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Sá R, Roquette R, Rebecchi A, Matias J, Rocha J, Buffoli M, Capolongo S, Ribeiro AI, Nunes B, Dias C, Sousa Uva M. Association between area-level walkability and glycated haemoglobin: a Portuguese population-based study. BMC Public Health 2024; 24:1116. [PMID: 38654178 PMCID: PMC11036776 DOI: 10.1186/s12889-024-18627-2] [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] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 04/16/2024] [Indexed: 04/25/2024] Open
Abstract
Diabetes poses a substantial disease burden, prompting preventive interventions. Physical inactivity, a major risk factor for type 2 diabetes, can potentially be mitigated by enhancing area-level walkability. Despite this, limited population-based studies have investigated the link between walkability and objective diabetes measures. Our study aims to estimate the association between area-level walkability and individual glycated haemoglobin levels in the Portuguese adult population without the diagnosis of diabetes. Data from the 2011 census and an updated street map were obtained to construct a walkability index based on residential density, land-use mix, and street connectivity. Individual health data were sourced from The National Health Examination Survey (INSEF) 2015, a representative survey of the Portuguese adult population. Gamma regression was employed for estimation of the main associations, revealing that residing in moderately walkable areas significantly reduced average glycated haemoglobin levels (Exp(β) = 0.906; 95% CI: 0.821, 0.999) compared to the least walkable areas. The association was less pronounced and not statistically significant for the third tertile of walkability (Exp(β) = 0.919; 95% CI: 0.822, 1.028). Our findings highlight a nonlinear protective association between walkability and glycated haemoglobin, emphasizing the potential policy implications for urban planning, diabetes prevention, and health promotion.
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Affiliation(s)
- Regina Sá
- Unidade de Saúde Pública, Agrupamento de Centros de Saúde (ACES) do Baixo Vouga, Aveiro, Portugal.
- Unidade de Saúde Pública, Agrupamento de Centros de Saúde (ACES) Algarve I, Faro, Portugal.
| | - Rita Roquette
- Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge (INSA), Lisboa, Portugal
| | - Andrea Rebecchi
- Design & Health Lab, Department of Architecture, Built environment and Construction Engineering, Politecnico di Milano, Milan, Italy
| | - Judite Matias
- Unidade de Saúde Pública, Agrupamento de Centros de Saúde (ACES) do Baixo Vouga, Aveiro, Portugal
| | - Jorge Rocha
- Instituto de Geografia e Ordenamento do Território (IGOT), Universidade de Lisboa e Laboratório Associado TERRA, Lisbon, Portugal
| | - Maddalena Buffoli
- Design & Health Lab, Department of Architecture, Built environment and Construction Engineering, Politecnico di Milano, Milan, Italy
| | - Stefano Capolongo
- Design & Health Lab, Department of Architecture, Built environment and Construction Engineering, Politecnico di Milano, Milan, Italy
| | - Ana Isabel Ribeiro
- Unidade de Investigação em Epidemiologia (EPIUnit), Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal
- Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
| | - Baltazar Nunes
- Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge (INSA), Lisboa, Portugal
- Centro de Investigação em Saúde Pública (CISP), Escola Nacional de Saúde Pública (ENSP-NOVA), Lisbon, Portugal
- Comprehensive Health Research Center (CHRC), Lisbon, Portugal
| | - Carlos Dias
- Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge (INSA), Lisboa, Portugal
- Centro de Investigação em Saúde Pública (CISP), Escola Nacional de Saúde Pública (ENSP-NOVA), Lisbon, Portugal
- Comprehensive Health Research Center (CHRC), Lisbon, Portugal
| | - Mafalda Sousa Uva
- Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge (INSA), Lisboa, Portugal
- Centro de Investigação em Saúde Pública (CISP), Escola Nacional de Saúde Pública (ENSP-NOVA), Lisbon, Portugal
- Comprehensive Health Research Center (CHRC), Lisbon, Portugal
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Ramírez-Morros A, Franch-Nadal J, Real J, Miró-Catalina Q, Bundó M, Vlacho B, Mauricio D. Clinical characteristics and degree of cardiovascular risk factor control in patients with newly-diagnosed type 2 diabetes in Catalonia. Front Endocrinol (Lausanne) 2024; 15:1339879. [PMID: 38390201 PMCID: PMC10883380 DOI: 10.3389/fendo.2024.1339879] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 01/17/2024] [Indexed: 02/24/2024] Open
Abstract
Introduction Women with type 2 diabetes mellitus (T2DM) face a greater risk of cardiovascular disease (CVD) and encounter challenges in managing cardiovascular risk factors (CVRF); however, limited data are available in individuals with newlydiagnosed T2DM. Methods This study aimed to examine differences between women and men at the onset of T2DM in terms of clinical characteristics, glycaemic status, and CVRF management. This was a retrospective cohort study including subjects with newly-diagnosed T2DM from the System for the Development of Research in Primary Care (SIDIAP) database in Catalonia (Spain). Sex differences (Dif) were assessed at baseline and 1-year post-diagnosis, by calculating the absolute difference of means or proportions. Results A total of 13,629 subjects with newly-diagnosed T2DM were analyzed. Women were older and had a higher BMI than men. At baseline, women had higher total cholesterol [Dif (95%CI) 10 mg/dL (9.1/10.8)] and low-density lipoprotein cholesterol (LDL-c) [Dif (95%CI) 7 mg/dL (6.3/7.7)], while men had higher rates of smoking and alcohol intake. Lipid target achievement was lower in women, in both primary prevention (LDL-c < 100 mg/dL) [Dif (95%CI) -7.3 mg/dL (-10.5/-4.1)] and secondary prevention (LDL-c < 70 mg/dL) [Dif (95%CI) -8.3 mg/dL (-17.3/0.7)], along with lower statin and antiplatelet prescriptions, especially one year after diagnosis. Changes in clinical and laboratory data one year post-diagnosis revealed that, in the primary prevention group, men experienced greater improvements in total cholesterol, LDL-c and triglycerides, while women had less success in achieving CVRF control targets compared to men. Additionally, cardiovascular events, such as coronary artery disease and peripheral artery disease increased more in men than in women within the first year of diagnosis, especially in primary prevention subjects. Conclusion Differences between men and women CVRF are already apparent at the onset of T2DM, particularly in primary prevention, with notable differences in lipid profile and target level attainment.
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Affiliation(s)
- Anna Ramírez-Morros
- Grup de Recerca Epidemiològica en Diabetes des de l’Atenció Primària (DAP-CAT) Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Gerència Territorial de la Catalunya Central, Institut Català de la Salut, Sant Fruitós de Bages, Spain
| | - Josep Franch-Nadal
- Grup de Recerca Epidemiològica en Diabetes des de l’Atenció Primària (DAP-CAT) Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, Barcelona, Spain
| | - Jordi Real
- Grup de Recerca Epidemiològica en Diabetes des de l’Atenció Primària (DAP-CAT) Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, Barcelona, Spain
- Digital Health and Clinical Validation Center for Digital Health Solutions, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Queralt Miró-Catalina
- Gerència Territorial de la Catalunya Central, Institut Català de la Salut, Sant Fruitós de Bages, Spain
- Health Promotion in Rural Areas Research Group, Unitat de Suport a la Recerca de la Catalunya Central, Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Sant Fruitós de Bages, Spain
| | - Magdalena Bundó
- Grup de Recerca Epidemiològica en Diabetes des de l’Atenció Primària (DAP-CAT) Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Primary Health Care Center Ronda Prim, Gerència d’Àmbit d’Atenció Primària Metropolitana Nord de Barcelona, Institut Català de la Salut, Mataró, Spain
| | - Bogdan Vlacho
- Grup de Recerca Epidemiològica en Diabetes des de l’Atenció Primària (DAP-CAT) Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, Barcelona, Spain
- Institut de Recerca Hospital de La Santa Creu I Sant Pau, Barcelona, Spain
| | - Didac Mauricio
- Grup de Recerca Epidemiològica en Diabetes des de l’Atenció Primària (DAP-CAT) Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, Barcelona, Spain
- Institut de Recerca Hospital de La Santa Creu I Sant Pau, Barcelona, Spain
- Department of Endocrinology and Nutrition, Hospital Universitari de la Santa Creu i Sant Pau, Barcelona, Spain
- Department of Medicine, University of Vic – Central University of Catalonia, Vic, Spain
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Oliveira R, Monteiro-Soares M, Guerreiro JP, Pereira R, Teixeira-Rodrigues A. Estimating Type 2 Diabetes Prevalence: A Model of Drug Consumption Data. Pharmacy (Basel) 2024; 12:18. [PMID: 38392925 PMCID: PMC10892415 DOI: 10.3390/pharmacy12010018] [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] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 01/15/2024] [Accepted: 01/19/2024] [Indexed: 02/25/2024] Open
Abstract
Observational, cross-sectional prevalence studies are costly and time-consuming. The development of indirect methods estimating prevalence used to obtain faster, less-expensive, and more robust results would be an advantage for several healthcare applications. This study aimed to use the drug dispensing data from community pharmacies to estimate the prevalence of Type 2 Diabetes mellitus (T2DM) in the Portuguese population. A cross-sectional study was conducted using a database of dispensed medicines with an indication for Diabetes mellitus in 2018 and 2021, stratified by geographic region. The methodology was based on a sequential method of acquiring prevalence estimates obtained through exposure to medicines using the daily doses defined per thousand inhabitants per day and adjusted to the rate of adherence to therapy, prescription patterns, and concomitance of antidiabetic drugs. The estimated overall T2DM prevalence in 2018 was 13.9%, and it was 14.2% for 2021. The results show the increased consumption of antidiabetic drugs, with fixed-dose combination antidiabetics and new antidiabetics being particularly important in 2021. This work allowed for the development of a model to obtain the estimated prevalence of T2DM based on drug consumption, using a simple, fast, and robust method that is in line with the available evidence. However, with the recent expanding indications for new antidiabetics, the inclusion of further data in the model needs to be studied.
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Affiliation(s)
- Rita Oliveira
- FP-BHS—Biomedical and Health Sciences Research Unit, FFP-I3ID—Instituto de Investigação, Inovação e Desenvolvimento, Faculdade de Ciências da Saúde, Universidade Fernando Pessoa, Rua Carlos da Maia 296, 4200-150 Porto, Portugal
- UCIBIO—Applied Molecular Biosciences Unit, MedTech, Laboratory of Pharmaceutical Technology, Department of Drug Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo de Ferreira 228, 4050-313 Porto, Portugal
- Associate Laboratory i4HB—Institute for Health and Bioeconomy, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo de Ferreira 228, 4050-313 Porto, Portugal
- Faculty of Medicine, University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Matilde Monteiro-Soares
- CINTESIS—Center for Health Technology and Services Research, Faculty of Medicine, University of Porto, 4050-313 Porto, Portugal;
- MEDCIDS—Departamento de Medicina da Comunidade Informação e Decisão em Saúde, Faculty of Medicine, University of Porto, 4050-313 Porto, Portugal
- Portuguese Red Cross Health School Lisbon, Avenida de Ceuta nº 1, 1300-125 Lisbon, Portugal
- Cross I&D, Avenida de Ceuta nº 1, 1300-125 Lisbon, Portugal
| | - José Pedro Guerreiro
- Centre for Health Evaluation & Research/Infosaúde, National Association of Pharmacies, 1300-125 Lisbon, Portugal; (J.P.G.); (R.P.); (A.T.-R.)
| | - Rúben Pereira
- Centre for Health Evaluation & Research/Infosaúde, National Association of Pharmacies, 1300-125 Lisbon, Portugal; (J.P.G.); (R.P.); (A.T.-R.)
| | - António Teixeira-Rodrigues
- Centre for Health Evaluation & Research/Infosaúde, National Association of Pharmacies, 1300-125 Lisbon, Portugal; (J.P.G.); (R.P.); (A.T.-R.)
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal
- ICVS/3Bs PT Government Associate Laboratory, Campus de Gualtar, 4710-057 Braga, Portugal
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Magalhães PM, Teixeira JE, Bragada JP, Duarte CM, Bragada JA. Prevalence of Type 2 Diabetes, Impaired Fasting Glucose, and Diabetes Risk in an Adult and Older North-Eastern Portuguese Population. Healthcare (Basel) 2023; 11:1712. [PMID: 37372830 DOI: 10.3390/healthcare11121712] [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] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 05/29/2023] [Accepted: 06/09/2023] [Indexed: 06/29/2023] Open
Abstract
The aims of this study were (1) to evaluate the prevalence of type 2 diabetes (T2D) in a middle-aged north-eastern Portuguese population, (2) to analyze the prevalence of impaired fasting glucose (IFG), and (3) to assess the risk of T2D in this community-based sample. An exploratory, retrospective, and cross-sectional study was conducted from a total of 6570 individuals aged 18-102 years, among which 3865 were women (57.4 ± 18.1 years) and 2705 were men (60.0 ± 16.8 years). T2D diagnosis, IFG, and the diabetes risk score (low to very high risk) were assessed. The prevalence of T2D in this adult and an older north-eastern Portuguese population was 17.4%. A higher prevalence of T2D was reported in men (22.2%) than in women (14.0%); however, this was without significant differences (p = 0.086). Otherwise, the prevalence of T2D was significantly different among the age groups and increased with age (p < 0.001). Regarding IFG, a higher percentage of cases was observed in men (14.1%) than in women (8.4%) (p < 0.001). The risk of developing T2D in the next 10 years showed an association with sex and age group (p < 0.001) with a small-to-moderate effect (V = 0.1-0.3). Men and the elderly had the highest percentage of cases in the moderate-to-very high-risk bands. The current research confirmed a higher prevalence of T2D, IFG, and diabetes risk than previous Portuguese epidemiological reports. The results also suggest potential prediabetes cases, which should be carefully monitored. The current research adds evidence to the worldwide trend of the increasing prevalence of T2D and intermediate hyperglycemia (i.e., prediabetes).
