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Choi D, Gujral UP, Patel SA. Mortality differentials by previous diagnosis of diabetes and glycemic status in the United States. J Diabetes Complications 2022; 36:108250. [PMID: 35905509 PMCID: PMC10420970 DOI: 10.1016/j.jdiacomp.2022.108250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 06/04/2022] [Accepted: 06/23/2022] [Indexed: 11/22/2022]
Abstract
AIMS This study examines mortality differences associated with current glycemic status in mortality by current glycemic status among adults with a previously diagnosed diabetes. Using previous clinical diagnosis of diabetes (diagnosed diabetes) and laboratory measures of hemoglobin A1c (HbA1c) measured at baseline, we estimated mortality differentials simultaneously by diagnosed diabetes and baseline glycemic status in the United States. METHODS Data were from 39,491 adults aged 30-84 years assessed in the National Health and Nutrition Examination Survey (NHANES) III and continuous NHANES 1999-2014 linked to mortality data. We categorized participants into four mutually exclusive groups based on diagnosed diabetes and glycemic control measured by HbA1c ≥6.5 % at baseline. Relative hazard ratio (HR) of all-cause death among these four groups were estimated using Cox proportional models. RESULTS There was no significant difference in mortality by glycemic control status among adults with diagnosed diabetes. The same finding was observed among adults without diagnosed diabetes. Adults with diagnosed diabetes had higher mortality than adults without diagnosed diabetes independent of their baseline glycemic control. CONCLUSIONS Once diagnosed with diabetes, US adults with normal- and hyper-glycemia showed no significant difference in all-cause mortality. This finding emphasizes the importance of primary prevention interventions among adults with a sign of early-stage diabetes.
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Affiliation(s)
- Daesung Choi
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
| | - Unjali P Gujral
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Shivani A Patel
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
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Zheng XY, Ma SL, Guan WJ, Xu YJ, Tang SL, Zheng YJ, Liao TT, Li C, Meng RL, Zeng ZP, Lin LF. Impact of polluting fuels for cooking on diabetes mellitus and glucose metabolism in south urban China. INDOOR AIR 2022; 32:e12960. [PMID: 34796997 DOI: 10.1111/ina.12960] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 11/01/2021] [Accepted: 11/06/2021] [Indexed: 05/26/2023]
Abstract
We hypothesized that exposure to polluting fuels for cooking was associated with abnormality of glucose metabolism and diabetes mellitus (DM) in south urban China. 3414 residents were surveyed in 14 urban areas of Guangdong Province in 2018. We recorded polluting fuels for cooking exposure, different DM status (DM, prediabetes), fasting blood glucose (FBG), oral glucose tolerance test (OGTT), glycated hemoglobin (HbA1c ), and other covariates by using a structured questionnaire. We conducted logistic regression model and multivariate linear regression model based on propensity-score method (inverse probability of weighting) to examine the effect of polluting fuels for cooking exposure on DM and glucose metabolism. Exposure to polluting fuels for cooking was associated with DM (odds ratio: 2.57, 95% confidence interval: 1.71 to 3.86) and prediabetes (odds ratio: 1.98, 95% confidence interval: 1.52 to 2.58) in both the adjusted and unadjusted models (all p < 0.05). Exposure to polluting fuels for cooking was significantly associated with an increase of FBG (β: 0.30 mmol/L, 95% confidence interval: 0.22 to 0.38 mmol/L). Sensitivity analysis showed that the results were not substantially changed. There was an increased risk of DM, prediabetes and high levels of FBG, OGTT, and HbA1c among participants aged ≥ 40 years with exposure to polluting fuels for cooking. We demonstrated that exposure to polluting fuels for cooking was associated with higher levels of FBG, which contributed to the increased risk of DM and prediabetes in middle-aged elderly Chinese population living in urban areas.
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Affiliation(s)
- Xue-Yan Zheng
- Guangdong provincial center for disease control and prevention, Guangdong, China
| | - Shu-Li Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Wei-Jie Guan
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
- Department of Thoracic Surgery, Guangzhou Institute for Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yan-Jun Xu
- Guangdong provincial center for disease control and prevention, Guangdong, China
| | - Si-Li Tang
- School of Public Health, Southern Medical University, Guangzhou, China
| | - Yi-Jin Zheng
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | | | - Chuan Li
- Guangdong provincial center for disease control and prevention, Guangdong, China
| | - Rui-Lin Meng
- Guangdong provincial center for disease control and prevention, Guangdong, China
| | - Zhuan-Ping Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Li-Feng Lin
- Guangdong provincial center for disease control and prevention, Guangdong, China
- School of Public Health, Southern Medical University, Guangzhou, China
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Tseng CH. The Relationship between Diabetes Mellitus and Gastric Cancer and the Potential Benefits of Metformin: An Extensive Review of the Literature. Biomolecules 2021; 11:biom11071022. [PMID: 34356646 PMCID: PMC8301937 DOI: 10.3390/biom11071022] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 07/02/2021] [Accepted: 07/08/2021] [Indexed: 12/14/2022] Open
Abstract
The objective of this review is to summarize the findings of published research that investigated the relationship between diabetes mellitus and gastric cancer (GCa) and the potential benefits of metformin on GCa. Related literature has been extensively reviewed, and findings from studies investigating the relationship between diabetes mellitus and GCa suggest that hyperglycemia, hyperinsulinemia and insulin resistance are closely related to the development of GCa. Although not supported by all, most observational studies suggest an increased risk of GCa in patients with type 2 diabetes mellitus, especially in women and in Asian populations. Incidence of second primary malignancy diagnosed after GCa is significantly higher in diabetes patients. Diabetes patients with GCa may have more complications after gastrectomy or chemotherapy and they may have a poorer prognosis than patients with GCa but without diabetes mellitus. However, glycemic control may improve in the diabetes patients with GCa after receiving gastrectomy, especially after procedures that bypass the duodenum and proximal jejunum, such as Roux-en-Y gastric bypass or Billroth II reconstruction. The potential links between diabetes mellitus and GCa may involve the interactions with shared risk factors (e.g., obesity, hyperglycemia, hyperinsulinemia, insulin resistance, high salt intake, smoking, etc.), Helicobacter pylori (HP) infection, medications (e.g., insulin, metformin, statins, aspirin, proton pump inhibitors, antibiotics, etc.) and comorbidities (e.g., hypertension, dyslipidemia, vascular complications, heart failure, renal failure, etc.). With regards to the potential benefits of metformin on GCa, results of most observational studies suggest a reduced risk of GCa associated with metformin use in patients with T2DM, which can be supported by evidence derived from many in vitro and animal studies. Metformin use may also reduce the risk of HP infection, an important risk factor of GCa. In patients with GCa, metformin users may have improved survival and reduced recurrence. More studies are required to clarify the pathological subtypes/anatomical sites of GCa associated with type 2 diabetes mellitus or prevented by metformin, to confirm whether GCa risk can also be increased in patients with type 1 diabetes mellitus and to explore the possible role of gastric microbiota in the development of GCa.
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Affiliation(s)
- Chin-Hsiao Tseng
- Department of Internal Medicine, National Taiwan University College of Medicine, Taipei 10051, Taiwan; ; Tel.: +886-2-2388-3578
- Division of Endocrinology and Metabolism, Department of Internal Medicine, National Taiwan University Hospital, Taipei 10051, Taiwan
- Division of Environmental Health and Occupational Medicine, National Health Research Institutes, Zhunan 350, Taiwan
- Department of Internal Medicine, National Taiwan University Hospital, No. 7 Chung-Shan South Road, Taipei 100, Taiwan
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Ab Majid NL, Rodzlan Hasani WS, Mat Rifin H, Robert Lourdes TG, Jane Ling MY, Saminanthan TA, Ismail H, Ahmad A, Mohd Yusoff MF. Self-reported diabetes, hypertension and hypercholesterolemia among older persons in Malaysia. Geriatr Gerontol Int 2021; 20 Suppl 2:79-84. [PMID: 33370854 DOI: 10.1111/ggi.13968] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 04/30/2020] [Accepted: 05/25/2020] [Indexed: 12/16/2022]
Abstract
AIM The objective of this study is to determine the prevalence of self-reported diabetes, hypertension and hypercholesterolemia among older persons in Malaysia and their associated factors. METHODS The study used data from the National Health and Morbidity Survey in 2018. It was a cross-sectional study with two-staged stratified cluster sampling design. In total, 3977 adults aged ≥60 years were selected for this study. Respondents were interviewed face to face using a structured questionnaire. Self-reported diabetes, hypertension or hypercholesterolemia was defined as having ever been told they have these diseases by a medical doctor or paramedic. Data were analyzed using SPSS version 25. The multiple logistic regression model was used to examine the factors associated with the prevalence of self-reporting. RESULTS The prevalence of self-reported diabetes, hypertension and hypercholesterolemia among older persons in Malaysia were 27.7%, 51.1% and 41.8% respectively. Presence of other comorbidities and being obese showed higher odds for all three diseases. Indians, unemployed, inactive had higher odds for diabetes. Other Bumiputras, unemployed, non-smoker, obese and inactive had higher odds for hypertension. Non-smoker had higher odds for hypercholesterolemia. CONCLUSIONS Health promotion, vigilance, attention and services targeting on the associated factors should be strengthened for older persons in Malaysia to ensure healthy aging. Geriatr Gerontol Int 2020; 20: 79-84.
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Affiliation(s)
- Nur Liana Ab Majid
- Institute for Public Health Malaysia, National Institutes of Health Malaysia, Ministry of Health, Selangor, Malaysia
| | - Wan Shakira Rodzlan Hasani
- Institute for Public Health Malaysia, National Institutes of Health Malaysia, Ministry of Health, Selangor, Malaysia
| | - Halizah Mat Rifin
- Institute for Public Health Malaysia, National Institutes of Health Malaysia, Ministry of Health, Selangor, Malaysia
| | - Tania Gayle Robert Lourdes
- Institute for Public Health Malaysia, National Institutes of Health Malaysia, Ministry of Health, Selangor, Malaysia
| | - Miaw Yn Jane Ling
- Institute for Public Health Malaysia, National Institutes of Health Malaysia, Ministry of Health, Selangor, Malaysia
| | - Thamil Arasu Saminanthan
- Institute for Public Health Malaysia, National Institutes of Health Malaysia, Ministry of Health, Selangor, Malaysia
| | - Hasimah Ismail
- Institute for Public Health Malaysia, National Institutes of Health Malaysia, Ministry of Health, Selangor, Malaysia
| | - Ahzairin Ahmad
- Institute for Public Health Malaysia, National Institutes of Health Malaysia, Ministry of Health, Selangor, Malaysia
| | - Muhammad Fadhli Mohd Yusoff
- Institute for Public Health Malaysia, National Institutes of Health Malaysia, Ministry of Health, Selangor, Malaysia
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Wu L, Lin H, Hu Y, Zhu C, Ma H, Gao J, Wu J, Shen H, Jiang W, Zhao N, Yin Y, Pan B, Jeekel J, Hofman A, Gao X. The major causes and risk factors of total and cause-specific mortality during 5.4-year follow-up: the Shanghai Changfeng Study. Eur J Epidemiol 2019; 34:939-949. [PMID: 31372866 PMCID: PMC6841746 DOI: 10.1007/s10654-019-00543-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2018] [Accepted: 07/26/2019] [Indexed: 12/25/2022]
Abstract
To investigate the major causes and predictive factors of death in a middle-aged and elderly Chinese population. A total of 6591 residents aged ≥ 45 years from Shanghai Changfeng community were followed up for an average of 5.4 years. The causes of death were coded according to the 10th Revision of International Classification of Diseases. The mortality rate was calculated by person-years of follow up and age-standardized according to the 2010 Chinese census data. Multivariable-adjusted Cox proportional hazards model was performed to investigate the predictors of all-cause and cause-specific mortality. During the total follow-up of 35,739 person-years, 370 deaths were documented (157 from malignant neoplasms, 70 from heart diseases, 68 from cerebrovascular diseases, 75 from other causes). The age-standardized all-cause mortality rate was 798.2 per 100,000 person-years (927.9 among men and 716.7 among women). Results from multivariable analyses showed that aging, diabetes, and osteoporosis at baseline were independent predictors of all-cause mortality, with hazard ratios (HR) of 1.11 (95% CI 1.10-1.13), 1.91 (1.51-2.42), and 1.71 (1.24-2.35), respectively. The population attributable risk percent of diabetes and osteoporosis was 19.7% and 11.7%, respectively. Cigarette smoking was associated with a higher risk of all-cause mortality in men (HR and 95%CI 1.44, 1.01-2.06). In women, diabetes and osteoporosis were related to a higher risk of cardiovascular mortality (3.27, 1.82-5.88 and 1.89, 1.04-3.46, respectively). While in men, osteoporosis was related to a higher risk of malignant neoplasms mortality (2.39, 1.07-5.33). Malignant neoplasms, heart diseases, and cerebrovascular diseases are the leading causes of death. Aging, smoking, underweight, diabetes, and osteoporosis are independent predictors of premature death among middle-aged and elderly Chinese community population. Moreover, there may have been some differences in the causes and predictors of premature death between men and women.
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Affiliation(s)
- Li Wu
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Fudan Institute for Metabolic Diseases, Shanghai, 200032, China
| | - Huandong Lin
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Fudan Institute for Metabolic Diseases, Shanghai, 200032, China
| | - Yu Hu
- Department of Geriatrics, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Chouwen Zhu
- Department of Gastroenterology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Hui Ma
- Department of Geriatrics, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Jian Gao
- Department of Clinical Nutrition, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Jiong Wu
- Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Hong Shen
- Network Information Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Wenhai Jiang
- Network Information Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Naiqing Zhao
- Department of Biostatistics, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Yiqing Yin
- Network Information Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Baishen Pan
- Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Johannes Jeekel
- Department of Neuroscience, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Albert Hofman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Xin Gao
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- Fudan Institute for Metabolic Diseases, Shanghai, 200032, China.
- State Key Laboratory of Genetic Engineering, Human Phenome Institute and School of Life Sciences, Fudan University, Shanghai, China.
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Wang Y, O'Neil A, Jiao Y, Wang L, Huang J, Lan Y, Zhu Y, Yu C. Sex differences in the association between diabetes and risk of cardiovascular disease, cancer, and all-cause and cause-specific mortality: a systematic review and meta-analysis of 5,162,654 participants. BMC Med 2019; 17:136. [PMID: 31296205 PMCID: PMC6625042 DOI: 10.1186/s12916-019-1355-0] [Citation(s) in RCA: 94] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2018] [Accepted: 05/29/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Studies have suggested sex differences in the mortality rate associated with diabetes. We conducted a meta-analysis to estimate the relative effect of diabetes on the risk of all-cause, cancer, cardiovascular disease (CVD), infectious disease, and respiratory disease mortality in women compared with men. METHODS Studies published from their inception to April 1, 2018, identified through a systematic search of PubMed and EMBASE and review of references. We used the sex-specific RRs to derive the women-to-men ratio of RRs (RRR) and 95% CIs from each study. Subsequently, the RRR for each outcome was pooled with random-effects meta-analysis weighted by the inverse of the variances of the log RRRs. RESULTS Forty-nine studies with 86 prospective cohorts met the inclusion criteria and were eligible for analysis. The pooled women-to-men RRR showed a 13% greater risk of all-cause mortality associated with diabetes in women than in men (RRR 1.13, 95% CI 1.07 to 1.19; P < 0.001). The pooled multiple-adjusted RRR indicated a 30% significantly greater excess risk of CVD mortality in women with diabetes compared with men (RRR 1.30, 95% CI 1.13 to 1.49; P < 0.001). Compared with men with diabetes, women with diabetes had a 58% greater risk of coronary heart disease (CHD) mortality, but only an 8% greater risk of stroke mortality (RRRCHD 1.58, 95% CI 1.32 to 1.90; P < 0.001; RRRstroke 1.08, 95% CI 1.01 to 1.15; P < 0.001). However, no sex differences were observed in pooled results of populations with or without diabetes for all-cancer (RRR 1.02, 95% CI 0.98 to 1.06; P = 0.21), infectious (RRR 1.13, 95% CI 0.90 to 1.38; P = 0.33), and respiratory mortality (RRR 1.08, 95% CI 0.95 to 1.23; P = 0.26). CONCLUSIONS Compared with men with the same condition, women with diabetes have a 58% and 13% greater risk of CHD and all-cause mortality, respectively, although there was a significant heterogeneity between studies. This points to an urgent need to develop sex- and gender-specific risk assessment strategies and therapeutic interventions that target diabetes management in the context of CHD prevention.
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Affiliation(s)
- Yafeng Wang
- Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 185 Donghu Road, Wuchang District, Wuhan, 430071, China
| | - Adrienne O'Neil
- Melbourne School of Population and Global Health, University of Melbourne, Carlton, Australia
| | - Yurui Jiao
- Department of Endocrinology, Second Clinical Medical College, Shanxi Medical University, 382 Wuyi Road, Taiyuan, 030001, China
| | - Lijun Wang
- Department of Neurology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Jingxin Huang
- School of Nursing, Guangdong Pharmaceutical University, 283 Jianghai Avenue, Haizhu District, Guangzhou, China
| | - Yutao Lan
- School of Nursing, Guangdong Pharmaceutical University, 283 Jianghai Avenue, Haizhu District, Guangzhou, China
| | - Yikun Zhu
- Department of Endocrinology, Second Clinical Medical College, Shanxi Medical University, 382 Wuyi Road, Taiyuan, 030001, China.
| | - Chuanhua Yu
- Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 185 Donghu Road, Wuchang District, Wuhan, 430071, China. .,Global Health Institute, Wuhan University, Wuhan, China.
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Carrillo-Larco RM, Barengo NC, Albitres-Flores L, Bernabe-Ortiz A. The risk of mortality among people with type 2 diabetes in Latin America: A systematic review and meta-analysis of population-based cohort studies. Diabetes Metab Res Rev 2019; 35:e3139. [PMID: 30761721 DOI: 10.1002/dmrr.3139] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Revised: 02/06/2019] [Accepted: 02/11/2019] [Indexed: 12/16/2022]
Abstract
Type 2 diabetes mellitus (T2DM) is associated with a high mortality risk, although the magnitude of this association remains unknown in Latin America (LA). We aimed to assess the strength of the association between T2DM and all-cause and cause-specific mortality in population-based cohort studies in LA. Systematic review and meta-analysis: inclusion criteria were (1) men and women 18 years old and above with T2DM; (2) study outcomes all-cause and/or cause-specific mortality; and (3) using people without T2DM as comparison group. Five databases (Scopus, Medline, Embase, Global Health, and LILACS) were searched. Risk of bias was evaluated with the ROBINS-I criteria. Initially, there were 979 identified studies, of which 17 were selected for qualitative synthesis; 14 were included in the meta-analysis (N = 416 821). Self-reported T2DM showed a pooled relative risk (RR) of 2.49 for all-causes mortality (I-squared [I2 ] = 85.7%, p < 0.001; 95% confidence interval [CI], 1.96-3.15). T2DM based on a composite definition was associated with a 2.26-fold higher all-cause mortality (I2 = 93.9%, p < 0.001; 95% CI, 1.36-3.74). The pooled risk estimates were similar between men and women, although higher at younger ages. The pooled RR for cardiovascular mortality was 2.76 (I2 = 59.2%; p < 0.061; 95% CI, 1.99-3.82) and for renal mortality 15.85 (I2 = 0.00%; p < 0.645; 95% CI, 9.82-25.57). Using available population-based cohort studies, this work has identified and estimated the strength of the association between T2DM and mortality in LA. The higher mortality risk compared with high-income countries deserves close attention from health policies makers and clinicians to improve diabetes care and control hence preventing complications and delaying death.
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Affiliation(s)
- Rodrigo M Carrillo-Larco
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- CRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Noël C Barengo
- Department of Medical and Population Health Sciences Research, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Leonardo Albitres-Flores
- CRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru
- Facultad de Medicina, Universidad Nacional de Trujillo, Trujillo, Peru
- Sociedad Cientifica de Estudiantes de Medicina de la Universidad Nacional de Trujillo-SOCEMUNT, Trujillo, Peru
| | - Antonio Bernabe-Ortiz
- CRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru
- Facultad de Ciencias de la Salud, Universidad Peruana de Ciencias Aplicadas, Lima, Peru
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Ohkuma T, Peters SAE, Woodward M. Sex differences in the association between diabetes and cancer: a systematic review and meta-analysis of 121 cohorts including 20 million individuals and one million events. Diabetologia 2018; 61:2140-2154. [PMID: 30027404 PMCID: PMC6133170 DOI: 10.1007/s00125-018-4664-5] [Citation(s) in RCA: 113] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Accepted: 05/02/2018] [Indexed: 12/14/2022]
Abstract
AIMS/HYPOTHESIS Diabetes has been shown to be a risk factor for some cancers. Whether diabetes confers the same excess risk of cancer, overall and by site, in women and men is unknown. METHODS A systematic search was performed in PubMed for cohort studies published up to December 2016. Selected studies reported sex-specific relative risk (RR) estimates for the association between diabetes and cancer adjusted at least for age in both sexes. Random-effects meta-analyses with inverse-variance weighting were used to obtain pooled sex-specific RRs and women-to-men ratios of RRs (RRRs) for all-site and site-specific cancers. RESULTS Data on all-site cancer events (incident or fatal only) were available from 121 cohorts (19,239,302 individuals; 1,082,592 events). The pooled adjusted RR for all-site cancer associated with diabetes was 1.27 (95% CI 1.21, 1.32) in women and 1.19 (1.13, 1.25) in men. Women with diabetes had ~6% greater risk compared with men with diabetes (the pooled RRR was 1.06, 95% CI 1.03, 1.09). Corresponding pooled RRRs were 1.10 (1.07, 1.13) for all-site cancer incidence and 1.03 (0.99, 1.06) for all-site cancer mortality. Diabetes also conferred a significantly greater RR in women than men for oral, stomach and kidney cancer, and for leukaemia, but a lower RR for liver cancer. CONCLUSIONS/INTERPRETATION Diabetes is a risk factor for all-site cancer for both women and men, but the excess risk of cancer associated with diabetes is slightly greater for women than men. The direction and magnitude of sex differences varies by location of the cancer.
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Affiliation(s)
- Toshiaki Ohkuma
- The George Institute for Global Health, University of New South Wales, Level 10, King George V Building, Royal Prince Alfred Hospital, Missenden Rd, Camperdown, NSW, 2050, Australia.
| | - Sanne A E Peters
- The George Institute for Global Health, University of Oxford, Le Gros Clark Building, South Parks Road, Oxford, OX1 3QX, UK
| | - Mark Woodward
- The George Institute for Global Health, University of New South Wales, Level 10, King George V Building, Royal Prince Alfred Hospital, Missenden Rd, Camperdown, NSW, 2050, Australia.
- The George Institute for Global Health, University of Oxford, Le Gros Clark Building, South Parks Road, Oxford, OX1 3QX, UK.
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA.
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Wang F, Wang J, Li Y, Han X, Hu H, Yu C, Yuan J, Yao P, Miao X, Wei S, Wang Y, Chen W, Liang Y, Guo H, Zhang X, Yang H, Wu T, He M. Associations between daily cooking duration and the prevalence of diabetes and prediabetes in a middle-aged and elderly Chinese population: A cross-sectional study. INDOOR AIR 2018; 28:238-246. [PMID: 29028277 DOI: 10.1111/ina.12434] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Accepted: 10/06/2017] [Indexed: 06/07/2023]
Abstract
Experimental and epidemiological studies indicated that ambient air pollution was positively associated with diabetes. Few studies investigated the associations between household air pollution, for example, daily cooking duration and diabetes or prediabetes. We conducted a cross-sectional study to investigate the associations of daily cooking duration with the prevalence of diabetes and prediabetes among a middle-aged and elderly population. A total of 26 089 individuals (11 250 males and 14 839 females) derived from the Dongfeng-Tongji cohort study were included. Daily cooking duration was assessed by questionnaire. Diabetes and prediabetes were identified according to the criterion of American Diabetes Association. No significant association was observed between daily cooking duration and the prevalence risk of diabetes (odds ratio[OR] = 0.97, 95% confidence interval[CI]: [0.81-1.16], P for trend = .74); however, longer daily cooking duration was associated with higher prevalence risk of prediabetes (OR = 1.26, 95% CI: 1.07-1.47; P for trend = .003) and hyperglycemia (OR = 1.21, 95% CI: 1.05-1.41; P for trend = .005). Our study suggested that daily cooking duration was not associated with diabetes but with higher prevalence risk of prediabetes/hyperglycemia in a middle-aged and elderly Chinese population.
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Affiliation(s)
- F Wang
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - J Wang
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Y Li
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - X Han
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - H Hu
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - C Yu
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - J Yuan
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - P Yao
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - X Miao
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - S Wei
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Y Wang
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - W Chen
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Y Liang
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - H Guo
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - X Zhang
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - H Yang
- Dongfeng Central Hospital, Dongfeng Motor Corporation and Hubei University of Medicine, Shiyan, China
| | - T Wu
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - M He
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Wu B, Zhang S, Lin H, Mou S. Prevention of renal failure in Chinese patients with newly diagnosed type 2 diabetes: A cost-effectiveness analysis. J Diabetes Investig 2017; 9:152-161. [PMID: 28296280 PMCID: PMC5754528 DOI: 10.1111/jdi.12653] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2016] [Revised: 02/08/2017] [Accepted: 03/02/2017] [Indexed: 02/06/2023] Open
Abstract
Aims/Introduction Diabetic kidney disease (DKD) is the second leading cause (16.4%) of end‐stage renal disease in China. The current study assessed the cost‐effectiveness of preventing DKD in patients with newly diagnosed type 2 diabetes from the Chinese healthcare perspective. Materials and Methods A lifetime Markov decision model was developed according to the disease course of DKD. Patients with newly diagnosed type 2 diabetes might receive treatment according to one of the following three strategies: (i) “do nothing” strategy (control strategy); (ii) treatment with angiotensin‐converting enzyme inhibitors and angiotensin II receptor blockers (universal strategy); (iii) or screening for microalbuminuria followed by angiotensin‐converting enzyme inhibitor/angiotensin II receptor blocker treatment (screening strategy). Clinical and utility data were obtained from the published literature. Direct medical costs and resource utilization in the Chinese healthcare setting were considered. Sensitivity analyses were undertaken to test the impact of a range of variables and assumptions on the results. Results Compared with the control strategy, both the screening and universal strategies were cost‐saving options that showed lower costs and better health benefits. The incremental cost‐effectiveness ratio of the universal strategy over the screening strategy was US $30,087 per quality‐adjusted life‐year, which was higher than the cost‐effectiveness threshold of China. The sensitivity analyses showed robust results, except for the probability of developing macroalbuminuria from microalbuminuria. Conclusions Screening for microalbuminuria could be a cost‐saving option for the prevention of DKD in the Chinese setting.
