Associations Between Healthy Lifestyle Trajectories and the Incidence of Cardiovascular Disease With All-Cause Mortality: A Large, Prospective, Chinese Cohort Study
Lifestyles generally change across the life course yet no prospective study has examined direct associations between healthy lifestyle trajectories and subsequent cardiovascular disease (CVD) or all-cause mortality risk. Healthy lifestyle score trajectories during 2006-2007, 2008-2009, and 2010-2011...
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Published in | Frontiers in cardiovascular medicine Vol. 8; p. 790497 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
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20.12.2021
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Abstract | Lifestyles generally change across the life course yet no prospective study has examined direct associations between healthy lifestyle trajectories and subsequent cardiovascular disease (CVD) or all-cause mortality risk.
Healthy lifestyle score trajectories during 2006-2007, 2008-2009, and 2010-2011 were collated through latent mixture modeling. An age-scale based Cox proportional hazard regression model was implemented to calculate hazard ratios (HR) with corresponding 95% confidence intervals (CI) for developing CVD or all-cause mortality across healthy lifestyle trajectories.
52,248 participants were included with four distinct trajectories identified according to healthy lifestyle scores over 6 years i.e., low-stable (
= 11,248), high-decreasing (
= 7,374), low-increasing (
= 7,828), and high-stable (
= 25,799). Compared with the low-stable trajectory, the high-stable trajectory negatively correlated with lower subsequent risk of developing CVD (HR, 0.73; 95% CI, 0.65-0.81), especially stroke (HR, 0.70; 95% CI, 0.62-0.79), and all-cause mortality (HR, 0.89; 95% CI, 0.80-0.99) under a multivariable-adjusted model. A protective effect for CVD events was observed only in men and in those without diabetes, while a reduced risk of all-cause mortality was observed only in those older than 60 years, though interactions were not statistically significant. Marginally significant interactions were observed between the changing body mass index (BMI) group, healthy lifestyle score trajectories and stratified analysis. This highlighted an inverse correlation between the high-stable trajectory and CVD in BMI decreased and stable participants as well as all-cause mortality in the stable BMI group. The low-increasing trajectory also had reduced risk of CVD only when BMI decreased and in all-cause mortality only when BMI was stable.
Maintaining a healthy lifestyle over 6 years corresponds with a 27% lower risk of CVD and an 11% lower risk in all-cause mortality, compared with those engaging in a consistently unhealthy lifestyle. The benefit of improving lifestyle could be gained only after BMI change is considered further. This study provides further evidence from China around maintaining/improving healthy lifestyles to prevent CVD and early death. |
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AbstractList | Background: Lifestyles generally change across the life course yet no prospective study has examined direct associations between healthy lifestyle trajectories and subsequent cardiovascular disease (CVD) or all-cause mortality risk.Methods: Healthy lifestyle score trajectories during 2006–2007, 2008–2009, and 2010–2011 were collated through latent mixture modeling. An age-scale based Cox proportional hazard regression model was implemented to calculate hazard ratios (HR) with corresponding 95% confidence intervals (CI) for developing CVD or all-cause mortality across healthy lifestyle trajectories.Results: 52,248 participants were included with four distinct trajectories identified according to healthy lifestyle scores over 6 years i.e., low-stable (n = 11,248), high-decreasing (n = 7,374), low-increasing (n = 7,828), and high-stable (n = 25,799). Compared with the low-stable trajectory, the high-stable trajectory negatively correlated with lower subsequent risk of developing CVD (HR, 0.73; 95% CI, 0.65–0.81), especially stroke (HR, 0.70; 95% CI, 0.62–0.79), and all-cause mortality (HR, 0.89; 95% CI, 0.80–0.99) under a multivariable-adjusted model. A protective effect for CVD events was observed only in men and in those without diabetes, while a reduced risk of all-cause mortality was observed only in those older than 60 years, though interactions were not statistically significant. Marginally significant interactions were observed between the changing body mass index (BMI) group, healthy lifestyle score trajectories and stratified analysis. This highlighted an inverse correlation between the high-stable trajectory and CVD in BMI decreased and stable participants as well as all-cause mortality in the stable BMI group. The low-increasing trajectory also had reduced risk of CVD only when BMI decreased and in all-cause mortality only when BMI was stable.Conclusions: Maintaining a healthy lifestyle over 6 years corresponds with a 27% lower risk of CVD and an 11% lower risk in all-cause mortality, compared with those engaging in a consistently unhealthy lifestyle. The benefit of improving lifestyle could be gained only after BMI change is considered further. This study provides further evidence from China around maintaining/improving healthy lifestyles to prevent CVD and early death. Background: Lifestyles generally change across the life