15 results on '"Zhao Jiajun"'
Search Results
2. Association of obesity under different metabolic status with adverse outcomes in patients with chronic myeloid leukemia: A retrospective cohort study.
- Author
-
Dong, Yingchun, Cheng, Yiping, Feng, Xiaoshan, Yuan, Zinuo, Dong, Hang, Zhang, Yue, Han, Junming, Wu, Yafei, Wang, Zhixiang, Zhong, Xia, Fan, Xiude, and Zhao, Jiajun
- Subjects
CHRONIC myeloid leukemia ,LOGISTIC regression analysis ,COHORT analysis ,TREATMENT effectiveness ,BODY mass index - Abstract
Copyright of Journal of Diabetes is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
- Full Text
- View/download PDF
3. Glycemic status and chronic kidney disease in Chinese adults: Findings from the REACTION study†
- Author
-
Lin, Lin, Lu, Jieli, Chen, Lulu, Mu, Yiming, Ye, Zhen, Liu, Chao, Chen, Gang, Shi, Lixin, Zhao, Jiajun, Li, Qiang, Yang, Tao, Yan, Li, Wan, Qin, Wu, Shengli, Liu, Yan, Wang, Guixia, Luo, Zuojie, Tang, Xulei, Huo, Yanan, Gao, Zhengnan, Su, Qing, Wang, Youmin, Qin, Guijun, Deng, Huacong, Yu, Xuefeng, Shen, Feixia, Chen, Li, Zhao, Liebin, Xu, Yu, Xu, Min, Peng, Kui, Du, Rui, Dai, Meng, Li, Mian, Wang, Tiange, Zhao, Zhiyun, Lai, Shenghan, Li, Donghui, Bi, Yufang, Wang, Weiqing, and Ning, Guang
- Published
- 2017
- Full Text
- View/download PDF
4. Pregnancy outcomes in women with type 1 diabetes in China during 2004 to 2014: A retrospective study (the CARNATION Study)
- Author
-
Luo, Sihui, primary, Ran, Xingwu, additional, Zhang, Mei, additional, Hu, Ji, additional, Yang, Daizhi, additional, Zhu, Dalong, additional, Zhao, Jiajun, additional, Xiao, Xinhua, additional, Guo, Xiaohui, additional, Yang, Tao, additional, Huang, Qin, additional, Liu, Fang, additional, Jing, Lu, additional, Ma, Jing, additional, Zhou, Xinli, additional, Ping, Fan, additional, Gu, Nan, additional, Li, Wenwen, additional, Yang, Yaling, additional, Fang, Chen, additional, Bao, Wei, additional, Zheng, Xueying, additional, Yan, Jinhua, additional, Zhou, Zhiguang, additional, and Weng, Jianping, additional
- Published
- 2021
- Full Text
- View/download PDF
5. Gestational hyperglycemia and the risk of cardiovascular diseases among elderly Chinese women: Findings from the REACTION study
- Author
-
Hu, Chunyan, primary, Zhang, Yi, additional, Lin, Lin, additional, Wang, Shuangyuan, additional, Du, Rui, additional, Zhang, Jie, additional, Qi, Hongyan, additional, Li, Mian, additional, Zhu, Yuanyue, additional, Huo, Yanan, additional, Wan, Qin, additional, Qin, Yingfen, additional, Hu, Ruying, additional, Shi, Lixin, additional, Su, Qing, additional, Yu, Xuefeng, additional, Yan, Li, additional, Qin, Guijun, additional, Tang, Xulei, additional, Chen, Gang, additional, Xu, Min, additional, Xu, Yu, additional, Wang, Tiange, additional, Zhao, Zhiyun, additional, Gao, Zhengnan, additional, Wang, Guixia, additional, Shen, Feixia, additional, Luo, Zuojie, additional, Chen, Li, additional, Li, Qiang, additional, Ye, Zhen, additional, Zhang, Yinfei, additional, Liu, Chao, additional, Wang, Youmin, additional, Wu, Shengli, additional, Yang, Tao, additional, Deng, Huacong, additional, Chen, Lulu, additional, Zeng, Tianshu, additional, Zhao, Jiajun, additional, Mu, Yiming, additional, Bi, Yufang, additional, Wang, Weiqing, additional, Chen, Yuhong, additional, Lu, Jieli, additional, and Ning, Guang, additional
- Published
- 2021
- Full Text
- View/download PDF
6. The association between age at diagnosis of type 2 diabetes and albuminuria in Chinese adults: A nationwide population study
- Author
-
Wu, Shujing, primary, Zhao, Zhiyun, additional, Liu, Shanshan, additional, Li, Mian, additional, Wang, Tiange, additional, Wang, Shuangyuan, additional, Xu, Min, additional, Chen, Yuhong, additional, Dai, Meng, additional, Zhang, Di, additional, Yu, Xuefeng, additional, Tang, Xulei, additional, Hu, Ruying, additional, Ye, Zhen, additional, Shi, Lixin, additional, Su, Qing, additional, Yan, Li, additional, Qin, Guijun, additional, Wan, Qin, additional, Chen, Gang, additional, Gao, Zhengnan, additional, Wang, Guixia, additional, Shen, Feixia, additional, Luo, Zuojie, additional, Qin, Yingfen, additional, Chen, Li, additional, Huo, Yanan, additional, Li, Qiang, additional, Zhang, Yinfei, additional, Liu, Chao, additional, Wang, Youmin, additional, Wu, Shengli, additional, Yang, Tao, additional, Deng, Huacong, additional, Chen, Lulu, additional, Zhao, Jiajun, additional, Mu, Yiming, additional, Xu, Yiping, additional, Bi, Yufang, additional, Lu, Jieli, additional, Xu, Yu, additional, Wang, Weiqing, additional, and Ning, Guang, additional
- Published
- 2021
- Full Text
- View/download PDF
7. Cohort profile: Risk evaluation of cancers in Chinese diabetic individuals: a longitudinal (REACTION) study
- Author
-
Bi, Yufang, Lu, Jieli, Wang, Weiqing, Mu, Yiming, Zhao, Jiajun, Liu, Chao, Chen, Lulu, Shi, Lixin, Li, Qiang, Wan, Qin, Wu, Shengli, Yang, Tao, Yan, Li, Liu, Yan, Wang, Guixia, Luo, Zuojie, Tang, Xulei, Chen, Gang, Huo, Yanan, Gao, Zhengnan, Su, Qing, Ye, Zhen, Wang, Youming, Qin, Guijun, Deng, Huacong, Yu, Xuefeng, Shen, Feixia, Chen, Li, Zhao, Liebin, Zhang, Jie, Sun, Jichao, Dai, Meng, Xu, Min, Xu, Yu, Chen, Yuhong, Lai, Shenghan, Bloomgarden, Zachary T., Li, Donghui, and Ning, Guang
- Published
- 2014
- Full Text
- View/download PDF
8. Pregnancy outcomes in women with type 1 diabetes in China during 2004 to 2014: A retrospective study (the CARNATION Study).
- Author
-
Luo, Sihui, Ran, Xingwu, Zhang, Mei, Hu, Ji, Yang, Daizhi, Zhu, Dalong, Zhao, Jiajun, Xiao, Xinhua, Guo, Xiaohui, Yang, Tao, Huang, Qin, Liu, Fang, Jing, Lu, Ma, Jing, Zhou, Xinli, Ping, Fan, Gu, Nan, Li, Wenwen, Yang, Yaling, and Fang, Chen
- Subjects
PREGNANCY outcomes ,TYPE 1 diabetes ,MISCARRIAGE ,NEONATAL death ,CARNATIONS - Abstract
Copyright of Journal of Diabetes is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2022
- Full Text
- View/download PDF
9. Observational study evaluating the effectiveness of physician‐targeted education for improving glycemic management of patients with type 2 diabetes (BEYOND II)
- Author
-
Weng, Jianping, primary, Zhao, Jiajun, additional, Zhou, Zhiguang, additional, Guo, Xiaohui, additional, Zou, Dajin, additional, Ji, Qiuhe, additional, Tong, Nanwei, additional, Li, Qifu, additional, Zhu, Jun, additional, Li, Qiang, additional, Qin, Guijun, additional, Feng, Ping, additional, Yang, Liyong, additional, Gao, Zhengnan, additional, Chen, Lulu, additional, Li, Hong, additional, Li, Yiming, additional, Zeng, Longyi, additional, Zhu, Dalong, additional, Lu, Juming, additional, Luo, Tianhong, additional, and Cui, Nan, additional
- Published
- 2019
- Full Text
- View/download PDF
10. Observational study evaluating the effectiveness of physician‐targeted education for improving glycemic management of patients with type 2 diabetes (BEYOND II).
- Author
-
Weng, Jianping, Zhao, Jiajun, Zhou, Zhiguang, Guo, Xiaohui, Zou, Dajin, Ji, Qiuhe, Tong, Nanwei, Li, Qifu, Zhu, Jun, Li, Qiang, Qin, Guijun, Feng, Ping, Yang, Liyong, Gao, Zhengnan, Chen, Lulu, Li, Hong, Li, Yiming, Zeng, Longyi, Zhu, Dalong, and Lu, Juming
- Subjects
- *
TYPE 2 diabetes , *HOSPITAL administration , *SCIENTIFIC observation - Abstract
Background: Because there has been no quality improvement initiatives targeting patients with type 2 diabetes (T2D) receiving basal insulin therapy, this study evaluated the effectiveness of physician‐targeted education for optimizing glycemic management in these patients in China. Methods: This multicenter open‐label observational study conducted across China had a baseline sample survey, followed by a 6‐month education program, and ended with a post‐education sample survey. Education based on T2D treatment guidelines was given at Months 1 and 3, and was reinforced by self‐audit every month. Each hospital enrolled 100 patients with T2D receiving basal insulin at both the baseline and post‐education survey. The primary outcome was the proportion of hospitals meeting individual improvement goals. The goal setting was based on the proportion of patients achieving HbA1c <7.0% in each hospital at the time of the baseline survey. Results: Overall, the individual improvement goal was achieved by 35 centers (49%). Hospitals with poor glycemic management at the baseline survey had higher possibility to improve at post‐education survey. Two large sample surveys at baseline and post‐education showed improved glucose management among these hospitals. A higher proportion of patients achieved HbA1c <7.0% in the post‐education survey (27.2% vs 36.5%; P < 0.001) with reduced HbA1c levels (8.10% vs 7.72%; P < 0.001). Questionnaires from 723 physicians showed that confidence and practice of basal insulin use were significantly improved. Conclusions: Physician‐targeted education improved glycemic management of patients with T2D in 71 hospitals in China, and was more effective at hospitals with poor glycemic management at the baseline survey. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
11. Multifactorial Intervention on Type 2 Diabetes (MIDiab) Study: A multicenter, open‐label, randomized, parallel controlled, community trial.
- Author
-
Wang, Yupeng, Guan, Qingbo, Hou, Xu, Zhang, Xu, Zhang, Haiqing, Xu, Chao, Jing, Fei, Ma, Shizhan, Shao, Shanshan, Zhao, Meng, Guo, Qingling, Zhong, Fang, Gao, Ling, and Zhao, Jiajun
- Subjects
TYPE 2 diabetes ,CLUSTER randomized controlled trials ,MEDICAL personnel ,CAROTID intima-media thickness ,DIABETIC angiopathies ,CARDIOVASCULAR diseases - Published
- 2020
- Full Text
- View/download PDF
12. Associations between parity, pregnancy loss, and breastfeeding duration and risk of maternal type 2 diabetes: An observational cohort study.
- Author
-
Huo Y, Cheng L, Wang C, Deng Y, Hu R, Shi L, Wan Q, Chen L, Zeng T, Yu X, Tang X, Yan L, Qin G, Chen G, Gao Z, Wang G, Shen F, Luo Z, Qin Y, Chen L, Li Q, Ye Z, Zhang Y, Bi Y, Lu J, Li M, Xu M, Xu Y, Wang T, Zhao Z, Chen Y, Qi H, Zhu Y, Hu C, Su Q, Liu C, Wang Y, Wu S, Yang T, Deng H, Zhao J, Mu Y, Ning G, Wang W, and Lin A
- Subjects
- Case-Control Studies, Female, Follow-Up Studies, Humans, Longitudinal Studies, Middle Aged, Pregnancy, Prognosis, Risk Factors, Time Factors, Abortion, Spontaneous, Breast Feeding, Diabetes Mellitus, Type 2 epidemiology, Diabetes, Gestational epidemiology, Parity
- Abstract
Background: Parity, pregnancy loss, and breastfeeding duration were found to be associated with diabetes. However, the results are inconsistent. Also, no epidemiological studies have examined the association of these reproductive factors with diabetes in the same large population. We aim to investigate the associations between parity, pregnancy loss, breastfeeding duration, and the risk of maternal diabetes in middle-aged and elderly Chinese females., Methods: We included 131 174 females aged ≥40 years from the REACTION study (Risk Evaluation of Cancers in Chinese Diabetic Individuals: A Longitudinal Study). Multivariable linear regression and logistic regression were used to assess the association between parity, pregnancy loss, and breastfeeding duration and type 2 diabetes., Results: The number of parities and breastfeeding duration were positively related to fasting plasma glucose, 2-hour postload glucose, glycosylated hemoglobin, and homeostatic model assessment of insulin resistance. Compared with those with one birth, nulliparous women or women with 2 or ≥3 births had a significantly increased risk of diabetes. The odds ratios (OR) and 95% confidence intervals (CI) were 1.27 (1.10-1.48), 1.17 (1.12-1.22), and 1.28 (1.21-1.35), respectively. Compared with women without pregnancy loss, those who underwent 2 (OR 1.09; 95% CI, 1.04-1.14) or ≥3 pregnancy losses (OR 1.11; 95% CI, 1.04-1.18) had an increased risk of diabetes. Moreover, women with a breastfeeding duration ≥0 to 6 months (OR 0.82; 95% CI, 0.75-0.90) and ≥6 to 12 months (OR 0.94; 95% CI, 0.89-0.99) had a significantly lower risk of diabetes., Conclusions: Nulliparous women or women with multiparity or more than one pregnancy loss have an increased risk of diabetes in later life, while women who breastfeed more than 0 to 12 months have a lower risk of diabetes., (© 2021 Ruijin Hospital, Shanghai JiaoTong University School of Medicine and John Wiley & Sons Australia, Ltd.)
- Published
- 2021
- Full Text
- View/download PDF
13. Age at menarche, ideal cardiovascular health metrics, and risk of diabetes in adulthood: Findings from the REACTION study.
