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Pleus S, Link M, Hinzmann R, Öter S, Eichenlaub M, Baumstark A, Haug C, Freckmann G. Effect of Arterialization on Venous Blood Glucose Concentrations and Implications for Observed Continuous Glucose Monitoring Accuracy. Diabetes Technol Ther 2024; 26:238-245. [PMID: 38156961 DOI: 10.1089/dia.2023.0489] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
Background: Heating of the arm and/or hand ("arterialization") is sometimes used in continuous glucose monitoring (CGM) performance studies with the reported aim of reducing differences between venous and capillary glucose concentrations. In this study, the effect of heating on venous glucose concentrations and CGM accuracy was investigated. Methods: A heating pad set to 50°C (122°F) was used with 20 participants to heat either the dominant or nondominant arm and hand. Venous and capillary samples were obtained every 15 min on both arms throughout each of three 6-h glucose challenges. CGM sensors were worn on each upper arm for each of the three visits. Results: Heating of the arm led to a median increase in venous glucose concentrations of +1.4%. No similar effect on capillary concentrations was observed. As a result, the median capillary to venous difference decreased from +5.9% in the nonheated arm to +4.2% in the heated arm. CGM accuracy observed in this study was affected by the selection of heated venous, nonheated venous, or capillary glucose concentrations as comparator data. The heating effect was more pronounced with rapidly decreasing glucose concentrations. Temperatures on the skin did not exceed 40°C (104°F). No adverse events or protocol deviations were associated with the use of the heating pad. Conclusions: Heating of the arm led to a small increase in venous glucose concentrations, but venous concentrations did not reach the level of capillary glucose concentrations. CGM accuracy observed in this study varied depending on the selected comparator data. This study was registered at the German Clinical Trials Register (DRKS00031197).
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Affiliation(s)
- Stefan Pleus
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Manuela Link
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | | | - Sükrü Öter
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Manuel Eichenlaub
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Annette Baumstark
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Cornelia Haug
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Guido Freckmann
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
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La Grotta R, Pellegrini V, Prattichizzo F, Amata O, Panella L, Frizziero A, Visconti M, Averame G, Brasesco PC, Calabrese I, Vaccaro O, Ceriello A. Feasibility of a Type 2 Diabetes Prevention Program at Nationwide Level in General Practice: A Pilot Study in Italy. J Clin Med 2024; 13:1127. [PMID: 38398440 PMCID: PMC10888610 DOI: 10.3390/jcm13041127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 02/13/2024] [Accepted: 02/15/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND Lifestyle interventions halt the progression of prediabetes to frank type 2 diabetes (T2D). However, the feasibility of a diabetes prevention program promoting tailored interventions on a national scale and conducted by primary care physicians is unclear. METHODS General practitioners located in ten different regions throughout Italy enrolled random subjects without known metabolic diseases to identify individuals with prediabetes and prescribe them an intervention based on physical activity. Using a simple stepwise approach, people referring to their primary care physician for any reason were screened for their diabetes risk with a web-based app of the Findrisc questionnaire. Those at risk for T2D, i.e., with a Findrisc score >9, were invited to come back after overnight fasting to measure fasting glycaemia (FG). Those with 100 ≤ FG < 126 mg/dL were considered as people with prediabetes and compiled the Physical Activity Readiness Questionnaire (PAR-Q) to then receive a personalised prescription of physical activity. RESULTS Overall, 5928 people were enrolled and compiled the questionnaire. Of these, 2895 (48.8%) were at risk for T2D. Among these, FG was measured in 2168 subjects (participation rate 75%). The numbers of individuals with undetected prediabetes and T2D according to FG were 755 and 79 (34.8% and 3.6% of those assessing FG), respectively. Of the 755 subjects in the prediabetes range, 739 compiled the PAR-Q and started a personalised program of physical activity (participation rate 97%). Physicians involved in the study reported a mean of 6 min to perform the screening. CONCLUSIONS Overall, these data suggest the feasibility of a national diabetes prevention program developed by general practitioners using a simple stepwise approach starting from a web app to intercept individuals with prediabetes.
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Affiliation(s)
- Rosalba La Grotta
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Via Fantoli 16/15, 20138 Milan, Italy
| | - Valeria Pellegrini
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Via Fantoli 16/15, 20138 Milan, Italy
| | - Francesco Prattichizzo
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Via Fantoli 16/15, 20138 Milan, Italy
| | - Oriana Amata
- Department of Rehabilitation, Azienda Socio Sanitaria Territoriale (ASST) Gaetano Pini-Centro Specialistico Ortopedico Traumatologico (CTO), Piazza Cardinal Ferrari 1, 20122 Milan, Italy
| | - Lorenzo Panella
- Department of Rehabilitation, Azienda Socio Sanitaria Territoriale (ASST) Gaetano Pini-Centro Specialistico Ortopedico Traumatologico (CTO), Piazza Cardinal Ferrari 1, 20122 Milan, Italy
| | - Antonio Frizziero
- Department of Rehabilitation, Azienda Socio Sanitaria Territoriale (ASST) Gaetano Pini-Centro Specialistico Ortopedico Traumatologico (CTO), Piazza Cardinal Ferrari 1, 20122 Milan, Italy
- Department of Biomedical, Surgical and Dental Sciences, Università degli Studi di Milano, 20122 Milan, Italy
| | - Marco Visconti
- Consorzio Sanità (Co.S.), Via Marconi 3, 26015 Soresina, Italy
| | - Gabriella Averame
- Consorzio Sanità (Co.S.), Via Marconi 3, 26015 Soresina, Italy
- Medicoopliguria, Via Peschiera 33, 16121 Genova, Italy
| | - Pier Claudio Brasesco
- Consorzio Sanità (Co.S.), Via Marconi 3, 26015 Soresina, Italy
- Medicoopliguria, Via Peschiera 33, 16121 Genova, Italy
| | - Ilaria Calabrese
- Department of Clinical Medicine and Surgery, "Federico II" University of Naples, Via Sergio Pansini, 5, 80131 Naples, Italy
| | - Olga Vaccaro
- Department of Clinical Medicine and Surgery, "Federico II" University of Naples, Via Sergio Pansini, 5, 80131 Naples, Italy
| | - Antonio Ceriello
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Via Fantoli 16/15, 20138 Milan, Italy
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3
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Anjana RM, Unnikrishnan R, Deepa M, Pradeepa R, Tandon N, Das AK, Joshi S, Bajaj S, Jabbar PK, Das HK, Kumar A, Dhandhania VK, Bhansali A, Rao PV, Desai A, Kalra S, Gupta A, Lakshmy R, Madhu SV, Elangovan N, Chowdhury S, Venkatesan U, Subashini R, Kaur T, Dhaliwal RS, Mohan V. Metabolic non-communicable disease health report of India: the ICMR-INDIAB national cross-sectional study (ICMR-INDIAB-17). Lancet Diabetes Endocrinol 2023; 11:474-489. [PMID: 37301218 DOI: 10.1016/s2213-8587(23)00119-5] [Citation(s) in RCA: 84] [Impact Index Per Article: 84.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 04/10/2023] [Accepted: 04/12/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND Non-communicable disease (NCD) rates are rapidly increasing in India with wide regional variations. We aimed to quantify the prevalence of metabolic NCDs in India and analyse interstate and inter-regional variations. METHODS The Indian Council of Medical Research-India Diabetes (ICMR-INDIAB) study, a cross-sectional population-based survey, assessed a representative sample of individuals aged 20 years and older drawn from urban and rural areas of 31 states, union territories, and the National Capital Territory of India. We conducted the survey in multiple phases with a stratified multistage sampling design, using three-level stratification based on geography, population size, and socioeconomic status of each state. Diabetes and prediabetes were diagnosed using the WHO criteria, hypertension using the Eighth Joint National Committee guidelines, obesity (generalised and abdominal) using the WHO Asia Pacific guidelines, and dyslipidaemia using the National Cholesterol Education Program-Adult Treatment Panel III guidelines. FINDINGS A total of 113 043 individuals (79 506 from rural areas and 33 537 from urban areas) participated in the ICMR-INDIAB study between Oct 18, 2008 and Dec 17, 2020. The overall weighted prevalence of diabetes was 11·4% (95% CI 10·2-12·5; 10 151 of 107 119 individuals), prediabetes 15·3% (13·9-16·6; 15 496 of 107 119 individuals), hypertension 35·5% (33·8-37·3; 35 172 of 111 439 individuals), generalised obesity 28·6% (26·9-30·3; 29 861 of 110 368 individuals), abdominal obesity 39·5% (37·7-41·4; 40 121 of 108 665 individuals), and dyslipidaemia 81·2% (77·9-84·5; 14 895 of 18 492 of 25 647). All metabolic NCDs except prediabetes were more frequent in urban than rural areas. In many states with a lower human development index, the ratio of diabetes to prediabetes was less than 1. INTERPRETATION The prevalence of diabetes and other metabolic NCDs in India is considerably higher than previously estimated. While the diabetes epidemic is stabilising in the more developed states of the country, it is still increasing in most other states. Thus, there are serious implications for the nation, warranting urgent state-specific policies and interventions to arrest the rapidly rising epidemic of metabolic NCDs in India. FUNDING Indian Council of Medical Research and Department of Health Research, Ministry of Health and Family Welfare, Government of India.
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Affiliation(s)
- Ranjit Mohan Anjana
- Department of Diabetology, Madras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, Chennai, Tamil Nadu, India.
| | - Ranjit Unnikrishnan
- Department of Diabetology, Madras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, Chennai, Tamil Nadu, India
| | - Mohan Deepa
- Department of Epidemiology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
| | - Rajendra Pradeepa
- Department of Research Operations & Diabetes Complications, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
| | - Nikhil Tandon
- Department of Endocrinology & Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Ashok Kumar Das
- Department of General Medicine & Endocrinology, Pondicherry Institute of Medical Sciences, Puducherry, India
| | - Shashank Joshi
- Department of Diabetology & Endocrinology, Lilavati Hospital and Research Centre, Mumbai, Maharashtra, India
| | - Sarita Bajaj
- Department of Medicine, Moti Lal Nehru Medical College, Prayagraj, Uttar Pradesh, India
| | | | | | - Ajay Kumar
- Department of Diabetology, Diabetes Care and Research Centre, Patna, Bihar, India
| | | | - Anil Bhansali
- Department of Endocrinology, Gini Health, Mohali, Punjab, India
| | - Paturi Vishnupriya Rao
- Department of Endocrinology, Nizam's Institute of Medical Sciences, Hyderabad, Telangana, India
| | - Ankush Desai
- Department of Endocrinology, Goa Medical College, Bambolim, Goa, India
| | - Sanjay Kalra
- Department of Endocrinology, Bharti Hospital, Karnal, Haryana, India
| | - Arvind Gupta
- Department of Diabetology, Jaipur Diabetes Research Centre, Jaipur, Rajasthan, India
| | - Ramakrishnan Lakshmy
- Department of Cardiac Biochemistry, All India Institute of Medical Sciences, New Delhi, India
| | - Sri Venkata Madhu
- Department of Endocrinology, University College of Medical Sciences and GTB Hospital, New Delhi, India
| | - Nirmal Elangovan
- Department of Research Operations & Diabetes Complications, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
| | - Subhankar Chowdhury
- Department of Endocrinology & Metabolism, Institute of Post Graduate Medical Education & Research (IPGMER) & SSKM Hospital, Kolkata, West Bengal, India
| | | | - Radhakrishnan Subashini
- Department of Biostatistics, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
| | - Tanvir Kaur
- Non-Communicable Disease Division, Indian Council of Medical Research, New Delhi, India
| | | | - Viswanathan Mohan
- Department of Diabetology, Madras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, Chennai, Tamil Nadu, India
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Besser REJ, Bell KJ, Couper JJ, Ziegler AG, Wherrett DK, Knip M, Speake C, Casteels K, Driscoll KA, Jacobsen L, Craig ME, Haller MJ. ISPAD Clinical Practice Consensus Guidelines 2022: Stages of type 1 diabetes in children and adolescents. Pediatr Diabetes 2022; 23:1175-1187. [PMID: 36177823 DOI: 10.1111/pedi.13410] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 08/29/2022] [Indexed: 12/29/2022] Open
Affiliation(s)
- Rachel E J Besser
- Wellcome Centre for Human Genetics, NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Kirstine J Bell
- Charles Perkins Centre and Faculty Medicine and Health, University of Sydney, Sydney, Australia
| | - Jenny J Couper
- Department of Pediatrics, University of Adelaide, South Australia, Australia.,Robinson Research Institute, University of Adelaide, Adelaide, Australia
| | - Anette-G Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Diane K Wherrett
- Division of Endocrinology, Department of Pediatrics, Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Mikael Knip
- Children's Hospital, University of Helsinki, Helsinki, Finland
| | - Cate Speake
- Center for Interventional Immunology, Benaroya Research Institute at Virginia Mason, Seattle, Washington, USA
| | - Kristina Casteels
- Department of Pediatrics, University Hospitals Leuven, Leuven, Belgium.,Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Kimberly A Driscoll
- Department of Clinical and Health Psychology, University of Florida, Gainesville, Florida, USA
| | - Laura Jacobsen
- Division of Endocrinology, Department of Pediatrics, University of Florida, Gainesville, Florida, USA
| | - Maria E Craig
- Department of Pediatrics, The Children's Hospital at Westmead, University of Sydney, Sydney, Australia
| | - Michael J Haller
- Division of Endocrinology, Department of Pediatrics, University of Florida, Gainesville, Florida, USA
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5
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Biswas SK, Chatterjee S, Laha S, Pakira V, Som NK, Saha S, Chakraborty S. Instrument-free single-step direct estimation of the plasma glucose level from one drop of blood using smartphone-interfaced analytics on a paper strip. LAB ON A CHIP 2022; 22:4666-4679. [PMID: 36345815 DOI: 10.1039/d2lc00824f] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
We demonstrated an instrument-free miniaturized adaptation of the laboratory gold standard methodology for the direct estimation of plasma glucose from a drop of whole blood using a low-cost single-user-step paper-strip sensor interfaced with a smartphone. Unlike a majority of the existing glucose meters that use whole blood-based indirect sensing technologies, our direct adaptation of the gold-standard laboratory benchmark could eliminate the possibilities of cross interference with other analytes present in the whole blood by facilitating an in situ plasma separation, capillary flow and colorimetric reaction occurring concomitantly, without incurring additional device complexity or embodiment. The test reagents were dispensed in lyophilized form, and the resulting paper strips were found to be stable over three months stored in a normal freezer, rendering easy adaptability commensurate with the constrained supply chains in extreme resource-poor settings. Quantitative results could be arrived at via a completely-automated mobile-app-based image analytics interface developed using dynamic machine learning, obviating manual interpretation. The tests were demonstrated to be of high efficacy, even when executed by minimally trained frontline personnel having no special skill of drawing precise volume of blood, on deployment at under-resourced community centres having no in-built or accessible healthcare infrastructure. Clinical validation using 220 numbers of human blood samples in a double-blinded manner evidenced sensitivity and specificity of 98.11% and 96.7%, respectively, as compared to the results obtained from a laboratory-benchmarked biochemistry analyser, establishing its efficacy for public health and community disease management in resource-limited settings without any quality compromise of the test outcome.
