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Baatiema L, Strachan DL, Okoibhole LO, Kretchy IA, Kushitor M, Awuah RB, Sanuade OA, Korleki Danyki E, Amon S, Adjaye-Gbewonyo K, Yacobi H, Vaughan M, Blandford A, Antwi P, Jennings HM, Arhinful DK, de-Graft Aikins A, Fottrell E, Diabetes Team TCARE. Contextual awareness, response and evaluation (CARE) of diabetes in poor urban communities in Ghana: the CARE diabetes project qualitative study protocol. Glob Health Action 2024; 17:2364498. [PMID: 39011874 PMCID: PMC467110 DOI: 10.1080/16549716.2024.2364498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 05/19/2024] [Indexed: 07/17/2024] Open
Abstract
Diabetes remains a major, global clinical and public health threat with consistent rises in prevalence around the world over the past four decades. Two-thirds of the projected increases in global diabetes prevalence to 2045 are expected to come from low- and middle-income countries, including those in sub-Saharan Africa. Ghana is typical of this trend. However, there are gaps in evidence regarding the appropriate development of interventions and well-targeted policies for diabetes prevention and treatment that pay due attention to relevant local conditions and influences. Due consideration to community perspectives of environmental influences on the causes of diabetes, access to appropriate health services and care seeking for diabetes prevention and management is warranted, especially in urban settings. The 'Contextual Awareness, Response and Evaluation (CARE): Diabetes in Ghana' project is a mixed methods study in Ga Mashie, Accra. An epidemiological survey is described elsewhere. Six qualitative studies utilising a range of methodologies are proposed in this protocol to generate a contextual understanding of type 2 diabetes mellitus in an urban poor population. They focus on community, care provider, and policy stakeholder perspectives with a focus on food markets and environmental influences, the demand and supply of health services, and the history of the Ga Mashie community and its inhabitants. The results will be shared with the community in Ga Mashie and with health policy stakeholders in Ghana and other settings where the findings may be usefully transferable for the development of community-based interventions for diabetes prevention and control.
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Affiliation(s)
- Leonard Baatiema
- Department of Health Policy, Planning and Management, School of Public Health, University of Ghana, Legon, Ghana
- Centre for Tropical Medicine and Global Health Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | | | | | - Irene Akwo Kretchy
- Department of Pharmacy Practice and Clinical Pharmacy, School of Pharmacy, University of Ghana, Legon, Ghana
| | - Mawuli Kushitor
- Department of Health Policy Planning and Management, School of Public Health, University of Health and Allied Sciences, Ho, Ghana
| | - Raphael Baffour Awuah
- Regional Institute for Population Studies, University of Ghana, Legon, Ghana
- Vital Strategies, New York, USA
| | - Olutobi Adekunle Sanuade
- Department of Population Health Sciences, Division of Health System Innovation and Research, Spencer Fox Eccles School of Medicine at the University of Utah, Salt Lake City, UT, USA
| | | | - Samuel Amon
- Department of Health Policy, Planning and Management, School of Public Health, University of Ghana, Legon, Ghana
| | | | - Haim Yacobi
- Bartlett Development Planning Unit, University College London, London, UK
| | - Megan Vaughan
- Institute of Advanced Studies, University College London, London, UK
| | - Ann Blandford
- Department of Computer Science, University College London, London, UK
| | - Publa Antwi
- Department of Health Sciences, University of York, York, UK
| | - Hannah Maria Jennings
- Department of Health Sciences, University of York, York, UK
- Hull York Medical School, Heslington, UK
| | - Daniel Kojo Arhinful
- Department of Epidemiology, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Ghana
| | | | - Edward Fottrell
- Institute for Global Health, University College London, London, UK
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Drake C, Granados I, Rader A, Brucker A, Hoeffler S, Goldstein BA, Chamorro C, Johnson F, Hinz EM, Bedoya AD, German JC, Hauser J, Thacker C, Spratt SE. Addressing cost barriers to healthy eating with Eat Well, a prescription produce subsidy, for patients with diabetes and at risk for food insecurity: Study protocol for a type 1 hybrid effectiveness-implementation pragmatic randomized controlled trial. Contemp Clin Trials 2024; 145:107655. [PMID: 39111387 DOI: 10.1016/j.cct.2024.107655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 07/29/2024] [Accepted: 08/03/2024] [Indexed: 08/25/2024]
Abstract
BACKGROUND Patients with diabetes at risk of food insecurity face cost barriers to healthy eating and, as a result, poor health outcomes. Population health management strategies are needed to improve food security in real-world health system settings. We seek to test the effect of a prescription produce program, 'Eat Well' on cardiometabolic health and healthcare utilization. We will also assess the implementation of an automated, affirmative outreach strategy. METHODS We will recruit approximately 2400 patients from an integrated academic health system in the southeastern United States as part of a two-arm parallel hybrid type 1 pragmatic randomized controlled trial. Patients with diabetes, at risk for food insecurity, and a recent hemoglobin A1c reading will be eligible to participate. The intervention arm receives, 'Eat Well', which provides a debit card with $80 (added monthly) for 12 months valid for fresh, frozen, or canned fruits and vegetables across grocery retailers. The control arm does not. Both arms receive educational resources with diabetes nutrition and self-management materials, and information on existing care management resources. Using an intent-to-treat analysis, primary outcomes include hemoglobin A1C levels and emergency department visits in the 12 months following enrollment. Reach and fidelity data will be collected to assess implementation. DISCUSSION Addressing food insecurity, particularly among those at heightened cardiometabolic risk, is critical to equitable and effective population health management. Pragmatic trials provide important insights into the effectiveness and implementation of 'Eat Well' and approaches like it in real-world settings. REGISTRATION ClinicalTrials.gov Identifier: NCT05896644; Clinical Trial Registration Date: 2023-06-09.
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Affiliation(s)
- Connor Drake
- Department of Population Health Sciences, Duke University School of Medicine, 215 Morris St, Durham, NC 27701, USA; Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, 411 West Chapel Hill St, Durham, NC 27701, USA.
| | - Isa Granados
- Department of Population Health Sciences, Duke University School of Medicine, 215 Morris St, Durham, NC 27701, USA; Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, 411 West Chapel Hill St, Durham, NC 27701, USA; Duke Center for Childhood Obesity Research, Duke University School of Medicine, 3116 N. Duke Street, Room 1028, Durham, NC 27704, USA
| | - Abigail Rader
- Department of Population Health Sciences, Duke University School of Medicine, 215 Morris St, Durham, NC 27701, USA
| | - Amanda Brucker
- Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Duke University Medical Center 2424 Erwin Road, Suite 1102 Hock Plaza Box 2721, Durham, NC 27710, United States of America
| | - Sam Hoeffler
- Reinvestment Partners, 110 E Geer St, Durham, North Carolina 27701, United States of America
| | - Benjamin A Goldstein
- Department of Population Health Sciences, Duke University School of Medicine, 215 Morris St, Durham, NC 27701, USA; Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Duke University Medical Center 2424 Erwin Road, Suite 1102 Hock Plaza Box 2721, Durham, NC 27710, United States of America
| | - Ceci Chamorro
- Duke Office of Clinical Research, Duke University School of Medicine, 2200 West Main Street, Durham, NC 27705, United States of America
| | - Fred Johnson
- Duke Population Health Management Office, Duke University Health System, 3100 Tower Blvd Suite 1100, Durham, NC 27707, United States of America; Division of Community Health, Department of Family Medicine and Community Health, Duke University School of Medicine, DUMC 2914, Durham, NC, 27710, United States of America
| | - Eugenia McPeek Hinz
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, 40 Duke Medicine Circle, Durham, NC 27710, United States of America
| | - Armando D Bedoya
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC 27710, United States of America; Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Duke University Medical Center 2424 Erwin Road, Suite 1102 Hock Plaza Box 2721, Durham, NC 27710, United States of America
| | - Jashalynn C German
- Division of Endocrinology, Metabolism, and Nutrition, Department of Medicine, Duke University School of Medicine, Durham, NC 27710, United States of America
| | - Jillian Hauser
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, 40 Duke Medicine Circle, Durham, NC 27710, United States of America
| | - Connie Thacker
- Division of Endocrinology, Metabolism, and Nutrition, Department of Medicine, Duke University School of Medicine, Durham, NC 27710, United States of America
| | - Susan E Spratt
- Duke Population Health Management Office, Duke University Health System, 3100 Tower Blvd Suite 1100, Durham, NC 27707, United States of America; Division of Endocrinology, Metabolism, and Nutrition, Department of Medicine, Duke University School of Medicine, Durham, NC 27710, United States of America; Division of Community Health, Department of Family Medicine and Community Health, Duke University School of Medicine, DUMC 2914, Durham, NC, 27710, United States of America
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Graue M, Igland J, Oftedal BF, Haugstvedt A, Riise HKR, Zoffmann V, Jenum AK, Richards D, Kolltveit BCH. Interprofessional follow-up for people at risk of type 2 diabetes in primary healthcare - a randomized controlled trial with embedded qualitative interviews. Scand J Prim Health Care 2024; 42:450-462. [PMID: 38588447 PMCID: PMC11332301 DOI: 10.1080/02813432.2024.2337071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 03/26/2024] [Indexed: 04/10/2024] Open
Abstract
OBJECTIVE To examine the effects of an empowerment-based interprofessional lifestyle intervention program among people at risk of type 2 diabetes on knowledge, skills, and confidence in self-management, health, psychological well-being, and lifestyle characteristics, and to explore the participants' perceptions of participating in the intervention. DESIGN AND METHODS In line with the Medical Research Council complex interventions research methods framework, we conducted a randomized controlled trial with embedded qualitative interviews in primary healthcare clinics in Norway between 2019-2021. Of the patients at risk (The Finnish Diabetes Risk Score Calculator (FINDRISC) ≥15 or Body Mass Index (BMI) ≥30) 142 accepted the invitation, and 14 participants from the intervention group participated in individual interviews after the 12-month follow-up. Our primary outcome was the Patient Activation Measure (PAM-13). Secondary outcomes were EQ-5D-5L, EQ-VAS, WHO-Overall health, WHO-Overall QOL, weight, height, waist circumference, and regularity of physical activity. We used thematic analysis to analyse the qualitative data. RESULTS There was no clinically relevant differences of neither the primary nor the secondary endpoints between intervention and control group. As to the qualitative data, we identified two distinct features: 'Meaningful perspectives on lifestyle changes' and 'Lifestyle change is not a linear process due to challenges faced along the way' putting ownership of their choices in life into picture. CONCLUSION The negative results of the RCT stand in contrast to the findings given by the participants voices, perceiving the intervention as a key eye opener placing their health challenges in perspective. How to interpret these seemingly conflicting findings of participants being seen, heard, and understood, helping them to take more conscious ownership of their choices in life, and at the same time demonstrating no improvements in symptoms or measures, is a dilemma that needs further exploration. We should be careful to implement interventions that do not demonstrate any effects on the quantitative outcomes.
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Affiliation(s)
- Marit Graue
- Department of Health and Caring Sciences, Western Norway University of Applied Sciences, Bergen, Norway
| | - Jannicke Igland
- Department of Health and Caring Sciences, Western Norway University of Applied Sciences, Bergen, Norway
- Department of Global Public Health and Primary Care, University of Bergen, Norway
| | | | - Anne Haugstvedt
- Department of Health and Caring Sciences, Western Norway University of Applied Sciences, Bergen, Norway
| | - Hilde Kristin Refvik Riise
- Department of Health and Caring Sciences, Western Norway University of Applied Sciences, Bergen, Norway
- Department of Internal Medicine, Haukeland University Hospital, Bergen, Norway
| | - Vibeke Zoffmann
- Julie Marie Centre, Rigshospitalet, Research unit for Women`s and Children`s Health, Copenhagen, Denmark
- Institute of Public Health Copenhagen University, Copenhagen, Denmark
| | - Anne Karen Jenum
- General Practice Research Unit, Department of General Practice, Institute of Health and Society, University of Oslo, Oslo, Norway
| | - David Richards
- Department of Health and Caring Sciences, Western Norway University of Applied Sciences, Bergen, Norway
- Institute for Health Research, College of Medicine and Health, University of Exeter, Exeter, United Kingdom
| | - Beate-Christin Hope Kolltveit
- Department of Health and Caring Sciences, Western Norway University of Applied Sciences, Bergen, Norway
- Vossevangen medical center, Voss, Norway
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Larson S, Beaupré J, Kjelstrom S, Schwartz S, Hartz W, Massuda J. A Comparison of Emergency Room Visits and Hospital Admissions Between People with Prediabetes and Diabetes. Popul Health Manag 2024; 27:241-248. [PMID: 38656035 DOI: 10.1089/pop.2023.0264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2024] Open
Abstract
The purpose of this study was to characterize risk factors and groups at risk among people with diabetes and prediabetes for increased hospital utilization. Electronic health records for all people who visited the emergency department (ED) and had type II diabetes mellitus (PWD) or prediabetes (PWPD) were collected. ED use, hospital admissions, demographics, and clinical characteristics were compared between the groups. Multivariable logistic regression was used to compare the odds of ED high utilization (HU) (3+ visits per year) and hospital admissions between PWD and PWPD with interactions for socioeconomic status, race, marital status, and total comorbidities. PWD had higher mean ED visits per year compared with PWPD (1.5 vs. 1.2) and were more likely to be admitted (57.3% vs. 34.9%). PWD had higher odds of ED HU (2.1 [1.6, 2.7]) and hospital admissions (1.9 [1.6, 2.1]). Among PWD, Black, not married, and those with more than one comorbidity had the highest odds of ED HU. Among PWPD, those of low SES, Black, and divorced had the higher odds of ED HU. Hospital admissions were a risk for PWD and PWPD with increasing comorbidities. Early recognition and identification of prediabetes and clear criteria for diagnosis could reduce ED visits and hospital admissions.
