Prevalence and risk factors for self-reported non-communicable diseases among older Ugandans: A cross-sectional study

Global Health Action

Volumn 8, Issue 1, 2015, Pages

  Wandera, Stephen Ojiambo ^a   Kwagala, Betty ^a   Ntozi, James ^a  

^a MAKERERE UNIVERSITY   (Uganda)

Author keywords

Africa; Chronic diseases; Elderly; Non communicable diseases; Uganda

Indexed keywords

AGE; AGED; CHRONIC DISEASE; CROSS-SECTIONAL STUDY; DEMOGRAPHY; DIABETES MELLITUS; DISABLED PERSON; FEMALE; HEALTH STATUS; HEART DISEASES; HUMAN; HYPERTENSION; MALE; MIDDLE AGED; PREVALENCE; RISK FACTOR; SEX DIFFERENCE; SOCIOECONOMICS; UGANDA; VERY ELDERLY;

AGE FACTORS; AGED; AGED, 80 AND OVER; CHRONIC DISEASE; CROSS-SECTIONAL STUDIES; DIABETES MELLITUS; DISABLED PERSONS; FEMALE; HEALTH STATUS; HEART DISEASES; HUMANS; HYPERTENSION; MALE; MIDDLE AGED; PREVALENCE; RESIDENCE CHARACTERISTICS; RISK FACTORS; SEX FACTORS; SOCIOECONOMIC FACTORS; UGANDA;

EID: 84940767849     PISSN: None     EISSN: 16549880     Source Type: Journal    
DOI: 10.3402/gha.v8.27923     Document Type: Article

References (40)