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Affiliation(s)
- Sujay K Biswas
- School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India
| | - Subhamoy Chatterjee
- Electronics and Electrical Communication Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India
| | - Sampad Laha
- Department of Mechanical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India
| | - Victor Pakira
- Advanced Technology Development Centre, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India
| | - Nirmal K Som
- B C Roy Technology Hospital, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India
| | - Satadal Saha
- School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India
- B C Roy Institute of Medical Science and Research, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India
- JSV Innovations Pvt. Ltd, Kolkata, 700025, India
| | - Suman Chakraborty
- Department of Mechanical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India
- Advanced Technology Development Centre, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India
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6
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Prevalence and correlates of undiagnosed, diagnosed, and total type 2 diabetes among adults in Morocco, 2017. Sci Rep 2022; 12:16092. [PMID: 36168026 PMCID: PMC9515107 DOI: 10.1038/s41598-022-20368-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 09/12/2022] [Indexed: 11/24/2022] Open
Abstract
The study aimed to estimate the prevalence and associated factors of undiagnosed type 2 diabetes (T2D) among adults in Morocco. Cross-sectional data were analyzed from 4779 people (≥ 18 years, mean age 41.7 years) who participated in the Morocco STEPS nationally representative survey in 2017 and had completed fasting blood glucose measurement. The results indicate that the prevalence of undiagnosed T2D was 5.9% (44.7% of total T2D), diagnosed T2D 7.3% and total T2D 13.2%. In the adjusted multinomial logistic regression analysis, older age (≥ 50 years), receipt of health care advice, and obesity were positively associated with undiagnosed T2D. Older age (≥ 50 years), urban residence, receipt of health care advice, ever cholesterol screening, moderate sedentary behaviour, obesity, hypertension, and elevated total cholesterol were positively associated with diagnosed T2D. In adjusted logistic regression analysis, older age (≥ 50 years), receipt of health care advice and cholesterol screening were negatively associated with undiagnosed T2D versus diagnosed T2D. A significant proportion of adults in Morocco had undiagnosed T2D and several associated factors were identified that can help guide interventions.
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7
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Venkatesan V, Lopez-Alvarenga JC, Arya R, Ramu D, Koshy T, Ravichandran U, Ponnala AR, Sharma SK, Lodha S, Sharma KK, Shaik MV, Resendez RG, Venugopal P, R P, Saju N, Ezeilo JA, Bejar C, Wander GS, Ralhan S, Singh JR, Mehra NK, Vadlamudi RR, Almeida M, Mummidi S, Natesan C, Blangero J, Medicherla KM, Thanikachalam S, Panchatcharam TS, Kandregula DK, Gupta R, Sanghera DK, Duggirala R, Paul SFD. Burden of Type 2 Diabetes and Associated Cardiometabolic Traits and Their Heritability Estimates in Endogamous Ethnic Groups of India: Findings From the INDIGENIUS Consortium. Front Endocrinol (Lausanne) 2022; 13:847692. [PMID: 35498404 PMCID: PMC9048207 DOI: 10.3389/fendo.2022.847692] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 02/21/2022] [Indexed: 01/14/2023] Open
Abstract
To assess the burden of type 2 diabetes (T2D) and its genetic profile in endogamous populations of India given the paucity of data, we aimed to determine the prevalence of T2D and estimate its heritability using family-based cohorts from three distinct Endogamous Ethnic Groups (EEGs) representing Northern (Rajasthan [Agarwals: AG]) and Southern (Tamil Nadu [Chettiars: CH] and Andhra Pradesh [Reddys: RE]) states of India. For comparison, family-based data collected previously from another North Indian Punjabi Sikh (SI) EEG was used. In addition, we examined various T2D-related cardiometabolic traits and determined their heritabilities. These studies were conducted as part of the Indian Diabetes Genetic Studies in collaboration with US (INDIGENIUS) Consortium. The pedigree, demographic, phenotypic, covariate data and samples were collected from the CH, AG, and RE EEGs. The status of T2D was defined by ADA guidelines (fasting glucose ≥ 126 mg/dl or HbA1c ≥ 6.5% and/or use of diabetes medication/history). The prevalence of T2D in CH (N = 517, families = 21, mean age = 47y, mean BMI = 27), AG (N = 530, Families = 25, mean age = 43y, mean BMI = 27), and RE (N = 500, Families = 22, mean age = 46y, mean BMI = 27) was found to be 33%, 37%, and 36%, respectively, Also, the study participants from these EEGs were found to be at increased cardiometabolic risk (e.g., obesity and prediabetes). Similar characteristics for the SI EEG (N = 1,260, Families = 324, Age = 51y, BMI = 27, T2D = 75%) were obtained previously. We used the variance components approach to carry out genetic analyses after adjusting for covariate effects. The heritability (h2) estimates of T2D in the CH, RE, SI, and AG were found to be 30%, 46%, 54%, and 82% respectively, and statistically significant (P ≤ 0.05). Other T2D related traits (e.g., BMI, lipids, blood pressure) in AG, CH, and RE EEGs exhibited strong additive genetic influences (h2 range: 17% [triglycerides/AG and hs-CRP/RE] - 86% [glucose/non-T2D/AG]). Our findings highlight the high burden of T2D in Indian EEGs with significant and differential additive genetic influences on T2D and related traits.
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Affiliation(s)
- Vettriselvi Venkatesan
- Department of Human Genetics, Faculty of Biomedical Sciences and Technology, Sri Ramachandra Institute of Higher Education and Research (Deemed to be University), Chennai, India
| | - Juan Carlos Lopez-Alvarenga
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, United States
| | - Rector Arya
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, United States
| | - Deepika Ramu
- Department of Human Genetics, Faculty of Biomedical Sciences and Technology, Sri Ramachandra Institute of Higher Education and Research (Deemed to be University), Chennai, India
| | - Teena Koshy
- Department of Human Genetics, Faculty of Biomedical Sciences and Technology, Sri Ramachandra Institute of Higher Education and Research (Deemed to be University), Chennai, India
| | - Umarani Ravichandran
- Department of Medicine, Rajah Muthiah Medical College Hospital, Annamalai University, Chidambaram, India
| | - Amaresh Reddy Ponnala
- Department of Endocrinology, Krishna Institute of Medical Sciences (KIMS) Hospital, Nellore, India
| | | | - Sailesh Lodha
- Departments of Preventive Cardiology, Internal Medicine and Endocrinology, Eternal Heart Care Centre and Research Institute, Mount Sinai New York Affiliate, Jaipur, India
| | - Krishna K. Sharma
- Department of Pharmacology, Lal Bahadur Shastri College of Pharmacy, Rajasthan University of Health Sciences, Jaipur, India
| | - Mahaboob Vali Shaik
- Department of Endocrinology, Narayana Medical College and Hospital, Nellore, India
| | - Roy G. Resendez
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, United States
| | - Priyanka Venugopal
- Department of Human Genetics, Faculty of Biomedical Sciences and Technology, Sri Ramachandra Institute of Higher Education and Research (Deemed to be University), Chennai, India
| | - Parthasarathy R
- Department of Human Genetics, Faculty of Biomedical Sciences and Technology, Sri Ramachandra Institute of Higher Education and Research (Deemed to be University), Chennai, India
| | - Noelta Saju
- Department of Human Genetics, Faculty of Biomedical Sciences and Technology, Sri Ramachandra Institute of Higher Education and Research (Deemed to be University), Chennai, India
| | - Juliet A. Ezeilo
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, United States
| | - Cynthia Bejar
- Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Gurpreet S. Wander
- Hero Dayanand Medical College (DMC) Heart Institute, Dayanand Medical College and Hospital, Ludhaina, India
| | - Sarju Ralhan
- Hero Dayanand Medical College (DMC) Heart Institute, Dayanand Medical College and Hospital, Ludhaina, India
| | - Jai Rup Singh
- Honorary or Emeritus Faculty, Central University of Punjab, Bathinda, India
| | - Narinder K. Mehra
- Honorary or Emeritus Faculty, All India Institute of Medical Sciences and Research, New Delhi, India
| | | | - Marcio Almeida
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, United States
| | - Srinivas Mummidi
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, United States
| | - Chidambaram Natesan
- Department of Medicine, Rajah Muthiah Medical College Hospital, Annamalai University, Chidambaram, India
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, United States
| | | | - Sadagopan Thanikachalam
- Department of Cardiology, Sri Ramachandra Medical College and Research Institute, Sri Ramachandra Institute of Higher Education and Research (Deemed to be University), Chennai, India
| | | | | | - Rajeev Gupta
- Departments of Preventive Cardiology, Internal Medicine and Endocrinology, Eternal Heart Care Centre and Research Institute, Mount Sinai New York Affiliate, Jaipur, India
| | - Dharambir K. Sanghera
- Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Physiology, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Ravindranath Duggirala
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, United States
| | - Solomon F. D. Paul
- Department of Human Genetics, Faculty of Biomedical Sciences and Technology, Sri Ramachandra Institute of Higher Education and Research (Deemed to be University), Chennai, India
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Luhar S, Kondal D, Jones R, Anjana RM, Patel SA, Kinra S, Clarke L, Ali MK, Prabhakaran D, Kadir MM, Tandon N, Mohan V, Narayan KMV. Lifetime risk of diabetes in metropolitan cities in India. Diabetologia 2021; 64:521-529. [PMID: 33225415 PMCID: PMC7864818 DOI: 10.1007/s00125-020-05330-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 10/05/2020] [Indexed: 01/08/2023]
Abstract
AIMS/HYPOTHESIS We aimed to estimate the lifetime risk of diabetes and diabetes-free life expectancy in metropolitan cities in India among the population aged 20 years or more, and their variation by sex, age and BMI. METHODS A Markov simulation model was adopted to estimate age-, sex- and BMI-specific lifetime risk of developing diabetes and diabetes-free life expectancy. The main data inputs used were as follows: age-, sex- and BMI-specific incidence rates of diabetes in urban India taken from the Centre for Cardiometabolic Risk Reduction in South Asia (2010-2018); age-, sex- and urban-specific rates of mortality from period lifetables reported by the Government of India (2014); and prevalence of diabetes from the Indian Council for Medical Research INdia DIABetes study (2008-2015). RESULTS Lifetime risk (95% CI) of diabetes in 20-year-old men and women was 55.5 (51.6, 59.7)% and 64.6 (60.0, 69.5)%, respectively. Women generally had a higher lifetime risk across the lifespan. Remaining lifetime risk (95% CI) declined with age to 37.7 (30.1, 46.7)% at age 60 years among women and 27.5 (23.1, 32.4)% in men. Lifetime risk (95% CI) was highest among obese Indians: 86.0 (76.6, 91.5)% among 20-year-old women and 86.9 (75.4, 93.8)% among men. We identified considerably higher diabetes-free life expectancy at lower levels of BMI. CONCLUSIONS/INTERPRETATION Lifetime risk of diabetes in metropolitan cities in India is alarming across the spectrum of weight and rises dramatically with higher BMI. Prevention of diabetes among metropolitan Indians of all ages is an urgent national priority, particularly given the rapid increase in urban obesogenic environments across the country. Graphical abstract.
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Affiliation(s)
- Shammi Luhar
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
- Department of Population Health, London School of Hygiene and Tropical Medicine, London, UK.
| | - Dimple Kondal
- Centre for Chronic Disease Control (CCDC), New Delhi, India
| | - Rebecca Jones
- Nutrition and Health Sciences, Laney Graduate School, Emory University, Atlanta, GA, USA
| | | | - Shivani A Patel
- Hubert Department of Global Health, Emory University, Atlanta, GA, USA
| | - Sanjay Kinra
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Lynda Clarke
- Department of Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Mohammed K Ali
- Hubert Department of Global Health, Emory University, Atlanta, GA, USA
| | - Dorairaj Prabhakaran
- Centre for Chronic Disease Control (CCDC), New Delhi, India
- Public Health Foundation of India, Gurgaon, India
| | - M Masood Kadir
- Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan
| | - Nikhil Tandon
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
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Gyawali B, Sharma R, Mishra SR, Neupane D, Vaidya A, Sandbæk A, Kallestrup P. Effectiveness of a Female Community Health Volunteer-Delivered Intervention in Reducing Blood Glucose Among Adults With Type 2 Diabetes: An Open-Label, Cluster Randomized Clinical Trial. JAMA Netw Open 2021; 4:e2035799. [PMID: 33523189 PMCID: PMC7851734 DOI: 10.1001/jamanetworkopen.2020.35799] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
IMPORTANCE Female community health volunteers (FCHVs) are frontline community health workers who have been a valuable resource in improving public health outcomes in Nepal, but their value is understudied in diabetes care. OBJECTIVE To assess whether an FCHV-delivered intervention is associated with reduced blood glucose levels among adults with type 2 diabetes. DESIGN, SETTING, AND PARTICIPANTS This community-based, open-label, 2-group, cluster randomized clinical trial with a 12-month delayed control group design was conducted in 14 clusters of a semiurban setting in Western Nepal. A total of 244 adults with type 2 diabetes were recruited between November 2016 and April 2017. The follow-up assessment was conducted at 12 months after enrollment. Data analysis was performed from January to February 2019. INTERVENTIONS Seven clusters were randomized to the FCHV-delivered intervention in which 20 FCHVs provided home visits 3 times a year (once every 4 months) for health promotion counseling and blood glucose monitoring. If participants had blood glucose levels of 126 mg/dL or higher, the FCHVs referred them to the nearest health facility, and if participants were taking antihyperglycemic medication, they were followed up by the FCHVs for adherence to their medication. Seven clusters were randomized to usual care (control group). MAIN OUTCOMES AND MEASURES The primary outcome was the change in mean fasting blood glucose from baseline to 12-month follow-up. Secondary outcomes included changes in mean systolic blood pressure, mean diastolic blood pressure, mean body mass index, percentage change in the proportion of low physical activity, harmful alcohol consumption, current smoking, low fruit and vegetable intake, and antihyperglycemic medication status. RESULTS Of 244 participants, 120 women (56.6%) and 92 men (43.4%) completed the trial. At baseline, the mean (SD) age was 51.71 (8.77) years; 127 participants were in the intervention group, and 117 participants were in the control group (usual care). At baseline, the mean (SD) fasting blood glucose level was 156.06 (44.48) mg/dL (158.48 [45.50] mg/dL in the intervention group and 153.43 [43.39] mg/dL in the control group). At 12-month follow-up, the mean fasting blood glucose decreased by 22.86 mg/dL in the intervention group, whereas it increased by 7.38 mg/dL in the control group. The mean reduction was 27.90 mg/dL greater with the intervention (95% CI, -37.62 to -18.18 mg/dL; P < .001). In secondary outcome analyses, there was a greater decline in mean systolic blood pressure in the intervention group than in the control group (-5.40 mm Hg; 95% CI, -8.88 to -1.92 mm Hg; P = .002). There was detectable difference in the intake of antihyperglycemic medication between the groups (relative risk, 1.35; 95% CI, 1.1 to 1.74; P = .02). CONCLUSIONS AND RELEVANCE These findings suggest that an FCHV-delivered intervention is associated with reduced blood glucose levels among adults with type 2 diabetes in a low-resource setting in Nepal. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT03304158.
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Affiliation(s)
- Bishal Gyawali
- Section of Global Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Community Health Development Nepal, Kathmandu, Nepal
| | - Rajan Sharma
- Macquarie University Centre for the Health Economy, Macquarie Park, Sydney, Australia
| | | | - Dinesh Neupane
- Nepal Development Society, Chitwan, Nepal
- Department of Epidemiology, Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Abhinav Vaidya
- Department of Community Medicine, Kathmandu Medical College and Teaching Hospital, Kathmandu, Nepal
| | - Annelli Sandbæk
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Steno Diabetes Centre Aarhus, Aarhus, Denmark
| | - Per Kallestrup
- Department of Public Health, Aarhus University, Aarhus, Denmark
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10
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MATOS LO, FREITAS AB, RABELO CC, PONTES AEF, CORREA FOB. Periodontitis and identification of undiagnosed hyperglycemia. REVISTA DE ODONTOLOGIA DA UNESP 2021. [DOI: 10.1590/1807-2577.03921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Abstract Introduction Individuals with pre-diabetes have altered glycemic levels, are generally asymptomatic, and are at increased risk for developing type 2 diabetes mellitus. Objective Identify the prevalence of periodontal individuals with undiagnosed hyperglycemia and associated impact factors. Material and method Fifty-six patients with periodontitis and without diabetes self-report, users of dental clinic services at Federal University of Juiz de Fora were included in this research, during one year and a half of experimental evaluation. Socioeconomic and demographic data, anthropometric patterns, fasting capillary blood glucose, and complete periodontal examination (six sites per tooth) were evaluated. Result The sample consisted of 58.9% female, mean age 53 years old, 58.9% obese/overweight and 45.3% had a low level of education. A total of 28.6% (n=16) participants had undiagnosed hyperglycemia (between 100 to 160 mm / dL), of which 81.3% were obese/overweight, 25% were smokers, 56.3% reported having a history of diabetes in the family, 93.8% had a family income up to 2 brazilian´s minimum wages. BMI values were higher in the group of patients with hyperglycemia (29.8 ± 5.7, p = 0.03) compared to the group without hyperglycemia (26.6 ± 5.6). Patients with hyperglycemia had a greater number of sites with clinical attachment loss (CAL) between 4 and 6 mm (p = 0.04) when compared with the normoglycemic group. Conclusion Undiagnosed CAL attachment loss between 4 and 6 mm due to periodontitis than normoglycemic individuals.
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11
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García-Claver A, Ramos-Corral R, Laviña-Fañanás C, Solans-Blecua I, Puzo-Foncillas J. Capillary glucose concentration during oral glucose tolerance test for the diagnosis of gestational diabetes. Int J Gynaecol Obstet 2020; 150:234-240. [PMID: 32320486 DOI: 10.1002/ijgo.13178] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 03/07/2020] [Accepted: 04/17/2020] [Indexed: 12/22/2022]
Abstract
OBJECTIVE To assess concordance between two point-of-care testing (POCT) devices and the standard laboratory method in screening for gestational diabetes mellitus (GDM) in Huesca. METHODS Pregnant women who met criteria for an oral glucose tolerance test (OGTT) and attended the laboratory between October 2017 and November 2018 were recruited in this prospective observational study. Glucose was measured in venous (laboratory) and capillary blood (Accu-Chek or Contour Next glucometers). GDM was diagnosed attending to NDDG criteria for venous samples or capillary-specific cut-off. Linear regression, Passing-Bablok, Bland-Altman, and the kappa coefficient were used to study concordance between POCT and laboratory method. RESULTS Data from 109 women were analyzed (57 for Accu-Chek, 52 for Contour Next). Statistical analyses showed good agreement between both POCT and laboratory method. There were no statistical differences in fasting glucose measurements between capillary and venous samples and both POCT devices meet the ISO 15197 standard. Accu-Chek showed good agreement (k=0.629) regarding the laboratory method in classifying GDM, with an acceptable inter-evaluator bias of 3.5% (P<0.001). CONCLUSION POCT can be used to obtain fasting values and reduce overall waiting times for patients. Additionally, Accu-Chek can be used to diagnose GDM in remote areas applying specific cut-off values.
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Affiliation(s)
| | - Raquel Ramos-Corral
- Laboratory Medicine Service, Infanta Sofia Hospital- BR Salud, Madrid, Spain
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12
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Cikomola JC, Kishabongo AS, Speeckaert MM, Delanghe JR. Diabetes mellitus and laboratory medicine in sub-Saharan Africa: challenges and perspectives. Acta Clin Belg 2019; 74:137-142. [PMID: 30029579 DOI: 10.1080/17843286.2018.1498179] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Diabetes mellitus is an increasing public health problem in sub-Saharan Africa with a substantial socioeconomic burden. Although laboratory medicine has been recognized as one of the six key public health functions, there are still gaps in strengthening of laboratory services in developing countries. In the last decades, a lot of progress has been made in the diagnostic field of infectious diseases, whereas the diagnosis of noncommunicable diseases is still insufficient and uneven. This article analyses the challenges encountered in diagnosing and monitoring of diabetes mellitus in sub-Saharan Africa and explores new alternative diagnostic tools.
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Affiliation(s)
- Justin C. Cikomola
- Department of Internal Medicine, Catholic University of Bukavu, Bukavu, Democratic Republic of the Congo
- Department of Clinical Chemistry, Ghent University Hospital, Ghent, Belgium
| | - Antoine S. Kishabongo
- Department of Laboratory Medicine, Catholic University of Bukavu, Bukavu, Democratic Republic of the Congo
| | | | - Joris R. Delanghe
- Department of Clinical Chemistry, Ghent University Hospital, Ghent, Belgium
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13
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Oruganti A, Kavi A, Walvekar PR. Risk of developing Diabetes Mellitus among urban poor South Indian population using Indian Diabetes Risk Score. J Family Med Prim Care 2019; 8:487-492. [PMID: 30984660 PMCID: PMC6436280 DOI: 10.4103/jfmpc.jfmpc_388_18] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Background: Diabetes mellitus is increasing its share of burden to the health-related problems in developing countries such as India. Urban slum residents constitute the “vulnerable population” who lack the basic health amenities. Lack of effective screening for primary prevention has been one of the reasons for the rising burden. Materials and Methods: The cross-sectional study was conducted among 400 adults aged between 30 and 60 years residing in a settled slum of Rukmini Nagar area of Belagavi city, Karnataka. Data were collected after taking written informed consent from each participant using a pretested questionnaire that included demographic information and details of the risk factors. Risk of developing diabetes was assessed by using Indian Diabetes Risk Score. Results are expressed as proportions, and analysis was done using Chi-square test and multiple logistic regression analysis. Results: The mean age of participants was 44.3 ± 8.7 years. The proportion of low, moderate, and high risk of developing diabetes mellitus was 7%, 63%, and 30%, respectively. The prevalence of newly diagnosed cases was 10.25%. Moreover, 57.1% of them with positive family history were in the high risk category; 76.9% of the sedentary workers were at higher risk; overweight and obese individuals had higher proportion of the high and moderate risk (P < 0.0001). Correlation coefficient (R) was 0.782, and coefficient of determination (R2) was 0.61. Conclusions: Our study demonstrated that advancing age, low physical activity, family history, overweight, and obesity were the prominent factors that predicted the risk of diabetes in the near future. Hence, focused interventions for urban slum dwellers are imperative and draw special attention.
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Affiliation(s)
- Aditya Oruganti
- Department of Community Medicine, Jawaharlal Nehru Medical College, KLE Academy of Higher Education and Research, Nehru Nagar, Belagavi, Karnataka, India
| | - Avinash Kavi
- Department of Community Medicine, Jawaharlal Nehru Medical College, KLE Academy of Higher Education and Research, Nehru Nagar, Belagavi, Karnataka, India
| | - Padmaja R Walvekar
- Department of Community Medicine, Jawaharlal Nehru Medical College, KLE Academy of Higher Education and Research, Nehru Nagar, Belagavi, Karnataka, India
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14
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Ventura IJ, Zadran A, Ho AVD, Zadran L, Thuan DTB, Pham TT, Kost GJ. Rapid Diagnosis and Effective Monitoring of Diabetes Mellitus in Central Vietnam. POINT OF CARE 2019. [DOI: 10.1097/poc.0000000000000178] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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15
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Fottrell E, Ahmed N, Shaha SK, Jennings H, Kuddus A, Morrison J, Akter K, Nahar B, Nahar T, Haghparast-Bidgoli H, Khan AKA, Costello A, Azad K. Distribution of diabetes, hypertension and non-communicable disease risk factors among adults in rural Bangladesh: a cross-sectional survey. BMJ Glob Health 2018; 3:e000787. [PMID: 30498584 PMCID: PMC6242007 DOI: 10.1136/bmjgh-2018-000787] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Revised: 09/14/2018] [Accepted: 09/24/2018] [Indexed: 12/27/2022] Open
Abstract
Background Non-communicable diseases (NCDs) are increasing in low-income settings. We conducted a survey of risk factors, blood pressure and blood glucose in rural Bangladesh and assessed variations by age, sex and wealth. Methods We surveyed a random sample of 12 280 adults aged >30 years in 96 villages in rural Bangladesh. Fieldworkers measured blood glucose and conducted an glucose tolerance test with a repeat blood test 120 min post glucose ingestion. Blood pressure, anthropometric, socioeconomic, lifestyle and behavioural risk factors data were also collected. Data were analysed to describe the prevalence of diabetes, intermediate hyperglycaemia, hypertension and NCD risk factors by age, sex and wealth. Results Women had higher levels of overweight or obesity and lower levels of physical activity and fruit and vegetable consumption than men; 63% of men used tobacco compared with 41.3% of women. Overweight or obesity and abdominal obesity (waist to hip ratio) increased with socioeconomic status (least poor vs most poor: OR (95% CI) 3.21 (2.51 to 4.11) for men and 2.83 (2.28 to 3.52) for women). Tobacco use, passive smoke exposure and salt consumption fell with increasing socioeconomic status in both sexes. Clustering of risk factors showed more than 70% of men and women reported at least three risk factors. Women in the least poor group were 33% more likely to have three or more risk factors compared with women in the most poor group (1.33 (95% CI 1.17 to 1.58)). The combined prevalence of impaired fasting glucose, impaired glucose tolerance and diabetes was 26.1% among men and 34.9% among women, and increased with age. The prevalence of prehypertension and hypertension was 30.7% and 15.9% among men and 27.2% and 22.5% among women, with similar rising prevalence with age. Conclusion NCD risk factors, hyperglycaemia and raised blood pressure are an immediate health threat in rural Bangladesh. Initiatives to improve detection, treatment and prevention strategies are needed.
