Literature DB >> 19560989

Urbanization and the spread of diseases of affluence in China.

Ellen Van de Poel1, Owen O'Donnell, Eddy Van Doorslaer.   

Abstract

We quantify, track and explain the distribution of overweight and of hypertension across Chinese provinces differentiated by their degree of urbanicity over the period 1991-2004. We construct an index of urbanicity from longitudinal data on community characteristics from the China Health and Nutrition Survey and compute, for the first time, a rank-based measure of inequality in disease risk factors by degree of urbanicity. Prevalence rates of overweight and hypertension almost doubled between 1991 and 2004 and these disease risk factors became less concentrated in more urbanized areas. Decomposition analysis reveals that one-half of the urbanicity-related inequality in overweight is directly attributable to community level characteristics, while for hypertension the contribution of such characteristics increased from 20% in 1991 to 62% in 2004. At the individual level, lower engagement in physical activity and farming explain more than half of the urban concentration of overweight and a rising share (28%) of the greater prevalence of hypertension in more urbanized areas. Higher incomes explain around one-tenth of the urban concentration of both overweight and hypertension, while the education advantage of urban populations has a similar sized offsetting effect.

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Year:  2009        PMID: 19560989     DOI: 10.1016/j.ehb.2009.05.004

Source DB:  PubMed          Journal:  Econ Hum Biol        ISSN: 1570-677X            Impact factor:   2.184


  46 in total

1.  Associations between age, cohort, and urbanization with SBP and DBP in China: a population-based study across 18 years.

Authors:  Samantha M Attard; Amy H Herring; Bing Zhang; Shufa Du; Barry M Popkin; Penny Gordon-Larsen
Journal:  J Hypertens       Date:  2015-05       Impact factor: 4.844

2.  Income distribution and health: can polarization explain health outcomes better than inequality?

Authors:  Ying Yao; Guanghua Wan; Dongfang Meng
Journal:  Eur J Health Econ       Date:  2018-12-04

3.  Urbanisation and human health in China: spatial features and a systemic perspective.

Authors:  Xinhu Li; Cuiping Wang; Guoqin Zhang; Lishan Xiao; Jane Dixon
Journal:  Environ Sci Pollut Res Int       Date:  2012-06-20       Impact factor: 4.223

4.  Understanding community context and adult health changes in China: development of an urbanicity scale.

Authors:  Jessica C Jones-Smith; Barry M Popkin
Journal:  Soc Sci Med       Date:  2010-08-11       Impact factor: 4.634

5.  Multilevel examination of the association of urbanization with inflammation in Chinese adults.

Authors:  Amanda L Thompson; Kelly M Houck; Linda Adair; Penny Gordon-Larsen; Barry Popkin
Journal:  Health Place       Date:  2014-06-05       Impact factor: 4.078

6.  Decomposing socioeconomic inequality for binary health outcomes: an improved estimation that does not vary by choice of reference group.

Authors:  Vasoontara Yiengprugsawan; Lynette Ly Lim; Gordon A Carmichael; Keith Bg Dear; Adrian C Sleigh
Journal:  BMC Res Notes       Date:  2010-03-04

Review 7.  Prevalence and characteristics of hypertension in mainland Chinese adults over decades: a systematic review.

Authors:  L Fang; J Song; Z Ma; L Zhang; C Jing; D Chen
Journal:  J Hum Hypertens       Date:  2014-02-27       Impact factor: 3.012

8.  Physical growth of children and adolescents in China over the past 35 years.

Authors:  Xin-Nan Zong; Hui Li
Journal:  Bull World Health Organ       Date:  2014-06-05       Impact factor: 9.408

9.  Hypertension and Its Associated Factors Among Type 2 Diabetes Mellitus Patients at Debre Tabor General Hospital, Northwest Ethiopia.

Authors:  Yonas Akalu; Yitayeh Belsti
Journal:  Diabetes Metab Syndr Obes       Date:  2020-05-13       Impact factor: 3.168

10.  Access to food outlets and children's nutritional intake in urban China: a difference-in-difference analysis.

Authors:  Rui Wang; Lu Shi
Journal:  Ital J Pediatr       Date:  2012-06-30       Impact factor: 2.638

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