The ten-year cardiovascular disease risk prediction among primary healthcare workers using the office-based globorisk tool: A cross-sectional study

The ten-year cardiovascular disease risk prediction among primary healthcare workers using the office-based globorisk tool: A cross-sectional study

INTRODUCTION: Cardiovascular diseases (CVDs) remain to be the leading cause of premature mortality worldwide, and healthcare workers (HCWs) are potentially at risk for developing CVDs. Office-based Globorisk is a ten-year risk prediction tool for CVDs risk scores. This present study aims to determin...

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Published in:The Medical journal of Malaysia
Main Author: Zakiman Z.; Mat Ruzlin A.N.; Chen X.W.; Muhamad Robat R.
Format: Article
Language:English
Published: 2025
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215757251&partnerID=40&md5=837fbda7805171cfea004044a76853d4
id 2-s2.0-85215757251
spelling 2-s2.0-85215757251
Zakiman Z.; Mat Ruzlin A.N.; Chen X.W.; Muhamad Robat R.
The ten-year cardiovascular disease risk prediction among primary healthcare workers using the office-based globorisk tool: A cross-sectional study
2025
The Medical journal of Malaysia
80
1

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215757251&partnerID=40&md5=837fbda7805171cfea004044a76853d4
INTRODUCTION: Cardiovascular diseases (CVDs) remain to be the leading cause of premature mortality worldwide, and healthcare workers (HCWs) are potentially at risk for developing CVDs. Office-based Globorisk is a ten-year risk prediction tool for CVDs risk scores. This present study aims to determine the prevalence of CVDs risk and risk factors associated with moderate-high CVDs risk among primary HCWs in government health clinics in Selangor. MATERIALS AND METHODS: A cross-sectional study was conducted on 543 HCWs from the KOSPEN WOW ("Komuniti Sihat Pembina Negara" or "Healthy Community Builds the Nation-Wellness of Workers") database in three district health offices (DHOs) under the Selangor State Health Department in Malaysia. To estimate the office-based Globorisk model, factors such as age, sex, current smoking status, systolic blood pressure (SBP), and body mass index (BMI) were included. Data analysis employed were Pearson chi-square test, Fisher's exact test, Welch's t-test and binary logistic regression. RESULTS: Among 543 participants, 453 (83.4%) were female, 439 (80.8%) were Malay with mean (SD) age of 44.4 (4.38). Majority of moderate-high CVDs risk identified among primary HCWs was male with 26 (86.7%), Malay with 25 (83.3%), and non-clinical group with 17 (56.7%). The prevalence of low CVDs risk was 94.5% (95% CI: 92.2-96.2) and 5.5% (95% CI: 3.8-7.8) for the moderate-high risk category. Factors associated with moderate-high CVDs risk were job category with non-clinical group (95% CI: 1.43, 6.85), elevated blood glucose (95% CI: 3.25, 19.41) and anxiety symptom (95% CI: 1.46, 13.86). CONCLUSION: The KOSPEN WOW platform is effective for screening and guiding implementation of intervention programmes to prevent CVDs.

3005283
English
Article
author Zakiman Z.; Mat Ruzlin A.N.; Chen X.W.; Muhamad Robat R.
spellingShingle Zakiman Z.; Mat Ruzlin A.N.; Chen X.W.; Muhamad Robat R.
The ten-year cardiovascular disease risk prediction among primary healthcare workers using the office-based globorisk tool: A cross-sectional study
author_facet Zakiman Z.; Mat Ruzlin A.N.; Chen X.W.; Muhamad Robat R.
author_sort Zakiman Z.; Mat Ruzlin A.N.; Chen X.W.; Muhamad Robat R.
title The ten-year cardiovascular disease risk prediction among primary healthcare workers using the office-based globorisk tool: A cross-sectional study
title_short The ten-year cardiovascular disease risk prediction among primary healthcare workers using the office-based globorisk tool: A cross-sectional study
title_full The ten-year cardiovascular disease risk prediction among primary healthcare workers using the office-based globorisk tool: A cross-sectional study
title_fullStr The ten-year cardiovascular disease risk prediction among primary healthcare workers using the office-based globorisk tool: A cross-sectional study
title_full_unstemmed The ten-year cardiovascular disease risk prediction among primary healthcare workers using the office-based globorisk tool: A cross-sectional study
title_sort The ten-year cardiovascular disease risk prediction among primary healthcare workers using the office-based globorisk tool: A cross-sectional study
publishDate 2025
container_title The Medical journal of Malaysia
container_volume 80
container_issue 1
doi_str_mv
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215757251&partnerID=40&md5=837fbda7805171cfea004044a76853d4
description INTRODUCTION: Cardiovascular diseases (CVDs) remain to be the leading cause of premature mortality worldwide, and healthcare workers (HCWs) are potentially at risk for developing CVDs. Office-based Globorisk is a ten-year risk prediction tool for CVDs risk scores. This present study aims to determine the prevalence of CVDs risk and risk factors associated with moderate-high CVDs risk among primary HCWs in government health clinics in Selangor. MATERIALS AND METHODS: A cross-sectional study was conducted on 543 HCWs from the KOSPEN WOW ("Komuniti Sihat Pembina Negara" or "Healthy Community Builds the Nation-Wellness of Workers") database in three district health offices (DHOs) under the Selangor State Health Department in Malaysia. To estimate the office-based Globorisk model, factors such as age, sex, current smoking status, systolic blood pressure (SBP), and body mass index (BMI) were included. Data analysis employed were Pearson chi-square test, Fisher's exact test, Welch's t-test and binary logistic regression. RESULTS: Among 543 participants, 453 (83.4%) were female, 439 (80.8%) were Malay with mean (SD) age of 44.4 (4.38). Majority of moderate-high CVDs risk identified among primary HCWs was male with 26 (86.7%), Malay with 25 (83.3%), and non-clinical group with 17 (56.7%). The prevalence of low CVDs risk was 94.5% (95% CI: 92.2-96.2) and 5.5% (95% CI: 3.8-7.8) for the moderate-high risk category. Factors associated with moderate-high CVDs risk were job category with non-clinical group (95% CI: 1.43, 6.85), elevated blood glucose (95% CI: 3.25, 19.41) and anxiety symptom (95% CI: 1.46, 13.86). CONCLUSION: The KOSPEN WOW platform is effective for screening and guiding implementation of intervention programmes to prevent CVDs.
publisher
issn 3005283
language English
format Article
accesstype
record_format scopus
collection Scopus
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