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Affiliation(s)
- Edward Fottrell
- Institute for Global Health, University College London, London, UK
| | - Naveed Ahmed
- Diabetic Association of Bangladesh, Dhaka, Bangladesh
| | | | - Hannah Jennings
- Institute for Global Health, University College London, London, UK
| | - Abdul Kuddus
- Diabetic Association of Bangladesh, Dhaka, Bangladesh
| | - Joanna Morrison
- Institute for Global Health, University College London, London, UK
| | | | - Badrun Nahar
- Diabetic Association of Bangladesh, Dhaka, Bangladesh
| | - Tasmin Nahar
- Diabetic Association of Bangladesh, Dhaka, Bangladesh
| | | | - A K Azad Khan
- Diabetic Association of Bangladesh, Dhaka, Bangladesh
| | - Anthony Costello
- Institute for Global Health, University College London, London, UK.,Maternal, Newborn, Child and Adolescent Health, World Health Organisation, Geneva, Switzerland
| | - Kishwar Azad
- Diabetic Association of Bangladesh, Dhaka, Bangladesh
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16
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Tripathy JP, Thakur JS, Jeet G, Jain S. Structural equation modeling to identify the risk factors of diabetes in the adult population of North India. Trop Med Health 2018; 46:23. [PMID: 29983621 PMCID: PMC6019304 DOI: 10.1186/s41182-018-0104-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Accepted: 06/13/2018] [Indexed: 01/24/2023] Open
Abstract
Background A non-communicable disease risk factor survey (based on World Health Organization STEP approach to Surveillance, i.e., WHO-STEPS) was done in the state of Punjab, India in a multistage stratified sample of 5127 individuals. The study subjects were administered the WHO STEPS questionnaire and also underwent anthropometric and biochemical measurements. This study aimed at exploring the risk factors of diabetes using a Structural Equation Modeling (SEM) approach in the North Indian state of Punjab. Results Overall prevalence of diabetes mellitus among the study participants was found out to be 8.3% (95% CI 7.3-9.4%). The final SEM had excellent fit considering the model parameters. The following risk factors deemed to have a direct statistically significant effect on blood sugar status: family history of diabetes (4.5), urban residence (3.1), triglycerides (0.46), increasing waist circumference (0.18), systolic blood pressure (0.11), and increasing age (0.05). There are specific indirect effects of alcohol use (1.43, p = 0.001), family h/o diabetes (0.844, p = 0.001), age (0.156, p < 0.001), waist circumference (0.028, p = < 0.001) and weekly fruit intake (- 0.009, p = 0.034) on fasting blood glucose. Indirect effects of waist circumference, alcohol intake and age on blood sugar levels are mediated by raised blood pressure. Waist circumference mediates the indirect effects of age, family h/o of diabetes, alcohol intake and weekly fruit intake on blood sugar levels. Triglycerides also mediated the indirect effects between age and diabetes. Conclusions Family history of diabetes, urban residence, alcohol use, increasing age, and waist circumference are the key variables affecting diabetes status in the Indian population. The results of this study further strengthens the evidence that lifestyle changes in the form of physical activity and healthy diet are required to prevent and control diabetes. Those with family h/o diabetes constitute a high risk group and should be targeted with regular screening and lifestyle intervention package.
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Affiliation(s)
- Jaya Prasad Tripathy
- 1International Union Against Tuberculosis and Lung Disease, The Union South East Asia Office, New Delhi, India.,2International Union Against Tuberculosis and Lung Disease, Paris, France
| | - J S Thakur
- 3Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Gursimer Jeet
- 3Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Sanjay Jain
- 3Post Graduate Institute of Medical Education and Research, Chandigarh, India
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17
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Geldsetzer P, Manne-Goehler J, Theilmann M, Davies JI, Awasthi A, Danaei G, Gaziano TA, Vollmer S, Jaacks LM, Bärnighausen T, Atun R. Geographic and sociodemographic variation of cardiovascular disease risk in India: A cross-sectional study of 797,540 adults. PLoS Med 2018; 15:e1002581. [PMID: 29920517 PMCID: PMC6007838 DOI: 10.1371/journal.pmed.1002581] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Accepted: 05/09/2018] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Cardiovascular disease (CVD) is the leading cause of mortality in India. Yet, evidence on the CVD risk of India's population is limited. To inform health system planning and effective targeting of interventions, this study aimed to determine how CVD risk-and the factors that determine risk-varies among states in India, by rural-urban location, and by individual-level sociodemographic characteristics. METHODS AND FINDINGS We used 2 large household surveys carried out between 2012 and 2014, which included a sample of 797,540 adults aged 30 to 74 years across India. The main outcome variable was the predicted 10-year risk of a CVD event as calculated with the Framingham risk score. The Harvard-NHANES, Globorisk, and WHO-ISH scores were used in secondary analyses. CVD risk and the prevalence of CVD risk factors were examined by state, rural-urban residence, age, sex, household wealth, and education. Mean CVD risk varied from 13.2% (95% CI: 12.7%-13.6%) in Jharkhand to 19.5% (95% CI: 19.1%-19.9%) in Kerala. CVD risk tended to be highest in North, Northeast, and South India. District-level wealth quintile (based on median household wealth in a district) and urbanization were both positively associated with CVD risk. Similarly, household wealth quintile and living in an urban area were positively associated with CVD risk among both sexes, but the associations were stronger among women than men. Smoking was more prevalent in poorer household wealth quintiles and in rural areas, whereas body mass index, high blood glucose, and systolic blood pressure were positively associated with household wealth and urban location. Men had a substantially higher (age-standardized) smoking prevalence (26.2% [95% CI: 25.7%-26.7%] versus 1.8% [95% CI: 1.7%-1.9%]) and mean systolic blood pressure (126.9 mm Hg [95% CI: 126.7-127.1] versus 124.3 mm Hg [95% CI: 124.1-124.5]) than women. Important limitations of this analysis are the high proportion of missing values (27.1%) in the main outcome variable, assessment of diabetes through a 1-time capillary blood glucose measurement, and the inability to exclude participants with a current or previous CVD event. CONCLUSIONS This study identified substantial variation in CVD risk among states and sociodemographic groups in India-findings that can facilitate effective targeting of CVD programs to those most at risk and most in need. While the CVD risk scores used have not been validated in South Asian populations, the patterns of variation in CVD risk among the Indian population were similar across all 4 risk scoring systems.
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Affiliation(s)
- Pascal Geldsetzer
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America
| | - Jennifer Manne-Goehler
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America.,Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Michaela Theilmann
- Department of Economics, University of Goettingen, Göttingen, Germany.,Centre for Modern Indian Studies, University of Goettingen, Göttingen, Germany
| | - Justine I Davies
- MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.,Centre for Global Health, King's College London, London, United Kingdom
| | - Ashish Awasthi
- Indian Institute of Public Health, Gandhinagar, Gujarat, India.,Public Health Foundation of India, Delhi, National Capital Region, India
| | - Goodarz Danaei
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America
| | - Thomas A Gaziano
- Department of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.,Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Sebastian Vollmer
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America.,Department of Economics, University of Goettingen, Göttingen, Germany.,Centre for Modern Indian Studies, University of Goettingen, Göttingen, Germany
| | - Lindsay M Jaacks
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America.,Public Health Foundation of India, Delhi, National Capital Region, India
| | - Till Bärnighausen
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America.,Institute of Public Health, Heidelberg University, Heidelberg, Germany.,Africa Health Research Institute, Mtubatuba, South Africa
| | - Rifat Atun
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America.,Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, Massachusetts, United States of America
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Macaulay S, Ngobeni M, Dunger DB, Norris SA. The prevalence of gestational diabetes mellitus amongst black South African women is a public health concern. Diabetes Res Clin Pract 2018. [PMID: 29526682 DOI: 10.1016/j.diabres.2018.03.012] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
AIMS This study aimed to determine the prevalence of gestational diabetes mellitus (GDM) amongst black South African women, describe GDM-associated risk factors and clinical management, and evaluate the efficacy of the fasting plasma glucose reading in diagnosing GDM. METHODS A cross-sectional screening study was performed. Pregnant women were recruited from the Chris Hani Baragwanath Academic Hospital in Johannesburg. A total of 1906 women underwent a two-hour 75 g oral glucose tolerance test at 24-28 weeks gestation. The World Health Organization's 2013 criteria were used to diagnose GDM. RESULTS A total of 174/1906 (9.1% (95% confidence interval (CI) 7.9, 10.5)) women were diagnosed with GDM. These women had significantly higher weights and body mass indexes (BMIs), were significantly older, of higher household socioeconomic status, more likely to report a family history of diabetes, and more likely to be diagnosed with anaemia than women without GDM. An age of ≥35 years, BMI ≥ 30 kg/m2, and a family history of diabetes were significant risk factors. The fasting plasma glucose reading had a high sensitivity (83.3% (95% CI 77.0, 88.5)) in diagnosing GDM and 56.9% of the women with GDM were managed by diet therapy alone. CONCLUSION This is the largest GDM prevalence study in South Africa to date. A diagnosis of GDM increases the risk of both mother and child developing Type 2 diabetes which causes further health complications, decreases longevity, and burdens a country's healthcare system. Therefore, a GDM prevalence of 9.1% is concerning and warrants further discussion around current GDM screening policies.
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Affiliation(s)
- Shelley Macaulay
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Private Bag 3, Wits, 2050 Johannesburg, South Africa; Division of Human Genetics, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand and the National Health Laboratory Service, P.O. Box 1038, Johannesburg 2000, South Africa.
| | - Martha Ngobeni
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Private Bag 3, Wits, 2050 Johannesburg, South Africa.
| | - David B Dunger
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Private Bag 3, Wits, 2050 Johannesburg, South Africa; Department of Paediatrics, University of Cambridge, Box 116, Level 8, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom; Wellcome Trust-MRC Institute of Metabolic Science, Box 289, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom.
| | - Shane A Norris
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Private Bag 3, Wits, 2050 Johannesburg, South Africa.
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19
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Geldsetzer P, Manne-Goehler J, Theilmann M, Davies JI, Awasthi A, Vollmer S, Jaacks LM, Bärnighausen T, Atun R. Diabetes and Hypertension in India: A Nationally Representative Study of 1.3 Million Adults. JAMA Intern Med 2018; 178:363-372. [PMID: 29379964 PMCID: PMC5885928 DOI: 10.1001/jamainternmed.2017.8094] [Citation(s) in RCA: 207] [Impact Index Per Article: 34.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
IMPORTANCE Understanding how diabetes and hypertension prevalence varies within a country as large as India is essential for targeting of prevention, screening, and treatment services. However, to our knowledge there has been no prior nationally representative study of these conditions to guide the design of effective policies. OBJECTIVE To determine the prevalence of diabetes and hypertension in India, and its variation by state, rural vs urban location, and individual-level sociodemographic characteristics. DESIGN, SETTING, AND PARTICIPANTS This was a cross-sectional, nationally representative, population-based study carried out between 2012 and 2014. A total of 1 320 555 adults 18 years or older with plasma glucose (PG) and blood pressure (BP) measurements were included in the analysis. EXPOSURES State, rural vs urban location, age, sex, household wealth quintile, education, and marital status. MAIN OUTCOMES AND MEASURES Diabetes (PG level ≥126 mg/dL if the participant had fasted or ≥200 mg/dL if the participant had not fasted) and hypertension (systolic BP≥140 mm Hg or diastolic BP≥90 mm Hg). RESULTS Of the 1 320 555 adults, 701 408 (53.1%) were women. The crude prevalence of diabetes and hypertension was 7.5% (95% CI, 7.3%-7.7%) and 25.3% (95% CI, 25.0%-25.6%), respectively. Notably, hypertension was common even among younger age groups (eg, 18-25 years: 12.1%; 95% CI, 11.8%-12.5%). Being in the richest household wealth quintile compared with being in the poorest quintile was associated with only a modestly higher probability of diabetes (rural: 2.81 percentage points; 95% CI, 2.53-3.08 and urban: 3.47 percentage points; 95% CI, 3.03-3.91) and hypertension (rural: 4.15 percentage points; 95% CI, 3.68-4.61 and urban: 3.01 percentage points; 95% CI, 2.38-3.65). The differences in the probability of both conditions by educational category were generally small (≤2 percentage points). Among states, the crude prevalence of diabetes and hypertension varied from 3.2% (95% CI, 2.7%-3.7%) to 19.9% (95% CI, 17.6%-22.3%), and 18.0% (95% CI, 16.6%-19.5%) to 41.6% (95% CI, 37.8%-45.5%), respectively. CONCLUSIONS AND RELEVANCE Diabetes and hypertension prevalence is high in middle and old age across all geographical areas and sociodemographic groups in India, and hypertension prevalence among young adults is higher than previously thought. Evidence on the variations in prevalence by state, age group, and rural vs urban location is critical to effectively target diabetes and hypertension prevention, screening, and treatment programs to those most in need.
