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

Med J Malaysia. 2025 Jan;80(1):17-24.

Abstract

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.

MeSH terms

  • Adult
  • Cardiovascular Diseases* / epidemiology
  • Cross-Sectional Studies
  • Female
  • Health Personnel* / statistics & numerical data
  • Humans
  • Malaysia / epidemiology
  • Male
  • Middle Aged
  • Prevalence
  • Primary Health Care
  • Risk Assessment / methods
  • Risk Factors