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Huang CJ, Lin CH, Liu TL, Lin PC, Chu CC, Wang JJ, Wei CW, Weng SF. Healthcare Utilization and Its Correlates in Comorbid Type 2 Diabetes Mellitus and Generalized Anxiety Disorder. Psychiatr Q 2024; 95:233-252. [PMID: 38639873 DOI: 10.1007/s11126-024-10072-z] [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] [Accepted: 03/25/2024] [Indexed: 04/20/2024]
Abstract
This study investigated the healthcare utilization and medical expenditure of type 2 diabetes mellitus (T2DM) patients with generalized anxiety disorder (GAD) and identified the associated factors. The healthcare utilization and expenditure of T2DM patients with (case group) and without (control group) GAD between 2002 and 2013 were examined using the population-based Taiwan National Health Insurance Research Database. Healthcare utilization included outpatient visits and hospitalization; health expenditure included outpatient, inpatient, and total medical expenditure. Moreover, nonpsychiatric healthcare utilization and medical expenditure were distinguished from total healthcare utilization and medical expenditure. The average healthcare utilization, including outpatient visits and hospitalization, was significantly higher for the case group than for the control group (total and nonpsychiatric). The results regarding differences in average outpatient expenditure (total and nonpsychiatric), inpatient expenditure (total and nonpsychiatric), and total expenditure (total and nonpsychiatric) between the case and control groups are inconsistent. Sex, age, income, comorbidities/complications, and the diabetes mellitus complication severity index were significantly associated with outpatient visits, medical expenditure, and hospitalization in the case group (total and nonpsychiatric). Greater knowledge of factors affecting healthcare utilization and expenditure in comorbid individuals may help healthcare providers intervene to improve patient management and possibly reduce the healthcare burden in the future.
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Affiliation(s)
- Chun-Jen Huang
- Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Psychiatry, School of Post-Baccalaureate Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Psychiatry, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ching-Hua Lin
- Department of Psychiatry, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Kaohsiung Municipal Kai-Syuan Psychiatric Hospital, Kaohsiung, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - Tai-Ling Liu
- Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Psychiatry, School of Medicine and Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Pai-Cheng Lin
- Department of Psychiatry, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chin-Chen Chu
- Department of Anesthesiology, Chi-Mei Medical Center, Tainan, Taiwan
| | - Jhi-Joung Wang
- Department of Anesthesiology, Chi-Mei Medical Center, Tainan, Taiwan
- Department of Medical Research, Chi-Mei Medical Center, Tainan, Taiwan
| | - Chun-Wang Wei
- Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung, Taiwan.
| | - Shih-Feng Weng
- Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung, Taiwan.
- Center for Medical Informatics and Statistics, Office of R&D, Kaohsiung Medical University, Kaohsiung, Taiwan.
- Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
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Tan Q, Yang S, Wang B, Wang M, Yu L, Liang R, Liu W, Song J, Guo Y, Zhou M, Chen W. Gene-environment interaction in long-term effects of polychlorinated biphenyls exposure on glucose homeostasis and type 2 diabetes: The modifying effects of genetic risk and lifestyle. JOURNAL OF HAZARDOUS MATERIALS 2023; 457:131757. [PMID: 37276697 DOI: 10.1016/j.jhazmat.2023.131757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 05/26/2023] [Accepted: 05/30/2023] [Indexed: 06/07/2023]
Abstract
The longitudinal relationships of polychlorinated biphenyls (PCBs) exposure with glucose homeostasis and type 2 diabetes (T2D) risk among Chinese population have not been assessed, and interactions of PCB exposure with genetic susceptibility and lifestyle are unclear. In this prospective cohort study, fasting plasma glucose (FPG) and insulin (FPI) and seven serum indicator-PCBs were measured for each participant. We constructed polygenic risk score (PRS) of T2D and healthy lifestyle score. Each 1-unit increment of ln-transformed PCB-118 was related with a 0.141 mmol/L, 11.410 pmol/L, 0.661, and 74.5% increase in FPG, FPI, homeostasis model assessment of insulin resistance, and incident T2D risk over 6 years, respectively. Each 1-unit increment in T2D-PRS was related with a 0.169 mmol/L elevation of FPG and 65.5% elevation of incident T2D risk during 6 years. Compared with participants who had low T2D-PRS and low PCB-118, participants with high T2D-PRS and high PCB-118 showed a significant increase in FPG (0.162 mmol/L; P for interaction <0.001) and incident T2D risk [hazard ratio (HR)= 2.222]. Participants with low PCB-118, low PRS, and healthy lifestyle had the lowest incident T2D risk (HR=0.232). Our findings highlighted the significance of reducing PCB exposure and improvement in lifestyle for T2D prevention and management, especially for individuals with higher genetic risk of T2D.
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Affiliation(s)
- Qiyou Tan
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Shijie Yang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, Hubei, China
| | - Bin Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Mengyi Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Linling Yu
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Ruyi Liang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Wei Liu
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Jiahao Song
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Yanjun Guo
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Min Zhou
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Weihong Chen
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
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Yang Y, Yan S, Yao N, Guo Y, Wang H, Sun M, Hu W, Li X, Wang L, Li B. Effects of vitamin D supplementation on the regulation of blood lipid levels in prediabetic subjects: A meta-analysis. Front Nutr 2023; 10:983515. [PMID: 36969817 PMCID: PMC10033891 DOI: 10.3389/fnut.2023.983515] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 02/06/2023] [Indexed: 03/11/2023] Open
Abstract
This meta-analysis aimed to systematically investigate whether vitamin D supplementation reduces blood lipid—total cholesterol (TC), LDL cholesterol (LDL-C), HDL cholesterol (HDL-C), and triglyceride (TG)—levels in prediabetic individuals. Pubmed, Web of Science, Cochrane Library, Embase, CNKI, and WANFANG databases were searched for studies published before 13 February 2022 (including 13 February 2022). Five articles were included. The results showed that vitamin D intervention led to a significant reduction in TG compared with control or placebo treatment (−0.42 [−0.59, −0.25], P < 0.001). Subgroup analyses showed that this effect was particularly significant among the studies that included obese subjects (−0.46 [−0.65, −0.28], P < 0.001), the studies that also included men (not only women) (−0.56 [−0.78, −0.34], P < 0.001), and the studies with intervention durations longer than 1 year (−0.46 [−0.65, −0.28], P < 0.001). Both relatively low doses of 2,857 IU/day (−0.65 [−0.92, −0.38], P < 0.001) and relatively high doses of 8,571 IU/day (−0.28 [−0.54, −0.02] P = 0.04) of vitamin D supplementation reduced TG levels, and the effect was observed both in Northern Europe (−0.65 [−0.92, −0.38], P < 0.001) and Asian (−0.25 [−0.48, −0.03], P = 0.03) country subgroups. No significant effects on TC, HDL-C, and LDL-C were shown. In conclusion, vitamin D supplementation might beneficially affect TG levels in individuals with prediabetes. Particularly longer durations of treatment, more than 1 year, with doses that correct vitamin deficiency/insufficiency, can have a beneficial effect. This meta-analysis was registered at www.crd.york.ac.uk/prospero (CRD42020160780).
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Affiliation(s)
- Yixue Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Shoumeng Yan
- School of Nursing, Jilin University, Changchun, Jilin, China
| | - Nan Yao
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Yinpei Guo
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Han Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Mengzi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Wenyu Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Xiaotong Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Ling Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Bo Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
- *Correspondence: Bo Li
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Xie W, Li Y, Meng X, Zhao M. Machine learning prediction models and nomogram to predict the risk of in-hospital death for severe DKA: A clinical study based on MIMIC-IV, eICU databases, and a college hospital ICU. Int J Med Inform 2023; 174:105049. [PMID: 37001474 DOI: 10.1016/j.ijmedinf.2023.105049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 03/03/2023] [Accepted: 03/15/2023] [Indexed: 03/29/2023]
Abstract
AIM To establish a prediction model and assess the risk factors for severe diabetic ketoacidosis (DKA) in adult patients during the ICU. INTRODUCTION With DKA hospitalization rates consistently increasing, in-hospital mortality has become a growing concern. METHODS DKA patients aged >18 years old in the US-based critical care database (Medical Information Mart for Intensive Care (MIMIC-IV)) were considered. Independent risk factors for in-hospital mortality were screened using extreme gradient boosting (XGBoost) and the Bayesian information criterion (BIC) optimal subset regression. One predictive model was developed using machine learning extreme gradient boosting (XGBoost), and the other one was a nomogram based on logistic regression to estimate risks of in-hospital mortality with severe DKA. Established models were assessed by using internal validation and external validation. The MIMIC-IV was split into training and testing samples in a 7:3 ratio. The eICU Collaborative Research Database and admissions data from the department of critical care medicine of the first affiliated hospital of Harbin medical university were used for independent validation. The discriminatory ability of the model was determined by illustrating a receiver operating curve (ROC) and calculating the C-index. Meanwhile, the calibration plot and Hosmer-Lemeshow goodness-of-fit test (HL test) was conducted to evaluate the performance of our new build model. Decision curve analysis (DCA) was performed to assess the clinical net benefit. Net Reclassification Improvement (NRI) was used to compare the predictive power of the two models. RESULTS A multivariable model that included acute physiology score III (APS III), the highest levels of blood plasma osmolality (osmolarity_max), minimum osmolarity (osmolarity_min)/osmolarity _max, vasopressor, and the highest levels of blood lactate was represented as the nomogram. The C- index of the nomogram model was 0.915 (95% CI: 0.966-0.864) in the training dataset and 0.971 (95% CI: 0.992-0.950) in the internal validation. The nomogram's sensitivity was well according to all data's HL test (P > 0.05). DCA showed that our model was clinically valuable. The XGB (extreme gradient boosting) model achieved an AUC (area under the curve) of 0.950 (95% CI, 0.920-0.980); however, the nomogram model made was more effective than XGB based on NRI. CONCLUSION The predictive XGB and nomogram models for predicting in-hospital patient deaths with DKA were effective. The forecast models can help clinical physicians promptly identify patients at high risk of DKA, prevent in-hospital deaths, and promptly intervene.
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Guo M, Wang Z, Wang S, Wang J, Jiang Q. Investigation of risk factors associated with impaired glucose regulation: Using the momentum equation to assess the impact of risk factors on community residents. Front Endocrinol (Lausanne) 2023; 14:1145847. [PMID: 36998481 PMCID: PMC10043464 DOI: 10.3389/fendo.2023.1145847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 02/14/2023] [Indexed: 03/16/2023] Open
Abstract
OBJECTIVE To identify risk factors for impaired glucose regulation (IGR) and assess their impact on community residents, this study used a questionnaire to conduct cross-sectional surveys and analysis. METHODS Overall, 774 residents of an urban community in northern China (Jian city) participated in this study. Trained investigators conducted surveys using questionnaires. Based on their medical history, respondents were divided into three glucose status groups as follows: normal (NGT), IGR, and diabetes mellitus (DM). Statistical analysis of survey data was performed using SPSS v. 22.0. RESULTS Age, hypertension, family history of diabetes (FHD), dyslipidemia, obesity, and cardiovascular and cerebral disease (CVD) were positively correlated with IGR in men and women. IGR was negatively correlated with a sedentary lifestyle in men and positively correlated with being overweight in women. The number of type 2 diabetes mellitus (T2D) risk factors per subject was positively correlated with age in the NGT group. Glucose status deteriorated with increasing age and the number of risk factors. FHD was the strongest risk factor in both men and women. CONCLUSIONS Prevention of IGR includes weight control, physical activity, and prevention of hypertension and dyslipidemia, especially in subjects with FHD.
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Affiliation(s)
- Mengqian Guo
- Department of Traditional Chinese Medicine, Jinan Central Hospital, Jinan, Shandong, China
| | - Zhen Wang
- Department of Ophthalmology, Jinan Central Hospital, Jinan, Shandong, China
| | - Shumei Wang
- Department of Traditional Chinese Medicine, Jinan Central Hospital, Jinan, Shandong, China
| | - Jinju Wang
- Department of Traditional Chinese Medicine, Jinan Central Hospital, Jinan, Shandong, China
| | - Qiang Jiang
- Department of Endocrinology, Jinan Central Hospital, Jinan, Shandong, China
- *Correspondence: Qiang Jiang,
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Rasooly A, Pan Y, Tang Z, Jiangjiang H, Ellen ME, Manor O, Hu S, Davidovitch N. Quality and Performance Measurement in Primary Diabetes Care: A Qualitative Study in Urban China. Int J Health Policy Manag 2022; 11:3019-3031. [PMID: 35942954 PMCID: PMC10105207 DOI: 10.34172/ijhpm.2022.6372] [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: 05/17/2021] [Accepted: 05/17/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Quality measurements in primary healthcare (PHC) have become an essential component for improving diabetes outcomes in many high-income countries. However, little is known about their implementation within the Chinese health-system context and how they are perceived by patients, physicians, and policy-makers. We examined stakeholders' perceptions of quality and performance measurements for primary diabetes care in Shanghai, China, and analyzed facilitators and barriers to implementation. METHODS In-depth interviews with 26 key stakeholders were conducted from 2018 to 2019. Participants were sampled from two hospitals, four community healthcare centers (CHCs), and four institutes involved in regulating CHCs. The Consolidated Framework for Implementation Research (CFIR) guided data analysis. RESULTS Existing quality measurements were uniformly implemented via a top-down process, with daily monitoring of family doctors' work and pay-for-performance incentives. Barriers included excluding frontline clinicians from indicator planning, a lack of transparent reporting, and a rigid organizational culture with limited bottom-up feedback. Findings under the CFIR construct "organizational incentives" suggested that current pay-for-performance incentives function as a "double-edged sword," increasing family doctors' motivation to excel while creating pressures to "game the system" among some physicians. When considering the CFIR construct "reflecting and evaluating," policy-makers perceived the online evaluation application - which provides daily reports on family doctors' work - to be an essential tool for improving quality; however, this information was not visible to patients. Findings included under the "network and communication" construct showed that specialists support the work of family doctors by providing training and patient consultations in CHCs. CONCLUSION The quality of healthcare could be considerably enhanced by involving patients and physicians in decisions on quality measurement. Strengthening hospital-community partnerships can improve the quality of primary care in hospital-centric systems. The case of Shanghai provides compelling policy lessons for other health systems faced with the challenge of improving PHC.
