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Zhang X, Wang Y, Li Y, Gui J, Mei Y, Yang X, Liu H, Guo LL, Li J, Lei Y, Li X, Sun L, Yang L, Yuan T, Wang C, Zhang D, Li J, Liu M, Hua Y, Zhang L. Optimal obesity- and lipid-related indices for predicting type 2 diabetes in middle-aged and elderly Chinese. Sci Rep 2024; 14:10901. [PMID: 38740846 DOI: 10.1038/s41598-024-61592-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 05/07/2024] [Indexed: 05/16/2024] Open
Abstract
To investigate the screening and predicting functions of obesity- and lipid-related indices for type 2 diabetes (T2D) in middle-aged and elderly Chinese, as well as the ideal predicted cut-off value. This study's data comes from the 2011 China Health and Retirement Longitudinal Study (CHARLS). A cross-sectional study design was used to investigate the relationship of T2D and 13 obesity- and lipid-related indices, including body mass index (BMI), waist circumference (WC), waist-height ratio (WHtR), visceral adiposity index (VAI), a body shape index (ABSI), body roundness index (BRI), lipid accumulation product (LAP), conicity index (CI), Chinese visceral adiposity index (CVAI), triglyceride- glucose index (TyG index) and its correlation index (TyG-BMI, TyG-WC, TyG-WHtR). The unadjusted and adjusted correlations between 13 indices and T2D were assessed using binary logistic regression analysis. The receiver operating characteristic curve (ROC) was used to determine the usefulness of anthropometric indices for screening for T2D and determining their cut‑off value, sensitivity, specificity, and area under the curve (AUC). The study comprised 9488 people aged 45 years or above in total, of whom 4354 (45.89%) were males and 5134 (54.11%) were females. Among them were 716 male cases of T2D (16.44%) and 870 female cases of T2D (16.95%). A total of 13 obesity- and lipid-related indices were independently associated with T2D risk after adjusted for confounding factors (P < 0.05). According to ROC analysis, the TyG index was the best predictor of T2D among males (AUC = 0.780, 95% CI 0.761, 0.799) and females (AUC = 0.782, 95% CI 0.764, 0.799). The AUC values of the 13 indicators were higher than 0.5, indicating that they have predictive values for T2D in middle-aged and elderly Chinese. The 13 obesity- and lipid-related indices can predict the risk of T2D in middle‑aged and elderly Chinese. Among 13 indicators, the TyG index is the best predictor of T2D in both males and females. TyG-WC, TyG-BMI, TyG-WHtR, LAP, and CVAI all outperformed BMI, WC, and WHtR in predicting T2D.
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Affiliation(s)
- Xiaoyun Zhang
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Ying Wang
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Yuqing Li
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Jiaofeng Gui
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Yujin Mei
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Xue Yang
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Haiyang Liu
- Student Health Center, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Lei-Lei Guo
- Department of Surgical Nursing, School of Nursing, Jinzhou Medical University, No. 40, Section 3, Songpo Road, Linghe District, Jinzhou City, Liaoning Province, People's Republic of China
| | - Jinlong Li
- Department of Occupational and Environmental Health, Key Laboratory of Occupational Health and Safety for Coal Industry in Hebei Province, School of Public Health, North China University of Science and Technology, Tangshan, Hebei Province, People's Republic of China
| | - Yunxiao Lei
- Obstetrics and Gynecology Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Xiaoping Li
- Department of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Lu Sun
- Department of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Liu Yang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Ting Yuan
- Obstetrics and Gynecology Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Congzhi Wang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Dongmei Zhang
- Department of Pediatric Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Jing Li
- Department of Surgical Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Mingming Liu
- Department of Surgical Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Ying Hua
- Rehabilitation Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Lin Zhang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China.
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Jin C, Lai Y, Li Y, Teng D, Yang W, Teng W, Shan Z. Changes in the prevalence of diabetes and control of risk factors for diabetes among Chinese adults from 2007 to 2017: An analysis of repeated national cross-sectional surveys. J Diabetes 2024; 16:e13492. [PMID: 37927176 PMCID: PMC10859318 DOI: 10.1111/1753-0407.13492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 09/13/2023] [Accepted: 10/16/2023] [Indexed: 11/07/2023] Open
Abstract
INTRODUCTION To examine changes in the prevalence of diabetes and the control of risk factors for diabetes over 10 years among adults in China. METHODS Two population-based cross-sectional surveys were used to obtain a nationally representative sample of adults aged 20 years and older in mainland China in 2007 (n = 46 239) and 2017 (n = 73 340). Changes in the prevalence of diabetes, impaired fasting glucose, impaired glucose tolerance, and prediabetes, as diagnosed by the World Health Organization criteria, were assessed over time. RESULTS The weighted prevalence of diagnosed diabetes (3.8% vs 6.3%, p = .0001) and total diabetes (9.7% vs 11.7%, p = .005) increased among the overall population between 2007 and 2017. The weighted prevalence of undiagnosed diabetes (5.9% vs 5.4%, p = .7), impaired fasting glucose (2.7% vs 2.6%, p = .68), impaired glucose tolerance (12.7% vs 12.5%, p = .95), prediabetes (15.4% vs 15.1%, p = .79), the treatment of diabetes (34.1% vs 32.5%, p = .44), and the control of diabetes (31.1% vs 32.8%, p = .73) did not significantly change over this period. The awareness of diabetes (39.4% vs 53.6%, p = .0004) increased over 10 years among the overall population. The proportion of achieved high-density lipoprotein cholesterol targets increased (p = .005), but the proportion of achieved body mass index (p = .01) and waist circumference (p = .0002) targets decreased significantly. CONCLUSIONS Between 2007 and 2017, the prevalence of total diabetes (diagnosed by the World Health Organization criteria), especially diagnosed diabetes, increased among adults in China. Although awareness of diabetes improved, effective interventions and clinical strategies are urgently required.