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Affiliation(s)
- Pascal Geldsetzer
- Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Jennifer Manne-Goehler
- Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.,Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Michaela Theilmann
- Department of Economics & Centre for Modern Indian Studies, University of Goettingen, Göttingen, Germany
| | - Justine I Davies
- MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Education Campus, University of Witwatersrand, Johannesburg, South Africa.,Centre for Global Health, King's College London, London, England
| | | | - Sebastian Vollmer
- Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.,Department of Economics & Centre for Modern Indian Studies, University of Goettingen, Göttingen, Germany
| | - Lindsay M Jaacks
- Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.,Public Health Foundation of India, Delhi NCR, India
| | - Till Bärnighausen
- Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.,Institute of Public Health, Heidelberg University, Heidelberg, Germany.,Africa Health Research Institute, Mtubatuba, South Africa
| | - Rifat Atun
- Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
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20
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Stojisavljević D, Janković J, Erić M, Marinković J, Janković S. Cardiovascular Health Status and Metabolic Syndrome in Adults Living in a Transition European Country: Findings from a Population-Based Study. J Stroke Cerebrovasc Dis 2017; 27:568-574. [PMID: 29097061 DOI: 10.1016/j.jstrokecerebrovasdis.2017.09.046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2017] [Accepted: 09/24/2017] [Indexed: 10/18/2022] Open
Abstract
BACKGROUND AND PURPOSE There are only a few published studies on the relationship between cardiovascular health (CVH) status as proposed by the American Heart Association and the metabolic syndrome (MetS) in persons with cardiovascular disease (CVD). The aim of this study was to assess the prevalence of CVH and MetS and their correlation in the adult population of the Republic of Srpska, Bosnia and Herzegovina, in order to evaluate which set of cardiovascular risk factors (low or medium CVH status and MetS), or the combination of both, is a better predictor for the occurrence of CVD. METHODS We included 3601 adults (aged ≥25 years) from the Republic of Srpska National Health Survey 2010. CVH status was evaluated according to the American Heart Association criteria, whereas MetS was defined using the criteria of the National Cholesterol Education Program's Adult Treatment Panel III. RESULTS The prevalence of low or medium CVH status and MetS is significantly higher in participants who had experienced CVD than in those free of CVD. Our study showed that predictors for CVD occurrence were presence of MetS (odds ratio 3.61, 95% confidence intervals 2.14-6.07) and presence of both sets of cardiovascular risk factors in the same person (odds ratio 4.23, 95% confidence intervals 1.50-11.93). CONCLUSION Our results suggest that presence of both sets of cardiovascular risk factors (low or medium CVH status and MetS) is the strongest predictor of CVD. Identification of individuals with cardiovascular risk factors may provide opportunities to intervene earlier and can help reduce the risk of developing CVD.
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Affiliation(s)
- Dragana Stojisavljević
- Institute of Public Health, Banja Luka, Republic of Srpska, Bosnia and Herzegovina; Medical Faculty, University of Banja Luka, Banja Luka, Republic of Srpska, Bosnia and Herzegovina
| | - Janko Janković
- Institute of Social Medicine, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Miloš Erić
- Faculty of Economics, Finance and Administration, Metropolitan University, Belgrade, Serbia
| | - Jelena Marinković
- Institute of Medical Statistics and Informatics, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Slavenka Janković
- Institute of Epidemiology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
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21
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Anjana RM, Deepa M, Pradeepa R, Mahanta J, Narain K, Das HK, Adhikari P, Rao PV, Saboo B, Kumar A, Bhansali A, John M, Luaia R, Reang T, Ningombam S, Jampa L, Budnah RO, Elangovan N, Subashini R, Venkatesan U, Unnikrishnan R, Das AK, Madhu SV, Ali MK, Pandey A, Dhaliwal RS, Kaur T, Swaminathan S, Mohan V. Prevalence of diabetes and prediabetes in 15 states of India: results from the ICMR-INDIAB population-based cross-sectional study. Lancet Diabetes Endocrinol 2017; 5:585-596. [PMID: 28601585 DOI: 10.1016/s2213-8587(17)30174-2] [Citation(s) in RCA: 442] [Impact Index Per Article: 63.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Revised: 04/10/2017] [Accepted: 04/12/2017] [Indexed: 12/13/2022]
Abstract
BACKGROUND Previous studies have not adequately captured the heterogeneous nature of the diabetes epidemic in India. The aim of the ongoing national Indian Council of Medical Research-INdia DIABetes study is to estimate the national prevalence of diabetes and prediabetes in India by estimating the prevalence by state. METHODS We used a stratified multistage design to obtain a community-based sample of 57 117 individuals aged 20 years or older. The sample population represented 14 of India's 28 states (eight from the mainland and six from the northeast of the country) and one union territory. States were sampled in a phased manner: phase I included Tamil Nadu, Chandigarh, Jharkhand, and Maharashtra, sampled between Nov 17, 2008, and April 16, 2010; phase II included Andhra Pradesh, Bihar, Gujarat, Karnataka, and Punjab, sampled between Sept 24, 2012, and July 26, 2013; and the northeastern phase included Assam, Mizoram, Arunachal Pradesh, Tripura, Manipur, and Meghalaya, with sampling done between Jan 5, 2012, and July 3, 2015. Capillary oral glucose tolerance tests were used to diagnose diabetes and prediabetes in accordance with WHO criteria. Our methods did not allow us to differentiate between type 1 and type 2 diabetes. The prevalence of diabetes in different states was assessed in relation to socioeconomic status (SES) of individuals and the per-capita gross domestic product (GDP) of each state. We used multiple logistic regression analysis to examine the association of various factors with the prevalence of diabetes and prediabetes. FINDINGS The overall prevalence of diabetes in all 15 states of India was 7·3% (95% CI 7·0-7·5). The prevalence of diabetes varied from 4·3% in Bihar (95% CI 3·7-5·0) to 10·0% (8·7-11·2) in Punjab and was higher in urban areas (11·2%, 10·6-11·8) than in rural areas (5·2%, 4·9-5·4; p<0·0001) and higher in mainland states (8·3%, 7·9-8·7) than in the northeast (5·9%, 5·5-6·2; p<0·0001). Overall, 1862 (47·3%) of 3938 individuals identified as having diabetes had not been diagnosed previously. States with higher per-capita GDP seemed to have a higher prevalence of diabetes (eg, Chandigarh, which had the highest GDP of US$ 3433, had the highest prevalence of 13·6%, 12.8-15·2). In rural areas of all states, diabetes was more prevalent in individuals of higher SES. However, in urban areas of some of the more affluent states (Chandigarh, Maharashtra, and Tamil Nadu), diabetes prevalence was higher in people with lower SES. The overall prevalence of prediabetes in all 15 states was 10·3% (10·0-10·6). The prevalence of prediabetes varied from 6·0% (5·1-6·8) in Mizoram to 14·7% (13·6-15·9) in Tripura, and the prevalence of impaired fasting glucose was generally higher than the prevalence of impaired glucose tolerance. Age, male sex, obesity, hypertension, and family history of diabetes were independent risk factors for diabetes in both urban and rural areas. INTERPRETATION There are large differences in diabetes prevalence between states in India. Our results show evidence of an epidemiological transition, with a higher prevalence of diabetes in low SES groups in the urban areas of the more economically developed states. The spread of diabetes to economically disadvantaged sections of society is a matter of great concern, warranting urgent preventive measures. FUNDING Indian Council of Medical Research and Department of Health Research, Ministry of Health and Family Welfare, Government of India.
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Affiliation(s)
- Ranjit Mohan Anjana
- Dr Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non Communicable Diseases Prevention and Control, Madras Diabetes Research Foundation, ICMR Centre for Advanced Research on Diabetes, Chennai, India
| | - Mohan Deepa
- Dr Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non Communicable Diseases Prevention and Control, Madras Diabetes Research Foundation, ICMR Centre for Advanced Research on Diabetes, Chennai, India
| | - Rajendra Pradeepa
- Dr Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non Communicable Diseases Prevention and Control, Madras Diabetes Research Foundation, ICMR Centre for Advanced Research on Diabetes, Chennai, India
| | | | | | | | | | | | - Banshi Saboo
- Dia Care-Diabetes Care and Hormone Clinic, Ahmedabad, India
| | - Ajay Kumar
- Diabetes Care and Research Centre, Patna, India
| | - Anil Bhansali
- Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Mary John
- Christian Medical College, Ludhiana, India
| | | | - Taranga Reang
- Agartala Government Medical College, Agartala, India
| | | | | | | | - Nirmal Elangovan
- Dr Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non Communicable Diseases Prevention and Control, Madras Diabetes Research Foundation, ICMR Centre for Advanced Research on Diabetes, Chennai, India
| | - Radhakrishnan Subashini
- Dr Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non Communicable Diseases Prevention and Control, Madras Diabetes Research Foundation, ICMR Centre for Advanced Research on Diabetes, Chennai, India
| | - Ulagamathesan Venkatesan
- Dr Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non Communicable Diseases Prevention and Control, Madras Diabetes Research Foundation, ICMR Centre for Advanced Research on Diabetes, Chennai, India
| | - Ranjit Unnikrishnan
- Dr Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non Communicable Diseases Prevention and Control, Madras Diabetes Research Foundation, ICMR Centre for Advanced Research on Diabetes, Chennai, India
| | - Ashok Kumar Das
- Pondicherry Institute of Medical Sciences, Puducherry, India
| | - Sri Venkata Madhu
- University College of Medical Sciences and GTB Hospital, New Delhi, India
| | - Mohammed K Ali
- Dr Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non Communicable Diseases Prevention and Control, Madras Diabetes Research Foundation, ICMR Centre for Advanced Research on Diabetes, Chennai, India
| | - Arvind Pandey
- National Institute of Medical Statistics, New Delhi, India
| | | | - Tanvir Kaur
- Indian Council of Medical Research, New Delhi, India
| | | | - Viswanathan Mohan
- Dr Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non Communicable Diseases Prevention and Control, Madras Diabetes Research Foundation, ICMR Centre for Advanced Research on Diabetes, Chennai, India.
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22
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Phatak AG, Nimbalkar SM. Method Comparison (Agreement) Studies: Myths and Rationale. J Clin Diagn Res 2017; 11:JI01-JI03. [PMID: 28273982 DOI: 10.7860/jcdr/2017/23897.9314] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2016] [Accepted: 11/16/2016] [Indexed: 11/24/2022]
Abstract
Unprecedented technological growth in the last quarter of twentieth century has resulted in improved health care and opened new domains of health care research. This technological leap also facilitated the paradigm shift from hospital care to home care through development of 'point of care' devices. As early diagnoses and timely referral is a key to health management, these devices play an important role in improving health. Validation of the new technology in different settings is necessary before adopting it to practice. For a binary result like pregnancy test, it is trivial to use statistical tools like sensitivity, specificity etc. For a continuous variable like blood glucose level the analysis is not straightforward. Many of us misinterpret 'association' as 'agreement'. This misinterpretation is reflected in studies which have compared two different technologies. The findings of well conducted studies do not contribute to the evidence base just because of wrong analysis strategy. We delineate on finer nuances of analysis and interpretation of method comparison studies.
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Affiliation(s)
- Ajay G Phatak
- Manager, Central Research Services, Charutar Arogya Mandal , Karamsad , Anand, Gujarat, India
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23
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Swaminathan K, Veerasekar G, Kuppusamy S, Sundaresan M, Velmurugan G, Palaniswami NG. Noncommunicable disease in rural India: Are we seriously underestimating the risk? The Nallampatti noncommunicable disease study. Indian J Endocrinol Metab 2017; 21:90-95. [PMID: 28217505 PMCID: PMC5240088 DOI: 10.4103/2230-8210.196001] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
AIM To assess the prevalence of noncommunicable diseases in a true rural farming population in South India and compare the data with the landmark contemporary Indian Council of Medical Research-India Diabetes (ICMR-INDIAB) study. METHODS Local Ethics Committee approval and informed consent was obtained from all participants. Inclusion criteria were participants, aged ≥20 and ≤85 years, from Nallampatti, a classical farming village from Tamil Nadu state, India. All participants were administered a detailed questionnaire, had anthropometric measurements including height, weight, and waist circumference. Bloods were drawn for random blood glucose, glycated hemoglobin (HbA1c), nonfasting lipid profile, Cystatin C, uric acid, and hemoglobin. All participants had carotid intima-media thickness (CIMT) done by high-resolution B-mode carotid ultrasound. RESULTS More than 50% of the population had either diabetes or prediabetes based on HbA1c. Nearly, 40% of the population had hypertension with suboptimal control in those with known hypertension. Nearly, a third of the population had dyslipidemia, elevated cystatin C levels, and abnormal CIMT. The burden was higher than the comparable ICMR-INDIAB study in rural Tamil Nadu. CONCLUSION One-third to one-half of this rural farming population is at risk of cardiovascular disease, with poor control of preexisting cardiovascular risk factors. Current Indian data may underestimate the risk in different ethnic populations and regions of India. Long-term follow-up of this cohort for the incident cardiovascular disease will shed light on the true cardiovascular risk in a typical South Indian rural farming population.
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Affiliation(s)
- Krishnan Swaminathan
- Kovai Medical Center and Hospital, Coimbatore, Tamil Nadu, India
- KMCH Research Foundation, Coimbatore, Tamil Nadu, India
| | - Ganesh Veerasekar
- Kovai Medical Center and Hospital, Coimbatore, Tamil Nadu, India
- KMCH Research Foundation, Coimbatore, Tamil Nadu, India
| | - Sujatha Kuppusamy
- Social and Preventive Medicine, Coimbatore Medical College, Coimbatore, Tamil Nadu, India
| | | | - Ganesan Velmurugan
- Department of Chemistry, DST Unit of Nanoscience, IIT Madras, Chennai, Tamil Nadu, India
| | - Nalla G. Palaniswami
- Kovai Medical Center and Hospital, Coimbatore, Tamil Nadu, India
- KMCH Research Foundation, Coimbatore, Tamil Nadu, India
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24
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Park HI, Lee SS, Son JW, Kwon HS, Kim SR, Chae H, Kim M, Kim Y, Yoo S. Analytical Performance Evaluation of Infopia Element™ Auto-coding Blood Glucose Monitoring System for Self-Monitoring of Blood Glucose. J Clin Lab Anal 2016; 30:849-858. [PMID: 27074748 DOI: 10.1002/jcla.21947] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Revised: 11/26/2015] [Accepted: 01/11/2016] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Element™ Auto-coding Blood Glucose Monitoring System (BGMS; Infopia Co., Ltd., Anyang-si, Korea) was developed for self-monitoring of blood glucose (SMBG). METHODS Precision, linearity, and interference were tested. Eighty-four capillary blood samples measured by Element™ BGMS were compared with central laboratory method (CLM) results in venous serum. Accuracy was evaluated using ISO 15197:2013 criteria. RESULTS Coefficients of variation (CVs; mean) were 2.4% (44.2 mg/dl), 3.7% (100.6 mg/dl), and 2.1% (259.8 mg/dl). Linearity was shown at concentrations 39.25-456.25 mg/l (y = 0.989 + 0.984x, SE = 17.63). Up to 15 mg/dl of galactose, ascorbic acid, and acetaminophen, interference > 10.4% was not observed. Element™ BGMS glucose was higher than CLM levels by 3.2 mg/dl (at 200 mg/dl) to 8.2 mg/dl (at 100 mg/dl). The minimum specification for bias (3.3%) was met at 140 and 200 mg/l glucose. In the Clarke and consensus error grids, 100% of specimens were within zone A and B. For Element™ BGMS values, 92.9% (78/84) to 94.0% (79/84) were within a 15 mg/dl (< 100 mg/dl) or 15% (> 100 mg/dl) of the average CLM value. CONCLUSION Element™ BGMS was considered an appropriate SMBG for home use; however, the positive bias at low-to-mid glucose levels requires further improvement.