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Affiliation(s)
- Pedro M Magalhães
- Research Centre in Sports Sciences, Health and Human Development (CIDESD), 5001-801 Vila Real, Portugal
- Department of Sport Sciences, Instituto Politécnico de Bragança (IPB), 5300-253 Bragança, Portugal
| | - José E Teixeira
- Research Centre in Sports Sciences, Health and Human Development (CIDESD), 5001-801 Vila Real, Portugal
- Department of Sport Sciences, Instituto Politécnico de Bragança (IPB), 5300-253 Bragança, Portugal
- Department of Sport Sciences, Instituto Politécnico de Guarda (IPG), 5300-253 Guarda, Portugal
| | - João P Bragada
- North East Local Health Unit (ULSNE), Health Care Unit of Santa Maria, 5301-852 Bragança, Portugal
| | - Carlos M Duarte
- Department of Sport Sciences, Instituto Politécnico de Bragança (IPB), 5300-253 Bragança, Portugal
| | - José A Bragada
- Research Centre in Sports Sciences, Health and Human Development (CIDESD), 5001-801 Vila Real, Portugal
- Department of Sport Sciences, Instituto Politécnico de Bragança (IPB), 5300-253 Bragança, Portugal
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Gregg EW, Buckley J, Ali MK, Davies J, Flood D, Mehta R, Griffiths B, Lim LL, Manne-Goehler J, Pearson-Stuttard J, Tandon N, Roglic G, Slama S, Shaw JE. Improving health outcomes of people with diabetes: target setting for the WHO Global Diabetes Compact. Lancet 2023; 401:1302-1312. [PMID: 36931289 PMCID: PMC10420388 DOI: 10.1016/s0140-6736(23)00001-6] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [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] [Received: 06/18/2022] [Revised: 09/17/2022] [Accepted: 12/20/2022] [Indexed: 03/15/2023]
Abstract
The Global Diabetes Compact is a WHO-driven initiative uniting stakeholders around goals of reducing diabetes risk and ensuring that people with diabetes have equitable access to comprehensive, affordable care and prevention. In this report we describe the development and scientific basis for key health metrics, coverage, and treatment targets accompanying the Compact. We considered metrics across four domains: factors at a structural, system, or policy level; processes of care; behaviours and biomarkers such as glycated haemoglobin (HbA1c); and health events and outcomes; and three risk tiers (diagnosed diabetes, high risk, or whole population), and reviewed and prioritised them according to their health importance, modifiability, data availability, and global inequality. We reviewed the global distribution of each metric to set targets for future attainment. This process led to five core national metrics and target levels for UN member states: (1) of all people with diabetes, at least 80% have been clinically diagnosed; and, for people with diagnosed diabetes, (2) 80% have HbA1c concentrations below 8·0% (63·9 mmol/mol); (3) 80% have blood pressure lower than 140/90 mm Hg; (4) at least 60% of people 40 years or older are receiving therapy with statins; and (5) each person with type 1 diabetes has continuous access to insulin, blood glucose meters, and test strips. We also propose several complementary metrics that currently have limited global coverage, but warrant scale-up in population-based surveillance systems. These include estimation of cause-specific mortality, and incidence of end-stage kidney disease, lower-extremity amputations, and incidence of diabetes. Primary prevention of diabetes and integrated care to prevent long-term complications remain important areas for the development of new metrics and targets. These metrics and targets are intended to drive multisectoral action applied to individuals, health systems, policies, and national health-care access to achieve the goals of the Global Diabetes Compact. Although ambitious, their achievement can result in broad health benefits for people with diabetes.
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Affiliation(s)
- Edward W Gregg
- School of Population Health, RCSI, University of Medicine and Health Sciences, Dublin, Ireland; School of Public Health, Imperial College London, London, UK.
| | - James Buckley
- School of Public Health, Imperial College London, London, UK
| | - Mohammed K Ali
- Hubert Department of Global Health and Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Justine Davies
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK; MRC/Wits Rural Public Health and Health Transitions Research Unit, Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa; Centre for Global Surgery, Department of Global Health, Stellenbosch University, Cape Town, South Africa
| | - David Flood
- Department of Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Roopa Mehta
- Unidad de Investigacion en Enfermedades Metabolicas, Instituto Nacional de Ciencias, Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Ben Griffiths
- School of Public Health, Imperial College London, London, UK
| | - Lee-Ling Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | | | - Jonathan Pearson-Stuttard
- School of Public Health, Imperial College London, London, UK; Health Analytics, Lane Clark & Peacock, London, UK
| | - Nikhil Tandon
- All India Institute of Medical Sciences, New Delhi, India
| | - Gojka Roglic
- Department of Noncommunicable Diseases, WHO, Geneva, Switzerland
| | - Slim Slama
- Department of Noncommunicable Diseases, WHO, Geneva, Switzerland
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute and School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
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Pedras S, Meira-Machado L, Couto de Carvalho A, Carvalho R, Pereira MG. Anxiety and/or depression: which symptoms contribute to adverse clinical outcomes after amputation? J Ment Health 2022; 31:792-800. [PMID: 33100065 DOI: 10.1080/09638237.2020.1836554] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [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: 01/24/2023]
Abstract
BACKGROUND One of the most serious complications of diabetes mellitus (DM) is a diabetic foot ulcer (DFU), with lower extremity amputation (LEA). AIMS This study aims to explore the role of anxiety and depression on mortality, reamputation and healing, after a LEA due to DFU. METHODS A sample of 149 patients with DFU who underwent LEA answered the Hospital Anxiety and Depression Scale and a sociodemographic and clinical questionnaire. This is a longitudinal and multicenter study with four assessment moments that used Cox proportional hazards models adjusted for demographic and clinical variables. RESULTS Rate of mortality, reamputation and healing, 10 months after LEA were 9.4%, 27.5% and 61.7%, respectively. Anxiety, at baseline, was negatively associated with healing. However, depression was not an independent predictor of mortality. None of the psychological factors was associated with reamputation. CONCLUSION Results highlight the significant contribution of anxiety symptoms at pre-surgery, to healing after a LEA. Suggestions for psychological interventions are made.
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Affiliation(s)
- Susana Pedras
- School of Psychology, University of Minho, Braga, Portugal
| | - Luís Meira-Machado
- Department of Mathematics and Applications, Faculty of Sciences, University of Minho, Guimarães, Portugal
| | - André Couto de Carvalho
- Division of Endocrinology, Diabetes and Metabolism, Centro Hospitalar do Porto, Porto, Portugal
| | - Rui Carvalho
- Division of Endocrinology, Diabetes and Metabolism, Centro Hospitalar Porto, Porto, Portugal
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Ramos PL, Santana R, Marques AP, Sousa I, Rocha-Sousa A, Macedo AF. Cross-sectional study investigating the prevalence and causes of vision impairment in Northwest Portugal using capture-recapture. BMJ Open 2022; 12:e056995. [PMID: 36691224 PMCID: PMC9462125 DOI: 10.1136/bmjopen-2021-056995] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 09/03/2021] [Accepted: 07/06/2022] [Indexed: 01/26/2023] Open
Abstract
OBJECTIVES The aim of this study was to estimate the prevalence and causes of vision impairment (VI) in Portugal. SETTING Information about people with VI was obtained from primary care centres, blind association (ACAPO) and from hospitals (the PCVIP study) in the Northwest of Portugal during a period spanning years 2014-2015. Causes of VI were obtained from hospitals. PARTICIPANTS Administrative and medical records of people with visual acuity in the better seeing eye of 0.5 decimal (0.30logMAR) or worse and/or visual field less than 20° were investigated. Capture-recapture with log-linear models was applied to estimate the number of individuals missing from lists of cases obtained from available sources. PRIMARY AND SECONDARY OUTCOME MEASURES Log-linear models were used to estimate the crude prevalence and the category specific prevalence of VI. RESULTS Crude prevalence of VI was 1.97% (95% CI 1.56% to 2.54%), and standardised prevalence was 1% (95% CI 0.78% to 1.27%). The age-specific prevalence was 3.27% (95% CI 2.36% to 4.90%), older than 64 years, 0.64% (95% CI 0.49% to 0.88%), aged 25-64 years, and 0.07% (95% CI 0.045% to 0.13%), aged less than 25 years. The female-to-male ratio was 1.3, that is, higher prevalence among females. The five leading causes of VI were diabetic retinopathy, cataract, age-related macular degeneration, glaucoma and disorders of the globe. CONCLUSIONS The prevalence of VI in Portugal was within the expected range and in line with other European countries. A significant number of cases of VI might be due to preventable cases and, therefore, a reduction of the prevalence of VI in Portugal seems possible. Women and old people were more likely to have VI and, therefore, these groups require extra attention. Future studies are necessary to characterise temporal changes in prevalence of VI in Portugal.