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Affiliation(s)
- Chenye Jin
- Department of Rheumatology and ImmunologyFirst Hospital of China Medical UniversityShenyangChina
| | - Yaxin Lai
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid DiseasesFirst Hospital of China Medical UniversityShenyangChina
| | - Yongze Li
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid DiseasesFirst Hospital of China Medical UniversityShenyangChina
| | - Di Teng
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid DiseasesFirst Hospital of China Medical UniversityShenyangChina
| | - Wenying Yang
- Department of EndocrinologyChina‐Japan Friendship HospitalBeijingChina
| | - Weiping Teng
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid DiseasesFirst Hospital of China Medical UniversityShenyangChina
| | - Zhongyan Shan
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid DiseasesFirst Hospital of China Medical UniversityShenyangChina
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Shi C, Shi H, Chen C, Liu Y, Lv Y, Zhang H, Liang P. Trends of hospitalisation for patients with liver cirrhosis in Ningxia, China: a cross-sectional study. BMJ Open 2023; 13:e068655. [PMID: 37607786 PMCID: PMC10445391 DOI: 10.1136/bmjopen-2022-068655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 06/08/2023] [Indexed: 08/24/2023] Open
Abstract
OBJECTIVE To evaluate the changing trends of hospitalisation for patients with liver cirrhosis between 2015 and 2019 by using hospitalisation summary records in Ningxia Hui Autonomous Region (NHAR), China. DESIGN A cross-sectional study. SETTING Hospitalisation summary records between 1 January 2015 and 31 December 2019 from 28 top-ranking hospitals in NHAR were extracted and rigorously analysed. PARTICIPANTS During the study period, hospitalisation records referring to liver cirrhosis were included. Records with missing data were excluded. A total of 16 566 patients with liver cirrhosis were included in this study. OUTCOME MEASURES International Classification of Diseases codes, tenth version (ICD-10) and text-diagnoses were used to identify hospitalisation records referring to liver cirrhosis. RESULTS Between 2015 and 2019, hospitalisation rates for liver cirrhosis declined from 8.38% to 5.57%. Chronic viral hepatitis accounted for almost 70% of all liver cirrhosis admissions; the remaining 30% of patients were admitted due to non-viral hepatitis cirrhosis (28.06%) and alcoholic cirrhosis (2.05%). The male-to-female hospitalisation rate ratio for liver cirrhosis was 2.57. The hospitalisation rate for workers with hepatitis cirrhosis was significantly higher than farmers (hospitalisation rate ratio (RR)=1.06, 95% CI 1.01 to 1.15, p<0.001); this was also the case for alcoholic cirrhosis (RR=5.23, 95% CI 3.34 to 8.20). However, the hospitalisation rate for workers with non-viral hepatitis cirrhosis was significantly lower than for farmers (RR=5.23, 95% CI 3.34 to 8.20, p<0.001). The hospitalisation rate increased in patients over the age of 30 years and reached a peak at the age of 45-50 years. CONCLUSIONS The hospitalisation rate for liver cirrhosis has declined over recent years and chronic viral hepatitis remains the major cause of liver cirrhosis in NHAR. Hospitalisation summary records can efficiently reflect the local changing trends of hospitalisation for liver cirrhosis and represent an efficient strategy for the surveillance of chronic disease.
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Affiliation(s)
- Chao Shi
- Central Laboratory, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
- Central Laboratory, Ningxia Medical University Affiliated People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Hongjuan Shi
- School of Public Health, Ningxia Medical University, Yinchuan, China
| | - Chen Chen
- Central Laboratory, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
- Central Laboratory, Ningxia Medical University Affiliated People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Yining Liu
- Central Laboratory, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
- Central Laboratory, Ningxia Medical University Affiliated People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Yongtao Lv
- Central Laboratory, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
- Central Laboratory, Ningxia Medical University Affiliated People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Hua Zhang
- Central Laboratory, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
- Central Laboratory, Ningxia Medical University Affiliated People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Peifeng Liang
- Central Laboratory, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
- Central Laboratory, Ningxia Medical University Affiliated People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
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Wu J, Yang R, Yu H, Qin X, Wu T, Wu Y, Hu Y. Association of Metformin Use with Iron Deficiency Anemia in Urban Chinese Patients with Type 2 Diabetes. Nutrients 2023; 15:3081. [PMID: 37513498 PMCID: PMC10385822 DOI: 10.3390/nu15143081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 07/04/2023] [Accepted: 07/06/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND Previous evidence yielded contradictory findings on the relationship between metformin and anemia. This study aims to assess whether metformin use is associated with iron-deficiency anemia (IDA) risk in patients with type 2 diabetes (T2D) in Beijing, China. METHODS Overall, 60,327 newly diagnosed T2D patients were included based on a historical cohort study design. The information pertaining to these patients was gathered from the Beijing Medical Claim Data for Employees Database. These patients were then categorized into the metformin and non-metformin groups and matched on a 1:1 propensity score based on their initial antidiabetic prescription. The Cox proportional hazards models were utilized to calculate the incidences and the hazard ratios (HRs). RESULTS The study enrolled 27,960 patients with type 2 diabetes, with 13,980 patients in each of the initial glucose-lowering prescription groups: metformin and non-metformin. During a median follow-up period of 4.84 years, 4832 patients developed IDA. The incidence of IDA was significantly lower in the metformin group (26.08/1000 person-years) than in the non-metformin group (43.20/1000 person-years). Among the three groups divided by the proportion of days covered by metformin, we found a negative correlation between the proportion of days covered by metformin and the risk of IDA. The risk of IDA in patients with a proportion of days covered by metformin of <20%, 20-79%, and ≥80% was 0.43 (0.38, 0.48), 0.37 (0.34, 0.42), and 0.91 (0.85, 0.98), respectively, compared to the non-metformin group. We also performed subgroup analyses and sensitivity analyses: the incidence of IDA in the metformin group was lower than that in the non-metformin group in all subgroups, and the protective effect was more significant in subgroups of patients aged ≥65, with Charlson comorbidity index (CCI) ≥2, and with gastric acid inhibitor use. CONCLUSIONS In Chinese patients with T2DM, metformin treatment was associated with a decreased risk of IDA admission, and this risk responded positively to the proportion of days covered by metformin. These findings suggest that metformin may have a pleiotropic effect on IDA in patients with type 2 diabetes. Our study has important clinical implications for the management of patients with diabetes and other conditions that increase the risk of IDA.