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Affiliation(s)
- Hae-Il Park
- Department of Laboratory Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Bucheon-si Gyeonggi-do, Republic of Korea.,Catholic Laboratory Development and Evaluation Center, Clinical Research Coordinating Center, Catholic Medical Center, Seoul, Republic of Korea
| | - Seong-Su Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Bucheon-si Gyeonggi-do, Republic of Korea
| | - Jang-Won Son
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Bucheon-si Gyeonggi-do, Republic of Korea
| | - Hee-Sun Kwon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Bucheon-si Gyeonggi-do, Republic of Korea
| | - Sung Rae Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Bucheon-si Gyeonggi-do, Republic of Korea
| | - Hyojin Chae
- Department of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.,Catholic Laboratory Development and Evaluation Center, Clinical Research Coordinating Center, Catholic Medical Center, Seoul, Republic of Korea
| | - Myungshin Kim
- Department of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.,Catholic Laboratory Development and Evaluation Center, Clinical Research Coordinating Center, Catholic Medical Center, Seoul, Republic of Korea
| | - Yonggoo Kim
- Department of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.,Catholic Laboratory Development and Evaluation Center, Clinical Research Coordinating Center, Catholic Medical Center, Seoul, Republic of Korea
| | - Soonjib Yoo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Bucheon-si Gyeonggi-do, Republic of Korea.
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25
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Kingery JR, Alfred Y, Smart LR, Nash E, Todd J, Naguib MR, Downs JA, Kalluvya S, Kataraihya JB, Peck RN. Short-term and long-term cardiovascular risk, metabolic syndrome and HIV in Tanzania. Heart 2016; 102:1200-5. [PMID: 27105648 PMCID: PMC4945369 DOI: 10.1136/heartjnl-2015-309026] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Accepted: 04/03/2016] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE To compare short-term and long-term cardiovascular disease (CVD) risk scores and prevalence of metabolic syndrome in HIV-infected adults receiving and not receiving antiretroviral therapy (ART) to HIV-negative controls. METHODS A cross-sectional study including 151 HIV-infected, ART-naive, 150 HIV-infected on ART and 153 HIV-negative adults. Traditional cardiovascular risk factors were determined by standard investigations. The primary outcome was American College of Cardiology/American Heart Association Atherosclerotic CVD (ASCVD) Risk Estimator lifetime CVD risk score. Secondary outcomes were ASCVD 10-year risk, Framingham risk scores, statin indication and metabolic syndrome. RESULTS Compared with HIV-negative controls, more HIV-infected adults on ART were classified as high lifetime CVD risk (34.7% vs 17.0%, p<0.001) although 10-year risk scores were similar, a trend which was similar across multiple CVD risk models. In addition, HIV-infected adults on ART had a higher prevalence of metabolic syndrome versus HIV-negative controls (21.3% vs 7.8%, p=0.008), with two common clusters of risk factors. More than one-quarter (28.7%) of HIV-infected Tanzanian adults on ART meet criteria for statin initiation. CONCLUSIONS HIV-infected ART-treated individuals have high lifetime cardiovascular risk, and this risk seems to develop rapidly in the first 3-4 years of ART as does the development of clusters of metabolic syndrome criteria. These data identify a new subgroup of low short-term/high-lifetime risk HIV-infected individuals on ART who do not currently meet criteria for CVD risk factor modification but require further study.
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Affiliation(s)
- Justin R Kingery
- Department of Internal Medicine, Catholic University of Health and Allied Sciences, PO Box 5034, Mwanza, Tanzania
- Department of Internal Medicine, Bugando Medical Centre, Mwanza, Tanzania
- Division of Hospital Medicine, Department of Internal Medicine, Weill Cornell Medical College, New York City, USA
- Center for Global Health, Department of Internal Medicine, Weill Cornell Medical College, New York City, USA
| | - Yona Alfred
- Department of Internal Medicine, Catholic University of Health and Allied Sciences, PO Box 5034, Mwanza, Tanzania
- Department of Internal Medicine, Bugando Medical Centre, Mwanza, Tanzania
| | - Luke R Smart
- Department of Internal Medicine, Catholic University of Health and Allied Sciences, PO Box 5034, Mwanza, Tanzania
- Department of Internal Medicine, Bugando Medical Centre, Mwanza, Tanzania
- Center for Global Health, Department of Internal Medicine, Weill Cornell Medical College, New York City, USA
| | - Emily Nash
- Center for Global Health, Department of Internal Medicine, Weill Cornell Medical College, New York City, USA
| | - Jim Todd
- Population Health Department, London School of Hygiene & Tropical Medicine, London, UK
| | - Mostafa R Naguib
- Department of Medicine, Weill Cornell Medical College-Qatar, Doha, Qatar
| | - Jennifer A Downs
- Department of Internal Medicine, Catholic University of Health and Allied Sciences, PO Box 5034, Mwanza, Tanzania
- Department of Internal Medicine, Bugando Medical Centre, Mwanza, Tanzania
- Center for Global Health, Department of Internal Medicine, Weill Cornell Medical College, New York City, USA
| | - Samuel Kalluvya
- Department of Internal Medicine, Catholic University of Health and Allied Sciences, PO Box 5034, Mwanza, Tanzania
- Department of Internal Medicine, Bugando Medical Centre, Mwanza, Tanzania
| | - Johannes B Kataraihya
- Department of Internal Medicine, Catholic University of Health and Allied Sciences, PO Box 5034, Mwanza, Tanzania
- Department of Internal Medicine, Bugando Medical Centre, Mwanza, Tanzania
| | - Robert N Peck
- Department of Internal Medicine, Catholic University of Health and Allied Sciences, PO Box 5034, Mwanza, Tanzania
- Department of Internal Medicine, Bugando Medical Centre, Mwanza, Tanzania
- Division of Hospital Medicine, Department of Internal Medicine, Weill Cornell Medical College, New York City, USA
- Center for Global Health, Department of Internal Medicine, Weill Cornell Medical College, New York City, USA
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Little M, Humphries S, Patel K, Dodd W, Dewey C. Factors associated with glucose tolerance, pre-diabetes, and type 2 diabetes in a rural community of south India: a cross-sectional study. Diabetol Metab Syndr 2016; 8:21. [PMID: 26958082 PMCID: PMC4782344 DOI: 10.1186/s13098-016-0135-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Accepted: 02/17/2016] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND India's national rural prevalence of type 2 diabetes has quadrupled in the past 25 years. Despite the growing rural burden, few studies have examined putative risk factors and their relationship with glucose intolerance and diabetes in rural areas. We undertook a cross-sectional study to determine the prevalence of impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and type 2 diabetes in a rural area of south India. In addition, we determined which factors were associated with type 2 diabetes. METHODS We sampled 2 % of the adult population from 17 villages using a randomized household-level sampling technique. Each participant undertook a questionnaire that included basic descriptive information and an assessment of socioeconomic status, physical activity, and dietary intake. Height, weight, waist and hip circumference, and blood pressure measurements were taken. An oral glucose tolerance test was used to determine diabetes status. We used stepwise logistic model building techniques to determine associations between several putative factors and type 2 diabetes. RESULTS 753 participants were included in the study. The age- and sex-standardized prevalence of IFG was 3.9 %, IGT was 5.6 %, and type 2 diabetes was 10.8 %. Factors associated with type 2 diabetes after adjusting for confounders included physical activity [OR 0.81], rurality [OR 0.76], polyunsaturated fat intake [OR 0.94], body mass index [OR 1.85], waist to hip ratio [OR 1.62], and tobacco consumption [OR 2.82]. CONCLUSION Our study contributes to the growing body of research suggesting that diabetes is a significant concern in rural south India. Associated risk factors should be considered as potential targets for reducing health burdens in India.
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Affiliation(s)
- Matthew Little
- />Department of Population Medicine, University of Guelph, Guelph, ON Canada
| | - Sally Humphries
- />Department of Sociology and Anthropology, University of Guelph, Guelph, ON Canada
| | - Kirit Patel
- />Department of International Development Studies, Menno Simons College, University of Winnipeg, Winnipeg, MB Canada
| | - Warren Dodd
- />Department of Population Medicine, University of Guelph, Guelph, ON Canada
| | - Cate Dewey
- />Department of Population Medicine, University of Guelph, Guelph, ON Canada
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Bhavadharini B, Mahalakshmi MM, Maheswari K, Kalaiyarasi G, Anjana RM, Deepa M, Ranjani H, Priya M, Uma R, Usha S, Pastakia SD, Malanda B, Belton A, Unnikrishnan R, Kayal A, Mohan V. Use of capillary blood glucose for screening for gestational diabetes mellitus in resource-constrained settings. Acta Diabetol 2016; 53:91-7. [PMID: 25916215 PMCID: PMC4749644 DOI: 10.1007/s00592-015-0761-9] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2015] [Accepted: 04/12/2015] [Indexed: 12/17/2022]
Abstract
AIMS The aim of the study was to evaluate usefulness of capillary blood glucose (CBG) for diagnosis of gestational diabetes mellitus (GDM) in resource-constrained settings where venous plasma glucose (VPG) estimations may be impossible. METHODS Consecutive pregnant women (n = 1031) attending antenatal clinics in southern India underwent 75-g oral glucose tolerance test (OGTT). Fasting, 1- and 2-h VPG (AU2700 Beckman, Fullerton, CA) and CBG (One Touch Ultra-II, LifeScan) were simultaneously measured. Sensitivity and specificity were estimated for different CBG cut points using the International Association of Diabetes in Pregnancy Study Groups (IADPSG) criteria for the diagnosis of GDM as gold standard. Bland-Altman plots were drawn to look at the agreement between CBG and VPG. Correlation and regression equation analysis were also derived for CBG values. RESULTS Pearson's correlation between VPG and CBG for fasting was r = 0.433 [intraclass correlation coefficient (ICC) = 0.596, p < 0.001], for 1H, it was r = 0.653 (ICC = 0.776, p < 0.001), and for 2H, r = 0.784 (ICC = 0.834, p < 0.001). Comparing a single CBG 2-h cut point of 140 mg/dl (7.8 mmol/l) with the IADPSG criteria, the sensitivity and specificity were 62.3 and 80.7 %, respectively. If CBG cut points of 120 mg/dl (6.6 mmol/l) or 110 mg/dl (6.1 mmol/l) were used, the sensitivity improves to 78.3 and 92.5 %, respectively. CONCLUSIONS In settings where VPG estimations are not possible, CBG can be used as an initial screening test for GDM, using lower 2H CBG cut points to maximize the sensitivity. Those who screen positive can be referred to higher centers for definitive testing, using VPG.
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Affiliation(s)
- Balaji Bhavadharini
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, IDF Centre of Education, 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
| | - Manni Mohanraj Mahalakshmi
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, IDF Centre of Education, 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
| | - Kumar Maheswari
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, IDF Centre of Education, 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
| | - Gunasekaran Kalaiyarasi
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, IDF Centre of Education, 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
| | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, IDF Centre of Education, 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
| | - Mohan Deepa
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, IDF Centre of Education, 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
| | - Harish Ranjani
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, IDF Centre of Education, 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
| | - Miranda Priya
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, IDF Centre of Education, 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
| | - Ram Uma
- Seethapathy Clinic and Hospital, Chennai, India
| | - Sriram Usha
- Associates in Clinical Endocrinology Education and Research (ACEER), Chennai, India
| | | | - Belma Malanda
- International Diabetes Federation, Brussels, Belgium
| | - Anne Belton
- International Diabetes Federation, Brussels, Belgium
| | - Ranjit Unnikrishnan
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, IDF Centre of Education, 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
| | | | - Viswanathan Mohan
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, IDF Centre of Education, 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India.