course yet no prospective study has examined direct associations between healthy lifestyle trajectories and subsequent cardiovascular disease (CVD) or all-cause mortality risk. Methods: Healthy lifestyle score trajectories during 2006–2007, 2008–2009, and 2010–2011 were collated through latent mixture modeling. An age-scale based Cox proportional hazard regression model was implemented to calculate hazard ratios (HR) with corresponding 95% confidence intervals (CI) for developing CVD or all-cause mortality across healthy lifestyle trajectories. Results: 52,248 participants were included with four distinct trajectories identified according to healthy lifestyle scores over 6 years i.e., low-stable ( n = 11,248), high-decreasing ( n = 7,374), low-increasing ( n = 7,828), and high-stable ( n = 25,799). Compared with the low-stable trajectory, the high-stable trajectory negatively correlated with lower subsequent risk of developing CVD (HR, 0.73; 95% CI, 0.65–0.81), especially stroke (HR, 0.70; 95% CI, 0.62–0.79), and all-cause mortality (HR, 0.89; 95% CI, 0.80–0.99) under a multivariable-adjusted model. A protective effect for CVD events was observed only in men and in those without diabetes, while a reduced risk of all-cause mortality was observed only in those older than 60 years, though interactions were not statistically significant. Marginally significant interactions were observed between the changing body mass index (BMI) group, healthy lifestyle score trajectories and stratified analysis. This highlighted an inverse correlation between the high-stable trajectory and CVD in BMI decreased and stable participants as well as all-cause mortality in the stable BMI group. The low-increasing trajectory also had reduced risk of CVD only when BMI decreased and in all-cause mortality only when BMI was stable. Conclusions: Maintaining a healthy lifestyle over 6 years corresponds with a 27% lower risk of CVD and an 11% lower risk in all-cause mortality, compared with those engaging in a consistently unhealthy lifestyle. The benefit of improving lifestyle could be gained only after BMI change is considered further. This study provides further evidence from China around maintaining/improving healthy lifestyles to prevent CVD and early death. Lifestyles generally change across the life course yet no prospective study has examined direct associations between healthy lifestyle trajectories and subsequent cardiovascular disease (CVD) or all-cause mortality risk. Healthy lifestyle score trajectories during 2006-2007, 2008-2009, and 2010-2011 were collated through latent mixture modeling. An age-scale based Cox proportional hazard regression model was implemented to calculate hazard ratios (HR) with corresponding 95% confidence intervals (CI) for developing CVD or all-cause mortality across healthy lifestyle trajectories. 52,248 participants were included with four distinct trajectories identified according to healthy lifestyle scores over 6 years i.e., low-stable ( = 11,248), high-decreasing ( = 7,374), low-increasing ( = 7,828), and high-stable ( = 25,799). Compared with the low-stable trajectory, the high-stable trajectory negatively correlated with lower subsequent risk of developing CVD (HR, 0.73; 95% CI, 0.65-0.81), especially stroke (HR, 0.70; 95% CI, 0.62-0.79), and all-cause mortality (HR, 0.89; 95% CI, 0.80-0.99) under a multivariable-adjusted model. A protective effect for CVD events was observed only in men and in those without diabetes, while a reduced risk of all-cause mortality was observed only in those older than 60 years, though interactions were not statistically significant. Marginally significant interactions were observed between the changing body mass index (BMI) group, healthy lifestyle score trajectories and stratified analysis. This highlighted an inverse correlation between the high-stable trajectory and CVD in BMI decreased and stable participants as well as all-cause mortality in the stable BMI group. The low-increasing trajectory also had reduced risk of CVD only when BMI decreased and in all-cause mortality only when BMI was stable. Maintaining a healthy lifestyle over 6 years corresponds with a 27% lower risk of CVD and an 11% lower risk in all-cause mortality, compared with those engaging in a consistently unhealthy lifestyle. The benefit of improving lifestyle could be gained only after BMI change is considered further. This study provides further evidence from China around maintaining/improving healthy lifestyles to prevent CVD and early death. |
Author | Ding, Xiong Yuan, Xiaojie Wang, Guodong Li, Yun Yuan, Xiaodong Fang, Wei Wu, Ying Chen, Shuohua Wu, Shouling Seery, Samuel Zhou, Hui |
AuthorAffiliation | 1 School of Public Health, North China University of Science and Technology , Tangshan , China 5 Department of Cardiology, Kailuan General Hospital , Tangshan , China 2 Shantou University Medical College , Shantou , China 4 Division of Health Research, Faculty of Health and Medicine, Lancaster University , Lancaster , United Kingdom 3 Department of Epidemiology, School of Public Health, Air Force Medical University , Xi'an , China 6 College of Nursing and Rehabilitation, North China University of Science and Technology , Tangshan , China 7 Department of Neurosurgery, Kailuan General Hospital , Tangshan , China |
