Evidence map›Paper›PMID 31262290›Full record

ArticleBMC health services research2019

Prevalence and income-related equity in hypertension in rural China from 1991 to 2011: differences between self-reported and tested measures.

Dan Cao, Zhongliang Zhou, Yafei Si, Xiao Xiao, Xiao Wang, Chi Shen, Yangling Ren, Min Su, Shuyi He, Jianmin Gao

Abstract read
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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

10 authors.

Dan CaoSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Zhongliang ZhouSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, People's Republic of China. zzliang1981@163.com.
Yafei SiSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Xiao XiaoSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Xiao WangInternational Business School Suzhou, Xi'an Jiaotong-Liverpool University, Suzhou, People's Republic of China.
Chi ShenSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Yangling RenSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Min SuSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Shuyi HeInternational Business School Suzhou, Xi'an Jiaotong-Liverpool University, Suzhou, People's Republic of China.
Jianmin GaoSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, People's Republic of China.

Funding

China Medical Board 15-277China Medical Board 16-262National Natural Science Foundation of China 71874137Research Program of Shaanxi Soft Science 2015KRM117Shaanxi Social Science Foundation 2017S024
6 · The paper itself

Abstract

backgroundAlong with economic growth and living standard improvement, hypertension has become one of the most prevalent chronic diseases in China. Self-reported measures and tested measures of hypertension may differ significantly due to the low awareness of prevalence. The objective of this study is to figure out whether and how self-reported measures differ from tested measures in terms of prevalence and equity.

methodWe have used data from the China Health and Nutrition Survey database from 1991 to 2011 and extracted the data of rural areas using hukou system. Hypertension is categorized into two groups: self-reported hypertension and tested hypertension. To evaluate the equity of self-reported hypertension and tested hypertension, we calculated their Concentration Index (C) and decomposed C based on which we have obtained the horizontal-inequity index (HI) of each year. Probit Model was deployed to analyze the key determinants of hypertension prevalence.

resultsWe found that the prevalence of both self-reported hypertension and tested hypertension have sharply increased from 1991 to 2011 in rural China and the population of tested hypertension was significantly larger than that of self-reported hypertension. For self-reported hypertension, prevalence rate increased from 2.72 to 13.2% and for tested hypertension it increased from 11.01 to 25.05%. Both of the Concentration Index (C) and horizontal-inequity index (HI) of self-reported hypertension and tested hypertension appeared to be contradictory. The C and HI of self-reported hypertension in 2011 were 0.032 and 0.060 respectively while the C and HI of tested hypertension were - 0.024 and - 0.015 respectively.

conclusionMore efforts should be put into for improving the poor's health, especially in equal access to health services. Symptom-based measures such as tested hypertension should be adopted more widely in empirical studies.

Indexed as

Health EquitySelf ReportChinaHealth Care SurveysHumansHypertensionIncomePrevalenceRural PopulationConcentration indexEquitySelf-reported hypertensionTested hypertension

Identifiers

PMID31262290
PMCPMC6604163

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.