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Affiliation(s)
- Bin Wu
- Medical Decision and Economic Group, Department of Pharmacy, Ren Ji Hospital, South Campus, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Suhua Zhang
- Department of Nephrology, Ren Ji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Houwen Lin
- Medical Decision and Economic Group, Department of Pharmacy, Ren Ji Hospital, South Campus, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Shan Mou
- Department of Nephrology, Ren Ji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
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11
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Bragg F, Holmes MV, Iona A, Guo Y, Du H, Chen Y, Bian Z, Yang L, Herrington W, Bennett D, Turnbull I, Liu Y, Feng S, Chen J, Clarke R, Collins R, Peto R, Li L, Chen Z. Association Between Diabetes and Cause-Specific Mortality in Rural and Urban Areas of China. JAMA 2017; 317:280-289. [PMID: 28114552 PMCID: PMC6520233 DOI: 10.1001/jama.2016.19720] [Citation(s) in RCA: 325] [Impact Index Per Article: 46.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
IMPORTANCE In China, diabetes prevalence has increased substantially in recent decades, but there are no reliable estimates of the excess mortality currently associated with diabetes. OBJECTIVES To assess the proportional excess mortality associated with diabetes and estimate the diabetes-related absolute excess mortality in rural and urban areas of China. DESIGN, SETTING, AND PARTICIPANTS A 7-year nationwide prospective study of 512 869 adults aged 30 to 79 years from 10 (5 rural and 5 urban) regions in China, who were recruited between June 2004 and July 2008 and were followed up until January 2014. EXPOSURES Diabetes (previously diagnosed or detected by screening) recorded at baseline. MAIN OUTCOMES AND MEASURES All-cause and cause-specific mortality, collected through established death registries. Cox regression was used to estimate adjusted mortality rate ratio (RR) comparing individuals with diabetes vs those without diabetes at baseline. RESULTS Among the 512 869 participants, the mean (SD) age was 51.5 (10.7) years, 59% (n = 302 618) were women, and 5.9% (n = 30 280) had diabetes (4.1% in rural areas, 8.1% in urban areas, 5.8% of men, 6.1% of women, 3.1% had been previously diagnosed, and 2.8% were detected by screening). During 3.64 million person-years of follow-up, there were 24 909 deaths, including 3384 among individuals with diabetes. Compared with adults without diabetes, individuals with diabetes had a significantly increased risk of all-cause mortality (1373 vs 646 deaths per 100 000; adjusted RR, 2.00 [95% CI, 1.93-2.08]), which was higher in rural areas than in urban areas (rural RR, 2.17 [95% CI, 2.07-2.29]; urban RR, 1.83 [95% CI, 1.73-1.94]). Presence of diabetes was associated with increased mortality from ischemic heart disease (3287 deaths; RR, 2.40 [95% CI, 2.19-2.63]), stroke (4444 deaths; RR, 1.98 [95% CI, 1.81-2.17]), chronic liver disease (481 deaths; RR, 2.32 [95% CI, 1.76-3.06]), infections (425 deaths; RR, 2.29 [95% CI, 1.76-2.99]), and cancer of the liver (1325 deaths; RR, 1.54 [95% CI, 1.28-1.86]), pancreas (357 deaths; RR, 1.84 [95% CI, 1.35-2.51]), female breast (217 deaths; RR, 1.84 [95% CI, 1.24-2.74]), and female reproductive system (210 deaths; RR, 1.81 [95% CI, 1.20-2.74]). For chronic kidney disease (365 deaths), the RR was higher in rural areas (18.69 [95% CI, 14.22-24.57]) than in urban areas (6.83 [95% CI, 4.73-9.88]). Among those with diabetes, 10% of all deaths (16% rural; 4% urban) were due to definite or probable diabetic ketoacidosis or coma (408 deaths). CONCLUSIONS AND RELEVANCE Among adults in China, diabetes was associated with increased mortality from a range of cardiovascular and noncardiovascular diseases. Although diabetes was more common in urban areas, it was associated with greater excess mortality in rural areas.
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Affiliation(s)
- Fiona Bragg
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Michael V Holmes
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit at the University of Oxford
| | - Andri Iona
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit at the University of Oxford
| | - Yu Guo
- Chinese Academy of Medical Sciences, 9 Dongdan San Tiao, Beijing 100730, China
| | - Huaidong Du
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit at the University of Oxford
| | - Yiping Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit at the University of Oxford
| | - Zheng Bian
- Chinese Academy of Medical Sciences, 9 Dongdan San Tiao, Beijing 100730, China
| | - Ling Yang
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit at the University of Oxford
| | - William Herrington
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Derrick Bennett
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Iain Turnbull
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yongmei Liu
- Qingdao CDC, 175 Shandong Road, Qingdao 266033, China
| | - Shixian Feng
- Henan Provincial CDC, 105 NongYeDong Road, Zhengzhou 450016, Henan, China
| | - Junshi Chen
- National Center for Food Safety Risk Assessment, 37 Guangqu Road, Beijing 100021, China
| | - Robert Clarke
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Rory Collins
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Richard Peto
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Liming Li
- Chinese Academy of Medical Sciences, 9 Dongdan San Tiao, Beijing 100730, China
- School of Public Health, Peking University, Beijing 100191, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
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12
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Cheung CW, Choi SW, Wong SSC, Lee Y, Irwin MG. Changes in Prevalence, Outcomes, and Help-seeking Behavior of Chronic Pain in an Aging Population Over the Last Decade. Pain Pract 2016; 17:643-654. [PMID: 27735140 DOI: 10.1111/papr.12496] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Accepted: 06/07/2016] [Indexed: 12/26/2022]
Abstract
BACKGROUND Chronic pain is expected to increase as the population ages. This study aimed to investigate the changes in prevalence, patterns, and help-seeking behavior of chronic pain and prevalence of neuropathic pain of an aging population in Hong Kong. METHODS A cross-sectional, telephone interview with a structured questionnaire was conducted in a randomly selected sample of adults with acute or chronic pain of any kind in the general population to estimate the prevalence of chronic and neuropathic pain, and to describe sociodemographics and help-seeking behavior. Results were compared with a similar study conducted in 1999. RESULTS Totally, 1,570 people were interviewed. Chronic pain was experienced by 28.7% of all respondents, compared to 10.8% in 1999. Joint (45.5%), muscle (27.1%), and back (25.2%) pain were the most common, similar to findings in 1999. Of those with chronic pain, 83.1% reported pain in more than one body site (63.4% in 1999, P = 0.0023). More respondents reported their average pain as being intense (51.57% vs. 33.0% in 2013 and 1999, respectively, P = 0.0098). A downward trend of respondents taking medications for chronic pain (34.9% in 2013 vs. 47.6% in 1999, P = 0.019) was seen. Neuropathic pain was present in 9.03% of the population and 14.7% of chronic pain sufferers. CONCLUSION The prevalence of neuropathic pain in Hong Kong is high and is described here for the first time. The number of chronic pain sufferers has tripled in the past decade. Significant changes in the patterns and help- seeking behavior of chronic pain sufferers are also seen.
