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Geographic distribution of cardiovascular comorbidities in South Africa: a national cross-sectional analysis

机译:南非心血管合并症的地理分布:国家横断面分析

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摘要

Objectives: We sought to estimate the spatial coexistence of hypertension, coronary heart disease (CHD), stroke and hypercholesterolaemia in South Africa. Design: Cross-sectional. Setting: Sub-Saharan Africa and South Africa. Participants: Data were from 13,827 adults (mean ± SD age39 ± 18 years, 58.4% women) interviewed in the 1998 South African Health and Demographic Survey. Interventions: N/A. Primary and secondary outcome measures: We used multivariate spatial disease models to estimate district-level shared and disease-specific spatial risk components, controlling for known individual risk factors. Results: In univariate analysis, observed prevalence of hypertension and CHD is was high in the south-western parts, and low in the north east. Stroke and high blood cholesterol prevalence appeared to be evenly distributed across the country. In multivariate analysis (adjusting for age, gender, ethnicity, education, urban-dwelling, smoking, alcohol consumption and obesity), hypertension and stroke prevalence were highly concentrated in the south-western parts, whilst CHD and hypercholesterolaemia were highly prevalent in central and top north-eastern corridor, respectively. The shared component, which we took to represent nutrition and other lifestyle factors not accounted for in the model, had a larger effect on cardiovascular disease prevalence in the south-western areas of the country. It appeared to have greater effect on hypertension and CHD. Conclusion: This study suggests a clear geographic distribution of cardiovascular disease in South Africa, driven possibly by shared lifestyle behaviours. These findings might be useful for public health resource allocation in low-income settings.
机译:目的:我们试图评估南非高血压,冠心病(CHD),中风和高胆固醇血症的空间共存性。设计:横截面。地点:撒哈拉以南非洲和南非。参加者:数据来自1998年南非健康与人口调查中接受调查的13827名成年人(平均年龄±SD年龄39±18岁,女性占58.4%)。干预措施:N / A。主要和次要结局指标:我们使用多元空间疾病模型来估计地区级共享和特定疾病的空间风险成分,以控制已知的个体风险因素。结果:单因素分析显示,高血压和冠心病的患病率在西南地区较高,而在东北地区较低。中风和高血脂患病率似乎在全国范围内平均分布。在多变量分析(针对年龄,性别,种族,教育,城市居民,吸烟,饮酒和肥胖症进行调整)中,高血压和中风的发生率高度集中在西南地区,而冠心病和高胆固醇血症则在中部和南部地区非常普遍。东北走廊的顶部。我们用来代表模型中未考虑的营养和其他生活方式因素的共享成分,对该国西南地区的心血管疾病患病率有较大影响。它似乎对高血压和冠心病有更大的作用。结论:这项研究表明南非心血管疾病的明确地理分布,可能是由共同的生活方式引起的。这些发现对于在低收入环境中分配公共卫生资源可能有用。

著录项

  • 来源
    《Journal of applied statistics》 |2014年第6期|1203-1216|共14页
  • 作者单位

    Division of Health Sciences, University of Warwick Medical School, Medical School Building, Gibbet Hill Road, Coventry CV4 7 AL, UK,Malaria Public Health and Epidemiology Group, KEMRI-University of Oxford-Wellcome Trust Collaborative Programme, Centre for Geographic Medicine, University of Oxford, Nairobi, Kenya,Division of Epidemiology and Biostatistics, School of Public Health, University of Witwatersrand, Johannesburg, South Africa;

    Biostatistics Unit, South African Medical Research Council, 1 Soutpansberg Road, Private Bag x385, 0001 Pretoria, South Africa,School of Mathematics, Statistics and Computer Science, University of Kwazulu-Natal, King Edward Avenue, Private Bag X01, Scottsville 3209, South Africa;

    Division of Health Sciences, University of Warwick Medical School, Medical School Building, Gibbet Hill Road, Coventry CV4 7 AL, UK;

    School of Mathematics, Statistics and Computer Science, University of Kwazulu-Natal, King Edward Avenue, Private Bag X01, Scottsville 3209, South Africa;

    Division of Health Sciences, University of Warwick Medical School, Medical School Building, Gibbet Hill Road, Coventry CV4 7 AL, UK;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    lifestyle; dietary patterns; non-communicable diseases; joint spatial models;

    机译:生活方式;饮食习惯;非传染性疾病;联合空间模型;

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