ICMR - National Centre for Disease Informatics and Research, Bengaluru, India.
Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India.
Indian J Med Res. 2024 May;159(5):429-440. doi: 10.25259/ijmr_1748_23.
Background & objectives Cardiovascular diseases (CVDs) are extremely prevalent in India, making early detection of people at high risk for CVDs and prevention crucial. This study aimed to estimate CVD risk distribution in older adults (40-69 yr) in India using WHO's non-laboratory risk chart and identify factors associated with elevated CVD risk (10%). Methods The current study used a nationally representative sample of 40-69 yr adults in India. The population's 10-yr CVD risk was defined as very low-to-low (10%), moderate (10-20%) and high to very high (>20%). We attempted univariable and multivariable logistic regressions to identify factors related to higher CVD risk (≥10%). Results Out of 4480 participants, 50 per cent were younger participants (40-49 years). The proportions of the population with very low to low, moderate and high to very high CVD risk were 84.9, 14.4 and 0.7 per cent, respectively. The estimated 10-year CVD risk was higher for people with unemployed [Adjusted Odds Ratio (AOR): 5.12; 95% Confidence Interval (CI): 3.63, 7.24], followed by raised blood glucose (AOR: 1.81; 95%CI: 1.39, 2.34). Interpretation & conclusions The non-laboratory-based chart proves valuable in low-resource settings, especially at the primary healthcare level, facilitating efficient CVD risk assessment and resource allocation. Further research is needed to explore the association of second-hand smoke with CVD risk in the Indian population.
心血管疾病(CVDs)在印度极为普遍,因此早期发现 CVD 高危人群并进行预防至关重要。本研究旨在使用世界卫生组织(WHO)的非实验室风险图表评估印度 40-69 岁成年人的 CVD 风险分布,并确定与 CVD 风险升高(10%)相关的因素。
本研究使用了印度全国代表性的 40-69 岁成年人样本。该人群的 10 年 CVD 风险定义为极低至低(10%)、中(10-20%)和高至高(>20%)。我们尝试了单变量和多变量逻辑回归,以确定与更高 CVD 风险(≥10%)相关的因素。
在 4480 名参与者中,有 50%是年龄较小的参与者(40-49 岁)。极低至低、中、高至极高 CVD 风险的人群比例分别为 84.9%、14.4%和 0.7%。失业人群的 10 年 CVD 风险估计更高(调整后的优势比 [AOR]:5.12;95%置信区间 [CI]:3.63,7.24),其次是血糖升高(AOR:1.81;95%CI:1.39,2.34)。
非实验室为基础的图表在资源有限的环境中非常有用,特别是在初级医疗保健水平,可以有效地进行 CVD 风险评估和资源分配。需要进一步研究二手烟与印度人群 CVD 风险之间的关系。