1. Demaio AR, Nielsen KK, Tersbøl BP, Kallestrup P, Meyrowitsch DW. Primary Health Care: a strategic framework for the prevention and control of chronic non-communicable disease. Glob Health Action 2014; 7: 24504, doi: http://dx.doi.org/10.3402/gha.v7.24504
2. Ng N, Minh HV, Juvekar S, Razzaque A, Bich TH, Kanungsukkasem U, et al. Using the INDEPTH HDSS to build capacity for chronic non-communicable disease risk factor surveillance in low and middle income countries. Glob Health Action 2009; 2: 1984, doi: http://dx.doi.org/10.3402/gha.v2i0.1984
3. World Health Organization (2011). Global status report on noncommunicable diseases. Geneva, Switzerland: WHO.
4. Phaswana-Mafuya N, Peltzer K, Chirinda W, Musekiwa A, Kose Z, Hoosain E, et al. Self-reported prevalence of chronic non-communicable diseases and associated factors among older adults in South Africa. Glob Health Action 2013; 6: 20936, doi: http://dx.doi.org/10.3402/gha.v6i0.20936
5. Namusisi O, Sekandi JN, Kasasa S, Wasswa P, Kamara NT, Bitekyerezo M, et al. Risk factors for non-communicable diseases in rural Uganda: a pilot surveillance project among diabetes patients at a referral hospital clinic. Pan Afr Med J 2011; 10: 47.
6. Ismail PKP, Koh DS. Role of occupational health in managing non-communicable diseases in Brunei Darussalam. Glob Health Action 2014; 7: 25594, doi: http://dx.doi.org/10.3402/gha.v7.25594
7. Minicuci N, Biritwum RB, Mensah G, Yawson AE, Naidoo N, Chatterji S, et al. Sociodemographic and socioeconomic patterns of chronic non-communicable disease among the older adult population in Ghana. Glob Health Action 2014; 7: 21292, doi: http://dx.doi.org/10.3402/gha.v7.21292
8. Byass P, de Savigny D, Lopez AD. Essential evidence for guiding health system priorities and policies: anticipating epidemiological transition in Africa. Glob Health Action 2014; 7: 23359, doi: http://dx.doi.org/10.3402/gha.v7.23359
9. Wandera SO, Ntozi J, Kwagala B. Prevalence and correlates of disability among older Ugandans: evidence from the Uganda National Household Survey. Glob Health Action 2014; 7: 25686, doi: http://dx.doi.org/10.3402/gha.v7.25686
10. Oli N, Vaidya A, Subedi M, Krettek A. Experiences and perceptions about cause and prevention of cardiovascular disease among people with cardiometabolic conditions: findings of indepth interviews from a peri-urban Nepalese community. Glob Health Action 2014; 7: 24023, doi: http://dx.doi.org/10.3402/gha.v7.24023
11. Schwartz JI, Dunkle A, Akiteng AR, Birabwa-Male D, Kagimu R, Mondo CK, et al. Towards reframing health service delivery in Uganda: the Uganda Initiative for Integrated Management of Non-Communicable Diseases. Glob Health Action 2015; 8: 26537, doi: http://dx.doi.org/10.3402/gha.v8.26537
12. Schwartz JI, Guwatudde D, Nugent R, Kiiza C. Looking at non-communicable diseases in Uganda through a local lens: an analysis using locally derived data. Global Health 2014; 10: 77.
13. UBOS (2002). Uganda population and housing census. Kampala, Uganda: Uganda Bureau of Statistics.
14. UN (2013). World population prospects: the 2010 revision. New York: United Nations, Department of Economic and Social Affairs, Population Division.
15. Negin J, Cumming R, de Ramirez SS, Abimbola S, Sachs SE. Risk factors for non-communicable diseases among older adults in rural Africa. Trop Med Int Health 2011; 16: 640-6.
16. Phaswana-Mafuya N, Peltzer K, Chirinda W, Musekiwa A, Kose Z. Sociodemographic predictors of multiple non-communicable disease risk factors among older adults in South Africa. Glob Health Action 2013; 6: 20680, doi: http://dx.doi.org/10.3402/gha.v6i0.20680
17. UBOS (2010). Uganda National Household Survey 2009-2010. Socio-economic Module. Abridged Report. Kampala, Uganda: Uganda Bureau of Statistics.
18. Gómez-Olivé FX, Thorogood M, Clark B, Kahn K, Tollman S. Self-reported health and health care use in an ageing population in the Agincourt sub-district of rural South Africa. Glob Health Action 2013; 6: 19305, doi: http://dx.doi.org/10.3402/gha.v6i0.19305
19. Hirve S, Juvekar S, Lele P, Agarwal D. Social gradients in selfreported health and well-being among adults aged 50 and over in Pune District, India. Glob Health Action 2010; 2: 88-95.
20. Braithwaite J, Mont D. Disability and poverty: a survey of World Bank poverty assessments and implications. ALTER-Eur J Disabil Res 2009; 3: 219-32.
21. Mont D. Measuring disability prevalence. World Bank Social Protection Discussion Paper. Washington, DC: World Bank; 2007.
22. Mitra S, Sambamoorthi U. Disability prevalence among adults: estimates for 54 countries and progress toward a global estimate. Disabil Rehabil 2013; 36: 940-7.
23. Barberger-Gateau P, Rainville C, Letenneur L, Dartigues JF. A hierarchical model of domains of disablement in the elderly: a longitudinal approach. Disabil Rehabil 2000; 22: 308-17.
24. Nyarko SH, Cobblah A. Sociodemographic determinants of Malaria among under-five children in Ghana. Malar Res Treat 2014; 2014: 304361.
25. Long JS. Regression models for categorical and limited dependent variables: advanced quantitative techniques in the social sciences. Thousand Oaks, CA: Sage, 1997.
26. Penman AD, Johnson WD. Complementary log-log regression for the estimation of covariate-adjusted prevalence ratios in the analysis of data from cross-sectional studies. Biom J 2009; 51: 433-42.
27. Murphy GA, Asiki G, Ekoru K, Nsubuga RN, Nakiyingi-Miiro J, Young EH, et al. Sociodemographic distribution of noncommunicable disease risk factors in rural Uganda: a crosssectional study. Int J Epidemiol 2013; 42: 1740-53.
28. Bosu WK. The prevalence, awareness, and control of hypertension among workers in West Africa: a systematic review. Glob Health Action 2015; 8: 26227, doi: http://dx.doi.org/10.3402/gha.v8.26227
29. Metta E, Msambichaka B, MwangombeM, Nyato DJ, Dieleman M, Haisma H, et al. Public policy, health system, and community actions against illness as platforms for response to NCDs in Tanzania: a narrative review. Glob Health Action 2014; 7: 23439, doi: http://dx.doi.org/10.3402/gha.v7.23439
30. Seeley J, Dercon S, Barnett T. The effects of HIV/AIDS on rural communities in East Africa: a 20-year perspective. Trop Med Int Health 2010; 15: 329-35.
31. Seeley J, Kabunga E, Tumwekwase G, WolffB, Grosskurth H. (2008). The impact of the AIDS epidemic on the lives of older people in rural Uganda. Working Paper. DEV Working Paper, School of International Development, University of East Anglia, Norwich, UK. Available from: https://ueaeprints.uea.ac.uk/18861/[cited 16 July 2015].
32. Seeley J, WolffB, Kabunga E, Tumwekwase G, Grosskurth H. 'This is where we buried our sons': people of advanced old age coping with the impact of the AIDS epidemic in a resource-poor setting in rural Uganda. Age Soc 2009; 29: 115.
33. Golaz V, Rutaremwa G. The vulnerability of older adults: what do census data say? An application to Uganda. Afr Popul Stud 2011; 26: 605-22.
34. Koster A, Bosma H, Kempen GIJM, Penninx BWJH, Beekman ATF, Deeg DJH, et al. Socioeconomic differences in incident depression in older adults: the role of psychosocial factors, physical health status, and behavioral factors. J Psychosom Res 2006; 61: 619-27.
35. Meltzer H, Bebbington P, Brugha T, McManus S, Rai D, Dennis MS, et al. Physical ill health, disability, dependence and depression: results from the 2007 national survey of psychiatric morbidity among adults in England. Disabil Health J 2012; 5: 102-10.
36. Nyirenda M, Chatterji S, Rochat T, Mutevedzi P, Newell ML. Prevalence and correlates of depression among HIV-infected and -affected older people in rural South Africa. J Affect Disord 2013; 151: 31-8.
37. Obrist B, Iteba N, Lengeler C, Makemba A, Mshana C, Nathan R, et al. Access to health care in contexts of livelihood insecurity: a framework for analysis and action. PLos Med 2007; 4: e308.
38. Mondo CK, Otim MA, Akol G, Musoke R, Orem J. The prevalence and distribution of non-communicable diseases and their risk factors in Kasese district, Uganda. Cardiovasc J Afr 2013; 24: 52-7.
39. Stelmach W, Kaczmarczyk-Chalas K, Bielecki W, Stelmach I, Drygas W. How income and education contribute to risk factors for cardiovascular disease in the elderly in a former Communist country. Public Health 2004; 118: 439-49.
40. Bonita R, Beaglehole R. Women and NCDs: overcoming the neglect. Glob Health Action 2014; 7: 23742, doi: http://dx.doi. org/10.3402/gha.v7.23742