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6. Associations of body mass index trajectory, waist circumference trajectory, or both with type 2 diabetes mellitus risk in Chinese adults: The China‐PAR project

Author

Zhao, Yang, primary, Han, Minghui, additional, Qie, Ranran, additional, Zhang, Yanyan, additional, Wu, Yuying, additional, Fu, Xueru, additional, Zhang, Dongdong, additional, Kuang, Lei, additional, Qin, Pei, additional, Hu, Fulan, additional, Li, Jianxin, additional, Lu, Xiangfeng, additional, Hu, Dongsheng, additional, and Zhang, Ming, additional

Published
2024
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10. Deaths from total and premature cardiovascular disease associated with high normal blood pressure and hypertension in rural Chinese men and elderly people

Author

Liu, Leilei, Liu, Yu, Ren, Yongcheng, Zhao, Yang, Qin, Pei, Liu, Dechen, Chen, Xu, Cheng, Cheng, Liu, Feiyan, Guo, Chunmei, Zhou, Qionggui, Li, Quanman, Tian, Gang, Han, Minghui, Qie, Ranran, Wu, Xiaoyan, Huang, Shengbing, Luo, Xinping, Cheng, Ruirong, Hu, Dongsheng, Wang, Jian, and Zhang, Ming

Published
2021
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12. Association of hypertriglyceridemic waist-to-height ratio and its dynamic status with risk of type 2 diabetes mellitus: The Rural Chinese Cohort Study

Author

Qie, Ranran, Li, Quanman, Zhao, Yang, Han, Minghui, Liu, Dechen, Guo, Chunmei, Zhou, Qionggui, Tian, Gang, Huang, Shengbing, Wu, Xiaoyan, Zhang, Yanyan, Qin, Pei, Li, Honghui, Wang, Jian, Cheng, Ruirong, Lin, Jinchun, Sun, Xizhuo, Wu, Yuying, Li, Yang, Yang, Xingjin, Feng, Yifei, Zhang, Ming, and Hu, Dongsheng

Published
2021
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13. Sugar and artificially sweetened beverages and risk of obesity, type 2 diabetes mellitus, hypertension, and all-cause mortality : a dose–response meta-analysis of prospective cohort studies

Author

Qin, Pei, Li, Quanman, Zhao, Yang, Chen, Qing, Sun, Xizhuo, Liu, Yu, Li, Honghui, Wang, Tieqiang, Chen, Xiaoliang, Zhou, Qionggui, Guo, Chunmei, Zhang, Dongdong, Tian, Gang, Liu, Dechen, Qie, Ranran, Han, Minghui, Huang, Shengbing, Wu, Xiaoyan, Li, Yang, Feng, Yifei, Yang, Xingjin, Hu, Fulan, Hu, Dongsheng, and Zhang, Ming

Published
2020

14. Association of Cycling with Risk of All-Cause and Cardiovascular Disease Mortality: A Systematic Review and Dose–Response Meta-analysis of Prospective Cohort Studies

Author

Zhao, Yang, Hu, Fulan, Feng, Yifei, Yang, Xingjin, Li, Yang, Guo, Chunmei, Li, Quanman, Tian, Gang, Qie, Ranran, Han, Minghui, Huang, Shengbing, Wu, Xiaoyan, Zhang, Yanyan, Wu, Yuying, Liu, Dechen, Zhang, Dongdong, Cheng, Cheng, Zhang, Ming, Yang, Yongli, Shi, Xuezhong, Lu, Jie, and Hu, Dongsheng

Published
2021
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15. Association of TCF7L2 gene polymorphisms, methylation, and gene–environment interaction with type 2 diabetes mellitus risk: A nested case–control study in the Rural Chinese Cohort Study

Author

Qie, Ranran, Han, Minghui, Huang, Shengbing, Li, Quanman, Liu, Leilei, Zhang, Dongdong, Cheng, Cheng, Zhao, Yang, Liu, Dechen, Qin, Pei, Guo, Chunmei, Zhou, Qionggui, Tian, Gang, Zhang, Yanyan, Wu, Xiaoyan, Wu, Yuying, Li, Yang, Yang, Xingjin, Feng, Yifei, Hu, Fulan, Zhang, Ming, Hu, Dongsheng, and Lu, Jie

Published
2021
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16. Association of ABCG1 gene methylation and its dynamic change status with incident type 2 diabetes mellitus: the Rural Chinese Cohort Study

