Low-risk Lifestyle and Health Factors and Risk of Mortality and Vascular Complications in Chinese Patients With Diabetes.


Journal

The Journal of clinical endocrinology and metabolism
ISSN: 1945-7197
Titre abrégé: J Clin Endocrinol Metab
Pays: United States
ID NLM: 0375362

Informations de publication

Date de publication:
18 08 2022
Historique:
received: 03 02 2022
pubmed: 24 4 2022
medline: 23 8 2022
entrez: 23 4 2022
Statut: ppublish

Résumé

There is an evidence gap about whether a low-risk lifestyle is as important as achieving blood pressure (BP) and random blood glucose (RBG) control. To explore the long-term impacts and relative importance of low-risk lifestyle and health factors on the risk of all-cause and cancer mortality and macrovascular and microvascular complications among patients with diabetes. This study included 26,004 diabetes patients in the China Kadoorie Biobank. We defined 5 lifestyle factors (smoking, alcohol drinking, physical activity, fruit and vegetable intake, and waist-to-hip ratio) and 2 health factors (BP and RBG). Cox regression was used to yield adjusted hazard ratios (HRs) and CIs for individual and combined lifestyle and health factors with the risks of diabetes-related outcomes. There were 5063 deaths, 6848 macrovascular complications, and 2055 microvascular complications that occurred during a median follow-up of 10.2 years. Combined low-risk lifestyle factors were associated with lower risk of all main outcomes, with HRs (95% CIs) for participants having 4 to 5 low-risk factors vs 0 to 1 of 0.50 (0.44-0.57) for all-cause mortality, 0.55 (0.43-0.71) for cancer mortality, 0.60 (0.54-0.67) for macrovascular complications, and 0.75 (0.62-0.91) for microvascular complications. The combined 4 to 5 low-risk lifestyle factors showed relative importance in predicting all-cause and cancer mortality and macrovascular complications. Assuming causality exists, our findings suggest that adopting a low-risk lifestyle should be regarded as important as achieving ideal BP and glycemic goals in the prevention and management of diabetes-related adverse outcomes.

Sections du résumé

BACKGROUND
There is an evidence gap about whether a low-risk lifestyle is as important as achieving blood pressure (BP) and random blood glucose (RBG) control.
OBJECTIVES
To explore the long-term impacts and relative importance of low-risk lifestyle and health factors on the risk of all-cause and cancer mortality and macrovascular and microvascular complications among patients with diabetes.
METHODS
This study included 26,004 diabetes patients in the China Kadoorie Biobank. We defined 5 lifestyle factors (smoking, alcohol drinking, physical activity, fruit and vegetable intake, and waist-to-hip ratio) and 2 health factors (BP and RBG). Cox regression was used to yield adjusted hazard ratios (HRs) and CIs for individual and combined lifestyle and health factors with the risks of diabetes-related outcomes.
RESULTS
There were 5063 deaths, 6848 macrovascular complications, and 2055 microvascular complications that occurred during a median follow-up of 10.2 years. Combined low-risk lifestyle factors were associated with lower risk of all main outcomes, with HRs (95% CIs) for participants having 4 to 5 low-risk factors vs 0 to 1 of 0.50 (0.44-0.57) for all-cause mortality, 0.55 (0.43-0.71) for cancer mortality, 0.60 (0.54-0.67) for macrovascular complications, and 0.75 (0.62-0.91) for microvascular complications. The combined 4 to 5 low-risk lifestyle factors showed relative importance in predicting all-cause and cancer mortality and macrovascular complications.
CONCLUSIONS
Assuming causality exists, our findings suggest that adopting a low-risk lifestyle should be regarded as important as achieving ideal BP and glycemic goals in the prevention and management of diabetes-related adverse outcomes.

Identifiants

pubmed: 35460564
pii: 6573307
doi: 10.1210/clinem/dgac264
pmc: PMC9387694
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e3919-e3928

Subventions

Organisme : Cancer Research UK
ID : 29186
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_12026/2
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 202922/Z/16/Z
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_00017/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_U137686851
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 088158/Z/09/Z
Pays : United Kingdom
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 104085/Z/14/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 212946/Z/18/Z
Pays : United Kingdom

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of the Endocrine Society.

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Auteurs

Zhijia Sun (Z)

Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China.

Yizhen Hu (Y)

Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China.

Canqing Yu (C)

Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China.

Yu Guo (Y)

Fuwai Hospital Chinese Academy of Medical Sciences, Beijing 100037, China.

Yuanjie Pang (Y)

Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China.

Dianjianyi Sun (D)

Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China.

Pei Pei (P)

Chinese Academy of Medical Sciences, Beijing 100730, China.

Ling Yang (L)

Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, United Kingdom.
Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom.

Yiping Chen (Y)

Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, United Kingdom.
Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom.

Huaidong Du (H)

Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, United Kingdom.
Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom.

Jianrong Jin (J)

Wuzhong CDC, Jiangsu 215128, China.

Sushila Burgess (S)

Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom.

Alex Hacker (A)

Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom.

Junshi Chen (J)

China National Center for Food Safety Risk Assessment, Beijing 100022, China.

Zhengming Chen (Z)

Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom.

Jun Lv (J)

Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China.
Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China.

Liming Li (L)

Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China.

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