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Affiliation(s)
- Junhui Wu
- School of Nursing, Peking University, Beijing 100191, China
| | - Ruotong Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Huan Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Xueying Qin
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing 100191, China
| | - Tao Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing 100191, China
| | - Yiqun Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing 100191, China
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing 100191, China
- Medical Informatics Center, Peking University, Beijing 100191, China
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Lu Z, Zhang H, Yang Y, Zhao H. Sex differences of the shared genetic landscapes between type 2 diabetes and peripheral artery disease in East Asians and Europeans. Hum Genet 2023:10.1007/s00439-023-02573-x. [PMID: 37341850 DOI: 10.1007/s00439-023-02573-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 05/12/2023] [Indexed: 06/22/2023]
Abstract
Type 2 diabetes (T2D) is a critical risk factor for peripheral artery disease (PAD). However, the sex differences in genetic basis, causality, and underlying mechanisms of the two diseases are still unclear. Using sex-stratified and ethnic-based GWAS summary, we explored the genetic correlation and causal relationship between T2D and PAD in both ethnicities and sexes by linkage disequilibrium score regression, LAVA and six Mendelian Randomization approaches. We observed stronger genetic correlations between T2D and PAD in females than males in East Asians and Europeans. East Asian females exhibit higher causal effects of T2D on PAD than males. The gene-level analysis found KCNJ11 and ANK1 genes associated with the cross-trait of T2D and PAD in both sexes. Our study provides genetic evidence for the sex difference of genetic correlations and causal relationships between PAD and T2D, indicating the importance of using sex-specific strategies for monitoring PAD in T2D patients.
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Affiliation(s)
- Zhiya Lu
- Department of Medical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou, China
| | - Haoyang Zhang
- School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China
| | - Yuanhao Yang
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Huiying Zhao
- Department of Medical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou, China.
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Chang J, Deng Q, Hu P, Guo M, Lu F, Su Y, Sun J, Qi Y, Long Y, Liu J. Geographic Variation in Mortality of Acute Myocardial Infarction and Association With Health Care Accessibility in Beijing, 2007 to 2018. J Am Heart Assoc 2023; 12:e029769. [PMID: 37301748 PMCID: PMC10356049 DOI: 10.1161/jaha.123.029769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 05/01/2023] [Indexed: 06/12/2023]
Abstract
Background Little is known about geographic variation in acute myocardial infarction (AMI) mortality within fast-developing megacities and whether changes in health care accessibility correspond to changes in AMI mortality at the small-area level. Methods and Results We included data of 94 106 AMI deaths during 2007 to 2018 from the Beijing Cardiovascular Disease Surveillance System in this ecological study. We estimated AMI mortality for 307 townships during consecutive 3-year periods with a Bayesian spatial model. Township-level health care accessibility was measured using an enhanced 2-step floating catchment area method. Linear regression models were used to examine the association between health care accessibility and AMI mortality. During 2007 to 2018, median AMI mortality in townships declined from 86.3 (95% CI, 34.2-173.8) to 49.4 (95% CI, 30.5-73.7) per 100 000 population. The decrease in AMI mortality was larger in townships where health care accessibility increased more rapidly. Geographic inequality, defined as the ratio of the 90th to 10th percentile of mortality in townships, increased from 3.4 to 3.8. In total, 86.3% (265/307) of townships had an increase in health care accessibility. Each 10% increase in health care accessibility was associated with a -0.71% (95% CI, -1.08% to -0.33%) change in AMI mortality. Conclusions Geographic disparities in AMI mortality among Beijing townships are large and increasing. A relative increase in township-level health care accessibility is associated with a relative decrease in AMI mortality. Targeted improvement of health care accessibility in areas with high AMI mortality may help reduce AMI burden and improve its geographic inequality in megacities.
