{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T13:48:06Z","timestamp":1765547286680,"version":"3.32.0"},"reference-count":30,"publisher":"Scientific Scholar","content-domain":{"domain":["ijmr.org.in"],"crossmark-restriction":true},"short-container-title":["Indian J Med Res"],"abstract":"\nBackground & objectives<\/jats:title>\nCardiovascular 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\u2019s non-laboratory risk chart and identify factors associated with elevated CVD risk (10%).<\/jats:p>\n<\/jats:sec>\n\nMethods<\/jats:title>\nThe current study used a nationally representative sample of 40-69 yr adults in India. The population\u2019s 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 (\u226510%).<\/jats:p>\n<\/jats:sec>\n\nResults<\/jats:title>\nOut 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).<\/jats:p>\n<\/jats:sec>\n\nInterpretation & conclusions<\/jats:title>\nThe 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.<\/jats:p>\n<\/jats:sec>","DOI":"10.25259\/ijmr_1748_23","type":"journal-article","created":{"date-parts":[[2024,8,3]],"date-time":"2024-08-03T19:51:40Z","timestamp":1722714700000},"page":"429-440","update-policy":"https:\/\/doi.org\/10.25259\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Ten-year risk assessment for cardiovascular disease & associated factors among adult Indians (aged 40-69 yr): Insights from the National Noncommunicable Disease Monitoring Survey (NNMS)"],"prefix":"10.25259","volume":"159","author":[{"given":"Vaitheeswaran","family":"Kulothungan","sequence":"first","affiliation":[{"name":"ICMR - National Centre for Disease Informatics and Research, Bengaluru, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baridalyne","family":"Nongkynrih","sequence":"additional","affiliation":[{"name":"Centre for 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