- Author
-
Hu C, Zhang Y, Zhang J, Huo Y, Wan Q, Li M, Qi H, Du R, Zhu Y, Qin Y, Hu R, Shi L, Su Q, Yu X, Yan L, Qin G, Tang X, Chen G, Xu M, Wang T, Zhao Z, Chen Y, Gao Z, Wang G, Shen F, Luo Z, Chen L, Li Q, Ye Z, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Chen L, Zhao J, Mu Y, Wang W, Xu Y, Bi Y, Lu J, and Ning G
- Subjects
- Adolescent, Adult, Age Factors, Aged, Cardiovascular Diseases diagnosis, Cardiovascular Diseases prevention & control, China epidemiology, Diabetes Mellitus, Type 2 diagnosis, Diabetes Mellitus, Type 2 prevention & control, Female, Healthy Lifestyle, Humans, Middle Aged, Prognosis, Prospective Studies, Risk Assessment, Risk Factors, Risk Reduction Behavior, Sex Factors, Time Factors, Cardiovascular Diseases epidemiology, Diabetes Mellitus, Type 2 epidemiology, Health Status, Menarche
- Abstract
Background: Age at menarche was reported to be associated with the risk of diabetes. However, the impact of ideal cardiovascular health metrics (ICVHMs) on the association between age at menarche and adulthood diabetes risk was unclear., Methods: We included 121 431 women from the nationwide, population-based cohort of the REACTION study (Risk Evaluation of Cancers in Chinese Diabetic Individuals: a Longitudinal Study). The diagnosis of diabetes was based on the oral glucose tolerance test (OGTT) and glycosylated hemoglobin (HbA1c) measurement. Logistic regression and multiplicative interaction analysis were conducted to investigate the potential interaction effect between age at menarche and ICVHMs on the development of diabetes., Results: The multivariable-adjusted odds ratios of diabetes across categories of age at menarche (<14, 14-17, and > 17 years) were 1.22 (95% confidence interval [CI]: 1.17, 1.28), 1.00 (reference), and 0.89 (95% CI: 0.85, 0.93), respectively. In subgroup analysis, significant interactions were detected between total cholesterol/blood pressure levels and age at menarche regarding the risk of diabetes (P for interaction = .0091 and .0019, respectively). The increased risk associated with age at menarche <14 years was observed in participants with three or fewer ICVHMs, but not in women with four or more ICVHMs (P for interaction = .0001)., Conclusions: Age at menarche was inversely associated with the risk of diabetes in adulthood in Chinese women, and it appeared to be modified by the presence of ICVHMs. Further studies are needed to clarify the precise interrelationship and the generalizability of our results., (© 2020 Ruijin Hospital, Shanghai JiaoTong University School of Medicine and John Wiley & Sons Australia, Ltd.)
- Published
- 2021
- Full Text
- View/download PDF
14. Association between birth weight and diabetes: Role of body mass index and lifestyle in later life.
- Author
-
Hu C, Mu Y, Wan Q, Qin Y, Hu R, Shi L, Su Q, Yu X, Yan L, Qin G, Tang X, Chen G, Gao Z, Wang G, Shen F, Luo Z, Chen L, Huo Y, Li Q, Ye Z, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Chen L, Zhao J, Lu J, Lin L, Li M, Du R, Xu M, Xu Y, Wang T, Zhao Z, Chen Y, Li D, Bi Y, Wang W, and Ning G
- Subjects
- Aged, Asian People statistics & numerical data, China epidemiology, Cohort Studies, Diabetes Mellitus, Type 2 blood, Diabetes Mellitus, Type 2 ethnology, Female, Glucose Tolerance Test, Glycated Hemoglobin analysis, Humans, Logistic Models, Male, Middle Aged, Risk Assessment methods, Risk Assessment statistics & numerical data, Risk Factors, Birth Weight, Body Mass Index, Diabetes Mellitus, Type 2 diagnosis, Feeding Behavior, Life Style
- Abstract
Background: This study investigated the association between birth weight and diabetes in a Chinese population, and the effects of body mass index (BMI) and lifestyle factors in later life on this association., Methods: Data from 49 118 participants aged ≥40 years with recalled birth weight from the Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal (REACTION) study, a nationwide population-based cohort, were used. Diabetes diagnosis was based on oral glucose tolerance tests and HbA1c measurements. Logistic regression models were used to evaluate the association of birth weight and risk of diabetes in later life., Results: Increased risk of diabetes was associated with lower or higher birth weight. Compared with individuals with a birth weight of 2500 to 3499 g, the odds ratios (ORs) and 95% confidence intervals (CIs) of diabetes for individuals with a birth weight of <2500, between 3500 and 3999, and ≥4000 g were 1.28 (1.11-1.47), 1.11 (1.04-1.19), and 1.20 (1.07-1.34), respectively. Significant associations were prominent in participants with a current BMI ≥24 kg/m
2 , but not detected in those with a normal BMI (OR 1.20 [95% CI 0.96-1.49], 1.11 [95% CI 0.98-1.25], and 1.10 [95% CI 0.89-1.37], respectively). Moreover, there was no increased risk of diabetes in individuals with a low birth weight but with healthy dietary habits (OR 0.94; 95% CI 0.68-1.29) or ideal physical activity (OR 1.41; 95% CI 0.97-2.04)., Conclusions: A U-shaped association was observed between birth weight and the risk of diabetes. Healthy lifestyles (healthy dietary habits or ideal physical activity) may eliminate the negative effects of low birth weight in the development of diabetes, but not the effect of high birth weight., (© 2019 Ruijin Hospital, Shanghai Jiaotong University School of Medicine and John Wiley & Sons Australia, Ltd.)- Published
- 2020
- Full Text
- View/download PDF
15. Association between smoking and glycemic control in diabetic patients: Results from the Risk Evaluation of cAncers in Chinese diabeTic Individuals: A lONgitudinal (REACTION) study.