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Affiliation(s)
- Alon Rasooly
- School of Public Health, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Yancen Pan
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, USA
| | - Zhenqing Tang
- Shanghai Health Development Research Center, Shanghai, China
| | - He Jiangjiang
- Shanghai Health Development Research Center, Shanghai, China
| | - Moriah E. Ellen
- School of Public Health, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Orly Manor
- Braun School of Public Health and Community Medicine, Hebrew University, Jerusalem, Israel. 5 School of Public Health, Fudan University, Shanghai, China
| | - Shanlian Hu
- School of Public Health, Fudan University, Shanghai, China
| | - Nadav Davidovitch
- School of Public Health, Ben-Gurion University of the Negev, Beer Sheva, Israel
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Yu LP, Dong F, Li YZ, Yang WY, Wu SN, Shan ZY, Teng WP, Zhang B. Development and validation of a risk assessment model for prediabetes in China national diabetes survey. World J Clin Cases 2022; 10:11789-11803. [PMID: 36405266 PMCID: PMC9669875 DOI: 10.12998/wjcc.v10.i32.11789] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 10/07/2022] [Accepted: 10/17/2022] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Prediabetes risk assessment models derived from large sample sizes are scarce.
AIM To establish a robust assessment model for prediabetes and to validate the model in different populations.
METHODS The China National Diabetes and Metabolic Disorders Study (CNDMDS) collected information from 47325 participants aged at least 20 years across China from 2007 to 2008. The Thyroid Disorders, Iodine Status and Diabetes Epidemiological Survey (TIDE) study collected data from 66108 participants aged at least 18 years across China from 2015 to 2017. A logistic model with stepwise selection was performed to identify significant risk factors for prediabetes and was internally validated by bootstrapping in the CNDMDS. External validations were performed in diverse populations, including populations of Hispanic (Mexican American, other Hispanic) and non-Hispanic (White, Black and Asian) participants in the National Health and Nutrition Examination Survey (NHANES) in the United States and 66108 participants in the TIDE study in China. C statistics and calibration plots were adopted to evaluate the model’s discrimination and calibration performance.
RESULTS A set of easily measured indicators (age, education, family history of diabetes, waist circumference, body mass index, and systolic blood pressure) were selected as significant risk factors. A risk assessment model was established for prediabetes with a C statistic of 0.6998 (95%CI: 0.6933 to 0.7063) and a calibration slope of 1.0002. When externally validated in the NHANES and TIDE studies, the model showed increased C statistics in Mexican American, other Hispanic, Non-Hispanic Black, Asian and Chinese populations but a slightly decreased C statistic in non-Hispanic White individuals. Applying the risk assessment model to the TIDE population, we obtained a C statistic of 0.7308 (95%CI: 0.7260 to 0.7357) and a calibration slope of 1.1137. A risk score was derived to assess prediabetes. Individuals with scores ≥ 7 points were at high risk of prediabetes, with a sensitivity of 60.19% and specificity of 67.59%.
CONCLUSION An easy-to-use assessment model for prediabetes was established and was internally and externally validated in different populations. The model had a satisfactory performance and could screen individuals with a high risk of prediabetes.
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Affiliation(s)
- Li-Ping Yu
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Fen Dong
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing 100029, China
| | - Yong-Ze Li
- Department of Endocrinology and Metabolism, First Hospital of China Medical University, Shenyang 110001, Liaoning Province, China
| | - Wen-Ying Yang
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Si-Nan Wu
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing 100029, China
| | - Zhong-Yan Shan
- Department of Endocrinology and Metabolism, First Hospital of China Medical University, Shenyang 110001, Liaoning Province, China
| | - Wei-Ping Teng
- Department of Endocrinology and Metabolism, First Hospital of China Medical University, Shenyang 110001, Liaoning Province, China
| | - Bo Zhang
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing 100029, China
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Huang CJ, Liu TL, Huang YT, Hsieh HM, Chang CC, Chu CC, Wei CW, Weng SF. Healthcare burden and factors of type 2 diabetes mellitus with Schizophrenia. Eur Arch Psychiatry Clin Neurosci 2022; 272:519-529. [PMID: 33860331 DOI: 10.1007/s00406-021-01258-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 03/30/2021] [Indexed: 02/08/2023]
Abstract
This study investigated healthcare utilization and expenditure for patients with type 2 diabetes mellitus and schizophrenia and associated factors. Healthcare utilization (outpatient visits and hospitalization) and expenditure (outpatient, inpatient, and total medical expenditure) between 2002 and 2013 of patients with T2DM with schizophrenia (case group) and without (control group) were examined using the Taiwan National Health Insurance Research Database. (1) The average total numbers of outpatient visits and hospital admissions of the case group were 35.14 outpatient visits and 1.09 hospital admissions significantly higher than those of the control group in the whole study period (based on every 3-year period). Nonpsychiatric outpatient visits and nonpsychiatric hospital admissions were significantly more numerous for the case group. (2) The total outpatient expenditure, total inpatient expenditure, and total medical expenditure of the case group were NT$65,000, NT$170,000, and NT$235,000 significantly higher than those of the control group, respectively. Nonpsychiatric outpatient expenditure was significantly lower for the case group, but the inpatient and total nonpsychiatric medical expenditure were similar between groups. (3) Patients who were elder of low income, with complications, and high diabetes mellitus complication severity index had higher total numbers of outpatient visits and hospitalizations and medical expenditure. (4) Women had a higher number of outpatient visits but a lower number of hospitalization and medical expenditure. Lower non-psychiatric outpatient expenditure despite more visits indicated non-psychiatrist may not understand schizophrenia patients and cannot communicate well with them, leading to neglect of medical evaluation and treatment that should be carried out.
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Affiliation(s)
- Chun-Jen Huang
- Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Department of Psychiatry, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, 100, Shih-Chuan 1st Road, San Ming District, Kaohsiung, 807, Taiwan
| | - Tai-Ling Liu
- Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Department of Psychiatry, School of Medicine and Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yu-Ting Huang
- Division of Medical Statistics and Bioinformatics, Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung Medical University, No. 100, Tzyou 1st Road, Kaohsiung, 807, Taiwan
| | - Hui-Min Hsieh
- Department of Public Health, Kaohsiung Medical University, 100, Shih-Chuan 1st Road, San Ming District, Kaohsiung, 807, Taiwan
| | - Chih-Cheng Chang
- Department of Psychiatry, Chi Mei Medical Center, 442, Section. 2, Shulin Street, South District, Tainan, 702, Taiwan.,Department of Health Psychology, Chang Jung Christian University, Tainan, Taiwan
| | - Chin-Chen Chu
- Department of Anesthesiology, Chi-Mei Medical Center, 901, Chung Hwa Rd, Yung Kang District, Tainan, 710, Taiwan
| | - Chun-Wang Wei
- Department of Healthcare Administration and Medical Informatics, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Shih-Feng Weng
- Department of Healthcare Administration and Medical Informatics, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan. .,Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan. .,Center for Medical Informatics and Statistics, Office of R&D, Kaohsiung Medical University, Kaohsiung, Taiwan. .,Center for Big Data Research, Kaohsiung Medical University, Kaohsiung, Taiwan.
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Liu Y, Chen X, Li C, Fan B, Lv J, Qu Y, Cai Y, Zhang T. Life-course blood pressure trajectories and incident diabetes: A longitudinal cohort in a Chinese population. Front Endocrinol (Lausanne) 2022; 13:1035890. [PMID: 36440203 PMCID: PMC9691649 DOI: 10.3389/fendo.2022.1035890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 10/24/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Blood pressure levels are correlated with diabetes among middle-aged or older adults. However, longitudinal trajectories of blood pressure during young adulthood and their impact on diabetes have been insufficiently studied. METHODS The longitudinal cohort consisted of 4,625 adults who had blood pressure and body mass index (BMI) repeatedly measured five to nine times during 18-60 years of age. Distinct systolic blood pressure (SBP) trajectories were identified by a group-based trajectory model. Logistic regression analyses were used to investigate the association between trajectory patterns or quartiles of area under the curve values of SBP trajectories and incident diabetes, respectively. RESULTS Four distinct trajectory groups were identified for SBP: normotensive-stable (n = 761, 16.5%), prehypertension-stable (n = 2,381, 51.5%), stage I hypertension-increasing (n = 1,231, 26.6%), and stage II hypertension-increasing (n = 251, 5.4%). Compared with subjects who remained at SBP <120 mmHg in the normotensive-stable group, individuals in the prehypertension-stable trajectory exhibited a normal SBP range (<140 mmHg), and they still had a significantly higher risk of diabetes (adjusted OR = 1.82, p = 0.029). Individuals had a greater risk of diabetes in the stage I hypertension-increasing group (adjusted OR = 2.31, p = 0.006) and the highest risk in the stage II hypertension-increasing group (adjusted OR = 3.91, p < 0.001) relative to the normotensive-stable group. Furthermore, compared with the first quartile, adjusted ORs (95% CIs) of the fourth quartile of SBP incremental and total AUC were 2.50 (1.61-3.97) and 1.82 (1.15-2.94), respectively. CONCLUSIONS Long-term SBP trajectory is a significant predictor for incident diabetes, which is independent of baseline SBP and body weight, attaching importance to maintaining optimal blood pressure levels and controlling changing slopes of SBP for preventing diabetes.
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Affiliation(s)
- Ying Liu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Shandong University, Jinan, China
| | - Xiaohong Chen
- Center of Health Management, Beijing University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Chunxia Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Shandong University, Jinan, China
| | - Bingbing Fan
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Shandong University, Jinan, China
| | - Jiali Lv
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Shandong University, Jinan, China
| | - Yanlin Qu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Shandong University, Jinan, China
| | - Yongjiang Cai
- Center of Health Management, Beijing University Shenzhen Hospital, Shenzhen, Guangdong, China
- *Correspondence: Tao Zhang, ; Yongjiang Cai,
| | - Tao Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Shandong University, Jinan, China
- *Correspondence: Tao Zhang, ; Yongjiang Cai,
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Liu R, Li L, Shao C, Cai H, Wang Z. The Impact of Diabetes on Vascular Disease: Progress from the Perspective of Epidemics and Treatments. J Diabetes Res 2022; 2022:1531289. [PMID: 35434140 PMCID: PMC9012631 DOI: 10.1155/2022/1531289] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 03/10/2022] [Accepted: 03/23/2022] [Indexed: 12/23/2022] Open
Abstract
At present, the global incidence of diabetes has increased in countries with large populations, and the changes in developing regions are particularly worthy of attention. In the past 40 years or so, the income situation in China, India, and other countries has exploded, leading to changes in the way of life and work as well as an increase in the prevalence of diabetes. Metabolic disorders caused by diabetes can lead to secondary vascular complications, which have long-term malignant effects on the heart, kidneys, brain, and other vital organs of patients. Adequate primary prevention measures are needed to reduce the incidence of diabetic vascular complications, and more attention should be given to treatment after the disease. To this end, it is necessary to determine a standardized drug and physical therapy system and to build a more efficient and low-cost chronic disease management system.
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Affiliation(s)
- Runyang Liu
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Lihua Li
- Department of Pathology, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Chen Shao
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Honghua Cai
- Department of Burn Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Zhongqun Wang
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, China
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Yu J, Yi Q, Hou L, Chen G, Shen Y, Song Y, Zhu Y, Song P. Transition of Lipid Accumulation Product Status and the Risk of Type 2 Diabetes Mellitus in Middle-Aged and Older Chinese: A National Cohort Study. Front Endocrinol (Lausanne) 2021; 12:770200. [PMID: 34899605 PMCID: PMC8660859 DOI: 10.3389/fendo.2021.770200] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 10/28/2021] [Indexed: 11/13/2022] Open
Abstract
Background Lipid accumulation product (LAP), a product of waist circumference (WC) and fasting triglycerides (TG), is a measure of lipid accumulation and an effective predictor of metabolic syndrome. This study aimed to evaluate the associations of LAP and its longitudinal transitions with type 2 diabetes mellitus (T2DM) among middle-aged and older Chinese. Methods Data were extracted from the China Health and Retirement Longitudinal Study (2011, 2013, 2015, and 2018). LAP was defined as (WC-65) ×TG for men, and (WC-58) ×TG for women. Participants were classified into high- and low-LAP groups at baseline, and subsequently into four transition patterns during 2011-2015: maintained-high, maintained-low, high-to-low, and low-to-high LAP. The longitudinal transition patterns of LAP on the development of T2DM were assessed by multivariable Cox frailty models. Results Overall, 7397 participants were included for analysis, among whom 849 (11.5%) developed T2DM between 2011 and 2018. Women with high-LAP levels at baseline presented a higher risk of T2DM (hazard ratios [HR]=1.37, 95% confidence interval [CI]: 1.07-1.77), while no significant association was found in men. Compared with women with maintained-low LAP pattern, those with transition patterns of low-to-high LAP and maintained-high LAP were at higher risk of T2DM (HR =1.99 and 1.98, both P<0.05); however, for men, the significantly positive association was only observed in maintained-high LAP transition pattern (HR=1.53, 95% CI: 1.04-2.23). Conclusions Elevated LAP levels and the transition patterns of maintained-high LAP and low-to-high LAP are significant risk factors for T2DM in women. Preventions are needed to combat T2DM at an early dyslipidemic stage.
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Affiliation(s)
- Jinyue Yu
- School of Public Health and Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Institute of Child Health, University College London, London, United Kingdom
| | - Qian Yi
- School of Public Health and Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Leying Hou
- School of Public Health and Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ge Chen
- Medical Research and Biometrics Center, National Center for Cardiovascular Diseases, Beijing, China
| | - Yaojia Shen
- School of Public Health and Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yuan Song
- School of Nursing, Henan University of Traditional Chinese Medicine, Zhengzhou, China
| | - Yimin Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Peige Song
- School of Public Health and Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Wang Y, Wang L, Su Y, Zhong L, Peng B. Prediction model for the onset risk of impaired fasting glucose: a 10-year longitudinal retrospective cohort health check-up study. BMC Endocr Disord 2021; 21:211. [PMID: 34686184 PMCID: PMC8540134 DOI: 10.1186/s12902-021-00878-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Accepted: 10/15/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Impaired fasting glucose (IFG) is a prediabetic condition. Considering that the clinical symptoms of IFG are inconspicuous, these tend to be easily ignored by individuals, leading to conversion to diabetes mellitus (DM). In this study, we established a prediction model for the onset risk of IFG in the Chongqing health check-up population to provide a reference for prevention in a health check-up cohort. METHODS We conducted a retrospective longitudinal cohort study in Chongqing, China from January 2009 to December 2019. The qualified subjects were more than 20 years old and had more than two health check-ups. After following the inclusion and exclusion criteria, the cohort population was randomly divided into a training set and a test set at a ratio of 7:3. We first selected the predictor variables through the univariate generalized estimation equation (GEE), and then the training set was used to establish the IFG risk model based on multivariate GEE. Finally, the sensitivity, specificity, and receiver operating characteristic curves were used to verify the performance of the model. RESULTS A total of 4,926 subjects were included in this study, with an average of 3.87 check-up records, including 2,634 males and 2,292 females. There were 442 IFG cases during the follow-up period, including 286 men and 156 women. The incidence density was 26.88/1000 person-years for men and 18.53/1000 person-years for women (P<0.001). The predictor variables of our prediction model include male (relative risk (RR) =1.422, 95 % confidence interval (CI): 0.923-2.193, P=0.3849), age (RR=1.030, 95 %CI: 1.016-1.044, P<0.0001), waist circumference (RR=1.005, 95 %CI: 0.999-1.012, P=0.0975), systolic blood pressure (RR=1.004, 95 %CI: 0.993-1.016, P=0.4712), diastolic blood pressure (RR=1.023, 95 %CI: 1.005-1.041, P=0.0106), obesity (RR=1.797, 95 %CI: 1.126-2.867, P=0.0140), triglycerides (RR=1.107, 95 %CI: 0.943-1.299, P=0.2127), high-density lipoprotein cholesterol (RR=0.992, 95 %CI: 0.476-2.063, P=0.9818), low-density lipoprotein cholesterol (RR=1.793, 95 %CI: 1.085-2.963, P=0.0228), blood urea (RR=1.142, 95 %CI: 1.022-1.276, P=0.0192), serum uric acid (RR=1.004, 95 %CI: 1.002-1.005, P=0.0003), total cholesterol (RR=0.674, 95 %CI: 0.403-1.128, P=0.1331), and serum creatinine levels (RR=0.960, 95 %CI: 0.945-0.976, P<0.0001). The area under the receiver operating characteristic curve (AUC) in the training set was 0.740 (95 %CI: 0.712-0.768), and the AUC in the test set was 0.751 (95 %CI: 0.714-0.817). CONCLUSIONS The prediction model for the onset risk of IFG had good predictive ability in the health check-up cohort.
