1
|
Kaptoge S, Seshasai SRK, Sun L, Walker M, Bolton T, Spackman S, Ataklte F, Willeit P, Bell S, Burgess S, Pennells L, Altay S, Assmann G, Ben-Shlomo Y, Best LG, Björkelund C, Blazer DG, Brenner H, Brunner EJ, Dagenais GR, Cooper JA, Cooper C, Crespo CJ, Cushman M, D'Agostino RB, Daimon M, Daniels LB, Danker R, Davidson KW, de Jongh RT, Donfrancesco C, Ducimetiere P, Elders PJM, Engström G, Ford I, Gallacher I, Bakker SJL, Goldbourt U, de La Cámara G, Grimsgaard S, Gudnason V, Hansson PO, Imano H, Jukema JW, Kabrhel C, Kauhanen J, Kavousi M, Kiechl S, Knuiman MW, Kromhout D, Krumholz HM, Kuller LH, Laatikainen T, Lowler DA, Meyer HE, Mukamal K, Nietert PJ, Ninomiya T, Nitsch D, Nordestgaard BG, Palmieri L, Price JF, Ridker PM, Sun Q, Rosengren A, Roussel R, Sakurai M, Salomaa V, Schöttker B, Shaw JE, Strandberg TE, Sundström J, Tolonen H, Tverdal A, Verschuren WMM, Völzke H, Wagenknecht L, Wallace RB, Wannamethee SG, Wareham NJ, Wassertheil-Smoller S, Yamagishi K, Yeap BB, Harrison S, Inouye M, Griffin S, Butterworth AS, Wood AM, Thompson SG, Sattar N, Danesh J, Di Angelantonio E, Tipping RW, Russell S, Johansen M, Bancks MP, Mongraw-Chaffin M, Magliano D, Barr ELM, Zimmet PZ, Knuiman MW, Whincup PH, Willeit J, Willeit P, Leitner C, Lawlor DA, Ben-Shlomo Y, Elwood P, Sutherland SE, Hunt KJ, Cushman M, Selmer RM, Haheim LL, Ariansen I, Tybjaer-Hansen A, Frikkle-Schmidt R, Langsted A, Donfrancesco C, Lo Noce C, Balkau B, Bonnet F, Fumeron F, Pablos DL, Ferro CR, Morales TG, Mclachlan S, Guralnik J, Khaw KT, Brenner H, Holleczek B, Stocker H, Nissinen A, Palmieri L, Vartiainen E, Jousilahti P, Harald K, Massaro JM, Pencina M, Lyass A, Susa S, Oizumi T, Kayama T, Chetrit A, Roth J, Orenstein L, Welin L, Svärdsudd K, Lissner L, Hange D, Mehlig K, Salomaa V, Tilvis RS, Dennison E, Cooper C, Westbury L, Norman PE, Almeida OP, Hankey GJ, Hata J, Shibata M, Furuta Y, Bom MT, Rutters F, Muilwijk M, Kraft P, Lindstrom S, Turman C, Kiyama M, Kitamura A, Yamagishi K, Gerber Y, Laatikainen T, Salonen JT, van Schoor LN, van Zutphen EM, Verschuren WMM, Engström G, Melander O, Psaty BM, Blaha M, de Boer IH, Kronmal RA, Sattar N, Rosengren A, Nitsch D, Grandits G, Tverdal A, Shin HC, Albertorio JR, Gillum RF, Hu FB, Cooper JA, Humphries S, Hill- Briggs F, Vrany E, Butler M, Schwartz JE, Kiyama M, Kitamura A, Iso H, Amouyel P, Arveiler D, Ferrieres J, Gansevoort RT, de Boer R, Kieneker L, Crespo CJ, Assmann G, Trompet S, Kearney P, Cantin B, Després JP, Lamarche B, Laughlin G, McEvoy L, Aspelund T, Thorsson B, Sigurdsson G, Tilly M, Ikram MA, Dorr M, Schipf S, Völzke H, Fretts AM, Umans JG, Ali T, Shara N, Davey-Smith G, Can G, Yüksel H, Özkan U, Nakagawa H, Morikawa Y, Ishizaki M, Njølstad I, Wilsgaard T, Mathiesen E, Sundström J, Buring J, Cook N, Arndt V, Rothenbacher D, Manson J, Tinker L, Shipley M, Tabak AG, Kivimaki M, Packard C, Robertson M, Feskens E, Geleijnse M, Kromhout D. Life expectancy associated with different ages at diagnosis of type 2 diabetes in high-income countries: 23 million person-years of observation. Lancet Diabetes Endocrinol 2023; 11:731-742. [PMID: 37708900 PMCID: PMC7615299 DOI: 10.1016/s2213-8587(23)00223-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 07/14/2023] [Accepted: 07/14/2023] [Indexed: 09/16/2023]
Abstract
BACKGROUND The prevalence of type 2 diabetes is increasing rapidly, particularly among younger age groups. Estimates suggest that people with diabetes die, on average, 6 years earlier than people without diabetes. We aimed to provide reliable estimates of the associations between age at diagnosis of diabetes and all-cause mortality, cause-specific mortality, and reductions in life expectancy. METHODS For this observational study, we conducted a combined analysis of individual-participant data from 19 high-income countries using two large-scale data sources: the Emerging Risk Factors Collaboration (96 cohorts, median baseline years 1961-2007, median latest follow-up years 1980-2013) and the UK Biobank (median baseline year 2006, median latest follow-up year 2020). We calculated age-adjusted and sex-adjusted hazard ratios (HRs) for all-cause mortality according to age at diagnosis of diabetes using data from 1 515 718 participants, in whom deaths were recorded during 23·1 million person-years of follow-up. We estimated cumulative survival by applying age-specific HRs to age-specific death rates from 2015 for the USA and the EU. FINDINGS For participants with diabetes, we observed a linear dose-response association between earlier age at diagnosis and higher risk of all-cause mortality compared with participants without diabetes. HRs were 2·69 (95% CI 2·43-2·97) when diagnosed at 30-39 years, 2·26 (2·08-2·45) at 40-49 years, 1·84 (1·72-1·97) at 50-59 years, 1·57 (1·47-1·67) at 60-69 years, and 1·39 (1·29-1·51) at 70 years and older. HRs per decade of earlier diagnosis were similar for men and women. Using death rates from the USA, a 50-year-old individual with diabetes died on average 14 years earlier when diagnosed aged 30 years, 10 years earlier when diagnosed aged 40 years, or 6 years earlier when diagnosed aged 50 years than an individual without diabetes. Using EU death rates, the corresponding estimates were 13, 9, or 5 years earlier. INTERPRETATION Every decade of earlier diagnosis of diabetes was associated with about 3-4 years of lower life expectancy, highlighting the need to develop and implement interventions that prevent or delay the onset of diabetes and to intensify the treatment of risk factors among young adults diagnosed with diabetes. FUNDING British Heart Foundation, Medical Research Council, National Institute for Health and Care Research, and Health Data Research UK.
Collapse
|
2
|
Liu C, Guo MN, Chai Z, Xin Z, Chen G, Zimmet PZ, Yang JK. Association between Covid-19 vaccination and incidence of Type 1 diabetes in China: evidence from 14.14 million registered residents between 2007 and 2021. Diabetes Res Clin Pract 2023; 201:110723. [PMID: 37209876 DOI: 10.1016/j.diabres.2023.110723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 05/07/2023] [Accepted: 05/13/2023] [Indexed: 05/22/2023]
Abstract
AIMS Reports have suggested that COVID-19 vaccination may cause Type 1 diabetes (T1D), particularly fulminant T1D (FT1D). This study aimed to investigate the incidence of T1D in a general population of China, where more than 90% of the people have received three injections of inactivated SARS-Cov-2 vaccines in 2021. METHODS A population-based registry of T1D was performed using data from the Beijing Municipal Health Commission Information Center. Annual incidence rates were calculated by age group and gender, and annual percentage changes were assessed using Joinpoint regression. RESULTS The study included 14.14 million registered residents, and 7,697 people with newly diagnosed T1D were identified from 2007 to 2021. T1D incidence increased from 2.77 in 2007 to 3.84 per 100,000 persons in 2021. However, T1D incidence was stable from 2019 to 2021, and the incidence rate did not increase when people were vaccinated in January-December 2021. The incidence of FT1D did not increase from 2015 to 2021. CONCLUSIONS The findings suggest that COVID-19 vaccination did not increase the onset of T1D or have a significant impact on T1D pathogenesis, at least not on a large scale.
Collapse
Affiliation(s)
- Chang Liu
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Mo-Ning Guo
- Beijing Municipal Health Commission Information Center, Beijing 100034, China
| | - Zhonglin Chai
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC 3800, Australia
| | - Zhong Xin
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Guanjie Chen
- The Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Paul Z Zimmet
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC 3800, Australia
| | - Jin-Kui Yang
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China; Beijing Diabetes Institute, Beijing 100730, China.
| |
Collapse
|
3
|
Wood AJ, Lee I, Barr ELM, Barzi F, Boyle JA, Connors C, Moore E, Oats JJN, McIntyre HD, Titmuss A, Simmonds A, Zimmet PZ, Brown ADH, Corpus S, Shaw JE, Maple‐Brown LJ. Postpartum uptake of diabetes screening tests in women with gestational diabetes: The PANDORA study. Diabet Med 2023; 40:e14999. [PMID: 36336995 PMCID: PMC10946515 DOI: 10.1111/dme.14999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 09/21/2022] [Accepted: 10/23/2022] [Indexed: 11/09/2022]
Abstract
AIMS To determine rates and predictors of postpartum diabetes screening among Aboriginal and/or Torres Strait Islander and non-Indigenous women with gestational diabetes mellitus (GDM). METHODS PANDORA is a prospective longitudinal cohort of women recruited in pregnancy. Postpartum diabetes screening rates at 12 weeks (75-g oral glucose tolerance test (OGTT)) and 6, 12 and 18 months (OGTT, glycated haemoglobin [HbA1C ] or fasting plasma glucose) were assessed for women with GDM (n = 712). Associations between antenatal factors and screening with any test (OGTT, HbA1C , fasting plasma glucose) by 6 months postpartum were examined using Cox proportional hazards regression. RESULTS Postpartum screening rates with an OGTT by 12 weeks and 6 months postpartum were lower among Aboriginal and/or Torres Strait Islander women than non-Indigenous women (18% vs. 30% at 12 weeks, and 23% vs. 37% at 6 months, p < 0.001). Aboriginal and/or Torres Strait Islander women were more likely to have completed a 6-month HbA1C compared to non-Indigenous women (16% vs. 2%, p < 0.001). Screening by 6 months postpartum with any test was 41% for Aboriginal and/or Torres Strait Islander women and 45% for non-Indigenous women (p = 0.304). Characteristics associated with higher screening rates with any test by 6 months postpartum included, insulin use in pregnancy, first pregnancy, not smoking and lower BMI. CONCLUSIONS Given very high rates of type 2 diabetes among Aboriginal and Torres Strait Islander women, early postpartum screening with the most feasible test should be prioritised to detect prediabetes and diabetes for intervention.
Collapse
Affiliation(s)
- Anna J. Wood
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
- Department of EndocrinologyRoyal Darwin HospitalDarwinNorthern TerritoryAustralia
| | - I‐Lynn Lee
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
| | - Elizabeth L. M. Barr
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
- Baker Heart and Diabetes InstituteMelbourneVictoriaAustralia
| | - Federica Barzi
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
| | - Jacqueline A. Boyle
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
- Monash Centre for Health Research and ImplementationMonash UniversityClaytonVictoriaAustralia
| | - Christine Connors
- Top End Health ServiceNorthern Territory Department of HealthCasuarinaNorthern TerritoryAustralia
| | - Elizabeth Moore
- Aboriginal Medical Services Alliance Northern TerritoryNorthern TerritoryDarwinAustralia
| | - Jeremy J. N. Oats
- Melbourne School of Population and Global HealthUniversity of MelbourneMelbourneVictoriaAustralia
| | - Harold D. McIntyre
- Mater ResearchThe University of QueenslandSouth BrisbaneQueenslandAustralia
| | - Angela Titmuss
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
- Department of Paediatrics, Division of WomenChildren and Youth, Royal Darwin HospitalCasuarinaNorthern TerritoryAustralia
| | - Alison Simmonds
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
| | - Paul Z. Zimmet
- Department of DiabetesCentral Clinical School, Monash UniversityClaytonVictoriaAustralia
| | - Alex D. H. Brown
- University of AdelaideAdelaideSouth AustraliaAustralia
- South Australian Health and Medical Research InstituteAdelaideSouth AustraliaAustralia
| | - Sumaria Corpus
- Aboriginal and Torres Strait Islander Advisory GroupMenzies School of Health Research, Charles Darwin UniversityCasuarinaNorthern TerritoryAustralia
| | | | - Louise J. Maple‐Brown
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
- Department of EndocrinologyRoyal Darwin HospitalDarwinNorthern TerritoryAustralia
- Aboriginal and Torres Strait Islander Advisory GroupMenzies School of Health Research, Charles Darwin UniversityCasuarinaNorthern TerritoryAustralia
| | | |
Collapse
|
4
|
Liu J, Bai R, Chai Z, Cooper ME, Zimmet PZ, Zhang L. Low- and middle-income countries demonstrate rapid growth of type 2 diabetes: an analysis based on Global Burden of Disease 1990-2019 data. Diabetologia 2022; 65:1339-1352. [PMID: 35587275 PMCID: PMC9118183 DOI: 10.1007/s00125-022-05713-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 02/22/2022] [Indexed: 12/13/2022]
Abstract
AIMS/HYPOTHESIS The study aims to quantify the global trend of the disease burden of type 2 diabetes caused by various risks factors by country income tiers. METHODS Data on type 2 diabetes, including mortality and disability-adjusted life years (DALYs) during 1990-2019, were obtained from the Global Burden of Disease Study 2019. We analysed mortality and DALY rates and the population attributable fraction (PAF) in various risk factors of type 2 diabetes by country income tiers. RESULTS Globally, the age-standardised death rate (ASDR) attributable to type 2 diabetes increased from 16.7 (15.7, 17.5)/100,000 person-years in 1990 to 18.5 (17.2, 19.7)/100,000 person-years in 2019. Similarly, age-standardised DALY rates increased from 628.3 (537.2, 730.9)/100,000 person-years to 801.5 (670.6, 954.4)/100,000 person-years during 1990-2019. Lower-middle-income countries reported the largest increase in the average annual growth of ASDR (1.3%) and an age-standardised DALY rate (1.6%) of type 2 diabetes. The key PAF attributing to type 2 diabetes deaths/DALYs was high BMI in countries of all income tiers. With the exception of BMI, while in low- and lower-middle-income countries, risk factors attributable to type 2 diabetes-related deaths and DALYs are mostly environment-related, the risk factors in high-income countries are mostly lifestyle-related. CONCLUSIONS/INTERPRETATION Type 2 diabetes disease burden increased globally, but low- and middle-income countries showed the highest growth rate. A high BMI level remained the key contributing factor in all income tiers, but environmental and lifestyle-related factors contributed differently across income tiers. DATA AVAILABILITY To download the data used in these analyses, please visit the Global Health Data Exchange at http://ghdx.healthdata.org/gbd-2019 .
Collapse
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, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Ruhai Bai
- School of Public Affairs, Nanjing University of Science and Technology, Nanjing, China
| | - Zhonglin Chai
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Mark E Cooper
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Paul Z Zimmet
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Lei Zhang
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
- Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC, Australia.
- Central Clinical School, Faculty of Medicine, Monash University, Melbourne, VIC, Australia.