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Affiliation(s)
- Sharon Larson
- Main Line Health Center for Population Health Research at Lankenau Institute for Medical Research, Wynnewood, Pennsylvania, USA
- Associate Dean for Research and Professor, Jefferson University College of Population Health, Wynnewood, Pennsylvania, USA
| | - Justin Beaupré
- Main Line Health Center for Population Health Research at Lankenau Institute for Medical Research, Wynnewood, Pennsylvania, USA
| | - Stephanie Kjelstrom
- Main Line Health Center for Population Health Research at Lankenau Institute for Medical Research, Wynnewood, Pennsylvania, USA
- Thomas Jefferson University, College of Population Health, Philadelphia, Pennsylvania, USA
| | | | - William Hartz
- Pennsylvania Hospital, Philadelphia, Pennsylvania, USA
| | - Jackie Massuda
- Main Line Health Center for Population Health Research at Lankenau Institute for Medical Research, Wynnewood, Pennsylvania, USA
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Shao Y, Wang Y, Bigman E, Imperatore G, Holliday C, Zhang P. Lifetime Medical Spending Attributed to Incident Type 2 Diabetes in Medicare Beneficiaries: A Longitudinal Study Using 1999-2019 National Medicare Claims. Diabetes Care 2024; 47:1311-1318. [PMID: 38913956 PMCID: PMC11342786 DOI: 10.2337/dc24-0466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 05/28/2024] [Indexed: 06/26/2024]
Abstract
OBJECTIVE To estimate lifetime incremental medical spending attributed to incident type 2 diabetes (T2D) among Medicare beneficiaries by age at diagnosis, sex, and race/ethnicity. RESEARCH DESIGN AND METHODS We used the 1999-2019 100% Medicare fee-for-service claims database to identify a cohort of beneficiaries with newly diagnosed T2D in 2001-2003 using ICD codes. We matched this cohort with a nondiabetes cohort using a propensity score method and then followed the two cohorts until death, disenrollment, or the end of 2019. Lifetime medical spending for each cohort was the sum of expected annual spending, a product of actual annual spending multiplied by the annual survival rate, from the age at T2D diagnosis to death. Lifetime incremental medical spending was calculated as the difference in lifetime medical spending between the two cohorts. All spending was standardized to 2019 U.S. dollars. RESULTS Medicare beneficiaries with newly diagnosed T2D, despite having a shorter life expectancy, had 36-40% higher lifetime medical spending compared with a comparable group without diabetes. Lifetime incremental medical spending ranged from $16,115 to $122,146, depending on age at diagnosis, sex, and race/ethnicity, declining with age at diagnosis, and being highest for Asian/Pacific Islander and non-Hispanic Black beneficiaries. CONCLUSIONS The large lifetime incremental medical spending associated with incident T2D underscores the need for preventing T2D among Medicare beneficiaries. Our results could be used to estimate the potential financial benefit of T2D prevention programs both overall and among subgroups of beneficiaries.
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Affiliation(s)
- Yixue Shao
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Yu Wang
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Elizabeth Bigman
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Giuseppina Imperatore
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Christopher Holliday
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Ping Zhang
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
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Eichelmann F, Prada M, Sellem L, Jackson KG, Salas Salvadó J, Razquin Burillo C, Estruch R, Friedén M, Rosqvist F, Risérus U, Rexrode KM, Guasch-Ferré M, Sun Q, Willett WC, Martinez-Gonzalez MA, Lovegrove JA, Hu FB, Schulze MB, Wittenbecher C. Lipidome changes due to improved dietary fat quality inform cardiometabolic risk reduction and precision nutrition. Nat Med 2024:10.1038/s41591-024-03124-1. [PMID: 38992128 DOI: 10.1038/s41591-024-03124-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 06/11/2024] [Indexed: 07/13/2024]
Abstract
Current cardiometabolic disease prevention guidelines recommend increasing dietary unsaturated fat intake while reducing saturated fats. Here we use lipidomics data from a randomized controlled dietary intervention trial to construct a multilipid score (MLS), summarizing the effects of replacing saturated fat with unsaturated fat on 45 lipid metabolite concentrations. In the EPIC-Potsdam cohort, a difference in the MLS, reflecting better dietary fat quality, was associated with a significant reduction in the incidence of cardiovascular disease (-32%; 95% confidence interval (95% CI): -21% to -42%) and type 2 diabetes (-26%; 95% CI: -15% to -35%). We built a closely correlated simplified score, reduced MLS (rMLS), and observed that beneficial rMLS changes, suggesting improved dietary fat quality over 10 years, were associated with lower diabetes risk (odds ratio per standard deviation of 0.76; 95% CI: 0.59 to 0.98) in the Nurses' Health Study. Furthermore, in the PREDIMED trial, an olive oil-rich Mediterranean diet intervention primarily reduced diabetes incidence among participants with unfavorable preintervention rMLS levels, suggestive of disturbed lipid metabolism before intervention. Our findings indicate that the effects of dietary fat quality on the lipidome can contribute to a more precise understanding and possible prediction of the health outcomes of specific dietary fat modifications.
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Affiliation(s)
- Fabian Eichelmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
- German Center for Diabetes Research (DZD), Neuherberg, Germany.
| | - Marcela Prada
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Laury Sellem
- Hugh Sinclair Unit of Human Nutrition, Institute for Cardiovascular and Metabolic Research and Institute for Food, Nutrition and Health, Reading, UK
| | - Kim G Jackson
- Hugh Sinclair Unit of Human Nutrition, Institute for Cardiovascular and Metabolic Research and Institute for Food, Nutrition and Health, Reading, UK
| | - Jordi Salas Salvadó
- Human Nutrition Unit, Department of Biochemistry and Biotechnology, Institut d'Investigació Sanitària Pere Virgili, Universitat Rovira i Virgili, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Cristina Razquin Burillo
- Human Nutrition Unit, Department of Biochemistry and Biotechnology, Institut d'Investigació Sanitària Pere Virgili, Universitat Rovira i Virgili, Reus, Spain
- Department of Preventive Medicine and Public Health, IdiSNA (Instituto de Investigación Sanitaria de Navarra), University of Navarra, Pamplona, Spain
| | - Ramon Estruch
- Human Nutrition Unit, Department of Biochemistry and Biotechnology, Institut d'Investigació Sanitària Pere Virgili, Universitat Rovira i Virgili, Reus, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Michael Friedén
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Frederik Rosqvist
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Ulf Risérus
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Kathryn M Rexrode
- Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Marta Guasch-Ferré
- Department of Public Health and Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Walter C Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Miguel Angel Martinez-Gonzalez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, IdiSNA (Instituto de Investigación Sanitaria de Navarra), University of Navarra, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Julie A Lovegrove
- Hugh Sinclair Unit of Human Nutrition, Institute for Cardiovascular and Metabolic Research and Institute for Food, Nutrition and Health, Reading, UK
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Clemens Wittenbecher
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
- Department of Life Sciences, SciLifeLab, Chalmers University of Technology, Gothenburg, Sweden.
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McManus E. Evaluating the Long-Term Cost-Effectiveness of the English NHS Diabetes Prevention Programme using a Markov Model. PHARMACOECONOMICS - OPEN 2024; 8:569-583. [PMID: 38643282 PMCID: PMC11252105 DOI: 10.1007/s41669-024-00487-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/14/2024] [Indexed: 04/22/2024]
Abstract
BACKGROUND In 2016, England launched the largest nationwide diabetes mellitus prevention programme, the NHS Diabetes Prevention Programme (NHS DPP). This paper seeks to evaluate the long-term cost-effectiveness of this programme. METHODS A Markov cohort state transition model was developed with a 35-year time horizon and yearly cycles to compare referral to the NHS DPP to usual care for individuals with non-diabetic hyperglycaemia. The modelled cohort of individuals mirrored the age profile of referrals received by the programme by April 2020. A health system perspective was taken, with costs in UK £ Sterling (price year 2020) and outcomes in terms of quality-adjusted life-years (QALYs). Probabilistic analysis with 10,000 Monte Carlo simulations was used. Several sensitivity analyses were conducted to explore the uncertainty surrounding the base case results, particularly varying the length of time for which the effectiveness of the programme was expected to last. RESULTS In the base case, using only the observed effectiveness of the NHS DPP at 3 years, it was found that the programme is likely to dominate usual care, by generating on average 40.8 incremental QALYs whilst saving £135,755 in costs for a cohort of 1000. At a willingness to pay of £20,000 per QALY, 98.1% of simulations were on or under the willingness-to-pay threshold. Scaling this up to the number of referrals actually received by the NHS DPP prior to April 2020, cost savings of £71.4 million were estimated over the 35-year time horizon and an additional 21,472 QALYs generated. These results are robust to several sensitivity analyses. CONCLUSION The NHS DPP is likely to be cost-effective. Indeed, in the majority of the simulations, the NHS DPP was cost-saving and generated greater QALYs, dominating usual care. This research should serve as evidence to support the continued investment or recommissioning of diabetes prevention programmes.
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Affiliation(s)
- Emma McManus
- Health Organisation, Policy and Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Suite 12, Floor 7, Williamson Building, Oxford Road, Manchester, M13 9PL, UK.
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8
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Lloyd M, Temple VA, Foley JT, Yeatman S, Lunsky Y, Huang A, Balogh R. Participation in Special Olympics reduces the rate for developing diabetes in adults with intellectual and developmental disabilities. Diabet Med 2024:e15393. [PMID: 38925549 DOI: 10.1111/dme.15393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 06/03/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024]
Abstract
AIM Adults with intellectual and developmental disabilities (IDD) have a significantly higher prevalence of Type 2 diabetes than the general population. Evidence that lifestyle and/or behavioural interventions, such as participation in Special Olympics, decreases the risk of developing diabetes in adults with IDD could help minimize health disparities and promote overall health in this population. METHODS This was a 20-year retrospective cohort study of adults with IDD (30-39 years) in the province of Ontario, Canada, that compared hazard rates of diabetes among Special Olympics participants (n = 4145) to non-participants (n = 31,009) using administrative health databases housed at ICES. Using cox proportional hazard models, crude and adjusted hazard ratios were calculated for the association between the primary independent variable (Special Olympics participation status) and the dependent variable (incident diabetes cases). RESULTS After controlling for other variables, the hazard ratio comparing rates for developing diabetes between Special Olympics participants and non-participants was 0.85. This represents a 15% reduction in the hazard among Special Olympics participants when followed for up to 20 years. This result was statistically significant and represents a small effect size. CONCLUSIONS Special Olympics could be considered a complex intervention that promotes physical activity engagement through sport participation, health screenings, and the promotion of healthy eating habits through educational initiatives. This study provides evidence that Special Olympics participation decreases the rate for developing diabetes.
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Affiliation(s)
- Meghann Lloyd
- Ontario Tech University, Faculty of Health Sciences, Ontario, Canada
| | - Viviene A Temple
- University of Victoria, School of Exercise Science, Physical and Health Education, Victoria, British Columbia, Canada
| | - John T Foley
- SUNY Cortland, Department of Physical Education, Cortland, New York, USA
| | - Sharyn Yeatman
- Ontario Tech University, Faculty of Health Sciences, Ontario, Canada
| | - Yona Lunsky
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
| | | | - Robert Balogh
- Ontario Tech University, Faculty of Health Sciences, Ontario, Canada
- ICES, Toronto, Ontario, Canada
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Henson-Garcia M, Malthaner LQ, Jetelina KK, Mackert M, Allicock M, McKay S. Toward Tailored and Targeted Communication for the Promotion of Firearm Safety: A Qualitative Study With Firearm Retailers. Psychol Rep 2024:332941241256880. [PMID: 38819964 DOI: 10.1177/00332941241256880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/02/2024]
Abstract
Firearm injury is a major yet understudied public health issue in the U.S. This qualitative study explored firearm retailers' perspectives to inform messaging and communication approaches to promote firearm safety among the gun owning population. Semi-structured interviews were conducted with 17 retailers at a single gun shop in Texas. Thematic analysis identified key themes related to (1) audience segmentation, (2) appropriate use of language, and (3) trusted messengers and modalities for the communication of firearm safety information. This formative work provides practical insights to optimize public health messaging in this arena and ultimately reduce firearm injuries. Overall, this study provides valuable insights to guide the development and implementation of evidence-based, social marketing efforts aiming to promote firearm safety across various gun-owning audiences.