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Affiliation(s)
- Yuqi Wang
- Department of Epidemiology and Health Statistics, School of Public Health and Management, Chongqing Medical University, 400016 Chongqing, China
- Medical Data Research Institute of Chongqing Medical University, 400016 Chongqing, China
| | - Liangxu Wang
- School of Basic Medicine, Kunming Medical University, 650031 Kunming, China
| | - Yanli Su
- The First Affiliated Hospital of Chongqing Medical University Health Management Centre, 400016 Chongqing, China
| | - Li Zhong
- The First Affiliated Hospital of Chongqing Medical University Health Management Centre, 400016 Chongqing, China
| | - Bin Peng
- Department of Epidemiology and Health Statistics, School of Public Health and Management, Chongqing Medical University, 400016 Chongqing, China
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Latif R, Rafique N. Prevalence and Risk Factors of Prediabetes in Young Saudi Females in a University Setting. Ethiop J Health Sci 2021; 30:929-940. [PMID: 33883838 PMCID: PMC8047230 DOI: 10.4314/ejhs.v30i6.11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Background Studies reporting prediabetes prevalence in young Saudis are almost a decade old. The present study determined prediabetes prevalence and its associated risk factors (body composition, lipid profile, blood pressure and physical activity) in young Saudi females. Methods Three hundred Saudi females (18–20 years old), studying in year 2 and 3 at Imam Abdulrahman Bin Faisal University, were categorized as normoglycemic or prediabetic based on fasting plasma glucose criteria of World Health Organization (WHO) and American Diabetes Association (ADA). Anthropometric measurements, lipid profile, atherogenic indices, and physical activity data were compared. Association between fasting blood glucose and study variables was found by Bivariate analysis (Spearman Correlation for non-parametric variables and Pearson correlation for parametric) followed by Binary Logistic Regression analysis. Results Prevalence of prediabetes by WHO and ADA criteria were 11.3% and 18.7% respectively. Systolic, diastolic and mean arterial pressures, waist circumference, waist-hip and waist-stature-ratios were significantly raised in prediabetics compared to normoglycemic (WHO criteria p-values; 0.03, 0.003, 0.005, 0.01, 0.01, 0.04 respectively; ADA criteria 0.04, 0.001, 0.02, 0.02, 0.03, 0.01 respectively). For each unit increase in systolic, diastolic and mean arterial pressures, and waist circumference, the odds of becoming prediabetic increased by a factor of 1.02, 1.05, 1.04 and 1.03 respectively by WHO criteria: and 1.01, 1.03, 1.02, and 1.02 respectively by ADA criteria Conclusion Substantial numbers of young females in our university are suffering from prediabetes. An increase in systolic, diastolic, and mean arterial pressures and waist circumference are significant risk factors for prediabetes in young females.
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Affiliation(s)
- Rabia Latif
- Department of Physiology, College of Medicine, Imam Abdulrahman Bin Faisal University
| | - Nazish Rafique
- Department of Physiology, College of Medicine, Imam Abdulrahman Bin Faisal University
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Association of fish consumption with risk of all-cause and cardiovascular disease mortality: an 11-year follow-up of the Guangzhou Biobank Cohort Study. Eur J Clin Nutr 2021; 76:389-396. [PMID: 34230623 DOI: 10.1038/s41430-021-00968-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 05/27/2021] [Accepted: 06/21/2021] [Indexed: 11/08/2022]
Abstract
BACKGROUND Whether fish consumption is associated with all-cause, cardiovascular (CVD), ischemic heart disease (IHD) and stroke mortality remains inconclusive. We examined the association of fish consumption with all-cause, cardiovascular (CVD), ischemic heart disease (IHD) and stroke mortality in older men and women in south China. METHODS A total of 18,215 participants including men and women without CVD at baseline (2003-2006) from Guangzhou Biobank Cohort Study (GBCS) were included and followed up till December 2017. Deaths were identified through record linkage with the Death Registry. Information on fish consumption was obtained using a food frequency questionnaire. RESULTS During an average follow-up of 11.4 (standard deviation = 2.1) years, 2,697 deaths occurred, including 917 total CVD, 397 IHD and 374 stroke deaths. After adjusting for potential confounders, compared with fish consumption of 0-3 servings/week (i.e., 0-21 g/day, one serving = 50 g), consumption of 4-6 servings/week (29-43 g/day) showed significantly lower risks of all-cause and CVD mortality (hazards ratio (HR) and 95% confidence interval (CI): 0.85 (0.76, 0.95) and 0.77 (0.64, 0.93), respectively), but the reduced risk of IHD mortality (HR (95% CI): 0.80 (0.60, 1.07)) was not significant. Consumption of 7-10 servings/week or higher showed no association with all-cause, CVD, IHD, and stroke mortality. CONCLUSIONS Moderate fish consumption of 4-6 servings/week (29-43 g/day) was associated with lower all-cause and CVD mortality risk. Our findings support the current general advice on regular fish consumption also in middle-aged and older adults.
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Li P, Yang M, Hang D, Wei Y, Di H, Shen H, Liu Z. Risk Assessment for Longitudinal Trajectories of Modifiable Lifestyle Factors on Chronic Kidney Disease Burden in China: A Population-based Study. J Epidemiol 2021; 32:449-455. [PMID: 33814506 PMCID: PMC9424184 DOI: 10.2188/jea.je20200497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Background Chronic kidney disease (CKD) is an important contributor to morbidity and mortality from noncommunicable diseases. We aimed to examine the longitudinal trajectories in risk factors, estimate their impact on CKD burden in China from 1991 to 2011, and project trends in the next 20 years. Methods We used data from a cohort of the China Health and Nutrition Survey and applied the comparative risk assessment method to estimate the number of CKD events attributable to all non-optimal levels of each risk factors. Results In 2011, current smoking was the leading individual attributable factor for CKD burden in China responsible for 7.9 (95% confidence interval [CI], 7.5–8.3) million CKD cases with a population-attributable fraction of 8.7% (95% CI, 6.0–11.6), while the rates of smoking have reduced and may have mitigated the increase in CKD. High triglyceride (TG) and high systolic blood pressure (SBP) were the leading metabolic risk factors responsible for 6.8 (95% CI, 6.4–7.1) million and 5.8 (95% CI, 5.5–6.1) million CKD-attributable cases, respectively. Additionally, the number of CKD cases associated with high body mass index (BMI), high diastolic blood pressure (DBP), high plasma glucose, and low high-density lipoprotein cholesterol (HDL-C) was 5.4 (95% CI, 5.1–5.6), 3.9 (95% CI, 3.7–4.1), 3.0 (95% CI, 2.8–3.1) and 2.6 (95% CI, 2.5–2.8) million, respectively. Conclusion Current smoking, high TG, and high SBP were the top three risk factors that contributed to CKD burden in China. Increased BMI, DBP, plasma glucose, and decreased HDL-C were also associated with the increase in CKD burden.
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Affiliation(s)
- Ping Li
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine
| | - Mingjia Yang
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University
| | - Dong Hang
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University
| | - Yongyue Wei
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University
| | - Hongling Di
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University
| | - Zhihong Liu
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine
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Wabo TMC, Nkondjock VRN, Onwuka JU, Sun C, Han T, Sira J. Association of fourteen years diet quality trajectories and type 2 diabetes mellitus with related biomarkers. Aging (Albany NY) 2021; 13:10112-10127. [PMID: 33819180 PMCID: PMC8064195 DOI: 10.18632/aging.202771] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Accepted: 12/23/2020] [Indexed: 11/25/2022]
Abstract
Diet quality fluctuates throughout one’s adulthood, yet it remains unclear how long-term diet quality changes are related to type 2 diabetes mellitus (T2DM) and its biomarkers. We aimed to examine the association of long-term diet quality with T2DM and its biomarkers. Diet quality was assessed by the revised DBI-07, in which diet quality distance levels (DQD) represented the overall diet quality. Participants were clustered into classes sharing similar DQD levels using latent class mixed model. We used Cox regression and random effect linear regression to assess DQD trajectories’ association with T2DM and its biomarkers. Three DQD trajectories were derived: moderate to gradual decrease, high to moderate, high stable DQD level representing 2.14%, 6.18% and, 91.68% of the population. Compared to class 1, class 2 and 3 were associated with an increased risk of T2DM [HR=4.40; 95%CI: 2.02-9.59]; [HR=3.68; 95% CI: 2.11-6.43]. When class 3 was used as a reference, class 1 was also associated with an increased risk of TDM [HR=2.71; 95%CI: 1.55-4.73]. Our findings suggest that a long-term unhealthy diet is associated with an increased risk of T2DM. Gradually reducing DQD level may not make a difference, which establishes the importance of promoting healthy eating habits at early adulthood.
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Affiliation(s)
- Therese Martin Cheteu Wabo
- Department of Nutrition and Food Hygiene, Harbin Medical University, Harbin 150081, China.,Department of Biomedical Sciences, Faculty of Sciences, University of Ngaoundere, Ngaoundere, Cameroon
| | | | - Justina Ucheojor Onwuka
- Department of Epidemiology, Public Health College, Harbin Medical University, Harbin 150081, China
| | - Changhao Sun
- Department of Nutrition and Food Hygiene, Harbin Medical University, Harbin 150081, China
| | - Tianshu Han
- Department of Nutrition and Food Hygiene, Harbin Medical University, Harbin 150081, China
| | - Jackson Sira
- Department of Biomedical Sciences, Faculty of Sciences, University of Ngaoundere, Ngaoundere, Cameroon.,Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin 150081, China
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Li YL, Chuang TW, Chang PY, Lin LY, Su CT, Chien LN, Chiou HY. Long-term exposure to ozone and sulfur dioxide increases the incidence of type 2 diabetes mellitus among aged 30 to 50 adult population. ENVIRONMENTAL RESEARCH 2021; 194:110624. [PMID: 33412098 DOI: 10.1016/j.envres.2020.110624] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 12/04/2020] [Accepted: 12/11/2020] [Indexed: 06/12/2023]
Abstract
AIMS/HYPOTHESIS Worldwide, the information regarding the associations between long-term exposure to ozone (O3) and sulfur dioxide (SO2) and the development of type 2 diabetes remains scarce, especially in Asia. This study aimed to investigate the long-term effects of exposure to ambient O3 and SO2 on the incidence of type 2 diabetes with consideration of other air pollutants in Taiwanese adults aged 30 to 50 years. METHODS A total of 6,426,802 non-diabetic participants aged between 30 and 50 years old were obtained from the National Health Insurance Research Database between 2005 and 2016. Incident type 2 diabetes was the main diagnosis at medical visits. Air quality data were provided by the Taiwan Environmental Protection Administration. The air pollutant concentrations for each participant were estimated using the ordinary kriging method to interpolate daily concentrations of O3, SO2, carbon monoxide (CO), nitrogen dioxide (NO2), suspended fine particles (with an aerodynamic diameter less than 2.5 μm; PM2.5), and suspended particles (with an aerodynamic diameter less than 10 μm; PM10) in residential districts across Taiwan. Six-year average concentrations of pollutants were calculated from January 1, 2005 to December 31, 2010, and data were categorized into quartiles. We performed Cox regression models to analyze the long-term effects of exposure to O3 and SO2 on the incidence of type 2 diabetes. RESULTS The hazard ratio (HR) for the incidence of diabetes per each interquartile range (IQR) increase in ozone exposure (3.30 ppb) was 1.058 (95% confidence interval (CI): 1.053, 1.064) and 1.011 (95% CI: 1.007, 1.015) for SO2 exposure (1.77 ppb) after adjusting for age, sex, socioeconomic status, urbanization level, temperature, humidity, and chronic comorbidities (Model 3). Furthermore, for every 3.30 ppb increase of O3, the HR for incident type 2 diabetes was 1.093 (95% CI: 1.087, 1.100) after controlling factors shown in Model 3 plus SO2 and PM2.5. On the other hand, for every 1.77 ppb increase of SO2, the HR for incident type 2 diabetes was 1.073 (95% CI: 1.068, 1.079) after controlling factors shown in Model 3 plus NO2 and PM2.5. CONCLUSIONS Long-term exposure to ambient O3 and SO2 was associated with a higher risk of developing type 2 diabetes for Taiwanese population. Exposure to O3 and SO2 may play a role in the adult early-onset type 2 diabetes.
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Affiliation(s)
- Yu-Ling Li
- School of Public Health, College of Public Health, Taipei Medical University, No. 250 Wuxing St., Xinyi District, Taipei, 11031, Taiwan
| | - Ting-Wu Chuang
- Department of Molecular Parasitology and Tropical Diseases, School of Medicine, College of Medicine, Taipei Medical University, No. 250 Wuxing St., Xinyi District, Taipei, 11031, Taiwan
| | - Po-Ya Chang
- Department of Leisure Industry and Health Promotion, National Taipei University of Nursing and Health Sciences, No. 365 Ming-te Road, Beitou District, Taipei, 11219, Taiwan
| | - Li-Yin Lin
- Institute of Population Health Sciences, National Health Research Institutes, No.35 Keyan Road, Zhunan Town, Miaoli County, 35053, Taiwan; Master Program in Applied Epidemiology, College of Public Health, Taipei Medical University, No. 250 Wuxing St., Xinyi District, Taipei, 11031, Taiwan
| | - Chien-Tien Su
- School of Public Health, College of Public Health, Taipei Medical University, No. 250 Wuxing St., Xinyi District, Taipei, 11031, Taiwan; Department of Family Medicine, Taipei Medical University Hospital, No. 252 Wuxing St., Xinyi District, Taipei, 11031, Taiwan
| | - Li-Nien Chien
- School of Health Care Administration, College of Management, Taipei Medical University, No. 250 Wuxing St., Xinyi District, Taipei, 11031, Taiwan; Health and Clinical Data Research Center, Office of Data Science, Taipei Medical University No. 250 Wuxing St., Xinyi District, Taipei, 11031, Taiwan
| | - Hung-Yi Chiou
- School of Public Health, College of Public Health, Taipei Medical University, No. 250 Wuxing St., Xinyi District, Taipei, 11031, Taiwan; Institute of Population Health Sciences, National Health Research Institutes, No.35 Keyan Road, Zhunan Town, Miaoli County, 35053, Taiwan; Master Program in Applied Epidemiology, College of Public Health, Taipei Medical University, No. 250 Wuxing St., Xinyi District, Taipei, 11031, Taiwan.
