Key result
Higher socioeconomic status is inversely correlated with cardiovascular risk by QRISK3 score.
Why the study?
Cardiovascular diseases are the leading cause of mortality in India, yet the association between sociodemographic factors and cardiovascular risk remains underexplored.
Are sociodemographic factors associated with cardiovascular risk assessed using the QRISK3 calculator in adults aged 30–70 years in India?
Cross-Sectional (n=220)
No
Are sociodemographic factors associated with cardiovascular risk assessed using the QRISK3 calculator in adults aged 30–70 years in India?
In an Indian hospital-based cohort, age and male sex were independently associated with higher QRISK3 cardiovascular risk scores, while lower socioeconomic status correlated with higher risk only in unadjusted analysis.
Answers are grounded in this paper and cite their sources.
May inform age- and sex-based risk stratification in Indian settings; hypothesis-generating for socioeconomic influences on QRISK3.
Background: Cardiovascular diseases (CVDs) are the leading cause of mortality in India. Sociodemographic factors may be associated with cardiovascular risk but remain underexplored. Methods: This hospital-based cross-sectional study was conducted at RUHS-CMS, Jaipur. Among 220 participants aged 30–70 years recruited through convenience sampling from 1400 screened individuals. Sociodemographic and clinical data were collected, and cardiovascular risk was assessed using the QRISK3 calculator. Statistical analysis included the Chi-square test and Pearson’s correlation. Results: Out of 220 participants, 78.6% of the participants were classified as low CVD risk, 10.9% as moderate risk, and 10.5% as high risk according to QRISK3. Significant unadjusted associations were observed between QRISK3 risk category and age ( χ 2 = 99.63; P < 0.001), marital status ( χ 2 = 30.49; P < 0.001), gender ( χ 2 = 6.14; P < 0.05), and socioeconomic status (SES) ( χ 2 = 8.34; P < 0.05). A significant moderate inverse correlation was found between SES and cardiovascular risk ( r = −0.48, P < 0.001). In multivariable analysis, age and male sex remained independently associated with higher QRISK3 scores (both P < 0.001), whereas SES was not independently associated after adjustment ( P = 0.868). Conclusion: Sociodemographic factors are significantly associated with cardiovascular risk. Lower SES is associated with higher CVD risk, highlighting the importance of integrating social determinants into risk assessment strategies.
No takes yet. Share an insight, caveat, or question.
Zenab et al. (2026) conducted a cross-sectional in Cardiovascular disease risk assessment (n=220). Sociodemographic factors (age, gender, marital status, socioeconomic status) was evaluated on Cardiovascular risk assessed using the QRISK3 calculator (r = -0.48 (for SES vs cardiovascular risk), p=<0.001). Age and male sex were independently associated with higher QRISK3 scores (P<0.001), while socioeconomic status showed an unadjusted inverse correlation (r=-0.48, P<0.001).
Synapse has enriched 10 related papers. Consider them for comparative context: