| Literature DB >> 34360235 |
Ying Ying Chan1, Norhafizah Sahril1, Muhammad Solihin Rezali1, Lim Kuang Kuay2, Azli Baharudin3, Mohamad Aznuddin Abd Razak1, Mohd Shaiful Azlan Kassim1, Muhammad Fadhli Mohd Yusoff4, Mohd Azahadi Omar5, Noor Ani Ahmad6.
Abstract
The co-occurrence of multiple modifiable risk factors increases the risk of cardiovascular disease (CVD) morbidity or mortality. This study examines the prevalence and clustering of self-reported modifiable CVD risk factors among older adults in Malaysia. A total of 7117 adults aged ≥50 years participated in the National Health and Morbidity Survey (NHMS) 2018: Elderly Health, a community-based cross-sectional survey. Data were collected using a standardized structured questionnaire. Multivariable logistic regression was used to determine the factors associated with the clustering of self-reported modifiable CVD risk factors. The prevalence of self-reported diabetes, hypertension, hypercholesterolemia, overweight/obesity, and current smoking was 23.3%, 42.2%, 35.6%, 58.4%, and 17.5%, respectively. Overall, the prevalence of clustering of ≥1, ≥2, and ≥3 modifiable CVD risk factors was 83.3%, 75.4%, and 62.6%, respectively. Multivariable logistic regression analysis showed that men, 60-69 age group, urban dwellers, having no formal education, unemployed/retirees/homemakers, and being physically inactive were independently associated with self-reported modifiable CVD risk factors clustering. There are also ethnic differences in self-reported modifiable CVD risk factors clustering. Our findings underscore the necessity of targeted interventions and integrated strategies for early detection and treatment of modifiable CVD risk factors among older adults, considering age, sex, ethnicity, and socioeconomic status.Entities:
Keywords: Malaysia; National Health and Morbidity Survey; cardiovascular disease; modifiable risk factors; older adults; prevalence
Year: 2021 PMID: 34360235 DOI: 10.3390/ijerph18157941
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390