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
| |
Collapse
|
5
|
Wang W, Chai Z, Cooper ME, Zimmet PZ, Guo H, Ding J, Yang F, Chen X, Lin X, Zhang K, Zhong Q, Li Z, Zhang P, Wu Z, Guan X, Zhang L, He K. High Fasting Blood Glucose Level With Unknown Prior History of Diabetes Is Associated With High Risk of Severe Adverse COVID-19 Outcome. Front Endocrinol (Lausanne) 2021; 12:791476. [PMID: 34956098 PMCID: PMC8692378 DOI: 10.3389/fendo.2021.791476] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 11/15/2021] [Indexed: 01/08/2023] Open
Abstract
Background We aimed to understand how glycaemic levels among COVID-19 patients impact their disease progression and clinical complications. Methods We enrolled 2,366 COVID-19 patients from Huoshenshan hospital in Wuhan. We stratified the COVID-19 patients into four subgroups by current fasting blood glucose (FBG) levels and their awareness of prior diabetic status, including patients with FBG<6.1mmol/L with no history of diabetes (group 1), patients with FBG<6.1mmol/L with a history of diabetes diagnosed (group 2), patients with FBG≥6.1mmol/L with no history of diabetes (group 3) and patients with FBG≥6.1mmol/L with a history of diabetes diagnosed (group 4). A multivariate cause-specific Cox proportional hazard model was used to assess the associations between FBG levels or prior diabetic status and clinical adversities in COVID-19 patients. Results COVID-19 patients with higher FBG and unknown diabetes in the past (group 3) are more likely to progress to the severe or critical stage than patients in other groups (severe: 38.46% vs 23.46%-30.70%; critical 7.69% vs 0.61%-3.96%). These patients also have the highest abnormal level of inflammatory parameters, complications, and clinical adversities among all four groups (all p<0.05). On day 21 of hospitalisation, group 3 had a significantly higher risk of ICU admission [14.1% (9.6%-18.6%)] than group 4 [7.0% (3.7%-10.3%)], group 2 [4.0% (0.2%-7.8%)] and group 1 [2.1% (1.4%-2.8%)], (P<0.001). Compared with group 1 who had low FBG, group 3 demonstrated 5 times higher risk of ICU admission events during hospitalisation (HR=5.38, 3.46-8.35, P<0.001), while group 4, where the patients had high FBG and prior diabetes diagnosed, also showed a significantly higher risk (HR=1.99, 1.12-3.52, P=0.019), but to a much lesser extent than in group 3. Conclusion Our study shows that COVID-19 patients with current high FBG levels but unaware of pre-existing diabetes, or possibly new onset diabetes as a result of COVID-19 infection, have a higher risk of more severe adverse outcomes than those aware of prior diagnosis of diabetes and those with low current FBG levels.
Collapse
Affiliation(s)
- Wenjun Wang
- Key Laboratory of Ministry of Industry and Information Technology of Biomedical Engineering and Translational Medicine, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Translational Medical Research Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Medical Artificial Intelligence Research Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Medical Big Data Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Zhonglin Chai
- Department of Diabetes, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - Mark E. Cooper
- Department of Diabetes, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - Paul Z. Zimmet
- Department of Diabetes, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - Hua Guo
- Department of Pulmonary and Critical Care Medicine, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Junyu Ding
- Department of Pulmonary and Critical Care Medicine, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Feifei Yang
- Key Laboratory of Ministry of Industry and Information Technology of Biomedical Engineering and Translational Medicine, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Translational Medical Research Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Medical Artificial Intelligence Research Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Medical Big Data Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Xu Chen
- Key Laboratory of Ministry of Industry and Information Technology of Biomedical Engineering and Translational Medicine, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Translational Medical Research Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Medical Artificial Intelligence Research Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Medical Big Data Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Xixiang Lin
- Key Laboratory of Ministry of Industry and Information Technology of Biomedical Engineering and Translational Medicine, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Translational Medical Research Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Medical Artificial Intelligence Research Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Medical Big Data Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Kai Zhang
- Key Laboratory of Ministry of Industry and Information Technology of Biomedical Engineering and Translational Medicine, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Qin Zhong
- Key Laboratory of Ministry of Industry and Information Technology of Biomedical Engineering and Translational Medicine, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Translational Medical Research Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Medical Artificial Intelligence Research Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Medical Big Data Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Zongren Li
- Key Laboratory of Ministry of Industry and Information Technology of Biomedical Engineering and Translational Medicine, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Translational Medical Research Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Medical Artificial Intelligence Research Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Medical Big Data Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Peifang Zhang
- BioMind Technology, Zhongguancun Medical Engineering Center, Beijing, China
| | - Zhenzhou Wu
- BioMind Technology, Zhongguancun Medical Engineering Center, Beijing, China
| | - Xizhou Guan
- Department of Pulmonary and Critical Care Medicine, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Lei Zhang
- Department of Diabetes, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Artificial Intelligence and Modelling in Epidemiology Program, Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC, Australia
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Kunlun He
- Key Laboratory of Ministry of Industry and Information Technology of Biomedical Engineering and Translational Medicine, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Translational Medical Research Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Medical Artificial Intelligence Research Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Medical Big Data Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| |
Collapse
|
6
|
Wood AJ, Boyle JA, Barr ELM, Barzi F, Hare MJL, Titmuss A, Longmore DK, Death E, Kelaart J, Kirkwood M, Graham S, Connors C, Moore E, O'Dea K, Oats JJN, McIntyre HD, Zimmet PZ, Lu ZX, Brown A, Shaw JE, Maple-Brown LJ. Type 2 diabetes after a pregnancy with gestational diabetes among first nations women in Australia: The PANDORA study. Diabetes Res Clin Pract 2021; 181:109092. [PMID: 34653565 DOI: 10.1016/j.diabres.2021.109092] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 07/22/2021] [Accepted: 09/29/2021] [Indexed: 11/20/2022]
Abstract
AIMS To determine among First Nations and Europid pregnant women the cumulative incidence and predictors of postpartum type 2 diabetes and prediabetes and describe postpartum cardiovascular disease (CVD) risk profiles. METHODS PANDORA is a prospective longitudinal cohort of women recruited in pregnancy. Ethnic-specific rates of postpartum type 2 diabetes and prediabetes were reported for women with diabetes in pregnancy (DIP), gestational diabetes (GDM) or normoglycaemia in pregnancy over a short follow-up of 2.5 years (n = 325). Pregnancy characteristics and CVD risk profiles according to glycaemic status, and factors associated with postpartum diabetes/prediabetes were examined in First Nations women. RESULTS The cumulative incidence of postpartum type 2 diabetes among women with DIP or GDM were higher for First Nations women (48%, 13/27, women with DIP, 13%, 11/82, GDM), compared to Europid women (nil DIP or GDM p < 0.001). Characteristics associated with type 2 diabetes/prediabetes among First Nations women with GDM/DIP included, older age, multiparity, family history of diabetes, higher glucose values, insulin use and body mass index (BMI). CONCLUSIONS First Nations women experience a high incidence of postpartum type 2 diabetes after GDM/DIP, highlighting the need for culturally responsive policies at an individual and systems level, to prevent diabetes and its complications.
Collapse
Affiliation(s)
- Anna J Wood
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia; Department of Endocrinology, Royal Darwin Hospital, 58 Rocklands Drive, Tiwi, NT 0810, Australia.
| | - Jacqueline A Boyle
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia; Monash Centre for Health Research and Implementation, Monash University, 43-51 Kanooka Grove, Clayton, Vic 3168, Australia
| | - Elizabeth L M Barr
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia; Baker Heart and Diabetes Institute, 75 Commercial Road, Vic 3004, Australia
| | - Federica Barzi
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia; UQ Poche Centre for Indigenous Health, The University of Queensland, 31 Upland Road, St Lucia, QLD 4067, Australia
| | - Matthew J L Hare
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia; Department of Endocrinology, Royal Darwin Hospital, 58 Rocklands Drive, Tiwi, NT 0810, Australia
| | - Angela Titmuss
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia; Department of Paediatrics, Division of Women, Children and Youth, Royal Darwin Hospital, 58 Rocklands Drive, Tiwi, NT 0810, Australia
| | - Danielle K Longmore
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia
| | - Elizabeth Death
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia
| | - Joanna Kelaart
- Baker Heart and Diabetes Institute, 75 Commercial Road, Vic 3004, Australia
| | - Marie Kirkwood
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia
| | - Sian Graham
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia
| | - Christine Connors
- Top End Health Service, Northern Territory Department of Health, P.O. Box 41326, Casuarina, NT 0811, Australia
| | - Elizabeth Moore
- Aboriginal Medical Services Alliance Northern Territory, 43 Mitchell Street, Darwin City, NT 0800, Australia
| | - Kerin O'Dea
- University of South Australia, 101 Currie Street, SA 5001, Australia
| | - Jeremy J N Oats
- Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie Street, Carlton, Vic 3053, Australia
| | - Harold D McIntyre
- Mater Research, The University of Queensland, Raymond Terrace, South Brisbane, QLD 4101, Australia
| | - Paul Z Zimmet
- Department of Diabetes, Central Clinical School, Monash University, Wellington Road, Clayton, Vic 3800, Australia
| | - Zhong X Lu
- Monash Health Pathology, Monash Health, Clayton Road, Clayton, Vic 3168, Australia; Department of Medicine, Monash University, Wellington Road, Clayton, Vic 3800, Australia
| | - Alex Brown
- University of Adelaide, SA 5005, Australia; South Australian Health and Medical Research Institute, North Terrace, SA 5000, Australia
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, 75 Commercial Road, Vic 3004, Australia
| | - Louise J Maple-Brown
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia; Department of Endocrinology, Royal Darwin Hospital, 58 Rocklands Drive, Tiwi, NT 0810, Australia
| |
Collapse
|
7
|
Sacre JW, Holmes‐Truscott E, Salim A, Anstey KJ, Drummond GR, Huxley RR, Magliano DJ, van Wijngaarden P, Zimmet PZ, Speight J, Shaw JE. Impact of the COVID-19 pandemic and lockdown restrictions on psychosocial and behavioural outcomes among Australian adults with type 2 diabetes: Findings from the PREDICT cohort study. Diabet Med 2021; 38:e14611. [PMID: 34053106 PMCID: PMC8237067 DOI: 10.1111/dme.14611] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 04/08/2021] [Accepted: 05/26/2021] [Indexed: 12/14/2022]
Abstract
AIM To examine psychosocial and behavioural impacts of the novel coronavirus disease 2019 (COVID-19) pandemic and lockdown restrictions among adults with type 2 diabetes. METHODS Participants enrolled in the PRogrEssion of DIabetic ComplicaTions (PREDICT) cohort study in Melbourne, Australia (n = 489 with a baseline assessment pre-2020) were invited to complete a phone/online follow-up assessment in mid-2020 (i.e., amidst COVID-19 lockdown restrictions). Repeated assessments that were compared with pre-COVID-19 baseline levels included anxiety symptoms (7-item Generalised Anxiety Disorder scale [GAD-7]), depressive symptoms (8-item Patient Health Questionnaire [PHQ-8]), diabetes distress (Problem Areas in Diabetes scale [PAID]), physical activity/sedentary behaviour, alcohol consumption and diabetes self-management behaviours. Additional once-off measures at follow-up included COVID-19-specific worry, quality of life (QoL), and healthcare appointment changes (telehealth engagement and appointment cancellations/avoidance). RESULTS Among 470 respondents (96%; aged 66 ± 9 years, 69% men), at least 'moderate' worry about COVID-19 infection was reported by 31%, and 29%-73% reported negative impacts on QoL dimensions (greatest for: leisure activities, feelings about the future, emotional well-being). Younger participants reported more negative impacts (p < 0.05). Overall, anxiety/depressive symptoms were similar at follow-up compared with pre-COVID-19, but diabetes distress reduced (p < 0.001). Worse trajectories of anxiety/depressive symptoms were observed among those who reported COVID-19-specific worry or negative QoL impacts (p < 0.05). Physical activity trended lower (~10%), but sitting time, alcohol consumption and glucose-monitoring frequency remained unchanged. 73% of participants used telehealth, but 43% cancelled a healthcare appointment and 39% avoided new appointments despite perceived need. CONCLUSIONS COVID-19 lockdown restrictions negatively impacted QoL, some behavioural risk factors and healthcare utilisation in adults with type 2 diabetes. However, generalised anxiety and depressive symptoms remained relatively stable.
Collapse
Affiliation(s)
| | - Elizabeth Holmes‐Truscott
- School of PsychologyDeakin UniversityGeelongVic.Australia
- The Australian Centre for Behavioural Research in DiabetesMelbourneVic.Australia
| | - Agus Salim
- Baker Heart and Diabetes InstituteMelbourneVic.Australia
- Department of Mathematics and StatisticsLa Trobe UniversityMelbourneVic.Australia
- Centre for Epidemiology and BiostatisticsMelbourne School of Population and Global HealthThe University of MelbourneMelbourneVic.Australia
| | - Kaarin J. Anstey
- UNSW Ageing Futures InstituteUniversity of New South WalesSydneyNSWAustralia
- Neuroscience Research AustraliaSydneyNSWAustralia
| | - Grant R. Drummond
- Baker Heart and Diabetes InstituteMelbourneVic.Australia
- Centre for Cardiovascular Biology and Disease Research, Department of Physiology, Anatomy and Microbiology, School of Life SciencesLa Trobe UniversityMelbourneVic.Australia
| | | | - Dianna J. Magliano
- Baker Heart and Diabetes InstituteMelbourneVic.Australia
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVic.Australia
| | - Peter van Wijngaarden
- Centre for Eye Research AustraliaRoyal Victorian Eye and Ear HospitalMelbourneVic.Australia
- OphthalmologyDepartment of SurgeryUniversity of MelbourneMelbourneVic.Australia
| | - Paul Z. Zimmet
- Department of DiabetesCentral Clinical SchoolMonash UniversityMelbourneVic.Australia
| | - Jane Speight
- School of PsychologyDeakin UniversityGeelongVic.Australia
- The Australian Centre for Behavioural Research in DiabetesMelbourneVic.Australia
| | - Jonathan E. Shaw
- Baker Heart and Diabetes InstituteMelbourneVic.Australia
- School of Life SciencesLa Trobe UniversityMelbourneVic.Australia
| |
Collapse
|
8
|
Carrington MJ, Zimmet PZ. Nurse co-ordinated health and lifestyle modification for reducing multiple cardio-metabolic risk factors in regional adults: outcomes from the MODERN randomized controlled trial. Eur J Cardiovasc Nurs 2021; 21:26-35. [PMID: 33899090 DOI: 10.1093/eurjcn/zvab042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Accepted: 03/16/2021] [Indexed: 11/14/2022]
Abstract
BACKGROUND Nurse-led health and lifestyle modification programmes can prevent cardio-metabolic diseases and be advantageous where health disparities exist. AIMS To assess the effectiveness of a nurse-driven health and lifestyle modification programme in improving cardio-metabolic risk parameters for higher-risk regional residing adults. METHODS We conducted an open, parallel-group randomized controlled trial in two sites. Participants were aged 40-70 years with no prior cardiovascular disease who had any three or more of; central obesity, elevated triglycerides, reduced high-density lipoprotein cholesterol, elevated blood pressure (BP) and dysglycaemia. Intervention participants received individual face-to-face and telephone coaching for improving cardio-metabolic risk. Control group participants received standard care and general information about risk factor management. The primary endpoint was the percentage of participants who achieved the target risk factor thresholds or clinically significant minimum changes for any three or more cardio-metabolic risk factors during 24 months of follow-up. RESULTS Participant average age was 57.6 (SD 7.6) years, 61% were female and 71% were employed. The primary endpoint was achieved by 76% intervention (97 of 127) and 71% usual care (92 of 129) participants [adjusted risk ratio (RR): 1.08; 95% CI 0.94, 1.24; P = 0.298]. Improved BP in the intervention group was more likely than in the control group (84% vs. 65%) (adj. RR: 1.28; 95% CI 1.11, 1.48; P = 0.001) but no other cardio-metabolic component. CONCLUSION Nurse intervention to modify cardio-metabolic risk parameters had no enhanced effectiveness compared with usual care. However, participation was associated with improvements in cardio-metabolic abnormalities, with particular emphasis on BP. TRIAL REGISTRATION Registered with the Australian New Zealand Clinical Trial Registry (ACTRN12616000229471).
