Evidence map›Paper›PMID 31850155›Full record

ArticlePeerJ2019

The urban-rural disparity in the prevalence and risk factors of hypertension among the elderly in China-a cross-sectional study.

Hongxun Song, Da Feng, Ruoxi Wang, Jian Yang, Yuanqing Li, Junliang Gao, Zi Wang, Ziqi Yan, Chengxu Long, Jiawei Zhou and 1 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 22 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

11 authors at 1 institution in 1 country.

Hongxun SongSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Hubei Province, People's Republic of China, Department of Health Management, Wuhan, Hubei, China.
Da FengSchool of Pharmacy, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, China.
Ruoxi WangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Hubei Province, People's Republic of China, Department of Health Management, Wuhan, Hubei, China.
Jian YangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Hubei Province, People's Republic of China, Department of Health Management, Wuhan, Hubei, China.
Yuanqing LiSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Hubei Province, People's Republic of China, Department of Health Management, Wuhan, Hubei, China.
Junliang GaoSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Hubei Province, People's Republic of China, Department of Health Management, Wuhan, Hubei, China.
Zi WangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Hubei Province, People's Republic of China, Department of Health Management, Wuhan, Hubei, China.
Ziqi YanSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Hubei Province, People's Republic of China, Department of Health Management, Wuhan, Hubei, China.
Chengxu LongSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Hubei Province, People's Republic of China, Department of Health Management, Wuhan, Hubei, China.
Jiawei ZhouSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Hubei Province, People's Republic of China, Department of Health Management, Wuhan, Hubei, China.
Zhanchun FengSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Hubei Province, People's Republic of China, Department of Health Management, Wuhan, Hubei, China.
Huazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study aimed to assess the prevalence of hypertension and to explore the disparities of its risk factors among urban and rural elderly.

methodData of hypertensive patients were collected from the China Health and Retirement Longitudinal Study (CHARLS) 2015. Stratified sample households were selected from 450 villages or communities of 150 counties from 28 provinces. Multivariable logistic regression was performed to analyze the factors correlated with hypertension.

resultsPrevalence of HBP was 47.6% (95% CI [45.2%-50.1%]) in total and it was close between urban and rural population (48.6% vs 47.2%). Factors associated with HBP were different between urban and rural areas. In urban areas, hypertension was significantly associated with literacy and diabetes in both genders, high BMI level and smoke quitters in males, and physical activity and dyslipidemia in females. In rural areas, hypertension was significantly associated with older age, higher BMI level in both males and females, and dyslipidemia in males.

conclusionsThe prevalence are about the same among urban and rural residents, but their risk factors vary from each other. Disparity in the risk factors between urban and rural population should be taken into consideration for further intervention.

Indexed as

ChineseHypertensionPrevalenceRisk factorsRuralUrban

Identifiers

PMID31850155
PMCPMC6916758
OpenAlexW2986109691

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.