- Author
-
Peng K, Chen G, Liu C, Mu Y, Ye Z, Shi L, Zhao J, Chen L, Li Q, Yang T, Yan L, Wan Q, Wu S, Wang G, Luo Z, Tang X, Huo Y, Gao Z, Su Q, Wang Y, Qin G, Deng H, Yu X, Shen F, Chen L, Zhao L, Xu Y, Xu M, Chen Y, Lu J, Lin L, Du R, Dai M, Li M, Wang T, Zhao Z, Zhang D, Bi Y, Li D, Wang W, and Ning G
- Subjects
- Adult, Aged, Biomarkers blood, Blood Glucose metabolism, Chi-Square Distribution, China epidemiology, Cross-Sectional Studies, Diabetes Mellitus, Type 2 blood, Diabetes Mellitus, Type 2 diagnosis, Diabetes Mellitus, Type 2 epidemiology, Female, Glycated Hemoglobin metabolism, Humans, Incidence, Logistic Models, Longitudinal Studies, Male, Middle Aged, Multivariate Analysis, Odds Ratio, Prevalence, Risk Factors, Smoking blood, Smoking epidemiology, Time Factors, Blood Glucose drug effects, Diabetes Mellitus, Type 2 drug therapy, Hypoglycemic Agents therapeutic use, Smoking adverse effects, Smoking Cessation
- Abstract
Background: A number of primary studies suggested that active smoking could be independently associated with incident diabetes. However less is known about the effect of active smoking and smoking cessation on glycemic control in patients with diabetes. The aim of this study was to evaluate the associations of active smoking and smoking cessation with glycemic control in diabetic patients., Methods: The present was a cross-sectional study of 10 551 men and 15 297 women with diabetes from the Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal (REACTION) study. Risk factors for glycemic control and the association of active smoking with glycemic control were evaluated using logistic regression models. Poor glycemic control was defined as HbA1c ≥7.0%., Results: Current smokers have an increased risk of poor glycemic control, and the multivariable-adjusted odds ratio (OR) and 95% confidence intervals (CI) of HbA1c ≥7.0% with current smoking were 1.49 (1.35-1.66) in men and 1.56 (1.13-2.15) in women. Further analysis demonstrated a dose-dependent relationship between active smoking and the risk of poor glycemic control in men. Former smokers who quit smoking for <10 years remained at increased risk of poor glycemic control, with the risk leveling off after 10 years of smoking cessation compared with non-smokers, but risk in former smokers was significantly lower than that in current smokers., Conclusions: Active smoking is a modifiable risk factor for poor glycemic control in Chinese diabetic patients., (© 2017 Ruijin Hospital, Shanghai Jiaotong University School of Medicine and John Wiley & Sons Australia, Ltd.)
- Published
- 2018
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.