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Affiliation(s)
- Jie Chang
- Center for Clinical and Epidemiologic ResearchBeijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing Municipal Key Laboratory of Clinical EpidemiologyBeijingChina
| | - Qiuju Deng
- Center for Clinical and Epidemiologic ResearchBeijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing Municipal Key Laboratory of Clinical EpidemiologyBeijingChina
| | - Piaopiao Hu
- Center for Clinical and Epidemiologic ResearchBeijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing Municipal Key Laboratory of Clinical EpidemiologyBeijingChina
| | - Moning Guo
- Beijing Municipal Health Big Data and Policy Research CenterBeijing Institute of Hospital ManagementBeijingChina
| | - Feng Lu
- Beijing Municipal Health Big Data and Policy Research CenterBeijing Institute of Hospital ManagementBeijingChina
| | - Yuwei Su
- School of Urban DesignWuhan UniversityWuhanChina
- School of Architecture and Hang Lung Center for Real Estate, Key Laboratory of Eco Planning & Green Building, Ministry of EducationTsinghua UniversityBeijingChina
| | - Jiayi Sun
- Center for Clinical and Epidemiologic ResearchBeijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing Municipal Key Laboratory of Clinical EpidemiologyBeijingChina
| | - Yue Qi
- Center for Clinical and Epidemiologic ResearchBeijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing Municipal Key Laboratory of Clinical EpidemiologyBeijingChina
| | - Ying Long
- School of Architecture and Hang Lung Center for Real Estate, Key Laboratory of Eco Planning & Green Building, Ministry of EducationTsinghua UniversityBeijingChina
| | - Jing Liu
- Center for Clinical and Epidemiologic ResearchBeijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing Municipal Key Laboratory of Clinical EpidemiologyBeijingChina
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Su H, Jiang C, Zhang W, Zhu F, Jin Y, Cheng K, Lam T, Xu L. Parity and incident type 2 diabetes in older Chinese women: Guangzhou Biobank Cohort Study. Sci Rep 2023; 13:9504. [PMID: 37308533 DOI: 10.1038/s41598-023-36786-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 06/09/2023] [Indexed: 06/14/2023] Open
Abstract
This study examined the association between parity and incident type 2 diabetes in older Chinese women and estimated the mediation effect of adiposity indicators. A total of 11,473 women without diabetes at baseline from 2003 to 2008 were followed up until 2012. We used Cox proportional hazards regression to assess the association between parity and incident type 2 diabetes, and mediation analysis to estimate the mediation effect of adiposity indicators. Compared to women with one parity, the hazard ratio (HR) (95% confidence interval (CI)) for incident type 2 diabetes was 0.85 (0.44-1.63), 1.20 (1.11-1.30), 1.28 (1.16-1.41) and 1.27 (1.14-1.42) for women with parity of 0, 2, 3, and ≥ 4, respectively. The proportion of indirect effect (95% CI) mediated by body mass index, waist circumference, hip circumference, waist-to-hip ratio, waist-to-height ratio and body fat percentage was 26.5% (19.2-52.2%), 54.5% (39.4-108.7%), 25.1% (18.2-49.1%), 35.9% (25.6-74.1%), 50.3% (36.5-98.6%) and 15.1% (- 66.4 to 112.3%), respectively. Compared to women with one parity, women with multiparity (≥ 2) had a higher risk of incident type 2 diabetes and up to half of the association was mediated by abdominal obesity.
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Affiliation(s)
- Huimin Su
- School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, China
| | - Chaoqiang Jiang
- Molecular Epidemiology Research Centre, Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China
| | - Weisen Zhang
- Molecular Epidemiology Research Centre, Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China.
| | - Feng Zhu
- Molecular Epidemiology Research Centre, Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China
| | - Yali Jin
- Molecular Epidemiology Research Centre, Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China
| | - Karkeung Cheng
- Institute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK
| | - Taihing Lam
- Molecular Epidemiology Research Centre, Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China
- School of Public Health, The University of Hong Kong, Hong Kong, 999077, China
| | - Lin Xu
- School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, China.
- School of Public Health, The University of Hong Kong, Hong Kong, 999077, China.
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Shi L, Xue J, Zhao W, Cheng Y, Wang J, Xu Z, Wang A. Trends in metabolic indicators and microvascular complications in Chinese adults with newly diagnosed type 2 diabetes: A retrospective, single-centre study of twenty-years. Diab Vasc Dis Res 2023; 20:14791641231179867. [PMID: 37300432 DOI: 10.1177/14791641231179867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/12/2023] Open
Abstract
BACKGROUND The purpose of this study is to assess metabolic indicators and trends in microvascular complications among Chinese adults with newly diagnosed type 2 diabetes during 2000-2020. METHODS 3,907 patients were included and divided into three groups according to a time period of 7 years. This study analyzed trends in proportions of patients reached therapeutic targets of blood glucose, pressure and lipids, and trends in albuminuria, retinopathy, and peripheral neuropathy. RESULTS In the past 20 years, the age of adults with newly diagnosed type 2 diabetes tended to be younger, and the proportion of female patients increased. There seemed no improvements in blood glucose and pressure. The rate of awareness and treatment on target of hypertension was less than 50%. There was a significant decrease in the prevalence of retinopathy, but no changes in nephropathy or peripheral neuropathy. Complications were more common for patients who were smoker, male, or with hypertension and obesity. CONCLUSIONS Over the past two decades, there have been encouraging reductions in retinopathy in Chinese adults with newly diagnosed diabetes, but no significant change in albuminuria and peripheral neuropathy. It may be related to the low awareness of diabetes and insufficient controlled blood glucose, pressure and lipids on target.
