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Research Article | Volume 9 Issue: 1 (Jan-July, 2023) | Pages 52 - 56
Evaluation of Risk Factors of Cardiovascular Diseases Among Patients
 ,
Under a Creative Commons license
Open Access
Received
Nov. 2, 2023
Revised
Nov. 18, 2023
Accepted
Nov. 30, 2023
Published
Dec. 20, 2023
Abstract

Introduction: Cardiovascular risk factors (CVRFs) have an important role in the development of almost all CVDs. They can be divided into two categories: modifiable factors, including hypertension, diabetes, high cholesterol, obesity, physical inactivity, and inadequate intake of fruits and vegetables; and non-modifiable factors such as age, sex, family history and ethnicity. Cardiovascular diseases are a significant global health challenge, accounting for nearly one-third of all deaths annually. The increasing burden of CVDs is linked to rapid urbanization, changes in dietary habits, physical inactivity, and rising prevalence of metabolic disorders such as obesity and diabetes. Understanding the risk factors associated with CVDs is essential for implementing effective preventive measures and guiding public health policies.  Material and Methods: A cross-sectional study was conducted between January and June 2023 at a tertiary care hospital. This study evaluates the risk factors contributing to CVDs in a sample size of 90 patients attending a tertiary care hospital. The study aims to identify key determinants such as age, gender, smoking, hypertension, diabetes, dyslipidemia, obesity, and physical inactivity. Data were collected through structured interviews, clinical examinations, and review of medical records. Variables studied included demographic details, smoking history, blood pressure, fasting blood glucose levels, lipid profile, body mass index (BMI), and physical activity levels. Results: Hypertension was the most prevalent risk factor (70%), underscoring its critical role in the pathogenesis of CVDs. Smoking (50%) highlights behavioral risks, while diabetes (40%) points to metabolic influences. Dyslipidemia (35%), obesity (30%), and physical inactivity (45%) further emphasize the contribution of lifestyle factors. The majority of patients (60%) had two or more risk factors, illustrating the clustering effect that significantly elevates cardiovascular risk. The presence of three or more risk factors in 40% of the sample underscores the complexity of CVD management in these patients. Smoking was notably higher in males (70% vs. 20%), reflecting potential cultural or behavioral influences. Hypertension and diabetes were relatively balanced across genders, suggesting universal susceptibility. Obesity and physical inactivity were higher among females, which may indicate barriers to physical activity or gender-specific health disparities. Conclusion: The study emphasizes the importance of preventive measures and lifestyle modifications to reduce the burden of CVDs. This study identifies hypertension, smoking, and diabetes as the leading risk factors for cardiovascular diseases in the study population. Addressing these factors through early detection, patient education, and lifestyle interventions can significantly reduce the burden of CVDs.

Keywords
INTRODUCTION

Cardiovascular risk factors (CVRFs) have an important role in the development of almost all CVDs.[1] They can be divided into two categories: modifiable factors, including hypertension, diabetes, high cholesterol, obesity, physical inactivity, and inadequate intake of fruits and vegetables; and non-modifiable factors such as age, sex, family history and ethnicity. [2,3] 

CVDs remain the principal cause of death globally, with an estimation of 17.9 million deaths (32% of global deaths) each year reaching 23.3 million deaths by 2030, 85% of deaths are due to stroke and heart disease, and one-third of these fatalities are premature in adults under the age of 70. [4] As reported in various studies, the prevalence of these risk factors is on the rise across nearly all regions of Africa. [5] According to the World Health Organization (WHO), “over three-quarters of CVD deaths take place in low- and middle-income countries”. [6]

 

Cardiovascular diseases are a significant global health challenge, accounting for nearly one-third of all deaths annually. The increasing burden of CVDs is linked to rapid urbanization, changes in dietary habits, physical inactivity, and rising prevalence of metabolic disorders such as obesity and diabetes. [7] Understanding the risk factors associated with CVDs is essential for implementing effective preventive measures and guiding public health policies. [8]

 

CVD risk factors can be broadly categorized into non-modifiable and modifiable groups. Non-modifiable factors include age, gender, and genetic predisposition, while modifiable factors encompass smoking, hypertension, hyperlipidemia, diabetes, obesity, and sedentary lifestyles. [9] Previous studies have demonstrated that addressing modifiable risk factors can significantly reduce the incidence of CVDs and associated complications. [10]

 

Despite advances in diagnostic and therapeutic strategies, CVDs remain a leading cause of death globally, particularly in low- and middle-income countries where healthcare access is limited. [11] This study aims to evaluate the prevalence and co-occurrence of various risk factors among patients attending a tertiary care hospital, with the goal of identifying opportunities for targeted intervention and prevention strategies

MATERIALS AND METHODS

A cross-sectional study was conducted between January and June 2023 at a tertiary care hospital. A total of 90 patients diagnosed with or at risk for cardiovascular diseases were included in the study.