Author

Qie, Ranran, Chen, Qing, Wang, Tieqiang, Chen, Xiaoliang, Wang, Jian, Cheng, Ruirong, Lin, Jinchun, Zhao, Yang, Liu, Dechen, Qin, Pei, Cheng, Cheng, Liu, Leilei, Li, Quanman, Guo, Chunmei, Zhou, Qionggui, Tian, Gang, Han, Minghui, Huang, Shengbing, Zhang, Yanyan, Wu, Xiaoyan, Wu, Yuying, Li, Yang, Yang, Xingjin, Zhao, Yang, Feng, Yifei, Hu, Dongsheng, and Zhang, Ming

Published
2021
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19. Association of non-HDL-C/HDL-C ratio and its dynamic changes with incident type 2 diabetes mellitus: The Rural Chinese Cohort Study

Author

Han, Minghui, Li, Quanman, Qie, Ranran, Guo, Chunmei, Zhou, Qionggui, Tian, Gang, Huang, Shengbing, Wu, Xiaoyan, Ren, Yongcheng, Zhao, Yang, Liu, Dechen, Zhang, Dongdong, Liu, Leilei, Liu, Feiyan, Chen, Xu, Cheng, Cheng, Li, Yang, Yang, Xingjin, Feng, Yifei, Liu, Yu, Li, Honghui, Sun, Xizhuo, Qin, Pei, Chen, Qing, Zhang, Ming, Hu, Dongsheng, and Lu, Jie

Published
2020
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22. All-cause mortality risk with different metabolic abdominal obesity phenotypes: the Rural Chinese Cohort Study.

Author

Wu, Xiaoyan, Zhao, Yang, Zhou, Qionggui, Han, Minghui, Qie, Ranran, Qin, Pei, Zhang, Yanyan, Huang, Zelin, Liu, Jiong, Hu, Fulan, Luo, Xinping, Zhang, Ming, Liu, Yu, Sun, Xizhuo, and Hu, Dongsheng

Subjects
MORTALITY risk factors, CAUSES of death, OBESITY, CONFIDENCE intervals, ABDOMINAL adipose tissue, RISK assessment, METABOLIC disorders, WAIST circumference, DESCRIPTIVE statistics, RESEARCH funding, RURAL population, PHENOTYPES, LONGITUDINAL method, PROPORTIONAL hazards models
Abstract

We aimed to investigate the association of metabolic obesity phenotypes with all-cause mortality risk in a rural Chinese population. This prospective cohort study enrolled 15 704 Chinese adults (38·86 % men) with a median age of 51·00 (interquartile range: 41·00–60·00) at baseline (2007–2008) and followed up during 2013–2014. Obesity was defined by waist circumference (WC: ≥ 90 cm for men and ≥ 80 cm for women) or waist-to-height ratio (WHtR: ≥ 0·5). The hazard ratio (HR) and 95 % CI for the risk of all-cause mortality related to metabolic obesity phenotypes were calculated using the Cox hazards regression model. During a median follow-up of 6·01 years, 864 deaths were identified. When obesity was defined by WC, the prevalence of participants with metabolically healthy non-obesity (MHNO), metabolically healthy obesity (MHO), metabolically unhealthy non-obesity (MUNO) and metabolically unhealthy obesity (MUO) at baseline was 12·12 %, 2·80 %, 41·93 % and 43·15 %, respectively. After adjusting for age, sex, alcohol drinking, smoking, physical activity and education, the risk of all-cause mortality was higher with both MUNO (HR = 1·20, 95 % CI 1·14, 1·26) and MUO (HR = 1·20, 95 % CI 1·13, 1·27) v. MHNO, but the risk was not statistically significant with MHO (HR = 0·99, 95 % CI 0·89, 1·10). This result remained consistent when stratified by sex. Defining obesity by WHtR gave similar results. MHO does not suggest a greater risk of all-cause mortality compared to MHNO, but participants with metabolic abnormality, with or without obesity, have a higher risk of all-cause mortality. These results should be cautiously interpreted as the representation of MHO is small. [ABSTRACT FROM AUTHOR]

Published
2023
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25. Dose-Response Association of Low and Normal Ankle Brachial Index With the Risk of Cardiovascular Disease Morbidity and Mortality.

