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Mortality trends and differentials in South Africa from 1997 to 2012

Second National Burden of Disease Study

Bibliographic Data

ID23357109
AuthorsVictoria Pillay-Van Wyk, Victoria Pillay‐van Wyk (0000-0001-8772-7197, South African Medical Research Council, corresponding author), William Msemburi (0000-0001-5059-5098, South African Medical Research Council), Ria Laubscher (0000-0002-6669-9040, South African Medical Research Council), Rob E Dorrington, Rob Dorrington (0000-0002-6865-9739, University of Cape Town), Pam Groenewald (0000-0003-3801-3555, South African Medical Research Council), Tracy R Glass (0000-0001-7075-9803, South African Medical Research Council), Tracy Glass (0000-0001-8493-3649), Beatrice Nojilana (0000-0003-2053-9575, South African Medical Research Council), Jané D Joubert (0000-0003-2609-9777), Jané Joubert (South African Medical Research Council), Richard Matzopoulos (0000-0001-9063-6210, South African Medical Research Council), Megan Prinsloo (0000-0003-0415-0973, South African Medical Research Council), Nadine Nannan (0000-0002-1563-2401, South African Medical Research Council), Nomonde Gwebushe (0000-0003-4315-3798, South African Medical Research Council), Theo Vos (0000-0002-5690-5365, University of Washington), Nontuthuzelo Somdyala (0000-0001-6564-8754, South African Medical Research Council), Nomfuneko Sithole (0009-0000-3094-2523, South African Medical Research Council), I Neethling (0000-0003-2778-4995, South African Medical Research Council), Edward Nicol (0000-0001-9280-787X, South African Medical Research Council), Anastasia Rossouw (South African Medical Research Council), Debbie Bradshaw (0000-0002-3588-2184, South African Medical Research Council)
Year2016
Volume4
Issue9
Pagese642-e653
Publication date2016-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Lancet Global Health (JOURNAL)
Journal identifiersISSN: 2214-109X • E-ISSN: 2572-116X
PublisherElsevier BV (PUBLISHER)
DOI10.1016/s2214-109x(16)30113-9
PMID27539806
OpenAlexW2516042507
LanguageEN
Citations received77
References cited22

BACKGROUND: The poor health of South Africans is known to be associated with a quadruple disease burden. In the second National Burden of Disease (NBD) study, we aimed to analyse cause of death data for 1997-2012 and develop national, population group, and provincial estimates of the levels and causes of mortality. METHOD: We used underlying cause of death data from death notifications for 1997-2012 obtained from Statistics South Africa. These data were adjusted for completeness using indirect demographic techniques for adults and comparison with survey and census estimates for child mortality. A regression approach was used to estimate misclassified HIV/AIDS deaths and so-called garbage codes were proportionally redistributed by age, sex, and population group population group (black African, Indian or Asian descent, white [European descent], and coloured [of mixed ancestry according to the preceding categories]). Injury deaths were estimated from additional data sources. Age-standardised death rates were calculated with mid-year population estimates and the WHO age standard. Institute of Health Metrics and Evaluation Global Burden of Disease (IHME GBD) estimates for South Africa were obtained from the IHME GHDx website for comparison. FINDINGS: All-cause age-standardised death rates increased rapidly since 1997, peaked in 2006 and then declined, driven by changes in HIV/AIDS. Mortality from tuberculosis, non-communicable diseases, and injuries decreased slightly. In 2012, HIV/AIDS caused the most deaths (29·1%) followed by cerebrovascular disease (7·5%) and lower respiratory infections (4·9%). All-cause age-standardised death rates were 1·7 times higher in the province with the highest death rate compared to the province with the lowest death rate, 2·2 times higher in black Africans compared to whites, and 1·4 times higher in males compared with females. Comparison with the IHME GBD estimates for South Africa revealed substantial differences for estimated deaths from all causes, particularly HIV/AIDS and interpersonal violence. INTERPRETATION: This study shows the reversal of HIV/AIDS, non-communicable disease, and injury mortality trends in South Africa during the study period. Mortality differentials show the importance of social determinants, raise concerns about the quality of health services, and provide relevant information to policy makers for addressing inequalities. Differences between GBD estimates for South Africa and this study emphasise the need for more careful calibration of global models with local data. FUNDING: South African Medical Research Council's Flagships Awards Project.

Cause of death · Disease · Disease burden · Environmental health · Mortality rate · Population · Demography · Global Cancer Incidence and Screening · Global Maternal and Child Health · HIV/AIDS Impact and Responses · Medicine · Surgery

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Unique citing works77
Citations per year8,56
Citation span2017 - 2026 (10)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 71

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