 

Inclusion Criteria: Patients aged 18 years and above. Diagnosed with at least one risk factor for CVD.

 

Exclusion Criteria: Patients with incomplete medical records. Those unwilling to provide consent.

 

Data Collection: Data were collected through structured interviews, clinical examinations, and review of medical records. Variables studied included demographic details, smoking history, blood pressure, fasting blood glucose levels, lipid profile, body mass index (BMI), and physical activity levels.

 

Statistical Analysis: Data were analyzed using SPSS software version 29. Descriptive statistics were used to summarize the data, and associations between risk factors were evaluated using chi-square tests.

 

RESULTS

Table 1: Demographic Characteristics

Characteristic

Value

Mean age

54.2 ± 12.6 years

Gender distribution

60% male, 40% female

In table 1, the study population had a mean age of 54.2 years, indicating that CVD risk factors prominently affect middle-aged individuals. The male predominance (60%) suggests either a higher susceptibility among men or a possible gender bias in healthcare access or presentation.

Table 2: Prevalence of Risk Factors

Risk Factor

Prevalence (n=90)

Hypertension

70% (n=63)

Smoking

50% (n=45)

Diabetes

40% (n=36)

Dyslipidemia

35% (n=32)

Obesity (BMI ≥30)

30% (n=27)

Physical inactivity

45% (n=41)

In table 2, Hypertension was the most prevalent risk factor (70%), underscoring its critical role in the pathogenesis of CVDs. Smoking (50%) highlights behavioral risks, while diabetes (40%) points to metabolic influences. Dyslipidemia (35%), obesity (30%), and physical inactivity (45%) further emphasize the contribution of lifestyle factors.

Table 3: Co-occurrence of Risk Factors

Number of Risk Factors

Patients (%)

One

20% (n=18)

Two

40% (n=36)

Three

30% (n=27)

Four or more

10% (n=9)

In table 3, the majority of patients (60%) had two or more risk factors, illustrating the clustering effect that significantly elevates cardiovascular risk. The presence of three or more risk factors in 40% of the sample underscores the complexity of CVD management in these patients.

Table 4: Gender Differences in Risk Factors

Risk Factor

Males (%)

Females (%)

Smoking

70%

20%

Hypertension

72%

68%

Diabetes

38%

42%

Dyslipidemia

30%

40%

Obesity

25%

40%

Physical inactivity

42%

50%

In table 4, Smoking was notably higher in males (70% vs. 20%), reflecting potential cultural or behavioral influences. Hypertension and diabetes were relatively balanced across genders, suggesting universal susceptibility. Obesity and physical inactivity were higher among females, which may indicate barriers to physical activity or gender-specific health disparities.

Table 5: Lipid Profile Among Patients

Parameter

Mean Value ± SD

Total Cholesterol

210 ± 35 mg/dL

LDL-C

140 ± 30 mg/dL

HDL-C

45 ± 10 mg/dL

Triglycerides

180 50 mg/dL

 

In table 5, Elevated mean total cholesterol (210 mg/dL) and LDL-C (140 mg/dL) levels highlight poor lipid control, a significant driver of atherosclerosis. Low HDL-C (45 mg/dL) and elevated triglycerides (180 mg/dL) indicate a pro-atherogenic lipid profile common in CVD patients.

 

Table 6: Blood Pressure Levels

Category

Systolic BP (mmHg)

Diastolic BP (mmHg)

Normal

<120

<80

Elevated

120-129

<80

Hypertension Stage 1

130-139

80-89

Hypertension Stage 2

≥140

≥90

In table 6, the stratification of blood pressure levels shows that a significant proportion of patients fall into hypertension stages 1 and 2, warranting targeted interventions for blood pressure management.

DISCUSSION

The study highlights a high prevalence of modifiable risk factors such as hypertension, smoking, and diabetes, consistent with global trends. These findings underscore the importance of focusing on lifestyle modifications and public health interventions. [12] Hypertension emerged as the most prevalent risk factor, affecting 70% of patients. This emphasizes the critical need for regular monitoring and effective management strategies, such as salt reduction, increased physical activity, and pharmacological treatments where necessary. [13]

Smoking, observed in 50% of patients and predominantly among males, remains a major contributor to CVD risk. Targeted anti-smoking campaigns and cessation programs are vital in addressing this issue. [14] Diabetes, affecting 40% of the study population, highlights the growing burden of metabolic disorders. It necessitates early diagnosis and glycemic control through dietary measures and medications. [15]

 

The co-occurrence of multiple risk factors in 60% of patients underscores the complex interplay of various determinants of CVD. [16] Patients with multiple risk factors are at exponentially higher risk of adverse cardiovascular events, emphasizing the need for comprehensive, multi-faceted intervention strategies. [17]

 

Gender-specific differences were also evident, with obesity and physical inactivity more common among females. This suggests a need for tailored public health messages and interventions addressing gender-specific barriers to healthy living. [18-22]

 

In summary, the study provides valuable insights into the prevalence and distribution of CVD risk factors. It highlights the urgent need for integrated public health strategies aimed at prevention, early detection, and management to reduce the burden of CVDs in the population.