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Affiliation(s)
- Chi Wai Cheung
- Laboratory and Clinical Research Institute for Pain, Department of Anaesthesiology, The University of Hong Kong, Hong Kong, China.,Department of Anaesthesiology, Queen Mary Hospital, Hong Kong, China.,Research Centre of Heart, Brain, Hormone & Healthy Aging, The University of Hong Kong, Hong Kong, China
| | - Siu Wai Choi
- Laboratory and Clinical Research Institute for Pain, Department of Anaesthesiology, The University of Hong Kong, Hong Kong, China
| | - Stanley Sau Ching Wong
- Laboratory and Clinical Research Institute for Pain, Department of Anaesthesiology, The University of Hong Kong, Hong Kong, China
| | - Yvonne Lee
- Laboratory and Clinical Research Institute for Pain, Department of Anaesthesiology, The University of Hong Kong, Hong Kong, China
| | - Michael Garnet Irwin
- Laboratory and Clinical Research Institute for Pain, Department of Anaesthesiology, The University of Hong Kong, Hong Kong, China.,Department of Anaesthesiology, Queen Mary Hospital, Hong Kong, China.,Research Centre of Heart, Brain, Hormone & Healthy Aging, The University of Hong Kong, Hong Kong, China
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13
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Type 2 diabetes and gender differences in liver cancer by considering different confounding factors: a meta-analysis of cohort studies. Ann Epidemiol 2016; 26:764-772. [PMID: 27765402 DOI: 10.1016/j.annepidem.2016.09.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2015] [Revised: 08/24/2016] [Accepted: 09/16/2016] [Indexed: 12/24/2022]
Abstract
PURPOSE Questions remain uncertainty regarding the gender differences in the relationship between type 2 diabetes (T2DM) and liver cancer risk. By considering several confounding factors, we aimed to identify this issue according to a meta-analysis of cohort studies. METHODS We searched EMBASE and MEDLINE for studies on the association between T2DM and risk of liver cancer up to November 30, 2014. A random-effects model was performed to calculate summary relative risks (SRRs) with corresponding 95% confidence intervals (CIs). RESULTS A total of 24 cohort studies (including more than 20,000 liver cancer cases) were recruited. T2DM was associated with an elevated liver cancer incidence in both men (SRR = 2.16; 95% CI, 1.74-2.69) and women (SRR = 1.85; 95% CI, 1.40-2.44). Stratified analyses showed that the risk associations were significantly stronger in non-Asian than those in Asian for both men and women. Both tobacco smoking and body mass index were significant confounding factors for the T2DM-liver cancer association in men, whereas alcohol use was not the case. The SRR estimates of liver cancer mortality with T2DM were statistically significant in both men and women (men: SRR = 2.26; 95% CI, 1.60-3.19 and women: SRR = 2.01; 95% CI, 1.45-2.74). CONCLUSIONS Results of this meta-analysis indicate that the T2DM-liver cancer correlation is confounded by smoking and body mass index in both men and women. Results also suggest a significantly stronger T2DM-liver cancer correlation in non-Asian than that in Asian for both men and women.
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14
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Yalcin A, Aras S, Atmis V, Cengiz OK, Cinar E, Atli T, Varli M. Sarcopenia and mortality in older people living in a nursing home in Turkey. Geriatr Gerontol Int 2016; 17:1118-1124. [DOI: 10.1111/ggi.12840] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2015] [Revised: 04/25/2016] [Accepted: 05/09/2016] [Indexed: 01/04/2023]
Affiliation(s)
- Ahmet Yalcin
- Department of Geriatric Medicine; Ankara University School of Medicine İbn-i, Sina Hospital; Altındağ Ankara Turkey
| | - Sevgi Aras
- Department of Geriatric Medicine; Ankara University School of Medicine İbn-i, Sina Hospital; Altındağ Ankara Turkey
| | - Volkan Atmis
- Department of Geriatric Medicine; Ankara University School of Medicine İbn-i, Sina Hospital; Altındağ Ankara Turkey
| | - Ozlem Karaarslan Cengiz
- Department of Geriatric Medicine; Ankara University School of Medicine İbn-i, Sina Hospital; Altındağ Ankara Turkey
| | - Esat Cinar
- Department of Geriatric Medicine; Ankara University School of Medicine İbn-i, Sina Hospital; Altındağ Ankara Turkey
| | - Teslime Atli
- Department of Geriatric Medicine; Ankara University School of Medicine İbn-i, Sina Hospital; Altındağ Ankara Turkey
| | - Murat Varli
- Department of Geriatric Medicine; Ankara University School of Medicine İbn-i, Sina Hospital; Altındağ Ankara Turkey
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15
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Bragg F, Li L, Yang L, Guo Y, Chen Y, Bian Z, Chen J, Collins R, Peto R, Wang C, Dong C, Pan R, Zhou J, Xu X, Chen Z. Risks and Population Burden of Cardiovascular Diseases Associated with Diabetes in China: A Prospective Study of 0.5 Million Adults. PLoS Med 2016; 13:e1002026. [PMID: 27379518 PMCID: PMC4933372 DOI: 10.1371/journal.pmed.1002026] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2015] [Accepted: 04/15/2016] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND In China, diabetes prevalence is rising rapidly, but little is known about the associated risks and population burden of cardiovascular diseases. We assess associations of diabetes with major cardiovascular diseases and the relevance of diabetes duration and other modifiable risk factors to these associations. METHODS AND FINDINGS A nationwide prospective study recruited 512,891 men and women aged 30-79 y between 25 June 2004 and 15 July 2008 from ten diverse localities across China. During ~7 y of follow-up, 7,353 cardiovascular deaths and 25,451 non-fatal major cardiovascular events were recorded among 488,760 participants without prior cardiovascular disease at baseline. Cox regression yielded adjusted hazard ratios (HRs) comparing disease risks in individuals with diabetes to those without. Overall, 5.4% (n = 26,335) of participants had self-reported (2.7%) or screen-detected (2.7%) diabetes. Individuals with self-reported diabetes had an adjusted HR of 2.07 (95% CI 1.90-2.26) for cardiovascular mortality. There were significant excess risks of major coronary event (2.44, 95% CI 2.18-2.73), ischaemic stroke (1.68, 95% CI 1.60-1.77), and intracerebral haemorrhage (1.24, 95% CI 1.07-1.44). Screen-detected diabetes was also associated with significant, though more modest, excess cardiovascular risks, with corresponding HRs of 1.66 (95% CI 1.51-1.83), 1.62 (95% CI 1.40-1.86), 1.48 (95% CI 1.40-1.57), and 1.17 (95% CI 1.01-1.36), respectively. Misclassification of screen-detected diabetes may have caused these risk estimates to be underestimated, whilst lack of data on lipids may have resulted in residual confounding of diabetes-associated cardiovascular disease risks. Among individuals with diabetes, cardiovascular risk increased progressively with duration of diabetes and number of other presenting modifiable cardiovascular risk factors. Assuming a causal association, diabetes now accounts for ~0.5 million (489,676, 95% CI 335,777-681,202) cardiovascular deaths annually in China. CONCLUSIONS Among Chinese adults, diabetes is associated with significantly increased risks of major cardiovascular diseases. The increasing prevalence and younger age of onset of diabetes foreshadow greater diabetes-attributable disease burden in China.
