Cardio-metabolic risk among healthcare providers: A latent profile study.

Introduction: Cardio-metabolic disease (CMetD) is a prevalent health issue among healthcare professionals, and suboptimal management of metabolic disorders places a burden on the healthcare system. Methods: The present study aimed to cluster the participants based on risk factors for the CMetDs usin...

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Publicado en:Journal of Cardiovascular & Thoracic Research Vol. 17; no. 4; pp. 265 - 274
Autores principales: Esmaeili, Parya, Haybatollahi, Sayyed M., Roshanravan, Neda, Ghaffari, Samad, Alamdari, Naimeh Mesri, Mousavi, Saeed, Asghari-Jafarabadi, Mohammad
Formato: research tables/charts Journal Article
Publicado: Tabriz University of Medical Sciences Dec2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2025
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      pub: Tabriz University of Medical Sciences
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        10.34172/jcvtr.025.33541
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        atl: Cardio-metabolic risk among healthcare providers: A latent profile study.
      aug:
        au:
          Esmaeili, Parya
          Haybatollahi, Sayyed M.
          Roshanravan, Neda
          Ghaffari, Samad
          Alamdari, Naimeh Mesri
          Mousavi, Saeed
          Asghari-Jafarabadi, Mohammad
        affil: Liver and Gastrointestinal Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
      sug:
        subj:
          Health Personnel
          Cardiometabolic Risk Factors
          Risk Assessment
          Models, Statistical
          Human
          Funding Source
          Iran
          Male
          Female
          Adult
          Middle Age
          Prospective Studies
          Epidemiological Research
          Interviews
          Academic Medical Centers
          Descriptive Statistics
          Data Analysis Software
          Enzyme-Linked Immunosorbent Assay
          Age Factors
          Body Mass Index
          Systolic Pressure
          Diastolic Pressure
          Blood Pressure
          Waist Circumference
          Glycated Hemoglobin
          Hematocrit
          Odds Ratio
          Confidence Intervals
          Cardiometabolic Risk Factors Prevention and Control
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Male
          Female
      ab: Introduction: Cardio-metabolic disease (CMetD) is a prevalent health issue among healthcare professionals, and suboptimal management of metabolic disorders places a burden on the healthcare system. Methods: The present study aimed to cluster the participants based on risk factors for the CMetDs using Latent Profile Analysis (LPA). This study was conducted on 500 healthcare providers, aged 18 to 75 years at Tabriz University of Medical Sciences, Tabriz, Iran. LPA was used to explore the latent risk profiles based on age, blood pressure (BP), lipid profile, insulin, body mass index (BMI), and waist circumference. Results: The individuals were classified into three LPA-driven profiles: low (42.4%), intermediate (21.8%), and high (35.8%). The high-risk profile found in older age and higher BMI, insulin, fasting blood glucose (FBS), as well as higher levels of high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, total cholesterol, and triglyceride. Furthermore, in the intermediate risk profile, elevated levels of systolic/diastolic BP and waist circumference were associated with higher levels of risk. Haemoglobin and hematocrit levels were significant predictors of low and intermediate latent profiles. Higher levels of hemoglobin and hematocrit were associated with lower odds of being in low and intermediate latent profiles, compared to the high-risk profile (all P <0.05).> Conclusion: LPA-derived latent profiles and the specific predictors of profiles help find control and prevention measures in CMetDs; older individuals with poorer lipid profiles, and, elevated insulin, triglyceride, FBS, BP, and BMI levels should be screened more carefully.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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