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Affiliation(s)
- Mike Henson-Garcia
- Department of Health Promotion and Behavioral Sciences, University of Texas Health Science Center at Houston (UTHealth Houston), School of Public Health, Dallas Regional Campus, Dallas, TX, USA
- McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX, USA
| | - Lauren Q Malthaner
- Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center at Houston (UTHealth Houston), School of Public Health, Dallas Regional Campus, Dallas, TX, USA
| | - Katelyn K Jetelina
- Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center at Houston (UTHealth Houston), School of Public Health, Dallas Regional Campus, Dallas, TX, USA
| | - Michael Mackert
- The Stan Richards School of Advertising and Public Relations, University of Texas at Austin, Austin, TX, USA
| | - Marlyn Allicock
- Department of Health Promotion and Behavioral Sciences, University of Texas Health Science Center at Houston (UTHealth Houston), School of Public Health, Dallas Regional Campus, Dallas, TX, USA
| | - Sandra McKay
- McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX, USA
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10
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Kengne AP, Ramachandran A. Feasibility of prevention of type 2 diabetes in low- and middle-income countries. Diabetologia 2024; 67:763-772. [PMID: 38355989 PMCID: PMC10954968 DOI: 10.1007/s00125-023-06085-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 11/17/2023] [Indexed: 02/16/2024]
Abstract
Type 2 diabetes is a leading cause of global mortality and morbidity. Nearly 80% of individuals with diabetes live in low- and middle-income countries (LMICs), where nearly half of those with the condition remain undiagnosed. The majority of known cases have sub-optimal clinical outcomes. Moreover, large populations with impaired glucose tolerance and/or impaired fasting glucose contribute to the rapid increase in type 2 diabetes. Globally, priority should be given to limit the population with diabetes, especially in LMICs, alongside actions to optimise the care of people diagnosed with diabetes. Primary prevention studies in LMICs have generated evidence to show the efficacy and scalability of strategies to fully prevent or delay the development of diabetes in high-risk groups. However, these are mainly limited to certain countries in Asia, particularly China and India. The studies have indicated that prevention policies are effective in populations with a high risk of type 2 diabetes, and they also have long-term benefits, not only for the risk of type 2 diabetes but also for the risk of associated metabolic disorders, such as CVDs. For the effective conduct of national programmes, innovative mechanisms must be implemented, such as the use of information technology, joint efforts of multiple teams implementing similar programmes, and involvement of governmental and non-governmental partnerships. Continuous monitoring and long-term studies are required to assess the utility of these programmes. The effectiveness of such programmes in LMICs has not been proven over the longer term, except in China. Despite the available evidence, the feasibility of prevention strategies for type 2 diabetes in LMICs at population level remains an enigma. There remain challenges in the form of cultural, societal and economic constraints; insufficient infrastructure and healthcare capacity; and the non-fully elucidated natural history and determinants of type 2 diabetes in LMICs.
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Affiliation(s)
- Andre P Kengne
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa.
- Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
- Department of Biological and Environmental Sciences, Faculty of Natural Sciences, Walter Sisulu University, Mthatha, South Africa.
| | - Ambady Ramachandran
- Indian Diabetes Research Foundation, Chennai, India
- Dr. A. Ramachandran's Diabetes Hospitals, Chennai, India
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11
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Chakkalakal RJ, Galaviz KI, Thirunavukkarasu S, Shah MK, Narayan KMV. Test and Treat for Prediabetes: A Review of the Health Effects of Prediabetes and the Role of Screening and Prevention. Annu Rev Public Health 2024; 45:151-167. [PMID: 38109519 DOI: 10.1146/annurev-publhealth-060222-023417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
The term prediabetes describes blood glucose levels above the normal range but below the threshold to diagnose type 2 diabetes. Several population health initiatives encourage a test and treat approach for prediabetes. In this approach, screening and identification of individuals with prediabetes should be followed by prompt referral to structured lifestyle modification programs or pharmacologic interventions that have been shown to prevent or delay the progression to type 2 diabetes in clinical trials. Here we provide a critical review of evidence for this test and treat approach by examining health outcomes associated with prediabetes and the availability and effectiveness of lifestyle modification approaches that target prediabetes. We also describe current limitations to the reach and uptake of evidence-based treatment options for prediabetes. Finally, we highlight lessons learned from identifying and labeling other preconditions to consider challenges and opportunities that may arise with increasing awareness of prediabetes as part of routine preventive care.
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Affiliation(s)
- Rosette J Chakkalakal
- Department of Medicine, Emory University School of Medicine, Emory University, Atlanta, Georgia, USA;
- Department of Family and Preventive Medicine, Emory University School of Medicine, Emory University, Atlanta, Georgia, USA
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, USA
| | - Karla I Galaviz
- Indiana University School of Public Health-Bloomington, Indiana University, Bloomington, Indiana, USA
| | - Sathish Thirunavukkarasu
- Department of Family and Preventive Medicine, Emory University School of Medicine, Emory University, Atlanta, Georgia, USA
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, USA
| | - Megha K Shah
- Department of Family and Preventive Medicine, Emory University School of Medicine, Emory University, Atlanta, Georgia, USA
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, USA
| | - K M Venkat Narayan
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, USA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
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12
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Adejumo OA, Ogunbiyi EO, Fornili KS, Chen LY, Makanjuola AB, Ernest SK. Peer Facilitator Training for Diabetes Prevention in a Nigerian Drug Treatment Center. J Addict Nurs 2024; 35:67-75. [PMID: 38829996 DOI: 10.1097/jan.0000000000000575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2024]
Abstract
INTRODUCTION AND BACKGROUND Individuals with substance use disorders (SUDs) are at an increased risk of developing comorbid medical conditions, including Type 2 diabetes. Although the diabetes prevention program (DPP) is efficacious and cost-effective, there is no published evidence to support its implementation in Nigeria or within SUD treatment settings. In this first known DPP within an SUD treatment program, we implemented a multiphased, nurse-led DPP at a small outpatient drug treatment center in Nigeria. The aim of this article was to describe only the processes utilized for the initial peer facilitator (PF) training (Phase 1). METHODS In Phase 1, a diabetes prevention master trainer delivered a virtual DPP training to the facility's lead nurse, who return-demonstrated the DPP workshop skills and competencies over four 4-hour sessions. The lead nurse then independently delivered four 8-hour training sessions to a small number of client volunteers (n = 4) who subsequently delivered the DPP lifestyle interventions to their peers in the outpatient treatment program. RESULTS The client volunteers attended all PF workshop sessions and were observed to be proficient in all aspects of implementation. They indicated that the training objectives were easily achieved and expressed enthusiasm for delivering DPP content to their peers. The need to better contextualize the DPP curriculum specific to Nigerian food preferences was identified. CONCLUSION The Phase 1 training process appears to be an appropriate and effective approach for preparing PFs to deliver health programs, like the DPP, in environments with limited resources for populations facing numerous challenges.
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Kazibwe J, Gad M, Abassah-Konadu E, Amankwah I, Owusu R, Gulbi G, Torres-Rueda S, Asare B, Vassall A, Ruiz F. The epidemiological and economic burden of diabetes in Ghana: A scoping review to inform health technology assessment. PLOS GLOBAL PUBLIC HEALTH 2024; 4:e0001904. [PMID: 38470940 DOI: 10.1371/journal.pgph.0001904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 02/16/2024] [Indexed: 03/14/2024]
Abstract
Diabetes remains one of the four major causes of morbidity and mortality globally among non-communicable diseases (NCDs. It is predicted to increase in sub-Saharan Africa by over 50% by 2045. The aim of this study is to identify, map and estimate the burden of diabetes in Ghana, which is essential for optimising NCD country policy and understanding existing knowledge gaps to guide future research in this area. We followed the Arksey and O'Malley framework for scoping reviews. We searched electronic databases including Medline, Embase, Web of Science, Scopus, Cochrane and African Index Medicus following a systematic search strategy. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews was followed when reporting the results. A total of 36 studies were found to fulfil the inclusion criteria. The reported prevalence of diabetes at national level in Ghana ranged between 2.80%- 3.95%. At the regional level, the Western region reported the highest prevalence of diabetes: 39.80%, followed by Ashanti region (25.20%) and Central region at 24.60%. The prevalence of diabetes was generally higher in women in comparison to men. Urban areas were found to have a higher prevalence of diabetes than rural areas. The mean annual financial cost of managing one diabetic case at the outpatient clinic was estimated at GHS 540.35 (2021 US $194.09). There was a paucity of evidence on the overall economic burden and the regional prevalence burden. Ghana is faced with a considerable burden of diabetes which varies by region and setting (urban/rural). There is an urgent need for effective and efficient interventions to prevent the anticipated elevation in burden of disease through the utilisation of existing evidence and proven priority-setting tools like Health Technology Assessment (HTA).
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Affiliation(s)
- Joseph Kazibwe
- Department of Global Health and Development, London School of Hygiene and Tropical Medicine (LSHTM), London, United Kingdom
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Mohamed Gad
- Department of Global Health and Development, London School of Hygiene and Tropical Medicine (LSHTM), London, United Kingdom
| | | | - Ivy Amankwah
- Pharmacy Directorate, Ministry of Health, Accra, Ghana
| | - Richmond Owusu
- School of Public Health, University of Ghana, Accra, Ghana
| | - Godwin Gulbi
- School of Public Health, University of Ghana, Accra, Ghana
| | - Sergio Torres-Rueda
- Department of Global Health and Development, London School of Hygiene and Tropical Medicine (LSHTM), London, United Kingdom
| | - Brian Asare
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Anna Vassall
- Department of Global Health and Development, London School of Hygiene and Tropical Medicine (LSHTM), London, United Kingdom
| | - Francis Ruiz
- Department of Global Health and Development, London School of Hygiene and Tropical Medicine (LSHTM), London, United Kingdom
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14
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Xiong Y, Huo Z, Wong SYS, Yip BHK. Cost effectiveness of nonpharmacological prevention programs for diabetes: A systematic review of trial-based studies. Chronic Dis Transl Med 2024; 10:12-21. [PMID: 38450300 PMCID: PMC10914011 DOI: 10.1002/cdt3.89] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 06/15/2023] [Accepted: 07/11/2023] [Indexed: 03/08/2024] Open
Abstract
Trial-based economic value of prevention programs for diabetes is inexplicit. We aimed to review the cost-effectiveness of nonpharmacological interventions to prevent type-2 diabetes mellitus (T2DM) for high-risk people. Six electronic databases were searched up to March 2022. Studies assessing both the cost and health outcomes of nonpharmacological interventions for people at high-risk of T2DM were included. The quality of the study was assessed by the Consolidated Health Economic Evaluation Reporting Standards 2022 checklist. The primary outcome for synthesis was incremental cost-effectiveness ratios (ICER) for quality-adjusted life years (QALYs), and costs were standardized in 2022 US dollars. Narrative synthesis was performed, considering different types and delivery methods of interventions. Sixteen studies included five based on the US diabetes prevention program (DPP), six on non-DPP-based lifestyle interventions, four on health education, and one on screening plus lifestyle intervention. Compared with usual care, lifestyle interventions showed higher potential of cost-effectiveness than educational interventions. Among lifestyle interventions, DPP-based programs were less cost-effective (median of ICERs: $27,077/QALY) than non-DPP-based programs (median of ICERs: $1395/QALY) from healthcare perspectives, but with larger decreases in diabetes incidence. Besides, the cost-effectiveness of interventions was more possibly realized through the combination of different delivery methods. Different interventions to prevent T2DM in high-risk populations are both cost-effective and feasible in various settings. Nevertheless, economic evidence from low- and middle-income countries is still lacking, and interventions delivered by trained laypersons and combined with peer support sessions or mobile technologies could be potentially a cost-effective solution in such settings with limited resources.
