{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T00:18:54Z","timestamp":1789172334767,"version":"build-2803163510"},"reference-count":40,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"5","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2023,3,7]]},"abstract":"<jats:sec sec-type=\"background\" xml:lang=\"en\">\n            <jats:title>Background<\/jats:title>\n            <jats:p xml:lang=\"en\">The Healthy Aging Index (HAI) has been regarded as useful in capturing the health status of multiple organ systems. However, to what extent the HAI is associated with major cardiovascular events remains largely unknown. The authors constructed a modified HAI (mHAI) to quantify the association of physiological aging with major vascular events and explored how the effects of a healthy lifestyle can modify this association.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Methods and Results<\/jats:title>\n            <jats:p xml:lang=\"en\">The participants with either missing values of any individual mHAI component or major illnesses such as heart attack, angina and stroke, and self\u2010reported cancer at baseline were excluded. The mHAI components include systolic blood pressure, reaction time, forced vital capacity, serum cystatin c, and serum glucose. The authors used Cox proportional hazard models to quantify the association of mHAI with major adverse cardiac events, major coronary events, and ischemic heart disease. Cumulative incidence at 5 and 10 years was estimated, and joint analyses were stratified by age group and 4 mHAI categories. The mHAI was significantly correlated with major cardiovascular events, which is a better reflection of the aging level of the body than chronological age. An mHAI was calculated in 338\u2009044 participants aged 38 to 73\u2009years in the UK Biobank. Each point increase in the mHAI was associated with a 44% higher risk of major adverse cardiac events (adjusted hazard ratio [aHR], 1.44 [95% CI, 1.40\u20131.49]), 44% higher risk of major coronary events (aHR, 1.44 [95% CI, 1.40\u20131.48]), and 36% higher risk of ischemic heart disease (aHR, 1.36 [95% CI, 1.33\u20131.39]). The percentage of population\u2010attribution risk was 51% (95% CI, 47\u201355) for major adverse cardiac events, 49% (95% CI, 45\u201353) for major coronary events, and 47% (95% CI, 44\u201350) for ischemic heart disease, which means that a substantial portion of these events could be prevented. Systolic blood pressure was the factor most significantly associated with major adverse cardiac events (aHR, 1.94 [95% CI, 1.82\u20132.08]; percentage of population\u2010attribution risk, 36%), major coronary events (aHR, 2.01 [95% CI, 1.85\u20132.17]; percentage of population\u2010attribution risk, 38%), and ischemic heart disease (aHR, 1.80 [95% CI, 1.71\u20131.89]; percentage of population\u2010attribution risk, 32%). A healthy lifestyle significantly attenuated mHAI associations with incidence of vascular events.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p xml:lang=\"en\">Our findings indicate that higher mHAI is associated with increased major vascular events. A healthy lifestyle may attenuate these associations.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/jaha.122.026736","type":"journal-article","created":{"date-parts":[[2023,3,5]],"date-time":"2023-03-05T02:28:51Z","timestamp":1677983331000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":13,"title":["Associations of Modified Healthy Aging Index With Major Adverse Cardiac Events, Major Coronary Events, and Ischemic Heart Disease"],"prefix":"10.1161","volume":"12","author":[{"given":"Ninghao","family":"Huang","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Biostatistics, School of Public Health Peking University Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenhuang","family":"Zhuang","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, School of Public Health Peking University Beijing 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