Evidence map›Paper›PMID 36864813›Full record

ArticleCroatian medical journal2023

Undiagnosed hypertension in Croatia.

Ana Ivičević Uhernik, Verica Kralj, Petra Čukelj, Ivana Brkić-Biloš, Marijan Erceg, Tomislav Benjak, Ranko Stevanović

Open access · diamondFull text read
In one paragraph

Article in Croatian medical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 19 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

7 authors at 1 institution in 1 country.

Ana Ivičević UhernikIvičević Uhernik, Division for Public Health, Croatian Institute for Public Health, Rockefeller str. 7, 10000 Zagreb, Croatia, ana.ivicevic@hzjz.hr.
Verica Kralj
Petra Čukelj
Ivana Brkić-Biloš
Marijan Erceg
Tomislav Benjak
Ranko Stevanović
Hrvatski zavod za javno zdravstvo · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo determine the prevalence of undiagnosed hypertension in Croatia, and to assess its association with various demographic, socioeconomic, lifestyle, and health care usage factors.

methodsWe used the data from European Health Interview Survey wave 3, conducted in Croatia in 2019. The representative sample consisted of 5461 individuals aged 15 years and older. The association of undiagnosed hypertension with various factors was assessed with simple and multiple logistic regression models. The factors that contribute to undiagnosed hypertension were identified by comparing undiagnosed hypertension with normotension in the first model and with diagnosed hypertension in the second model.

resultsIn the multiple logistic regression model, women and older age groups had lower adjusted odds ratio (OR) for undiagnosed hypertension than men and the youngest age group. Respondents living in the Adriatic region had a higher adjusted OR for undiagnosed hypertension than those living in the Continental region. Respondents who did not consult their family doctor in the previous 12 months and those who did not have their blood pressure measured by a health professional in the previous 12 months had a higher adjusted OR for undiagnosed hypertension.

conclusionUndiagnosed hypertension was significantly associated with male sex, age from 35 to 74, overweight, lack of consultation with a family doctor, and living in the Adriatic region. The results of this study should be used to inform preventive public health measures and activities.

Indexed as

HypertensionAgedBlood PressureCroatiaFemaleHealth PersonnelHumansLife StyleMale

Identifiers

PMID36864813
PMCPMC10028561
OpenAlexW4323037326

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read44
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.