Evidence map›Paper›PMID 32522178›Full record

ArticleBMC public health2020

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

Kun Tang, Yu Zhang, Hanyu Wang, Shi Hui Tan, Lin Bai, Yuning Liu

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Kun TangVanke School of Public Health, Tsinghua University, Beijing, China. tangk@mail.tsinghua.edu.cn.ORCID http://orcid.org/0000-0002-5444-186X
Yu ZhangSchool of Health Humanities, Peking University Health Science Center, Beijing, China.
Hanyu WangSchool of Health Humanities, Peking University Health Science Center, Beijing, China.
Shi Hui TanSchool of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Lin BaiSchool of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China.
Yuning LiuSchool of Public Health, Peking University Health Science Center, Beijing, China.
Peking University · CNVanke (China) · CN

Funding

Cancer Research UK 29186Medical Research Council MC_U137686851Medical Research Council MC_UU_00017/1Medical Research Council MC_UU_12026/2Wellcome Trust 212946/Z/18/Z
6 · The paper itself

Abstract

backgroundHypertension 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.

methodsThis 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.

resultsThe 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.

conclusionsThe 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.

Indexed as

AdultAgedBlood PressureChinaEconomic DevelopmentFemaleHumansHypertensionIncomeLife StyleLogistic ModelsMaleMiddle AgedPrevalenceSex FactorsSocioeconomic FactorsChinaGender differencesHousehold incomePrevalence of hypertensionRegional economic development

Identifiers

PMID32522178
PMCPMC7288507
OpenAlexW3032901712

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.