China. Stroke 2009;40:2149-56.
38. World Bank. Non-Communicable Diseases-Bangladesh's Next Major Health Challenge. Washington, DC: World Bank, 2011.
39. Bleich SN, Koehlmoos TL, Rashid M, Peters DH, Anderson G. Noncommunicable chronic disease in Bangladesh: overview of existing programs and priorities going forward. Health Policy 2011;100:282-89.