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Xing L, Tian Y, Jing L, Lin M, Du Z, Sun Q, Dai D, Shi L, Yang Z, Liu S. Status and disparities of diabetes among urban and rural residents aged 40 years and older: insight from a population-based study in northeast China, 2017-2019. J Epidemiol Community Health 2021; 75:800-808. [PMID: 33526514 DOI: 10.1136/jech-2020-213755] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 11/15/2020] [Accepted: 01/18/2021] [Indexed: 12/21/2022]
Abstract
OBJECTIVES To evaluate the up-to-date epidemiology of diabetes in northeast China. METHODS The cross-sectional study was conducted between September 2017 and March 2019 using a multistage, stratified and cluster random sampling method. 18 796 participants (28.9% urban and 71.1% rural) aged ≥40 years were enrolled. Diabetes and pre-diabetes were diagnosed according to the history, fasting plasma glucose (FPG) and glycosylated haemoglobin A1c (HbA1c) levels. RESULTS The prevalence of diabetes was 17.1%, higher in urban than in rural residents (20.2% vs 15.8%, p<0.001). Meanwhile, the prevalence of pre-diabetes was 44.3%, higher in rural than in urban areas (49.4% vs 31.8%, p<0.001). The overall FPG and HbA1c were 6.10±1.94 mmol/L and 5.59%±1.08%. The FPG level was higher in rural area than in urban areas (6.15±1.83 mmol/L vs 5.97±2.18 mmol/L, p<0.001). Among participants with diabetes, 47.5% were aware of their diabetes condition; 39.5% were taking antidiabetic medications and 36.8% of people had their diabetes controlled. The awareness and treatment rates in rural areas were lower than those in urban areas (47.3% vs 57.5%, 34.4% vs 49.5%, p<0.001). Patients with diabetic, especially those in rural areas, tended to have multiple risk factors including hypertension (71.7%), overweight or obesity (69.6%) and dyslipidaemia (52.8%). CONCLUSION A considerable burden of diabetes was observed in northeast China, with high percentage of untreated diabetes, high prevalence of pre-diabetes, high overall FPG level and multiple uncontrolled risk factors in patients with diabetics. Therefore, region-specific strategies on prevention and management of diabetes should be emphasised.
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Affiliation(s)
- Liying Xing
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, Liaoning, China.,Department of Chronic Disease, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, Liaoning, China
| | - Yuanmeng Tian
- Department of Chronic Disease, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, Liaoning, China
| | - Li Jing
- Department of Chronic Disease, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, Liaoning, China
| | - Min Lin
- Department of Cardiology, Central Hospital of Ben Xi City, Benxi, China
| | - Zhi Du
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Qun Sun
- Department of Chronic Disease, Disease Control and Prevention of Chao Yang City, Shenyang, China
| | - Dong Dai
- Department of Chronic Disease, Disease Control and Prevention of Dan Dong City, Dandong, China
| | - Lei Shi
- Department of Chronic Disease, Disease Control and Prevention of Liao Yang City, Liaoyang, China
| | - Zuosen Yang
- Department of Chronic Disease, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, Liaoning, China
| | - Shuang Liu
- Department of Cardiovascular Ultrasound, China Medical University First Hospital, Shenyang, Liaoning, China
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19
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Huang CJ, Hsieh HM, Tu HP, Jiang HJ, Wang PW, Lin CH. Generalized anxiety disorder in type 2 diabetes mellitus: prevalence and clinical characteristics. ACTA ACUST UNITED AC 2020; 42:621-629. [PMID: 32321059 PMCID: PMC7678902 DOI: 10.1590/1516-4446-2019-0605] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 01/06/2020] [Indexed: 11/25/2022]
Abstract
Objective: This study investigated the prevalence of generalized anxiety disorder (GAD) in Taiwanese patients with type 2 diabetes mellitus (T2DM). Methods: This retrospective observational study was conducted with a random sample of patients from the entire population of National Health Insurance enrollees during 2000-2010 and used ICD-9-CM diagnostic codes to identify T2DM patients and GAD. The prevalence of GAD was compared between T2DM patients and the general population. Results: Between 2000 and 2010, the prevalence of GAD was significantly greater in the T2DM patients than the general population, while the increase of GAD was higher in the general population (from 0.25 to 0.63%) than among T2DM patients (from 0.81 to 1.03%). In T2DM patients, GAD was associated with female gender, a Charlson Comorbidity Index ≥ 1, diabetes mellitus duration > 9 years, and the following comorbidities: congestive heart failure, peripheral vascular disease, and depressive disorder. The prevalence of GAD among T2DM patients was negatively associated with rapid-acting insulin injection therapy and with the use of metformin and sulfonylureas. Conclusion: Since the prevalence of GAD was greater among T2DM patients than the general population, public health initiatives are needed to prevent and treat GAD in T2DM patients, specifically those with the above mentioned risk factors.
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Affiliation(s)
- Chun-Jen Huang
- Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Department of Psychiatry, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Hui-Min Hsieh
- Department of Public Health, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Hung-Pin Tu
- Department of Public Health and Environmental Medicine, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - He-Jiun Jiang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Peng-Wei Wang
- Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Department of Psychiatry, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ching-Hua Lin
- Department of Psychiatry, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Adult Psychiatry, Kai-Syuan Psychiatric Hospital, Kaohsiung, Taiwan
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20
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Sun D, Li H, Cao M, He S, Lei L, Peng J, Chen W. Cancer burden in China: trends, risk factors and prevention. Cancer Biol Med 2020; 17:879-895. [PMID: 33299641 PMCID: PMC7721090 DOI: 10.20892/j.issn.2095-3941.2020.0387] [Citation(s) in RCA: 138] [Impact Index Per Article: 27.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 10/21/2020] [Indexed: 12/15/2022] Open
Abstract
As the most populous country in the world, China has made strides in health promotion in the past few decades. With the aging population, the burden of cancer in China continues to grow. Changes in risk factors for cancer, especially diet, obesity, diabetes, and air pollution, continue to fuel the shift of cancer transition in China. The burden of upper gastrointestinal cancer in China is decreasing, but still heavy. The rising burden of colorectal, prostate, and breast cancers is also significant. Lung cancer became the top cause of cancer-related deaths, together with smoking as the most important contributor to cancer deaths. The Chinese government has taken several approaches to control cancer and cancer-related risk factors. Many achievements have been made, but some challenges remain. Health China 2030 is ambitious and depicts a bright vision of the future for cancer control in China. The decrease in the cancer burden in China will require cross-sector collaboration and coordinated efforts on primary and secondary preventions by governments, public health organizations, and individuals. In this review, we describe the trends of cancer burden and discuss cancer-related risk factors in China, identifying strategies to reduce the burden of cancer in China.
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Affiliation(s)
- Dianqin Sun
- Department of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - He Li
- Department of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Maomao Cao
- Department of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Siyi He
- Department of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Lin Lei
- Department of Cancer Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China
| | - Ji Peng
- Department of Cancer Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China
| | - Wanqing Chen
- Department of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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21
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Dai N, Shi Q, Hua Y, Guo Y, Bian Z, Li L, Chen Z, Lu Y. Internal fat mediates the impact of age on diabetes onset in chinese people between 30 and 44 years old. ENDOCRINOL DIAB NUTR 2020; 67:594-601. [PMID: 32224148 PMCID: PMC7674848 DOI: 10.1016/j.endinu.2019.12.003] [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] [Received: 07/30/2019] [Revised: 12/09/2019] [Accepted: 12/11/2019] [Indexed: 11/25/2022]
Abstract
AIMS We sought to measure the effect of controlling body fat indexes on decreasing the incidence of type 2 diabetes mellitus (T2DM) mathematically. METHODS Study samples were selected from a well-established cohort in Suzhou, China between 2004 and 2008, comprising 6364 males and 9678 females. The questionnaire contained socio-demographic characteristics, smoking, alcohol consumption, diet, physical activity, personal and family medical history and current medication. Multiple linear regression, Cox regression and mediation analyses were performed to determine the relationship among age, body fat indexes and T2DM onset. RESULTS All the three body fat indexes [the body mass index (BMI), waist-to-hip ratio (WHR) and body fat percentage] showed a significant positive association (P<0.05) with age and T2DM. Significant indirect effects (IE) were detected for age, which were mediated respectively through WHR [IE=1.10, 95%CI: 1.07-1.13; P<0.001], the BMI (IE=1.15, 95%CI: 1.11-1.18; P<0.001), and body fat percentage (IE=1.09, 95%CI: 1.07-1.12; P<0.001). The combined body fat index score demonstrated a significant association with age (P<0.001) and a stronger relationship with the onset of diabetes (P<0.001) along with a significant mediating effect (IE=1.17; 95%CI: 1.13-1.22; P<0.001). The total effect of age on T2DM was 1.60 (95%CI: 1.21-2.10; P=0.0008). As a result, the three body fat indexes jointly mediated 33.97% of the age impact on diabetes onset. CONCLUSIONS This pilot study revealed important roles for body fat indexes in mediating the age pathway to the onset of diabetes. Controling body fat in the appropriate range could reduce 33.97% of the risk of T2DM onset with increasing age.
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Affiliation(s)
- Ningbin Dai
- Suzhou Center for Disease Control and Prevention, Suzhou, China
| | - Qianwen Shi
- Suzhou Center for Disease Control and Prevention, Suzhou, China
| | - Yujie Hua
- Suzhou Center for Disease Control and Prevention, Suzhou, China
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Zheng Bian
- Chinese Academy of Medical Sciences, Beijing, China
| | - Liming Li
- Department of Epidemiology, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yan Lu
- Suzhou Center for Disease Control and Prevention, Suzhou, China.
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22
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Liang X, Jiang CQ, Zhang WS, Zhu F, Jin YL, Cheng KK, Lam TH, Xu L. Glycaemia and hand grip strength in aging people: Guangzhou biobank cohort study. BMC Geriatr 2020; 20:399. [PMID: 33046005 PMCID: PMC7552450 DOI: 10.1186/s12877-020-01808-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 09/30/2020] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND There is a link between hyperglycemia and mechanical functions of muscle. However, existing evidence of the association between hyperglycemia and weaker muscle strength is limited and inconsistent. We examined whether glycemic status was associated with relative grip strength (RGS) in older Chinese. METHODS In 2008-2012, 9180 participants (2516 men and 6664 women) from the Guangzhou Biobank Cohort Study had fasting and 2-h post-load glucose measured. Glycemic status was categorized as normoglycaemia, prediabetes (i.e., impaired fasting glucose and/or impaired glucose tolerance) and diabetes. RGS was assessed using a Jamar Hydraulic Hand Dynamometer divided by body mass index. General linear model was used to assess the association of glycemic status with RGS. RESULTS After adjusting for age, smoking status, alcohol use, physical activity, health status, body fat percentage and waist circumference, in men, hyperglycemia was associated with a lower RGS, with the RGS being 1.38 (95% confidence interval (CI) = 1.34, 1.42) in normoglycaemia, 1.35 (95% CI = 1.30, 1.39) in prediabetes, 1.33 (95% CI = 1.29, 1.38) in newly diagnosed diabetes and 1.32 (95% CI = 1.27, 1.37) in known diabetes (P for trend < 0.001). The association of glycemic status with RGS was non-significant in women. Among the normoglycaemic group, no association was found between fasting glucose and RGS in men, whereas a significantly inverse association was found in women, with adjusted β for RGS per mmol/l increase in fasting glucose being - 0.05 to - 0.04 (P values from 0.002 to 0.03). CONCLUSIONS Higher fasting glucose was associated with reduced grip strength in a dose-response manner, and the association was significant even in women with normoglycaemia. Our findings suggest that lowering glucose across the whole range might be important in preserving muscle strength, especially in aging women.
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Affiliation(s)
- Xue Liang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | | | | | - Feng Zhu
- Guangzhou No.12 Hospital, Guangzhou, 510620, China
| | - Ya Li Jin
- Guangzhou No.12 Hospital, Guangzhou, 510620, China
| | - Kar Keung Cheng
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Tai Hing Lam
- Guangzhou No.12 Hospital, Guangzhou, 510620, China. .,School of Public Health, the University of Hong Kong, Hong Kong, China.
| | - Lin Xu
- School of Public Health, Sun Yat-sen University, Guangzhou, China. .,School of Public Health, the University of Hong Kong, Hong Kong, China.
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23
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Liu J, Ren ZH, Qiang H, Wu J, Shen M, Zhang L, Lyu J. Trends in the incidence of diabetes mellitus: results from the Global Burden of Disease Study 2017 and implications for diabetes mellitus prevention. BMC Public Health 2020; 20:1415. [PMID: 32943028 PMCID: PMC7500018 DOI: 10.1186/s12889-020-09502-x] [Citation(s) in RCA: 145] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 09/04/2020] [Indexed: 01/08/2023] Open
Abstract
BACKGROUD Diabetes mellitus is a common chronic disease and a severe public health issue. The incidence trends for type 1 diabetes (TIDM) and type 2 diabetes (T2DM) have rarely been studied on a global scale. We aimed to determine the temporal and geographical trends of diabetes globally. METHODS Data on diabetes mellitus, including incidence, prevalence from 1990 to 2017 were obtained from the 2017 Global Burden of Disease study. We calculated the estimated annual percentage changes (EAPCs) in age-standardized incidence rate (ASIR) of diabetes mellitus according to sex, region, and disease type. RESULTS The worldwide incident cases of diabetes mellitus has increased by 102.9% from 11,303,084 cases in 1990 to 22,935,630 cases in 2017 worldwide, while the ASIR increased from 234 /100,000 persons (95% UI, 219-249) to 285/100,000 persons (95% UI, 262-310) in this period [EAPC = 0.87, 95% confidence interval (CI):0.79-0.96]. The global ASIRs of T1DM and T2DM both demonstrated significant increase during 1990-2017, with EAPCs of 0.34 (95% CI,0.30-0.39) and 0.89 (95% CI,0.80-0.97), respectively. The ASIR trends also varied considerably by regions and countries. The increase in ASIR was greatest in high sociodemographic index regions (EAPC = 1.05, 95% CI:0.92-1.17) and lowest in low-SDI regions (EAPC = 0.79, 95% CI:0.71-0.88). CONCLUSIONS Both the number of incident cases and ASIR of diabetes mellitus increased significantly during 1990-2017 worldwide, but the temporal trends varied markedly across regions and countries.