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Affiliation(s)
- Yongyi Xiong
- Jockey Club School of Public Health and Primary Care, Prince of Wales HospitalThe Chinese University of Hong KongShatinHong KongChina
| | - Zhaohua Huo
- Jockey Club School of Public Health and Primary Care, Prince of Wales HospitalThe Chinese University of Hong KongShatinHong KongChina
| | - Samuel Y. S. Wong
- Jockey Club School of Public Health and Primary Care, Prince of Wales HospitalThe Chinese University of Hong KongShatinHong KongChina
| | - Benjamin H. K. Yip
- Jockey Club School of Public Health and Primary Care, Prince of Wales HospitalThe Chinese University of Hong KongShatinHong KongChina
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15
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Eades-Brown NT, Oguntoye AO, Aldossary D, Ezenwa MO, Duckworth L, Dede D, Johnson-Mallard V, Yao1 Y, Gallo A, Wilkie DJ. Adherence to a reproductive health intervention for young adults with sickle cell. J Am Assoc Nurse Pract 2024:01741002-990000000-00207. [PMID: 38408228 PMCID: PMC11339234 DOI: 10.1097/jxx.0000000000000997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 12/29/2023] [Indexed: 02/28/2024]
Abstract
BACKGROUND The CHOICES intervention is tailored specifically for young adults with sickle cell disease (SCD) or sickle cell trait (SCT). The face-to-face (F2F) delivery format is feasible with efficacy for improving knowledge about reproductive health for those with SCD or SCT. PURPOSE The purpose of the study was to compare the participant adherence to a remote online CHOICES intervention study (N = 107) and a F2F CHOICES intervention study (N = 234). METHODOLOGY In both studies, participants with SCD or SCT were randomized into experimental or usual care control groups. Descriptive statistics were collected for all participants by group in both studies. Adherence was measured by retention at each data collection time point. Independent t-tests were conducted to compare mean participant adherence of the F2F and online studies postbaseline (6, 12, 18, and 24 months). RESULTS There was a significant difference in mean adherence postbaseline between the studies (p = .005). The results suggest that more research is necessary for proper online participant retention. CONCLUSION Advance practice nurses that are well informed on CHOICES can transmit the availability of this evidence-based intervention to this special population. Special referral for the CHOICES intervention, which is tailored specifically for young adults with SCD or SCT, may increase adherence to the intervention if it comes from trusted health care providers. IMPLICATIONS Nurse practitioners are educators in primary and acute care settings. Encounters with reproductive age populations with SCD or SCT can occur in both settings.
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Affiliation(s)
| | | | - Dalal Aldossary
- College of Nursing, University of Florida, Gainesville, Florida
- Department of Nursing Fundamentals, College of Nursing, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | | | | | - Duane Dede
- College of Public Health and Health Professions, University of Florida, Gainesville, Florida
| | | | - Yingwei Yao1
- College of Nursing, University of Florida, Gainesville, Florida
| | - Agatha Gallo
- Department of Human Development Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, USA
| | - Diana J. Wilkie
- College of Nursing, University of Florida, Gainesville, Florida
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16
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Lihme F, Savu A, Basit S, Sia W, Yeung R, Barrett O, Luoma L, Ngwezi DP, Davidge S, Norris CM, Ospina MB, Cooke C, Greiner R, Wohlfahrt J, Melbye M, Lykke J, Kaul P, Boyd HA. Time trends in preeclampsia and gestational diabetes in Denmark and Alberta, Canada, 2005-2018-A population-based cohort study. Acta Obstet Gynecol Scand 2024; 103:266-275. [PMID: 37948551 PMCID: PMC10823392 DOI: 10.1111/aogs.14703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 09/22/2023] [Accepted: 10/08/2023] [Indexed: 11/12/2023]
Abstract
INTRODUCTION Preeclampsia and gestational diabetes mellitus share risk factors such as obesity and increased maternal age, which have become more prevalent in recent decades. We examined changes in the prevalence of preeclampsia and gestational diabetes between 2005 and 2018 in Denmark and Alberta, Canada, and investigated whether the observed trends can be explained by changes in maternal age, parity, multiple pregnancy, comorbidity, and body mass index (BMI) over time. MATERIAL AND METHODS This study was a register-based cohort study conducted using data from the Danish National Health Registers and the provincial health registers of Alberta, Canada. We included in the study cohort all pregnancies in 2005-2018 resulting in live-born infants and used binomial regression to estimate mean annual increases in the prevalence of preeclampsia and gestational diabetes in the two populations across the study period, adjusted for maternal characteristics. RESULTS The study cohorts included 846 127 (Denmark) and 706 728 (Alberta) pregnancies. The prevalence of preeclampsia increased over the study period in Denmark (2.5% to 2.9%) and Alberta (1.7% to 2.5%), with mean annual increases of 0.03 (95% confidence interval [CI] 0.02-0.04) and 0.06 (95% CI 0.05-0.07) percentage points, respectively. The prevalence of gestational diabetes also increased in Denmark (1.9% to 4.6%) and Alberta (3.9% to 9.2%), with average annual increases of 0.20 (95% CI 0.19-0.21) and 0.44 (95% CI 0.42-0.45) percentage points. Changes in the distributions of maternal age and BMI contributed to increases in the prevalence of both conditions but could not explain them entirely. CONCLUSIONS The prevalence of both preeclampsia and gestational diabetes increased significantly from 2005 to 2018, which portends future increases in chronic disease rates among affected women. Increasing demand for long-term follow up and care will amplify the existing pressure on healthcare systems.
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Affiliation(s)
- Frederikke Lihme
- Department of Epidemiology ResearchStatens Serum InstitutCopenhagenDenmark
| | - Ana Savu
- Canadian VIGOUR CenterUniversity of AlbertaEdmontonCanada
| | - Saima Basit
- Department of Epidemiology ResearchStatens Serum InstitutCopenhagenDenmark
| | - Winnie Sia
- Department of MedicineUniversity of AlbertaEdmontonCanada
| | - Rose Yeung
- Department of MedicineUniversity of AlbertaEdmontonCanada
| | | | - Leiah Luoma
- Canadian VIGOUR CenterUniversity of AlbertaEdmontonCanada
| | | | - Sandra Davidge
- Departments of Obstetrics/Gynecology and PhysiologyUniversity of AlbertaEdmontonCanada
| | - Colleen M. Norris
- Department of MedicineUniversity of AlbertaEdmontonCanada
- Faculty of NursingUniversity of AlbertaEdmontonCanada
- Women & Children Research InstituteUniversity of AlbertaEdmontonCanada
| | - Maria B. Ospina
- Department of Public Health SciencesQueen's UniversityKingstonOntarioCanada
| | - Christy‐Lynn Cooke
- Departments of Obstetrics/Gynecology and PhysiologyUniversity of AlbertaEdmontonCanada
| | - Russ Greiner
- Department of Computer ScienceUniversity of AlbertaEdmontonCanada
| | - Jan Wohlfahrt
- Department of Epidemiology ResearchStatens Serum InstitutCopenhagenDenmark
- Danish Cancer Society Research CenterCopenhagenDenmark
| | - Mads Melbye
- Danish Cancer Society Research CenterCopenhagenDenmark
| | - Jacob Lykke
- Department of Obstetrics and GynecologyRigshospitaletCopenhagenDenmark
| | - Padma Kaul
- Canadian VIGOUR CenterUniversity of AlbertaEdmontonCanada
- Department of MedicineUniversity of AlbertaEdmontonCanada
| | - Heather A. Boyd
- Department of Epidemiology ResearchStatens Serum InstitutCopenhagenDenmark
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17
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Powter H, Lambert K, Nicholls N. Experiences and perspectives of integrating nutrition education into an exercise program for people with chronic medical conditions. Health Promot J Austr 2024. [PMID: 38200682 DOI: 10.1002/hpja.841] [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: 04/13/2023] [Revised: 12/19/2023] [Accepted: 01/02/2024] [Indexed: 01/12/2024] Open
Abstract
ISSUE ADDRESSED Community-based healthy eating and exercise programs are effective interventions to support some people with chronic conditions. This research aimed to explore the experiences and perceptions of participants regarding the integration of nutrition education into a successful group based exercise program for people with chronic medical conditions. METHODS Semi-structured interviews were conducted with past participants of a community based group exercise program (Health Moves) with embedded nutrition advice based in a regional area of New South Wales. A total of 60 individuals who had participated in the Health Moves program between 2017 and 2019 were invited to participate and 19 (32%) randomly selected participants consented to be interviewed. Interviews explored participants' experiences, program impacts, and barriers to sustaining changes post program. Similar concepts and patterns were grouped into themes. RESULTS Four themes were identified that described the experiences with a community-based group exercise intervention with a nutrition component. The major themes evident were that Health Moves facilitated motivation (via access to health professionals, peer support, accountability, affordability); and there were challenges identified to sustaining change (including cost, comorbidities, end of program support, environmental factors); Nutrition advice was valuable for some but not for all (difficulty recalling nutrition components, superficial coverage) Practical and interactive nutrition advice is desired. CONCLUSIONS Participants expressed a high degree of satisfaction with the program but require ongoing support to sustain changes post program. The position and integration of nutrition education within this exercise program was perceived by participants to be suboptimal. Increased access to practical, interactive nutrition education components may improve participant satisfaction and engagement. SO WHAT?: Key findings from this research include a desire for removal of didactic nutrition education sessions and request for increased peer support. Modifications to the program include the integration of interactive self-paced nutrition modules. Peer support partnerships are now encouraged by trainers to support ongoing motivation of participants to keep training together outside the structured exercise program and transition to managing their own exercise routine. Discussions between organisations involved about ongoing pathway/program support or reduced cost 'off peak' gym membership is underway to help with costs incurred by participants.
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Affiliation(s)
- Hannah Powter
- School of Medical, Indigenous and Health Sciences, University of Wollongong, Wollongong, New South Wales, Australia
| | - Kelly Lambert
- School of Medical, Indigenous and Health Sciences, University of Wollongong, Wollongong, New South Wales, Australia
| | - Natalie Nicholls
- Diabetes Service, Illawarra Shoalhaven Local Health District (ISLHD), Wollongong, New South Wales, Australia
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18
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Namazi N, Moghaddam SS, Esmaeili S, Peimani M, Tehrani YS, Bandarian F, Shobeiri P, Nasli-Esfahani E, Malekpour MR, Rezaei N, Rezaei N, Arjmand B, Larijani B, Farzadfar F. Burden of type 2 diabetes mellitus and its risk factors in North Africa and the Middle East, 1990-2019: findings from the Global Burden of Disease study 2019. BMC Public Health 2024; 24:98. [PMID: 38183083 PMCID: PMC10768242 DOI: 10.1186/s12889-023-16540-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Accepted: 08/16/2023] [Indexed: 01/07/2024] Open
Abstract
BACKGROUND The prevalence of Type 2 Diabetes Mellitus (T2DM) in the North Africa and Middle East region is alarmingly high, prompting us to investigate the burden and factors contributing to it through the GBD study. Additionally, there is a lack of knowledge about the epidemiological status of T2DM in this region, so our aim is to provide a comprehensive overview of the burden of T2DM and its associated risk factors. METHODS Using data from the 2019 Global Burden of Disease Study, we calculated the attributable burden of T2DM for each of the 21 countries in the region for the years 1990 and 2019. This included prevalence, mortality, disability-adjusted life years (DALYs), and risk factors. RESULTS Between 1990 and 2019, there was a significant increase in the age-standardized incidence (79.6%; 95% Uncertainty Interval: 75.0 to 84.5) and prevalence (85.5%; [80.8 to 90.3]) rates of T2DM per 100,000 populations. The age-standardized mortality rate (1.7%; [-10.4 to 14.9]), DALYs (31.2%; [18.3 to 42.2]), and years lived with disability (YLDs) (82.6%; [77.2 to 88.1]) also increased during this period. Modifiable risk factors, such as high body mass index (56.4%; [42.8 to 69.8]), low physical activity (15.5%; [9.0 to 22.8]), and ambient particulate matter pollution (20.9%; [15.2 to 26.2]), were the main contributors to the number of deaths. CONCLUSION The burden of T2DM, in terms of mortality, DALYs, and YLDs, continues to rise in the region. The incidence rate of T2DM has increased in many areas. The burden of T2DM attributed to modifiable risk factors continues to grow in most countries. Targeting these modifiable risk factors could effectively reduce the growth and disease burden of T2DM in the region.