AuthorAffiliation_xml | – name: 3 Department of Epidemiology, School of Public Health, Air Force Medical University , Xi'an , China – name: 2 Shantou University Medical College , Shantou , China – name: 7 Department of Neurosurgery, Kailuan General Hospital , Tangshan , China – name: 5 Department of Cardiology, Kailuan General Hospital , Tangshan , China – name: 1 School of Public Health, North China University of Science and Technology , Tangshan , China – name: 6 College of Nursing and Rehabilitation, North China University of Science and Technology , Tangshan , China – name: 4 Division of Health Research, Faculty of Health and Medicine, Lancaster University , Lancaster , United Kingdom |
Author_xml | – sequence: 1 givenname: Xiong surname: Ding fullname: Ding, Xiong organization: School of Public Health, North China University of Science and Technology, Tangshan, China – sequence: 2 givenname: Wei surname: Fang fullname: Fang, Wei organization: Shantou University Medical College, Shantou, China – sequence: 3 givenname: Xiaojie surname: Yuan fullname: Yuan, Xiaojie organization: Department of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, China – sequence: 4 givenname: Samuel surname: Seery fullname: Seery, Samuel organization: Division of Health Research, Faculty of Health and Medicine, Lancaster University, Lancaster, United Kingdom – sequence: 5 givenname: Ying surname: Wu fullname: Wu, Ying organization: School of Public Health, North China University of Science and Technology, Tangshan, China – sequence: 6 givenname: Shuohua surname: Chen fullname: Chen, Shuohua organization: Department of Cardiology, Kailuan General Hospital, Tangshan, China – sequence: 7 givenname: Hui surname: Zhou fullname: Zhou, Hui organization: College of Nursing and Rehabilitation, North China University of Science and Technology, Tangshan, China – sequence: 8 givenname: Guodong surname: Wang fullname: Wang, Guodong organization: Department of Cardiology, Kailuan General Hospital, Tangshan, China – sequence: 9 givenname: Yun surname: Li fullname: Li, Yun organization: School of Public Health, North China University of Science and Technology, Tangshan, China – sequence: 10 givenname: Xiaodong surname: Yuan fullname: Yuan, Xiaodong organization: Department of Neurosurgery, Kailuan General Hospital, Tangshan, China – sequence: 11 givenname: Shouling surname: Wu fullname: Wu, Shouling organization: Department of Cardiology, Kailuan General Hospital, Tangshan, China |
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Cites_doi | 10.1161/01.CIR.90.1.583 10.1136/jech-2017-210363 10.1016/S0140-6736(15)00551-6 10.1136/jech-2015-206760 10.3760/cma.j.issn.0254-6450.2019.02.003 10.1038/s41366-021-00922-2 10.1016/j.ypmed.2003.09.028 10.1016/j.amepre.2018.04.046 10.1161/HYPERTENSIONAHA.116.07381 10.2337/dc20-0256 10.3760/j.issn:0253-3758.2007.05.003 10.1161/01.STR.20.10.1407 10.1212/WNL.0000000000012263 10.1007/s11886-014-0529-9 10.1093/ajcn/nqaa331 10.1161/JAHA.115.002432 10.1001/jamacardio.2019.0295 10.1016/S0140-6736(19)32008-2 10.1146/annurev.clinpsy.121208.131413 10.1007/s10900-014-9820-3 10.1016/j.ypmed.2020.106068 10.1093/gerona/glz271 10.1016/j.mayocp.2018.04.020 10.1093/eurheartj/ehab454 10.1007/s12020-019-01892-2 10.1080/03009734.2020.1726533 10.1161/CIR.0000000000000395 10.1093/ajcn/nqz310 10.3321/j.issn:0512-7955.2004.01.001 10.13325/j.cnki.acta.nutr.sin.2020.06.002 10.1001/jamanetworkopen.2019.4758 10.1161/STROKEAHA.113.678839 10.1161/CIRCRESAHA.120.317950 10.1111/joim.12907 10.3390/nu11071687 10.5551/jat.59394 10.1016/j.cgh.2020.05.009 |
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Copyright | Copyright © 2021 Ding, Fang, Yuan, Seery, Wu, Chen, Zhou, Wang, Li, Yuan and Wu. Copyright © 2021 Ding, Fang, Yuan, Seery, Wu, Chen, Zhou, Wang, Li, Yuan and Wu. 2021 Ding, Fang, Yuan, Seery, Wu, Chen, Zhou, Wang, Li, Yuan and Wu |
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Keywords | cardiovascular disease cohort BMI change trajectory all-cause mortality lifestyle |
Language | English |
License | Copyright © 2021 Ding, Fang, Yuan, Seery, Wu, Chen, Zhou, Wang, Li, Yuan and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by: Gen-Min Lin, Hualien Armed Forces General Hospital, Taiwan Reviewed by: Asiiat Alieva, Almazov National Medical Research Centre, Russia; Irene R. Degano, Centro de Investigación Biomédica en Red en Enfermedades Cardiovasculares (CIBERCV), Spain These authors have contributed equally to this work and share first authorship This article was submitted to Cardiovascular Epidemiology and Prevention, a section of the journal Frontiers in Cardiovascular Medicine |
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Snippet | Lifestyles generally change across the life course yet no prospective study has examined direct associations between healthy lifestyle trajectories and... Background: Lifestyles generally change across the life course yet no prospective study has examined direct associations between healthy lifestyle trajectories... Background: Lifestyles generally change across the life course yet no prospective study has examined direct associations between healthy lifestyle trajectories... |
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SubjectTerms | all-cause mortality BMI change cardiovascular disease Cardiovascular Medicine cohort lifestyle trajectory |
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Title | Associations Between Healthy Lifestyle Trajectories and the Incidence of Cardiovascular Disease With All-Cause Mortality: A Large, Prospective, Chinese Cohort Study |
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