Self-Reported Modifiable Risk Factors of Cardiovascular Disease among Older Adults in Malaysia: A Cross-Sectional

Ying Ying Chan1, Norhafizah Sahril1, Muhammad Solihin Rezali1

  • 1Centre for Family Health Research, Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Shah Alam 40170, Malaysia.

Insights

Most Malaysian older adults have multiple cardiovascular disease (CVD) risk factors, with clustering linked to demographics and lifestyle. Targeted interventions are crucial for early detection and treatment.

Area of Science:

  • Public Health
  • Epidemiology
  • Gerontology

Background:

  • The co-occurrence of multiple modifiable risk factors significantly elevates cardiovascular disease (CVD) risk.
  • Understanding the prevalence and patterns of these risk factors in older adults is essential for public health strategies.

Purpose of the Study:

  • To determine the prevalence and clustering of self-reported modifiable CVD risk factors among Malaysian older adults.
  • To identify demographic and socioeconomic factors associated with the clustering of these risk factors.

Main Methods:

  • Cross-sectional study using data from the National Health and Morbidity Survey (NHMS) 2018: Elderly Health.
  • Involved 7117 adults aged 50 years and above, with data collected via a structured questionnaire.
  • Multivariable logistic regression analysis was employed to identify associated factors.

Main Results:

  • High prevalence of individual risk factors: diabetes (23.3%), hypertension (42.2%), hypercholesterolemia (35.6%), overweight/obesity (58.4%), and smoking (17.5%).
  • Prevalence of clustering: ≥1 risk factor (83.3%), ≥2 risk factors (75.4%), and ≥3 risk factors (62.6%).
  • Factors associated with clustering included being male, aged 60-69, urban dweller, having no formal education, unemployed/retired/homemaker status, physical inactivity, and ethnic differences.

Conclusions:

  • A significant majority of Malaysian older adults exhibit clustering of multiple modifiable CVD risk factors.
  • Demographic, socioeconomic, and lifestyle factors are independently associated with this clustering.
  • Integrated strategies targeting early detection and management, considering diverse population characteristics, are imperative.

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