Author

Zhang, Jinli, Sun, Haohang, Yang, Xingjin, Feng, Yifei, Li, Yang, Han, Minghui, Qie, Ranran, Huang, Shengbing, Yuan, Lijun, Li, Tianze, Hu, Huifang, Li, Xi, Liu, Dechen, Wu, Xiaoyan, Zhang, Yanyan, Wu, Yuying, Hu, Fulan, Zhang, Ming, Sun, Liang, and Zhao, Yang

Subjects
MORTALITY risk factors, CARDIOVASCULAR disease related mortality, CARDIOVASCULAR diseases risk factors, ONLINE information services, RELATIVE medical risk, ANKLE brachial index, MEDICAL information storage & retrieval systems, CONFIDENCE intervals, SYSTEMATIC reviews, DISEASES, REGRESSION analysis, RISK assessment, QUALITY assurance, DESCRIPTIVE statistics, RESEARCH funding, MEDLINE, DOSE-response relationship in biochemistry
Abstract

We quantitatively evaluated the dose-response association of low and normal ankle brachial index (ABI) with the risk of morbidity and mortality from cardiovascular diseases (CVDs). PubMed, Embase, and Web of Science were systematically searched for cohort studies. Random effects or fixed effects models were used to estimate the pooled relative risks (RRs) and 95% confidence intervals (95% CIs). Generalized least squares regression was used to assess study-specific dose-response associations per 0.1 ABI decrease. Restricted cubic splines were used to evaluate linear or nonlinear trends. Twelve cohort studies (57 031 participants) were included in this meta-analysis. For low vs normal ABI levels, the pooled RRs were 2.03 (95% CI, 1.72–2.41; I 2 = 52.9%; pheterogeneity=0.030) and 2.29 (95% CI, 1.98–2.64; I 2 = 39.5%; pheterogeneity =0.158) for CVD morbidity and CVD mortality, respectively. For per 0.1 ABI decrease from 1.40 the risk for CVD morbidity and CVD mortality increased by 8% (1.08, 95% CI 1.04–1.11) and 11% (1.11, 95% CI 1.07–1.15), respectively. Restricted cubic splines showed inverse linear associations for CVD morbidity and CVD mortality. As a non-invasive index, lower ABI was significantly associated with the increased risk of morbidity and mortality from CVDs in an inverse linear manner. [ABSTRACT FROM AUTHOR]

Published
2023
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27. Stage 1 hypertension by the 2017 American College of Cardiology/American Heart Association hypertension guidelines and risk of cardiovascular disease events: systematic review, meta-analysis, and estimation of population etiologic fraction of prospective cohort studies

Author

Han, Minghui, Chen, Qing, Liu, Leilei, Li, Quanman, Ren, Yongcheng, Zhao, Yang, Liu, Dechen, Zhang, Dongdong, Liu, Feiyan, Chen, Xu, Cheng, Cheng, Guo, Chunmei, Zhou, Qionggui, Tian, Gang, Qie, Ranran, Huang, Shengbing, Wu, Xiaoyan, Liu, Yu, Li, Honghui, Sun, Xizhuo, Lu, Jie, Hu, Dongsheng, and Zhang, Ming

Published
2020
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28. Reply

Author

Han, Minghui, Li, Quanman, Liu, Leilei, Zhang, Dongdong, Ren, Yongcheng, Zhao, Yang, Liu, Dechen, Liu, Feiyan, Chen, Xu, Cheng, Cheng, Guo, Chunmei, Zhou, Qionggui, Tian, Gang, Qie, Ranran, Huang, Shengbing, Wu, Xiaoyan, Liu, Yu, Li, Honghui, Sun, Xizhuo, Zhang, Ming, and Hu, Dongsheng

Published
2020
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30. Association of hypertriglyceridemic waist-to-height ratio and its dynamic status with incident hypertension: the Rural Chinese Cohort Study

Author

Li, Quanman, Zhang, Dongdong, Guo, Chunmei, Zhou, Qionggui, Tian, Gang, Liu, Dechen, Chen, Xu, Liu, Leilei, Liu, Feiyan, Cheng, Cheng, Qie, Ranran, Han, Minghui, Huang, Shengbing, Wu, Xiaoyan, Qin, Pei, Li, Jianxin, Cao, Jie, Wang, Bingyuan, Zhao, Yang, Ren, Yongcheng, Liu, Yu, Sun, Xizhuo, Li, Honghui, Yin, Zhaoxia, Zhang, Ming, Huang, Jianfeng, and Hu, Dongsheng

