دورية أكاديمية
أعرض في EDS

Adult mortality in sub-Saharan Africa: cross-sectional study of causes of death in Zambia.

التفاصيل البيبلوغرافية
العنوان: Adult mortality in sub-Saharan Africa: cross-sectional study of causes of death in Zambia.
المؤلفون: Chisumpa VH; Demography and Population Studies Programme, Schools of Public Health and Social Sciences, University of the Witwatersrand, Johannesburg, South Africa.; Department of Population Studies, School of Humanities and Social Sciences, University of Zambia, Lusaka, Zambia., Odimegwu CO; Demography and Population Studies Programme, Schools of Public Health and Social Sciences, University of the Witwatersrand, Johannesburg, South Africa., Saikia N; School of Social Sciences, Centre for the Study of Regional Development, Jawaharlal Nehru University, New Delhi, India.; International Institute for Applied Systems Analysis, Laxenburg, Austria.
المصدر: Tropical medicine & international health : TM & IH [Trop Med Int Health] 2019 Oct; Vol. 24 (10), pp. 1208-1220. Date of Electronic Publication: 2019 Sep 11.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Blackwell Scientific Publications Country of Publication: England NLM ID: 9610576 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-3156 (Electronic) Linking ISSN: 13602276 NLM ISO Abbreviation: Trop Med Int Health Subsets: MEDLINE
أسماء مطبوعة: Publication: Oxford : Blackwell Scientific Publications
Original Publication: Oxford, UK : Blackwell Science Ltd, c1996-
مواضيع طبية MeSH: Cause of Death*, Accidents/*mortality , Acute Disease/*mortality , Chronic Disease/*mortality , Wounds and Injuries/*mortality, Adolescent ; Adult ; Age Factors ; Cross-Sectional Studies ; Female ; Humans ; Male ; Middle Aged ; Sex Factors ; Socioeconomic Factors ; Young Adult ; Zambia/epidemiology
مستخلص: Objective: To describe the age-sex pattern and socio-economic differentials in causes of death among adults between the ages of 15 and 59 years in Zambia.
Methods: Using data from the 2010-2012 Zambia sample vital registration with verbal autopsy survey, we calculated the percentage share of causes of death, the age-/sex cause-specific death ratio and cause-eliminated life expectancy at age 15.
Results: HIV/AIDS was the leading cause of death across all socio-economic subgroups contributing 40.7% of total deaths during the study period. This was followed by deaths due to injury and accidents (11.2%). Cause-specific death ratios due to HIV/AIDS increased by age and peaked in the 35-39 age group and were higher among females than males. The second-leading cause of death was injuries and accidents for males and tuberculosis for females. The third-leading cause of death was cardiovascular diseases for females and tuberculosis for males. Cause of death patterns varied notably by socio-economic characteristics. Deaths attributable to non-communicable diseases were more evident in adults aged 45-59 years. Eliminating HIV/AIDS in Zambia as a cause of death could raise life expectancy at age 15 by 5.7 years for males and by 6.4 years for females.
Conclusion: HIV/AIDS-related health programmes and interventions should be further supported and strengthened, as they would significantly contribute to the reduction in adult mortality in Zambia.
(© 2019 John Wiley & Sons Ltd.)
References: Bradshaw D, Timaeus IM. Levels and trends in adult mortality. In: Jamison DT, Feachem RGA, Makgoba MW, Bos ER, Baingana FK, Hofman KJ, Rogo KO (eds). Disease and Mortality in Sub-Saharan Africa (2nd edn). The International Bank for Reconstruction and Development/The World Bank: Washington, DC, 2006; 31-42.
Mberu B, Wamukoya M, Oti S, Kyobutungi C. Trends in causes of adult deaths among the urban poor: evidence from Nairobi urban health and demographic surveillance system, 2003-2012. J Urban Health 2015: 92: 422-445.
Rao C, Lopez AD, Hemed Y. Causes of death. In: Jamison DT, Feachem RGA, Makgoba MW et al. (eds) Disease and Mortality in Sub-Saharan Africa. The International Bank for Reconstruction and Development/The World Bank: Washington, DC, 2006; 43-58.
Herbst AJ, Mafojane T, Newell M. Verbal autopsy-based cause-specific mortality trends in rural KwaZulu-Natal, South Africa, 2000-2009. Popul Health Metr 2011: 9: 47.
Olshansky SJ, Hayflick L. Public policies intended to influence adult mortality. In: Rogers R, Crimmins E (eds). International Handbook of Adult Mortality. Springer: Dordrecht, 2011; 571-581.
GBD 2015 Mortality and Causes of Death Collaborators. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 2016: 388: 1459-1544.
United Nations. World Mortality Report 2015. United Nations Population Division: New York, NY, 2015.
World Health Organization. The African Health Monitor. Issue 11. World Health Organization: Regional Office for Africa: Brazzaville, 2010.