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Affiliation(s)
- Nazli Namazi
- Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Sahar Saeedi Moghaddam
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Shahnaz Esmaeili
- Metabolic Disorders Research Center, Endocrinology and Metabolism Molecular -Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Peimani
- Cell Therapy and Regenerative Medicine Research Center, Endocrinology and Metabolism, Molecular Cellular Sciences Institute, Tehran University of Medical Science, Tehran, Iran
| | - Yeganeh Sharifnejad Tehrani
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Bandarian
- Metabolomics and Genomics Research Center Endocrinology and Metabolism Molecular- Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Parnian Shobeiri
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Ensieh Nasli-Esfahani
- Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | - Mohammad-Reza Malekpour
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Negar Rezaei
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Nazila Rezaei
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Babak Arjmand
- Cell Therapy and Regenerative Medicine Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran, Iran
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | - Farshad Farzadfar
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
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Cao X, Yu H, Quan Y, Qin J, Zhao Y, Yang X, Gao S. An overview of environmental risk factors for type 2 diabetes research using network science tools. Digit Health 2024; 10:20552076241271722. [PMID: 39114112 PMCID: PMC11304486 DOI: 10.1177/20552076241271722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 06/04/2024] [Indexed: 08/10/2024] Open
Abstract
Objective Current studies lack a comprehensive understanding of the environmental factors influencing type 2 diabetes, hindering an in-depth grasp of the overall etiology. To address this gap, we utilized network science tools to highlight research trends, knowledge structures, and intricate relationships among factors, offering a new perspective for a profound understanding of the etiology. Methods The Web of Science database was employed to retrieve documents relevant to environmental risk factors in type 2 diabetes from 2012 to 2024. Bibliometric analysis using Microsoft Excel and OriginPro provided a detailed scientific production profile, including articles, journals, countries, and authors. Co-occurrence analysis was employed to determine the collaboration state and knowledge structures, utilizing social network tools such as Gephi, Tableau, and R Studio. Additionally, theme evolutionary analysis was conducted using SciMAT to offer insights into research trends. Results The publications and themes related to environmental factors in type 2 diabetes have consistently risen, shaping a well-established research domain. Lifestyle environmental factors, particularly diet and nutrition, stand out as the most represented and rapidly growing topics. Key focal hotspots include sedentary and digital behavior, PM2.5, ethnicity and socioeconomic status, traffic and greenspace, and depression. The theme evolutionary analysis revealed three distinct paths: (1) oxidative stress-air pollutants-PM2.5-air pollutants; (2) calcium-metabolic syndrome-cardiovascular disease; and (3) polychlorinated biphenyls (PCBs)-persistent organic pollutants (POPs)-obesity. Conclusions Digital behavior signifies a novel approach for preventing and managing type 2 diabetes. The influence of PM2.5 and calcium on oxidative stress and abnormal vascular contraction is intricately linked to microvascular diabetes complications. The transition from PCBs and POPs to obesity underscores the disruption of endocrine function by chemicals, elevating the risk of diabetes. Future studies should explore the connections between environmental factors, microvascular complications, and long-term outcomes in diabetes.
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Affiliation(s)
- Xia Cao
- Department of Data Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
- School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China
| | - Huixin Yu
- Department of Data Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yu Quan
- Department of Data Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
- Department of Computer Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Jing Qin
- Shenyang Medical College, Shenyang, Liaoning, China
| | - Yuhong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Xiaochun Yang
- Software College of Northeastern University, Shenyang, Liaoning, China
| | - Shanyan Gao
- Department of Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
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20
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Gaglia JL, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Selvin E, Stanton RC, Gabbay RA. 3. Prevention or Delay of Diabetes and Associated Comorbidities: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S43-S51. [PMID: 38078581 PMCID: PMC10725807 DOI: 10.2337/dc24-s003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Kranz RM, Kettler C, Koeder C, Husain S, Anand C, Schoch N, Englert H. Health Economic Evaluation of a Controlled Lifestyle Intervention: The Healthy Lifestyle Community Program (Cohort 2; HLCP-2). Nutrients 2023; 15:5045. [PMID: 38140304 PMCID: PMC10745766 DOI: 10.3390/nu15245045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 12/01/2023] [Accepted: 12/06/2023] [Indexed: 12/24/2023] Open
Abstract
Non-communicable diseases (NCD) are associated with high costs for healthcare systems. We evaluated changes in total costs, comprising direct and indirect costs, due to a 24-month non-randomized, controlled lifestyle intervention trial with six measurement time points aiming to improve the risk profile for NCDs. Overall, 187 individuals from the general population aged ≥18 years were assigned to either the intervention group (IG; n = 112), receiving a 10-week intensive lifestyle intervention focusing on a healthy, plant-based diet; physical activity; stress management; and community support, followed by a 22-month follow-up phase including monthly seminars, or a control group (CG; n = 75) without intervention. The complete data sets of 118 participants (IG: n = 79; CG: n = 39) were analyzed. At baseline, total costs per person amounted to 67.80 ± 69.17 EUR in the IG and 48.73 ± 54.41 EUR in the CG per week. The reduction in total costs was significantly greater in the IG compared to the CG after 10 weeks (p = 0.012) and 6 months (p = 0.004), whereas direct costs differed significantly after 10 weeks (p = 0.017), 6 months (p = 0.041) and 12 months (p = 0.012) between the groups. The HLCP-2 was able to reduce health-related economic costs, primarily due to the reduction in direct costs.
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Affiliation(s)
- Ragna-Marie Kranz
- Department of Food, Nutrition, Facilities, University of Applied Sciences Münster, 48149 Münster, Germany; (C.K.); (C.K.); (S.H.); (C.A.); (N.S.); (H.E.)
- Institute of Nutrition, Consumption and Health, Faculty of Natural Sciences, Paderborn University, 33098 Paderborn, Germany
| | - Carmen Kettler
- Department of Food, Nutrition, Facilities, University of Applied Sciences Münster, 48149 Münster, Germany; (C.K.); (C.K.); (S.H.); (C.A.); (N.S.); (H.E.)
| | - Christian Koeder
- Department of Food, Nutrition, Facilities, University of Applied Sciences Münster, 48149 Münster, Germany; (C.K.); (C.K.); (S.H.); (C.A.); (N.S.); (H.E.)
| | - Sarah Husain
- Department of Food, Nutrition, Facilities, University of Applied Sciences Münster, 48149 Münster, Germany; (C.K.); (C.K.); (S.H.); (C.A.); (N.S.); (H.E.)
| | - Corinna Anand
- Department of Food, Nutrition, Facilities, University of Applied Sciences Münster, 48149 Münster, Germany; (C.K.); (C.K.); (S.H.); (C.A.); (N.S.); (H.E.)
| | - Nora Schoch
- Department of Food, Nutrition, Facilities, University of Applied Sciences Münster, 48149 Münster, Germany; (C.K.); (C.K.); (S.H.); (C.A.); (N.S.); (H.E.)
| | - Heike Englert
- Department of Food, Nutrition, Facilities, University of Applied Sciences Münster, 48149 Münster, Germany; (C.K.); (C.K.); (S.H.); (C.A.); (N.S.); (H.E.)
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22
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Shakya P, Shrestha A, Bajracharya M, Shrestha A, Kulseng BE, Karmacharya BM, Shrestha S, Das S, Shrestha IB, Barun K, Shrestha N, Skovlund E, Sen A. Effectiveness of a group-based Diabetes Prevention Education Program (DiPEP) in a population with pre-diabetes: a cluster randomised controlled trial in Nepal. BMJ Nutr Prev Health 2023; 6:253-263. [PMID: 38264365 PMCID: PMC10800278 DOI: 10.1136/bmjnph-2023-000702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 10/20/2023] [Indexed: 01/25/2024] Open
Abstract
Background Although several lifestyle intervention studies have been conducted in low/middle-income countries, there were no such studies in Nepal. Therefore, a group-based culturally tailored Diabetes Prevention Education Program (DiPEP) was conducted recently. The study aimed to evaluate the effect of DiPEP in glycated haemoglobin (HbA1c), weight, waist circumference, physical activity and diet among population with pre-diabetes. Method A two-arm cluster randomised controlled trial was conducted in 12 clusters of two urban areas in Nepal. The DiPEP was a 6 month intervention (four 1-hour weekly educational sessions and 5 months of follow-up by community health workers/volunteers (CHW/Vs)). A postintervention assessment was done after 6 months. Linear mixed model was used to estimate the mean difference in primary outcome (HbA1c) and secondary outcomes (weight, waist circumference, physical activity and diet) between intervention and control arms, adjusted for baseline measure. Results In intention-to-treat analysis with a total of 291 participants, the estimated mean difference in HbA1c was found to be 0.015 percentage point (95% CI -0.074 to 0.104) between the intervention arm and the control arm, while it was -0.077 (95% CI -0.152 to -0.002) among those who attended at least 3 out of 4 educational sessions. The estimated mean difference in weight (in participants who attended ≥1 educational session) was -1.6 kg (95% CI -3.1 to -0.1). A significantly lower grain consumption was found in intervention arm (-39 g/day, 95% CI -65 to -14) compared with the control arm at postintervention assessment. Conclusion Although compliance was affected by COVID-19, individuals who participated in ≥3 educational sessions had significant reduction in HbA1c and those who attended ≥1 educational session had significant weight reduction. Grain intake was significantly reduced among the intervention arm than the control arm. Hence, group-based lifestyle intervention programmes involving CHW/vs is recommended for diabetes prevention. Trial registration number NCT04074148.
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Affiliation(s)
- Pushpanjali Shakya
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Archana Shrestha
- Department of Public Health and Community Programs, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal
- Institute for Implementation Science and Health, Kathmandu, Bagmati Province, Nepal
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, USA
| | - Monish Bajracharya
- Department of Business and IT, University of South-Eastern Norway, Bo, Norway
| | - Abha Shrestha
- Department of Community Medicine, Kathmandu University School of Medical Sciences, Dhulikhel, Bagmati Province, Nepal
| | - Bård Erik Kulseng
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Biraj Man Karmacharya
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Public Health and Community Programs, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal
| | - Smriti Shrestha
- Research and Development Division/Department of Community Programs, Dhulikhel Hospital, Dhulikhel, Bagmati Province, Nepal
- ECA College of Health Sciences, Sydney, New South Wales, Australia
| | - Seema Das
- Research and Development Division/Department of Community Programs, Dhulikhel Hospital, Dhulikhel, Bagmati Province, Nepal
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA
| | - Ishwori Byanju Shrestha
- Research and Development Division/Department of Community Programs, Dhulikhel Hospital, Dhulikhel, Bagmati Province, Nepal
| | - Krishnaa Barun
- Research and Development Division/Department of Community Programs, Dhulikhel Hospital, Dhulikhel, Bagmati Province, Nepal
- Department of Public Health, Nobel College, Pokhara University, Kathmandu, Bagmati Province, Nepal
| | - Nistha Shrestha
- Department of Physiotherapy, Kathmandu University School of Medical Sciences, Dhulikhel, Bagmati Province, Nepal
- Epidemiology and Disease Control Division, Department of Health Services, Government of Nepal Ministry of Health and Population, Kathmandu, Bagmati Province, Nepal
| | - Eva Skovlund
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Abhijit Sen
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Centre for Oral Health Services and Research (TkMidt), Trondheim, Norway
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Abstract
Importance Obesity affects approximately 42% of US adults and is associated with increased rates of type 2 diabetes, hypertension, cardiovascular disease, sleep disorders, osteoarthritis, and premature death. Observations A body mass index (BMI) of 25 or greater is commonly used to define overweight, and a BMI of 30 or greater to define obesity, with lower thresholds for Asian populations (BMI ≥25-27.5), although use of BMI alone is not recommended to determine individual risk. Individuals with obesity have higher rates of incident cardiovascular disease. In men with a BMI of 30 to 39, cardiovascular event rates are 20.21 per 1000 person-years compared with 13.72 per 1000 person-years in men with a normal BMI. In women with a BMI of 30 to 39.9, cardiovascular event rates are 9.97 per 1000 person-years compared with 6.37 per 1000 person-years in women with a normal BMI. Among people with obesity, 5% to 10% weight loss improves systolic blood pressure by about 3 mm Hg for those with hypertension, and may decrease hemoglobin A1c by 0.6% to 1% for those with type 2 diabetes. Evidence-based obesity treatment includes interventions addressing 5 major categories: behavioral interventions, nutrition, physical activity, pharmacotherapy, and metabolic/bariatric procedures. Comprehensive obesity care plans combine appropriate interventions for individual patients. Multicomponent behavioral interventions, ideally consisting of at least 14 sessions in 6 months to promote lifestyle changes, including components such as weight self-monitoring, dietary and physical activity counseling, and problem solving, often produce 5% to 10% weight loss, although weight regain occurs in 25% or more of participants at 2-year follow-up. Effective nutritional approaches focus on reducing total caloric intake and dietary strategies based on patient preferences. Physical activity without calorie reduction typically causes less weight loss (2-3 kg) but is important for weight-loss maintenance. Commonly prescribed medications such as antidepressants (eg, mirtazapine, amitriptyline) and antihyperglycemics such as glyburide or insulin cause weight gain, and clinicians should review and consider alternatives. Antiobesity medications are recommended for nonpregnant patients with obesity or overweight and weight-related comorbidities in conjunction with lifestyle modifications. Six medications are currently approved by the US Food and Drug Administration for long-term use: glucagon-like peptide receptor 1 (GLP-1) agonists (semaglutide and liraglutide only), tirzepatide (a glucose-dependent insulinotropic polypeptide/GLP-1 agonist), phentermine-topiramate, naltrexone-bupropion, and orlistat. Of these, tirzepatide has the greatest effect, with mean weight loss of 21% at 72 weeks. Endoscopic procedures (ie, intragastric balloon and endoscopic sleeve gastroplasty) can attain 10% to 13% weight loss at 6 months. Weight loss from metabolic and bariatric surgeries (ie, laparoscopic sleeve gastrectomy and Roux-en-Y gastric bypass) ranges from 25% to 30% at 12 months. Maintaining long-term weight loss is difficult, and clinical guidelines support the use of long-term antiobesity medications when weight maintenance is inadequate with lifestyle interventions alone. Conclusion and Relevance Obesity affects approximately 42% of adults in the US. Behavioral interventions can attain approximately 5% to 10% weight loss, GLP-1 agonists and glucose-dependent insulinotropic polypeptide/GLP-1 receptor agonists can attain approximately 8% to 21% weight loss, and bariatric surgery can attain approximately 25% to 30% weight loss. Comprehensive, evidence-based obesity treatment combines behavioral interventions, nutrition, physical activity, pharmacotherapy, and metabolic/bariatric procedures as appropriate for individual patients.