Published
2019
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31. Dose-Response Association of Low and Normal Ankle Brachial Index With the Risk of Cardiovascular Disease Morbidity and Mortality

Author

Zhang, Jinli, primary, Sun, Haohang, additional, Yang, Xingjin, additional, Feng, Yifei, additional, Li, Yang, additional, Han, Minghui, additional, Qie, Ranran, additional, Huang, Shengbing, additional, Yuan, Lijun, additional, Li, Tianze, additional, Hu, Huifang, additional, Li, Xi, additional, Liu, Dechen, additional, Wu, Xiaoyan, additional, Zhang, Yanyan, additional, Wu, Yuying, additional, Hu, Fulan, additional, Zhang, Ming, additional, Sun, Liang, additional, Zhao, Yang, additional, and Hu, Dongsheng, additional

Published
2022
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33. Supplemental Material - Dose-Response Association of Low and Normal Ankle Brachial Index With the Risk of Cardiovascular Disease Morbidity and Mortality

Author

Zhang, Jinli, Sun, Haohang, Yang, Xingjin, Feng, Yifei, Li, Yang, Han, Minghui, Qie, Ranran, Huang, Shengbing, Yuan, Lijun, Li, Tianze, Hu, Huifang, Li, Xi, Liu, Dechen, Wu, Xiaoyan, Zhang, Yanyan, Wu, Yuying, Hu, Fulan, Zhang, Ming, Sun, Liang, Zhao, Yang, and Hu, Dongsheng

Subjects
Cardiology
Abstract

Supplemental Material for Dose-Response Association of Low and Normal Ankle Brachial Index With the Risk of Cardiovascular Disease Morbidity and Mortality by Jinli Zhang, Haohang Sun, Xingjin Yang, Yifei Feng, Yang Li, Minghui Han, Ranran Qie, Shengbing Huang, Lijun Yuan, Tianze Li, Huifang Hu, Xi Li, Dechen Liu, Xiaoyan Wu, Yanyan Zhang, Yuying Wu, Fulan Hu, Ming Zhang, Liang Sun, Dongsheng Hu, and Yang Zhao in Angiology

Published
2022
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34. Fried-food consumption and risk of overweight/obesity, type 2 diabetes mellitus, and hypertension in adults: a meta-analysis of observational studies.

Author

Qin, Pei, Liu, Dechen, Wu, Xiaoyan, Zeng, Yunhong, Sun, Xizhuo, Zhang, Yanyan, Li, Yang, Wu, Yuying, Han, Minghui, Qie, Ranran, Huang, Shengbing, Zhao, Yang, Feng, Yifei, Yang, Xingjin, Liu, Yu, Li, Honghui, Zhang, Ming, Hu, Dongsheng, and Hu, Fulan

Subjects
TYPE 2 diabetes, OBESITY, SCIENTIFIC observation, HYPERTENSION
Abstract

Recent studies have reported conflicting associations of fried-food consumption and risk of overweight/obesity, type 2 diabetes mellitus (T2DM) and hypertension, and a meta-analysis is not available. We aimed to explore the association between fried-food consumption and risk of overweight/obesity, T2DM and hypertension in adults through a meta-analysis. We searched PubMed, EMBASE, and Web of Science for studies published up to 17 June 2020. Pooled relative risks (RRs) and 95% confidence intervals (CIs) were calculated by random-effects models. In comparing the highest to lowest fried-food intake, the pooled RRs (95% CIs) were 1.16 (1.07-1.25; I2 = 71.0%, Pheterogeneity < 0.001) for overweight/obesity (cohort: 1.19 [0.97-1.47], n = 2; cross-sectional: 1.14 [1.03-1.27], n = 9), 1.07 (0.90-1.27; 84.7%) for T2DM (cohort: 1.01 [0.89-1.15], n = 9; case-control: 2.33 [1.80-3.01], n = 1), and 1.20 (1.05-1.38; I2=91.8%) for hypertension (cohort: 1.06 [0.98-1.15], n = 8; cross-sectional: 2.16 [0.59-7.87], n = 3). Our meta-analysis indicates fried-food consumption is associated with increased risk of overweight/obesity and hypertension but not T2DM in adults, but the findings should be interpreted with caution due to high heterogeneity and unstable subgroup analyses of this meta-analysis. More studies are warranted to investigate the total fried-food consumption and these health outcomes. [ABSTRACT FROM AUTHOR]