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Affiliation(s)
- Pedro Lima Ramos
- Department of Medicine and Optometry, Linnaeus University, Kalmar, Sweden
- Low Vision and Visual Rehabilitation Lab, Department and Center of Physics - Optometry and Vision Science, University of Minho, Braga, Portugal
| | - Rui Santana
- Escola Nacional Saude Publica, Comprehensive Health Research Centre Universidade Nova de Lisboa, Lisboa, Portugal
| | - Ana Patricia Marques
- Escola Nacional Saude Publica, Comprehensive Health Research Centre Universidade Nova de Lisboa, Lisboa, Portugal
- International Centre for Eye Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Ines Sousa
- Department of Mathematics and Applications and Center of Molecular and Environmental Biology, School of Sciences, University of Minho, Braga, Portugal
| | - Amandio Rocha-Sousa
- Department of Surgery and Physiology, Faculty of Medicine, University of Porto, Porto, Portugal
- Department of ophthalmology, Centro Hospitalar e Universitário de São João, Porto, Portugal
| | - Antonio Filipe Macedo
- Department of Medicine and Optometry, Linnaeus University, Kalmar, Sweden
- Low Vision and Visual Rehabilitation Lab, Department and Center of Physics - Optometry and Vision Science, University of Minho, Braga, Portugal
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Knudsen JS, Knudsen SS, Hulman A, Witte DR, Gregg EW, Lauritzen T, Pedersen L, Sørensen HT, Thomsen RW. Changes in type 2 diabetes incidence and mortality associated with introduction of HbA1c as diagnostic option: A Danish 24-year population-based study. Lancet Reg Health Eur 2022; 14:100291. [PMID: 35024680 DOI: 10.1016/j.lanepe.2021.100291] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Background In 2011, the World Health Organization began recommending glycated haemoglobin (HbA1c) as a measure for diagnosing type 2 diabetes (T2D). This initiative may have changed basic T2D epidemiology. Consequently, we examined time changes in T2D incidence and mortality during 1995-2018. Methods In this population-based cohort study, we included 415,553 individuals with incident T2D. We calculated annual age-standardized incidence rates of T2D. We examined HbA1c testing and used Poisson-regression to investigate all-cause mortality among the T2D patients and a matched comparison cohort from the general population over successive 3-year periods. Findings From 1995 to the 2012 introduction of HbA1c testing as a diagnostic option in Denmark, the annual standardized incidence rate (SIR) of T2D doubled, from 193 to 396 per 100,000 persons (4.1% increase annually). From 2012 onwards, the T2D incidence declined by 36%, reaching 253 per 100,000 persons in 2018 (5.7% decrease annually). This was driven by fewer patients starting treatment with an HbA1c measurement of <6·5% or without prior HbA1c testing. Mortality per 1,000 person-years following a T2D diagnosis decreased by 44% between 1995-1997 and 2010-2012, from 69 deaths to 38 deaths (adjusted mortality rate ratio: 0·55 (95% CI: 0·54-0·56)). After the low level during 2010-2012, mortality increased again by 27% to 48 per 1,000 person-years (95% CI: 46-50) by 2016-2018. Interpretation Our findings suggest that introducing HbA1c as a diagnostic option may have changed basic T2D epidemiology by leaving patients undiagnosed, that previously would have been diagnosed and treated. Funding Aarhus University funded the study and had no further involvement.
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Chan JCN, Lim LL, Wareham NJ, Shaw JE, Orchard TJ, Zhang P, Lau ESH, Eliasson B, Kong APS, Ezzati M, Aguilar-Salinas CA, McGill M, Levitt NS, Ning G, So WY, Adams J, Bracco P, Forouhi NG, Gregory GA, Guo J, Hua X, Klatman EL, Magliano DJ, Ng BP, Ogilvie D, Panter J, Pavkov M, Shao H, Unwin N, White M, Wou C, Ma RCW, Schmidt MI, Ramachandran A, Seino Y, Bennett PH, Oldenburg B, Gagliardino JJ, Luk AOY, Clarke PM, Ogle GD, Davies MJ, Holman RR, Gregg EW. The Lancet Commission on diabetes: using data to transform diabetes care and patient lives. Lancet 2021; 396:2019-2082. [PMID: 33189186 DOI: 10.1016/s0140-6736(20)32374-6] [Citation(s) in RCA: 276] [Impact Index Per Article: 92.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 07/06/2020] [Accepted: 11/05/2020] [Indexed: 01/19/2023]
Affiliation(s)
- Juliana C N Chan
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Asia Diabetes Foundation, Hong Kong Special Administrative Region, China.
| | - Lee-Ling Lim
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Asia Diabetes Foundation, Hong Kong Special Administrative Region, China; Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Nicholas J Wareham
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; School of Life Sciences, La Trobe University, Melbourne, VIC, Australia
| | - Trevor J Orchard
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, KS, USA
| | - Ping Zhang
- Division of Diabetes Translation, US Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Eric S H Lau
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Asia Diabetes Foundation, Hong Kong Special Administrative Region, China
| | - Björn Eliasson
- Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Endocrinology and Metabolism, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Alice P S Kong
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Majid Ezzati
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; Medical Research Council Centre for Environment and Health, Imperial College London, London, UK; WHO Collaborating Centre on NCD Surveillance and Epidemiology, Imperial College London, London, UK
| | - Carlos A Aguilar-Salinas
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Margaret McGill
- Diabetes Centre, Royal Prince Alfred Hospital, University of Sydney, Sydney, NSW, Australia
| | - Naomi S Levitt
- Chronic Disease Initiative for Africa, Department of Medicine, Faculty of Medicine and Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Guang Ning
- Shanghai Clinical Center for Endocrine and Metabolic Disease, Department of Endocrinology, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China; Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai, China
| | - Wing-Yee So
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jean Adams
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Paula Bracco
- School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Nita G Forouhi
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Gabriel A Gregory
- Life for a Child Program, Diabetes NSW and ACT, Glebe, NSW, Australia; Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Jingchuan Guo
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, KS, USA
| | - Xinyang Hua
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Emma L Klatman
- Life for a Child Program, Diabetes NSW and ACT, Glebe, NSW, Australia
| | - Dianna J Magliano
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Boon-Peng Ng
- Division of Diabetes Translation, US Centers for Disease Control and Prevention, Atlanta, GA, USA; College of Nursing and Disability, Aging and Technology Cluster, University of Central Florida, Orlando, FL, USA
| | - David Ogilvie
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Jenna Panter
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Meda Pavkov
- Division of Diabetes Translation, US Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Hui Shao
