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Lam A, Keenan K, Myrskylä M, Kulu H. Multimorbid life expectancy across race, socio-economic status, and sex in South Africa. POPULATION STUDIES 2024:1-26. [PMID: 38753590 DOI: 10.1080/00324728.2024.2331447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 02/01/2024] [Indexed: 05/18/2024]
Abstract
Multimorbidity is increasing globally as populations age. However, it is unclear how long individuals live with multimorbidity and how it varies by social and economic factors. We investigate this in South Africa, whose apartheid history further complicates race, socio-economic, and sex inequalities. We introduce the term 'multimorbid life expectancy' (MMLE) to describe the years lived with multimorbidity. Using data from the South African National Income Dynamics Study (2008-17) and incidence-based multistate Markov modelling, we find that females experience higher MMLE than males (17.3 vs 9.8 years), and this disparity is consistent across all race and education groups. MMLE is highest among Asian/Indian people and the post-secondary educated relative to other groups and lowest among African people. These findings suggest there are associations between structural inequalities and MMLE, highlighting the need for health-system and educational policies to be implemented in a way proportional to each group's level of need.
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Affiliation(s)
- Anastasia Lam
- University of St Andrews
- Max Planck Institute for Demographic Research
| | | | - Mikko Myrskylä
- Max Planck Institute for Demographic Research
- University of Helsinki
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Johnson LF, Kassanjee R, Folb N, Bennett S, Boulle A, Levitt NS, Curran R, Bobrow K, Roomaney RA, Bachmann MO, Fairall LR. A model-based approach to estimating the prevalence of disease combinations in South Africa. BMJ Glob Health 2024; 9:e013376. [PMID: 38388163 PMCID: PMC10884267 DOI: 10.1136/bmjgh-2023-013376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 11/12/2023] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND The development of strategies to better detect and manage patients with multiple long-term conditions requires estimates of the most prevalent condition combinations. However, standard meta-analysis tools are not well suited to synthesising heterogeneous multimorbidity data. METHODS We developed a statistical model to synthesise data on associations between diseases and nationally representative prevalence estimates and applied the model to South Africa. Published and unpublished data were reviewed, and meta-regression analysis was conducted to assess pairwise associations between 10 conditions: arthritis, asthma, chronic obstructive pulmonary disease (COPD), depression, diabetes, HIV, hypertension, ischaemic heart disease (IHD), stroke and tuberculosis. The national prevalence of each condition in individuals aged 15 and older was then independently estimated, and these estimates were integrated with the ORs from the meta-regressions in a statistical model, to estimate the national prevalence of each condition combination. RESULTS The strongest disease associations in South Africa are between COPD and asthma (OR 14.6, 95% CI 10.3 to 19.9), COPD and IHD (OR 9.2, 95% CI 8.3 to 10.2) and IHD and stroke (OR 7.2, 95% CI 5.9 to 8.4). The most prevalent condition combinations in individuals aged 15+ are hypertension and arthritis (7.6%, 95% CI 5.8% to 9.5%), hypertension and diabetes (7.5%, 95% CI 6.4% to 8.6%) and hypertension and HIV (4.8%, 95% CI 3.3% to 6.6%). The average numbers of comorbidities are greatest in the case of COPD (2.3, 95% CI 2.1 to 2.6), stroke (2.1, 95% CI 1.8 to 2.4) and IHD (1.9, 95% CI 1.6 to 2.2). CONCLUSION South Africa has high levels of HIV, hypertension, diabetes and arthritis, by international standards, and these are reflected in the most prevalent condition combinations. However, less prevalent conditions such as COPD, stroke and IHD contribute disproportionately to the multimorbidity burden, with high rates of comorbidity. This modelling approach can be used in other settings to characterise the most important disease combinations and levels of comorbidity.
