Comparison of two approaches for measuring household wealth via an asset-based index in rural and peri-urban settings of Hunan province, China

被引：61

作者：

Balen J. ^{[1
,2
,3
,4
]}

McManus D.P. ^{[1
]}

Li Y.-S. ^{[1
,5
]}

Zhao Z.-Y. ^{[5
,6
]}

Yuan L.-P. ^{[5
]}

Utzinger J. ^{[7
,8
]}

Williams G.M. ^{[2
]}

Li Y. ^{[1
,5
]}

Ren M.-Y. ^{[5
]}

Liu Z.-C. ^{[5
]}

Zhou J. ^{[5
]}

Raso G. ^{[1
,2
,7
,8
,9
]}

机构：

[1] Queensland Institute of Medical Research, P.O. Royal Brisbane Hospital, Brisbane

[2] School of Population Health, University of Queensland, Brisbane, QLD 4029, Herston Road

[3] Centre for Non-Traditional Security Studies, S. Rajaratnam School of International Studies, Nanyang Technological University, Singapore, Nanyang Avenue

[4] Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London WC1 H 9SH

[5] Hunan Institute of Parasitic Diseases, Yueyang 414000, Huabanqiao Road

[6] School of Public Health, Central South University

[7] Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, CH-4002 Basel, P.O. Box

[8] University of Basel, CH-4003 Basel, P.O. Box

[9] Département Environnement et Santé, Centre Suisse de Recherches Scientifiques en Côte d'Ivoire, Abidjan 01

来源：

Emerging Themes in Epidemiology | / 7卷 / 1期

基金：

英国惠康基金; 英国医学研究理事会;

关键词：

Principal Component Analysis; Exploratory Factor Analysis; Hunan Province; Rural Setting; Principal Axis Factoring;

D O I：

10.1186/1742-7622-7-7

中图分类号：

学科分类号：

摘要：

Background. There are growing concerns regarding inequities in health, with poverty being an important determinant of health as well as a product of health status. Within the People's Republic of China (P.R. China), disparities in socio-economic position are apparent, with the rural-urban gap of particular concern. Our aim was to compare direct and proxy methods of estimating household wealth in a rural and a peri-urban setting of Hunan province, P.R. China. Methods. We collected data on ownership of household durable assets, housing characteristics, and utility and sanitation variables in two village-wide surveys in Hunan province. We employed principal components analysis (PCA) and principal axis factoring (PAF) to generate household asset-based proxy wealth indices. Households were grouped into quartiles, from 'most wealthy' to 'most poor'. We compared the estimated household wealth for each approach. Asset-based proxy wealth indices were compared to those based on self-reported average annual income and savings at the household level. Results. Spearman's rank correlation analysis revealed that PCA and PAF yielded similar results, indicating that either approach may be used for estimating household wealth. In both settings investigated, the two indices were significantly associated with self-reported average annual income and combined income and savings, but not with savings alone. However, low correlation coefficients between the proxy and direct measures of wealth indicated that they are not complementary. We found wide disparities in ownership of household durable assets, and utility and sanitation variables, within and between settings. Conclusion. PCA and PAF yielded almost identical results and generated robust proxy wealth indices and categories. Pooled data from the rural and peri-urban settings highlighted structural differences in wealth, most likely a result of localized urbanization and modernization. Further research is needed to improve measurements of wealth in low-income and transitional country contexts. © 2010 Balen et al; licensee BioMed Central Ltd.

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