Collapse
Affiliation(s)
- Melinda J Carrington
- Pre-Clinical Disease and Prevention Unit, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne VIC 3004, Australia
| | - Paul Z Zimmet
- Department of Diabetes, Faculty of Medicine, Nursing and Health Sciences, Monash University, 99 Commercial Road, Melbourne VIC 3004, Australia
| |
Collapse
|
9
|
Sacre JW, Magliano DJ, Zimmet PZ, Polkinghorne KR, Chadban SJ, Anstey KJ, Shaw JE. Associations of Chronic Kidney Disease Markers with Cognitive Function: A 12-Year Follow-Up Study. J Alzheimers Dis 2020; 70:S19-S30. [PMID: 30372677 PMCID: PMC6700620 DOI: 10.3233/jad-180498] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Background: The role of chronic kidney disease (CKD) as a risk factor for cognitive impairment independent of their shared antecedents remains controversial. Objective: To determine whether kidney damage (indicated by albuminuria) or kidney dysfunction (estimated glomerular filtration rate [eGFR] <60 ml/min/1.73 m2) predict future (12-year) cognitive function independently of their shared risk factors. Methods: We studied 4,128 individuals from the 1999/00 population-based Australian Diabetes, Obesity, and Lifestyle (AusDiab) Study who returned in 2011/12 for follow-up cognitive function testing. Albuminuria was defined by urinary albumin:creatinine≥3.5 (women) or≥2.5 mg/mmol (men). Kidney dysfunction was indicated by eGFR <60 ml/min/1.73 m2. Cognitive function domains assessed included memory (California Verbal Learning Test [CVLT]) and processing speed (Symbol Digit Modalities Test [SDMT]). Results: Baseline albuminuria and kidney dysfunction were identified in 142 (3.4%) and 39 (0.9%) individuals, respectively, with minimal overlap (n = 7). Those with albuminuria demonstrated concurrently reduced 12-year SDMT (p = 0.084) and CVLT scores (p = 0.005) following adjustment for age, sex, and education. However, only CVLT performance remained worse (p = 0.027) following additional adjustment for myocardial infarction, stroke, and related risk factors (hypertension, diabetes, dyslipidemia, smoking, BMI, physical activity, and alcohol intake). Indeed, these collective covariates were responsible for 47% of the effect of albuminuria on SDMT, but only 21% of its effect on CVLT. Kidney dysfunction was not associated with either SDMT or CVLT performance (p > 0.10). Conclusions: Albuminuria predicted worse memory function at 12 years follow-up, whereas its effect on processing speed was driven largely by differences in cardiovascular risk. Kidney dysfunction based on eGFR predicted neither cognitive domain.
Collapse
Affiliation(s)
- Julian W Sacre
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.,Department of Medicine and Aged Care, Royal Melbourne Hospital, The University of Melbourne, Melbourne, VIC, Australia
| | | | - Paul Z Zimmet
- Department of Diabetes, Monash University, Melbourne, VIC, Australia
| | - Kevan R Polkinghorne
- Department of Nephrology, Monash Medical Centre, Monash Health, Melbourne, VIC, Australia.,School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.,Department of Medicine, Monash University, Melbourne, VIC, Australia
| | - Steven J Chadban
- Sydney Medical School, University of Sydney, NSW, Australia.,Department of Renal Medicine, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Kaarin J Anstey
- School of Psychology, University of New South Wales, Sydney, NSW, Australia.,Neuroscience Research Australia, Sydney, NSW, Australia
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| |
Collapse
|
10
|
Sathish T, Oldenburg B, Thankappan KR, Absetz P, Shaw JE, Tapp RJ, Zimmet PZ, Balachandran S, Shetty SS, Aziz Z, Mahal A. Cost-effectiveness of a lifestyle intervention in high-risk individuals for diabetes in a low- and middle-income setting: Trial-based analysis of the Kerala Diabetes Prevention Program. BMC Med 2020; 18:251. [PMID: 32883279 PMCID: PMC7472582 DOI: 10.1186/s12916-020-01704-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 07/10/2020] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Data on the cost-effectiveness of lifestyle-based diabetes prevention programs are mostly from high-income countries, which cannot be extrapolated to low- and middle-income countries. We performed a trial-based cost-effectiveness analysis of a lifestyle intervention targeted at preventing diabetes in India. METHODS The Kerala Diabetes Prevention Program was a cluster-randomized controlled trial of 1007 individuals conducted in 60 polling areas (electoral divisions) in Kerala state. Participants (30-60 years) were those with a high diabetes risk score and without diabetes on an oral glucose tolerance test. The intervention group received a 12-month peer-support lifestyle intervention involving 15 group sessions delivered in community settings by trained lay peer leaders. There were also linked community activities to sustain behavior change. The control group received a booklet on lifestyle change. Costs were estimated from the health system and societal perspectives, with 2018 as the reference year. Effectiveness was measured in terms of the number of diabetes cases prevented and quality-adjusted life years (QALYs). Three times India's gross domestic product per capita (US$6108) was used as the cost-effectiveness threshold. The analyses were conducted with a 2-year time horizon. Costs and effects were discounted at 3% per annum. One-way and multi-way sensitivity analyses were performed. RESULTS Baseline characteristics were similar in the two study groups. Over 2 years, the intervention resulted in an incremental health system cost of US$2.0 (intervention group: US$303.6; control group: US$301.6), incremental societal cost of US$6.2 (intervention group: US$367.8; control group: US$361.5), absolute risk reduction of 2.1%, and incremental QALYs of 0.04 per person. From a health system perspective, the cost per diabetes case prevented was US$95.2, and the cost per QALY gained was US$50.0. From a societal perspective, the corresponding figures were US$295.1 and US$155.0. For the number of diabetes cases prevented, the probability for the intervention to be cost-effective was 84.0% and 83.1% from the health system and societal perspectives, respectively. The corresponding figures for QALY gained were 99.1% and 97.8%. The results were robust to discounting and sensitivity analyses. CONCLUSIONS A community-based peer-support lifestyle intervention was cost-effective in individuals at high risk of developing diabetes in India over 2 years. TRIAL REGISTRATION The trial was registered with Australia and New Zealand Clinical Trials Registry ( ACTRN12611000262909 ). Registered 10 March 2011.
Collapse
Affiliation(s)
- Thirunavukkarasu Sathish
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia. .,Population Health Research Institute, McMaster University, 237 Barton Street East, Hamilton, L8L 2X2, ON, Canada.
| | - Brian Oldenburg
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.,WHO Collaborating Centre on Implementation Research for Prevention & Control of NCDs, University of Melbourne, Melbourne, Australia
| | - Kavumpurathu R Thankappan
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India.,Department of Public Health and Community Medicine, Central University of Kerala, Kasaragod, Kerala, India
| | - Pilvikki Absetz
- Department of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.,Faculty of Social Sciences, Tampere University, Tampere, Finland
| | | | - Robyn J Tapp
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.,School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.,Centre for Intelligent Healthcare, Faculty of Health and Life Sciences, Coventry University, Coventry, Australia
| | - Paul Z Zimmet
- Central Clinical School, Monash University, Melbourne, UK
| | - Sajitha Balachandran
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India.,Population Research Centre, University of Kerala, Trivandrum, Kerala, India
| | - Suman S Shetty
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Zahra Aziz
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.,School of Psychological Sciences, Monash University, Melbourne, Kerala, Australia
| | - Ajay Mahal
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| |
Collapse
|
11
|
Campbell MD, Sathish T, Zimmet PZ, Thankappan KR, Oldenburg B, Owens DR, Shaw JE, Tapp RJ. Benefit of lifestyle-based T2DM prevention is influenced by prediabetes phenotype. Nat Rev Endocrinol 2020; 16:395-400. [PMID: 32060416 DOI: 10.1038/s41574-019-0316-1] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/23/2019] [Indexed: 01/11/2023]
Abstract
The prevention of type 2 diabetes mellitus (T2DM) is a target priority for the WHO and the United Nations and is a key priority in the 2018 Berlin Declaration, which is a global call for early actions related to T2DM. Health-care policies advocate that individuals at high risk of developing T2DM undertake lifestyle modification, irrespective of whether the prediabetes phenotype is defined by hyperglycaemia in the postprandial state (impaired glucose tolerance) and/or fasting state (impaired fasting glucose) or by intermediate HbA1c levels. However, current evidence indicates that diabetes prevention programmes based on lifestyle change have not been successful in preventing T2DM in individuals with isolated impaired fasting glucose. We propose that further research is needed to identify effective lifestyle interventions for individuals with isolated impaired fasting glucose. Furthermore, we call for the identification of innovative approaches that better identify people with impaired glucose tolerance, who benefit from the currently available lifestyle-based diabetes prevention programmes.
Collapse
Affiliation(s)
- Matthew D Campbell
- School of Food Science and Nutrition, University of Leeds, Leeds, UK
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
- School of Food Science and Bioengineering, Zhejiang Gongshang University, Hangzhou, China
| | - Thirunavukkarasu Sathish
- Population Health Research Institute, McMaster University, Hamilton, ON, Canada
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
- Centre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Paul Z Zimmet
- Department of Diabetes, Central Clinical School, Monash University, Clayton, VIC, Australia
| | | | - Brian Oldenburg
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
- WHO Collaborating Centre on Implementation Research for Prevention and Control of Noncommunicable Diseases, University of Melbourne, Melbourne, VIC, Australia
| | - David R Owens
- Diabetes Research Unit Cymru, Swansea University, Swansea, UK
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Robyn J Tapp
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia.
- Population Health Research Institute, St George's, University of London, London, UK.
| |
Collapse
|
12
|
Rubino F, Cohen RV, Mingrone G, le Roux CW, Mechanick JI, Arterburn DE, Vidal J, Alberti G, Amiel SA, Batterham RL, Bornstein S, Chamseddine G, Del Prato S, Dixon JB, Eckel RH, Hopkins D, McGowan BM, Pan A, Patel A, Pattou F, Schauer PR, Zimmet PZ, Cummings DE. Bariatric and metabolic surgery during and after the COVID-19 pandemic: DSS recommendations for management of surgical candidates and postoperative patients and prioritisation of access to surgery. Lancet Diabetes Endocrinol 2020; 8:640-648. [PMID: 32386567 PMCID: PMC7252156 DOI: 10.1016/s2213-8587(20)30157-1] [Citation(s) in RCA: 120] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 04/23/2020] [Accepted: 04/24/2020] [Indexed: 01/08/2023]
Abstract
The coronavirus disease 2019 pandemic is wreaking havoc on society, especially health-care systems, including disrupting bariatric and metabolic surgery. The current limitations on accessibility to non-urgent care undermine postoperative monitoring of patients who have undergone such operations. Furthermore, like most elective surgery, new bariatric and metabolic procedures are being postponed worldwide during the pandemic. When the outbreak abates, a backlog of people seeking these operations will exist. Hence, surgical candidates face prolonged delays of beneficial treatment. Because of the progressive nature of obesity and diabetes, delaying surgery increases risks for morbidity and mortality, thus requiring strategies to mitigate harm. The risk of harm, however, varies among patients, depending on the type and severity of their comorbidities. A triaging strategy is therefore needed. The traditional weight-centric patient-selection criteria do not favour cases based on actual clinical needs. In this Personal View, experts from the Diabetes Surgery Summit consensus conference series provide guidance for the management of patients while surgery is delayed and for postoperative surveillance. We also offer a strategy to prioritise bariatric and metabolic surgery candidates on the basis of the diseases that are most likely to be ameliorated postoperatively. Although our system will be particularly germane in the immediate future, it also provides a framework for long-term clinically meaningful prioritisation.
Collapse
Affiliation(s)
- Francesco Rubino
- Department of Diabetes, School of Life Course Sciences, King's College London, London, UK; Bariatric and Metabolic Surgery, King's College Hospital, London, UK.
| | - Ricardo V Cohen
- Center for the treatment of Obesity and Diabetes, Oswaldo Cruz German Hospital, Sao Paulo, Brazil
| | - Geltrude Mingrone
- Department of Diabetes, School of Life Course Sciences, King's College London, London, UK; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy; Università Cattolica del Sacro Cuore, Rome, Italy
| | - Carel W le Roux
- Diabetes Complications Research Centre, Conway Institute, University College of Dublin, Dublin, Ireland
| | - Jeffrey I Mechanick
- The Marie-Josee and Henry R Kravis Center for Clinical Cardiovascular Health at Mount Sinai Heart, New York, NY, USA; Divisions of Cardiology and Endocrinology, Diabetes, and Bone Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - David E Arterburn
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA; Department of Medicine, Division of General Internal Medicine, University of Washington, Seattle, WA, USA
| | - Josep Vidal
- Endocrinology and Nutrition Department, Hospital Clinic Universitari, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi Sunyer, Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Madrid, Spain
| | - George Alberti
- Department of Endocrinology and Metabolism, Imperial College, London, UK
| | - Stephanie A Amiel
- Department of Diabetes, School of Life Course Sciences, King's College London, London, UK
| | - Rachel L Batterham
- Centre for Obesity Research, University College London, London, UK; University College London Hospitals Bariatric Centre for Weight Management and Metabolic Surgery, London, UK; National Institute of Health Research University College London Hospitals Biomedical Research Centre, London, UK
| | - Stefan Bornstein
- Paul Langerhans Institute Dresden, Helmholtz Center Munich at the University Hospital Carl Gustav Carus and Faculty of Medicine, Technical University Dresden, Dresden, Germany
| | | | - Stefano Del Prato
- Department of Clinical and Experimental Medicine, Section of Metabolic Diseases and Diabetes, University of Pisa, Pisa, Italy
| | - John B Dixon
- Iverson Health Innovation Research Institute, Swinburne University, Melbourne, VIC, Australia
| | - Robert H Eckel
- Division of Endocrinology, Metabolism and Diabetes and Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - David Hopkins
- King's Health Partners' Institute of Diabetes, Endocrinology and Obesity, London, UK
| | - Barbara M McGowan
- Institute of Diabetes, Endocrinology and Obesity, Guy's and St Thomas' National Health Service Foundation Trust, London, UK
| | - An Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ameet Patel
- Bariatric and Metabolic Surgery, King's College Hospital, London, UK
| | - François Pattou
- European Genomic Institute for Diabetes, Lille, France; Translational Research for Diabetes, University of Lille, Inserm, Centre Hospitalier Regional Universitaire, Lille, France
| | - Philip R Schauer
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - Paul Z Zimmet
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - David E Cummings
- University of Washington Medicine Diabetes Institute, University of Washington, Seattle, WA, USA; Weight Management Program, Veterans Affairs Puget Sound Health Care System, University of Washington, Seattle, WA, USA
| |
Collapse
|
13
|
Magliano DJ, Sacre JW, Harding JL, Gregg EW, Zimmet PZ, Shaw JE. Young-onset type 2 diabetes mellitus - implications for morbidity and mortality. Nat Rev Endocrinol 2020; 16:321-331. [PMID: 32203408 DOI: 10.1038/s41574-020-0334-z] [Citation(s) in RCA: 186] [Impact Index Per Article: 46.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/13/2020] [Indexed: 12/20/2022]
Abstract
Accumulating data suggest that type 2 diabetes mellitus (T2DM) in younger people (aged <40 years), referred to as young-onset T2DM, has a more rapid deterioration of β-cell function than is seen in later-onset T2DM. Furthermore, individuals with young-onset T2DM seem to have a higher risk of complications than those with type 1 diabetes mellitus. As the number of younger adults with T2DM increases, young-onset T2DM is predicted to become a more frequent feature of the broader diabetes mellitus population in both developing and developed nations, particularly in certain ethnicities. However, the magnitude of excess risk of premature death and incident complications remains incompletely understood; likewise, the potential reasons for this excess risk are unclear. Here, we review the evidence pertaining to young-onset T2DM and its current and future burden of disease in terms of incidence and prevalence in both developed and developing nations. In addition, we highlight the associations of young-onset T2DM with premature mortality and morbidity.