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Bahendeka S, Wesonga R, Mutungi G, Muwonge J, Neema S, Guwatudde D. Prevalence and correlates of diabetes mellitus in Uganda: a population-based national survey. Trop Med Int Health 2016; 21:405-16. [PMID: 26729021 DOI: 10.1111/tmi.12663] [Citation(s) in RCA: 84] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE We analysed fasting blood glucose (FBG) and other data collected as part of a population-based nationwide non-communicable disease risk factor survey, to estimate the prevalence of impaired fasting glycaemia (IFG) and diabetes mellitus and to identify associated factors in Uganda. METHODS The nationwide cross-sectional survey was conducted between April and July 2014. Participants were adults aged 18-69 years. A multistage stratified sample design was used to produce a national representative sample. Fasting capillary glucose was measured to estimate glycaemia. Data were managed with WHO e-STEPs software and Epi Info. Stata(®) survey procedures were used to account for the sampling design, and sampling weights were used to account for differential probability of selection between strata. RESULTS Of the 3689 participants, 1467 (39.8%) were males, and 2713 (73.5%) resided in the rural areas. The mean age was 35.1 years (standard deviation = 12.6) for males and 35.8 years (13.2) for females. The overall prevalence of IFG was 2.0% (95% confidence interval (CI) = 1.5-2.5%), whereas that of diabetes mellitus was 1.4% (95% CI 0.9-1.9%). The prevalence of IFG was 2.1% (95% CI 1.3-2.9%) among males and 1.9% (95% CI 1.3-2.6%) among females, whereas that of diabetes mellitus was 1.6% (95% CI 0.8-2.6%) and 1.1% (95% CI 0.6-1.7%), respectively. The prevalence of IFG was 2.6% (95% CI 1.4-3.8%) among urban and 1.9% (95% CI 1.3-2.4%) among rural residents, whereas that of diabetes mellitus was 2.7% (95% CI 1.4-4.1) and 1.0% (95% 0.5-1.6%), respectively. The majority of participants identified with hyperglycaemia (90.5% IFG and 48.9% diabetes) were not aware of their hyperglycaemic status. Factors associated with IFG were region of residence, body mass index and total cholesterol; factors associated with diabetes mellitus were age, sex, household floor finish and abdominal obesity. CONCLUSION The prevalence of IFG and of diabetes mellitus is low in the Ugandan population, providing an opportunity for the prevention of diabetes. The majority of persons with hyperglycaemia were not aware of their hyperglycaemic status, which implies a likelihood of presenting late with complications.
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Affiliation(s)
- Silver Bahendeka
- MKPGMS Uganda Martyrs University and St. Francis Nsambya Hospital Diabetes Centre, Kampala, Uganda
| | - Ronald Wesonga
- School of Statistics and Planning, Makerere University, Kampala, Uganda
| | | | | | - Stella Neema
- School of Social Sciences, Makerere University, Kampala, Uganda
| | - David Guwatudde
- School of Public Health, Makerere University, Kampala, Uganda
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Glucose Metabolism Disorders, HIV and Antiretroviral Therapy among Tanzanian Adults. PLoS One 2015; 10:e0134410. [PMID: 26287742 PMCID: PMC4545793 DOI: 10.1371/journal.pone.0134410] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2015] [Accepted: 07/08/2015] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Millions of HIV-infected Africans are living longer due to long-term antiretroviral therapy (ART), yet little is known about glucose metabolism disorders in this group. We aimed to compare the prevalence of glucose metabolism disorders among HIV-infected adults on long-term ART to ART-naïve adults and HIV-negative controls, hypothesizing that the odds of glucose metabolism disorders would be 2-fold greater even after adjusting for possible confounders. METHODS In this cross-sectional study conducted between October 2012 and April 2013, consecutive adults (>18 years) attending an HIV clinic in Tanzania were enrolled in 3 groups: 153 HIV-negative controls, 151 HIV-infected, ART-naïve, and 150 HIV-infected on ART for ≥ 2 years. The primary outcome was the prevalence of glucose metabolism disorders as determined by oral glucose tolerance testing. We compared glucose metabolism disorder prevalence between each HIV group vs. the control group by Fisher's exact test and used multivariable logistic regression to determine factors associated with glucose metabolism disorders. RESULTS HIV-infected adults on ART had a higher prevalence of glucose metabolism disorders (49/150 (32.7%) vs.11/153 (7.2%), p<0.001) and frank diabetes mellitus (27/150 (18.0%) vs. 8/153 (5.2%), p = 0.001) than HIV-negative adults, which remained highly significant even after adjusting for age, gender, adiposity and socioeconomic status (OR = 5.72 (2.78-11.77), p<0.001). Glucose metabolism disorders were significantly associated with higher CD4+ T-cell counts. Awareness of diabetes mellitus was <25%. CONCLUSIONS HIV-infected adults on long-term ART had 5-fold greater odds of glucose metabolism disorders than HIV-negative controls but were rarely aware of their diagnosis. Intensive glucose metabolism disorder screening and education are needed in HIV clinics in sub-Saharan Africa. Further research should determine how glucose metabolism disorders might be related to immune reconstitution.
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Cembrowski G, Lyon ME, Klonoff DC. Glucose data-mining study inconclusive. Can J Diabetes 2015; 39:354-5. [PMID: 26028478 DOI: 10.1016/j.jcjd.2015.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2015] [Accepted: 03/13/2015] [Indexed: 10/23/2022]
Affiliation(s)
- George Cembrowski
- Alberta Health Services, Walter C. MacKenzie Health Sciences Centre, Edmonton, Alberta, Canada
| | - Martha E Lyon
- Royal University Hospital, Saskatoon, Saskatchewan, Canada
| | - David C Klonoff
- Diabetes Research Institute, Mills-Peninsula Health Services, San Mateo, California, USA
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Chukwunonso ECCE, Nnamdi KU, Stella ON. Diabetes and pre-diabetes in adult Nigerians: Prevalence, and correlations of blood glucose concentrations with measures of obesity. ACTA ACUST UNITED AC 2015. [DOI: 10.5897/ajbr2015.0817] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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Janković S, Stojisavljević D, Janković J, Erić M, Marinković J. Status of cardiovascular health in a transition European country: findings from a population-based cross-sectional study. Int J Public Health 2014; 59:769-78. [DOI: 10.1007/s00038-014-0579-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2014] [Revised: 06/08/2014] [Accepted: 06/16/2014] [Indexed: 01/01/2023] Open
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Janković S, Stojisavljević D, Janković J, Erić M, Marinković J. Association of socioeconomic status measured by education, and cardiovascular health: a population-based cross-sectional study. BMJ Open 2014; 4:e005222. [PMID: 25031193 PMCID: PMC4120304 DOI: 10.1136/bmjopen-2014-005222] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
OBJECTIVE Cardiovascular health (CVH) is a relatively new concept defined by the American Heart Association (AHA). The aim of the present study was to assess whether the indices of CVH were discriminators of socioeconomic status (SES) in the adult population of the Republic of Srpska (RS). DESIGN Population-based cross-sectional study. SETTING RS, Bosnia and Herzegovina. PARTICIPANTS The study involved 4165 adults aged ≥18 years (mean age 50.2; 54% women) who participated in the National Health Survey performed from September to November 2010 in the RS. STUDY VARIABLES Participant's education was a proxy for SES. Potential discriminators of SES were indices of CVH presented according to AHA as: ideal health behaviours index (non-smoking, body mass index <25 kg/m(2), physical activity at goal level and healthy diet); ideal health factors index (untreated total cholesterol <200 mg/dL, untreated blood pressure <120/<80 mm Hg, untreated fasting glucose <100 mg/dL and non-smoking); and ideal CVH status (defined as all seven ideal health metrics present) versus intermediate and poor CVH status. RESULTS Participants with high educational levels had a significantly greater number of ideal CVH metrics, and ideal health factor metrics compared with those with low or medium educational level (OR 0.88 95% CI 0.77 to 0.99 and OR 0.88 95% CI 0.80 to 0.96; OR 0.81 95% CI 0.69 to 0.96 and OR 0.77 95% CI 0.68 to 0.87; respectively). The number of ideal behaviour metrics was not a discriminator of educational groups. Concerning the categories of CVH status the poor CVH was a discriminator for low and medium education compared with those with high education (OR 1.93 95% CI 1.24 to 3.01 and OR 1.54 95% CI 1.08 to 2.19, respectively). CONCLUSIONS Our findings emphasise the large potential for preventing cardiovascular disease, showing a low proportion with a favourable CVH profile, especially among low-educated people. It is necessary to consider prevention strategies aimed at improving CVH in RS, targeting primarily low educational groups.
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Affiliation(s)
- Slavenka Janković
- Faculty of Medicine, Institute of Epidemiology, University of Belgrade, Belgrade, Serbia
| | | | - Janko Janković
- Faculty of Medicine, Institute of Social Medicine, University of Belgrade, Belgrade, Serbia
| | - Miloš Erić
- Faculty of Economics, Finance and Administration, Singidunum University, Belgrade, Serbia
| | - Jelena Marinković
- Faculty of Medicine, Institute of Medical Statistics and Informatics, University of Belgrade, Belgrade, Serbia
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Bar-Dayan Y, Bogaiov A, Boaz M, Landau Z, Wainstein J. Opinion and knowledge among hospital medical staff regarding diagnosis of diabetes and proper usage of a specific test tube for glucose analysis. Int J Clin Pract 2014; 68:278-82. [PMID: 24373068 DOI: 10.1111/ijcp.12314] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2013] [Accepted: 08/29/2013] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Accuracy of blood sugar values, as examined by glucose analysis, has significant importance on the diagnosis of diabetes and follow up of diabetes treatment. Usage of a designated test tube significantly improves the accuracy of measurement. Knowledge of the medical staff is a major determinant in the current usage of such a technology. The aim of the study was to assess the level of knowledge exhibited by medical staff in the diabetes field and specifically for the usage of a designated tube to test blood glucose level. METHODS A prospective study. The staff of the internal and surgical departments and outpatient clinics at the Wolfson Medical Center completed a questionnaire that assessed the level of knowledge about the designated glucose test tube, other randomly used test tubes, the parameters that influence the blood glucose values in a non-designated tube and the diagnosis of diabetes. RESULTS A number of 160 questionnaires (50% from internal departments, 36% from surgical departments and 14% from outpatient clinics) were analysed. The majority of the staff members (65%) knew that diabetes is diagnosed by glucose levels in blood. Of the 35% that did not know, 91% were nurses. The majority (75%) knew that diabetes is diagnosed during fasting conditions; however, most of the staff indicated that 12 h is needed. Only 25% knew of the designated test tube, and most of the staff indicated that a regular chemistry tube was the tube of choice for them. The staff exhibited poor level of knowledge regarding the parameters that influence the quality of the test. CONCLUSIONS Staff members are not aware of the various aspects of diabetes diagnosis and the designated test tube for glucose measurements, and most of them use a tube that gives inaccurate measurements, therefore there is an urgent need to improve diabetes knowledge among staff members.
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Affiliation(s)
- Y Bar-Dayan
- Diabetes Unit, Wolfson Medical Center, Holon, Israel
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Zhao X, Zhao W, Zhang H, Li J, Shu Y, Li S, Cai L, Zhou J, Li Y, Hu R. Fasting capillary blood glucose: an appropriate measurement in screening for diabetes and pre-diabetes in low-resource rural settings. J Endocrinol Invest 2013; 36:33-7. [PMID: 22453076 DOI: 10.3275/8304] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVE To evaluate the efficiency of fasting capillary blood glucose (FCG) measurement as compared with fasting venous plasma glucose (FPG) measurement in screening diabetes and pre-diabetes in low-resource rural settings. SUBJECTS AND METHODS In 2010, 993 participants were randomly selected from 9 villages in Yunnan province using cluster sampling method. Samples for FCG and FPG test were obtained after demographics and physical examination. The oral glucose tolerance test was performed in parallel as gold standard for diagnosis. Diagnostic capacities of the FCG measurement in predicting undiagnosed diabetes and pre-diabetes were assessed. The performance of FCG and FPG tests was compared. RESULTS Fifty-seven individuals with undiagnosed diabetes and 145 subjects with pre-diabetes were detected. The concordance between FCG and FPG levels was high (r = 0.75, p < 0.001). The area under the curve (AUC) for FCG test in predicting diabetes was 0.88 [95% confidence interval (CI) 0.82-0.93] with the optimal cutoff value of 5.65 mmol/l, sensitivity of 84.2%, and specificity of 79.3%. The corresponding values in FPG tests were 0.92 (95% CI 0.88-0.97) (AUC), 6.51 mmol/l (optimal cutoff point), 82.5% (sensitivity) and 98.3% (specificity), respectively. No significant difference was found in the AUC for the two screening strategies. CONCLUSION FCG measurement is considered to be a convenient, practicable screening method in low-resource rural communities with acceptable test properties.
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Affiliation(s)
- X Zhao
- Department of Endocrinology and Metabolism, HuaShan Hospital, No.12, Wulumuqi Middle Road, Shanghai 200040, China
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Harris JM, Lopez GP, Reichert WM. Silica-dispersed glucose oxidase for glucose sensing: in vitro testing in serum and blood and the effect of condensation pH. SENSORS AND ACTUATORS. B, CHEMICAL 2012; 174:373-379. [PMID: 23024461 PMCID: PMC3458790 DOI: 10.1016/j.snb.2012.08.046] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
The objectives of this study were to examine the feasibility of using glucose oxidase (GOx) dispersed in a silica matrix for glucose monitoring in whole blood, and then to assess whether the flexibility of silica sol-gel chemistry could be exploited to enhance glucose sensor performance and stability. Silica-dispersed GOx was deployed on platinized platinum (Pt) wire to form a Clark-type amperometric glucose sensor. Sensors were calibrated using buffered glucose standard solutions, and then tested against glucose spiked human serum and whole blood. All serum and whole blood measurements met the minimum FDA requirement of falling within the "A+B region" of a Clark Error Grid. To our knowledge this is the first report of using silica-dispersed GOx to measure glucose in whole blood. The effect of condensation pH on sensor performance was assessed by dispersing GOx in silica condensed at pH 3, 7 and 12, and then testing the sensor response against glucose calibration standards. The pH 12 silica sensors had statistically faster response time, and higher sensor sensitivity compared to pH 7, pH 3 silica and glutaraldehyde crosslinked sensors. Membranes of the pH 12 silica had statistically higher glucose diffusion coefficient than did the pH 7 and 3 sensors. GOx dispersed in pH 12 silica also had the longest half life. We hypothesize that the gel-like pH 12 silica gels provided reduced barriers to glucose diffusion, and the more aqueous microenvironment provided greater stability for the enzyme.
