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Importance of healthy lifestyle factors and ideal cardiovascular health metrics for risk of heart failure in Chinese adults

Ruotong Yang, Jun Lv, Canqing Yu, Yu Guo, Zheng Bian, Yuting Han, Ling Yang, Yiping Chen, Huaidong Du, Jianjun Liu, Chan Qu, Junshi Chen, Zhengming Chen, Robert Clarke, Tao Huang, Liming Li, the China Kadoorie Biobank Collaborative Group, Junshi Chen, Zhengming Chen, Robert Clarke, Rory Collins, Yu Guo, Liming Li, Jun Lv, Richard Peto, Robin Walters, Daniel Avery, Ruth Boxall, Derrick Bennett, Yu‐Mei Chang, Yiping Chen, Zhengming Chen, Robert Clarke, Huaidong Du, Simon Gilbert, Alex Hacker, Mike Hill, Michael V. Holmes, Andri Iona, Christiana Kartsonaki, Rene Kerosi, Lingquan Kong, Om Kurmi, Garry Lancaster, Sarah Lewington, Kuang Lin, John McDonnell, Iona Y. Millwood, Qunhua Nie, Jayakrishnan Radhakrishnan, Paul Ryder, Sam Sansome, Dan Schmidt, Paul Sherliker, Rajani Sohoni, Becky Stevens, Iain Turnbull, Robin Walters, Jenny Wang, Lin Wang, Neil Wright, Ling Yang, Xiaoming Yang, Zheng Bian, Yu Guo, Xiao Han, Can Hou, Jun Lv, Pei Pei, Chao Liu, Canqing Yu, Zengchang Pang, Ruqin Gao, Shanpeng Li, Shaojie Wang, Yongmei Liu, Huaidong Du, Yajing Zang, Liang Cheng, Xiaocao Tian, Hua Zhang, Yaoming Zhai, Feng Ning, Xiaohui Sun, Feifei Li, Jun Lv, Junzheng Wang, Wei Hou, Mingyuan Zeng, Ge Jiang, Xue Zhou, Liqiu Yang, Hui He, Bo Yu, Yanjie Li, Qinai Xu, Quan Kang, Ziyan Guo, Dan Wang, Ximin Hu

2021International Journal of Epidemiology19 citationsDOIOpen Access PDF

Abstract

BACKGROUND: The relative importance of healthy lifestyle factors and cardiovascular health metrics for the risk of heart failure is uncertain in Chinese populations. We aimed to compare the strength of associations between healthy lifestyle factors and ideal cardiovascular health metrics in the risk of heart failure in middle-aged Chinese adults. METHODS: A healthy lifestyle score (HLS) was constructed using smoking, drinking, physical activity, diet, body mass index and waist circumference, and compared with a more comprehensive set of metrics that included cardiovascular-disease risk biomarkers (blood pressure, blood glucose and blood lipids) in addition to the HLS. This broader set of factors [called 'ideal cardiovascular health metrics' (ICVHMs)] was evaluated in 487 197 participants in the China Kadoorie Biobank. RESULTS: A total of 4208 incident cases of heart failure were recorded during a median follow-up of 10 years. Both HLS [hazard ratio (HR), 0.88; 95% confidence interval (CI), 0.85, 0.91] and ICVHMs (0.87: 0.84, 0.89) were inversely associated with risk of heart failure (P < 0.001 for linear trend). Compared with participants with 0-1 HLS, the multivariable-adjusted HR of those with 4-5 HLS was 0.68 (0.59, 0.77). Compared with participants with 0-2 ICVHMs, the adjusted HR (95% CIs) of those who had 7-8 ICVHMs was 0.47 (0.36, 0.60). ICVHMs were more strongly predictive of risk of heart failure (area under curve, 0.61 vs 0.58, P < 0.001) than healthy lifestyle factors alone. CONCLUSIONS: Higher levels of healthy lifestyle factors and ICVHMs were each inversely associated with heart failure, and lifestyle factors combined with cardiometabolic factors improved the prediction of heart failure compared with healthy lifestyle factors alone.

Topics & Concepts

MedicineWaistHazard ratioHeart failureConfidence intervalBody mass indexBlood pressureInternal medicineFramingham Risk ScorePhysical therapyGerontologyDiseaseCardiovascular Health and Risk FactorsNutritional Studies and DietHealth disparities and outcomes