Evidence mapPaperPMID 29473870Full record

ArticleInternational journal of environmental research and public health2018

Prevalence and Gender-Specific Influencing Factors of Hypertension among Chinese Adults: A Cross-Sectional Survey Study in Nanchang, China.

Hui Zhou, Kai Wang, Xiaojun Zhou, Shiying Ruan, Shaohui Gan, Siyuan Cheng, Yuanan Lu

Open access · goldAbstract readComparative Study
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Spatio-Temporal Variation of Gender-Specific Hypertension Risk: Evidence from China.International journal of environmental research and public health · 2019
    Article
  4. Article
  5. 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

7 authors at 2 institutions in 2 countries.

Hui ZhouJiangxi Province Key Laboratory of Preventive Medicine, School of Public Health, Nanchang University, Nanchang, Jiangxi 330006, China. zhouhui115658@163.com.ORCID 0000-0002-8051-0996
Kai WangSchool of Medicine, Nanchang University, Nanchang, Jiangxi 330006, China. 416523216406@email.ncu.edu.cn.
Xiaojun ZhouJiangxi Province Key Laboratory of Preventive Medicine, School of Public Health, Nanchang University, Nanchang, Jiangxi 330006, China. zxj12zxj@sohu.com.
Shiying RuanJiangxi Province Key Laboratory of Preventive Medicine, School of Public Health, Nanchang University, Nanchang, Jiangxi 330006, China. rsy@nuc.edu.cn.
Shaohui GanJiangxi Province Key Laboratory of Preventive Medicine, School of Public Health, Nanchang University, Nanchang, Jiangxi 330006, China. g695297@163.com.
Siyuan ChengDepartment of Public Health Sciences, University of Hawaii at Mānoa, Honolulu, HI 96822, USA. 313279@stu.wvusd.org.
Yuanan LuDepartment of Public Health Sciences, University of Hawaii at Mānoa, Honolulu, HI 96822, USA. yuanan@hawaii.edu.
Nanchang University · CNUniversity of Hawaiʻi at Mānoa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension has become the leading cause of death worldwide; data on hypertension among Nanchang adults are sparse. The aim of this study was to investigate the prevalence and gender-specific influencing factors of hypertension in adults in Nanchang, China. A cross-sectional survey was conducted with a representative sample of 2722 Chinese residents aged 18 years and above between May and September 2016, with a response rate of 92.4% (2516/2722). A stratified cluster sampling method was adopted in this study. Data on prevalence and influencing factors were obtained from a standard questionnaire and physical measurements. Univariate and multivariate logistic regressions were performed to analyze the influencing factors. The age-standardized prevalence was 19.8% (18.2-21.3) (male: 19.5% (18.0-21.1); female, 20.01% (18.5-21.6)). Factors positively associated with hypertension prevalence were past smoking, diabetes mellitus (DM), and overweight and obesity in both genders. Abdominal obesity and family history of cardiovascular diseases (CVD) were risk factors only in males; sleeping time and consumption of fresh vegetables and fruits were related to the prevalence of hypertension only in females. These findings will form the baseline information for the development of more effective approaches to enhance current prevention and control management of hypertension.

Indexed as

Sex FactorsAdolescentAdultAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansHypertensionMaleMiddle AgedPrevalenceRisk AssessmentRisk FactorsSurveys and QuestionnairesChinagender-specifichypertensioninfluencing factorsprevalence

Identifiers

PMID29473870
PMCPMC5858451
OpenAlexW2793895511

What Socratic 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 Socratic graph.