Collapse
Affiliation(s)
- Dianna J Magliano
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
- Monash University, School of Public Health and Preventive Medicine, Melbourne, Victoria, Australia.
| | - Julian W Sacre
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Jessica L Harding
- Division of Diabetes Translation, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA
| | - Edward W Gregg
- Faculty of Medicine, School of Public Health, Imperial College, London, UK
| | - Paul Z Zimmet
- Monash University, Department of Diabetes, Melbourne, Victoria, Australia
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Monash University, School of Public Health and Preventive Medicine, Melbourne, Victoria, Australia
| |
Collapse
|
14
|
Zimmet PZ, Rutherford JD. Reflections on the Evolving Global Diabetes Epidemic: A Conversation With Paul Z. Zimmet, MBBS, MD, PhD. Circulation 2019; 140:1140-1144. [PMID: 31567023 DOI: 10.1161/circulationaha.119.041709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
|
15
|
Tabesh M, Shaw JE, Zimmet PZ, Söderberg S, Koye DN, Kowlessur S, Timol M, Joonas N, Sorefan A, Gayan P, Alberti KGMM, Tuomilehto J, Magliano DJ. Association between type 2 diabetes mellitus and disability: What is the contribution of diabetes risk factors and diabetes complications? J Diabetes 2018; 10:744-752. [PMID: 29508937 DOI: 10.1111/1753-0407.12659] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 02/18/2018] [Accepted: 02/28/2018] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND The aim of this study was to evaluate the association between type 2 diabetes and disability in Mauritius and to assess the extent to which the effect of diabetes is explained by diabetes risk factors and concomitant complications. METHODS Data from a national survey in the multiethnic nation of Mauritius, which comprises South Asians and African Creoles, were analyzed. Disability was measured using the Katz activities of daily living questionnaire in participants aged >50 years. RESULTS Among 3692 participants, 487 (13.2%) had some level of disability. Diabetes was associated with significantly higher risk of disability (odds ratio [OR] 1.67; 95% confidence interval [CI] 1.34-2.08). After adjusting for demographic, behavioral, and metabolic factors, as well as comorbidities, disability was significantly associated with diabetes among African Creoles (OR 2.03; 95% CI 1.16-3.56), but not South Asians (OR 1.27; 95% CI 0.98-1.66). Obesity explained much of the association between diabetes and disability (excess percentage of risk: 26.3% in South Asians and 12.1% in African Creoles). Obesity, history of cardiovascular disease (CVD), asthma-like symptoms, and depression together explained 46.5% and 29.0% of the excess risk in South Asians and African Creoles, respectively. CONCLUSIONS Diabetes is associated with a 67% increased risk of disability. Diabetes risk factors and comorbidities explain more of the association between diabetes and disability among South Asians than Africans. Obesity and history of CVD explained the largest percentage of the relationship between diabetes and disability, indicating that weight and CVD management may be helpful in controlling disability related to diabetes.
Collapse
Affiliation(s)
- Maryam Tabesh
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Paul Z Zimmet
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Medicine, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Stefan Söderberg
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Digsu N Koye
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | | | - Maryam Timol
- Ministry of Health and Quality of Life, Port Louis, Mauritius
| | | | - Ameena Sorefan
- Ministry of Health and Quality of Life, Port Louis, Mauritius
| | - Praneel Gayan
- Ministry of Health and Quality of Life, Port Louis, Mauritius
| | - K George M M Alberti
- Department of Endocrinology and Metabolism, St Mary's Hospital and Imperial College, London, UK
| | - Jaakko Tuomilehto
- Chronic Disease Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland
- Dasman Diabetes Institute, Dasman, Kuwait
- Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Dianna J Magliano
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| |
Collapse
|
16
|
Thankappan KR, Sathish T, Tapp RJ, Shaw JE, Lotfaliany M, Wolfe R, Absetz P, Mathews E, Aziz Z, Williams ED, Fisher EB, Zimmet PZ, Mahal A, Balachandran S, D'Esposito F, Sajeev P, Thomas E, Oldenburg B. A peer-support lifestyle intervention for preventing type 2 diabetes in India: A cluster-randomized controlled trial of the Kerala Diabetes Prevention Program. PLoS Med 2018; 15:e1002575. [PMID: 29874236 PMCID: PMC5991386 DOI: 10.1371/journal.pmed.1002575] [Citation(s) in RCA: 105] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Accepted: 04/27/2018] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND The major efficacy trials on diabetes prevention have used resource-intensive approaches to identify high-risk individuals and deliver lifestyle interventions. Such strategies are not feasible for wider implementation in low- and middle-income countries (LMICs). We aimed to evaluate the effectiveness of a peer-support lifestyle intervention in preventing type 2 diabetes among high-risk individuals identified on the basis of a simple diabetes risk score. METHODS AND FINDINGS The Kerala Diabetes Prevention Program was a cluster-randomized controlled trial conducted in 60 polling areas (clusters) of Neyyattinkara taluk (subdistrict) in Trivandrum district, Kerala state, India. Participants (age 30-60 years) were those with an Indian Diabetes Risk Score (IDRS) ≥60 and were free of diabetes on an oral glucose tolerance test (OGTT). A total of 1,007 participants (47.2% female) were enrolled (507 in the control group and 500 in the intervention group). Participants from intervention clusters participated in a 12-month community-based peer-support program comprising 15 group sessions (12 of which were led by trained lay peer leaders) and a range of community activities to support lifestyle change. Participants from control clusters received an education booklet with lifestyle change advice. The primary outcome was the incidence of diabetes at 24 months, diagnosed by an annual OGTT. Secondary outcomes were behavioral, clinical, and biochemical characteristics and health-related quality of life (HRQoL). A total of 964 (95.7%) participants were followed up at 24 months. Baseline characteristics of clusters and participants were similar between the study groups. After a median follow-up of 24 months, diabetes developed in 17.1% (79/463) of control participants and 14.9% (68/456) of intervention participants (relative risk [RR] 0.88, 95% CI 0.66-1.16, p = 0.36). At 24 months, compared with the control group, intervention participants had a greater reduction in IDRS score (mean difference: -1.50 points, p = 0.022) and alcohol use (RR 0.77, p = 0.018) and a greater increase in fruit and vegetable intake (≥5 servings/day) (RR 1.83, p = 0.008) and physical functioning score of the HRQoL scale (mean difference: 3.9 score, p = 0.016). The cost of delivering the peer-support intervention was US$22.5 per participant. There were no adverse events related to the intervention. We did not adjust for multiple comparisons, which may have increased the overall type I error rate. CONCLUSIONS A low-cost community-based peer-support lifestyle intervention resulted in a nonsignificant reduction in diabetes incidence in this high-risk population at 24 months. However, there were significant improvements in some cardiovascular risk factors and physical functioning score of the HRQoL scale. TRIAL REGISTRATION Australia and New Zealand Clinical Trials Registry ACTRN12611000262909.
Collapse
Affiliation(s)
- Kavumpurathu R. Thankappan
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India
| | - Thirunavukkarasu Sathish
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- Centre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- * E-mail:
| | - Robyn J. Tapp
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- Population Health Research Institute, St George’s, University of London, London, United Kingdom
| | - Jonathan E. Shaw
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Mojtaba Lotfaliany
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Rory Wolfe
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Pilvikki Absetz
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- Collaborative Care Systems Finland, Helsinki, Finland
| | - Elezebeth Mathews
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India
- Department of Public Health and Community Medicine, Central University of Kerala, Kasaragod, Kerala, India
| | - Zahra Aziz
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- WHO Collaborating Centre on Implementation Research for Prevention & Control of NCDs, University of Melbourne, Melbourne, Victoria, Australia
| | - Emily D. Williams
- School of Health Sciences, University of Surrey, Guildford, Surrey, United Kingdom
| | - Edwin B. Fisher
- Peers for Progress and Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina, North Carolina, United States of America
| | - Paul Z. Zimmet
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Ajay Mahal
- Nossal Institute for Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Sajitha Balachandran
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India
| | - Fabrizio D'Esposito
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Priyanka Sajeev
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India
- Kerala Social Security Mission, Trivandrum, Kerala, India
| | - Emma Thomas
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Brian Oldenburg
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- WHO Collaborating Centre on Implementation Research for Prevention & Control of NCDs, University of Melbourne, Melbourne, Victoria, Australia
| |
Collapse
|
17
|
Tabesh M, Shaw JE, Zimmet PZ, Soderberg S, Kowlessur S, Timol M, Joonas N, Alberti GMM, Tuomilehto J, Shaw BJ, Magliano DJ. Meeting American Diabetes Association diabetes management targets: trends in Mauritius. Diabet Med 2017; 34:1719-1727. [PMID: 28792634 DOI: 10.1111/dme.13447] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/04/2017] [Indexed: 12/19/2022]
Abstract
AIMS To examine the proportion of people with diabetes in the multi-ethnic country of Mauritius meeting American Diabetes Association targets in 2009 and 2015. METHODS Data from independent population-based samples of 858 and 656 adults with diagnosed diabetes in 2009 and 2015, respectively, were analysed with regard to recommended American Diabetes Association targets for HbA1c , blood pressure and LDL cholesterol. RESULTS In 2015 compared with 2009, the proportion of people achieving American Diabetes Association targets for glycaemic control in Mauritius was higher in women (P≤0.01) and in those with only a primary education level (P=0.07), but not in men or people with a higher level of education. Achievement of blood pressure <140/90 mmHg was higher in 2015 compared with 2009 (60% vs 42%) in people of South Asian ethnicity (P<0.001), but not in those of African ethnicity (P=0.16). The percentages of people with LDL cholesterol <2.59 mmol/l were 42.1% and 50.4%, in 2009 and 2015, respectively (P=0.27). Better control of HbA1c and blood pressure was observed in groups in which that control was poorest in 2009. The use of glucose-, blood pressure- and LDL cholesterol-lowering medication was higher in 2015 than in 2009. CONCLUSIONS In certain subgroups, namely women, those with poorer education and those of South Asian ethnicity, whose target achievement was the poorest in 2009, control of glycaemia and blood pressure was better in 2015 as compared with 2009. While these findings are encouraging, further work is required to improve outcomes.
Collapse
Affiliation(s)
- M Tabesh
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - J E Shaw
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - P Z Zimmet
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Medicine, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - S Soderberg
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Public Health and Clinical Medicine, Umeå University and Heart Center, Umeå, Sweden
| | - S Kowlessur
- Ministry of Health and Quality of Life, Republic of Mauritius
| | - M Timol
- Ministry of Health and Quality of Life, Republic of Mauritius
| | - N Joonas
- Ministry of Health and Quality of Life, Republic of Mauritius
| | - G M M Alberti
- Department of Endocrinology and Metabolism, St Mary's Hospital and Imperial College, London, UK
| | - J Tuomilehto
- Chronic Disease Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland
- Dasman Diabetes Institute, Dasman, Kuwait
- Department of Neurosciences and Preventive Medicine, Danube-University Krems, Austria
- Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - B J Shaw
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - D J Magliano
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| |
Collapse
|
18
|
Zimmet PZ, El-Osta A, Shi Z. The diabetes epidemic in China is a public health emergency: the potential role of prenatal exposure. ACTA ACUST UNITED AC 2017. [DOI: 10.21037/jphe.2017.10.01] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
|
19
|
Rubino F, Nathan DM, Eckel RH, Schauer PR, Alberti KGMM, Zimmet PZ, Del Prato S, Ji L, Sadikot SM, Herman WH, Amiel SA, Kaplan LM, Taroncher-Oldenburg G, Cummings DE. Metabolic Surgery in the Treatment Algorithm for Type 2 Diabetes: A Joint Statement by International Diabetes Organizations. Surg Obes Relat Dis 2017; 12:1144-62. [PMID: 27568469 DOI: 10.1016/j.soard.2016.05.018] [Citation(s) in RCA: 96] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Despite growing evidence that bariatric/metabolic surgery powerfully improves type 2 diabetes (T2D), existing diabetes treatment algorithms do not include surgical options. AIM The 2nd Diabetes Surgery Summit (DSS-II), an international consensus conference, was convened in collaboration with leading diabetes organizations to develop global guidelines to inform clinicians and policymakers about benefits and limitations of metabolic surgery for T2D. METHODS A multidisciplinary group of 48 international clinicians/scholars (75% nonsurgeons), including representatives of leading diabetes organizations, participated in DSS-II. After evidence appraisal (MEDLINE [1 January 2005-30 September 2015]), three rounds of Delphi-like questionnaires were used to measure consensus for 32 data-based conclusions. These drafts were presented at the combined DSS-II and 3rd World Congress on Interventional Therapies for Type 2 Diabetes (London, U.K., 28-30 September 2015), where they were open to public comment by other professionals and amended face-to-face by the Expert Committee. RESULTS Given its role in metabolic regulation, the gastrointestinal tract constitutes a meaningful target to manage T2D. Numerous randomized clinical trials, albeit mostly short/midterm, demonstrate that metabolic surgery achieves excellent glycemic control and reduces cardiovascular risk factors. On the basis of such evidence, metabolic surgery should be recommended to treat T2D in patients with class III obesity (BMI≥40 kg/m(2)) and in those with class II obesity (BMI 35.0-39.9 kg/m(2)) when hyperglycemia is inadequately controlled by lifestyle and optimal medical therapy. Surgery should also be considered for patients with T2D and BMI 30.0-34.9 kg/m(2) if hyperglycemia is inadequately controlled despite optimal treatment with either oral or injectable medications. These BMI thresholds should be reduced by 2.5 kg/m(2) for Asian patients. CONCLUSIONS Although additional studies are needed to further demonstrate long-term benefits, there is sufficient clinical and mechanistic evidence to support inclusion of metabolic surgery among antidiabetes interventions for people with T2D and obesity. To date, the DSS-II guidelines have been formally endorsed by 45 worldwide medical and scientific societies. Health care regulators should introduce appropriate reimbursement policies.
Collapse
Affiliation(s)
| | | | - Robert H Eckel
- University of Colorado Anschutz Medical Campus, Aurora, CO
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
20
|
Rubino F, Nathan DM, Eckel RH, Schauer PR, Alberti KGMM, Zimmet PZ, Del Prato S, Ji L, Sadikot SM, Herman WH, Amiel SA, Kaplan LM, Taroncher-Oldenburg G, Cummings DE. Metabolic Surgery in the Treatment Algorithm for Type 2 Diabetes: a Joint Statement by International Diabetes Organizations. Obes Surg 2017; 27:2-21. [PMID: 27957699 DOI: 10.1007/s11695-016-2457-9] [Citation(s) in RCA: 83] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Despite growing evidence that bariatric/metabolic surgery powerfully improves type 2 diabetes (T2D), existing diabetes treatment algorithms do not include surgical options. AIM The 2nd Diabetes Surgery Summit (DSS-II), an international consensus conference, was convened in collaboration with leading diabetes organizations to develop global guidelines to inform clinicians and policymakers about benefits and limitations of metabolic surgery for T2D. METHODS A multidisciplinary group of 48 international clinicians/scholars (75% nonsurgeons), including representatives of leading diabetes organizations, participated in DSS-II. After evidence appraisal (MEDLINE [1 January 2005-30 September 2015]), three rounds of Delphi-like questionnaires were used to measure consensus for 32 data-based conclusions. These drafts were presented at the combined DSS-II and 3rd World Congress on Interventional Therapies for Type 2 Diabetes (London, U.K., 28-30 September 2015), where they were open to public comment by other professionals and amended face-to-face by the Expert Committee. RESULTS Given its role in metabolic regulation, the gastrointestinal tract constitutes a meaningful target to manage T2D. Numerous randomized clinical trials, albeit mostly short/midterm, demonstrate that metabolic surgery achieves excellent glycemic control and reduces cardiovascular risk factors. On the basis of such evidence, metabolic surgery should be recommended to treat T2D in patients with class III obesity (BMI ≥40 kg/m2) and in those with class II obesity (BMI 35.0-39.9 kg/m2) when hyperglycemia is inadequately controlled by lifestyle and optimal medical therapy. Surgery should also be considered for patients with T2D and BMI 30.0-34.9 kg/m2 if hyperglycemia is inadequately controlled despite optimal treatment with either oral or injectable medications. These BMI thresholds should be reduced by 2.5 kg/m2 for Asian patients. CONCLUSIONS Although additional studies are needed to further demonstrate long-term benefits, there is sufficient clinical and mechanistic evidence to support inclusion of metabolic surgery among antidiabetes interventions for people with T2D and obesity. To date, the DSS-II guidelines have been formally endorsed by 45 worldwide medical and scientific societies. Health care regulators should introduce appropriate reimbursement policies.
Collapse
Affiliation(s)
| | | | - Robert H Eckel
- University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
21
|
Shaw JE, Punjabi NM, Naughton MT, Willes L, Bergenstal RM, Cistulli PA, Fulcher GR, Richards GN, Zimmet PZ. The Effect of Treatment of Obstructive Sleep Apnea on Glycemic Control in Type 2 Diabetes. Am J Respir Crit Care Med 2017; 194:486-92. [PMID: 26926656 DOI: 10.1164/rccm.201511-2260oc] [Citation(s) in RCA: 99] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
RATIONALE There is uncertainty about the effects of treating obstructive sleep apnea on glycemic control in patients with type 2 diabetes. OBJECTIVES To determine whether treatment of obstructive sleep apnea in patients with type 2 diabetes improves glycemic control. METHODS In this trial, we randomized patients with type 2 diabetes and no previous diagnosis of obstructive sleep apnea, with a glycated hemoglobin level of 6.5-8.5%, and an oxygen desaturation index of 15 or more events per hour to positive airway pressure therapy or to usual care. MEASUREMENTS AND MAIN RESULTS A total of 416 patients met the entry criteria as determined by each site and were randomized. Of the 298 participants who met centrally adjudicated entry criteria, no differences between the study groups were seen for change in glycated hemoglobin. Furthermore, there were no between-group differences when analyses were restricted to those with poorer baseline glycemic control, those with more severe sleep apnea, or those who were adherent to therapy. A greater fall in diastolic blood pressure occurred in the positive airway pressure group than in the usual care group (-3.5 mm Hg vs. -1.5 mm Hg; P = 0.07). This difference was significant in those who were adherent to positive airway pressure therapy (-4.4 mm Hg vs. -1.6 mm Hg; P = 0.02). There was a significant reduction in sleepiness in the positive airway pressure therapy group (P < 0.0001). Quality of life assessment revealed improvements in vitality, mental health, and mental component summary scores in the positive airway pressure therapy group. CONCLUSIONS This trial showed no effect of positive airway pressure therapy on glycemic control in patients with relatively well-controlled type 2 diabetes and obstructive sleep apnea. Clinical trial registered with www.clinicaltrials.gov (NCT00509223).
Collapse
Affiliation(s)
- Jonathan E Shaw
- 1 Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Naresh M Punjabi
- 2 Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | - Leslee Willes
- 4 Willes Consulting Group, Inc., Encinitas, California
| | | | | | - Greg R Fulcher
- 7 Department of Endocrinology, Royal North Shore Hospital and University of Sydney, Sydney, New South Wales, Australia; and
| | - Glenn N Richards
- 8 ResMed Science Center, ResMed Ltd, Sydney, New South Wales, Australia
| | - Paul Z Zimmet
- 1 Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| |
Collapse
|
22
|
Abstract
The "Diabesity" epidemic (obesity and type 2 diabetes) is likely to be the biggest epidemic in human history. Diabetes has been seriously underrated as a global public health issue and the world can no longer ignore "the rise and rise" of type 2 diabetes. Currently, most of the national and global diabetes estimates come from the IDF Atlas. These estimates have significant limitations from a public health perspective. It is apparent that the IDF have consistently underestimated the global burden. More reliable estimates of the future burden of diabetes are urgently needed. To prevent type 2 diabetes, a better understanding of the drivers of the epidemic is needed. While for years, there has been comprehensive attention to the "traditional" risk factors for type 2 diabetes i.e., genes, lifestyle and behavioral change, the spotlight is turning to the impact of the intra-uterine environment and epigenetics on future risk in adult life. It highlights the urgency for discovering novel approaches to prevention focusing on maternal and child health. Diabetes risk through epigenetic changes can be transmitted inter-generationally thus creating a vicious cycle that will continue to feed the diabetes epidemic. History provides important lessons and there are lessons to learn from major catastrophic events such as the Dutch Winter Hunger and Chinese famines. The Chinese famine may have been the trigger for what may be viewed as a diabetes "avalanche" many decades later. The drivers of the epidemic are indeed genes and environment but they are now joined by deleterious early life events. Looking to the future there is the potential scenario of future new "hot spots" for type 2 diabetes in regions e.g., the Horn of Africa, now experiencing droughts and famine. This is likely to occur should improved economic and living conditions occur over the next few decades. Type 2 diabetes will remain one of the greatest challenges to human health for many years to come.
Collapse
Affiliation(s)
- Paul Z Zimmet
- Monash University & Baker IDI Heart and Diabetes Institute, Melbourne, VIC Australia
| |
Collapse
|
23
|
Shi Z, Zhen S, Zimmet PZ, Zhou Y, Zhou Y, Magliano DJ, Taylor AW. Association of impaired fasting glucose, diabetes and dietary patterns with mortality: a 10-year follow-up cohort in Eastern China. Acta Diabetol 2016; 53:799-806. [PMID: 27311686 DOI: 10.1007/s00592-016-0875-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2016] [Accepted: 06/02/2016] [Indexed: 01/09/2023]
Abstract
AIMS To examine the association between impaired fasting glucose (IFG)/type 2 diabetes and mortality as well as to explore any interactions with dietary intake patterns in a Chinese population. METHODS We followed 2849 Chinese adults aged 20 years and older for 10 years. Fasting plasma glucose was measured at baseline in 2002. Dietary patterns were constructed using factor analysis. Hazard ratios (HRs) and 95 % confidence interval (CI) were calculated by Cox proportional hazards analysis (all-cause mortality) and competing risks regression [cardiovascular disease (CVD)]. RESULTS Of the 2849 participants, 102 had diabetes and 178 had impaired fasting glucose (IFG) at baseline. We documented 184 deaths (70 CVD deaths) during 27,914 person-years of follow-up. Diabetes was associated with death from all causes (HR 2.69, 95 % CI 1.62-4.49) after adjusting for sociodemographic and lifestyle factors. Diabetes had a HR of 1.97 (95 % CI 0.84-4.60) for CVD death. IFG had 83 % increased risk of all-cause mortality. Among those with low and high intake of a vegetable-rich dietary pattern, the HR of IFG/diabetes for all-cause mortality was 3.25 (95 %CI 1.95-5.44) and 1.38 (95 % CI 0.75-2.55) (p for interaction 0.019), respectively. CONCLUSIONS Diabetes and IFG are associated with a substantial increased risk of death in Chinese adults. Dietary patterns associated with a high intake of vegetable were associated with a decrease in the risk of mortality for those with IFG/diabetes.
Collapse
Affiliation(s)
- Zumin Shi
- Department of Nutrition and Foodborne Disease Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China.
- Discipline of Medicine, University of Adelaide, Level 7, SAHMRI, North TCE, Adelaide, 5000, Australia.
| | - Shiqi Zhen
- Department of Nutrition and Foodborne Disease Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China
| | - Paul Z Zimmet
- BakerIDI Heart and Diabetes Institute, Melbourne, Australia
- Department of Medicine, Monash University, Melbourne, Australia
| | - Yonglin Zhou
- Department of Nutrition and Foodborne Disease Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China
| | - Yijing Zhou
- Department of Nutrition and Foodborne Disease Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China
| | | | - Anne W Taylor
- Discipline of Medicine, University of Adelaide, Level 7, SAHMRI, North TCE, Adelaide, 5000, Australia
| |
Collapse
|
24
|
Tanamas SK, Lean MEJ, Combet E, Vlassopoulos A, Zimmet PZ, Peeters A. Changing guards: time to move beyond body mass index for population monitoring of excess adiposity. QJM 2016; 109:443-446. [PMID: 26527773 DOI: 10.1093/qjmed/hcv201] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Indexed: 11/14/2022] Open
Abstract
With the obesity epidemic, and the effects of aging populations, human phenotypes have changed over two generations, possibly more dramatically than in other species previously. As obesity is an important and growing hazard for population health, we recommend a systematic evaluation of the optimal measure(s) for population-level excess body fat. Ideal measure(s) for monitoring body composition and obesity should be simple, as accurate and sensitive as possible, and provide good categorization of related health risks. Combinations of anthropometric markers or predictive equations may facilitate better use of anthropometric data than single measures to estimate body composition for populations. Here, we provide new evidence that increasing proportions of aging populations are at high health-risk according to waist circumference, but not body mass index (BMI), so continued use of BMI as the principal population-level measure substantially underestimates the health-burden from excess adiposity.
Collapse
Affiliation(s)
- S K Tanamas
- From the 1Baker IDI Heart and Diabetes Institute, the Alfred Centre, Level 4, 99 Commercial Road, Melbourne, Victoria 3004, Australia
| | - M E J Lean
- Human Nutrition, School of Medicine, College of Medical Veterinary and Life Sciences, University of Glasgow, Royal Infirmary Campus, Alexandra Parade, Glasgow G31 2ER, UK
| | - E Combet
- Human Nutrition, School of Medicine, College of Medical Veterinary and Life Sciences, University of Glasgow, Royal Infirmary Campus, Alexandra Parade, Glasgow G31 2ER, UK
| | - A Vlassopoulos
- Human Nutrition, School of Medicine, College of Medical Veterinary and Life Sciences, University of Glasgow, Royal Infirmary Campus, Alexandra Parade, Glasgow G31 2ER, UK
| | - P Z Zimmet
- From the 1Baker IDI Heart and Diabetes Institute, the Alfred Centre, Level 4, 99 Commercial Road, Melbourne, Victoria 3004, Australia
| | - A Peeters
- From the 1Baker IDI Heart and Diabetes Institute, the Alfred Centre, Level 4, 99 Commercial Road, Melbourne, Victoria 3004, Australia
| |
Collapse
|
25
|
Rubino F, Nathan DM, Eckel RH, Schauer PR, Alberti KGMM, Zimmet PZ, Del Prato S, Ji L, Sadikot SM, Herman WH, Amiel SA, Kaplan LM, Taroncher-Oldenburg G, Cummings DE. Metabolic Surgery in the Treatment Algorithm for Type 2 Diabetes: A Joint Statement by International Diabetes Organizations. Diabetes Care 2016; 39:861-77. [PMID: 27222544 DOI: 10.2337/dc16-0236] [Citation(s) in RCA: 539] [Impact Index Per Article: 67.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
BACKGROUND Despite growing evidence that bariatric/metabolic surgery powerfully improves type 2 diabetes (T2D), existing diabetes treatment algorithms do not include surgical options. AIM The 2nd Diabetes Surgery Summit (DSS-II), an international consensus conference, was convened in collaboration with leading diabetes organizations to develop global guidelines to inform clinicians and policymakers about benefits and limitations of metabolic surgery for T2D. METHODS A multidisciplinary group of 48 international clinicians/scholars (75% nonsurgeons), including representatives of leading diabetes organizations, participated in DSS-II. After evidence appraisal (MEDLINE [1 January 2005-30 September 2015]), three rounds of Delphi-like questionnaires were used to measure consensus for 32 data-based conclusions. These drafts were presented at the combined DSS-II and 3rd World Congress on Interventional Therapies for Type 2 Diabetes (London, U.K., 28-30 September 2015), where they were open to public comment by other professionals and amended face-to-face by the Expert Committee. RESULTS Given its role in metabolic regulation, the gastrointestinal tract constitutes a meaningful target to manage T2D. Numerous randomized clinical trials, albeit mostly short/midterm, demonstrate that metabolic surgery achieves excellent glycemic control and reduces cardiovascular risk factors. On the basis of such evidence, metabolic surgery should be recommended to treat T2D in patients with class III obesity (BMI ≥40 kg/m(2)) and in those with class II obesity (BMI 35.0-39.9 kg/m(2)) when hyperglycemia is inadequately controlled by lifestyle and optimal medical therapy. Surgery should also be considered for patients with T2D and BMI 30.0-34.9 kg/m(2) if hyperglycemia is inadequately controlled despite optimal treatment with either oral or injectable medications. These BMI thresholds should be reduced by 2.5 kg/m(2) for Asian patients. CONCLUSIONS Although additional studies are needed to further demonstrate long-term benefits, there is sufficient clinical and mechanistic evidence to support inclusion of metabolic surgery among antidiabetes interventions for people with T2D and obesity. To date, the DSS-II guidelines have been formally endorsed by 45 worldwide medical and scientific societies. Health care regulators should introduce appropriate reimbursement policies.
Collapse
Affiliation(s)
| | | | - Robert H Eckel
- University of Colorado Anschutz Medical Campus, Aurora, CO
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
26
|
Zimmet PZ, Alberti KGMM. Epidemiology of Diabetes-Status of a Pandemic and Issues Around Metabolic Surgery. Diabetes Care 2016; 39:878-83. [PMID: 27222545 DOI: 10.2337/dc16-0273] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2016] [Accepted: 03/13/2016] [Indexed: 02/03/2023]
Abstract
The number of people with diabetes worldwide has more than doubled during the past 20 years. One of the most worrying features of this rapid increase is the emergence of type 2 diabetes in children, adolescents, and young adults. Although the role of traditional risk factors for type 2 diabetes, such as genetic, lifestyle, and behavioral risk factors, has been given attention, recent research has focused on identifying the contributions of epigenetic mechanisms and the effect of the intrauterine environment. Epidemiological data predict an inexorable and unsustainable increase in global health expenditure attributable to diabetes, so disease prevention should be given high priority. An integrated approach is needed to prevent type 2 diabetes and must recognize its heterogeneity. Future research needs to be directed at improved understanding of the potential role of determinants, such as the maternal environment and other early life factors, as well as changing trends in global demography, to help shape disease prevention programs. Equally important is a better understanding of the role of metabolic surgery in helping to address the management both of persons with type 2 diabetes and of those persons in the community who are at higher risk for type 2 diabetes, particularly in emerging nations where the diabetes epidemic is in full flight.