- Division of Diabetes Translation, US Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Nigel Unwin
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Martin White
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Constance Wou
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Maria I Schmidt
- School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Ambady Ramachandran
- India Diabetes Research Foundation and Dr A Ramachandran's Diabetes Hospitals, Chennai, India
| | - Yutaka Seino
- Center for Diabetes, Endocrinology and Metabolism, Kansai Electric Power Hospital, Osaka, Japan; Yutaka Seino Distinguished Center for Diabetes Research, Kansai Electric Power Medical Research Institute, Kobe, Japan
| | - Peter H Bennett
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
| | - Brian Oldenburg
- Nossal Institute for Global Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia; WHO Collaborating Centre on Implementation Research for Prevention and Control of NCDs, University of Melbourne, Melbourne, VIC, Australia
| | - Juan José Gagliardino
- Centro de Endocrinología Experimental y Aplicada, UNLP-CONICET-CICPBA, Facultad de Ciencias Médicas, Universidad Nacional de La Plata, La Plata, Argentina
| | - Andrea O Y Luk
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Asia Diabetes Foundation, Hong Kong Special Administrative Region, China
| | - Philip M Clarke
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Graham D Ogle
- Life for a Child Program, Diabetes NSW and ACT, Glebe, NSW, Australia; National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Sydney, NSW, Australia
| | - Melanie J Davies
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Rury R Holman
- Diabetes Trials Unit, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Edward W Gregg
- Division of Diabetes Translation, US Centers for Disease Control and Prevention, Atlanta, GA, USA; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
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10
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Bonora E, Cataudella S, Marchesini G, Miccoli R, Vaccaro O, Fadini GP, Martini N, Rossi E. Incidence of diabetes mellitus in Italy in year 2018. A nationwide population-based study of the ARNO Diabetes Observatory. Nutr Metab Cardiovasc Dis 2021; 31:2338-2344. [PMID: 34074587 DOI: 10.1016/j.numecd.2021.04.017] [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: 03/06/2021] [Revised: 04/20/2021] [Accepted: 04/20/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUNDS AND AIMS To assess incidence of diabetes in Italy in 2018 by the use of administrative claims from several million residents. Differences in rates in men and women across decades of age were investigated. Incident rates of insulin or noninsulin treated subjects were also examined. METHODS AND RESULTS We analyzed administrative healthcare claims of 11,300,750 subjects monitored by the ARNO Diabetes Observatory. Incident cases of diabetes were identified by glucose lowering drug prescriptions, disease-specific co-payment exemptions and hospital discharge codes related to diabetes occurring in 2018 but not in 2017. We identified 697,208 subjects with ascertained diabetes. Incident cases were 65,932, with a rate of 5.83 per 1000 person-years (p-y). Incidence of drug-treated diabetes (n = 60,271) was 5.33 per 1000 p-y. Subjects receiving only insulin prescriptions were 5652 (rate 0.50 per 1000 p-y) and those receiving only prescriptions of noninsulin medications were 51,085 (rate 4.52 per 1000 p-y). Incidence rates progressively increased across decades until age 80 and then dropped by 25-30%. Overall, incident rates were generally higher in women aged 11-40 and in men aged ≥51. CONCLUSIONS Recent cases represented ~10% of the population of diabetic subjects. Incidence of noninsulin-treated diabetes was almost 10-fold higher than incidence of insulin-treated diabetes. Substantial differences in incidence rates were observed in men and women of several decades of age: women more affected in adolescence and young adult age, men more affected in mature and advanced age. These data provide further understanding on the epidemiological burden of the disease in Italy.
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Affiliation(s)
| | | | | | | | | | | | | | - Elisa Rossi
- CINECA - Interuniversity Consortium, Bologna, Italy
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11
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Magliano DJ, Chen L, Islam RM, Carstensen B, Gregg EW, Pavkov ME, Andes LJ, Balicer R, Baviera M, Boersma-van Dam E, Booth GL, Chan JCN, Chua YX, Fosse-Edorh S, Fuentes S, Gulseth HL, Gurevicius R, Ha KH, Hird TR, Jermendy G, Khalangot MD, Kim DJ, Kiss Z, Kravchenko VI, Leventer-Roberts M, Lin CY, Luk AOY, Mata-Cases M, Mauricio D, Nichols GA, Nielen MM, Pang D, Paul SK, Pelletier C, Pildava S, Porath A, Read SH, Roncaglioni MC, Lopez-Doriga Ruiz P, Shestakova M, Vikulova O, Wang KL, Wild SH, Yekutiel N, Shaw JE. Trends in the incidence of diagnosed diabetes: a multicountry analysis of aggregate data from 22 million diagnoses in high-income and middle-income settings. Lancet Diabetes Endocrinol 2021; 9:203-211. [PMID: 33636102 PMCID: PMC10984526 DOI: 10.1016/s2213-8587(20)30402-2] [Citation(s) in RCA: 65] [Impact Index Per Article: 21.7] [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] [Received: 09/08/2020] [Revised: 11/24/2020] [Accepted: 11/26/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND Diabetes prevalence is increasing in most places in the world, but prevalence is affected by both risk of developing diabetes and survival of those with diabetes. Diabetes incidence is a better metric to understand the trends in population risk of diabetes. Using a multicountry analysis, we aimed to ascertain whether the incidence of clinically diagnosed diabetes has changed over time. METHODS In this multicountry data analysis, we assembled aggregated data describing trends in diagnosed total or type 2 diabetes incidence from 24 population-based data sources in 21 countries or jurisdictions. Data were from administrative sources, health insurance records, registries, and a health survey. We modelled incidence rates with Poisson regression, using age and calendar time (1995-2018) as variables, describing the effects with restricted cubic splines with six knots for age and calendar time. FINDINGS Our data included about 22 million diabetes diagnoses from 5 billion person-years of follow-up. Data were from 19 high-income and two middle-income countries or jurisdictions. 23 data sources had data from 2010 onwards, among which 19 had a downward or stable trend, with an annual estimated change in incidence ranging from -1·1% to -10·8%. Among the four data sources with an increasing trend from 2010 onwards, the annual estimated change ranged from 0·9% to 5·6%. The findings were robust to sensitivity analyses excluding data sources in which the data quality was lower and were consistent in analyses stratified by different diabetes definitions. INTERPRETATION The incidence of diagnosed diabetes is stabilising or declining in many high-income countries. The reasons for the declines in the incidence of diagnosed diabetes warrant further investigation with appropriate data sources. FUNDING US Centers for Disease Control and Prevention, Diabetes Australia Research Program, and Victoria State Government Operational Infrastructure Support Program.
