Evidence map›Paper›PMID 37841509›Full record

ArticleInternational journal of hypertension2023

Prevalence of Hypertension and Associated Factors among Residents Aged ≥18 Years in Ganzhou, China: A Cross-Sectional Study.

Junwang Gu, Qi Wang, Wei Qiu, Fen Lin, Chunmei Wu, Ming Hao, Ping Wu

Abstract read
In one paragraph

Article in International journal of hypertension, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. 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

7 authors.

Junwang GuSchool of Public Health and Health Management, Gannan Medical University, Ganzhou 341000, Jiangxi, China.ORCID https://orcid.org/0000-0001-9815-5024
Qi WangSchool of Public Health and Health Management, Gannan Medical University, Ganzhou 341000, Jiangxi, China.ORCID https://orcid.org/0009-0001-7892-3337
Wei QiuSchool of Public Health and Health Management, Gannan Medical University, Ganzhou 341000, Jiangxi, China.ORCID https://orcid.org/0009-0001-9985-8343
Fen LinSchool of Public Health and Health Management, Gannan Medical University, Ganzhou 341000, Jiangxi, China.ORCID https://orcid.org/0009-0006-0981-0554
Chunmei WuSchool of Public Health and Health Management, Gannan Medical University, Ganzhou 341000, Jiangxi, China.ORCID https://orcid.org/0000-0002-6721-544X
Ming HaoSchool of Public Health and Health Management, Gannan Medical University, Ganzhou 341000, Jiangxi, China.ORCID https://orcid.org/0000-0001-7402-9234
Ping WuSchool of Public Health and Health Management, Gannan Medical University, Ganzhou 341000, Jiangxi, China.ORCID https://orcid.org/0009-0000-0668-398X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Reliable epidemiologic data on the present burden of hypertension are needed in developing region-specific strategies since previous studies have suggested that China is lagging in risk factor management. Objective: The study aimed at exploring the prevalence of hypertension and its associated factors among adult residents in Ganzhou, China. Results: The prevalence of hypertension in Ganzhou was 28.5%, and the age-standardized prevalence of hypertension was 22.4%. Univariate logistic regression analysis revealed that multiple variables have a statistically significant effect on the prevalence of hypertension. The elderly (odds ratio [95% CI]: 2.791 [2.594-3.004]), men (1.805 [1.583-2.058]), lower educated (0.848 [0.805-0.893]), a family history of hypertension (4.575 [3.900-5.368]), higher body mass index (1.344 [1.215-1.488]), central obesity (1.532 [1.304-1.799]), and less vegetable intake (1.150 [1.023-1.294]) were the major risk factors for hypertension. Conclusion: Hypertension is a major public health problem in Ganzhou and requires much effort to reduce its prevalence. An effective multifaceted implementation strategy is highly desirable to combat the emerging burden of hypertension.

Identifiers

PMID37841509
PMCPMC10569894

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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.