# Exploring Cardiovascular Health: The Role of Dyslipidemia and Inflammation

## TL;DR

This study explores cardiovascular disease risk factors in South India, finding that dyslipidemia and inflammation are significant contributors, especially in urban areas.

## Contribution

The study identifies region-specific biochemical risk factors for CVD in South India, emphasizing urban-rural disparities and actionable public health strategies.

## Key findings

- 22.83% of participants had CVD, with higher prevalence in urban areas (27.37%) compared to rural (17.51%).
- Elevated LDL, reduced HDL, and increased hs-CRP were significant predictors of CVD in the population.
- Urban-specific risk factors like sedentary lifestyles and dietary patterns contribute to higher CVD rates.

## Abstract

Background: Cardiovascular diseases (CVDs) are a major global health concern, with their prevalence rising significantly in developing regions like South India. This increase is driven by unique dietary patterns, lifestyle habits, and genetic predispositions contributing to the region's distinct cardiovascular risk profile. However, gaps remain in understanding the biochemical risk factors specific to this population. This study addresses these gaps by focusing on key markers, namely, low-density lipoprotein (LDL), high-density lipoprotein (HDL), high-sensitivity C-reactive protein (hs-CRP), and homocysteine, which are critical in dyslipidemia, inflammation, and endothelial dysfunction. Identifying these markers' prevalence and their role in CVD is essential for developing effective, region-specific preventive strategies.

Methods: This study employed a cross-sectional design and included 1,200 participants aged between 30 and 70 years from both urban and rural areas in South India, selected through a multistage stratified random sampling approach to ensure demographic representation across socioeconomic groups, gender, and residential settings. Data on demographics, lifestyle choices, and medical histories were collected using structured questionnaires, which were validated through a pilot study involving 50 participants to ensure clarity, cultural relevance, and content validity. Biochemical assessments included lipid profiles, fasting glucose, hs-CRP, and serum homocysteine levels, which were conducted following standardized laboratory protocols. Quality control measures, such as duplicate testing of 10% of samples, ensured reliability. Statistical analyses included logistic regression to identify independent predictors of CVDs and ANOVA to compare mean biochemical parameter values between groups.

Results: The study reported that 274 participants (22.83%) were affected by CVDs, with a higher prevalence in urban areas (75 participants (27.37%)) compared to rural regions (48 participants (17.51%)). This disparity is likely attributed to urban-specific risk factors, including sedentary lifestyles, dietary patterns, and environmental stressors. Biochemical analysis revealed significant predictors of CVD, such as elevated LDL cholesterol (498 participants (41.5%), odds ratio (OR) = 2.1, 95% CI: 1.7-2.6), reduced HDL cholesterol (428 participants (35.7%), OR = 1.8, 95% CI: 1.4-2.3), and increased hs-CRP levels (353 participants (29.4%), OR = 1.9, 95% CI: 1.5-2.4), emphasizing the central roles of dyslipidemia and systemic inflammation in CVD pathogenesis.

Conclusion: The findings of this study highlight critical implications for public health policies and healthcare systems in South India. The higher prevalence of CVDs in urban areas necessitates targeted interventions such as community-based physical activity programs, dietary counseling, and stress management initiatives. Biochemical management strategies, including early screening and control of dyslipidemia through lipid-lowering agents and addressing elevated hs-CRP levels with anti-inflammatory measures, are essential. Supplementation with folate and vitamin B12 to manage hyperhomocysteinemia should also be considered. However, the cross-sectional nature of the study and its single-center design limit causal inference and generalizability, emphasizing the need for multicenter, longitudinal research to validate these findings and guide comprehensive CVD prevention strategies.