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Affiliation(s)
- Jinli Liu
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, PR China
| | - Zhen-Hu Ren
- Department of Oral and Maxillofacial Surgery (Zhang Zhiyuan Academician Workstation), Hainan Western Central Hospital, Danzhou, 571700, China
| | - Hua Qiang
- Department of Cardiovascular Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, 710061, Shaanxi, China
| | - Jine Wu
- Department of Cardiovascular Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, 710061, Shaanxi, China
| | - Mingwang Shen
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, PR China
| | - Lei Zhang
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, PR China. .,Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia. .,Central Clinical School, Faculty of Medicine, Monash University, Melbourne, Australia. .,Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China.
| | - Jun Lyu
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, PR China. .,Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China.
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24
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Zuo D, Xiao X, Yang S, Gao Y, Wang G, Ning G. Effects of bariatric surgery in Chinese with obesity and type 2 diabetes mellitus: A 3-year follow-up. Medicine (Baltimore) 2020; 99:e21673. [PMID: 32846783 PMCID: PMC7447381 DOI: 10.1097/md.0000000000021673] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The incidence of obesity and type 2 diabetes mellitus is growing, and bariatric surgery was applied as a new therapy in the past few decades. However, bariatric surgery started rather late in China, and the number of surgeries and the follow-up data is limited.We assessed body weight, glucose, lipid levels, and blood pressure at baseline and 6-month, 1-year, 3-year in patients who underwent bariatric surgery. Vitamins and trace elements were investigated at 3-year after surgery. The quality of life was assessed at 3-year and compared with the control group.In total 20 patients were recruited in the study, and all the 20 patients underwent surgery and completed all follow-ups. Results showed that the body weight, body mass index, glycated hemoglobin (HbA1C), glucose, and insulin level were decreased, and islet function improved significantly in 6-month and 1-year (P < .001), and the changes were more obvious in the first 6 months. However, all the indexes rebound significantly at the 3-year (P < .05), but still better than baseline (P < .05). Weight regain was 50% after 3 years, and the mean weight regain rate was 31.45%. Besides, blood pressure and lipid levels decreased significantly compared with baseline (P < .001). At the 3-year follow-up, we found that 100% of the patients showed vitamin D deficiency, 50% calcium deficiency, 20% vitamin B12 deficiency, 20% iron deficiency, and 15% suffered from anemia. Compared with the control group, the quality of life was better in patients who underwent surgery, especially in the physical health (P < .05).The current study showed that the body weight, glucose and islet function improved significantly after bariatric surgery, and the indexes changed mainly in the first 6 months, but there seemed to be a rebound after 3 years. Furthermore, the surgery may improve the blood pressure, lipid profile, and the quality of life. However, some patients may suffer anemia, calcium deficiency, iron deficiency, vitamin D, and vitamin B12 deficiency after 3 years.
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Affiliation(s)
- Didi Zuo
- The First Hospital of Jilin University, Changchun, Jilin Province
| | - Xianchao Xiao
- The First Hospital of Jilin University, Changchun, Jilin Province
| | - Shuo Yang
- The First Hospital of Jilin University, Changchun, Jilin Province
| | - Yuan Gao
- The First Hospital of Jilin University, Changchun, Jilin Province
| | - Guixia Wang
- The First Hospital of Jilin University, Changchun, Jilin Province
| | - Guang Ning
- The First Hospital of Jilin University, Changchun, Jilin Province
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University, Shanghai, China
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25
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Tian M, Zhang X, Zhang J. mHealth as a health system strengthening tool in China. Int J Nurs Sci 2020; 7:S19-S22. [PMID: 32995375 PMCID: PMC7501479 DOI: 10.1016/j.ijnss.2020.07.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Revised: 05/04/2020] [Accepted: 07/03/2020] [Indexed: 01/19/2023] Open
Abstract
Over the past 70 years, there was a rapid epidemiological transition in disease burden in China, from infectious disease to non-communicable diseases (NCDs), which requires long-term prevention and management. Rapid growth in mobile phone use, internet connectivity and digital health technology, presents new opportunities for improvement in NCD healthcare delivery and population-based outcomes. Although there were a growing number of research to evaluate the feasibility and effectiveness of the mobile health (mHealth) interventions for NCD management, the extent to which mHealth contributes towards the health system strengthening in China remains unknown. In this paper, we provided a high-level overview of mHealth in China and its role for Chinese health system strengthening. We conclude with several recommendations for the future of mHealth research in China based on existing evidence identified.
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Affiliation(s)
- Maoyi Tian
- The George Institute for Global Health at Peking University Health Science Centre, Beijing, China.,The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Xinyi Zhang
- The George Institute for Global Health at Peking University Health Science Centre, Beijing, China
| | - Jing Zhang
- School of Public Health, University of New South Wales, Australia
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26
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Lou YM, Liao MQ, Wang CY, Chen HE, Peng XL, Zhao D, Gao XP, Xu S, Wang L, Ma JP, Ping Z, Zeng FF. Association between brachial-ankle pulse wave velocity and risk of type 2 diabetes mellitus: results from a cohort study. BMJ Open Diabetes Res Care 2020; 8:e001317. [PMID: 32699113 PMCID: PMC7375424 DOI: 10.1136/bmjdrc-2020-001317] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 06/10/2020] [Accepted: 06/12/2020] [Indexed: 12/23/2022] Open
Abstract
INTRODUCTION Brachial-ankle pulse wave velocity (ba-PWV), as a simple and easily measured marker of arterial stiffness, has not been prospectively explored for its role in type 2 diabetes mellitus (T2DM) risk among the general population. This study aimed to explore the association between baseline ba-PWV value and new-onset T2DM among Chinese adults. RESEARCH DESIGN AND METHODS Using data from Xiaotangshan Hospital, we conducted a prospective cohort study among those who underwent annual or biennial health check-up examinations and who had their ba-PWV measured from 2009 to 2016. We explored the risk of new-onset T2DM across ba-PWV tertiles using Cox proportional-hazards regression analysis. RESULTS Of 6122 adults (68.9% male; mean age: 51.0 (SD 13.0) years) without T2DM and with ba-PWV measured at baseline, 599 participants developed T2DM during an average of 3.8 (SD 2.3) years of follow-up. After multivariable adjustment, ba-PWV was positively related to T2DM risk (p for trend=0.008). Compared with the lowest ba-PWV tertile, the HRs and their 95% CIs were 1.57 (1.18 to 2.10) for the second and 1.66 (1.24 to 2.22) for the third tertile. The risk across ba-PWV tertiles increased steadily from 1000 cm/s to 1400 cm/s and then reached a plateau. Subgroup analyses indicated a significantly higher risk among those aged <65 years and current smokers (p for interactions: <0.001 and 0.006). CONCLUSIONS Our findings suggest that ba-PWV might be a useful and independent predictor of new-onset T2DM with ba-PWV ranging between 1000 cm/s and 1400 cm/s, especially among younger individuals and current smokers.
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Affiliation(s)
- Yan-Mei Lou
- Department of Health Management, Beijing Xiao Tang Shan Hospital, Beijing, China
| | - Min-Qi Liao
- Department of Epidemiology, Jinan University, Guangzhou, China
| | - Chang-Yi Wang
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Hong-En Chen
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Xiao-Lin Peng
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Dan Zhao
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Xu-Ping Gao
- Department of Epidemiology, Jinan University, Guangzhou, China
| | - Shan Xu
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Li Wang
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Jian-Ping Ma
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Zhao Ping
- Department of Health Management, Beijing Xiao Tang Shan Hospital, Beijing, China
| | - Fang-Fang Zeng
- Department of Epidemiology, Jinan University, Guangzhou, China
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27
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A population-based survey for dietary patterns and prediabetes among 7555 Chinese adults in urban and rural areas in Jiangsu Province. Sci Rep 2020; 10:10488. [PMID: 32591599 PMCID: PMC7320015 DOI: 10.1038/s41598-020-67028-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2019] [Accepted: 06/01/2020] [Indexed: 12/18/2022] Open
Abstract
Background: Prediabetes is an important public health problem concern globally, to which dietary patterns have shown varied effects. This study aims to analyze the relationship between dietary patterns and prediabetes in Chinese adults. Methods: A total of 7555 adults from Jiangsu province, China, were recruited using a stratified multistage cluster sampling method. Information on diet intake, demographic, blood glucose and other indices were collected by structured questionnaires. Four dietary patterns of Meat diet, Healthy diet, Traditional diet and Fried food with staple diet were identified using Principle Component Analysis and followingly divided into T1 - T4 groups according to their quartiles of factor scores. Multivariate logistic regression analysis was used to investigate the association between dietary patterns and prediabetes. Results: Healthy diet was found to be associated with the lowest prevalence of prediabetes (P < 0.05). Multivariate logistic regression analysis after adjusting the confounding factors demonstrated that the lowest odds ratio with prediabetes was associated with the third quartile (T3 group) of Healthy diet (Odds Ratio = 0.745, 95% Confidence Interval: 0.645–0.860, P < 0.01), compared with the lower quartile (T1 group). The Meat diet was a potential risk factor for the isolated IFG (Odds Ratio = 1.227, 95%Confidence Interval: 1.070–1.406, P-value<0.01) while Fried food with staple diet was positively linked to the presence of IFG combined with IGT (Odds Ratio = 1.735, 95% Confidence Interval: 1.184–2.543, P-value < 0.01). Conclusions: Dietary patterns rich in meat but low in fresh fruit, fresh vegetable, milk, and fish are positively associated with higher risk of prediabetes, particularly the IFG. Higher Healthy diet consumption was associated with significantly lower risk of prediabetes.
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Li Y, Teng D, Shi X, Qin G, Qin Y, Quan H, Shi B, Sun H, Ba J, Chen B, Du J, He L, Lai X, Li Y, Chi H, Liao E, Liu C, Liu L, Tang X, Tong N, Wang G, Zhang JA, Wang Y, Xue Y, Yan L, Yang J, Yang L, Yao Y, Ye Z, Zhang Q, Zhang L, Zhu J, Zhu M, Ning G, Mu Y, Zhao J, Teng W, Shan Z. Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American Diabetes Association: national cross sectional study. BMJ 2020; 369:m997. [PMID: 32345662 PMCID: PMC7186854 DOI: 10.1136/bmj.m997] [Citation(s) in RCA: 937] [Impact Index Per Article: 187.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
OBJECTIVE To assess the prevalence of diabetes and its risk factors. DESIGN Population based, cross sectional study. SETTING 31 provinces in mainland China with nationally representative cross sectional data from 2015 to 2017. PARTICIPANTS 75 880 participants aged 18 and older-a nationally representative sample of the mainland Chinese population. MAIN OUTCOME MEASURES Prevalence of diabetes among adults living in China, and the prevalence by sex, regions, and ethnic groups, estimated by the 2018 American Diabetes Association (ADA) and the World Health Organization diagnostic criteria. Demographic characteristics, lifestyle, and history of disease were recorded by participants on a questionnaire. Anthropometric and clinical assessments were made of serum concentrations of fasting plasma glucose (one measurement), two hour plasma glucose, and glycated haemoglobin (HbA1c). RESULTS The weighted prevalence of total diabetes (n=9772), self-reported diabetes (n=4464), newly diagnosed diabetes (n=5308), and prediabetes (n=27 230) diagnosed by the ADA criteria were 12.8% (95% confidence interval 12.0% to 13.6%), 6.0% (5.4% to 6.7%), 6.8% (6.1% to 7.4%), and 35.2% (33.5% to 37.0%), respectively, among adults living in China. The weighted prevalence of total diabetes was higher among adults aged 50 and older and among men. The prevalence of total diabetes in 31 provinces ranged from 6.2% in Guizhou to 19.9% in Inner Mongolia. Han ethnicity had the highest prevalence of diabetes (12.8%) and Hui ethnicity had the lowest (6.3%) among five investigated ethnicities. The weighted prevalence of total diabetes (n=8385) using the WHO criteria was 11.2% (95% confidence interval 10.5% to 11.9%). CONCLUSION The prevalence of diabetes has increased slightly from 2007 to 2017 among adults living in China. The findings indicate that diabetes is an important public health problem in China.
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Affiliation(s)
- Yongze Li
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, First Hospital of China Medical University, 155 Nanjing Bei Street, Shenyang, 110001, Liaoning, China
| | - Di Teng
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, First Hospital of China Medical University, 155 Nanjing Bei Street, Shenyang, 110001, Liaoning, China
| | - Xiaoguang Shi
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, First Hospital of China Medical University, 155 Nanjing Bei Street, Shenyang, 110001, Liaoning, China
| | - Guijun Qin
- Division of Endocrinology, Department of Internal Medicine, First Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
| | - Yingfen Qin
- Department of Endocrinology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Huibiao Quan
- Department of Endocrinology, Hainan General Hospital, Haikou, Hainan, China
| | - Bingyin Shi
- Department of Endocrinology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi, China
| | - Hui Sun
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jianming Ba
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, China
| | - Bing Chen
- Department of Endocrinology, Southwest Hospital, Third Military Medical University, Chongqing, China
| | - Jianling Du
- Department of Endocrinology, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Lanjie He
- Department of Endocrinology, Cardiovascular and Cerebrovascular Disease Hospital of Ningxia Medical University, Yinchuan, Ningxia, P.R. China, 750004
| | - Xiaoyang Lai
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Yanbo Li
- Department of Endocrinology, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Haiyi Chi
- Department of Endocrinology, Hohhot First Hospital, Hohhot, Inner Mongolia, China
| | - Eryuan Liao
- Department of Endocrinology and Metabolism, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Chao Liu
- Research Centre of Endocrine and Metabolic Diseases, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Libin Liu
- Department of Endocrinology and Metabolism, Fujian Institute of Endocrinology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Xulei Tang
- Department of Endocrinology, First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Nanwei Tong
- Department of Endocrinology and Metabolism, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Guixia Wang
- Department of Endocrinology and Metabolism, First Hospital of Jilin University, Changchun, Jilin, China
| | - Jin-An Zhang
- Department of Endocrinology, Shanghai University of Medicine and Health Science Affiliated Zhoupu Hospital, Shanghai, China
| | - Youmin Wang
- Department of Endocrinology, First Hospital of An Hui Medical University, Hefei, Anhui, China
| | - Yuanming Xue
- Department of Endocrinology, First People's Hospital of Yunnan Province, Kunming, Yunnan, China
| | - Li Yan
- Department of Endocrinology and Metabolism, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Jing Yang
- Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Lihui Yang
- Department of Endocrinology and Metabolism, People's Hospital of Tibet Autonomous Region, Lhasa, Tibet, China
| | - Yongli Yao
- Department of Endocrinology, Qinghai Provincial People's Hospital, Xining, Qinghai, China
| | - Zhen Ye
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Qiao Zhang
- Department of Endocrinology and Metabolism, Affiliated Hospital of Guiyang Medical University, Guiyang, Guizhou, China
| | - Lihui Zhang
- Department of Endocrinology, Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Jun Zhu
- Department of Endocrinology, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Mei Zhu
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, China
| | - Guang Ning
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, Rui-Jin Hospital affiliated with Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yiming Mu
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, China
| | - Jiajun Zhao
- Department of Endocrinology, Shandong Provincial Hospital affiliated with Shandong University, Jinan, Shandong, China
| | - Weiping Teng
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, First Hospital of China Medical University, 155 Nanjing Bei Street, Shenyang, 110001, Liaoning, China
| | - Zhongyan Shan
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, First Hospital of China Medical University, 155 Nanjing Bei Street, Shenyang, 110001, Liaoning, China
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The Role of Collaborative Healthcare in Improving Social Sustainability: A Conceptual Framework. SUSTAINABILITY 2020. [DOI: 10.3390/su12083195] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Healthcare systems around the world face both increasing demands and inequality in service distribution. The current trend is for collaboration among healthcare actors, named as collaborative healthcare, in order to address challenges such as these to improve the social sustainability of the system. That is to provide accessible and equitable healthcare services to meet people’s health and well-being needs. Based on an integrative literature review, this study aims at crafting a conceptual framework to explore how collaborative healthcare networks contribute to social sustainability and the specific actors involved in these collaborations. It identifies relationships between different collaborative healthcare networks and social sustainability. Interprofessional networks have been the most studied in relation to social sustainability. Communication and sharing information or knowledge have been identified as used collaborative healthcare practices. This study contributes theoretically by considering a new model of the healthcare organization in which collaborative networks play a central role in improving social sustainability. In terms of practical implications, the study provides managers and policy makers with investment insights on a range of collaborative networks and practices.