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Affiliation(s)
- Leigh F Johnson
- Centre for Infectious Disease Epidemiology and Research (CIDER), University of Cape Town, Cape Town, South Africa
| | - Reshma Kassanjee
- Centre for Infectious Disease Epidemiology and Research (CIDER), University of Cape Town, Cape Town, South Africa
| | | | | | - Andrew Boulle
- Centre for Infectious Disease Epidemiology and Research (CIDER), University of Cape Town, Cape Town, South Africa
- Department of Health, Western Cape Provincial Government, Cape Town, South Africa
| | - Naomi S Levitt
- Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Robyn Curran
- Knowledge Translation Unit, University of Cape Town, Cape Town, Western Cape, South Africa
| | - Kirsty Bobrow
- Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Rifqah A Roomaney
- Burden of Disease Research Unit, South African Medical Research Council, Cape Town, Western Cape, South Africa
| | - Max O Bachmann
- Norwich Medical School, University of East Anglia, Faculty of Medicine and Health Sciences, Norwich, UK
| | - Lara R Fairall
- Knowledge Translation Unit, University of Cape Town, Cape Town, Western Cape, South Africa
- King's Global Health Institute, King's College London, London, UK
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Manyi-Loh CE, Lues R. A South African Perspective on the Microbiological and Chemical Quality of Meat: Plausible Public Health Implications. Microorganisms 2023; 11:2484. [PMID: 37894142 PMCID: PMC10608972 DOI: 10.3390/microorganisms11102484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 09/06/2023] [Accepted: 09/20/2023] [Indexed: 10/29/2023] Open
Abstract
Meat comprises proteins, fats, vitamins, and trace elements, essential nutrients for the growth and development of the body. The increased demand for meat necessitates the use of antibiotics in intensive farming to sustain and raise productivity. However, the high water activity, the neutral pH, and the high protein content of meat create a favourable milieu for the growth and the persistence of bacteria. Meat serves as a portal for the spread of foodborne diseases. This occurs because of contamination. This review presents information on animal farming in South Africa, the microbial and chemical contamination of meat, and the consequential effects on public health. In South Africa, the sales of meat can be operated both formally and informally. Meat becomes exposed to contamination with different categories of microbes, originating from varying sources during preparation, processing, packaging, storage, and serving to consumers. Apparently, meat harbours diverse pathogenic microorganisms and antibiotic residues alongside the occurrence of drug resistance in zoonotic pathogens, due to the improper use of antibiotics during farming. Different findings obtained across the country showed variations in prevalence of bacteria and multidrug-resistant bacteria studied, which could be explained by the differences in the manufacturer practices, handling processes from producers to consumers, and the success of the hygienic measures employed during production. Furthermore, variation in the socioeconomic and political factors and differences in bacterial strains, geographical area, time, climatic factors, etc. could be responsible for the discrepancy in the level of antibiotic resistance between the provinces. Bacteria identified in meat including Escherichia coli, Listeria monocytogenes, Staphylococcus aureus, Campylobacter spp., Salmonella spp., etc. are incriminated as pathogenic agents causing serious infections in human and their drug-resistant counterparts can cause prolonged infection plus long hospital stays, increased mortality and morbidity as well as huge socioeconomic burden and even death. Therefore, uncooked meat or improperly cooked meat consumed by the population serves as a risk to human health.
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Affiliation(s)
- Christy E. Manyi-Loh
- Centre of Applied Food Sustainability and Biotechnology, Central University of Technology, Bloemfontein 9301, South Africa;
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Collini P, Mawson RL. A new era of HIV care for age-associated multimorbidity. Curr Opin Infect Dis 2023; 36:9-14. [PMID: 36484174 DOI: 10.1097/qco.0000000000000890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
PURPOSE OF REVIEW The management of people with HIV has shifted focus from acute AIDS-defining illness towards improving detection of chronic disease and reducing impact of multimorbidity. In this review, we explore this shifting paradigm of HIV care and the evidence for alternative models proposed to provide integrated holistic services for people with HIV (PWH) with multimorbidity. RECENT FINDINGS Despite 25 years of the antiretroviral treatment (ART) era an increased incidence of noncommunicable disease (NCD) and multimorbidity in PWH persists. As the world moves closer to universal ART coverage this phenomenon is now reported in low- and middle-income settings. Multimorbidity affects PWH disproportionately compared to the general population and results in reduced health related quality of life (HRQoL), greater hospitalization and higher mortality. There is evidence that NCD care provision and outcomes may be inferior for PWH than their HIV negative counterparts. Various models of integrated multimorbidity care have developed and are grouped into four categories; HIV specialist clinics incorporating NCD care, primary care services incorporating HIV care, community NCD clinics offering integrated HIV care, and multidisciplinary care integrated with HIV in secondary care. Evidence is limited as to the best way to provide multimorbidity care for PWH. SUMMARY A new era of HIV care for an ageing population with multimorbidity brings challenges for health providers who need to develop holistic patient focused services which span a range of coexisting conditions.
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Affiliation(s)
- Paul Collini
- Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield
| | - Rebecca L Mawson
- Academic Unit of Primary Medical Care, The University of Sheffield, Samuel Fox House, Sheffield, UK
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Roomaney RA, van Wyk B, Pillay-van Wyk V. Multimorbidity in South Africa: Is the health system ready? JOURNAL OF MULTIMORBIDITY AND COMORBIDITY 2023; 13:26335565231182483. [PMID: 37342320 PMCID: PMC10278409 DOI: 10.1177/26335565231182483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 05/30/2023] [Indexed: 06/22/2023]
Abstract
Background: Multimorbidity is likely to be a significant contributor to ill health and inequality in South Africa and yet has been largely overlooked. Purpose: This paper focuses on the findings of a recent large study that highlighted emerging issues - namely (i) the high levels of multimorbidity among three key groups - older adults, women, and the wealthy; (ii) discordant and concordant disease clusters among the multimorbid. Research Design: Narrative. Study Sample and Data Collection: Not applicable. Results: We discuss the implications of each emerging issue for health systems policy and practice. Conclusion: Although key policies are identified, many of these policies are not implemented and are therefore not part of routine practice, leaving much space for improvement.