Collapse
Affiliation(s)
- Paul Z Zimmet
- Baker IDI Heart & Diabetes Institute and Monash University, Melbourne, Australia
| | | |
Collapse
|
27
|
Tanamas SK, Ng WL, Backholer K, Hodge A, Zimmet PZ, Peeters A. Quantifying the proportion of deaths due to body mass index- and waist circumference-defined obesity. Obesity (Silver Spring) 2016; 24:735-42. [PMID: 26833753 DOI: 10.1002/oby.21386] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2015] [Revised: 09/30/2015] [Accepted: 10/01/2015] [Indexed: 11/09/2022]
Abstract
OBJECTIVE To determine the risk of mortality associated with and quantify the deaths attributable to combinations of body mass index (BMI) and waist circumference (WC). METHODS This study included 41,439 participants. For the hazard ratio (HR) calculation, adiposity categories were defined as: BMI(N) /WC(N) , BMI(N) /WC(O) , BMI(O) /WC(N) , and BMI(O) /WC(O) (N = non-obese, O = obese). For the population attributable fraction analysis, obesity was classified as: (i) obese by BMI and/or WC; (ii) obese by BMI; and (iii) obese by WC. Mortality data was complete to the end of 2012. RESULTS The prevalence of BMI(N) /WC(N) , BMI(N) /WC(O) , BMI(O) /WC(N) , and BMI(O) /WC(O) was 73%, 6%, 6%, and 15%, respectively. There was an increased risk of all-cause and cardiovascular disease (CVD) mortality in those with BMI(N) /WC(O) (HR (95% CI) 1.2 (1.2, 1.3) and 1.3 (1.1, 1.6)) and BMI(O) /WC(O) (1.3 (1.3, 1.4) and 1.7 (1.5, 1.9)) compared to those with BMI(N) /WC(N) . The estimated proportion of all-cause and CVD mortality attributable to obesity defined using WC or using BMI and/or WC was higher compared to obesity defined using BMI. CONCLUSIONS Current population obesity monitoring misses those with BMI(N) /WC(O) who are at increased risk of mortality. By targeting reductions in population WC, the potential exists to prevent more deaths in the population than if we continue to target reductions in BMI alone.
Collapse
Affiliation(s)
- Stephanie K Tanamas
- Obesity and Population Health, Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Winda L Ng
- Obesity and Population Health, Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Kathryn Backholer
- Obesity and Population Health, Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Allison Hodge
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, 3004, Australia
| | - Paul Z Zimmet
- Department of Clinical Diabetes and Epidemiology, Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, 3004, Australia
| | - Anna Peeters
- Obesity and Population Health, Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| |
Collapse
|
28
|
Nanditha A, Ma RCW, Ramachandran A, Snehalatha C, Chan JCN, Chia KS, Shaw JE, Zimmet PZ. Diabetes in Asia and the Pacific: Implications for the Global Epidemic. Diabetes Care 2016; 39:472-85. [PMID: 26908931 DOI: 10.2337/dc15-1536] [Citation(s) in RCA: 285] [Impact Index Per Article: 35.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The last three decades have witnessed an epidemic rise in the number of people with diabetes, especially type 2 diabetes, and particularly in developing countries, where more than 80% of the people with diabetes live. The rise of type 2 diabetes in South Asia is estimated to be more than 150% between 2000 and 2035. Although aging, urbanization, and associated lifestyle changes are the major determinants for the rapid increase, an adverse intrauterine environment and the resulting epigenetic changes could also contribute in many developing countries. The International Diabetes Federation estimated that there were 382 million people with diabetes in 2013, a number surpassing its earlier predictions. More than 60% of the people with diabetes live in Asia, with almost one-half in China and India combined. The Western Pacific, the world's most populous region, has more than 138.2 million people with diabetes, and the number may rise to 201.8 million by 2035. The scenario poses huge social and economic problems to most nations in the region and could impede national and, indeed, global development. More action is required to understand the drivers of the epidemic to provide a rationale for prevention strategies to address the rising global public health "tsunami." Unless drastic steps are taken through national prevention programs to curb the escalating trends in all of the countries, the social, economic, and health care challenges are likely to be insurmountable.
Collapse
Affiliation(s)
| | - Ronald C W Ma
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong
| | | | | | - Juliana C N Chan
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Jonathan E Shaw
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia
| | - Paul Z Zimmet
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia
| |
Collapse
|
29
|
Wennberg M, Söderberg S, Uusitalo U, Tuomilehto J, Shaw JE, Zimmet PZ, Kowlessur S, Pauvaday V, Magliano DJ. High consumption of pulses is associated with lower risk of abnormal glucose metabolism in women in Mauritius. Diabet Med 2015; 32:513-20. [PMID: 25346062 PMCID: PMC4361378 DOI: 10.1111/dme.12618] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/20/2014] [Indexed: 01/04/2023]
Abstract
AIMS To investigate if consumption of pulses was associated with a reduced risk of developing abnormal glucose metabolism, increases in body weight and increases in waist circumference in a multi-ethnic cohort in Mauritius. METHODS Population-based surveys were performed in Mauritius in 1992 and in 1998. Pulse consumption was estimated from a food frequency questionnaire in 1992 and outcomes were measured in 1998. At both time points, anthropometry was undertaken and an oral glucose tolerance test was performed. RESULTS Mauritian women with the highest consumption of pulses (highest tertile) had a reduced risk of developing abnormal glucose metabolism [odds ratio 0.52; 95% CI 0.27, 0.99) compared with those with the lowest consumption, and also after multivariable adjustments. In women, a high consumption of pulses was associated with a smaller increase in BMI. CONCLUSIONS High consumption of pulses was associated with a reduced risk of abnormal glucose metabolism and a smaller increase in BMI in Mauritian women. Promotion of pulse consumption could be an important dietary intervention for the prevention of Type 2 diabetes and obesity in Mauritius and should be examined in other populations and in clinical trials.
Collapse
Affiliation(s)
- M Wennberg
- The Baker IDI Heart and Diabetes Institute, Melbourne, Australia; Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | | | | | | | | | | | | | | | | |
Collapse
|
30
|
Tanamas SK, Magliano DJ, Balkau B, Tuomilehto J, Kowlessur S, Söderberg S, Zimmet PZ, Shaw JE. The performance of diabetes risk prediction models in new populations: the role of ethnicity of the development cohort. Acta Diabetol 2015; 52:91-101. [PMID: 24996544 DOI: 10.1007/s00592-014-0607-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2014] [Accepted: 05/23/2014] [Indexed: 10/25/2022]
Abstract
It is believed that diabetes risk scores need to be ethnic specific. However, this prerequisite has not been tested. We examined the performance of several risk models, developed in various populations, in a Europid and a South Asian population. The performance of 14 published risk prediction models were tested in two prospective studies: the Australian Diabetes, Obesity and Lifestyle (AusDiab) study and the Mauritius non-communicable diseases survey. Eight models were developed in Europid populations; the remainder in various non-Europid populations. Model performance was assessed using area under the receiver operating characteristic curves (discrimination), Hosmer-Lemeshow tests (goodness-of-fit) and Brier scores (accuracy). In both AusDiab and Mauritius, discrimination was highest for a model developed in a mixed population (non-Hispanic white and African American) and lowest for a model developed in a Europid population. Discrimination for all scores was higher in AusDiab than in Mauritius. For almost all models, goodness-of-fit was poor irrespective of the ethnicity of the development cohort, and accuracy was higher in AusDiab compared to Mauritius. Our results suggest that similarity of ethnicity or similarity of diabetes risk may not be the best way of identifying models that will perform well in another population. Differences in study methodology likely account for much of the difference in the performance. Thus, identifying models which use measurements that are clearly described and easily reproducible for both research and clinical settings may be more important.
Collapse
Affiliation(s)
- Stephanie K Tanamas
- Baker IDI Heart and Diabetes Institute, 99 Commercial Road, Melbourne, VIC, 3004, Australia,
| | | | | | | | | | | | | | | |
Collapse
|
31
|
Affiliation(s)
- Adrian J Cameron
- WHO Collaborating Centre for Obesity Prevention, Deakin University, Melbourne, VIC, Australia.
| | - Paul Z Zimmet
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| |
Collapse
|
32
|
Strugnell C, Dunstan DW, Magliano DJ, Zimmet PZ, Shaw JE, Daly RM. Influence of age and gender on fat mass, fat-free mass and skeletal muscle mass among Australian adults: the Australian diabetes, obesity and lifestyle study (AusDiab). J Nutr Health Aging 2014; 18:540-6. [PMID: 24886742 DOI: 10.1007/s12603-014-0464-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND Bioelectrical impedance (BIA) represents a simple, inexpensive and non-invasive method that is often used to assess fat-mass (FM) and fat-free mass (FFM) in large population-based cohorts. OBJECTIVE The aim of this study was to describe the reference ranges and examine the influence of age and gender on FM, FFM and skeletal muscle mass (SMM) as well as height-adjusted estimates of FM [fat mass index (FMI)], FFM [fat-free mass index (FFMI)] and SMM [SMM index (SMI)] in a national, population-based cohort of Australian adults. DESIGN AND PARTICIPANTS The analytical sample included a total of 8,582 adults aged 25-91 years of Europid origin with complete data involved in the cross-sectional 1999-2000 Australian, Diabetes, Obesity and Lifestyle (AusDiab) Study. MEASUREMENTS Bioelectrical impedance analysis was used to examine components of body composition. Demographic information was derived from a household interview. RESULTS For both genders, FFM, SMM and SMI decreased linearly from the age of 25 years, with the exception that in men SMI was not related to age and FFM peaked at age 38 years before declining thereafter. The relative loss from peak values to ≥75 years in FFM (6-8%) and SMM (11-15%) was similar between men and women. For FM and FMI, there was a curvilinear relationship with age in both genders, but peak values were detected 6-7 years later in women with a similar relative loss thereafter. For FFMI there was no change with age in men and a modest increase in women. CONCLUSION In Australian adults there is heterogeneity in the age of onset, pattern and magnitude of changes in the different measures of muscle and fat mass derived from BIA, but overall the age-related losses were similar between men and women.
Collapse
Affiliation(s)
- C Strugnell
- Robin M. Daly, Centre for Physical Activity and Nutrition Research, Deakin University, 221 Burwood Highway, Burwood, Melbourne, Australia 3125, Ph: +61-3-9244 6040; Fax: +61-3-9244-6017, E-mail:
| | | | | | | | | | | |
Collapse
|
33
|
Mahajan A, Go MJ, Zhang W, Below JE, Gaulton KJ, Ferreira T, Horikoshi M, Johnson AD, Ng MCY, Prokopenko I, Saleheen D, Wang X, Zeggini E, Abecasis GR, Adair LS, Almgren P, Atalay M, Aung T, Baldassarre D, Balkau B, Bao Y, Barnett AH, Barroso I, Basit A, Been LF, Beilby J, Bell GI, Benediktsson R, Bergman RN, Boehm BO, Boerwinkle E, Bonnycastle LL, Burtt N, Cai Q, Campbell H, Carey J, Cauchi S, Caulfield M, Chan JCN, Chang LC, Chang TJ, Chang YC, Charpentier G, Chen CH, Chen H, Chen YT, Chia KS, Chidambaram M, Chines PS, Cho NH, Cho YM, Chuang LM, Collins FS, Cornelis MC, Couper DJ, Crenshaw AT, van Dam RM, Danesh J, Das D, de Faire U, Dedoussis G, Deloukas P, Dimas AS, Dina C, Doney AS, Donnelly PJ, Dorkhan M, van Duijn C, Dupuis J, Edkins S, Elliott P, Emilsson V, Erbel R, Eriksson JG, Escobedo J, Esko T, Eury E, Florez JC, Fontanillas P, Forouhi NG, Forsen T, Fox C, Fraser RM, Frayling TM, Froguel P, Frossard P, Gao Y, Gertow K, Gieger C, Gigante B, Grallert H, Grant GB, Grrop LC, Groves CJ, Grundberg E, Guiducci C, Hamsten A, Han BG, Hara K, Hassanali N, Hattersley AT, Hayward C, Hedman AK, Herder C, Hofman A, Holmen OL, Hovingh K, Hreidarsson AB, Hu C, Hu FB, Hui J, Humphries SE, Hunt SE, Hunter DJ, Hveem K, Hydrie ZI, Ikegami H, Illig T, Ingelsson E, Islam M, Isomaa B, Jackson AU, Jafar T, James A, Jia W, Jöckel KH, Jonsson A, Jowett JBM, Kadowaki T, Kang HM, Kanoni S, Kao WHL, Kathiresan S, Kato N, Katulanda P, Keinanen-Kiukaanniemi KM, Kelly AM, Khan H, Khaw KT, Khor CC, Kim HL, Kim S, Kim YJ, Kinnunen L, Klopp N, Kong A, Korpi-Hyövälti E, Kowlessur S, Kraft P, Kravic J, Kristensen MM, Krithika S, Kumar A, Kumate J, Kuusisto J, Kwak SH, Laakso M, Lagou V, Lakka TA, Langenberg C, Langford C, Lawrence R, Leander K, Lee JM, Lee NR, Li M, Li X, Li Y, Liang J, Liju S, Lim WY, Lind L, Lindgren CM, Lindholm E, Liu CT, Liu JJ, Lobbens S, Long J, Loos RJF, Lu W, Luan J, Lyssenko V, Ma RCW, Maeda S, Mägi R, Männisto S, Matthews DR, Meigs JB, Melander O, Metspalu A, Meyer J, Mirza G, Mihailov E, Moebus S, Mohan V, Mohlke KL, Morris AD, Mühleisen TW, Müller-Nurasyid M, Musk B, Nakamura J, Nakashima E, Navarro P, Ng PK, Nica AC, Nilsson PM, Njølstad I, Nöthen MM, Ohnaka K, Ong TH, Owen KR, Palmer CNA, Pankow JS, Park KS, Parkin M, Pechlivanis S, Pedersen NL, Peltonen L, Perry JRB, Peters A, Pinidiyapathirage JM, Platou CG, Potter S, Price JF, Qi L, Radha V, Rallidis L, Rasheed A, Rathman W, Rauramaa R, Raychaudhuri S, Rayner NW, Rees SD, Rehnberg E, Ripatti S, Robertson N, Roden M, Rossin EJ, Rudan I, Rybin D, Saaristo TE, Salomaa V, Saltevo J, Samuel M, Sanghera DK, Saramies J, Scott J, Scott LJ, Scott RA, Segrè AV, Sehmi J, Sennblad B, Shah N, Shah S, Shera AS, Shu XO, Shuldiner AR, Sigurđsson G, Sijbrands E, Silveira A, Sim X, Sivapalaratnam S, Small KS, So WY, Stančáková A, Stefansson K, Steinbach G, Steinthorsdottir V, Stirrups K, Strawbridge RJ, Stringham HM, Sun Q, Suo C, Syvänen AC, Takayanagi R, Takeuchi F, Tay WT, Teslovich TM, Thorand B, Thorleifsson G, Thorsteinsdottir U, Tikkanen E, Trakalo J, Tremoli E, Trip MD, Tsai FJ, Tuomi T, Tuomilehto J, Uitterlinden AG, Valladares-Salgado A, Vedantam S, Veglia F, Voight BF, Wang C, Wareham NJ, Wennauer R, Wickremasinghe AR, Wilsgaard T, Wilson JF, Wiltshire S, Winckler W, Wong TY, Wood AR, Wu JY, Wu Y, Yamamoto K, Yamauchi T, Yang M, Yengo L, Yokota M, Young R, Zabaneh D, Zhang F, Zhang R, Zheng W, Zimmet PZ, Altshuler D, Bowden DW, Cho YS, Cox NJ, Cruz M, Hanis CL, Kooner J, Lee JY, Seielstad M, Teo YY, Boehnke M, Parra EJ, Chambers JC, Tai ES, McCarthy MI, Morris AP. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility. Nat Genet 2014; 46:234-44. [PMID: 24509480 PMCID: PMC3969612 DOI: 10.1038/ng.2897] [Citation(s) in RCA: 777] [Impact Index Per Article: 77.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2013] [Accepted: 01/17/2014] [Indexed: 11/18/2022]
Abstract
To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS) including 26,488 cases and 83,964 controls of European, East Asian, South Asian, and Mexican and Mexican American ancestry. We observed significant excess in directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven novel T2D susceptibility loci. Furthermore, we observed considerable improvements in fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterisation of complex trait loci, and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry.
