A cross-sectional and spatial analysis of the prevalence of multimorbidity and its association with socioeconomic disadvantage in South Africa: A comparison between 2008 and 2012

被引：52

作者：

Weimann, Amy ^{[1
]}

Dai, Dajun ^{[2
]}

Oni, Tolu ^{[1
]}

机构：

[1] Univ Cape Town, Div Publ Hlth Med, Sch Publ Hlth & Family Med, Room 4-41,Entrance 5,Falmouth Bldg,Anzio Rd, ZA-7925 Cape Town, South Africa

[2] Georgia State Univ, Dept Geosci, 24 Peachtree Ctr Ave NE, Atlanta, GA 30303 USA

来源：

SOCIAL SCIENCE & MEDICINE | 2016年 / 163卷

关键词：

South Africa; Multimorbidity; Socioeconomic disadvantage; Hypertension; Spatial analysis; Hot spots; HEALTH-CARE; NONCOMMUNICABLE DISEASES; LOGISTIC-REGRESSION; EPIDEMIOLOGY; DETERMINANTS; HYPERTENSION; DEPRIVATION; TRANSITION;

D O I：

10.1016/j.socscimed.2016.06.055

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

This study utilised data from the National Income Dynamics Study, a longitudinal study with a sample of approximately 28 000 people, to investigate the cross-sectional and spatial distribution of multi morbidity and the association with socioeconomic disadvantage in South Africa for 2008 and 2012. Multimorbidity increased in prevalence from 2.73% to 2.84% in adults between 2008 and 2012 and was associated with age, socioeconomic deprivation, obesity and urban areas. Hypertension was found frequently coexisting with diabetes. Spatial analysis showed clusters (hot spots) of higher multimorbidity prevalence in parts of KwaZulu-Natal and the Eastern Cape, which compared with the socioeconomic disadvantage spatial pattern. Although these results were limited to a district level analysis, this study has provided a platform for future local level research and has provided insight into the socioeconomic determinants of disease multimorbidity within a developing country. (C) 2016 The Authors. Published by Elsevier Ltd.

引用

页码：144 / 156

页数：13

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