Regional economic development, household income, gender and hypertension: evidence from half a million Chinese

Abstract Background Hypertension may be influenced by multiple factors, including social and individual determinants. Regional and individual economic disparity in China is closely associated with such factors that may give rise to diverse health outcomes. This study examines the relationship betwee...

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Main Authors: Kun Tang (Author), Yu Zhang (Author), Hanyu Wang (Author), Shi Hui Tan (Author), Lin Bai (Author), Yuning Liu (Author)
Format: Book
Published: BMC, 2020-06-01T00:00:00Z.
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001 doaj_cdd547f7d62c47b6af4154070a7392b4
042 |a dc 
100 1 0 |a Kun Tang  |e author 
700 1 0 |a Yu Zhang  |e author 
700 1 0 |a Hanyu Wang  |e author 
700 1 0 |a Shi Hui Tan  |e author 
700 1 0 |a Lin Bai  |e author 
700 1 0 |a Yuning Liu  |e author 
245 0 0 |a Regional economic development, household income, gender and hypertension: evidence from half a million Chinese 
260 |b BMC,   |c 2020-06-01T00:00:00Z. 
500 |a 10.1186/s12889-020-09002-y 
500 |a 1471-2458 
520 |a Abstract Background Hypertension may be influenced by multiple factors, including social and individual determinants. Regional and individual economic disparity in China is closely associated with such factors that may give rise to diverse health outcomes. This study examines the relationship between regional economic development, household income, gender and hypertension prevalence in China. Methods This study utilized data from the China Kadoorie Biobank (CKB), a population-based study on half a million Chinese adults from 10 geographically distinct regions. Hypertension was identified by a measured systolic blood pressure/diastolic blood pressure ≥ 140/90 mmHg or receiving treatment. Regional economic development was inferred from GDP per capita at the time of the study. A logistic regression based method was used in calculating the prevalence of hypertension in different household income, regional economic development, and gender groups, adjusting for demographic, social-economic and lifestyle factors. Results The prevalence of hypertension was the lowest in the medium GDP per capita areas in both male (31.62, 95% CI: 31.26-31.98%) and female (22.85, 95% CI: 22.50-23.19%) as compared to that in the low GDP per capita regions (male: 32.75, 95% CI 32.41-33.08%; female: 32.12, 95% CI: 31.78-32.47%) and high GDP per capita areas (male: 39.74, 95% CI: 39.33-40.16%; female: 35.19, 95% CI: 34.74-35.65%). There was an inverse relationship between hypertension and household income in the low and high GDP areas and an U-shaped association in the medium GDP per capita areas. Higher hypertension prevalence was observed in males across all GDP per capita areas. The negative correlation between hypertension and household income (across all GDP per captia areas) was stronger in females than in males. Conclusions The present study underlined the important influence of regional economic development, household income and gender on hypertension. Interventions for hypertension prevention and management should take into consideration the influence of sex difference and socioeconomic disparities at both micro- and macro- levels, in addition to a person-centered approach. 
546 |a EN 
690 |a Regional economic development 
690 |a Prevalence of hypertension 
690 |a Gender differences 
690 |a Household income 
690 |a China 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n BMC Public Health, Vol 20, Iss 1, Pp 1-12 (2020) 
787 0 |n http://link.springer.com/article/10.1186/s12889-020-09002-y 
787 0 |n https://doaj.org/toc/1471-2458 
856 4 1 |u https://doaj.org/article/cdd547f7d62c47b6af4154070a7392b4  |z Connect to this object online.