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Huo L, Zhang G, Du XD, Jia Q, Qian ZK, Chen D, Xiu M, Wu F, Soares JC, Huang X, Cassidy RM, Ning Y, Zhang XY. The prevalence, risk factors and clinical correlates of diabetes mellitus in Chinese patients with schizophrenia. Schizophr Res 2020; 218:262-266. [PMID: 31987695 DOI: 10.1016/j.schres.2019.12.029] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 12/21/2019] [Indexed: 01/19/2023]
Abstract
Diabetes is one of the most common comorbid diseases in patients with schizophrenia. The present study examined the prevalence of diabetes and its clinical correlates in a large sample of Chinese patients with schizophrenia, which has not been examined systemically. In this cross-sectional study, a total of 1189 patients (males/females = 938/251; average age: 48.51 ± 10.09 years) were recruited. Fasting blood samples were collected to diagnose diabetes. Psychiatric symptoms were measured with the Positive and Negative Syndrome Scale (PANSS). The prevalence of diabetes was 12.53% with a significant gender difference (males: 10.87% versus females: 18.73%). Compared to patients without diabetes, those with diabetes were older, had a later age of onset, had a higher BMI, had higher positive symptom scores and had higher level of metabolic indices, including triglyceride, cholesterol and HDL cholesterol. After stepwise binary logistic regression analysis, age, BMI, and triglyceride level remained significantly associated with diabetes. This study suggests that diabetes occur with high prevalence in Chinese schizophrenia patients. In addition, age, BMI, and triglyceride level possibly are useful markers predicting an increased risk for diabetes.
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Affiliation(s)
- Lijuan Huo
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Guangya Zhang
- Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu Province, China
| | - Xiang-Dong Du
- Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu Province, China
| | - Qiaqiufang Jia
- Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu Province, China
| | - Zheng-Kang Qian
- Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu Province, China
| | - Dachun Chen
- Beijing HuilongGuan Hosptial, Beijing, China
| | - Meihong Xiu
- Beijing HuilongGuan Hosptial, Beijing, China
| | - Fengchun Wu
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Jair C Soares
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Xingbing Huang
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Ryan M Cassidy
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yuping Ning
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China.
| | - Xiang Yang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China; Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China; Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA.
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Wu WC, Lai YW, Chou YC, Liao YC, You SL, Bai CH, Sun CA. Serum Uric Acid Level as a Harbinger of Type 2 Diabetes: A Prospective Observation in Taiwan. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17072277. [PMID: 32231029 PMCID: PMC7178124 DOI: 10.3390/ijerph17072277] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 03/24/2020] [Accepted: 03/25/2020] [Indexed: 12/14/2022]
Abstract
Background: Current evidence suggests an association of uric acid with diabetes risk, but it is still unclear whether uric acid is merely a risk marker or an independent risk factor. We evaluate the impact of serum uric acid (SUA) levels on the future risk of developing type 2 diabetes, independent of other factors. Methods: A population-based cohort study was conducted among 4130 participants who were found to be free of type 2 diabetes at baseline recruitment in 2002. Baseline SUA measured in 2002 was longitudinally related to the incident type 2 diabetes that occurred during the follow-up period between 2002 and 2007. Hazard ratios (HRs) and 95% confidence intervals (CIs) derived from Cox proportional hazards models were used to quantify the association. Results: There was a graded increase in the incidence of type 2 diabetes among individuals with increasing levels of SUA. In the whole study cohort, compared to quartile 1, the multivariable-adjusted HRs (95% CIs) of type 2 diabetes in quartile 2, quartile 3, and quartile 4 were 1.69 (0.76–3.76), 1.86 (0.88–4.26), and 1.94 (1.05–4.05), respectively (P for trend = 0.004). This positive gradient for the risk of type 2 diabetes across quartiles of SUA was evident in both genders and across age groups. Conclusions: This study supports that high uric acid concentrations are associated with increased diabetes risk, independent of other known risk factors. These data expand on well-established associations between SUA level and metabolic syndrome, and extend the link to the future risk of type 2 diabetes.
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Affiliation(s)
- Wen-Chih Wu
- School of Public Health, National Defense Medical Center, Taipei City 114, Taiwan; (W.-C.W.); (Y.-C.C.); (Y.-C.L.)
- Department of Surgery, Suao and Yuanshan branches of Taipei Veterans General Hospital, Yilan County 270, Taiwan
| | - Yen-Wen Lai
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan;
| | - Yu-Ching Chou
- School of Public Health, National Defense Medical Center, Taipei City 114, Taiwan; (W.-C.W.); (Y.-C.C.); (Y.-C.L.)
| | - Yu-Chan Liao
- School of Public Health, National Defense Medical Center, Taipei City 114, Taiwan; (W.-C.W.); (Y.-C.C.); (Y.-C.L.)
| | - San-Lin You
- Department of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan;
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan
| | - Chyi-Huey Bai
- School of Public Health, College of Public Health and Nutrition, Taipei Medical University, Taipei City 110, Taiwan;
| | - Chien-An Sun
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan;
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan
- Correspondence: ; Tel.: +02-29053432
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Du GL, Luo JY, Wang D, Li YH, Fang BB, Li XM, Gao XM, Yang YN. MIF gene rs755622 polymorphism positively associated with acute coronary syndrome in Chinese Han population: case-control study. Sci Rep 2020; 10:140. [PMID: 31924846 PMCID: PMC6954175 DOI: 10.1038/s41598-019-56949-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Accepted: 12/16/2019] [Indexed: 12/23/2022] Open
Abstract
Macrophage migration inhibitory factor (MIF) has been recognized as a major player in the pathogenesis of atherosclerosis. This study determined the association between polymorphisms of MIF gene and acute coronary syndrome (ACS). The polymorphism of MIF gene (rs755622, rs1007888 and rs2096525) was analyzed in 1153 healthy controls and 699 ACS cases in Chinese Han population. Plasma MIF level was also measured in part of ACS patients (139/19.9%) and healthy controls (129/11.2%) randomly. Most participants including healthy controls and ACS patients carried rs755622 GG (63.1% vs. 56.7%) and CG genotypes (33.1% vs. 38.9%) and G allele of rs755622 (79.6% vs. 76.1%, respectively), while CC genotype (3.8% vs. 4.4%) and C allele (20.4% vs. 23.9%) carriers were the lowest. Multivariate logistic regression analysis showed that carriers with rs755622 C allele had a higher risk of ACS compared to other genotypes (AOR = 1.278, 95% CI: 1.042-1.567). In addition, CC genotype carriers had the highest plasma levels of MIF than other genotype carriers. The MIF level in ACS patients with CC genotype was significantly higher than ACS patients carrying GG genotype and healthy controls carrying 3 different genotypes of MIF gene rs755622. Our findings indicate that MIF gene rs755622 variant C allele is associated with increased risk of ACS. Identification of this MIF gene polymorphism may help for predicting the risk of ACS.
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Affiliation(s)
- Guo-Li Du
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.,Department of Endocrinology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.,Xinjiang Key Laboratory of Medical Animal Model Research, Urumqi, China
| | - Jun-Yi Luo
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.,Xinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi, China
| | - Duolao Wang
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, L3 5QA, United Kingdom
| | - Yan-Hong Li
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.,Xinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi, China.,Department of Clinical Laboratory, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Bin-Bin Fang
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.,Xinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi, China
| | - Xiao-Mei Li
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China. .,Xinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi, China.
| | - Xiao-Ming Gao
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China. .,Xinjiang Key Laboratory of Medical Animal Model Research, Urumqi, China. .,Xinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi, China.
| | - Yi-Ning Yang
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China. .,Xinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi, China.
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Li HL, Fang J, Zhao LG, Liu DK, Wang J, Han LH, Xiang YB. Personal Characteristics Effects on Validation of Self-reported Type 2 Diabetes From a Cross-sectional Survey Among Chinese Adults. J Epidemiol 2019; 30:516-521. [PMID: 31656244 PMCID: PMC7557172 DOI: 10.2188/jea.je20190178] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Background The objective was to evaluate the effects of personal characteristics on the validation of self-reported type 2 diabetes among Chinese adults in urban Shanghai. Methods During 2015 through 2016, 4,322 participants were recruited in this validation study. We considered the criteria of diabetes verification to use the laboratory assays of fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), or self-reported use of diabetic medication. Results When taking diabetic medication or FPG ≥7.0 mmol/L was as identified diabetes, the measurements of sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and Kappa value of self-reported diabetes were 72.0%, 99.2%, 95.1%, 93.9%, and 0.78, respectively. If an additional HbA1c test was used for 708 subjects (aged <65 years), slightly lower values of sensitivity, NPV, and Kappa were observed. More potential diabetes cases were found compared to only using FPG. Subjects who were female, older, or had a family history of diabetes had sensitivity over 75% and excellent Kappa over 0.8, while the sensitivity and Kappa of opposite groups had poorer values. Specificity, PPV, and NPV were similar among groups with different demographic or disease characteristics. The prevalence of type 2 diabetes was 19.3% in the study (14.1% diagnosed diabetes, 5.2% undiagnosed diabetes). About 26.2% of subjects were pre-diabetic. Additional HbA1c test indicated an increased prevalence of undiagnosed diabetes and pre-diabetes. Conclusions Findings support self-reported diabetes is sufficiently valid to be used in large-scale, population-based epidemiologic studies. Participants with different characteristics may have different indicators in terms of validation, such as age, gender, and family history of diabetes in first-degree relatives.
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Affiliation(s)
- Hong-Lan Li
- State Key Laboratory of Oncogenes and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine
| | - Jie Fang
- State Key Laboratory of Oncogenes and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine
| | - Long-Gang Zhao
- State Key Laboratory of Oncogenes and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine
| | - Da-Ke Liu
- State Key Laboratory of Oncogenes and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine
| | - Jing Wang
- State Key Laboratory of Oncogenes and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine
| | - Li-Hua Han
- State Key Laboratory of Oncogenes and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogenes and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine
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Xiao Y, Shao XT, Tan DQ, Yan JH, Pei W, Wang Z, Yang M, Wang DG. Assessing the trend of diabetes mellitus by analyzing metformin as a biomarker in wastewater. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 688:281-287. [PMID: 31229825 DOI: 10.1016/j.scitotenv.2019.06.117] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2019] [Revised: 06/06/2019] [Accepted: 06/07/2019] [Indexed: 06/09/2023]
Abstract
According to International Diabetes Federation estimates, China has the highest rate of diabetes in the world. To monitor the prevalence of diabetes mellitus (DM) in near real-time, a first-line medication for the treatment of type 2 diabetes, metformin, was used. Wastewater-based epidemiology (WBE) was applied to estimate the consumption of metformin in Dalian from 2015 to 2018. Quantification of metformin was undertaken using solid-phase extraction (SPE) and N-methyl-bis (trifluoroacetamide) derivatization prior to GC-MS analysis. The concentrations of metformin in eleven wastewater treatment plants (WWTPs) ranged from 1.7 μg/L to 239.0 μg/L, with an average value of 68.3 μg/L. For metformin consumption, there was a gradual increase from 12.1 mg/d/capita in 2015 to 28.4 mg/d/capita in 2018. Meanwhile, the prevalence of metformin in the Dalian population ranged from 1.6% in 2015 to 3.8% in 2018. Similarly, the prevalence of DM showed an increasing trend from 12.2% in 2015 to 21.6% in 2018, which is consistent with the data predicted by traditional surveys (15.2-19.8%). Additionally, the prevalence of DM in 2015 estimated based on WBE was 12.2%, which agreed with the results from the traditional survey (12.3%). These results indicated that the proposed method provided a feasible way to reveal the prevalence of DM through metformin monitoring by the WBE approach.
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Affiliation(s)
- Yang Xiao
- College of Environmental Science and Engineering, Dalian Maritime University, No.1 Linghai Road, Dalian, Liaoning 116026, China
| | - Xue-Ting Shao
- College of Environmental Science and Engineering, Dalian Maritime University, No.1 Linghai Road, Dalian, Liaoning 116026, China
| | - Dong-Qin Tan
- College of Environmental Science and Engineering, Dalian Maritime University, No.1 Linghai Road, Dalian, Liaoning 116026, China.
| | - Ji-Hao Yan
- College of Environmental Science and Engineering, Dalian Maritime University, No.1 Linghai Road, Dalian, Liaoning 116026, China
| | - Wei Pei
- College of Environmental Science and Engineering, Dalian Maritime University, No.1 Linghai Road, Dalian, Liaoning 116026, China
| | - Zhuang Wang
- Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, 219 Ningliu Road, Nanjing 210044, China
| | - Meng Yang
- Dalian Environmental Monitoring Center, 58 Lianshan Street, Shahekou District 116023, China
| | - De-Gao Wang
- College of Environmental Science and Engineering, Dalian Maritime University, No.1 Linghai Road, Dalian, Liaoning 116026, China.