Ministry of Health. Assessment of the Health Management Information System in Zambia. Department of Planning and Development, Monitoring and Evaluation Unit: Lusaka, 2007.
Carter K, Hufanga S, Rao C et al. Causes of death in Tonga: quality of certification and implications for statistics. Popul Health Metr 2012: 10: 4.
Ndila C, Bauni E, Mochamah G et al. Causes of death among persons of all ages within the Kilifi Health and Demographic Surveillance System, Kenya, determined from verbal autopsies interpreted using the InterVA-4 model. Glob Health Action 2014: 7: 25593.
Weldearegawi B, Melaku YA, Spigt M, Dinant GJ. Applying the InterVA-4 model to determine causes of death in rural Ethiopia. Glob Health Action 2014: 7: 25550.
Glynn JR, Calvert C, Price A et al. Measuring causes of adult mortality in rural northern Malawi over a decade of change. Glob Health Action 2014: 7: 23621.
Ashenafi W, Eshetu F, Assefa N et al. Trend and causes of adult mortality in Kersa health and demographic surveillance system (Kersa HDSS), eastern Ethiopia: verbal autopsy method. Popul Health Metr 2017: 15: 22.
Rosario EVN, Costa D, Timoteo L et al. Main causes of death in Dande, Angola: results from verbal autopsies of deaths occurring during 2009-2012. BMC Public Health 2016: 16: 719.
Melaku YA, Sahle BW, Tesfaye FH et al. Causes of death among adults in Northern Ethiopia: evidence from verbal autopsy data in health and demographic surveillance system. PLoS ONE 2014: 9: e106781.
Oti SO, van de Vijver S, Kyobutungi C Trends in non-communicable disease mortality among adult residents in Nairobi's slums, 2003-2011: applying InterVA-4 to verbal autopsy data. Glob Health Action 2014: 7: 25533.
Central Statistical Office [Zambia]. 2015 Living Conditions Monitoring Survey (LCMS) Report. Lusaka: Central Statistical Office, 2016.
Central Statistical Office [Zambia]. Sample Vital Registration with Verbal Autopsy Report: 2010-2012. Central Statistical Office: Lusaka, 2014.
Mudenda SS, Kamocha S, Mswia R et al. Feasibility of using a World Health Organization standard methodology for Sample Vital Registration with Verbal Autopsy (SAVVY) to report leading causes of death in Zambia: results of a pilot in four provinces, 2010. Popul Health Metr 2011: 9: 40.
Lamb VL, Siegel JS. Health demography. In: Siegel JS Swanson DA (eds). The Methods and Materials of Demography. Elsevier Academic Press: San Diego, CA, 2004; 341-370.
McGehee M. Mortality. In: Siegel JS Swanson DA (eds). The Methods and Materials of Demography. Elsevier Academic Press: San Diego, CA, 2004; 265-299.
Preston SH, Heuveline P, Guillot M. Demography: Measuring and Modeling Population Processes. Blackwell Publishers: Oxford, 2001.
Kintner HJ. The Life Table. In: Siegel JS Swanson DA (eds). The Methods and Materials of Demography. Elsevier Academic Press: San Diego, CA, 2004; 301-340.
Allen L, Williams J, Townsend N et al. Socioeconomic status and non-communicable disease behavioural risk factors in low-income and lower-middle-income countries: a systematic review. Lancet Glob Health 2017: 5: e277-e289.
Dalal S, Beunza JJ, Volmink J et al. Non-communicable diseases in sub-Saharan Africa: what we know now. Int J Epidemiol 2011: 40: 885-901.
Ezeh AC, Bongaarts J, Mberu B. Global population trends and policy options. Lancet 2012: 380: 142-148.
GBD 2015 Risk Factors Collaborators. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 2016: 388: 1659-1724.
Holmes MD, Dalal S, Volmink J et al. Non-communicable diseases in sub-Saharan Africa: the case for cohort studies. PLoS Med 2010: 7: e1000244.
Murray CJL, Feachem RGA. Adult mortality in developing countries. Trans R Soc Trop Med Hyg 1990: 84: 1-2.
Stringhini S, Carmeli C, Jokela M et al. Socioeconomic status and the 25 × 25 risk factors as determinants of premature mortality: a multicohort study and meta-analysis of 1.7 million men and women. Lancet 2017: 389: 1229-1237.
Fedeli U, Zoppini G, Goldoni CA, Avossa F, Mastrangelo G, Saugo M. Multiple causes of death analysis of chronic diseases: the example of diabetes. Popul Health Metr 2015: 13: 21.
Streatfield KP, Khan WA, Bhuiya B et al. et al. Mortality from external causes in Africa and Asia: evidence from INDEPTH Health and Demographic Surveillance System Sites. Glob Health Action 2014: 7: 25366.