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Affiliation(s)
- Lintao Shi
- Department of Endocrinology, Diabetes Centre of People's Liberation Army (PLA), PLA Strategic Support Force Medical Center (The 306th Hospital of PLA), Sohu Inc, Beijing, China
| | - Jing Xue
- Department of Endocrinology, Diabetes Centre of People's Liberation Army (PLA), PLA Strategic Support Force Medical Center (The 306th Hospital of PLA), Sohu Inc, Beijing, China
| | - Weibo Zhao
- Department of Endocrinology, Diabetes Centre of People's Liberation Army (PLA), PLA Strategic Support Force Medical Center (The 306th Hospital of PLA), Sohu Inc, Beijing, China
| | - Yuxia Cheng
- Department of Endocrinology, Diabetes Centre of People's Liberation Army (PLA), PLA Strategic Support Force Medical Center (The 306th Hospital of PLA), Sohu Inc, Beijing, China
| | - Jianjun Wang
- Department of Endocrinology, Diabetes Centre of People's Liberation Army (PLA), PLA Strategic Support Force Medical Center (The 306th Hospital of PLA), Sohu Inc, Beijing, China
| | - Zhangrong Xu
- Department of Endocrinology, Diabetes Centre of People's Liberation Army (PLA), PLA Strategic Support Force Medical Center (The 306th Hospital of PLA), Sohu Inc, Beijing, China
| | - Aihong Wang
- Department of Endocrinology, Diabetes Centre of People's Liberation Army (PLA), PLA Strategic Support Force Medical Center (The 306th Hospital of PLA), Sohu Inc, Beijing, China
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Maimaitituerxun R, Chen W, Xiang J, Kaminga AC, Wu XY, Chen L, Yang J, Liu A, Dai W. Prevalence of comorbid depression and associated factors among hospitalized patients with type 2 diabetes mellitus in Hunan, China. BMC Psychiatry 2023; 23:158. [PMID: 36918821 PMCID: PMC10012793 DOI: 10.1186/s12888-023-04657-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 03/06/2023] [Indexed: 03/16/2023] Open
Abstract
BACKGROUND Depression and diabetes are major health challenges, with heavy economic social burden, and comorbid depression in diabetes could lead to a wide range of poor health outcomes. Although many descriptive studies have highlighted the prevalence of comorbid depression and its associated factors, the situation in Hunan, China, remains unclear. Therefore, this study aimed to identify the prevalence of comorbid depression and associated factors among hospitalized type 2 diabetes mellitus (T2DM) patients in Hunan, China. METHODS This cross-sectional study involved 496 patients with T2DM who were referred to the endocrinology inpatient department of Xiangya Hospital affiliated to Central South University, Hunan. Participants' data on socio-demographic status, lifestyle factors, T2DM-related characteristics, and social support were collected. Depression was evaluated using the Hospital Anxiety and Depression Scale-depression subscale. All statistical analyses were conducted using the R software version 4.2.1. RESULTS The prevalence of comorbid depression among hospitalized T2DM patients in Hunan was 27.22% (95% Confidence Interval [CI]: 23.3-31.1%). Individuals with depression differed significantly from those without depression in age, educational level, per capita monthly household income, current work status, current smoking status, current drinking status, regular physical activity, duration of diabetes, hypertension, chronic kidney disease, stroke, fatty liver, diabetic nephropathy, diabetic retinopathy, insulin use, HbA1c, and social support. A multivariable logistic regression model showed that insulin users (adjusted OR = 1.86, 95% CI: 1.02-3.42) had a higher risk of depression, while those with regular physical activity (adjusted OR = 0.48, 95% CI: 0.30-0.77) or greater social support (adjusted OR = 0.20, 95% CI: 0.11-0.34) had a lower risk of depression. The area under the curve of the receiver operator characteristic based on this model was 0.741 with a sensitivity of 0.785 and specificity of 0.615. CONCLUSIONS Depression was moderately prevalent among hospitalized T2DM patients in Hunan, China. Insulin treatment strategies, regular physical activity, and social support were significantly independently associated with depression, and the multivariable model based on these three factors demonstrated good predictivity, which could be applied in clinical practice.
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Affiliation(s)
- Rehanguli Maimaitituerxun
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, China
| | - Wenhang Chen
- Department of Nephrology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jingsha Xiang
- Human Resource Department, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Atipatsa C Kaminga
- Department of Mathematics and Statistics, Mzuzu University, Mzuzu, Malawi
| | - Xin Yin Wu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, China
| | - Letao Chen
- Infection Control Center, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jianzhou Yang
- Department of Preventive Medicine, Changzhi Medical College, Changzhi, Shanxi, China
| | - Aizhong Liu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, China
| | - Wenjie Dai
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, China.
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Chen L, Liu X, Lin Q, Dai H, Zhao Y, Shi Z, Wu L. Status of continuous glucose monitoring use and management in tertiary hospitals of China: a cross-sectional study. BMJ Open 2023; 13:e066801. [PMID: 36737090 PMCID: PMC9900061 DOI: 10.1136/bmjopen-2022-066801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
OBJECTIVE This study aims to reveal the use and management status of continuous glucose monitoring (CGM) in tertiary hospitals in China and to determine the potential factors affecting the application of CGM, based on which more effective solutions would be produced and implemented. DESIGN An online, cross-sectional study was conducted from October 2021 to December 2021. SETTING Eighty-three tertiary hospitals in China were involved. PARTICIPANTS Eighty-three head nurses and 281 clinical nurses were obtained. OUTCOME Current condition of CGM use and management, the factors that hinder the use and management of CGM, scores of current CGM use and management, as well as their influencing factors, were collected. RESULTS Among the 83 hospitals surveyed, 57 (68.7%) hospitals used CGM for no more than 10 patients per month. Seventy-three (88.0%) hospitals had developed CGM standard operating procedures, but only 29 (34.9%) hospitals devised emergency plans to deal with adverse effects related to CGM. Comparably, maternal and children's hospitals were more likely to have a dedicated person to assign install CGM than general hospitals (52.2% vs 26.7%). As for the potential causes that hinder the use and management of CGM, head nurses' and nurses' perceptions differed. Head nurses perceived patients' limited knowledge about CGM (60.2%), the high costs of CGM and inaccessibility to medical insurance (59.0%), and imperfect CGM management systems (44.6%) as the top three factors. Different from head nurses, CGM operation nurses considered the age of CGM operators, the type of hospital nurses worked in, the number of patients using CGM per month and the number of CGM training sessions as potential factors (p<0.05). CONCLUSIONS The study provides a broad view of the development status of CGM in China. Generally speaking, the use and management of CGM in China are not yet satisfactory, and more efforts are wanted for improvement.