Published
2022
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36. Independent and joint associations of non-exercise cardiorespiratory fitness and obesity with risk of type 2 diabetes mellitus in the Rural Chinese Cohort Study

Author

Zhao, Yang, primary, Qie, Ranran, additional, Han, Minghui, additional, Huang, Shengbing, additional, Wu, Xiaoyan, additional, Zhang, Yanyan, additional, Feng, Yifei, additional, Yang, Xingjin, additional, Li, Yang, additional, Wu, Yuying, additional, Liu, Dechen, additional, Hu, Fulan, additional, Zhang, Ming, additional, Liu, Yu, additional, Sun, Xizhou, additional, Hu, Dongsheng, additional, and Sun, Liang, additional

Published
2022
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37. Long-term association of ambient air pollution and hypertension in adults and in children: A systematic review and meta-analysis

Author

Qin, Pei, primary, Luo, Xinping, additional, Zeng, Yunhong, additional, Zhang, Yanyan, additional, Li, Yang, additional, Wu, Yuying, additional, Han, Minghui, additional, Qie, Ranran, additional, Wu, Xiaoyan, additional, Liu, Dechen, additional, Huang, Shengbing, additional, Zhao, Yang, additional, Feng, Yifei, additional, Yang, Xingjin, additional, Hu, Fulan, additional, Sun, Xizhuo, additional, Hu, Dongsheng, additional, and Zhang, Ming, additional

Published
2021
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38. Metabolic Score for Visceral Fat: a novel predictor for the risk of type 2 diabetes mellitus

Author

Feng, Yifei, primary, Yang, Xingjin, additional, Li, Yang, additional, Wu, Yuying, additional, Han, Minghui, additional, Qie, Ranran, additional, Huang, Shengbing, additional, Wu, Xiaoyan, additional, Zhang, Yanyan, additional, Zhang, Jinli, additional, Hu, Huifang, additional, Yuan, Lijun, additional, Li, Tianze, additional, Liu, Dechen, additional, Hu, Fulan, additional, Zhang, Ming, additional, Zeng, Yunhong, additional, Luo, Xinping, additional, Lu, Jie, additional, Sun, Liang, additional, Hu, Dongsheng, additional, and Zhao, Yang, additional

Published
2021
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40. Air pollution and DNA methylation in adults: A systematic review and meta-analysis of observational studies

Author

Wu, Yuying, primary, Qie, Ranran, additional, Cheng, Min, additional, Zeng, Yunhong, additional, Huang, Shengbing, additional, Guo, Chunmei, additional, Zhou, Qionggui, additional, Li, Quanman, additional, Tian, Gang, additional, Han, Minghui, additional, Zhang, Yanyan, additional, Wu, Xiaoyan, additional, Li, Yang, additional, Zhao, Yang, additional, Yang, Xingjin, additional, Feng, Yifei, additional, Liu, Dechen, additional, Qin, Pei, additional, Hu, Dongsheng, additional, Hu, Fulan, additional, Xu, Lidan, additional, and Zhang, Ming, additional

Published
2021
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41. Integrated analysis of probability of type 2 diabetes mellitus with polymorphisms and methylation ofKCNQ1gene: A nested case‐control study

Author

Hu, Fulan, primary, Zhang, Yanyan, additional, Qin, Pei, additional, Zhao, Yang, additional, Liu, Dechen, additional, Zhou, Qionggui, additional, Tian, Gang, additional, Li, Quanman, additional, Guo, Chunmei, additional, Wu, Xiaoyan, additional, Qie, Ranran, additional, Huang, Shengbing, additional, Han, Minghui, additional, Li, Yang, additional, Zhang, Ming, additional, and Hu, Dongsheng, additional

Published
2021
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42. Metabolic Score for Visceral Fat: a novel predictor for the risk of type 2 diabetes mellitus.