Waldon I, McCloskey C, Earle I. Trends in gender differences in accidents mortality: relationships to changing gender roles and other societal trends. Demogr Res 2005: 13: 415-454.
Bernal M, Haro JM, Bernert S et al. Risk factors for suicidality in Europe: results from the ESEMED study. J Affect Disord 2007: 101: 27-34.
Naidoo SS, Schlebusch L. Sociodemographic characteristics of persons committing suicide in Durban, South Africa: 2006-2007. Afr J Prm Health Care Fam Med 2014: 6: 1-7.
Stuckler D, Basu S, Suhrcke M, Coutts A, McKee M. The public health effect of economic crises and alternative policy responses in Europe: an empirical analysis. Lancet 2009: 374: 315-323.
Matzopoulosa R, Prinslooa M, Pillay-van Wyka V et al. Injury-related mortality in South Africa: a retrospective descriptive study of postmortem investigations. Bulletin World Health Organization 2015: 93: 303-313.
Pillay-van Wyk V, Msemburi W, Laubscher R et al. Mortality trends and differentials in South Africa from 1997 to 2012: second National Burden of Disease Study. Lancet Glob Health 2016: 4: e642-e653.
Trovato F, Heyen NB. A varied pattern of change of sex differential in the G7 countries. J Biosoc Sci 2006: 38: 391-401.
World Health Organization. Global and Regional Estimates of Violence Against Women: Prevalence and Health Effects of Intimate Partner Violence and Non-Partner Sexual Violence. World Health Organization: Geneva, Switzerland, 2013.
Yang S, Khang Y-H, Chun H, Harper S, Lynch J. The changing gender differences in life expectancy in Korea 1970-2005. Soc Sci Med 2012: 75: 1280-1287.
Naidoo K, Grobler AC, Deghaye N et al. Cost-effectiveness of initiating antiretroviral therapy at different points in TB treatment in HIV-TB coinfected ambulatory patients in South Africa. JAIDS J Acquir Immune Defic Syndr 2015: 69: 576-584.
Samandari T, Agizew T, Nyirenda S et al. Tuberculosis incidence after 36 months’ isoniazid prophylaxis in HIV-infected adults in Botswana: a posttrial observational analysis. AIDS 2015: 29: 351-359.
Mukanu MM, Zulu MJ, Mweemba C, Mutale W. Responding to non-communicable diseases in Zambia: a policy analysis. Health Res Policy Syst 2017: 15: 34.
فهرسة مساهمة: Keywords: HIV/AIDS; VIH/SIDA; Zambia; Zambie; adult mortality; autopsie verbale; cause de décès; cause of death; cause-deleted life table; mortalité d'adultes; table de mortalité en l'absence d'une cause; verbal autopsy
Local Abstract: [Publisher, French] Décrire les profilsselon l’âge et le sexe, et les différences socioéconomiques dans les causes de décès chez les adultes âgés de 15 à 59 ans en Zambie. MÉTHODES: En utilisant les données de l'enregistrement de l’état civil d'un échantillon de la Zambie de 2010 à 2012 avec l'enquête sur l'autopsie verbale, nous avons calculé la part en pourcentage des causes de décès, le taux de mortalité selon l’âge et le sexe et l'espérance de vie éliminée à 15 ans. RÉSULTATS: Le VIH/SIDA était la principale cause de décès dans tous les sous-groupes socioéconomiques, contribuant à 40,7% du nombre total de décès au cours de la période de l’étude. Viennent ensuite les décès par blessures et accidents (11,2%). Les taux de mortalité par cause dus au VIH/SIDA ont augmenté avec l’âge et ont culminé dans le groupe d’âge des 35 à 39 ans et étaient plus élevés chez les femmes que chez les hommes. La deuxième cause de décès était les blessures et les accidents chez les femmes et la tuberculose chez les hommes. Latroisième cause de décès était les maladies cardiovasculaires chez les femmes et la tuberculose chez les hommes. Les causes de décès variaient notamment en fonction des caractéristiques socioéconomiques. Les décès imputables aux maladies non transmissibles étaient plus évidents chez les adultes âgés de 45 à 59 ans. L’élimination du VIH/SIDA en Zambie en tant que cause de décès pourrait augmenter l'espérance de vie à 15 ans de 5,77 ans pour les hommes et de 6,40 ans pour les femmes. [Publisher, French] Les programmes et interventions de santé liés au VIH/SIDA devraient être davantage soutenus et renforcés, car ils contribueraient de manière significative à la réduction de la mortalité des adultes en Zambie.
تواريخ الأحداث: Date Created: 20190818 Date Completed: 20200601 Latest Revision: 20200601
رمز التحديث: 20240628
DOI: 10.1111/tmi.13302
PMID: 31420929
قاعدة البيانات: MEDLINE
الوصف
تدمد:1365-3156
DOI:10.1111/tmi.13302