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Affiliation(s)
- Liping Chen
- Department of Endocrinology, Chongqing Medical University Affiliated Children's Hospital, Chongqing, China
- National Clinical Research Center for Child Health and Disorders, Chongqing, China
- Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China
- Chongqing Key Laboratory of Paediatrics, Chongqing, China
| | - Xiaoqin Liu
- National Clinical Research Center for Child Health and Disorders, Chongqing, China
- Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China
- Chongqing Key Laboratory of Paediatrics, Chongqing, China
- Department of Nursing, Chongqing Medical University Affiliated Children's Hospital, Chongqing, China
| | - Qin Lin
- Department of Endocrinology, Chongqing Medical University Affiliated Children's Hospital, Chongqing, China
- National Clinical Research Center for Child Health and Disorders, Chongqing, China
- Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China
- Chongqing Key Laboratory of Paediatrics, Chongqing, China
| | - Hongmei Dai
- Department of Endocrinology, Chongqing Medical University Affiliated Children's Hospital, Chongqing, China
- National Clinical Research Center for Child Health and Disorders, Chongqing, China
- Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China
- Chongqing Key Laboratory of Paediatrics, Chongqing, China
| | - Yong Zhao
- School of Public Health and Management, Chongqing Medical University, Chongqing, Chongqing, China
| | - Zumin Shi
- Human Nutrition Department, Qatar University, Doha, Ad Dawhah, Qatar
| | - Liping Wu
- National Clinical Research Center for Child Health and Disorders, Chongqing, China
- Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China
- Chongqing Key Laboratory of Paediatrics, Chongqing, China
- Department of Nursing, Chongqing Medical University Affiliated Children's Hospital, Chongqing, China
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Wu M, Xu X, Zhao R, Bai X, Zhu B, Zhao Z. Effect of Pharmacist-Led Interventions on Medication Adherence and Glycemic Control in Type 2 Diabetic Patients: A Study from the Chinese Population. Patient Prefer Adherence 2023; 17:119-129. [PMID: 36660042 PMCID: PMC9843620 DOI: 10.2147/ppa.s394201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 01/04/2023] [Indexed: 01/12/2023] Open
Abstract
PURPOSE Medication adherence plays an important role in glycemic control in type 2 diabetes mellitus (T2DM) self-management. To analyze the factors influencing medication adherence in T2DM patients and the effect of pharmacist-led interventions, we conducted a study in Beijing, China. PATIENTS AND METHODS T2DM patients with hypoglycemic drugs for at least 6 months were enrolled. A pharmacist-led survey was conducted followed by individualized interventions for those non-adherent patients monthly within 3 months. FPG, HbA1c, and 2hPG were measured as the comprehensive glycemic control. Medication adherence was determined according to the patient's self-reported compliance with prescribed medication during the last 3 months. RESULTS A total of 763 T2DM patients were included. The average age was 63.26±11.89 years, with 363 males. After pharmacist intervention, the patients with good adherence increased from 34.21% to 39.06%, while poor adherence decreased from 32.5% to 24.5% (p < 0.001). The average adherence score was a significant increase (p < 0.001) from 27.846±4.185 to 29.831±7.065. Furthermore, our study demonstrated that pharmacist-led interventions significantly increased glycemic control (FPG from 42.33% to 53.60%, p < 0.001; 2hPG from 41.68% to 48.75%, p = 0.005; HbA1c from 24.12% to 29.23%, p = 0.024). The results found that body mass index (OR 0.643, 95% CI 0.437-0.945), use of medications empirically (occasionally (OR=3.066, 95% CI 2.069-4.543); often (OR=2.984, 95% CI 1.107-8.044)), following the doctor's advice to visit (OR 2.129, 95% CI 1.079-4.202) and lifestyle compliance (OR 2.835, 95% CI 1.094-7.346) were the independent risk factors of non-adherence (p < 0.05), the area under the ROC curve was 0.716. CONCLUSION Self-reported medication adherence and glycemic control in T2DM patients were poor which can be improved by pharmacist-led interventions. Interventions should focus on empirical medication behavior, non-adherence to lifestyle, and failure to follow the doctor's advice. The recall bias with self-reported results needs further objective data to verify.