CONCLUSION

This study identifies hypertension, smoking, and diabetes as the leading risk factors for cardiovascular diseases in the study population. Addressing these factors through early detection, patient education, and lifestyle interventions can significantly reduce the burden of CVDs. Further research with larger sample sizes is recommended to validate these findings and develop targeted preventive strategies.

REFERENCES
  1.  World Health Organization. (2021). Cardiovascular Diseases (CVDs). Retrieved from WHO Website.
  2. Yusuf, S., et al. (2020). Global burden of cardiovascular diseases and risk factors. The Lancet, 396(10258), 1204-1222.
  3. American Heart Association. (2022). Understanding Risk Factors for Heart Disease. Retrieved from AHA Website.
  4. Benjamin, E. J., et al. (2019). Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association. Circulation, 139(10), e56–e528.
  5. Murray CJL, Vos T, Lozano R, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012;380:2197-223.
  6. Hajar R. Framingham contribution to cardiovascular disease. Heart Views 2016;17:78-81.
  7. O’Donnell MJ, Chin SL, Rangarajan S, et al. Global and regional effects of potentially modifiable risk factors associated with acute stroke in 32 countries (INTERSTROKE): a case-control study. Lancet 2016;388: 761-75.
  8. Yusuf S, Islam S, Chow CK, et al. Use of secondary prevention drugs for cardiovascular disease in the community in high-income, middle-income and low-income countries (the PURE Study): a prospective epidemiological survey. Lancet 2011;378:1231-43.
  9. Franco M, Cooper RS, Bilal U, Fuster V. Challenges and opportunities for cardiovascular disease prevention. Am J Med 2011;124:95-102.
  10. Anderson TJ, Gregoire J, Pearson GJ, et al. 2016 Canadian Cardiovascular Society guidelines for the management of dyslipidemia for the prevention of cardiovascular disease in the adult. Can J Cardiol 2016;32: 1263-82.
  11. Tobe SW, Stone JA, Anderson T, et al. Canadian Cardiovascular Harmonized National Guidelines Endeavour (C-CHANGE) guideline for the prevention and management of cardiovascular disease in primary care: 2018 update. CMAJ 2018;190:E1192-206.
  12. Khatib R, McKee M, Shannon H, et al. Availability and affordability of cardiovascular disease medicine and their effect on use in high-income, middle-income and low income countries: an analysis of the PURE study data. Lancet 2016;387:61-9.
  13. Khatib R, Schwalm JD, Yusuf S, et al. Patient and healthcare provider barriers to hypertension awareness, treatment and follow up: a systematic review and meta-analysis of qualitative and quantitative studies. PLoS One 2014;9:e84238.
  14. Hackshaw A, Morris JK, Boniface S, Tang JL, Milenkovic D. Low cigarette consumption and risk of coronary heart disease and stroke: meta-analysis of 141 cohort studies in 55 study reports. BMJ 2018;360: j5855.
  15. Kim AS, Ko HJ, Kwon JH, Lee JM. Exposure to secondhand smoke and risk of cancer in never smokers: a meta-analysis of epidemiologic studies. Int J Environ Res Public Health 2018;15:1981.
  16. Lv J, Chen W, Sun D, et al. Gender-specific association between tobacco smoking and central obesity among 0.5 million Chinese people: the China Kadorie Biobank study. PLoS One 2015;10:e0124586.
  17. Thomson B, Rojas NA, Lacey B, et al. Association of childhood smoking and adult mortality: prospective study of 120 000 Cuban adults. Lancet Glob Health 2020;8:e850-7.
  18. Renteria E, Jha P, Forman D, Soerjomataram I. The impact of cigarette smoking on life expectancy between 1980 and 2010: a global perspective. Tob Control 2016;25:551-7.
  19. Yusuf S, Rangarajan S, Teo K, et al. Cardiovascular risk and events in 17 low-, middle- and high-income countries. N Engl J Med 2014;371: 818-27.
  20. Teo K, Lear S, Islam S, et al. Prevalence of a healthy lifestyle among individuals with cardiovascular disease in high-, middle and low-income countries: the Prospective Urban Rural Epidemiology (PURE) study. JAMA 2013;309:1613-21.
  21. Miller V, Yusuf S, Chow CK, et al. Availability, affordability, and consumption of fruits and vegetables in 18 countries across income levels: findings from the Prospective Urban Rural Epidemiology (PURE) study. Lancet Global Health 2016;4:e695-703.
  22. Pirie K, Peto R, Reeves GK, Green J, Beral V. The 21st century hazards of smoking and benefits of stopping: a prospective study of one million women in the UK. Lancet 2013;381:133-41.
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