Evidence map›Paper›PMID 40628821›Full record

ArticleScientific reports2025

Patterns of risk factors for cardiovascular diseases in Kheramah PERSION cohort population using a latent class analysis.

Hadis Salimi, Mohebat Vali, Abbas Rezaianzadeh, Masoumeh Ghoddusi Johari, Haleh Ghaem

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hadis SalimiStudent Research Committee, Shiraz University of Medical Science, Shiraz, Iran.
Mohebat ValiDepartment of Epidemiology, Non-Communicable Diseases Research Center, Research Center for Health Sciences, Institute of Health, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Abbas RezaianzadehColorectal Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Masoumeh Ghoddusi JohariBreast Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Haleh GhaemDepartment of Epidemiology, Non-Communicable Diseases Research Center, Research Center for Health Sciences, Institute of Health, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran. ghaemh@sums.ac.ir.

Funding

Shiraz University of Medical Sciences 1402-4-4-28337
6 · The paper itself

Abstract

Cardiovascular diseases (CVDs) are a leading cause of mortality and morbidity worldwide, with a significant burden in Iran. Limited research has investigated patterns of modifiable CVDs risk factors in Iran. This study aims to address this gap by identifying distinct patterns of modifiable CVDs risk factors among adult aged + 40 and explore the relationship between demographic characteristics and risk factor patterns. This study was conducted using data from the Kherameh cohort study. The participants consisted of 9,422 individuals aged 40-70 years without CVDs. Latent Class Analysis (LCA) was used to identify latent classes of modifiable CVD risk factors. Multinomial logistic regression assessed the relationship between latent classes (LCs) and demographic variables. Three latent classes were identified as follows: low-risk (42%), clinical-risk (52%) and lifestyle-risk (6%) classes. Female gender (Adjusted OR: 13.48, 95% CI: 11.81-15.39), older age (Adjusted OR: 1.16, 95% CI: 0.99-1.35) and rural residence (Adjusted OR: 0.76, 95% CI: 0.67-0.86) had a greater risk of being in clinical-risk class compared to the low-risk class. Moreover, individuals of Fars ethnicity exhibited a significantly elevated risk of being classified in the clinical risk class for CVD (Adjusted OR: 1.28, 95% CI: 1.14-1.43) and they demonstrated a markedly higher risk of belonging to the lifestyle risk class (Adjusted OR: 1.51, 95% CI: 1.11-2.07). The study identified distinct latent classes of modifiable CVD risk factors and provided insights into their associations with demographic characteristics. Understanding risk patterns is crucial for developing effective preventive strategies and providing appropriate health protocols.

Indexed as

Cardiovascular DiseasesAdultAgedCohort StudiesFemaleHumansIranLatent Class AnalysisLife StyleMaleMiddle AgedRisk FactorsCardiovascular diseasesLatent classRisk factor

Identifiers

PMID40628821
PMCPMC12238515

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.