Author

Feng, Yifei, Yang, Xingjin, Li, Yang, Wu, Yuying, Han, Minghui, Qie, Ranran, Huang, Shengbing, Wu, Xiaoyan, Zhang, Yanyan, Zhang, Jinli, Hu, Huifang, Yuan, Lijun, Li, Tianze, Liu, Dechen, Hu, Fulan, Zhang, Ming, Zeng, Yunhong, Luo, Xinping, Lu, Jie, and Sun, Liang

Subjects
CONFIDENCE intervals, PREDICTIVE tests, ANTHROPOMETRY, TYPE 2 diabetes, RISK assessment, DESCRIPTIVE statistics, RECEIVER operating characteristic curves, ADIPOSE tissues, DOSE-response relationship in biochemistry, LONGITUDINAL method, PROPORTIONAL hazards models, DISEASE risk factors
Abstract

To investigate the association between the Metabolic Score for Visceral Fat (METS-VF) and risk of type 2 diabetes mellitus (T2DM) and compare the predictive value of the METS-VF for T2DM incidence with other obesity indices in Chinese people. A total of 12 237 non-T2DM participants aged over 18 years from the Rural Chinese Cohort Study of 2007–2008 were included at baseline and followed up during 2013–2014. The cox proportional hazards regression was used to calculate hazard ratios (HR) and 95 % CI for the association between baseline METS-VF and T2DM risk. Restricted cubic splines were used to model the association between METS-VF and T2DM risk. Area under the receiver operating characteristic curve (AUC) analysis was used to evaluate the ability of METS-VF to predict T2DM incidence. During a median follow-up of 6·01 (95 % CI 5·09, 6·06) years, 837 cases developed T2DM. After adjusting for potential confounding factors, the adjusted HR for the highest v. lowest METS-VF quartile was 5·97 (95 % CI 4·28, 8·32), with a per 1-sd increase in METS-VF positively associated with T2DM risk. Positive associations were also found in the sensitivity and subgroup analyses, respectively. A significant nonlinear dose–response association was observed between METS-VF and T2DM risk for all participants (Pnonlinearity = 0·0347). Finally, the AUC value of METS-VF for predicting T2DM was largest among six indices. The METS-VF may be a reliable and applicable predictor of T2DM incidence in Chinese people regardless of sex, age or BMI. [ABSTRACT FROM AUTHOR]

Published
2022
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43. Solid fuel use and cardiovascular events: A systematic review and meta‐analysis of observational studies

Author

Huang, Shengbing, primary, Guo, Chunmei, additional, Qie, Ranran, additional, Han, Minghui, additional, Wu, Xiaoyan, additional, Zhang, Yanyan, additional, Yang, Xingjin, additional, Feng, Yifei, additional, Li, Yang, additional, Wu, Yuying, additional, Liu, Dechen, additional, Sun, Liang, additional, Hu, Dongsheng, additional, and Zhao, Yang, additional

Published
2021
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44. Association of FTO gene methylation with incident type 2 diabetes mellitus: A nested case–control study

Author

Huang, Shengbing, primary, Qin, Pei, additional, Chen, Qing, additional, Zhang, Dongdong, additional, Cheng, Cheng, additional, Guo, Chunmei, additional, Li, Quanman, additional, Zhou, Qionggui, additional, Tian, Gang, additional, Qie, Ranran, additional, Han, Minghui, additional, Wu, Xiaoyan, additional, Yang, Xingjin, additional, Feng, Yifei, additional, Li, Yang, additional, Zhang, Yanyan, additional, Wu, Yuying, additional, Liu, Dechen, additional, Lu, Jie, additional, Zhang, Ming, additional, Zhao, Yang, additional, and Hu, Dongsheng, additional

Published
2021
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45. Association of BMI with cardiovascular disease incidence and mortality in patients with type 2 diabetes mellitus: A systematic review and dose–response meta-analysis of cohort studies

Author

Zhao, Yang, primary, Qie, Ranran, additional, Han, Minghui, additional, Huang, Shengbing, additional, Wu, Xiaoyan, additional, Zhang, Yanyan, additional, Feng, Yifei, additional, Yang, Xingjin, additional, Li, Yang, additional, Wu, Yuying, additional, Liu, Dechen, additional, Hu, Fulan, additional, Zhang, Ming, additional, Sun, Liang, additional, and Hu, Dongsheng, additional

Published
2021
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46. Dose–Response Association Between High-Density Lipoprotein Cholesterol and Stroke: A Systematic Review and Meta-Analysis of Prospective Cohort Studies

Author

Qie, Ranran, primary, Liu, Leilei, additional, Zhang, Dongdong, additional, Han, Minghui, additional, Wang, Bingyuan, additional, Zhao, Yang, additional, Liu, Dechen, additional, Guo, Chunmei, additional, Li, Quanman, additional, Zhou, Qionggui, additional, Tian, Gang, additional, Huang, Shengbing, additional, Wu, Xiaoyan, additional, Qin, Pei, additional, Li, Jianxin, additional, Cao, Jie, additional, Zhang, Ming, additional, Huang, Jianfeng, additional, Lu, Jie, additional, and Hu, Dongsheng, additional

Published
2021
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47. Cardiorespiratory fitness and mortality from all causes, cardiovascular disease and cancer: dose-response meta-analysis of cohort studies.