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Affiliation(s)
- Dianna J Magliano
- Department of Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
| | - Lei Chen
- Department of Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Rakibul M Islam
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Bendix Carstensen
- Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Edward W Gregg
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Meda E Pavkov
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Linda J Andes
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Ran Balicer
- Clalit Research Institute, Clalit Health Services, Tel Aviv, Israel
| | - Marta Baviera
- Laboratory of Cardiovascular Prevention, Mario Negri Institute for Pharmacological Research IRCCS, Milan, Italy
| | - Elise Boersma-van Dam
- Department of General Practice, Netherlands Institute for Health Services Research, Utrecht, Netherlands
| | - Gillian L Booth
- Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Yi Xian Chua
- Epidemiology and Disease Control Division, Public Health Group, Ministry of Health, Singapore
| | - Sandrine Fosse-Edorh
- Department of Non-Communicable Diseases and Trauma, Santé Publique France, Saint-Maurice, France
| | - Sonsoles Fuentes
- Department of Non-Communicable Diseases and Trauma, Santé Publique France, Saint-Maurice, France
| | - Hanne L Gulseth
- Department for Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Norway
| | - Romualdas Gurevicius
- Center of Health Information, Institute of Hygiene, Vilnius, Lithuania; Faculty of Public Governance and Business, Mykolas Romeris University, Vilnius, Lithuania
| | - Kyoung Hwa Ha
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, South Korea
| | - Thomas R Hird
- Department of Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - György Jermendy
- 3rd Medical Department, Bajcsy-Zsilinszky Hospital, Budapest, Hungary
| | - Mykola D Khalangot
- Komisarenko Institute of Endocrinology and Metabolism, National Academy of Medical Sciences, Kyiv, Ukraine; Endocrinology Department, Shupyk National Medical Academy of Postgraduate Education, Kyiv, Ukraine
| | - Dae Jung Kim
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, South Korea
| | - Zoltán Kiss
- 2nd Department of Medicine and Nephrological Center, Medical Faculty, University of Pécs, Pécs, Hungary
| | - Victor I Kravchenko
- Komisarenko Institute of Endocrinology and Metabolism, National Academy of Medical Sciences, Kyiv, Ukraine
| | - Maya Leventer-Roberts
- Clalit Research Institute, Clalit Health Services, Tel Aviv, Israel; Department of Pediatrics and Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Chun-Yi Lin
- General Clinical Research Center, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Andrea O Y Luk
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Manel Mata-Cases
- CIBER of Diabetes and Associated Metabolic Diseases, Instituto de Salud Carlos III, Barcelona, Spain; DAP-Cat Group, Institut Català de la Salut, Unitat de Suport a la Recerca Barcelona Ciutat, Institut Universitari d'Investigació en Atenció Primària Jordi Gol, Barcelona, Spain
| | - Didac Mauricio
- CIBER of Diabetes and Associated Metabolic Diseases, Instituto de Salud Carlos III, Barcelona, Spain; DAP-Cat Group, Institut Català de la Salut, Unitat de Suport a la Recerca Barcelona Ciutat, Institut Universitari d'Investigació en Atenció Primària Jordi Gol, Barcelona, Spain; Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Barcelona, Spain
| | - Gregory A Nichols
- Science Programs Department, Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Mark M Nielen
- Department of General Practice, Netherlands Institute for Health Services Research, Utrecht, Netherlands
| | - Deanette Pang
- Epidemiology and Disease Control Division, Public Health Group, Ministry of Health, Singapore
| | - Sanjoy K Paul
- Melbourne EpiCentre, University of Melbourne, Melbourne, VIC, Australia
| | - Catherine Pelletier
- Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, ON, Canada
| | - Santa Pildava
- Research and Health Statistics Department, Centre for Disease Prevention and Control, Riga, Latvia
| | - Avi Porath
- Research Institute, Maccabi Healthcare Services, Tel Aviv, Israel; Faculty of Health, Ben Gurion University, Beer-Sheva, Israel
| | | | - Maria Carla Roncaglioni
- Laboratory of Cardiovascular Prevention, Mario Negri Institute for Pharmacological Research IRCCS, Milan, Italy
| | - Paz Lopez-Doriga Ruiz
- Department for Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Norway; Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | | | - Olga Vikulova
- Diabetes Institute, Endocrinology Research Center, Moscow, Russia
| | - Kang-Ling Wang
- General Clinical Research Center, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Sarah H Wild
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Naama Yekutiel
- Research Institute, Maccabi Healthcare Services, Tel Aviv, Israel
| | - Jonathan E Shaw
- Department of Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; School of Life Sciences, Latrobe University, Bundoora, VIC, Australia
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Pal K, Horsfall L, Sharma M, Nazareth I, Petersen I. Time trends in the incidence of clinically diagnosed type 2 diabetes and pre-diabetes in the UK 2009-2018: a retrospective cohort study. BMJ Open Diabetes Res Care 2021; 9:e001989. [PMID: 33741554 PMCID: PMC7986873 DOI: 10.1136/bmjdrc-2020-001989] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [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: 11/02/2020] [Revised: 02/03/2021] [Accepted: 02/22/2021] [Indexed: 12/16/2022] Open
Abstract
INTRODUCTION To describe recent trends in the incidence of clinically diagnosed type 2 diabetes and pre-diabetes in people seen in UK general practice. RESEARCH DESIGN AND METHODS A retrospective cohort study using IQVIA Medical Research Data looking at people newly diagnosed with type 2 diabetes and pre-diabetes through primary care registers in the UK between 1 January 2009 and 31 December 2018. RESULTS A cohort of 426 717 people were clinically diagnosed with type 2 diabetes and 418 656 people met the criteria for a diagnosis of pre-diabetes in that time period. The incidence of clinically diagnosed type 2 diabetes per 1000 person years at risk (PYAR) in men decreased from a peak of 5.06 per 1000 PYAR (95% CI 4.97 to 5.15) in 2013 to 3.56 per 1000 PYAR (95% CI 3.46 to 3.66) by 2018. For women, the incidence of clinically diagnosed type 2 diabetes per 1000 PYAR decreased from 4.45 (95% CI 4.37 to 4.54) in 2013 to 2.85 (2.76 to 2.93) in 2018. The incidence rate of pre-diabetes tripled by the end of the same study period in men and women. CONCLUSIONS Between 2009 and 2018, the incidence rate of new clinical diagnoses of type 2 diabetes recorded in a UK primary care database decreased by a third from its peak in 2013-2014, while the incidence of pre-diabetes has tripled. The implications of this on timely treatment, complication rates and mortality need further longer term exploration.
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Affiliation(s)
- Kingshuk Pal
- Research Department of Primary Care and Population Health, University College London, London, UK
| | - Laura Horsfall
- Research Department of Primary Care and Population Health, University College London, London, UK
| | - Manuj Sharma
- Research Department of Primary Care and Population Health, University College London, London, UK
| | - Irwin Nazareth
- Research Department of Primary Care and Population Health, University College London, London, UK
| | - Irene Petersen
- Research Department of Primary Care and Population Health, University College London, London, UK
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Xu Y, Zhou Y, Liu J, Wang C, Qu Z, Wei Z, Zhou D. Genetically increased circulating 25(OH)D level reduces the risk of type 2 diabetes in subjects with deficiency of vitamin D: A large-scale Mendelian randomization study. Medicine (Baltimore) 2020; 99:e23672. [PMID: 33371106 PMCID: PMC7748166 DOI: 10.1097/md.0000000000023672] [Citation(s) in RCA: 9] [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: 02/13/2020] [Accepted: 11/10/2020] [Indexed: 12/13/2022] Open
Abstract
Observational studies have reported that Vitamin D deficiency and the risk type 2 diabetes are associated, but the causation is unclear. Mendelian randomization (MR) involving genetic variants as instrument variables (IVs) overcomes the reverse-casualty and unmeasured confounding. However, with limited sample size and IVs, previous MR studies showed inconsistent results. Leveraging by a largely increased sample size for both stages, we aim to provide an updated and precise estimate for the causality between Vitamin D and type 2 diabetes.A 2-sample multi-IVs MR was performed. IVs for circulating 25-hydroxyvitamin D (25(OH)D) were obtained from a genome-wide association study from UK biobank involving 329,247 subjects of European ancestry. The causal effect of 25(OH)D and type 2 diabetes was estimated using traditional inverse variance weighting and MR pleiotropy residual sum and outlier (MR-PRESSO) framework which provides a robust estimate by systematically filtering out IVs identified with potential pleiotropy effects.A higher genetically instrumented 25(OH)D was causally linked to reduced risk of type 2 diabetes risk by MR-PRESSO [odds ratio (OR) per standard deviation (SD) = 0.950, 95% confidence interval (CI) = 0.913-0.988, P = .010] after removing 13 (13/193) invalid IVs. In addition, we confirmed the causal role Vitamin D using 2 synthesis-related single-nucleotide polymorphisms (SNPs) which are consistent with previous MR studies [OR per SD = 0.894, 95% CI = 0.816-0.979, P = .016].With a largely improved sample size, our results confirmed that genetically increased 25(OH)D concentration reduced the risk of type 2 diabetes and provided a more precise estimate for the effect size. The updated result empowers the role of Vitamin D and provides nontrivial evidence for interventional studies.