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Affiliation(s)
- Mingfen Wu
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People’s Republic of China
| | - Xiaohan Xu
- Department of Pharmacy, Peking University Third Hospital, Beijing, 100191, People’s Republic of China
| | - Rongsheng Zhao
- Department of Pharmacy, Peking University Third Hospital, Beijing, 100191, People’s Republic of China
| | - Xiangrong Bai
- Department of Pharmacy, Xuanwu Hospital Capital Medical University, Beijing, 100053, People’s Republic of China
| | - Bin Zhu
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People’s Republic of China
| | - Zhigang Zhao
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People’s Republic of China
- Correspondence: Zhigang Zhao; Bin Zhu, Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, People’s Republic of China, Tel +8601059978036; +8601059975444, Fax +8601059976856, Email ;
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12
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Boonpor J, Ho FK, Gray SR, Celis-Morales CA. Association of Self-reported Walking Pace With Type 2 Diabetes Incidence in the UK Biobank Prospective Cohort Study. Mayo Clin Proc 2022; 97:1631-1640. [PMID: 36058577 DOI: 10.1016/j.mayocp.2022.02.028] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 01/20/2022] [Accepted: 02/24/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVE To investigate the association between self-reported walking pace and type 2 diabetes (T2D) incidence and whether it differed by physical activity levels and walking time. METHODS There were 162,155 participants (mean age, 57.1 years; 54.9% women) from the UK Biobank prospective study, recruited between 2006 and 2010, included in the study. Walking pace was self-reported and classified as brisk, average, or slow. Total physical activity and walking time were self-reported using the International Physical Activity Questionnaire. Association between walking pace and T2D incidence and the potential moderating role of physical activity and walking time were investigated using Cox proportional hazards models. RESULTS The median follow-up was 7.4 (interquartile range, 6.7 to 8.2) years. There were 4442 participants in whom T2D developed during the follow-up period. In the fully adjusted model (sociodemographic factors, diet, body mass index, and physical activity), average walking pace (hazard ratio [HR], 1.28; 95% CI, 1.14 to 1.44) and slow walking pace (HR, 1.91; 95% CI, 1.62 to 2.24) were associated with a higher T2D risk compared with brisk walking among women. Among men, average walking pace (HR, 1.28; 95% CI, 1.17 to 1.40) and slow walking pace (HR, 1.73; 95% CI, 1.50 to 1.99) were also associated with higher T2D risk. Compared with slow walkers, brisk walkers have the same diabetes incidence rate 18.6 and 16.0 years later, for women and men, respectively. CONCLUSION Average and slow walking pace was associated with a higher risk of incident T2D in both men and women, independent of major confounding factors. The associations were consistent across different physical activity levels and walking time.
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Affiliation(s)
- Jirapitcha Boonpor
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Frederick K Ho
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Stuart R Gray
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Carlos A Celis-Morales
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom; Human Performance Lab, Education, Physical Activity and Health Research Unit, University Católica del Maule, Talca, Chile.
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Trends and Inequalities in the Incidence of Acute Myocardial Infarction among Beijing Townships, 2007-2018. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182312276. [PMID: 34886003 PMCID: PMC8656834 DOI: 10.3390/ijerph182312276] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 11/15/2021] [Accepted: 11/17/2021] [Indexed: 11/28/2022]
Abstract
Acute myocardial infarction (AMI) poses a serious disease burden in China, but studies on small-area characteristics of AMI incidence are lacking. We therefore examined temporal trends and geographic variations in AMI incidence at the township level in Beijing. In this cross-sectional analysis, 259,830 AMI events during 2007–2018 from the Beijing Cardiovascular Disease Surveillance System were included. We estimated AMI incidence for 307 consistent townships during consecutive 3-year periods with a Bayesian spatial model. From 2007 to 2018, the median AMI incidence in townships increased from 216.3 to 231.6 per 100,000, with a greater relative increase in young and middle-aged males (35–49 years: 54.2%; 50–64 years: 33.2%). The most pronounced increases in the relative inequalities was observed among young residents (2.1 to 2.8 for males and 2.8 to 3.4 for females). Townships with high rates and larger relative increases were primarily located in Beijing’s northeastern and southwestern peri-urban areas. However, large increases among young and middle-aged males were observed throughout peri-urban areas. AMI incidence and their changes over time varied substantially at the township level in Beijing, especially among young adults. Targeted mitigation strategies are required for high-risk populations and areas to reduce health disparities across Beijing.
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Ke J, Lin T, Liu X, Wu K, Ruan X, Ding Y, Liu W, Qiu H, Tan X, Wang X, Chen X, Li Z, Cao G. Glucose Intolerance and Cancer Risk: A Community-Based Prospective Cohort Study in Shanghai, China. Front Oncol 2021; 11:726672. [PMID: 34527591 PMCID: PMC8435720 DOI: 10.3389/fonc.2021.726672] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 08/11/2021] [Indexed: 01/24/2023] Open
Abstract
Background Cancer becomes the leading cause of premature death in China. Primary objective of this study was to determine the major risk factors especially glucose intolerance for cancer prophylaxis. Methods A cluster sampling method was applied to enroll 10,657 community-based adults aged 15-92 years in Shanghai, China in 2013. A structured questionnaire and physical examination were applied in baseline survey. Prediabetes was diagnosed using 75-g oral glucose tolerance test. After excluding 1433 subjects including 224 diagnosed with cancer before and 1 year after baseline survey, the remaining 9,224 subjects were followed-up to December 31, 2020. Results A total of 502 new cancer cases were diagnosed. The cancer incidence was 10.29, 9.20, and 5.95/1,000 person-years in diabetes patients, those with prediabetes, and healthy participants, respectively (p<0.001). The multivariate Cox regression analysis indicated that age, prediabetes and diabetes, were associated with an increased risk of cancer in those <65 years, the hazard ratios (95% confidence interval) for prediabetes and diabetes were, 1.49(1.09-2.02) and 1.51(1.12-2.02), respectively. Glucose intolerance (prediabetes and diabetes) were associated with increased risks of stomach cancer, colorectal cancer, and kidney cancer in those <65 years. Anti-diabetic medications reduced the risk of cancer caused by diabetes. The multivariate Cox analysis showed that age, male, <9 years of education, and current smoking were associated with increased risks of cancer in those ≥65 years independently. Conclusions Glucose intolerance is the prominent cancer risk factor in adults <65 years. Lifestyle intervention and medications to treat glucose intolerance help prevent cancer in this population.
