Evidence map›Paper›PMID 34996807›Full record

ArticleJournal of epidemiology and community health2022

Association of education levels with the risk of hypertension and hypertension control: a nationwide cohort study in Chinese adults.

Kan Sun, Diaozhu Lin, Mian Li, Yiming Mu, Jiajun Zhao, Chao Liu, Yufang Bi, Lulu Chen, Lixin Shi, Qiang Li and 22 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of epidemiology and community health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
9.4field-weighted citation impact, top 1% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Health literacy of patients hospitalized for digestive surgeries.Revista da Escola de Enfermagem da U S P · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Prediction of hypertension and diabetes in twin pregnancy using machine learning model based on characteristics at first prenatal visit: national registry study.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2025
    Article
  18. Article
  19. Article
  20. 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

32 authors at 20 institutions in 1 country.

Kan SunDepartment of Endocrinology, Sun Yat-Sen University, Guangzhou, China.
Diaozhu LinDepartment of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China.ORCID http://orcid.org/0000-0002-8488-5269
Mian LiShanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China.
Yiming MuDepartment of Endocrinology, Chinese People's Liberation Army General Hospital, Beijing, China.ORCID http://orcid.org/0000-0002-3344-3540
Jiajun ZhaoDepartment of Endocrinology, Shandong Provincial Hospital, Jinan, Shandong, China.
Chao LiuJiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, Jiangsu, China.
Yufang BiShanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China.
Lulu ChenUnion Hospital, Tong-ji Medical College, Hua-zhong University of Science and Technology, Wuhan, China, Wuhan, China.
Lixin ShiAffiliated Hospital of Guiyang Medical College, Guiyang, China.
Qiang LiSecond Affiliated Hospital of Harbin Medical University, Harbin, China.
Tao YangJiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing, Jiangsu, China.
Qin WanAffiliated Hospital of Luzhou Medical College, Luzhou, China.
Shengli WuKaramay Municipal People's Hospital, Xinjiang, China.
Guixia WangDepartment of Endocrinology, Jilin University First Hospital, Changchun, Jilin, China.
Zuojie LuoDepartment of Endocrinology, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi, China.
Yingfen QinDepartment of Endocrinology, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi, China.
Xulei TangDepartment of Endocrinology, Lanzhou University First Affiliated Hospital, Lanzhou, Gansu, China.
Gang ChenDepartment of Endocrinology, Fujian Provincial Hospital, Fuzhou, Fujian, China.ORCID http://orcid.org/0000-0002-8105-2384
Yanan HuoDepartment of Endocrinology, Jiangxi Provincial People's Hospital, Nanchang, Jiangxi, China.
Zhengnan GaoDepartment of Endocrinology, Center Hospital of Dalian, Dalian, China.
Qing SuDepartment of Endocrinology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.
Zhen YeZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Ruying HuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Youmin WangDepartment of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Guijun QinDepartment of Endocrinology, Zhengzhou University First Affiliated Hospital, Zhengzhou, Henan, China.
Huacong DengDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, Sichuan, China.
Xuefeng YuDepartment of Endocrinology, Huazhong University of Science and Technology, Wuhan, China.
Feixia ShenDepartment of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Li ChenDepartment of Endocrinology, Shandong University Qilu Hospital, Jinan, Shandong, China.
Weiqing WangDepartment of Endocrinology, Shanghai National Research Center for Endocrine and Metabolic Disease, State Key Laboratory of Medical Genomics, Shanghai Institute for Endocrine and Metabolic Disease, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China.
Guang NingDepartment of Endocrinology, Shanghai National Research Center for Endocrine and Metabolic Disease, State Key Laboratory of Medical Genomics, Shanghai Institute for Endocrine and Metabolic Disease, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China.
Li YanDepartment of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, Guangdong, China hfxyl@163.net.
Shanghai Jiao Tong University · CNSun Yat-sen University · CNGuangxi Medical University · CNJiangsu Province Hospital · CNUnion Hospital · CNZhejiang Center for Disease Control and Prevention · CNAnhui Medical University · CNChinese People's Liberation Army · CNFirst Affiliated Hospital of Zhengzhou University · CNFirst Hospital of Lanzhou University · CNFujian Provincial Hospital · CNHarbin Medical University · CNHuazhong University of Science and Technology · CNJiangxi Provincial People's Hospital · CNJilin University · CNKaramay Central Hospital · CNSeventh People's Hospital of Dalian · CNShandong Provincial Hospital · CNSouthwest Medical University · CNThe Affiliated Yongchuan Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEducation attainment can improve life expectancy and guide healthy behaviours throughout an entire lifetime. A nationwide longitudinal study of the association of education status with the risk of hypertension and its control in China is lacking.

methodsThe China Cardiometabolic Disease and Cancer Cohort Study is a multicentre, population-based, prospective cohort study. We performed the baseline survey from 2011 to 2012. A follow-up visit was conducted during 2014-2016. 101 959 subjects were included in the final data analyses. Cox proportional hazards regression was used to examine the associations of education levels with the risk of hypertension and uncontrolled hypertension.

resultsDuring follow-up, 11 189 (19.9%) participants had developed hypertension among subjects without hypertension at baseline. Among the participants with hypertension at baseline, only 40.6% had controlled hypertension. Compared with the participants' education level at elementary school and below, the multivariable-adjusted HR for incident hypertension was 0.76 (95% CI, 0.72 to 0.80) in those with a middle school education level and 0.67 (95% CI, 0.63 to 0.70) in those with a high school degree or above. Correspondingly, multivariable-adjusted HRs associated with uncontrolled hypertension were 0.90 (95% CI, 0.87 to 0.92) in participants with a middle school education level and 0.85 (95% CI, 0.82 to 0.88) in participants with a high school degree or above level.

conclusionParticipants with education attainment at elementary school and below exhibited excess risks of newly diagnosed hypertension and worse blood pressure control compared with individuals with education attainment at middle school or above.

Indexed as

cohort studieseducationhypertension

Identifiers

PMID34996807
PMCPMC8995829
OpenAlexW4206620085

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.