Collapse
|
34
|
Abstract
The number of people with diabetes worldwide has more than doubled during the past 20 years. One of the most worrying features of this rapid increase is the emergence of type 2 diabetes in children, adolescents, and young adults. Although the role of traditional risk factors for type 2 diabetes (eg, genetic, lifestyle, and behavioural risk factors) has been given attention, recent research has focused on identifying the contributions of epigenetic mechanisms and the effect of the intrauterine environment. Epidemiological data predict an inexorable and unsustainable increase in global health expenditure attributable to diabetes, so disease prevention should be given high priority. An integrated approach is needed to prevent type 2 diabetes, taking into account its many origins and heterogeneity. Thus, research needs to be directed at improved understanding of the potential role of determinants such as the maternal environment and other early life factors, as well as changing trends in global demography, to help shape disease prevention programmes.
Collapse
Affiliation(s)
- Paul Z Zimmet
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia.
| | | | - William H Herman
- Michigan Center for Diabetes Translational Research, University of Michigan, Ann Arbor, MI, USA
| | - Jonathan E Shaw
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| |
Collapse
|
35
|
Soulimane S, Simon D, Herman WH, Lange C, Lee CMY, Colagiuri S, Shaw JE, Zimmet PZ, Magliano D, Ferreira SRS, Dong Y, Zhang L, Jorgensen T, Tuomilehto J, Mohan V, Christensen DL, Kaduka L, Dekker JM, Nijpels G, Stehouwer CDA, Lantieri O, Fujimoto WY, Leonetti DL, McNeely MJ, Borch-Johnsen K, Boyko EJ, Vistisen D, Balkau B. HbA1c, fasting and 2 h plasma glucose in current, ex- and never-smokers: a meta-analysis. Diabetologia 2014; 57:30-9. [PMID: 24065153 PMCID: PMC4240946 DOI: 10.1007/s00125-013-3058-y] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2013] [Accepted: 08/09/2013] [Indexed: 12/16/2022]
Abstract
AIMS/HYPOTHESIS The relationships between smoking and glycaemic variables have not been well explored. We compared HbA1c, fasting plasma glucose (FPG) and 2 h plasma glucose (2H-PG) in current, ex- and never-smokers. METHODS This meta-analysis used individual data from 16,886 men and 18,539 women without known diabetes in 12 DETECT-2 consortium studies and in the French Data from an Epidemiological Study on the Insulin Resistance Syndrome (DESIR) and Telecom studies. Means of three glycaemic variables in current, ex- and never-smokers were modelled by linear regression, with study as a random factor. The I (2) statistic was used to evaluate heterogeneity among studies. RESULTS HbA1c was 0.10% (95% CI 0.08, 0.12) (1.1 mmol/mol [0.9, 1.3]) higher in current smokers and 0.03% (0.01, 0.05) (0.3 mmol/mol [0.1, 0.5]) higher in ex-smokers, compared with never-smokers. For FPG, there was no significant difference between current and never-smokers (-0.004 mmol/l [-0.03, 0.02]) but FPG was higher in ex-smokers (0.12 mmol/l [0.09, 0.14]). In comparison with never-smokers, 2H-PG was lower (-0.44 mmol/l [-0.52, -0.37]) in current smokers, with no difference for ex-smokers (0.02 mmol/l [-0.06, 0.09]). There was a large and unexplained heterogeneity among studies, with I (2) always above 50%; I (2) was little changed after stratification by sex and adjustment for age and BMI. In this study population, current smokers had a prevalence of diabetes that was 1.30% higher as screened by HbA1c and 0.52% lower as screened by 2H-PG, in comparison with never-smokers. CONCLUSION/INTERPRETATION Across this heterogeneous group of studies, current smokers had a higher HbA1c and lower 2H-PG than never-smokers. This will affect the chances of smokers being diagnosed with diabetes.
Collapse
Affiliation(s)
- Soraya Soulimane
- Inserm, CESP Centre for Research in Epidemiology and Population Health, U1018, Epidemiology of diabetes, obesity and chronic kidney diseases over the lifecourse, Villejuif, France
- Université Paris Sud 11, UMRS 1018, Villejuif, France
| | - Dominique Simon
- Inserm, CESP Centre for Research in Epidemiology and Population Health, U1018, Epidemiology of diabetes, obesity and chronic kidney diseases over the lifecourse, Villejuif, France
- Groupe Hospitalier Pitié Salpetrière, Diabetes Department, Paris, France
- Université Pierre et Marie Curie, Paris, France
| | | | - Celine Lange
- Inserm, CESP Centre for Research in Epidemiology and Population Health, U1018, Epidemiology of diabetes, obesity and chronic kidney diseases over the lifecourse, Villejuif, France
- Université Paris Sud 11, UMRS 1018, Villejuif, France
| | - Crystal MY Lee
- The Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, University of Sydney, Sydney, Australia
| | - Stephen Colagiuri
- The Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, University of Sydney, Sydney, Australia
| | - Jonathan E Shaw
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia
| | - Paul Z Zimmet
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia
| | - Dianna Magliano
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia
| | - Sandra RS Ferreira
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Yanghu Dong
- Department of Endocrinology and Metabolism, Qingdao Endocrine & Diabetes Hospital, Qingdao, China
- Weifang Medical University, Weifang, China
| | - Lei Zhang
- Department of Endocrinology and Metabolism, Qingdao Endocrine & Diabetes Hospital, Qingdao, China
- Weifang Medical University, Weifang, China
| | - Torben Jorgensen
- Research Centre for Prevention and Health, The Capitol Region of Denmark, Glostrup, Denmark
| | - Jaakko Tuomilehto
- Danube University Krems, Krems Austria,
- Center for Vascular Prevention Red RECAVA Grupo, Hospital Universitario La Paz, 28046 Madrid, Spain
- King Abdulaziz University, Jeddah, Saudi Arabia
| | - Viswanathan Mohan
- Dr.Mohan’s Diabetes Specialities Centre and Madras Diabetes Research Foundation Chennai, India
| | | | - Lydia Kaduka
- Centre for Public Health Research, KEMRI, Nairobi, Kenya
| | - Jacqueline M Dekker
- Department of Epidemiology and Biostatistics and the EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands
| | - Giel Nijpels
- Department of Epidemiology and Biostatistics and the EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands
| | - Coen DA Stehouwer
- Department of Internal Medicine and Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, Maastricht, The Netherlands
| | | | - Wilfred Y Fujimoto
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Donna L Leonetti
- Department of Anthropology, University of Washington, Seattle, Washington, USA
| | | | | | - Edward J Boyko
- Department of Medicine, University of Washington, Seattle, Washington, USA
- Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, Washington, USA
| | - Dorte Vistisen
- Steno Diabetes Center A/S, Niels Steensens vej 2-4, 2820 Gentofte, Denmark
| | - Beverley Balkau
- Inserm, CESP Centre for Research in Epidemiology and Population Health, U1018, Epidemiology of diabetes, obesity and chronic kidney diseases over the lifecourse, Villejuif, France
- Université Paris Sud 11, UMRS 1018, Villejuif, France
| | - DETECT-2 Study Group
- The Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, University of Sydney, Sydney, Australia
| | | |
Collapse
|
36
|
Affiliation(s)
| | - Paul Z Zimmet
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC 3004, Australia.
| |
Collapse
|
37
|
|
38
|
Reeves MM, Healy GN, Owen N, Shaw JE, Zimmet PZ, Dunstan DW. Joint associations of poor diet quality and prolonged television viewing time with abnormal glucose metabolism in Australian men and women. Prev Med 2013; 57:471-6. [PMID: 23827722 DOI: 10.1016/j.ypmed.2013.06.023] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2012] [Revised: 06/18/2013] [Accepted: 06/21/2013] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To examine the independent and joint associations of diet quality and television viewing time with abnormal glucose metabolism (AGM) in men and women. METHOD Cross-sectional data from 5346 women and 4344 men from the 1999 to 2000 Australian Diabetes, Obesity and Lifestyle Study were examined. Diet quality scores were derived from a food frequency questionnaire and categorised into tertiles (high; moderate; low). Television viewing time was dichotomised into low (≤ 14 h/week) and high (>14 h/week). AGM was defined as impaired fasting glucose, impaired glucose tolerance, known or newly diagnosed diabetes based on an oral glucose tolerance test. Regression analyses were adjusted for confounding variables. RESULTS Diet quality and television viewing time were significantly associated with AGM in women, independent of waist circumference. Compared to women with high diet quality/low television viewing time, women with low diet quality/low television viewing time and women with low diet quality/high television viewing time were significantly more likely to have AGM. Associations were not observed in men. CONCLUSIONS Both poor diet quality and prolonged television viewing should be addressed to reduce risk of AGM in women. Further understanding of modifiable risk factors in men is warranted.
Collapse
Affiliation(s)
- Marina M Reeves
- The University of Queensland, School of Population Health, Cancer Prevention Research Centre, Level 3 Public Health Building, Herston Road, Herston, Queensland 4006, Australia(1).
| | | | | | | | | | | |
Collapse
|
39
|
Minges KE, Magliano DJ, Owen N, Daly RM, Salmon J, Shaw JE, Zimmet PZ, Dunstan DW. Associations of strength training with impaired glucose metabolism: the AusDiab Study. Med Sci Sports Exerc 2013; 45:299-303. [PMID: 22903138 DOI: 10.1249/mss.0b013e31826e6cd1] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
PURPOSE To examine the association of strength training (ST) activity with impaired glucose metabolism (IGM) in Australian adults. METHODS On the basis of an oral glucose tolerance test, IGM (which includes impaired fasting glucose, impaired glucose tolerance, or newly diagnosed type 2 diabetes), was assessed in 5831 adults (mean age = 56.0 +/- 12.7 yr) without clinically diagnosed diabetes who participated in the 2004–2005 Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Meeting the current ST guideline was based on reporting ST at least two times per week (frequency) or > or = 40 min x wk(-1) in total (duration). Multiple logistic regression analyses examined associations of self-reported ST frequency and duration with IGM. RESULTS After adjustment for known confounding factors and total moderate- to vigorous-intensity leisure time exercise, the odds ratio (OR) of IGM was 0.73 (95% confidence interval [CI] = 0.59–0.91, P < or = 0.005) in those who met the ST frequency guideline (two or more times per week) and 0.69 (95% CI = 0.55–0.87, P < or = 0.01) in those who met the ST duration guideline (> or =40 min x wk(-1)). Those who achieved both the recommended frequency and duration of ST had 24% lower odds of IGM. There was also evidence that a moderate frequency (once a week) and duration (10–39 min x wk(-1)) of ST reduced the odds of IGM (OR frequency = 0.53, 95% CI = 0.51–0.81, P e 0.01; OR duration = 0.72, 95% CI = 0.52–1.00, P < or = 0.05). CONCLUSIONS These findings support the importance of including ST activity, at a frequency of at least once per week, within exercise management recommendations for the maintenance of favorable metabolic health, particularly as it may contribute to reducing the risk of developing type 2 diabetes mellitus.
Collapse
Affiliation(s)
- Karl E Minges
- Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | | | | | | | | | | | | | | |
Collapse
|
40
|
Hare MJL, Magliano DJ, Zimmet PZ, Söderberg S, Joonas N, Pauvaday V, Larhubarbe J, Tuomilehto J, Kowlessur S, Alberti KGMM, Shaw JE. Glucose-independent ethnic differences in HbA1c in people without known diabetes. Diabetes Care 2013; 36:1534-40. [PMID: 23275368 PMCID: PMC3661823 DOI: 10.2337/dc12-1210] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To determine whether glucose-independent differences in HbA1c exist between people of African, South Asian, and Chinese ethnicities. RESEARCH DESIGN AND METHODS Data from 6,701 people aged 19-78 years, without known diabetes, from Mauritius, and participating in the population-based Non-Communicable Disease Surveys of the main island and the island of Rodrigues were included. Participants were African (n = 1,219 from main island, n = 1,505 from Rodrigues), South Asian (n = 3,820), and Chinese (n = 157). Survey data included HbA1c, plasma glucose during oral glucose tolerance testing (OGTT), anthropometry, demographics, and medical and lifestyle history. RESULTS Mean HbA1c, after adjustment for fasting and 2-h plasma glucose and other factors known to influence HbA1c, was higher in Africans from Rodrigues (6.1%) than in South Asians (5.7%, P < 0.001), Chinese (5.7%, P < 0.001), or Africans from the main island of Mauritius (5.7%, P < 0.001). The age-standardized prevalence of diabetes among Africans from Rodrigues differed substantially depending on the diagnostic criteria used [OGTT 7.9% (95% CI 5.8-10.0); HbA1c 17.3% (15.3-19.2)]. Changing diagnostic criteria resulted in no significant change in the prevalence of diabetes within the other ethnic groups. CONCLUSIONS People of African ethnicity from Rodrigues have higher HbA1c than those of South Asian or African ethnicity from the main island of Mauritius for reasons not explained by plasma glucose during an OGTT or traditional factors known to affect glycemia. Further research should be directed at determining the mechanism behind this disparity and its relevance to clinical outcomes.
Collapse
|
41
|
Ruta LM, Magliano DJ, Lemesurier R, Taylor HR, Zimmet PZ, Shaw JE. Prevalence of diabetic retinopathy in Type 2 diabetes in developing and developed countries. Diabet Med 2013; 30:387-98. [PMID: 23331210 DOI: 10.1111/dme.12119] [Citation(s) in RCA: 166] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/10/2013] [Indexed: 12/19/2022]
Abstract
BACKGROUND As the global prevalence of diabetes increases, so will the numbers of people with diabetic retinopathy. Our review aimed to provide a comprehensive picture of available studies of diabetic retinopathy and how prevalence varies around the developed and developing world. METHODS A detailed literature search using PubMed was undertaken. The following search term was used: 'diabetic retinopathy AND prevalence'. The titles and abstracts of all publications identified by the search were reviewed and 492 studies were retrieved. Inclusion and exclusion criteria were applied. RESULTS A total of 72 articles from 33 countries were included. There were only 26 population-based studies using fundus photography (12 in developing countries), of which only 16 (eight in developing countries) were published since 2000. Prevalence estimates varied from as low as 10% to as high as 61% in persons with known diabetes and from 1.5 to 31% in newly diagnosed diabetes. Across all the studies, the median (interquartile range) prevalence of any diabetic retinopathy in known diabetes was 27.9% (22-37%) and 10.5% (6-16%) in newly diagnosed diabetes. Prevalence of diabetic retinopathy was higher in developing countries. CONCLUSION Significant gaps exist in that reliable population-based data from developing nations and indigenous populations in particular are lacking. Major differences in study characteristics and methodologies make comparisons very difficult. More research is required and study methodologies must be better standardized. This will provide important information for prevention and treatment strategies.
