Evidence map›Paper›PMID 30287672›Full record

ArticleBMJ open2018

Twenty-year time trends in hypertension prevalence in Yi people of China: three successive cross-sectional studies, 1996-2015.

Jia Zhang, Shaoping Wan, Biao Zhang, Fen Dong, Li Pan, Wuli Yihuo, Haiying Gong, Fang Yang, Guodong Xu, Zheng Li and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Leaving Again? Job Quality and Repeat Internal Migration in China.European journal of population = Revue europeenne de demographie · 2026
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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

14 authors at 4 institutions in 1 country.

Jia ZhangDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China.
Shaoping WanSichuan Provincial Hospital, Chengdu, Sichuan, China.
Biao ZhangDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China.
Fen DongInstitute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China.
Li PanDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China.
Wuli YihuoDepartment for Chronic Noncommunicable Diseases Control, Puge County Center for Disease Control and Prevention, Xichang, Sichuan, China.
Haiying GongDepartment for Infections Diseases and Endemic Diseases Control, Fang Shan Center for Disease Control and Prevention, Beijing, China.
Fang YangXichang Municipal Center for Disease Control and Prevention, Xichang, Sichuan, China.
Guodong XuInstitute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China.
Zheng LiXichang Municipal Center for Disease Control and Prevention, Xichang, Sichuan, China.
Guoju LiDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China.
Yanlong LiDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China.
Xiaoyang WangDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China.
Guangliang ShanDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNChina-Japan Friendship Hospital · CNSichuan Center for Disease Control and Prevention · CNSichuan Provincial Hospital of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the trend of hypertension prevalence and related factors in Yi people from 1996 to 2015.

methodsThree successive cross-sectional surveys were conducted in Liangshan Yi Autonomous Prefecture in 1996, 2007 and 2015, respectively. A total of 8448 participants aged 20-80 years (5040 Yi farmers, 3408 Yi migrants) were included in final analysis.

resultsOverall, the age-standardised prevalence of hypertension in migrants was significantly higher than in farmers. Furthermore, the age-standardised prevalence rates increased from 10.1% to 15.3% to 19.6% in Yi migrants and from 4.0% to 6.3% to 13.1% in Yi farmers during 1996 to 2007 to 2015. The highest 2015-to-1996 ratio of age-standardised hypertension prevalence was in male farmers (ratio=4.30), whereas despite the highest prevalence of hypertension, the equivalent figure in male migrants was 1.57. The older age, overweight and obesity were persistent risk factors of hypertension in three periods. After adjusted for age and body mass index, the difference of hypertension prevalence between 1996 and 2015 then vanished in male migrants (OR=1.335; 95% CI: 0.884 to 2.015) and female farmers (OR=1.267; 95% CI: 0.590 to 2.719). The disparities of hypertension prevalence between Yi migrants and farmers were not statistically significant in all subgroups when adjusted for age, body mass index and education.

conclusionsOver the past two decades, the hypertension prevalence in Yi people has significantly increased. Yi migrants were more likely to be hypertensive than Yi farmers which was predominantly driven by the discrepancy of body mass index between them.

Indexed as

FarmersTransients and MigrantsAdultAgedAgricultureChinaCross-Sectional StudiesEducational StatusFemaleHumansHypertensionMaleMiddle AgedOverweightPrevalenceRural PopulationhypertensionmigrantobesitytrendYi People

Identifiers

PMID30287672
PMCPMC6194469
OpenAlexW2895760442

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.