The Pattern of Cardiovascular Disease Risks among Working People (18-64 years) via a Nationwide Household-based Survey in Malaysia

Autor: S Maria Awaluddin, Kuang Kuay Lim, Nor Syaqilah Shawaluddin, Tuan Amin Tuan Lah, Rosnawati Muhamad Robat, Maznieda Mahjom, Muhammad Fadhli Mohd Yussof
Rok vydání: 2022
DOI: 10.21203/rs.3.rs-1391598/v2
Popis: Background: Cardiovascular diseases (CVDs) are prevalent globally and are increasing tremendously. This article aimed to determine the prevalence and prevalence odds ratio of seven CVD risks among working people (18-64 years) in Malaysia.Methods: A cross-sectional study among a nationally representative sample in Malaysia was conducted using a validated questionnaire. Clinical procedures were performed by registered nurses to measure glucose, cholesterol, body mass index and blood pressure. The prevalence and prevalence odds ratio were calculated via complex sample data analysis of IBM SPSS Statistics version 25.Results: The overall prevalence of CVD risks among working people was 14.1%, 17.3%, 24.5%, 28.8%, 31.7%, 45.9% and 94.2% for diabetes, obesity, hypertension, physical inactivity, tobacco smoking, hypercholesterolemia and inadequate fruit and vegetable (FV) intake, respectively. This study found that older age was associated with the odds of having the most CVD risks. Males were associated with higher odds of having hypertension and tobacco smoking, whereas females were more likely to have hypercholesterolemia, obesity, and physical inactivity. Those who worked as manager & senior officials, clerical workers and services & sales workers were physically inactive, while workers from the lower educational level were more likely to smoke tobacco. Workers in the public sector were more likely to have a higher prevalence of diabetes, hypertension, hypercholesterolemia, smoking and obesity than workers in the private sector.Conclusions: This study highlighted that working people have significant CVD risks and a regular medical screening should be conducted at workplace settings.
Databáze: OpenAIRE