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Affiliation(s)
- Yingying Xu
- Department of Endocrine Rheumatism and nephrology, The Third Affiliated Hospital of Zhejiang Chinese Medical University
| | - Yuan Zhou
- Department of Pathology, Zhejiang University School of Medicine
| | - Jingjing Liu
- Department of Endocrine Rheumatism and nephrology, The Third Affiliated Hospital of Zhejiang Chinese Medical University
| | - Chenfang Wang
- Department of Endocrine Rheumatism and nephrology, The Third Affiliated Hospital of Zhejiang Chinese Medical University
| | - Zhongjie Qu
- Department of Endocrine Rheumatism and nephrology, The Third Affiliated Hospital of Zhejiang Chinese Medical University
| | - Zhili Wei
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Dan Zhou
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN
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14
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Ramos PL, Sousa I, Santana R, Morgan WH, Gordon K, Crewe J, Rocha-Sousa A, Macedo AF. A Review of Capture-recapture Methods and Its Possibilities in Ophthalmology and Vision Sciences. Ophthalmic Epidemiol 2020; 27:310-324. [PMID: 32363970 DOI: 10.1080/09286586.2020.1749286] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [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: 10/24/2022]
Abstract
Epidemiological information is expected to be used to develop key aspects of eye care such as to control and minimise the impact of diseases, to allocate resources, to monitor public health actions, to determine the best treatment options and to forecast the consequence of diseases in populations. Epidemiological studies are expected to provide information about the prevalence and/or incidence of eye diseases or conditions. To determine prevalence is necessary to perform a cross-sectional screening of the population at risk to ascertain the number of cases. The aim of this review is to describe and evaluate capture-recapture methods (or models) to ascertaining the number of individuals with a disease (e.g. diabetic retinopathy) or condition (e.g. vision impairment) in the population. The review covers the fundamental aspects of capture-recapture methods that would enable non-experts in epidemiology to use it in ophthalmic studies. The review provides information about theoretical aspects of the method with examples of studies in ophthalmology in which it has been used. We also provide a problem/solution approach for limitations arising from the lists obtained from registers or other reliable sources. We concluded that capture-recapture models can be considered reliable to estimate the total number of cases with eye conditions using incomplete information from registers. Accordingly, the method may be used to maintain updated epidemiological information about eye conditions helping to tackle the lack of surveillance information in many regions of the globe.
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Affiliation(s)
- Pedro Lima Ramos
- Department of Medicine, Optometry Linnaeus University Kalmar , Kalmar, Sweden.,Department and Center of Physics-Optometry and Vision Science, University of Minho , Braga, Portugal
| | - Inês Sousa
- Department of Mathematics and Applications and Center of Molecular and Environmental Biology, School of Sciences, University of Minho , Braga, Portugal
| | - Rui Santana
- National School of Public Health and Comprehensive Health Research Centre, Public Health Research Centre, NOVA University of Lisbon , Lisbon, Portugal
| | - William H Morgan
- Lions Eye Institute, Centre for Ophthalmology and Vision Science, University of Western Australia , Perth, Australia
| | - Keith Gordon
- New Zealand Blind Foundation, Te Tūāpapa O Te Hunga Kāpō , Auckland, New Zealand
| | - Julie Crewe
- Lions Eye Institute, Centre for Ophthalmology and Vision Science, University of Western Australia , Perth, Australia
| | - Amândio Rocha-Sousa
- Organs of Senses, Faculty of Medicine, University of Porto , Porto, Portugal
| | - Antonio Filipe Macedo
- Department of Medicine, Optometry Linnaeus University Kalmar , Kalmar, Sweden.,Department and Center of Physics-Optometry and Vision Science, University of Minho , Braga, Portugal
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Abstract
BACKGROUND Population aging is dynamic process of increasing proportion of older adults in the total population, which is an inescapable result of decline in fertility rate and extension in life expectancy. Inevitably, age-related metabolic diseases, for example obesity, type 2 diabetes, metabolic syndrome, dyslipidemia, and nonalcoholic fatty liver disease, are becoming epidemic globally along with the demographic transition. CONTENT The review examines the literatures related to: 1) the epidemiology of age related metabolic diseases including obesity, type 2 diabetes, metabolic syndrome, dyslipidemia, and nonalcoholic fatty liver disease; and 2) the risk factors of age related metabolic diseases including genetic factors, diet, smoking, Physical activity, intestinal microbiota and environmental factors. CONCLUSION Population aging is becoming epidemic worldwide, resulting in increasing incidence and prevalence of a serious of age-related metabolic diseases. Both genetic and environmental factors contribute to the diseases, thus interventions targeting on these factors may have beneficial effect on the development of age-related metabolic diseases.
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Affiliation(s)
- Xinru Deng
- Department of Endocrinology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, Henan, 450003, China
| | - Pengxu Wang
- Department of Endocrinology, Henan University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, Henan, 450003, China
| | - Huijuan Yuan
- Department of Endocrinology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, Henan, 450003, China.
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Abstract
OBJECTIVE To assess what proportions of studies reported increasing, stable, or declining trends in the incidence of diagnosed diabetes. DESIGN Systematic review of studies reporting trends of diabetes incidence in adults from 1980 to 2017 according to PRISMA guidelines. DATA SOURCES Medline, Embase, CINAHL, and reference lists of relevant publications. ELIGIBILITY CRITERIA Studies of open population based cohorts, diabetes registries, and administrative and health insurance databases on secular trends in the incidence of total diabetes or type 2 diabetes in adults were included. Poisson regression was used to model data by age group and year. RESULTS Among the 22 833 screened abstracts, 47 studies were included, providing data on 121 separate sex specific or ethnicity specific populations; 42 (89%) of the included studies reported on diagnosed diabetes. In 1960-89, 36% (8/22) of the populations studied had increasing trends in incidence of diabetes, 55% (12/22) had stable trends, and 9% (2/22) had decreasing trends. In 1990-2005, diabetes incidence increased in 66% (33/50) of populations, was stable in 32% (16/50), and decreased in 2% (1/50). In 2006-14, increasing trends were reported in only 33% (11/33) of populations, whereas 30% (10/33) and 36% (12/33) had stable or declining incidence, respectively. CONCLUSIONS The incidence of clinically diagnosed diabetes has continued to rise in only a minority of populations studied since 2006, with over a third of populations having a fall in incidence in this time period. Preventive strategies could have contributed to the fall in diabetes incidence in recent years. Data are limited in low and middle income countries, where trends in diabetes incidence could be different. SYSTEMATIC REVIEW REGISTRATION Prospero CRD42018092287.
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Affiliation(s)
- Dianna J Magliano
- Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Rakibul M Islam
- Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | | | - Edward W Gregg
- Centres for Diseases Control and Prevention, Division of Diabetes Translation, Atlanta, GA, USA
- School of Public Health, Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Meda E Pavkov
- Centres for Diseases Control and Prevention, Division of Diabetes Translation, Atlanta, GA, USA
| | - Jessica L Harding
- Centres for Diseases Control and Prevention, Division of Diabetes Translation, Atlanta, GA, USA
| | - Maryam Tabesh
- Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Digsu N Koye
- Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
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Barreto M, Kislaya I, Gaio V, Rodrigues AP, Santos AJ, Namorado S, Antunes L, Gil AP, Boavida JM, Ribeiro RT, Silva AC, Vargas P, Prokopenko T, Nunes B, Matias Dias C. Prevalence, awareness, treatment and control of diabetes in Portugal: Results from the first National Health examination Survey (INSEF 2015). Diabetes Res Clin Pract 2018; 140:271-278. [PMID: 29626582 DOI: 10.1016/j.diabres.2018.03.052] [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: 11/22/2017] [Revised: 03/20/2018] [Accepted: 03/29/2018] [Indexed: 12/14/2022]
Abstract
AIMS Diabetes Mellitus is a major public health threat worldwide and continues to increase in numbers and significance. Estimates of diabetes prevalence, awareness, treatment and control are essential to effectively monitor its trends, plan and evaluate interventions. METHODS We conducted a nationwide health examination survey in the population residing in Portugal aged between 25 and 74 years old in 2015. It consisted in a cross sectional prevalence study which included the measurement of HbA1c, a physical examination and a general health interview of a probabilistic sample of 4911 individuals (Authorization n°9348/2010 of the National Committee for Data Protection). RESULTS The overall prevalence of diabetes was 9.9% (95%CI: 8.4; 11.5). It was higher in males than in females (12.1% vs 7.8%). Diabetes was more prevalent among individuals of lower education and without any professional activity. The majority of persons with diabetes was aware of their condition (87.1%) and was taking antidiabetic medication (79.7%). Of these, 63.2% had glycated hemoglobin levels lower than 7.0% (53 mmol/mol), but the majority failed to comply with the LDL and blood pressure recommended clinical targets (71.9% and 59.0%). Similarly, the prevalence of prediabetes was 16%, higher among women than men (17.5% vs 14.4%). CONCLUSION The prevalence of diabetes and prediabetes remains higher than the global and European estimates, although there is increasing awareness of this disorder.
