Background:Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, accounting for nearly one-third of all global deaths. Early identification of individuals at high cardiovascular risk through primary care-based assessment plays a critical role in preventing adverse cardiovascular events. Risk assessment tools allow healthcare providers to identify modifiable risk factors and implement preventive interventions before disease onset.Objective:To evaluate cardiovascular risk profiles among adults attending primary healthcare facilities and determine the effectiveness of risk assessment strategies in identifying individuals at elevated risk for cardiovascular disease.Methods:A cross-sectional study was conducted among 1,500 adults attending primary care clinics. Demographic characteristics, lifestyle behaviors, clinical parameters, and laboratory investigations were collected. Cardiovascular risk was estimated using validated risk assessment models. Statistical analyses included descriptive statistics, chi-square tests, and multivariate logistic regression.Results:Among participants, 37.4% were classified as low-risk, 41.8% as moderate-risk, and 20.8% as high-risk for future cardiovascular events. Hypertension (39.6%), obesity (33.1%), diabetes mellitus (24.7%), smoking (22.9%), and dyslipidemia (42.3%) were the most prevalent risk factors. High-risk individuals demonstrated significantly greater prevalence of multiple risk factors (p < 0.001).Conclusion:Cardiovascular risk assessment in primary care effectively identifies individuals at increased risk of cardiovascular disease. Routine risk screening, lifestyle interventions, and targeted preventive strategies can substantially reduce future cardiovascular morbidity and mortality.
Cardiovascular diseases encompass a range of disorders affecting the heart and blood vessels, including coronary artery disease, stroke, heart failure, and peripheral vascular disease.
According to the World Health Organization, cardiovascular diseases account for approximately 17.9 million deaths annually worldwide.
Many cardiovascular events are preventable through early identification and management of risk factors such as:
Primary care serves as the first point of contact within healthcare systems and provides an ideal setting for comprehensive cardiovascular risk assessment.
Numerous studies have established that cardiovascular disease develops through the interaction of multiple risk factors.
Widely used cardiovascular risk assessment models include:
Research indicates that risk-based prevention is more effective than treating individual risk factors in isolation.
Primary Objective
To assess cardiovascular risk among adults attending primary healthcare centers.
Secondary Objectives
Study Design
Cross-sectional analytical study.
Study Setting
Ten primary healthcare centers.
Study Duration
January 2025 – December 2025.
Sample Size
1,500 adult participants.
Inclusion Criteria
Exclusion Criteria
Demographic Variables
Clinical Assessments
Laboratory Investigations
Demographic Characteristics
Table 1. Participant Profile
|
Variable |
Frequency |
Percentage |
|
Male |
810 |
54.0% |
|
Female |
690 |
46.0% |
|
Age 18–39 Years |
520 |
34.7% |
|
Age 40–59 Years |
620 |
41.3% |
|
Age ≥60 Years |
360 |
24.0% |
Table 2. Major Risk Factors
|
Risk Factor |
Prevalence (%) |
|
Dyslipidemia |
42.3 |
|
Hypertension |
39.6 |
|
Obesity |
33.1 |
|
Physical Inactivity |
31.5 |
|
Diabetes Mellitus |
24.7 |
|
Smoking |
22.9 |
Participants were categorized according to estimated 10-year cardiovascular risk.
Table 3. Risk Categories
|
Risk Category |
Percentage |
|
Low Risk |
37.4 |
|
Moderate Risk |
41.8 |
|
High Risk |
20.8 |
Table 4. Mean Clinical Measurements
|
Parameter |
Low Risk |
Moderate Risk |
High Risk |
|
BMI (kg/m²) |
24.3 |
27.6 |
31.1 |
|
Systolic BP (mmHg) |
118 |
132 |
149 |
|
Total Cholesterol (mg/dL) |
178 |
212 |
245 |
|
Fasting Glucose (mg/dL) |
92 |
108 |
139 |
High-risk individuals demonstrated significantly worse clinical profiles.
Table 5. Lifestyle Behaviors
|
Behavior |
Prevalence (%) |
|
Sedentary Lifestyle |
31.5 |
|
High Salt Intake |
44.8 |
|
Unhealthy Diet |
39.2 |
|
Inadequate Fruit Consumption |
47.6 |
|
Excessive Alcohol Consumption |
12.4 |
Multivariate analysis identified the following significant predictors:
Table 6. Independent Predictors
|
Variable |
Adjusted Odds Ratio |
|
Age >60 Years |
4.8 |
|
Hypertension |
3.9 |
|
Diabetes Mellitus |
3.5 |
|
Smoking |
2.8 |
|
Obesity |
2.6 |
|
Dyslipidemia |
2.4 |
Age and hypertension were the strongest predictors of elevated cardiovascular risk.
Primary care settings offer opportunities for:
This study highlights the significant burden of cardiovascular risk factors among adults attending primary healthcare facilities.
The predominance of hypertension, dyslipidemia, and obesity reflects the growing impact of lifestyle-related diseases globally.
Approximately one-fifth of participants were categorized as high-risk, emphasizing the importance of routine cardiovascular risk assessment in primary care settings.
The findings support previous evidence that integrated risk-based management is more effective than isolated treatment of individual risk factors.
Primary healthcare providers are uniquely positioned to implement preventive interventions that can substantially reduce future cardiovascular disease burden.
Future studies should examine:
Cardiovascular risk assessment in primary care represents a powerful strategy for the prevention of cardiovascular disease. The high prevalence of modifiable risk factors identified in this study underscores the urgent need for routine screening and targeted preventive interventions. Strengthening primary healthcare systems and integrating comprehensive risk assessment approaches can significantly reduce cardiovascular morbidity and mortality while improving overall population health.
Acknowledgments
The authors acknowledge all participants, healthcare professionals, and primary healthcare centers involved in the study.
Conflict of Interest
The authors declare no conflict of interest.
Funding
No external funding was received for this research.