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Hird TR, Zomer E, Owen A, Chen L, Ademi Z, Magliano DJ, Liew D. The impact of diabetes on productivity in China. Diabetologia 2019; 62:1195-1203. [PMID: 31030220 DOI: 10.1007/s00125-019-4875-4] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 03/25/2019] [Indexed: 12/22/2022]
Abstract
AIMS/HYPOTHESIS Diabetes increases the risk of premature death and reduces work productivity. We estimated the impact of diabetes in China in terms of mortality, years of life lost, and productivity-adjusted life years (PALYs) lost in the Chinese population. METHODS Life table modelling was used with simulated follow-up of those with diabetes in the Chinese population of working age (20-49 years in women and 20-59 years in men) until retirement age (50 years for women and 60 years for men). Data regarding the prevalence of diabetes, as well as excess mortality, labour force dropout and productivity loss attributable to diabetes, were taken from published sources. Models were constructed for the cohort with diabetes and repeated for the same cohort assuming that they had no diabetes. The differences in number of deaths, years of life lived and PALYs lived between the two models reflected the impact of diabetes. The WHO standard 3% annual discount rate was applied to years of life and PALYs lived. RESULTS In 2017, an estimated 56.4 million people of working age in China (7.1%) had diabetes. With simulated follow-up until retirement, those with diabetes were predicted to experience an estimated 4.1 million more deaths, the loss of an additional 22.7 million years of life (3.7%) and the loss of an additional 75.8 million PALYs (15.1%). This was equivalent to an average of 1.3 PALYs lost per person with diabetes. Based on gross domestic product (GDP) per full-time worker in 2017, the loss in PALYs equated to a total of Chinese ¥17.4 trillion (US$2.6 trillion) in lost GDP owing to reduced productivity, with an average of ¥307,925 (US$45,959) lost per person with diabetes. CONCLUSIONS/INTERPRETATION Our study demonstrates the significant cumulative impact of diabetes on productivity across the working lifetime in the Chinese population, highlighting the potential economic benefits of diabetes prevention in the longer term.
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Affiliation(s)
- Thomas R Hird
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC, 3004, Australia.
- Department of Clinical Diabetes and Epidemiology, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
| | - Ella Zomer
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC, 3004, Australia
| | - Alice Owen
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC, 3004, Australia
| | - Lei Chen
- Department of Clinical Diabetes and Epidemiology, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Zanfina Ademi
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC, 3004, Australia
| | - Dianna J Magliano
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC, 3004, Australia
- Department of Clinical Diabetes and Epidemiology, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Danny Liew
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC, 3004, Australia
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Time-Dependent Changes of Urethral Function in Diabetes Mellitus: A Review. Int Neurourol J 2019; 23:91-99. [PMID: 31260608 PMCID: PMC6606940 DOI: 10.5213/inj.1938050.025] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 03/04/2019] [Indexed: 12/12/2022] Open
Abstract
This article reviewed the current knowledge on time-course manifestation of diabetic urethral dysfunction (DUD), and explored an early intervention target to prevent the contribution of DUD to the progression of diabetes-induced impairment of the lower urinary tract (LUT). In the literature search through PubMed, key words used included “diabetes mellitus,” “diabetic urethral dysfunction,” and “diabetic urethropathy.” Polyuria and hyperglycemia induced by diabetes mellitus (DM) can cause the time-dependent changes in functional and morphological manifestations of DUD. In the early stage, it promotes urethral dysfunction characterized by increased urethral pressure during micturition. However, the detrusor muscle of the bladder tries to compensate for inducing complete voiding by increasing the duration and amplitude of bladder contractions. As the disease progresses, it can induce an impairment of coordinated micturition due to dyssynergic activity of external urethra sphincter, leading to detrusor-sphincter dyssynergia. The impairment of relaxation mechanisms of urethral smooth muscles (USMs) may additionally be attributable to decreased responsiveness to nitric oxide, as well as increased USM responsiveness to α1-adrenergic receptor stimulation. In the late stage, diabetic neuropathy may play an important role in inducing LUT dysfunction, showing that the decompensation of the bladder and urethra, which can cause the decrease of voiding efficiency and the reduced thickness of the urothelium and the atrophy of striated muscle bundles, possibly leading to the vicious cycle of the LUT dysfunction. Further studies to increase our understandings of the functional and molecular mechanisms of DUD are warranted to explore potential targets for therapeutic intervention of DM-induced LUT dysfunction.
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Cheng Y, Yin H, Zheng H, Yin D, Yin G, Ying S, Li X, Dai H, Zhao L, Shen C, Shen Z, Gu L. Time trend of cardiometabolic risk factors over a 10-year period in the office-working population in China. BMJ Open 2019; 9:e025915. [PMID: 31154304 PMCID: PMC6549710 DOI: 10.1136/bmjopen-2018-025915] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
OBJECTIVES Recent dramatic increases in cardiovascular disease mortality in China can be mostly explained by adverse changes in hypertension, dyslipidaemia, diabetes and obesity, known as cardiometabolic risk factors. Our study aimed to assess the trend of these four signatures by a 10-year lag in Nanjing, China. METHODS 8017 subjects attended the routine health examination in 2008, and 9379 subjects in 2017, from multiple work units of Nanjing, were included in the present study. The prevalence and trend of four cardiometabolic risk factors: hypertension, dyslipidaemia, diabetes and obesity were analysed. RESULTS From 2008 to 2017, the prevalence of hypertension declined, while the prevalence of dyslipidaemia, diabetes and obesity increased. Besides, the population in 2008 and 2017 had an average of 0.66 and 0.78 risk factors, respectively. CONCLUSION Cardiometabolic risk factors are common for the staff in administrative agencies and institutions of Nanjing, China. Effective screening and interventions against these risk factors should be adopted in high-risk populations such as the office-working population in China.
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Affiliation(s)
- Yang Cheng
- Center for Health Management, Geriatric Hospital of Nanjing Medical University, Nanjing, China
| | - Hongli Yin
- Center for Health Management, Geriatric Hospital of Nanjing Medical University, Nanjing, China
| | - Hui Zheng
- Center for Health Management, Geriatric Hospital of Nanjing Medical University, Nanjing, China
| | - Donghua Yin
- Center for Health Management, Geriatric Hospital of Nanjing Medical University, Nanjing, China
| | - Gang Yin
- Center for Health Management, Geriatric Hospital of Nanjing Medical University, Nanjing, China
| | - Shanping Ying
- Center for Health Management, Geriatric Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaohong Li
- Center for Health Management, Geriatric Hospital of Nanjing Medical University, Nanjing, China
| | - Hui Dai
- Center for Health Management, Geriatric Hospital of Nanjing Medical University, Nanjing, China
| | - Lvkun Zhao
- Center for Health Management, Geriatric Hospital of Nanjing Medical University, Nanjing, China
| | - Chong Shen
- Division of Clinical Epidemiology, Geriatric Hospital of Nanjing Medical University, Nanjing, China
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Zhixiang Shen
- Center for Health Management, Geriatric Hospital of Nanjing Medical University, Nanjing, China
| | - Liubao Gu
- Division of Clinical Epidemiology, Geriatric Hospital of Nanjing Medical University, Nanjing, China
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Zuo P, Shi J, Yan J, Yang L, Liu C, Yuan L, Lou Q. Effects of Insulin Therapy and Oral Hypoglycemic Agents on Glycemic Control for Type 2 Diabetes Mellitus Patients in China-A Case Control Study. Exp Clin Endocrinol Diabetes 2019; 129:374-378. [PMID: 30959531 DOI: 10.1055/a-0881-9611] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
OBJECTIVE The purpose of the study was to compare glycemic control in patients with type 2 diabetes (T2DM) receiving insulin therapy (IT) or oral hypoglycemic agents (OHA), and explore associations between treatment modality and pancreatic beta-cell function. METHODS A matched, case-control study was conducted from April, 2016 to November, 2016. 2 272 patients with T2DM were identified from electronic medical records at four academic hospitals in China. Based on 1 136 eligible patients using IT, eligible 1 136 OHA patients were matched by age and duration at a ratio of 1:1. Logistic regression was used to examine the relationship between IT and glycemic control. Multiple linear regression addressed impact factors of HOMA-β. RESULTS There was no significant difference between IT and OHA groups in gender, age, diabetes duration, body mass index (BMI), fasting plasma glucose (FPG), systolic blood pressure (SBP), serum lipids and smoking history (p>0.05). We stratified subjects by diabetes duration, only when the duration was less than 5 years, HbA1c in OHA group was superior to IT (P=0.017). There were no significant differences between groups in HbA1c when disease duration was≥5 years. Even in subjects with short diabetes duration (<5 years), IT did not significantly impact glycemic control (p=0.071, OR=0.577). Multiple linear regression analysis showed that IT (p=0.001), diabetes duration (p=0.038), BMI (P<0.001), sulfonylurea use (P=0.001) were significant and independent predictors of HOMA-β. CONCLUSIONS In patients with short diabetes duration (<5 years), oral hypoglycemic therapy achieved better glycemic control than insulin therapy. Moreover, insulin use was not an impact factor of poor glycemic control. In addition, using insulin can protect beta-cell function.
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Affiliation(s)
- PanPan Zuo
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Qi Xia District, Nanjing, Jiangsu Province, China.,Jiangsu Province Academy of Traditional Chinese Medicine, Qi Xia District, Nanjing, Jiangsu Province, China.,Nursing College, Nanjing University of Chinese Medicine, Qi Xia District, Nanjing, Jiangsu Province, China
| | - JianFeng Shi
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Qi Xia District, Nanjing, Jiangsu Province, China.,Jiangsu Province Academy of Traditional Chinese Medicine, Qi Xia District, Nanjing, Jiangsu Province, China
| | - Juan Yan
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Qi Xia District, Nanjing, Jiangsu Province, China.,Jiangsu Province Academy of Traditional Chinese Medicine, Qi Xia District, Nanjing, Jiangsu Province, China.,Nursing College, Nanjing University of Chinese Medicine, Qi Xia District, Nanjing, Jiangsu Province, China
| | - LiHong Yang
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Qi Xia District, Nanjing, Jiangsu Province, China.,Jiangsu Province Academy of Traditional Chinese Medicine, Qi Xia District, Nanjing, Jiangsu Province, China.,Nursing College, Nanjing University of Chinese Medicine, Qi Xia District, Nanjing, Jiangsu Province, China
| | - Chao Liu
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Qi Xia District, Nanjing, Jiangsu Province, China.,Jiangsu Province Academy of Traditional Chinese Medicine, Qi Xia District, Nanjing, Jiangsu Province, China
| | - Li Yuan
- Department of Endocrinology, West China Hospital, West China School of Medicine, Sichuan University, Wuhou District, Chengdu, Sichuan Province, China
| | - QingQing Lou
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Qi Xia District, Nanjing, Jiangsu Province, China.,Jiangsu Province Academy of Traditional Chinese Medicine, Qi Xia District, Nanjing, Jiangsu Province, China
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Du W, Wang F, Zhao M, Zhang H, Zhang X, Zhao J, Gao L. Prevalence of thyroid disorders and associated risk factors with various glycemic status in North China. BIOTECHNOL BIOTEC EQ 2019. [DOI: 10.1080/13102818.2019.1656106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022] Open
Affiliation(s)
- Wenhua Du
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, PR China
- Department of Endocrinology, Linyi People’s Hospital, Linyi, Shandong, PR China
| | - Fei Wang
- Department of Endocrinology, Weifang People’s Hospital, Weifang, Shandong, PR China
| | - Meng Zhao
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, PR China
- Scientific Center, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, PR China
| | - Haiqing Zhang
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, PR China
- Scientific Center, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, PR China
| | - Xu Zhang
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, PR China
- Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, PR China
| | - Jiajun Zhao
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, PR China
- Scientific Center, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, PR China
| | - Ling Gao
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, PR China
- Scientific Center, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, PR China
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Abstract
Although type 2 diabetes is a disease often associated with aging, the global prevalence of early-onset diabetes has been increasing due to man's sedentary lifestyle, low-physical activity, obesity, and some nonmodifiable risk factors. Many studies have found that individuals with early-onset type 2 diabetes were at higher risk of developing vascular complications than those with late-onset diabetes. Individuals with early-onset diabetes are usually unwilling to visit hospital and have more confidence in their health, which results in poor glycemic control and the delayed detection of diabetes-related complications. Few studies have focused on the treatment and prevention of complications in specific population of individuals with early-onset type 2 diabetes. Therefore, focusing on this particular population is critical for the government and academic societies. Screening for T2DM is imminent for young adults with a family history of diabetes, obesity, markers of insulin resistance, or alcohol consumption. More data are definitely required to establish a reasonable risk model to screen for early-onset diabetes.
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Affiliation(s)
- Jiemin Pan
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai, 200233, China
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai, 200233, China.
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Associations between Aquaglyceroporin Gene Polymorphisms and Risk of Type 2 Diabetes Mellitus. BIOMED RESEARCH INTERNATIONAL 2018; 2018:8167538. [PMID: 30598999 PMCID: PMC6288565 DOI: 10.1155/2018/8167538] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Accepted: 09/24/2018] [Indexed: 12/11/2022]
Abstract
Objectives AQP7 and AQP9 represent glycerol channel in adipose tissue and liver and have been associated with metabolic diseases. We aimed to investigate the associations between genetic variants in AQP7 and AQP9 genes and the risk of type 2 diabetes (T2DM) in Chinese population. Methods Blood samples were drawn from 400 T2DM patients and 400 age- and gender-matched controls. Genomic DNA was extracted by proteinase K digestion and phenol–chloroform extraction. Genotyping of 5 single nucleotide polymorphisms (SNPs) in AQP7 (rs2989924, rs3758269, and rs62542743) and AQP9 (rs57139208, rs16939881) was performed by the polymerase chain reaction assay with TaqMan probes. Results The subjects with rs2989924 GA+AA genotypes had 1.47-fold increased risk of T2DM (odds ratio [OR] 1.47, 95% confidence interval [CI] 1.06-2.04), compared to those with GG genotype, and this association remained significant after adjustment for covariates (OR 1.66, 95% CI 1.07-2.57). When compared with rs3758269 CC genotype, the subjects with CT+TT genotypes had 45% decreased T2DM risk after multivariate adjustment (OR 0.55, 95% CI 0.35-0.85). The associations were evident in elder and overweight subjects and those with central obesity. No association was observed between AQP9 SNPs and T2DM risk. Conclusions AQP7 SNP rs2989924 and rs3758269 were associated with T2DM risk in Chinese Han population.