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Echouffo-Tcheugui JB, Mayige M, Ogbera AO, Sobngwi E, Kengne AP. Screening for hyperglycemia in the developing world: rationale, challenges and opportunities. Diabetes Res Clin Pract 2012; 98:199-208. [PMID: 22975016 DOI: 10.1016/j.diabres.2012.08.003] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2012] [Revised: 07/17/2012] [Accepted: 08/09/2012] [Indexed: 01/06/2023]
Abstract
BACKGROUND The prevalence of diabetes and prediabetes are increasingly high in developing countries, where detection rates remain very low. This manuscript discusses the rationale, challenges and opportunities for early detection of diabetes and prediabetes in developing countries. METHODS PubMed was searched up to March 2012 for studies addressing screening for hyperglycemia in developing countries. Relevant studies were summarized through key questions derived from the Wilson and Junger criteria. RESULTS In developing countries, diabetes predominantly affects working-age persons, has high rates of complications and devastating economic impacts. These countries are ill-equipped to handle advanced stages of the disease. There are acceptable and relatively simple tools that can aid screening in these countries. Interventions shown to be cost-effective in preventing diabetes and its complications in developed countries can be used in screen-detected people of developing countries. However, effective implementation of these interventions remains a challenge, and the costs and benefits of diabetes screening in these settings are less well-known. Implementing screening policies in developing countries will require health systems strengthening, through creative funding and staff training. CONCLUSIONS For many compelling reasons, screening for hyperglycemia preferably targeted, should be a policy priority in developing countries. This will help reorient health systems toward cost-saving prevention.
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Affiliation(s)
- Justin B Echouffo-Tcheugui
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
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Castro-Webb N, Ruiz-Narváez EA, Campos H. Cross-sectional study of conjugated linoleic acid in adipose tissue and risk of diabetes. Am J Clin Nutr 2012; 96:175-81. [PMID: 22648724 PMCID: PMC3374738 DOI: 10.3945/ajcn.111.011858] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Some experimental studies on conjugated linoleic acid (CLA) and insulin regulation suggested that CLA could be associated with risk of diabetes, but epidemiologic studies are lacking. OBJECTIVE The aim of the study was to test whether the amount of CLA in adipose tissue is associated with risk of diabetes. DESIGN A cross-sectional design was used to test the study hypothesis in 232 adults with diabetes and 1512 adults without diabetes who lived in Costa Rica. The cis-9, trans-11 and trans-10, cis-12 CLA isomers in adipose tissue and 48 other fatty acids were assessed by using gas chromatography. Prevalence ratios (PRs) and 95% CIs were estimated by using Poisson regression adjusted for potential confounders. RESULTS The mean (±SD) percentage of total fatty acids of CLA for the cis-9, trans-11 isomer in adipose tissue was 0.57 ± 0.18% in adults without diabetes and 0.53 ± 0.17% in adults with diabetes (P = 0.0078). The trans-10, cis-12 CLA isomer was not detected in adipose tissue. The cis-9, trans-11 CLA isomer was associated with a lower risk of diabetes. In comparison with the first quintile, the PR (95% CI) for the fifth quintile was 0.48 (0.31, 0.76) (P-trend = 0.0005) in the basic and 0.46 (0.29, 0.72) (P-trend = 0.0002) in the multivariable model. Additional adjustment for other fatty acids in adipose tissue including trans-9 16:1, which is a fatty acid that was previously associated with diabetes, did not modify the results. CONCLUSION The observed inverse association between the cis-9, trans-11 CLA in adipose tissue and diabetes risk is consistent with the hypothesis that CLA may be involved in insulin regulation.
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Affiliation(s)
- Nelsy Castro-Webb
- Department of Nutrition, Harvard School of Public Health, Boston, MA 02115, USA
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Balaji V, Madhuri BS, Paneerselvam A, Arthi T, Seshiah V. Comparison of venous plasma glucose and capillary whole blood glucose in the diagnosis of gestational diabetes mellitus: a community-based study. Diabetes Technol Ther 2012; 14:131-4. [PMID: 21992269 DOI: 10.1089/dia.2011.0060] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
BACKGROUND Universal screening for gestational diabetes mellitus (GDM) is advocated in Indian women as they have the highest frequency of GDM among the South Asian population. For this the diagnostic procedure has to be simple, economical, and evidence based. Hence, this study was undertaken to compare point-of-care measured capillary whole blood glucose (CBG) with a glucometer and laboratory-estimated venous plasma glucose (VPG) and to suggest which is feasible as a diagnostic tool. METHODS Consecutive pregnant women in the third trimester were included in this study with the approval of the institutional ethical committee. They were given 75 g of oral glucose in the fasting state. After 2 h, CBG was measured by finger prick using an Accu-Chek(®) glucometer (Roche Diagnostics India Pvt. Ltd., Mumbai, India), and venous blood was drawn to estimate VPG in the laboratory by the glucose oxidase-peroxidase method. The diagnosis of GDM was based on a 2-h plasma glucose level of ≥7.8 mmol/L (World Health Organization criteria). RESULTS Among 819 pregnant women, 86 (10.5%) were diagnosed as having GDM. The CBG value at a 2-h plasma glucose level of ≥7.8 mmol/L had a sensitivity of 80.2% and specificity of 98.5% with false-positive and false-negative rates of 1.5% and 19.8%, respectively. The area under the receiver operator characteristic curve of CBG was 0.991. CONCLUSION The CBG value at a 2-h plasma glucose level of ≥7.8 mmol/L may be recommended for the diagnosis of GDM in healthcare centers where laboratory technology is not available.
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Affiliation(s)
- Vijayam Balaji
- Dr. V. Seshiah Diabetes Research Institute and Dr. Balaji Diabetes Care Centre, Chennai, India
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Anjana RM, Pradeepa R, Deepa M, Datta M, Sudha V, Unnikrishnan R, Bhansali A, Joshi SR, Joshi PP, Yajnik CS, Dhandhania VK, Nath LM, Das AK, Rao PV, Madhu SV, Shukla DK, Kaur T, Priya M, Nirmal E, Parvathi SJ, Subhashini S, Subashini R, Ali MK, Mohan V. Prevalence of diabetes and prediabetes (impaired fasting glucose and/or impaired glucose tolerance) in urban and rural India: phase I results of the Indian Council of Medical Research-INdia DIABetes (ICMR-INDIAB) study. Diabetologia 2011; 54:3022-7. [PMID: 21959957 DOI: 10.1007/s00125-011-2291-5] [Citation(s) in RCA: 462] [Impact Index Per Article: 35.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2011] [Accepted: 07/28/2011] [Indexed: 02/07/2023]
Abstract
AIMS/HYPOTHESIS This study reports the results of the first phase of a national study to determine the prevalence of diabetes and prediabetes (impaired fasting glucose and/or impaired glucose tolerance) in India. METHODS A total of 363 primary sampling units (188 urban, 175 rural), in three states (Tamilnadu, Maharashtra and Jharkhand) and one union territory (Chandigarh) of India were sampled using a stratified multistage sampling design to survey individuals aged ≥ 20 years. The prevalence rates of diabetes and prediabetes were assessed by measurement of fasting and 2 h post glucose load capillary blood glucose. RESULTS Of the 16,607 individuals selected for the study, 14,277 (86%) participated, of whom 13,055 gave blood samples. The weighted prevalence of diabetes (both known and newly diagnosed) was 10.4% in Tamilnadu, 8.4% in Maharashtra, 5.3% in Jharkhand, and 13.6% in Chandigarh. The prevalences of prediabetes (impaired fasting glucose and/or impaired glucose tolerance) were 8.3%, 12.8%, 8.1% and 14.6% respectively. Multiple logistic regression analysis showed that age, male sex, family history of diabetes, urban residence, abdominal obesity, generalised obesity, hypertension and income status were significantly associated with diabetes. Significant risk factors for prediabetes were age, family history of diabetes, abdominal obesity, hypertension and income status. CONCLUSIONS/INTERPRETATIONS We estimate that, in 2011, Maharashtra will have 6 million individuals with diabetes and 9.2 million with prediabetes, Tamilnadu will have 4.8 million with diabetes and 3.9 million with prediabetes, Jharkhand will have 0.96 million with diabetes and 1.5 million with prediabetes, and Chandigarh will have 0.12 million with diabetes and 0.13 million with prediabetes. Projections for the whole of India would be 62.4 million people with diabetes and 77.2 million people with prediabetes.
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Affiliation(s)
- R M Anjana
- Madras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Noncommunicable Diseases Prevention and Control, IDF Centre for Education, 4, Conran Smith Road, Gopalapuram, Chennai 600 086, India
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Absolute and percent CD4+ T-cell enumeration by flow cytometry using capillary blood. J Immunol Methods 2011; 372:1-6. [DOI: 10.1016/j.jim.2011.07.008] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2011] [Revised: 07/08/2011] [Accepted: 07/08/2011] [Indexed: 11/30/2022]
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Anjana RM, Pradeepa R, Deepa M, Datta M, Sudha V, Unnikrishnan R, Nath LM, Das AK, Madhu SV, Rao PV, Shukla DK, Kaur T, Ali MK, Mohan V. The Indian Council of Medical Research-India Diabetes (ICMR-INDIAB) study: methodological details. J Diabetes Sci Technol 2011; 5:906-14. [PMID: 21880233 PMCID: PMC3192597 DOI: 10.1177/193229681100500413] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Currently available estimates of diabetes prevalence in India are based on published data derived from very few studies. The Indian Council of Medical Research-India Diabetes (ICMR-INDIAB) study is a community-based survey conceived with the aim of obtaining the prevalence rates of diabetes in India as a whole, covering all 28 states, the National Capital Territory of Delhi, and two of the union territories in the mainland of India, with a total sample size of 124,000 individuals. METHODS A stratified multistage sampling design has been used. In all study subjects, a structured questionnaire was administered and anthropometric parameters and blood pressure were measured. Fasting capillary blood glucose was first determined using a glucose meter. An oral glucose load was then administered to all subjects except those with self-reported diabetes, and the 2 h post-load capillary blood glucose was estimated. In every fifth subject, a fasting venous sample was collected for measurement of lipids and creatinine, a resting 12-lead electrocardiogram was performed, and dietary assessment questionnaire was administered. In all diabetic subjects, an additional diabetes questionnaire was used and a fasting venous sample drawn for glycated hemoglobin. RESULTS All biological samples collected were analyzed in a central laboratory. All data collected were stored electronically. Quality control was achieved through multiple tiers of checks. CONCLUSIONS The ICMR-INDIAB study is the first of its kind attempting to provide accurate and comprehensive state- and national-level data on diabetes prevalence in India.
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Affiliation(s)
- Ranjit Mohan Anjana
- Madras Diabetes Research Foundation, Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Noncommunicable Diseases Prevention and Control, IDF Centre of EducationChennai, India
| | - Rajendra Pradeepa
- Madras Diabetes Research Foundation, Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Noncommunicable Diseases Prevention and Control, IDF Centre of EducationChennai, India
| | - Mohan Deepa
- Madras Diabetes Research Foundation, Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Noncommunicable Diseases Prevention and Control, IDF Centre of EducationChennai, India
| | - Manjula Datta
- Madras Diabetes Research Foundation, Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Noncommunicable Diseases Prevention and Control, IDF Centre of EducationChennai, India
| | - Vasudevan Sudha
- Madras Diabetes Research Foundation, Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Noncommunicable Diseases Prevention and Control, IDF Centre of EducationChennai, India
| | - Ranjit Unnikrishnan
- Madras Diabetes Research Foundation, Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Noncommunicable Diseases Prevention and Control, IDF Centre of EducationChennai, India
| | | | - Ashok Kumar Das
- Jawaharlal Institute of Post-Graduate Medical Education and ResearchPuducherry, India
| | | | | | | | - Tanvir Kaur
- Indian Council of Medical ResearchNew Delhi, India
| | - Mohammed K Ali
- Madras Diabetes Research Foundation, Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Noncommunicable Diseases Prevention and Control, IDF Centre of EducationChennai, India
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation, Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Noncommunicable Diseases Prevention and Control, IDF Centre of EducationChennai, India
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Narayan KMV, Echouffo-Tcheugui JB. Analysis of the Indian Council of Medical Research-India Diabetes (ICMR-INDIAB) study. J Diabetes Sci Technol 2011; 5:915-7. [PMID: 21880234 PMCID: PMC3192598 DOI: 10.1177/193229681100500414] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The Indian Council of Medical Research-India Diabetes (ICMR-INDIAB) study is the first nationally representative survey of diabetes in India. It aims to provide national and regional counts of diabetes and prediabetes and also of cardiovascular risk factors. This ambitious and complex survey uses robust sampling techniques, standardized methods, appropriate quality assurance, and a three-phase data collection. However, the survey should be completed within a reasonable time span to avoid a differential effect of secular trends on regional estimates. A high response rate and low missing values must also be ensured. Reliance on capillary whole blood glucose (CBG) for the diagnosis of hyperglycemic states is a limitation of the survey. However, this is a reasonable compromise given the practical challenges of such a large study. Despite a good correlation between CBG and venous plasma glucose (VPG), the use of CBG may misclassify glycemic status. A better characterization of the CBG-VPG relationship, and the performance of CBG for detecting hyperglycemia, using a much larger sample, seems therefore advisable. This should be possible given that venous blood has been collected on a sizeable subset of participants. The Indian Council of Medical Research and the Madras Diabetes Research Foundation deserve praise for this massive undertaking, which will highlight areas for policy action and establish a national framework for noncommunicable disease (NCD) surveillance. The ICMR-INDIAB survey lays the foundation for effective NCD prevention and control and for applied public health research.
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Affiliation(s)
- K M Venkat Narayan
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, USA.
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