Evidence map›Paper›PMID 30419828›Full record

ArticleBMC medical research methodology2018

Subgroups of lifestyle patterns among hypertension patients: a latent-class analysis.

Jalileh Ghanbari, Asghar Mohammadpoorasl, Leila Jahangiry, Mahdieh Abbasalizad Farhangi, Jamileh Amirzadeh, Koen Ponnet

Open access · goldAbstract read
In one paragraph

Article in BMC medical research methodology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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, 1 synthesis or guideline pooled it, 28 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

6 authors at 3 institutions in 2 countries.

Jalileh GhanbariHealth Education and Health Promotion Department, School of Public Health, Tabriz University of Medical Sciences, Tabriz, Iran.
Asghar MohammadpooraslEpidemiology and Biostatistics Department, School of Public Health, Tabriz University of Medical Sciences, Tabriz, Iran.
Leila JahangiryHealth Education and Health Promotion Department, School of Public Health, Tabriz University of Medical Sciences, Tabriz, Iran. Jahangiry@razi.tums.ac.ir.ORCID 0000-0002-0491-5764
Mahdieh Abbasalizad FarhangiDrug Applied Research Center, Nutrition Research Center, Department of Community Nutrition, Tabriz University of Medical Sciences, Tabriz, Iran.
Jamileh AmirzadehDepartment of Public Health, Health and Paramedical Faculty, Urmia University of Medical Sciences, Nazlou Campus, Urmia, Iran.
Koen PonnetDepartment of Communication Sciences, Faculty of Political and Social Sciences, imec-mict-Ghent University, Ghent, Belgium.
Tabriz University of Medical Sciences · IRGhent University · BEUrmia University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension remains one of the most important preventable risk factors for diseases and death. Identifying clustered patterns of modifiable lifestyle risk factors for hypertension and demographics factors related to these clustered patterns allows for targeting health prevention interventions. Therefore, this study aims to identify latent classes of hypertensive patients' lifestyle risk factors based on the clustering of four modifiable lifestyle risk factors: eating, physical activity patterns, smoking habits, and blood pressure control.

methodsA total of 750 patients (M

resultsThree classes of lifestyle patterns were identified. About 14.4% of hypertensive patients were categorized in a low-risk class (I), 54.6% in an intermediate-risk class (II), and 31% in a high-risk class (III) of lifestyle. A one-year increase in age significantly increases the risk of membership in classes II and III. Similarly, being widowed or divorced increases the risk of membership in classes II and III. Also, having a higher education level decreases the risk of membership in classes II and III.

conclusionsThis study contributes to the literature on lifestyle behaviors among older adults and provides evidence that there are considerable differences in lifestyle behaviors between subgroups of older adult patients. The three profiles of hypertensive patients' conditions suggest that because behaviors often occur simultaneously within an individual level, a latent-class approach helps cluster co-occurrence risk behaviors and focuses on interventions targeted to several healthy behaviors among high-risk patients.

Indexed as

Life StyleAgedDietExerciseFemaleHealth BehaviorHumansHypertensionMaleMiddle AgedRisk FactorsRisk-TakingSmoking CessationAgeingHypertensionLatent class analysisLifestyle pattern

Identifiers

PMID30419828
PMCPMC6233281
OpenAlexW2901372695

What OpenQuestion holds

Textmetadata
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.