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Affiliation(s)
- Marta Barreto
- Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, IP, Avenida Padre Cruz, 1649-016 Lisboa, Portugal; Centro de Investigação em Saúde Pública, Escola Nacional de Saúde Pública, Universidade Nova de Lisboa, Avenida Padre Cruz, 1649-560 Lisboa, Portugal.
| | - Irina Kislaya
- Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, IP, Avenida Padre Cruz, 1649-016 Lisboa, Portugal
| | - Vânia Gaio
- Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, IP, Avenida Padre Cruz, 1649-016 Lisboa, Portugal
| | - Ana Paula Rodrigues
- Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, IP, Avenida Padre Cruz, 1649-016 Lisboa, Portugal
| | - Ana João Santos
- Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, IP, Avenida Padre Cruz, 1649-016 Lisboa, Portugal
| | - Sónia Namorado
- Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, IP, Avenida Padre Cruz, 1649-016 Lisboa, Portugal
| | - Liliana Antunes
- Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, IP, Avenida Padre Cruz, 1649-016 Lisboa, Portugal
| | - Ana Paula Gil
- Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, IP, Avenida Padre Cruz, 1649-016 Lisboa, Portugal
| | - José Manuel Boavida
- Associação Protetora dos Diabéticos de Portugal, Rua Rodrigo da Fonseca n°1, 1250-189 Lisboa, Portugal
| | - Rogério Tavares Ribeiro
- Associação Protetora dos Diabéticos de Portugal, Rua Rodrigo da Fonseca n°1, 1250-189 Lisboa, Portugal
| | - Ana Clara Silva
- Instituto de Administração da Saúde e Assuntos Sociais, IP-RAM, Secretaria Regional da Saúde da Região Autónoma da Madeira, Rua das Pretas n°1, 9050-000 Funchal, Madeira, Portugal
| | - Patrícia Vargas
- Direção de Serviços de Cuidados de Saúde, Secretaria Regional da Saúde da Região Autónoma dos Açores, Solar dos Remédios, 9701-855 Angra do Heroísmo, Açores, Portugal
| | - Tamara Prokopenko
- Unidade de Saúde Pública Alentejo Litoral, Núcleo de Alcácer do Sal, Avenida José Saramago n°14, 7580-206 Alcácer do Sal, Portugal
| | - Baltazar Nunes
- Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, IP, Avenida Padre Cruz, 1649-016 Lisboa, Portugal; Centro de Investigação em Saúde Pública, Escola Nacional de Saúde Pública, Universidade Nova de Lisboa, Avenida Padre Cruz, 1649-560 Lisboa, Portugal
| | - Carlos Matias Dias
- Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, IP, Avenida Padre Cruz, 1649-016 Lisboa, Portugal; Centro de Investigação em Saúde Pública, Escola Nacional de Saúde Pública, Universidade Nova de Lisboa, Avenida Padre Cruz, 1649-560 Lisboa, Portugal
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18
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Bronsveld HK, Peeters PJHL, de Groot MCH, de Boer A, Schmidt MK, De Bruin ML. Trends in breast cancer incidence among women with type-2 diabetes in British general practice. Prim Care Diabetes 2017; 11:373-382. [PMID: 28237628 DOI: 10.1016/j.pcd.2017.02.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [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: 12/03/2016] [Revised: 02/03/2017] [Accepted: 02/04/2017] [Indexed: 12/26/2022]
Abstract
AIMS To quantify breast cancer incidence in women with type-2 diabetes and assess age-standardized trends in invasive breast cancer incidence over time and by age groups. METHODS A population-based cohort study was conducted using the British general practice database (Clinical Practice Research Datalink) using data from 1989 to 2012. All adult women prescribed anti-hyperglycemic medication were selected and matched (1:1) on age and clinical practice to a reference cohort without diabetes. RESULTS During approximately 1.6 million person years (py), 2371 breast cancer cases were diagnosed in the diabetes cohort (n=147,998) and 2252 in the reference cohort (n=147,998). Incidence of breast cancer, overall or by age groups, among women with diabetes remained stable over time. The (overall) age-standardized breast cancer IR per 100,000 py of the diabetes cohort (150, 95%CI:143-157) resembled that observed in the reference cohort (148, 95%CI:141-156); with an incidence rate ratio (IRR) of 1.01 (95%CI:0.94-1.08, p>0.05). CONCLUSIONS Currently, around 2880 women with type-2 diabetes are diagnosed with breast cancer per year in the United Kingdom. However, breast cancer incidence remained stable in the last 10 years and seems to be comparable in women with and without diabetes.
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Affiliation(s)
- Heleen K Bronsveld
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands; Division Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - Paul J H L Peeters
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.
| | - Mark C H de Groot
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands; Department of Clinical Chemistry and Haematology, Division of Laboratory and Pharmacy, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Anthonius de Boer
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.
| | - Marjanka K Schmidt
- Division Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - Marie L De Bruin
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands; Copenhagen Centre for Regulatory Science, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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Seclen SN, Rosas ME, Arias AJ, Medina CA. Elevated incidence rates of diabetes in Peru: report from PERUDIAB, a national urban population-based longitudinal study. BMJ Open Diabetes Res Care 2017; 5:e000401. [PMID: 28878935 PMCID: PMC5574423 DOI: 10.1136/bmjdrc-2017-000401] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Revised: 05/03/2017] [Accepted: 06/10/2017] [Indexed: 01/05/2023] Open
Abstract
OBJECTIVE A recent report from a non-nationally representative, geographically diverse sample in four separate communities in Peru suggests an unusually high diabetes incidence. We aimed to estimate the national diabetes incidence rate using PERUDIAB, a probabilistic, national urban population-based longitudinal study. RESEARCH DESIGN AND METHODS 662 subjects without diabetes, selected by multistage, cluster, random sampling of households, representing the 24 administrative and the 3 (coast, highlands and jungle) natural regions across the country, from both sexes, aged 25+ years at baseline, enrolled in 2010-2012, were followed for 3.8 years. New diabetes cases were defined as fasting blood glucose ≥126 mg/dL or on medical diabetes treatment. RESULTS There were 49 cases of diabetes in 2408 person-years follow-up. The weighted cumulative incidence of diabetes was 7.2% while the weighted incidence rate was estimated at 19.5 (95% CI 13.9 to 28.3) new cases per 1000 person-years. Older age, obesity and technical or higher education were statistically associated with the incidence of diabetes. CONCLUSION Our results confirm that the incidence of diabetes in Peru is among the highest reported globally. The fast economic growth in the last 20 years, high overweight and obesity rates may have triggered this phenomenon.
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Affiliation(s)
- Segundo Nicolas Seclen
- Diabetes, Hypertension and Lipids Unit, Institute of Gerontology, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Moises Ernesto Rosas
- School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Arturo Jaime Arias
- Technical Direction of Demography and Social Indicators, National Institute of Statistics and Informatics, Lima, Peru
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