Collapse
Affiliation(s)
- L M Ruta
- Baker IDI Heart and Diabetes Institute, The University of Melbourne, Melbourne, Vic., Australia
| | | | | | | | | | | |
Collapse
|
42
|
Reutens AT, Hutchinson R, Van Binh T, Cockram C, Deerochanawong C, Ho LT, Ji L, Khalid BAK, Kong APS, Lim-Abrahan MA, Tan CE, Tjokroprawiro A, Yoon KH, Zimmet PZ, Shaw JE. The GIANT study, a cluster-randomised controlled trial of efficacy of education of doctors about type 2 diabetes mellitus management guidelines in primary care practice. Diabetes Res Clin Pract 2012; 98:38-45. [PMID: 22784926 DOI: 10.1016/j.diabres.2012.06.002] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2011] [Revised: 05/31/2012] [Accepted: 06/12/2012] [Indexed: 12/25/2022]
Abstract
OBJECTIVES Primary aim: does general practitioner (GP) education on type 2 diabetes treatment improve HbA1c? Secondary aim: cardiovascular risk factors, hypoglycaemia, treatment intensification, health service utilisation, treatment barriers. METHODS 99 Asia-Pacific GPs were cluster-randomised to be educated on regional diabetes management guidelines (intervention) or continue standard care (control). The intervention employed meetings, reminders, medical record summary sheets and patient result cards. Each GP recruited four type 2 diabetic patients, assessed at baseline, 6 and 12 months. The primary outcome was mean change in HbA1c from 0 to 6 months in patients with baseline HbA1c≥6.5%. RESULTS 361 patients (93%) completed 6 month follow-up. The primary HbA1c outcome was -0.11% (95% CI -0.27, 0.05) with intervention and -0.22% (95% CI -0.39, -0.05) in the control group (p=0.340). The groups did not differ in control of other glycaemic indices, blood pressure or lipids after 6 or 12 months. In those with HbA1c≥9.0%, approximately 50% received intensified treatment by 6 months, and 30% in the final 6 months. GPs identified treatment costs and patient reluctance to use insulin as management barriers. CONCLUSIONS/INTERPRETATION A structured GP education programme did not improve HbA1c in patients with type 2 diabetes.
Collapse
Affiliation(s)
- Anne T Reutens
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
43
|
Williams ED, Magliano DJ, Zimmet PZ, Kavanagh AM, Stevenson CE, Oldenburg BF, Shaw JE. Area-level socioeconomic status and incidence of abnormal glucose metabolism: the Australian Diabetes, Obesity and Lifestyle (AusDiab) study. Diabetes Care 2012; 35:1455-61. [PMID: 22619081 PMCID: PMC3379605 DOI: 10.2337/dc11-1410] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To examine the role of area-level socioeconomic status (SES) on the development of abnormal glucose metabolism (AGM) using national, population-based data. RESEARCH DESIGN AND METHODS The Australian Diabetes, Obesity and Lifestyle (AusDiab) study is a national, population-based, longitudinal study of adults aged ≥25 years. A sample of 4,572 people provided complete baseline (1999 to 2000) and 5-year follow-up (2004 to 2005) data relevant for these analyses. Incident AGM was assessed using fasting plasma glucose and 2-h plasma glucose from oral glucose tolerance tests, and demographic, socioeconomic, and behavioral data were collected by interview and questionnaire. Area SES was defined using the Index of Relative Socioeconomic Disadvantage. Generalized linear mixed models were used to examine the relationship between area SES and incident AGM, with adjustment for covariates and correction for cluster design effects. RESULTS Area SES predicted the development of AGM, after adjustment for age, sex, and individual SES. People living in areas with the most disadvantage were significantly more likely to develop AGM, compared with those living in the least deprived areas (odds ratio 1.53; 95% CI 1.07-2.18). Health behaviors (in particular, physical activity) and central adiposity appeared to partially mediate this relationship. CONCLUSIONS Our findings suggest that characteristics of the physical, social, and economic aspects of local areas influence diabetes risk. Future research should focus on identifying the aspects of local environment that are associated with diabetes risk and how they might be modified.
Collapse
Affiliation(s)
- Emily D Williams
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
| | | | | | | | | | | | | |
Collapse
|
44
|
Daly RM, Gagnon C, Lu ZX, Magliano DJ, Dunstan DW, Sikaris KA, Zimmet PZ, Ebeling PR, Shaw JE. Prevalence of vitamin D deficiency and its determinants in Australian adults aged 25 years and older: a national, population-based study. Clin Endocrinol (Oxf) 2012; 77:26-35. [PMID: 22168576 DOI: 10.1111/j.1365-2265.2011.04320.x] [Citation(s) in RCA: 196] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Vitamin D deficiency is recognized as a global public health problem, but the population-based prevalence of deficiency and its determinants in Australian adults is not known. This study evaluated the vitamin D status of Australian adults aged ≥25 years and risk factors associated with vitamin D deficiency in this population. DESIGN AND PATIENTS We studied a national sample of 11,247 Australian adults enrolled in the 1999/2000 Australian Diabetes, Obesity and Lifestyle (AusDiab) study drawn from 42 randomly selected districts throughout Australia. MEASUREMENTS Serum concentrations of 25-hydroxyvitamin D [25(OH)D] were measured by immunoassay. Vitamin D deficiency was defined as a concentration <50 nmol/l. Information on demographic and lifestyle factors was derived from interview-administered questionnaires. RESULTS The mean serum 25(OH)D concentration was 63 nmol/l (95% CI: 59-67 nmol/l). Only 4% of the population had a level <25 nmol/l, but the prevalence of vitamin D deficiency (<50 nmol/l) was 31% (22% men; 39% women); 73% had levels <75 nmol/l. The prevalence of vitamin D deficiency increased significantly with age, was greater in women, in those of non-Europid origin, in the obese and those who were physically inactive and with a higher level of education. Deficiency was also more common during winter and in people residing in southern Australia (latitude >35°S); 42% of women and 27% of men were deficient during summer-autumn, which increased to 58% and 35%, respectively, during winter-spring. CONCLUSION Vitamin D deficiency is common in Australia affecting nearly one-third of adults aged ≥25 years. This indicates that strategies are needed at the population level to improve vitamin D status of Australians.
Collapse
Affiliation(s)
- Robin M Daly
- Centre for Physical Activity and Nutrition Research, School of Exercise and Nutrition Sciences, Deakin University, Melbourne, Australia.
| | | | | | | | | | | | | | | | | |
Collapse
|
45
|
Gagnon C, Lu ZX, Magliano DJ, Dunstan DW, Shaw JE, Zimmet PZ, Sikaris K, Ebeling PR, Daly RM. Low serum 25-hydroxyvitamin D is associated with increased risk of the development of the metabolic syndrome at five years: results from a national, population-based prospective study (The Australian Diabetes, Obesity and Lifestyle Study: AusDiab). J Clin Endocrinol Metab 2012; 97:1953-61. [PMID: 22442263 DOI: 10.1210/jc.2011-3187] [Citation(s) in RCA: 167] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
CONTEXT Serum 25-hydroxyvitamin D [25(OH)D] concentration has been inversely associated with the prevalence of metabolic syndrome (MetS), but the relationship between 25(OH)D and incident MetS remains unclear. OBJECTIVE We evaluated the prospective association between 25(OH)D, MetS, and its components in a large population-based cohort of adults aged 25 yr or older. DESIGN We used baseline (1999-2000) and 5-yr follow-up data of the Australian Diabetes, Obesity, and Lifestyle Study (AusDiab). PARTICIPANTS Of the 11,247 adults evaluated at baseline, 6,537 returned for follow-up. We studied those without MetS at baseline and with complete data (n = 4164; mean age 50 yr; 58% women; 92% Europids). OUTCOME MEASURES We report the associations between baseline 25(OH)D and 5-yr MetS incidence and its components, adjusted for age, sex, ethnicity, season, latitude, smoking, family history of type 2 diabetes, physical activity, education, kidney function, waist circumference (WC), and baseline MetS components. RESULTS A total of 528 incident cases (12.7%) of MetS developed over 5 yr. Compared with those in the highest quintile of 25(OH)D (≥34 ng/ml), MetS risk was significantly higher in people with 25(OH)D in the first (<18 ng/ml) and second (18-23 ng/ml) quintiles; odds ratio (95% confidence interval) = 1.41 (1.02-1.95) and 1.74 (1.28-2.37), respectively. Serum 25(OH)D was inversely associated with 5-yr WC (P < 0.001), triglycerides (P < 0.01), fasting glucose (P < 0.01), and homeostasis model assessment for insulin resistance (P < 0.001) but not with 2-h plasma glucose (P = 0.29), high-density lipoprotein cholesterol (P = 0.70), or blood pressure (P = 0.46). CONCLUSIONS In Australian adults, lower 25(OH)D concentrations were associated with increased MetS risk and higher WC, serum triglyceride, fasting glucose, and insulin resistance at 5 yr. Vitamin D supplementation studies are required to establish whether the link between vitamin D deficiency and MetS is causal.
Collapse
Affiliation(s)
- Claudia Gagnon
- Centre hospitalier Universitaire de Québec, Centre hospitalier de l'Université Laval, Laval University, 2705 Boulevard Laurier, Québec, Canada G1V 4G2.
| | | | | | | | | | | | | | | | | |
Collapse
|
46
|
Dunstan DW, Kingwell BA, Larsen R, Healy GN, Cerin E, Hamilton MT, Shaw JE, Bertovic DA, Zimmet PZ, Salmon J, Owen N. Breaking up prolonged sitting reduces postprandial glucose and insulin responses. Diabetes Care 2012; 35:976-83. [PMID: 22374636 PMCID: PMC3329818 DOI: 10.2337/dc11-1931] [Citation(s) in RCA: 791] [Impact Index Per Article: 65.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Observational studies show breaking up prolonged sitting has beneficial associations with cardiometabolic risk markers, but intervention studies are required to investigate causality. We examined the acute effects on postprandial glucose and insulin levels of uninterrupted sitting compared with sitting interrupted by brief bouts of light- or moderate-intensity walking. RESEARCH DESIGN AND METHODS Overweight/obese adults (n = 19), aged 45-65 years, were recruited for a randomized three-period, three-treatment acute crossover trial: 1) uninterrupted sitting; 2) seated with 2-min bouts of light-intensity walking every 20 min; and 3) seated with 2-min bouts of moderate-intensity walking every 20 min. A standardized test drink was provided after an initial 2-h period of uninterrupted sitting. The positive incremental area under curves (iAUC) for glucose and insulin (mean [95% CI]) for the 5 h after the test drink (75 g glucose, 50 g fat) were calculated for the respective treatments. RESULTS The glucose iAUC (mmol/L) · h after both activity-break conditions was reduced (light: 5.2 [4.1-6.6]; moderate: 4.9 [3.8-6.1]; both P < 0.01) compared with uninterrupted sitting (6.9 [5.5-8.7]). Insulin iAUC (pmol/L) · h was also reduced with both activity-break conditions (light: 633.6 [552.4-727.1]; moderate: 637.6 [555.5-731.9], P < 0.0001) compared with uninterrupted sitting (828.6 [722.0-950.9]). CONCLUSIONS Interrupting sitting time with short bouts of light- or moderate-intensity walking lowers postprandial glucose and insulin levels in overweight/obese adults. This may improve glucose metabolism and potentially be an important public health and clinical intervention strategy for reducing cardiovascular risk.
Collapse
Affiliation(s)
- David W Dunstan
- Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia.
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
47
|
Fountaine T, Shaw JE, Zimmet PZ. Designing payments for GPs to improve the quality of diabetes care. Med J Aust 2012; 196:568. [DOI: 10.5694/mja12.10302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
| | | | - Paul Z Zimmet
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC
| |
Collapse
|
48
|
Harding JL, Soderberg S, Shaw JE, Zimmet PZ, Pauvaday V, Kowlessur S, Tuomilehto J, Alberti KGMM, J Magliano D. All-cause cancer mortality over 15 years in multi-ethnic Mauritius: the impact of diabetes and intermediate forms of glucose tolerance. Int J Cancer 2012; 131:2385-93. [PMID: 22362309 DOI: 10.1002/ijc.27503] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2011] [Revised: 01/24/2012] [Accepted: 02/06/2012] [Indexed: 12/21/2022]
Abstract
There are accumulating data describing the association between diabetes and cancer mortality from Westernised populations. There are no data describing the relationship between diabetes and cancer mortality in African or South Asian populations from developing countries. We explored the relationship of abnormal glucose tolerance and diabetes on cancer mortality risk in a large, multi-ethnic cohort from the developing nation of Mauritius. Population-based surveys were undertaken in 1987, 1992 and 1998. The 9559 participants comprised 66% of South Asian (Indian), 27% of African (Creole), and 7% of Chinese descent. Cox's proportional hazards model with time varying covariates was used to obtain hazard ratios (HRs) and 95% confidence intervals (95% CI) for risk of cancer mortality, after adjustment for confounding factors. In men, but not women, cancer mortality risk increased with rising 2h-PG levels with HR for the top versus bottom quintile of 2.77 (95%CI: 1.28 to 5.98). South Asian men with known diabetes had a significantly greater risk of cancer mortality than those with normal glucose tolerance (NGT) HR: 2.74 (95%CI: 1.00-7.56). Overall, impaired glucose tolerance was associated with an elevated risk of cancer mortality compared to NGT (HR: 1.47, 95% CI: 0.98-2.19), though this was not significant. We have shown that the association between abnormal glucose tolerance and cancer extends to those of African and South Asian descent. These results highlight the importance of understanding this relationship in a global context to direct future health policy given the rapid increase in type 2 diabetes, especially in developing nations.
Collapse
Affiliation(s)
- Jessica L Harding
- Department of Clinical Diabetes and Epidemiology, Baker IDI Heart and Diabetes Institute, Melbourne, Australia.
| | | | | | | | | | | | | | | | | |
Collapse
|
49
|
Abstract
Haemoglobin A(1c) (HbA(1c)) has recently been adopted by the World Health Organization into its recommended criteria for diabetes diagnosis. Much debate continues regarding the relative benefits and potential disadvantages surrounding the use of HbA(1c) for this purpose. There is a lack of consensus as to whether this alteration to the definition of diabetes is a step forward or whether it could add further confusion and ambiguity to the debate on the method and criteria for the diagnosis of this globally important disease. This review provides a comprehensive overview of the current issues surrounding how HbA(1c) is measured and reported; and of the evidence for and against its use in diagnosis.
Collapse
Affiliation(s)
- M J L Hare
- Baker IDI Heart and Diabetes Institute, Melbourne, Vic., Australia.
| | | | | |
Collapse
|
50
|
Cameron AJ, Magliano DJ, Shaw JE, Zimmet PZ, Carstensen B, Alberti KGM, Tuomilehto J, Barr ELM, Pauvaday VK, Kowlessur S, Söderberg S. The influence of hip circumference on the relationship between abdominal obesity and mortality. Int J Epidemiol 2012; 41:484-94. [PMID: 22266094 PMCID: PMC3324456 DOI: 10.1093/ije/dyr198] [Citation(s) in RCA: 74] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Higher waist circumference and lower hip circumference are both associated with increased cardiovascular disease (CVD) risk, despite being directly correlated. The real effects of visceral obesity may therefore be underestimated when hip circumference is not fully taken into account. We hypothesized that adding waist and hip circumference to traditional risk factors would significantly improve CVD risk prediction. METHODS In a population-based survey among South Asian and African Mauritians (n = 7978), 1241 deaths occurred during 15 years of follow-up. In a model that included variables used in previous CVD risk calculations (a Framingham-type model), the association between waist circumference and mortality was examined before and after adjustment for hip circumference. The percentage with an increase in estimated 10-year cumulative mortality of >25% and a decrease of >20% after waist and hip circumference were added to the model was calculated. RESULTS Waist circumference was strongly related to mortality only after adjustment for hip circumference and vice versa. Adding waist and hip circumference to a Framingham-type model increased estimated 10-year cumulative CVD mortality by >25% for 23.7% of those who died and 15.7% of those censored. Cumulative mortality decreased by >20% for 4.5% of those who died and 14.8% of those censored. CONCLUSIONS The effect of central obesity on mortality risk is seriously underestimated without adjustment for hip circumference. Adding waist and hip circumference to a Framingham-type model for CVD mortality substantially increased predictive power. Both may be important inclusions in CVD risk prediction models.
Collapse
Affiliation(s)
- Adrian J Cameron
- Clinical Diabetes and Epidemiology, Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia.
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|