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Affiliation(s)
- Fiona Bragg
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Chinese Academy of Medical Sciences, Beijing, China
- * E-mail: (LL); (ZC)
| | - Ling Yang
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Yiping Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Zheng Bian
- Chinese Academy of Medical Sciences, Beijing, China
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Rory Collins
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Richard Peto
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Chunmei Wang
- Tongxiang Centre for Disease Control and Prevention, Zhejiang, China
| | - Caixia Dong
- Gansu Centre for Disease Control and Prevention, Gansu, China
| | - Rong Pan
- Liuzhou Centre for Disease Control and Prevention, Liuzhou, China
| | - Jinyi Zhou
- Jiangsu Centre for Disease Control and Prevention, Jiangsu, China
| | - Xin Xu
- Liuyang Centre for Disease Control and Prevention, Hunan, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- * E-mail: (LL); (ZC)
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16
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Shen C, Lee SY, Lam TH, Schooling CM. Is Traditional Chinese Exercise Associated With Lower Mortality Rates in Older People? Evidence From a Prospective Chinese Elderly Cohort Study in Hong Kong. Am J Epidemiol 2016; 183:36-45. [PMID: 26646293 DOI: 10.1093/aje/kwv142] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2015] [Accepted: 05/28/2015] [Indexed: 01/13/2023] Open
Abstract
The inverse association of aerobic exercise with death has been well documented. However, evidence on traditional Chinese exercise (TCE) and rate of death in older Chinese is limited. Multivariable Cox regression analysis was used to assess the associations of TCE and other types of physical activity with death from all causes and specific causes in a population-based prospective cohort of 66,820 Chinese persons (≥65 years of age) who were enrolled between July 1998 and December 2001 at all 18 Elderly Health Centers in Hong Kong and followed up until May 31, 2012. During an average of 10.9 years of follow-up, 19,845 deaths occurred. TCE was inversely associated with death from all causes (hazard ratio (HR) = 0.78, 95% confidence interval (CI): 0.74, 0.82), cardiovascular disease (HR = 0.77, 95% CI: 0.70, 0.85), cancer (HR = 0.84, 95% CI: 0.77, 0.92), and respiratory disease (HR = 0.71, 95% CI: 0.63, 0.80) but was not associated with death from accidents (excluding falls) (HR = 0.79, 95% CI: 0.44, 1.42), after adjustment for age, sex, socioeconomic position, alcohol use, smoking, body mass index, and health status. The associations did not vary by amount of TCE. Aerobic exercise had similar inverse associations as TCE, but associations for stretching exercises and walking slowly were less marked. Further studies of TCE are warranted in older Chinese.
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17
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Schooling CM, Chan WM, Leung SL, Lam TH, Lee SY, Shen C, Leung JY, Leung GM. Cohort Profile: Hong Kong Department of Health Elderly Health Service Cohort. Int J Epidemiol 2014; 45:64-72. [PMID: 25480143 DOI: 10.1093/ije/dyu227] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/10/2014] [Indexed: 01/26/2023] Open
Abstract
The Department of Health Elderly Health Service Cohort in Hong Kong was set up to promote understanding of ageing in a global context, to exploit the role of Hong Kong as a sentinel for populations currently experiencing very rapid economic development, to provide a developed non-Western 'social laboratory' where empirically derived hypotheses can be tested and to leverage the different patterns of common chronic diseases between East and West to generate novel hypotheses about their determinants. The initial cohort enrolled from July 1998 to the end of December 2001 includes 66 820 people aged 65 years or older, forming about 9% of the population of this age. A comprehensive health assessment was made at enrollment and then repeated regularly on an ongoing basis. The health assessment included a comprehensive assessment of lifestyle, social circumstances, physical health and mental health, including an assessment of cognition and depressive symptoms. Health services use and deaths have been obtained by record linkage and confirmed, where necessary, by telephone interview. Currently, the data are not publicly available; we would welcome collaborations and research proposals.
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Affiliation(s)
- C M Schooling
- School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China and
| | - W M Chan
- Department of Health, Government of Hong Kong SAR, China
| | - S L Leung
- Department of Health, Government of Hong Kong SAR, China
| | - T H Lam
- School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China and
| | - S Y Lee
- Department of Health, Government of Hong Kong SAR, China
| | - C Shen
- School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China and
| | - J Y Leung
- School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China and
| | - G M Leung
- School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China and
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