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Zhou J, Sheng J, Fan Y, Zhu X, Wang S. Dietary patterns, dietary intakes and the risk of type 2 diabetes: results from the Hefei Nutrition and Health Study. Int J Food Sci Nutr 2018; 70:412-420. [DOI: 10.1080/09637486.2018.1515184] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Affiliation(s)
- Jielin Zhou
- Department of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Hefei, China
| | - Jie Sheng
- Anhui Provincial Laboratory of Population Health and Eugenics, School of Public Health, Anhui Medical University, Hefei, China
| | - Yong Fan
- Department of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Hefei, China
| | - Xingmeng Zhu
- Department of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Hefei, China
| | - Sufang Wang
- Department of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Hefei, China
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Zhang FL, Xing YQ, Guo ZN, Wu YH, Liu HY, Yang Y. Prevalence and risk factors for diabetes and impaired fasting glucose in Northeast China: Results from the 2016 China National Stroke Screening Survey. Diabetes Res Clin Pract 2018; 144:302-313. [PMID: 30217593 DOI: 10.1016/j.diabres.2018.09.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2017] [Revised: 08/16/2018] [Accepted: 09/05/2018] [Indexed: 11/20/2022]
Abstract
AIMS To explore the current prevalence and risk factors for diabetes and impaired fasting glucose in Northeast China. METHODS This study adopted the multistage stratified random cluster sampling method to obtain a representative sample of adults aged 40 years or older in Dehui City, Jilin Province, Northeast China. Diabetes and impaired fasting glucose were defined according to the 1999 World Health Organization criteria. RESULTS A total of 4052 participants were included, with prevalence of diabetes in Northeast China of 11.2% (95% confidence interval [CI], 10.1-12.4%); that of diagnosed, 5.9% (95% CI, 5.1-6.8%); and that of impaired fasting glucose, 6.9% (95% CI, 6.0-8.0%). Among them, 52.9% were aware of their condition, 47.7% were receiving antidiabetic medication, and 75.9% had their diabetes controlled. Rural residents were more likely to have diabetes but were less inclined to be aware of and report antidiabetic treatment and to have their diabetes controlled than urban residents. CONCLUSION Diabetes and impaired fasting glucose were highly prevalent among adults in Northeast China. However, awareness and treatment rates remained relatively low compared with those of developed countries. Health policymakers should put more basic medical and healthcare into rural areas in the future.
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Affiliation(s)
- Fu-Liang Zhang
- Stroke Center, Neuroscience Center, Department of Neurology, the First Hospital of Jilin University, Chang Chun, Jilin 130021, China.
| | - Ying-Qi Xing
- Center for Neurovascular Ultrasound, Department of Neurology, the First Hospital of Jilin University, Chang Chun, Jilin 130021, China.
| | - Zhen-Ni Guo
- Clinical Trail and Research Center for Stroke, Department of Neurology, the First Hospital of Jilin University, Chang Chun, Jilin 130021, China
| | - Yan-Hua Wu
- Division of Clinical Research, the First Hospital of Jilin University, Chang Chun, Jilin 130021, China
| | - Hao-Yuan Liu
- Stroke Center, Neuroscience Center, Department of Neurology, the First Hospital of Jilin University, Chang Chun, Jilin 130021, China
| | - Yi Yang
- Stroke Center, Neuroscience Center, Department of Neurology, the First Hospital of Jilin University, Chang Chun, Jilin 130021, China; Clinical Trail and Research Center for Stroke, Department of Neurology, the First Hospital of Jilin University, Chang Chun, Jilin 130021, China.
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Wu Z, Jin T, Weng J. A thorough analysis of diabetes research in China from 1995 to 2015: current scenario and future scope. SCIENCE CHINA-LIFE SCIENCES 2018; 62:46-62. [DOI: 10.1007/s11427-018-9377-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Accepted: 07/26/2018] [Indexed: 12/16/2022]
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45
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Ghayeghran A, Hashemi ST, Razzagh A, Salehi S. The Prevalence of Diabetes Mellitus in Patients With Migraine: A Cross-Sectional Study in Iran. CASPIAN JOURNAL OF NEUROLOGICAL SCIENCES 2018. [DOI: 10.29252/cjns.4.14.128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
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46
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Noreen Z, DeJesus J, Bhatti A, Loffredo CA, John P, Khan JS, Nunlee-Bland G, Ghosh S. Epidemiological Investigation of Type 2 Diabetes and Alzheimer's Disease in a Pakistani Population. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:E1582. [PMID: 30049934 PMCID: PMC6122092 DOI: 10.3390/ijerph15081582] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 07/19/2018] [Accepted: 07/23/2018] [Indexed: 01/01/2023]
Abstract
The epidemic of type 2 diabetes mellitus (T2DM) and the possibility of it contributing to the risk of Alzheimer's disease (AD) have become important health concerns worldwide and in Pakistan, where the co-occurrence of T2DM and AD is becoming more frequent. To gain insights on this phenomenon, a cross-sectional study was initiated. We recruited and interviewed 820 research participants from four cities in Pakistan: 250 controls, 450 T2DM, 100 AD, and 20 with both diseases. Significant differences between groups were observed for age (p < 0.0001), urban vs. rural locality (p = 0.0472) and residing near industrial areas. The average HbA1c (%) level was 10.68 ± 2.34 in the T2DM group, and females had a lower level than males (p = 0.003). In the AD group, significant relationships existed between education and family history. Overall, the results suggest that T2DM and AD were associated with both socio-demographic and environmental factors in Pakistani participants. Detailed molecular investigations are underway in our laboratory to decipher the differential genetic pathways of the two diseases to address their increasing prevalence in this developing nation.
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Affiliation(s)
- Zarish Noreen
- Department of Biology, Howard University, Washington, DC 20059, USA.
- Department of Healthcare Biotechnology, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan.
| | - Jessica DeJesus
- Departments of Oncology and of Biostatistics, Georgetown University, Washington, DC 20057, USA.
| | - Attya Bhatti
- Department of Healthcare Biotechnology, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan.
| | - Christopher A Loffredo
- Departments of Oncology and of Biostatistics, Georgetown University, Washington, DC 20057, USA.
| | - Peter John
- Department of Healthcare Biotechnology, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan.
| | - Jahangir S Khan
- Department of Surgery, Rawalpindi Medical College, Rawalpindi, Punjab 46000, Pakistan.
| | - Gail Nunlee-Bland
- Departments of Pediatrics and Child Health, College of Medicine, Howard University, Washington, DC 20059, USA.
| | - Somiranjan Ghosh
- Department of Biology, Howard University, Washington, DC 20059, USA.
- Departments of Pediatrics and Child Health, College of Medicine, Howard University, Washington, DC 20059, USA.
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47
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Cooper LB, Yap J, Tay WT, Teng THK, MacDonald M, Anand IS, Sharma A, O'Connor CM, Kraus WE, Mentz RJ, Lam CS. Multi-ethnic comparisons of diabetes in heart failure with reduced ejection fraction: insights from the HF-ACTION trial and the ASIAN-HF registry. Eur J Heart Fail 2018; 20:1281-1289. [PMID: 29943890 DOI: 10.1002/ejhf.1223] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Revised: 04/20/2018] [Accepted: 04/24/2018] [Indexed: 12/25/2022] Open
Abstract
AIM To describe differences in patient characteristics and outcomes by ethnicity in patients with diabetes mellitus (DM) and heart failure (HF) with reduced ejection fraction (HFrEF, ejection fraction ≤35%) in a multi-ethnic cohort. METHODS AND RESULTS Patient level data from two cohorts (HF-ACTION and ASIAN-HF) were combined, and patients grouped by self-reported ethnicity. DM was defined as the presence of a clinical diagnosis and/or receiving anti-diabetic therapy. A total of 6214 (1324 whites, 674 blacks, 1297 Chinese, 1510 Indians, 717 Malays, 692 Japanese/Koreans) patients were included. The overall prevalence of DM was 39.5% (n = 2454). The prevalence of DM was lowest in whites (29.3%), followed by Japanese/Koreans (34.1%), blacks (35.9%), Chinese (42.3%), Indians (44.2%), and highest in Malays (51.9%). The correlation between age, sex, body mass index, coronary artery disease, hypertension, atrial fibrillation, peripheral vascular disease and chronic kidney disease with DM differed significantly by ethnicity (P for interaction <0.05). The strongest correlations were seen in Malay women, whites with obesity, Indians with coronary artery disease and hypertension, and blacks with chronic kidney disease. On multivariable analyses, DM was significantly associated with the composite of 1-year overall mortality/HF hospitalization (hazard ratio 1.37, 95% confidence interval 1.19-1.57; P < 0.001), with no interaction by ethnicity (P for interaction =0.31). CONCLUSIONS There is marked heterogeneity in the prevalence and correlates of DM among different ethnic groups with HF worldwide. Subgroups particularly predisposed to DM warrant special attention, since DM increases the combined risk of morbidity and mortality in all ethnicities with HF.
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Affiliation(s)
- Lauren B Cooper
- Inova Heart and Vascular Institute, Falls Church, VA, USA.,Duke University Medical Center, Durham, NC, USA
| | | | | | | | | | | | - Abhinav Sharma
- Stanford University, Palo Alto, CA, USA.,University of Alberta, Edmonton, Alberta, Canada
| | - Christopher M O'Connor
- Inova Heart and Vascular Institute, Falls Church, VA, USA.,Duke University Medical Center, Durham, NC, USA
| | | | | | - Carolyn S Lam
- National Heart Centre Singapore, Singapore.,Duke-NUS Medical School, Singapore
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Abstract
The People's Republic of China (herein referred to as China) has witnessed one of the most dramatic rises in diabetes prevalence anywhere in the world. The latest epidemiological study suggests that approximately 11% of the population has diabetes, with a significant proportion remaining undiagnosed. Risk factors for diabetes in the Chinese population are similar to those in other populations, though gestational diabetes and young-onset diabetes is becoming increasingly common. Data on the prevalence of diabetic complications remain limited, though cardio-renal complications account for significant morbidity and mortality. Other diabetes-related comorbidities are becoming increasingly common, with cancer emerging as a major cause of mortality among individuals with diabetes. There are many challenges and obstacles that impede effective diabetes prevention and the delivery of care, though much progress has occurred over recent years. Lessons learnt from how China has responded to the challenges posed by the diabetes epidemic will be invaluable for other countries facing the many threats of diabetes and its complications.
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Affiliation(s)
- Ronald C W Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, New Territories, Hong Kong, Hong Kong Special Administrative Region, People's Republic of China.
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China.
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China.
- Chinese University of Hong Kong and Shanghai Jiao Tong University (CUHK-SJTU) Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China.
- NHMRC Clinical Trials Centre, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia.
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Cui J, Sun J, Wang W, Yasmeen N, Ke M, Xin H, Qiao Q, Ma A, Baloch Z. Triglycerides and total cholesterol concentrations in association with IFG/IGT in Chinese adults in Qingdao, China. BMC Public Health 2018; 18:444. [PMID: 29615002 PMCID: PMC5883258 DOI: 10.1186/s12889-018-5286-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Accepted: 03/08/2018] [Indexed: 02/05/2023] Open
Abstract
Background To investigative the association of triglycerides (TG) and total cholesterol (TC) concentrations with impaired fasting glucose/ impaired glucose tolerance (IFG/IGT) in Chinese adults. Methods The population-based cross-sectional diabetes survey was conducted in 2006 and 2009 in Qingdao, separately. 4400 participants (1 793 men and 2607 women) were include in current analysis. IFG/IGT was defined according to fasting plasma glucose (FPG) and/or 2 h post-load plasma glucose (2 h PG). Logistic regression models and areas under receiver operating characteristic curves (AUROC) were performed to estimate the associations between TG, TC levels and IFG/IGT. Results Spearman analysis showed that serum TG and TC was independently and positively associated with FPG and 2 h PG. As compared with normoglycaemia, the odds ratio[(95% confidence intervals), OR(95%CI)] for IFG/IGT corresponding to hypertriglyceridemia (HTG) were 1.61 (1. 17, 2. 22) in men and 1.57(1.15, 2.14) in women for TG and accompany with Hypercholesterolemia (HTC) 1.56 (1.15, 2.13) and 1. 20 (0.93, 1.54) for TC, when adjusting for confounding factor. The AUROCs of TG, TC for IFG/IGT were relatively smaller (0.50 < AUROC< 0. 7) in both gender. The optimal cut-offs for TG and TC was 1.61, 4.91 in men and 1. 24, 5. 32 in women, respectively. Conclusions Evaluated TG in both gender and TC in men were independently associated with the present of the IFG/IGT, yet, could not be an authentic predictors of IFG/IGT in both men and women in current Chinese population.
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Affiliation(s)
- Jing Cui
- School of Public Health of Qingdao University, No. 38 Dengzhou Road, Qingdao, 266021, China.,Qingdao Municipal Center for Disease Control and Prevention, Qingdao, 266033, China.,Qingdao Institute of Preventive Medicine, Qingdao, 266033, China
| | - Jianping Sun
- School of Public Health of Qingdao University, No. 38 Dengzhou Road, Qingdao, 266021, China.,Qingdao Municipal Center for Disease Control and Prevention, Qingdao, 266033, China.,Qingdao Institute of Preventive Medicine, Qingdao, 266033, China
| | - Wei Wang
- School of Public Health of Qingdao University, No. 38 Dengzhou Road, Qingdao, 266021, China.,Key Laboratory of Food Safety Risk Assessment, Ministry of Health, China National Center for food safety Risk Assessment, Beijing, 100021, China
| | - Nafeesa Yasmeen
- Institute of Microbiology, University of Agriculture, Faisalabad, Pakistan
| | - Ma Ke
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Hualei Xin
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao, 266033, China.,Qingdao Institute of Preventive Medicine, Qingdao, 266033, China
| | - Qing Qiao
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Aiguo Ma
- School of Public Health of Qingdao University, No. 38 Dengzhou Road, Qingdao, 266021, China. .,Qingdao Municipal Center for Disease Control and Prevention, Qingdao, 266033, China.
| | - Zulqarnain Baloch
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China.
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50
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Pan A, Lin X, Hemler E, Hu FB. Diet and Cardiovascular Disease: Advances and Challenges in Population-Based Studies. Cell Metab 2018; 27:489-496. [PMID: 29514062 PMCID: PMC5844273 DOI: 10.1016/j.cmet.2018.02.017] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Revised: 01/16/2018] [Accepted: 02/16/2018] [Indexed: 12/12/2022]
Abstract
In this Minireview, we provide an epidemiologist's perspective on the debate and recent advances in determining the relationship between diet and cardiovascular health. We conclude that, in order to reduce the global burden of cardiovascular disease, there should be a greater emphasis on improving overall diet quality and food sources of macronutrients, such as dietary fats and carbohydrates. In addition, building a strong evidence base through high-quality intervention and observational studies is crucial for effective policy changes, which can greatly improve the food environment and population health.
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Affiliation(s)
- An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province 430030, China.
| | - Xu Lin
- Key Laboratory of Nutrition and Metabolism, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Elena Hemler
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
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