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Affiliation(s)
- Juzhong Ke
- Department of Epidemiology, Second Military Medical University, Shanghai, China.,Pudong New Area Center for Disease Control and Prevention, Pudong Institute of Preventive Medicine, Fudan University, Shanghai, China
| | - Tao Lin
- Pudong New Area Center for Disease Control and Prevention, Pudong Institute of Preventive Medicine, Fudan University, Shanghai, China
| | - Xiaolin Liu
- Pudong New Area Center for Disease Control and Prevention, Pudong Institute of Preventive Medicine, Fudan University, Shanghai, China
| | - Kang Wu
- Pudong New Area Center for Disease Control and Prevention, Pudong Institute of Preventive Medicine, Fudan University, Shanghai, China
| | - Xiaonan Ruan
- Pudong New Area Center for Disease Control and Prevention, Pudong Institute of Preventive Medicine, Fudan University, Shanghai, China
| | - Yibo Ding
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Wenbin Liu
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Hua Qiu
- Pudong New Area Center for Disease Control and Prevention, Pudong Institute of Preventive Medicine, Fudan University, Shanghai, China
| | - Xiaojie Tan
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Xiaonan Wang
- Pudong New Area Center for Disease Control and Prevention, Pudong Institute of Preventive Medicine, Fudan University, Shanghai, China
| | - Xi Chen
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Zhitao Li
- Pudong New Area Center for Disease Control and Prevention, Pudong Institute of Preventive Medicine, Fudan University, Shanghai, China
| | - Guangwen Cao
- Department of Epidemiology, Second Military Medical University, Shanghai, China
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15
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Chen H, Wu J, Wang Z, Wu Y, Wu T, Wu Y, Wang M, Wang S, Wang X, Wang J, Yu H, Hu Y, Shang S. Trends and Patterns of Knee Osteoarthritis in China: A Longitudinal Study of 17.7 Million Adults from 2008 to 2017. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18168864. [PMID: 34444613 PMCID: PMC8395063 DOI: 10.3390/ijerph18168864] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 08/19/2021] [Accepted: 08/20/2021] [Indexed: 12/18/2022]
Abstract
Background: Knee osteoarthritis (KOA) provides many challenges on the healthcare system. However, few studies have reported the epidemiology, particularly in a large population. Our study aimed to estimate the prevalence, incidence, trends, and patterns of diagnosed KOA in China. Methods: This was a longitudinal study. We used health insurance claims of 17.7 million adults from 2008-2017 to identify people with KOA. Trends in prevalence and incidence were analyzed using joinpoint regression. Results: We identified 2,447,990 people with KOA in Beijing, 60% of which were women. The 10-year average age-standardized prevalence and incidence of KOA was, respectively, 4.6% and 25.2 per 1000 person-years. Prevalence increased with age, surging after 55 years old. The average crude prevalence was 13.2% for people over 55 years old. The prevalence showed an increasing trend from 2008 to 2017, including a period of rapid rise from 2008 to 2011 (p < 0.05); the increase in prevalence was greatest in people under 35 years old (p < 0.05). Conclusion: Our analyses showed that the annual prevalence rate of KOA increased significantly from 2008 to 2017 in China. We need to increase our attention to women and the elderly over 55 years old, and also be alert to the younger trend of incidence of KOA.
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Affiliation(s)
- Hongbo Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (Z.W.); (Y.W.); (T.W.); (Y.W.); (M.W.); (S.W.); (X.W.); (J.W.); (H.Y.)
- School of Nursing, Peking University, No. 38 Xueyuan Road, Beijing 100191, China
| | - Junhui Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (Z.W.); (Y.W.); (T.W.); (Y.W.); (M.W.); (S.W.); (X.W.); (J.W.); (H.Y.)
| | - Zijing Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (Z.W.); (Y.W.); (T.W.); (Y.W.); (M.W.); (S.W.); (X.W.); (J.W.); (H.Y.)
| | - Yao Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (Z.W.); (Y.W.); (T.W.); (Y.W.); (M.W.); (S.W.); (X.W.); (J.W.); (H.Y.)
| | - Tao Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (Z.W.); (Y.W.); (T.W.); (Y.W.); (M.W.); (S.W.); (X.W.); (J.W.); (H.Y.)
| | - Yiqun Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (Z.W.); (Y.W.); (T.W.); (Y.W.); (M.W.); (S.W.); (X.W.); (J.W.); (H.Y.)
| | - Mengying Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (Z.W.); (Y.W.); (T.W.); (Y.W.); (M.W.); (S.W.); (X.W.); (J.W.); (H.Y.)
| | - Siyue Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (Z.W.); (Y.W.); (T.W.); (Y.W.); (M.W.); (S.W.); (X.W.); (J.W.); (H.Y.)
| | - Xiaowen Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (Z.W.); (Y.W.); (T.W.); (Y.W.); (M.W.); (S.W.); (X.W.); (J.W.); (H.Y.)
| | - Jiating Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (Z.W.); (Y.W.); (T.W.); (Y.W.); (M.W.); (S.W.); (X.W.); (J.W.); (H.Y.)
| | - Huan Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (Z.W.); (Y.W.); (T.W.); (Y.W.); (M.W.); (S.W.); (X.W.); (J.W.); (H.Y.)
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (Z.W.); (Y.W.); (T.W.); (Y.W.); (M.W.); (S.W.); (X.W.); (J.W.); (H.Y.)
- Medical Informatics Center, Peking University, No. 38 Xueyuan Road, Beijing 100191, China
- Correspondence: (Y.H.); (S.S.)
| | - Shaomei Shang
- School of Nursing, Peking University, No. 38 Xueyuan Road, Beijing 100191, China
- Correspondence: (Y.H.); (S.S.)
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