Poverty and non-communicable diseases in South Africa

Schneider, Michelle; Bradshaw, Debbie; Steyn, Krisela; Norman, Rosana; Laubscher, Ria

doi:10.1177/1403494808100272

Cited by 49 publications

(52 citation statements)

References 18 publications

(13 reference statements)

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“…46 Increasing wealth is associated with elevated blood pressure and obesity. 47 However in a recent study on the etiology of MetS in mid-life urban South African females, no socioeconomic factors (education and employment) were associated with MetS risk. 47 …”

Section: Metabolic Syndrome In South Africa -Gradidge and Crowthermentioning

confidence: 93%

Review: Metabolic Syndrome in Black South African Women

Gradidge

Crowther

2017

Ethn Dis

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The prevalence of metabolic syndrome is increasing in African populations, and is particularly high in Black South African women (42%) vs women in the United Kingdom (23%) and the United States of America (36%). This population group is also known to have the highest prevalence of obesity in the sub-Saharan African region (42%), and consequently, a high risk of non-communicable diseases. In this article, we discuss factors (abdominal subcutaneous fat, visceral fat, lean mass, adiponectin, leptin, vitamin D, smoking and menopausal status) that have been investigated for their possible association with metabolic syndrome in African women, and discuss some recommendations for management of the syndrome. In particular, the infrastructural development of HIV/AIDS clinics in South Africa provides an ideal integrated platform to cater to the treatment needs of patients with multiple chronic morbidities. Ethn Dis. 2017(27):189-200; doi:10.18865/ed.27.2.189

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Section: Metabolic Syndrome In South Africa -Gradidge and Crowthermentioning

confidence: 93%

Review: Metabolic Syndrome in Black South African Women

Gradidge

Crowther

2017

Ethn Dis

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“…While this difference was particularly marked for pre-transitional conditions, HIV/AIDS and injuries, noncommunicable disease rates were also highest in Khayelitsha, which confirms a previous finding that noncommunicable diseases are prevalent among the urban poor in South Africa. 32 Of the cardiovascular diseases, only ischaemic heart disease rates were lowest in Khayelitsha. Hypertensive disease, stroke and diabetes mortality rates in Khayelitsha were among the highest, however, which suggests that this population is in an earlier phase of the cardiovascular epidemiological transition than populations in other subdistricts.…”

Section: Discussionmentioning

confidence: 99%

Differential health needs of the population in Cape Town, South Africa: Local-level mortality surveillance in resource-limited settings: a case study of the City of Cape Town highlights disparities in health

Groenewald¹,

Bradshaw²,

Daniels³

et al. 2010

Bull World Health Org

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“…Data available included basic demographic information (such as age and sex) and hospital information (medical specialty, dates of admission and discharge). Given the significant inequalities in socioeconomic status (SES) across SA, 8 we used population group (a racially based marker of historical discrimination) and hospital billing codes (distinguishing patients deemed able to pay healthcare costs from those deemed unable to pay for care) as proxy measures for SES.…”

Section: Methodsmentioning

confidence: 99%

Medical inpatient mortality at Groote Schuur Hospital, Cape Town, South Africa, 2002-2009

2012

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Background. Despite the challenges facing healthcare in South Africa, empirical insights into the performance of healthcare services over time are scarce. Methods. We analysed first admissions of adult medical inpatients to Groote Schuur Hospital, Cape Town, from January 2002 to July 2009. Data included age, sex, medical specialty, and date of admission and discharge. We used population group and hospital billing codes as proxy measures for socio-economic status (SES). We calculated the duration of stay in days from the date of admission to discharge, and inpatient mortality rates per 1 000 patient days. Poisson regression was used to estimate mortality rate ratios (MRR) in unadjusted analysis and after adjusting for potential confounders. Annual increases in mortality rates were highest during the first 2 days following admission (increasing from 30.1 to 50.3 deaths per 1 000), and were associated with increasing age, non-paying patient status, black population group and male sex, and were greatest in the emergency ward (adjusted MRR 1.73, comparing 2009 with 2002; 95% CI 1.49 -2.01). Discussion. Increasing medical inpatient mortality rates at a large South African academic hospital were most marked during the first 2 days after admission and appeared greatest among emergency medical inpatients.

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Poverty and non-communicable diseases in South Africa

Cited by 49 publications

References 18 publications

Review: Metabolic Syndrome in Black South African Women

Review: Metabolic Syndrome in Black South African Women

Differential health needs of the population in Cape Town, South Africa: Local-level mortality surveillance in resource-limited settings: a case study of the City of Cape Town highlights disparities in health

Medical inpatient mortality at Groote Schuur Hospital, Cape Town, South Africa, 2002-2009

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