Evidence map›Paper›PMID 34736420›Full record

ArticleBMC cardiovascular disorders2021

Prevalence, awareness, treatment, and control of hypertension in Northern China: a cross-sectional study.

Xiaoqian Xu, Han Bao, Zixuan Tian, Hao Zhu, Lige Zhu, Liwei Niu, Tao Yan, Hairong Dong, Xin Fang, Xingguang Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

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

  1. Pooled it
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  9. Association study ofFrontiers in genetics · 2023
    Article
  10. Simple renal cyst as an independent risk factor for hypertension.Journal of clinical hypertension (Greenwich, Conn.) · 2022
    Article
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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

10 authors at 3 institutions in 1 country.

Xiaoqian Xu *School of Public Health, Inner Mongolia Medical University, Hohhot, Inner Mongolia, People's Republic of China.
Han Bao *School of Public Health, Inner Mongolia Medical University, Hohhot, Inner Mongolia, People's Republic of China.
Zixuan TianSchool of Public Health, Inner Mongolia Medical University, Hohhot, Inner Mongolia, People's Republic of China.
Hao ZhuSchool of Public Health, Inner Mongolia Medical University, Hohhot, Inner Mongolia, People's Republic of China.
Lige ZhuDepartment of Nephrology, Inner Mongolia People's Hospital, Hohhot, Inner Mongolia, People's Republic of China.
Liwei NiuSchool of Public Health, Inner Mongolia Medical University, Hohhot, Inner Mongolia, People's Republic of China.
Tao YanSchool of Public Health, Inner Mongolia Medical University, Hohhot, Inner Mongolia, People's Republic of China.
Hairong DongDepartment of Clinical Laboratory, Hohhot First Hospital, Hohhot, Inner Mongolia, People's Republic of China.
Xin FangSchool of Public Health, Inner Mongolia Medical University, Hohhot, Inner Mongolia, People's Republic of China. 532406217@qq.com.
Xingguang ZhangSchool of Public Health, Inner Mongolia Medical University, Hohhot, Inner Mongolia, People's Republic of China. zxg311@126.com.ORCID 0000-0002-3295-0890
Inner Mongolia Medical University · CNInner Mongolia People's Hospital · CNHohhot First Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension has always been a worldwide health concern. The purpose of this study was to investigate the prevalence, awareness, treatment, and control rates of hypertension among adult residents of northern China, where people usually have a high-fat, high-salt diet and heavy alcohol consumption.

methodsThrough the Early Screening and Comprehensive Intervention Project for High Risk Groups of Cardiovascular Diseases in the Inner Mongolia of northern China, we collected data of 70,380 residents, from September 2015 to June 2017. We assessed the prevalence, awareness, treatment, and control of hypertension in the total population and sub-populations. Multivariable logistic regression analyses were used to identify the factors associated with the prevalence and control of hypertension.

resultsAmong participants, only 13.4% had optimal blood pressure levels. About 55.7% (95% confidence interval (CI) = 55.3-56.1%) of the participants had hypertension. In addition, the awareness, treatment, control and control under-treatment rate of hypertension were 52.8% (95%CI = 52.3-53.3%), 43.3% (95%CI = 42.8-43.8%), 8.6% (95%CI = 8.3-8.9%) and 19.8% (95%CI = 19.2-20.4%), respectively. Multivariable logistic regression showed that older, male, Han, living in rural areas, current drinker, not married, lower educational level, lower annual income, diabetes, obesity, and dyslipidemia were more likely to be suffered from hypertension (P < 0.05). Controlled hypertension was less common in those younger, Mongol, not married, farmer, current drinker, lower educational level, obesity, diabetes, without prior CHD, and without prior CVD (P < 0.05).

conclusionAmong populations aged 35-75 years in Northern China, more than half have hypertension, fewer than one-tenth have successfully controlled hypertension, and fewer than one-fifth of hypertension patients receiving treatment have controlled hypertension.

Indexed as

Health Knowledge, Attitudes, PracticeHypertensionAdultAgedAlcohol DrinkingChinaCross-Sectional StudiesDiabetes MellitusDyslipidemiasFemaleHeart Disease Risk FactorsHumansLogistic ModelsMaleMiddle AgedObesityAssociated factorsBlood pressureChinaControlHypertension epidemiologyPrevalence

Identifiers

PMID34736420
PMCPMC8567672
OpenAlexW3119703793

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.