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Affiliation(s)
- Arielle Elmaleh-Sachs
- Department of Medicine, Division of General Internal Medicine and Clinical Innovation, New York University Grossman School of Medicine, New York, New York
- Department of Population Health, New York University Grossman School of Medicine, New York, New York
- Family Health Centers at NYU Langone, New York, New York
| | - Jessica L Schwartz
- Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Carolyn T Bramante
- Division of General Internal Medicine, University of Minnesota Medical School, Minneapolis
| | - Jacinda M Nicklas
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora
| | - Kimberly A Gudzune
- Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Melanie Jay
- Department of Medicine, Division of General Internal Medicine and Clinical Innovation, New York University Grossman School of Medicine, New York, New York
- Department of Population Health, New York University Grossman School of Medicine, New York, New York
- New York Harbor Veteran Affairs, New York, New York
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24
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Sutkowska E, Fecka I, Marciniak D, Bednarska K, Sutkowska M, Hap K. Analysis of Methylglyoxal Concentration in a Group of Patients with Newly Diagnosed Prediabetes. Biomedicines 2023; 11:2968. [PMID: 38001968 PMCID: PMC10669086 DOI: 10.3390/biomedicines11112968] [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: 10/19/2023] [Accepted: 11/01/2023] [Indexed: 11/26/2023] Open
Abstract
BACKGROUND The abnormal serum concentration of methylglyoxal (MGO) has been presented as an indicator of chronic complications in diabetes (DM). Because such complications are also found in pre-DM, we decided to assess the concentration of this compound in individuals with pre-DM, without cardio-vascular diseases. METHODS Frozen samples from individuals newly diagnosed with pre-DM (N = 31) and healthy subjects (N = 11) were prepared and MGO concentration was determined using UHPLC-ESI-QqTOF-MS. RESULTS Statistical significance was established when the groups were compared for body weight, BMI, fasting glucose level, fatty liver and use of statins but not for the other descriptive parameters. The positive linear correlation showed that the higher HbA1c, the higher MGO concentration (p = 0.01). The values of MGO were within the normal range in both groups (mean value for pre-DM: 135.44 nM (±SD = 32.67) and for the control group: 143.25 nM (±SD = 17.93); p = 0.46 (±95% CI)), with no statistical significance between the groups. CONCLUSIONS We did not confirm the elevated MGO levels in the group of patients with pre-DM. The available data suggests a possible effect of statin intake on MGO levels. This thesis requires confirmation on a larger number of patients with an assessment of MGO levels before and after the introduction of statins.
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Affiliation(s)
- Edyta Sutkowska
- University Rehabilitation Centre, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland;
| | - Izabela Fecka
- Department of Pharmacognosy, Faculty of Pharmacy, Wroclaw Medical University, Borowska 211, 50-556 Wroclaw, Poland; (I.F.); (K.B.)
- The Committee on Therapeutics and Pharmaceutical Sciences, The Polish Academy of Sciences, pl. Defilad 1, 00-901 Warszawa, Poland
| | - Dominik Marciniak
- Department of Drugs Form Technology, Wroclaw Medical University, Borowska 211, 50-556 Wroclaw, Poland;
| | - Katarzyna Bednarska
- Department of Pharmacognosy, Faculty of Pharmacy, Wroclaw Medical University, Borowska 211, 50-556 Wroclaw, Poland; (I.F.); (K.B.)
| | - Magdalena Sutkowska
- Faculty of Medicine, Wroclaw Medical University, Wybrzeże Ludwika Pasteura 1, 50-367 Wroclaw, Poland;
| | - Katarzyna Hap
- University Rehabilitation Centre, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland;
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25
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Sandforth A, von Schwartzenberg RJ, Arreola EV, Hanson RL, Sancar G, Katzenstein S, Lange K, Preißl H, Dreher SI, Weigert C, Wagner R, Kantartzis K, Machann J, Schick F, Lehmann R, Peter A, Katsouli N, Ntziachristos V, Dannecker C, Fritsche L, Perakakis N, Heni M, Nawroth PP, Kopf S, Pfeiffer AFH, Kabisch S, Stumvoll M, Schwarz PEH, Hauner H, Lechner A, Seissler J, Yurchenko I, Icks A, Solimena M, Häring HU, Szendroedi J, Schürmann A, de Angelis MH, Blüher M, Roden M, Bornstein SR, Stefan N, Fritsche A, Birkenfeld AL. Mechanisms of weight loss-induced remission in people with prediabetes: a post-hoc analysis of the randomised, controlled, multicentre Prediabetes Lifestyle Intervention Study (PLIS). Lancet Diabetes Endocrinol 2023; 11:798-810. [PMID: 37769677 DOI: 10.1016/s2213-8587(23)00235-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 08/02/2023] [Accepted: 08/04/2023] [Indexed: 10/03/2023]
Abstract
BACKGROUND Remission of type 2 diabetes can occur as a result of weight loss and is characterised by liver fat and pancreas fat reduction and recovered insulin secretion. In this analysis, we aimed to investigate the mechanisms of weight loss- induced remission in people with prediabetes. METHODS In this prespecified post-hoc analysis, weight loss-induced resolution of prediabetes in the randomised, controlled, multicentre Prediabetes Lifestyle Intervention Study (PLIS) was assessed, and the results were validated against participants from the Diabetes Prevention Program (DPP) study. For PLIS, between March 1, 2012, and Aug 31, 2016, participants were recruited from eight clinical study centres (including seven university hospitals) in Germany and randomly assigned to receive either a control intervention, a standard lifestyle intervention (ie, DPP-based intervention), or an intensified lifestyle intervention for 12 months. For DPP, participants were recruited from 23 clinical study centres in the USA between July 31, 1996, and May 18, 1999, and randomly assigned to receive either a standard lifestyle intervention, metformin, or placebo. In both PLIS and DPP, only participants who were randomly assigned to receive lifestyle intervention or placebo and who lost at least 5% of their bodyweight were included in this analysis. Responders were defined as people who returned to normal fasting plasma glucose (FPG; <5·6 mmol/L), normal glucose tolerance (<7·8 mmol/L), and HbA1c less than 39 mmol/mol after 12 months of lifestyle intervention or placebo or control intervention. Non-responders were defined as people who had FPG, 2 h glucose, or HbA1c more than these thresholds. The main outcomes for this analysis were insulin sensitivity, insulin secretion, visceral adipose tissue (VAT), and intrahepatic lipid content (IHL) and were evaluated via linear mixed models. FINDINGS Of 1160 participants recruited to PLIS, 298 (25·7%) had weight loss of 5% or more of their bodyweight at baseline. 128 (43%) of 298 participants were responders and 170 (57%) were non-responders. Responders were younger than non-responders (mean age 55·6 years [SD 9·9] vs 60·4 years [8·6]; p<0·0001). The DPP validation cohort included 683 participants who lost at least 5% of their bodyweight at baseline. Of these, 132 (19%) were responders and 551 (81%) were non-responders. In PLIS, BMI reduction was similar between responders and non-responders (responders mean at baseline 32·4 kg/m2 [SD 5·6] to mean at 12 months 29·0 kg/m2 [4·9] vs non-responders 32·1 kg/m2 [5·9] to 29·2 kg/m2 [5·4]; p=0·86). However, whole-body insulin sensitivity increased more in responders than in non-responders (mean at baseline 291 mL/[min × m2], SD 60 to mean at 12 months 378 mL/[min × m2], 56 vs 278 mL/[min × m2], 62, to 323 mL/[min × m2], 66; p<0·0001), whereas insulin secretion did not differ within groups over time or between groups (responders mean at baseline 175 pmol/mmol [SD 64] to mean at 12 months 163·7 pmol/mmol [60·6] vs non-responders 158·0 pmol/mmol [55·6] to 154·1 pmol/mmol [56·2]; p=0·46). IHL decreased in both groups, without a difference between groups (responders mean at baseline 10·1% [SD 8·7] to mean at 12 months 3·5% [3·9] vs non-responders 10·3% [8·1] to 4·2% [4·2]; p=0·34); however, VAT decreased more in responders than in non-responders (mean at baseline 6·2 L [SD 2·9] to mean at 12 months 4·1 L [2·3] vs 5·7 L [2·3] to 4·5 L [2·2]; p=0·0003). Responders had a 73% lower risk of developing type 2 diabetes than non-responders in the 2 years after the intervention ended. INTERPRETATION By contrast to remission of type 2 diabetes, resolution of prediabetes was characterised by an improvement in insulin sensitivity and reduced VAT. Because return to normal glucose regulation (NGR) prevents development of type 2 diabetes, we propose the concept of remission of prediabetes in analogy to type 2 diabetes. We suggest that remission of prediabetes should be the primary therapeutic aim in individuals with prediabetes. FUNDING German Federal Ministry for Education and Research via the German Center for Diabetes Research; the Ministry of Science, Research and the Arts Baden-Württemberg; the Helmholtz Association and Helmholtz Munich; the Cluster of Excellence Controlling Microbes to Fight Infections; and the German Research Foundation.
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Affiliation(s)
- Arvid Sandforth
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Reiner Jumpertz von Schwartzenberg
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany; Cluster of Excellence Controlling Microbes to Fight Infections, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Elsa Vazquez Arreola
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
| | - Robert L Hanson
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
| | - Gencer Sancar
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Sarah Katzenstein
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Karl Lange
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Hubert Preißl
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Simon I Dreher
- German Center for Diabetes Research, Neuherberg, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Cora Weigert
- German Center for Diabetes Research, Neuherberg, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Robert Wagner
- German Center for Diabetes Research, Neuherberg, Germany; Department of Endocrinology and Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Medical Faculty and University Hospital, Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Kostantinos Kantartzis
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Jürgen Machann
- German Center for Diabetes Research, Neuherberg, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany; Department of Radiology, Section on Experimental Radiology, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Fritz Schick
- German Center for Diabetes Research, Neuherberg, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany; Department of Radiology, Section on Experimental Radiology, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Rainer Lehmann
- German Center for Diabetes Research, Neuherberg, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital of Tübingen, Tübingen, Germany
| | - Andreas Peter
- German Center for Diabetes Research, Neuherberg, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital of Tübingen, Tübingen, Germany
| | - Nikoletta Katsouli
- Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany; Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Munich, Germany
| | - Vasilis Ntziachristos
- Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany; Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Munich, Germany
| | - Corinna Dannecker
- German Center for Diabetes Research, Neuherberg, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Louise Fritsche
- German Center for Diabetes Research, Neuherberg, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Nikolaos Perakakis
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine III, Technical University Dresden, Dresden, Germany
| | - Martin Heni
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Peter Paul Nawroth
- German Center for Diabetes Research, Neuherberg, Germany; Department of Medicine I and Clinical Chemistry, University Hospital of Heidelberg, Heidelberg, Germany
| | - Stefan Kopf
- German Center for Diabetes Research, Neuherberg, Germany; Department of Medicine I and Clinical Chemistry, University Hospital of Heidelberg, Heidelberg, Germany
| | - Andreas F H Pfeiffer
- German Center for Diabetes Research, Neuherberg, Germany; Department of Endocrinology and Metabolism, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Stefan Kabisch
- German Center for Diabetes Research, Neuherberg, Germany; German Institute of Human Nutrition Potsdam-Rehbrücke, Brandenburg, Germany
| | - Michael Stumvoll
- German Center for Diabetes Research, Neuherberg, Germany; Department of Medicine, Endocrinology and Nephrology, Universität Leipzig, Leipzig, Germany
| | - Peter E H Schwarz
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine III, Technical University Dresden, Dresden, Germany
| | - Hans Hauner
- German Center for Diabetes Research, Neuherberg, Germany; Institute of Nutritional Medicine, Technical University of Munich, Munich, Germany
| | - Andreas Lechner
- German Center for Diabetes Research, Neuherberg, Germany; Diabetes Research Group, Medical Department, Ludwig-Maximilians University Munich, Munich, Germany
| | - Jochen Seissler
- German Center for Diabetes Research, Neuherberg, Germany; Diabetes Research Group, Medical Department, Ludwig-Maximilians University Munich, Munich, Germany
| | - Iryna Yurchenko
- German Center for Diabetes Research, Neuherberg, Germany; Medical Faculty and University Hospital, Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Andrea Icks
- German Center for Diabetes Research, Neuherberg, Germany; Institute for Health Services Research and Health Economics, Centre for Health and Society, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute for Health Services Research and Health Economics, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Michele Solimena
- German Center for Diabetes Research, Neuherberg, Germany; Paul-Langerhans-Institut Dresden, Helmholtz Center Munich, University Clinic Carl Gustav Carus, Dresden, Germany
| | - Hans-Ulrich Häring
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Julia Szendroedi
- German Center for Diabetes Research, Neuherberg, Germany; Department of Medicine I and Clinical Chemistry, University Hospital of Heidelberg, Heidelberg, Germany
| | - Annette Schürmann
- German Center for Diabetes Research, Neuherberg, Germany; German Institute of Human Nutrition Potsdam-Rehbrücke, Brandenburg, Germany
| | - Martin Hrabé de Angelis
- German Center for Diabetes Research, Neuherberg, Germany; School of Medicine and School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany; Institute of Experimental Genetics, Helmholtz Center Munich, Munich, Germany
| | - Matthias Blüher
- German Center for Diabetes Research, Neuherberg, Germany; Department of Medicine, Endocrinology and Nephrology, Universität Leipzig, Leipzig, Germany
| | - Michael Roden
- German Center for Diabetes Research, Neuherberg, Germany; Department of Endocrinology and Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Medical Faculty and University Hospital, Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Stefan R Bornstein
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine III, Technical University Dresden, Dresden, Germany; Department of Diabetes, Life Sciences and Medicine, Cardiovascular Medicine and Sciences, Kings College London, London, UK
| | - Norbert Stefan
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Andreas Fritsche
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Andreas L Birkenfeld
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany; Department of Diabetes, Life Sciences and Medicine, Cardiovascular Medicine and Sciences, Kings College London, London, UK.