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Affiliation(s)
- Rifqah Abeeda Roomaney
- Burden of Disease Research Unit, South African Medical Research Council, Cape Town, South Africa
- School of Public Health, University of the Western Cape, Cape Town, South Africa
| | - Brian van Wyk
- School of Public Health, University of the Western Cape, Cape Town, South Africa
| | - Victoria Pillay-van Wyk
- Burden of Disease Research Unit, South African Medical Research Council, Cape Town, South Africa
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Roomaney RA, van Wyk B, Pillay-van Wyk V. A systematic method for comparing multimorbidity in national surveys. BMC Res Notes 2022; 15:280. [PMID: 35978384 PMCID: PMC9387001 DOI: 10.1186/s13104-022-06164-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 07/27/2022] [Indexed: 11/10/2022] Open
Abstract
Objective Due to gaps in the literature, we developed a systematic method to assess multimorbidity using national surveys. The objectives of this study were thus to identify methods used to define and measure multimorbidity, to create a pre-defined list of disease conditions, to identify potential national surveys to include, to select disease conditions for each survey, and to analyse and compare the survey findings. Results We used the count method to define multimorbidity. We created a pre-defined list of disease conditions by examining international literature and using local data on the burden of disease. We assessed national surveys, reporting on more than one disease condition in people 15 years and older, for inclusion. For each survey, the prevalence of multimorbidity was calculated, the disease patterns among the multimorbid population were assessed using a latent class analysis and logistic regression was used to identify sociodemographic and behavioural factors associated with multimorbidity. The prevalence of multimorbidity varied for each survey from 2.7 to 20.7%. We used a systematic and transparent method to interrogate multimorbidity in national surveys. While the prevalence in each survey differs, they collectively indicate that multimorbidity increases in older age groups and tends to be higher among women. Supplementary Information The online version contains supplementary material available at 10.1186/s13104-022-06164-3.
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Affiliation(s)
- Rifqah Abeeda Roomaney
- Burden of Disease Research Unit, South African Medical Research Council, Francie van Zyl Drive, Cape Town, South Africa. .,School of Public Health, University of the Western Cape, Robert Sobukwe Drive, Bellville, Cape Town, South Africa.
| | - Brian van Wyk
- School of Public Health, University of the Western Cape, Robert Sobukwe Drive, Bellville, Cape Town, South Africa
| | - Victoria Pillay-van Wyk
- Burden of Disease Research Unit, South African Medical Research Council, Francie van Zyl Drive, Cape Town, South Africa
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Roomaney RA, van Wyk B, Cois A, Pillay-van Wyk V. Inequity in the Distribution of Non-Communicable Disease Multimorbidity in Adults in South Africa: An Analysis of Prevalence and Patterns. Int J Public Health 2022; 67:1605072. [PMID: 36051505 PMCID: PMC9426027 DOI: 10.3389/ijph.2022.1605072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 07/18/2022] [Indexed: 11/16/2022] Open
Abstract
Objectives: The present study examined the prevalence and patterns of non-communicable disease multimorbidity by wealth quintile among adults in South Africa. Methods: The South African National Income Dynamics Study Wave 5 was conducted in 2017 to examine the livelihoods of individuals and households. We analysed data in people aged 15 years and older (N = 27,042), including self-reported diagnosis of diabetes, stroke, heart disease and anthropometric measurements. Logistic regression and latent class analysis were used to analyse factors associated with multimorbidity and common disease patterns. Results: Multimorbidity was present in 2.7% of participants. Multimorbidity was associated with increasing age, belonging to the wealthiest quintile group, increasing body mass index and being a current smoker. Having secondary education was protective against multimorbidity. Three disease classes of multimorbidity were identified: Diabetes and Hypertension; Heart Disease and Hypertension; and Stroke and Hypertension. Conclusion: Urgent reforms are required to improve health systems responsiveness to mitigate inequity in multimorbidity patterns in the adult population of South Africa as a result of income inequality.
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Affiliation(s)
- R. A. Roomaney
- Burden of Disease Research Unit, South African Medical Research Council, Cape Town, South Africa
- School of Public Health, University of the Western Cape, Cape Town, South Africa
- *Correspondence: R. A. Roomaney,
| | - B. van Wyk
- School of Public Health, University of the Western Cape, Cape Town, South Africa
| | - A. Cois
- Burden of Disease Research Unit, South African Medical Research Council, Cape Town, South Africa
- Division of Health Systems and Public Health, Department of Global Health, University of Stellenbosch, Stellenbosch, South Africa
| | - V. Pillay-van Wyk
- Burden of Disease Research Unit, South African Medical Research Council, Cape Town, South Africa
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