Author

Minghui Han, Ranran Qie, Xuezhong Shi, Yongli Yang, Jie Lu, Fulan Hu, Ming Zhang, Zhenzhong Zhang, Dongsheng Hu, Yang Zhao, Han, Minghui, Qie, Ranran, Shi, Xuezhong, Yang, Yongli, Lu, Jie, Hu, Fulan, Zhang, Ming, Zhang, Zhenzhong, Hu, Dongsheng, and Zhao, Yang

Subjects
RESEARCH, META-analysis, RESEARCH methodology, SELF-evaluation, CARDIOVASCULAR diseases, PHYSICAL fitness, EVALUATION research, COMPARATIVE studies, TUMORS, LONGITUDINAL method, HEALTH self-care
Abstract

Objective: Current evidence of the associations between cardiorespiratory fitness (CRF) and mortality is limited. We performed a meta-analysis to assess the dose-response association of CRF with mortality from all causes, cardiovascular disease (CVD) and cancer in healthy population.Methods: PubMed, EMBASE and Web of Science were searched up to 26 December 2019 for reports of cohort studies giving risk estimates for all-cause, CVD and cancer mortality by level of CRF. Cohort studies were included if CRF was assessed by an exercise stress test and reported as at least three levels or per incremental increase, and the association of CRF with all-cause, CVD and cancer mortality was evaluated. Generalised least-squares regression models were used to assess the quantitative relation of CRF with all-cause, CVD and cancer mortality.Results: 34 cohort studies were eligible for the meta-analysis. The pooled relative risks (RRs) for all-cause, CVD and cancer mortality per one-metabolic equivalent increase in CRF were 0.88 (95% CI 0.83 to 0.93), 0.87 (95% CI0.83 to 0.91) and 0.93 (95% CI 0.91 to 0.96), respectively. As compared with lowest CRF, with intermediate CRF, the summary RRs for all-cause, CVD and cancer mortality were 0.67 (95% CI 0.61 to 0.74), 0.60 (95% CI 0.51 to 0.69) and 0.76 (95% CI 0.69 to 0.84), respectively, and with highest CRF were 0.47 (95% CI 0.39 to 0.56), 0.49 (95% CI 0.42 to 0.56) and 0.57 (95% CI 0.46 to 0.70), respectively.Conclusion: Our analysis showed inverse dose-response associations of CRF with all-cause, CVD and cancer mortality, which provides evidence for public health recommendations for preventing all-cause, CVD and cancer mortality.Prospero Registration Number: CRD42020208883. [ABSTRACT FROM AUTHOR]

Published
2022
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48. BMI and risk of all-cause mortality in normotensive and hypertensive adults: the rural Chinese cohort study

Author

Zhou, Qionggui, primary, Liu, Xuejiao, additional, Zhao, Yang, additional, Qin, Pei, additional, Ren, Yongcheng, additional, Liu, Dechen, additional, Liu, Leilei, additional, Chen, Xu, additional, Liu, Feiyan, additional, Cheng, Cheng, additional, Guo, Chunmei, additional, Li, Quanman, additional, Tian, Gang, additional, Wu, Xiaoyan, additional, Qie, Ranran, additional, Han, Minghui, additional, Huang, Shengbing, additional, Xu, Lidan, additional, Zhang, Ming, additional, and Hu, Dongsheng, additional

Published
2021
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49. Fried-food consumption and risk of overweight/obesity, type 2 diabetes mellitus, and hypertension in adults: a meta-analysis of observational studies

Author

Qin, Pei, primary, Liu, Dechen, additional, Wu, Xiaoyan, additional, Zeng, Yunhong, additional, Sun, Xizhuo, additional, Zhang, Yanyan, additional, Li, Yang, additional, Wu, Yuying, additional, Han, Minghui, additional, Qie, Ranran, additional, Huang, Shengbing, additional, Zhao, Yang, additional, Feng, Yifei, additional, Yang, Xingjin, additional, Liu, Yu, additional, Li, Honghui, additional, Zhang, Ming, additional, Hu, Dongsheng, additional, and Hu, Fulan, additional

Published
2021
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