Evidence map›Paper›PMID 34394232›Full record

ArticleAfrican health sciences2020

The prevalence of hypertension and influencing factors among the employees of a university hospital.

Seher Kurtul, Funda Kaya Ak, Meral Türk

Open access · diamondAbstract read
In one paragraph

Article in African health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 16% 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, 26 citations in OpenAlex.

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  12. Editor's choice: this December 2020.African health sciences · 2020
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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

3 authors at 1 institution in 1 country.

Seher KurtulDepartment of Occupational Disease, Ege University Faculty of Medicine, Izmir, Turkey. seherkurtul79@gmail.com.
Funda Kaya AkDepartment of Occupational Disease, Ege University Faculty of Medicine, Izmir, Turkey. funda292kaya@hotmail.com.
Meral TürkDepartment of Occupational Disease, Ege University Faculty of Medicine, Izmir, Turkey. meralturk2010@gmail.com.
Ege University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension is a serious disease with increasing worldwide prevalence, leading to life-threatening complications.

methodsThis cross-sectional study was carried out in a university hospital. The Occupational Health and Safety Unit data concerning the health examinations of employees were used to determine the prevalence of hypertension in a university hospital and to define the relationship between hypertension and sociodemographic and occupational parameters. Logistic regression analyses were performed for the variables having a significant association with high blood pressure.

resultsThe data generated during the periodic examination of 3,480 (92%) of all employees (3,780) were analyzed. The prevalence of hypertension was 14.8%. The prevalence of hypertension was found to be 13.5%, 13.9%, and 23.7% among physicians, non-physician healthcare personnel and officers respectively. The logistic regression model revealed a statistically significant correlation between hypertension and male gender, age and BMI.

conclusionThe prevalence of hypertension was highest among staff members. Special programs would facilitate the diagnosis, control, and prevention of high blood pressure among the high-risk groups, especially men, the elderly and the obese hospital employees.

Indexed as

AdultBlood PressureCross-Sectional StudiesFemaleHospitals, UniversityHumansHypertensionMaleMiddle AgedObesityOccupational HealthPersonnel, HospitalPrevalenceRisk FactorsSocioeconomic Factorshealth care workerhospitalHypertension

Identifiers

PMID34394232
PMCPMC8351867
OpenAlexW3113241068

What OpenQuestion holds

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LicenceCC BY
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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.