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26
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Pagán L, Yang W, Shao H, Wang Y, Zhang P. Medical expenditure trajectory and HbA1c progression prior to and after clinical diagnosis of type 2 diabetes in a commercially insured population in the USA. BMJ Open Diabetes Res Care 2023; 11:e003397. [PMID: 37914345 PMCID: PMC10626875 DOI: 10.1136/bmjdrc-2023-003397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 09/08/2023] [Indexed: 11/03/2023] Open
Abstract
INTRODUCTION Medical expenditures of individuals with type 2 diabetes escalate before clinical diagnosis. How increases in medical expenditures are related to glucose levels remains unclear. We examined changes in HbA1c and medical expenditures in years prior to and shortly after type 2 diabetes diagnosis. RESEARCH DESIGN AND METHODS Using insurance claims and laboratory test results from a commercially insured population in the USA, we built three (2014, 2015, 2016) longitudinal cohorts with type 2 diabetes up to 10 years before and 2 years after the diagnosis (index year). We identified diabetes diagnosis using International Classification of Diseases, Ninth Revision and Tenth Revision codes and antidiabetic medication use. We ran two individual fixed regression models with annual total medical expenditures and average HbA1c values as dependent variables and number of years from diagnosis as the main independent variable and examined the risk-adjusted movement of the outcomes. RESULTS Our study included 9847 individuals (83 526 person-years). Medical expenditures and HbA1c levels increased before and peaked at the diagnosis year. Medical expenditures were $8644 lower 10 years and $5781 lower 1 year before diagnosis compared with the index year. HbA1c was 12.18 mmol/mol (1.11 percentage points) and 3.49 mmol/mol (0.32 percentage points) lower, respectively. Average annual increases in medical expenditures and HbA1c values over the prediagnosis period were $318 and 0.97 mmol/mol (0.09 percentage points), respectively. CONCLUSIONS Medical expenditures and HbA1c values followed similar trajectories before and after diabetes diagnosis. Our results can inform economic evaluations of programs and policies aimed at preventing type 2 diabetes.
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Affiliation(s)
| | - Wenya Yang
- The Lewin Group, Falls Church, Virginia, USA
| | - Hui Shao
- Department of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - Yu Wang
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Ping Zhang
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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27
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Basu A, Hooyman A, Richardson LA, Alman AC, Snell-Bergeon JK. Longitudinal Associations of Dietary Fiber Intake with Glycated Hemoglobin and Estimated Insulin Sensitivity in Adults with and without Type 1 Diabetes. Nutrients 2023; 15:4620. [PMID: 37960272 PMCID: PMC10648902 DOI: 10.3390/nu15214620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 10/27/2023] [Accepted: 10/29/2023] [Indexed: 11/15/2023] Open
Abstract
Dietary fiber, an essential bioactive compound in plant-based diets, is of public health concern based on habitual low intakes in the general population. Not much data are available on how habitual dietary fiber is associated with glycemic control in type 1 diabetes (T1D) as well as in prediabetes and normoglycemic adults. To address this gap, we conducted a six-year longitudinal analysis of an original cohort in adults with and without T1D (n = 1255; T1D: n = 563; non-diabetes mellitus (non-DM): n = 692). Dietary data were collected from a validated food frequency questionnaire, biochemical measures were obtained after an overnight fast, and anthropometric measurements were collected at baseline as well as after three and six years for the follow-up study. Glycated hemoglobin (HbA1c) and estimated insulin sensitivity (eIS) were the main outcomes examined. In adjusted analyses, dietary fiber intake was inversely associated with HbA1c in a minimally adjusted model, but it was positively associated with eIS in a model involving all relevant covariates in non-DM adults. These associations were not significant in the T1D group. Furthermore, when examined by HbA1c cut-offs for glycemic control, an inverse association with dietary fiber was only observed in adults with prediabetes (all p < 0.05). At a six-year mean (±SD) dietary fiber intake of 17.4 ± 8.8 g for non-DM and 17.0 ± 8.2 g for the T1D group, protective associations against poor glycemic control were observed in those without diabetes and in prediabetes.
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Affiliation(s)
- Arpita Basu
- Department of Kinesiology and Nutrition Sciences, School of Integrated Health Sciences, University of Nevada Las Vegas, Las Vegas, NV 89154, USA;
| | - Andrew Hooyman
- Department of Kinesiology and Nutrition Sciences, School of Integrated Health Sciences, University of Nevada Las Vegas, Las Vegas, NV 89154, USA;
- School of Biological Health Systems Engineering, Arizona State University, Tempe, AZ 85281, USA
| | - Leigh Ann Richardson
- Department of Epidemiology and Biostatistics, School of Public Health, University of Nevada Las Vegas, Las Vegas, NV 89154, USA;
| | - Amy C. Alman
- College of Public Health, University of South Florida, Tampa, FL 33620, USA;
| | - Janet K. Snell-Bergeon
- Barbara Davis Center for Diabetes, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA;
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28
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Smith EJ, Apfelbaum LJ, Yeh MC, Horlyck-Romanovsky MF. Staff resilience and innovation essential to New York City diabetes prevention programs going virtual during COVID-19 pandemic lockdowns. BMC Health Serv Res 2023; 23:1148. [PMID: 37880714 PMCID: PMC10599031 DOI: 10.1186/s12913-023-10129-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 10/08/2023] [Indexed: 10/27/2023] Open
Abstract
BACKGROUND COVID-19 lockdowns in March 2020 forced National Diabetes Prevention Programs (DPPs) to pause, cancel or reformulate. This qualitative study sought to (a) document if/how New York City(NYC) DPPs adapted and served participants during lockdowns, and (b) identify successes and challenges to operating programs during the lockdowns and restrictions on social gathering. METHODS Researchers contacted 47 CDC-registered DPPs in NYC. Eleven DPP directors, lifestyle coaches, and coordinators involved in program implementation completed 1-hour semi-structured virtual interviews and received a $50 gift card. Interviews were recorded, transcribed, and analyzed using Grounded Theory (Dedoose, Version 9). RESULTS Interviewees represented 7 organization types: public hospitals, weight loss programs, healthcare centers, community-based organizations, health insurance companies, faith-based DPPs, and federally qualified health centers. DPPs served participants in 4 of 5 NYC boroughs. Six organizations provided DPP services during lockdowns by going virtual. Successes and challenges related to staffing, resource allocation, virtual data tracking, and participant engagement. Most programs were successful due to resilient, dedicated, and extraordinarily innovative staff. CONCLUSION The pandemic highlighted opportunities for successful virtual DPPs in urban settings, and the need for more robust funding, staff support, and technical assistance for sustainability and scalability of the DPP.
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Affiliation(s)
| | | | - Ming-Chin Yeh
- Nutrition Program, Hunter College, City University of New York, New York, NY, USA
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29
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Prakoso DA, Istiono W, Mahendradhata Y, Arini M. Acceptability and feasibility of tuberculosis-diabetes mellitus screening implementation in private primary care clinics in Yogyakarta, Indonesia: a qualitative study. BMC Public Health 2023; 23:1908. [PMID: 37789310 PMCID: PMC10546762 DOI: 10.1186/s12889-023-16840-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 09/26/2023] [Indexed: 10/05/2023] Open
Abstract
BACKGROUND The relationship between Tuberculosis (TB) and Diabetes Mellitus (DM) is intricate and intertwined, posing significant global health challenges. In addition, the increasing prevalence of DM worldwide raises concerns regarding the potential resurgence of tuberculosis. The implementation of tuberculosis prevention strategies is of the utmost importance, especially in countries like Indonesia that encounter a dual burden of TB and DM. The significance of TB screening in private primary care settings for patients with diabetes cannot be overstated. Implementing TB screening protocols in private primary care settings can assist in identifying diabetic patients with tuberculosis. Therefore, this study aims to explore the acceptability and feasibility of tuberculosis-diabetes mellitus screening implementation in private primary care clinics. METHODS We conducted implementation research with an exploratory qualitative design. Fifteen healthcare professionals from five private primary health care clinics in Yogyakarta, Indonesia, participated in five focus groups. The discussions were audio recorded, transcribed verbatim, and thematically analyzed. As part of the feasibility assessment, surveys were conducted in each clinic. We conducted a thematic analysis in accordance with the theoretical framework of acceptability and the feasibility assessment. RESULTS We identified that most private primary care clinics deemed the implementation of TB screening in DM patients acceptable and practicable. We revealed that the majority of diabetes patients enthusiastically accepted TB-DM screening services. In addition, we found that the healthcare professionals at the clinic are aware of the nature of the intervention and demonstrates a positive attitude despite a subtle burden. The stigma associated with COVID-19 has emerged as a new implementation barrier, joining TB stigma, lack of resources, and regulatory issues. We identify concealed and tiered screening as a potential method for enhancing the implementation of TB-DM screening. CONCLUSIONS The implementation of TB screening in DM patients in private primary care clinics had the potential to be acceptable and feasible. To achieve a successful implementation, consideration should be given to supporting factors, hindering factors, and strategies to improve TB screening in DM patients.
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Affiliation(s)
- Denny Anggoro Prakoso
- Doctoral Program of Medical and Health Sciences, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
| | - Wahyudi Istiono
- Department of Family and Community Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Yodi Mahendradhata
- Department of Health Policy and Management, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Merita Arini
- Master of Hospital Administration, Postgraduate Program, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia
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30
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Sacks DB, Arnold M, Bakris GL, Bruns DE, Horvath AR, Lernmark Å, Metzger BE, Nathan DM, Kirkman MS. Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus. Diabetes Care 2023; 46:e151-e199. [PMID: 37471273 PMCID: PMC10516260 DOI: 10.2337/dci23-0036] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 05/11/2023] [Indexed: 07/22/2023]
Abstract
BACKGROUND Numerous laboratory tests are used in the diagnosis and management of diabetes mellitus. The quality of the scientific evidence supporting the use of these assays varies substantially. APPROACH An expert committee compiled evidence-based recommendations for laboratory analysis in screening, diagnosis, or monitoring of diabetes. The overall quality of the evidence and the strength of the recommendations were evaluated. The draft consensus recommendations were evaluated by invited reviewers and presented for public comment. Suggestions were incorporated as deemed appropriate by the authors (see Acknowledgments). The guidelines were reviewed by the Evidence Based Laboratory Medicine Committee and the Board of Directors of the American Association for Clinical Chemistry and by the Professional Practice Committee of the American Diabetes Association. CONTENT Diabetes can be diagnosed by demonstrating increased concentrations of glucose in venous plasma or increased hemoglobin A1c (HbA1c) in the blood. Glycemic control is monitored by the people with diabetes measuring their own blood glucose with meters and/or with continuous interstitial glucose monitoring (CGM) devices and also by laboratory analysis of HbA1c. The potential roles of noninvasive glucose monitoring, genetic testing, and measurement of ketones, autoantibodies, urine albumin, insulin, proinsulin, and C-peptide are addressed. SUMMARY The guidelines provide specific recommendations based on published data or derived from expert consensus. Several analytes are found to have minimal clinical value at the present time, and measurement of them is not recommended.
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Affiliation(s)
- David B. Sacks
- Department of Laboratory Medicine, National Institutes of Health, Bethesda, MD
| | - Mark Arnold
- Department of Chemistry, University of Iowa, Iowa City, IA
| | - George L. Bakris
- Department of Medicine, American Heart Association Comprehensive Hypertension Center, Section of Endocrinology, Diabetes and Metabolism, University of Chicago Medicine, Chicago, IL
| | - David E. Bruns
- Department of Pathology, University of Virginia Medical School, Charlottesville, VA
| | - Andrea R. Horvath
- New South Wales Health Pathology Department of Chemical Pathology, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Åke Lernmark
- Department of Clinical Sciences, Lund University/CRC, Skane University Hospital Malmö, Malmö, Sweden
| | - Boyd E. Metzger
- Division of Endocrinology, Northwestern University, The Feinberg School of Medicine, Chicago, IL
| | - David M. Nathan
- Massachusetts General Hospital Diabetes Center and Harvard Medical School, Boston, MA
| | - M. Sue Kirkman
- Department of Medicine, University of North Carolina, Chapel Hill, NC
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Kokkorakis M, Folkertsma P, van Dam S, Sirotin N, Taheri S, Chagoury O, Idaghdour Y, Henning RH, Forte JC, Mantzoros CS, de Vries DH, Wolffenbuttel BH. Effective questionnaire-based prediction models for type 2 diabetes across several ethnicities: a model development and validation study. EClinicalMedicine 2023; 64:102235. [PMID: 37936659 PMCID: PMC10626169 DOI: 10.1016/j.eclinm.2023.102235] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 08/10/2023] [Accepted: 09/08/2023] [Indexed: 11/09/2023] Open
Abstract
Background Type 2 diabetes disproportionately affects individuals of non-White ethnicity through a complex interaction of multiple factors. Therefore, early disease detection and prediction are essential and require tools that can be deployed on a large scale. We aimed to tackle this problem by developing questionnaire-based prediction models for type 2 diabetes prevalence and incidence for multiple ethnicities. Methods In this proof of principle analysis, logistic regression models to predict type 2 diabetes prevalence and incidence, using questionnaire-only variables reflecting health state and lifestyle, were trained on the White population of the UK Biobank (n = 472,696 total, aged 37-73 years, data collected 2006-2010) and validated in five other ethnicities (n = 29,811 total) and externally in Lifelines (n = 168,205 total, aged 0-93 years, collected between 2006 and 2013). In total, 631,748 individuals were included for prevalence prediction and 67,083 individuals for the eight-year incidence prediction. Type 2 diabetes prevalence in the UK Biobank ranged between 6% in the White population to 23.3% in the South Asian population, while in Lifelines, the prevalence was 1.9%. Predictive accuracy was evaluated using the area under the receiver operating characteristic curve (AUC), and a detailed sensitivity analysis was conducted to assess potential clinical utility. We compared the questionnaire-only models to models containing physical measurements and biomarkers as well as to clinical non-laboratory type 2 diabetes risk tools and conducted a reclassification analysis. Findings Our algorithms accurately predicted type 2 diabetes prevalence (AUC = 0.901) and eight-year incidence (AUC = 0.873) in the White UK Biobank population. Both models replicated well in the Lifelines external validation, with AUCs of 0.917 and 0.817 for prevalence and incidence, respectively. Both models performed consistently well across different ethnicities, with AUCs of 0.855-0.894 for prevalence and 0.819-0.883 for incidence. These models generally outperformed two clinically validated non-laboratory tools and correctly reclassified >3,000 additional cases. Model performance improved with the addition of blood biomarkers but not with the addition of physical measurements. Interpretation Our findings suggest that easy-to-implement, questionnaire-based models could be used to predict prevalent and incident type 2 diabetes with high accuracy across several ethnicities, providing a highly scalable solution for population-wide risk stratification. Future work should determine the effectiveness of these models in identifying undiagnosed type 2 diabetes, validated in cohorts of different populations and ethnic representation. Funding University Medical Center Groningen.
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Affiliation(s)
- Michail Kokkorakis
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Pytrik Folkertsma
- Ancora Health B.V., Groningen, Netherlands
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Sipko van Dam
- Ancora Health B.V., Groningen, Netherlands
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Nicole Sirotin
- Department of Preventive Medicine, Cleveland Clinic Abu Dhabi, Al Maryah Island, Abu Dhabi, United Arab Emirates
| | - Shahrad Taheri
- National Obesity Treatment Centre, Qatar Metabolic Institute, Hamad Medical Corporation, Doha, Qatar
- Department of Medicine, Weill Cornell Medicine, Doha, Qatar
| | - Odette Chagoury
- National Obesity Treatment Centre, Qatar Metabolic Institute, Hamad Medical Corporation, Doha, Qatar
- Department of Medicine, Weill Cornell Medicine, Doha, Qatar
| | - Youssef Idaghdour
- Program in Biology, Division of Science and Mathematics, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
| | - Robert H. Henning
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - José Castela Forte
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Ancora Health B.V., Groningen, Netherlands
| | - Christos S. Mantzoros
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Boston VA Healthcare System, Boston, MA, USA
| | - Dylan H. de Vries
- Ancora Health B.V., Groningen, Netherlands
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Bruce H.R. Wolffenbuttel
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
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Zheng M, Soumya, Begum M, Bernardo CDO, Stocks N, Jahan H, Gonzalez-Chica D. Do patients with prediabetes managed with metformin achieve better glycaemic control? A national study using primary care medical records. Diabet Med 2023; 40:e15170. [PMID: 37381113 DOI: 10.1111/dme.15170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 06/20/2023] [Accepted: 06/27/2023] [Indexed: 06/30/2023]
Abstract
AIMS To estimate the effectiveness of metformin on glycaemic parameters among participants with incident prediabetes attending Australian general practices. METHODS This retrospective cohort study used electronic health records of regular participants (3+ visits in two consecutive years) attending 383 Australian general practices (MedicineInsight). Participants with 'incident' prediabetes (newly recorded diagnosis between 2012 and 2017) and their glycaemic parameters (haemoglobin A1c [HbA1c] or fasting blood glucose [FBG]) at 6-, 12-, and 18-24 months post diagnosis (unexposed) or post-management with metformin (treatment) were identified from the database. We estimated the average treatment effect (ATE) of metformin management on glycaemic parameters using both linear regression and augmented inverse probability weighting. RESULTS Of the 4770 investigated participants with 'incident' prediabetes, 10.2% were managed with metformin. Participants on metformin had higher HbA1c levels at the baseline than those unexposed (mean 45 mmol/mol [6.2%] and 41 mmol/mol [5.9%], respectively), but no differences were observed at 6-12 months (mmol/mol ATE 0.0, 95% CI -0.4; 0.7) or 12-18 months (ATE -0.3, 95% CI -1.2; 0.3). However, participants on metformin had lower mean HbA1c mmol/mol at 18-24 months (ATE -1.1, 95% CI -2.0; 0.1) than those unexposed. Consistent results were observed for FBG (ATE at 6-12 months -0.14 [95% CI -0.25; -0.04], 12-18 months 0.02 [95% CI -0.08; 0.13] and 18-24 months -0.07 [95% CI -0.25; 0.12]). CONCLUSION The higher HbA1c and FBG baseline levels among participants with 'incident' prediabetes managed with metformin improved after 6-12 months of starting pharmacological management, and the effect persisted for up to 24 months. Management with metformin could prevent further deterioration of glycaemic levels.
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Affiliation(s)
- Mingyue Zheng
- Discipline of General Practice, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
| | - Soumya
- Discipline of General Practice, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
| | - Mumtaz Begum
- Discipline of General Practice, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
| | - Carla De Oliveira Bernardo
- Discipline of General Practice, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
| | - Nigel Stocks
- Discipline of General Practice, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
| | - Habiba Jahan
- Discipline of General Practice, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
| | - David Gonzalez-Chica
- Discipline of General Practice, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
- Adelaide Rural Clinical School, The University of Adelaide, Adelaide, South Australia, Australia
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Robinson J, Nitschke E, Tovar A, Mattar L, Gottesman K, Hamlett P, Rozga M. Nutrition and Physical Activity Interventions Provided by Nutrition and Exercise Practitioners for the General Population: An Evidence-Based Practice Guideline From the Academy of Nutrition and Dietetics and American Council on Exercise. J Acad Nutr Diet 2023; 123:1215-1237.e5. [PMID: 37061182 DOI: 10.1016/j.jand.2023.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 04/10/2023] [Indexed: 04/17/2023]
Abstract
A nutritious diet and adequate physical activity vitally contribute to disease prevention, but most adults do not meet population-based dietary and physical activity recommendations. Qualified nutrition and exercise practitioners can address challenges to adopting healthy lifestyle behaviors by providing consistent, individualized, and evidence-based education and programming within their professional scopes of practice to improve client outcomes. The objective of this evidence-based practice guideline is to inform practice decisions for nutrition and exercise practitioners providing nutrition and physical activity interventions for adults who are healthy or have cardiometabolic risk factors, but no diagnosed disease. Evidence from a systematic review was translated to practice recommendations using an evidence-to-decision framework by an interdisciplinary team of nutrition and exercise practitioners and researchers. This evidence-based practice guideline does not provide specific dietary or physical activity recommendations but rather informs nutrition and exercise practitioners how they may utilize existing guidelines for the general population to individualize programming for a range of clients. This evidence-based practice guideline provides widely applicable recommendation statements and a detailed framework to help practitioners implement the recommendations into practice. Common barriers and facilitators encountered when delivering nutrition and physical activity interventions, such as adherence to professional scopes of practice; methods to support behavior change; and methods to support inclusion, diversity, equity, and access, are discussed. Nutrition and exercise practitioners can consistently provide individualized, practical, and evidence-based interventions by seeking to understand their clients' needs, circumstances, and values and by co-creating interventions with the client and their allied health team.
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Affiliation(s)
- Justin Robinson
- Kinesiology Department, Point Loma Nazarene University, San Diego, California
| | - Erin Nitschke
- Department of Exercise Science, Laramie County Community College, Cheyenne, Wyoming
| | | | - Lama Mattar
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Lebanon
| | - Kimberly Gottesman
- Department of Nutrition and Food Science, California State University Los Angeles, Los Angeles, California
| | - Peggy Hamlett
- Department of Kinesiology, Washington State University Pullman, Washington
| | - Mary Rozga
- Evidence Analysis Center, Academy of Nutrition and Dietetics, Chicago, Illinois.
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Sacks DB, Arnold M, Bakris GL, Bruns DE, Horvath AR, Lernmark Å, Metzger BE, Nathan DM, Kirkman MS. Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus. Clin Chem 2023:hvad080. [PMID: 37473453 DOI: 10.1093/clinchem/hvad080] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 05/12/2023] [Indexed: 07/22/2023]
Abstract
BACKGROUND Numerous laboratory tests are used in the diagnosis and management of diabetes mellitus. The quality of the scientific evidence supporting the use of these assays varies substantially. APPROACH An expert committee compiled evidence-based recommendations for laboratory analysis in screening, diagnosis, or monitoring of diabetes. The overall quality of the evidence and the strength of the recommendations were evaluated. The draft consensus recommendations were evaluated by invited reviewers and presented for public comment. Suggestions were incorporated as deemed appropriate by the authors (see Acknowledgments). The guidelines were reviewed by the Evidence Based Laboratory Medicine Committee and the Board of Directors of the American Association of Clinical Chemistry and by the Professional Practice Committee of the American Diabetes Association. CONTENT Diabetes can be diagnosed by demonstrating increased concentrations of glucose in venous plasma or increased hemoglobin A1c (Hb A1c) in the blood. Glycemic control is monitored by the people with diabetes measuring their own blood glucose with meters and/or with continuous interstitial glucose monitoring (CGM) devices and also by laboratory analysis of Hb A1c. The potential roles of noninvasive glucose monitoring, genetic testing, and measurement of ketones, autoantibodies, urine albumin, insulin, proinsulin, and C-peptide are addressed. SUMMARY The guidelines provide specific recommendations based on published data or derived from expert consensus. Several analytes are found to have minimal clinical value at the present time, and measurement of them is not recommended.
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Affiliation(s)
- David B Sacks
- Department of Laboratory Medicine, National Institutes of Health, Bethesda, MD, United States
| | - Mark Arnold
- Department of Chemistry, University of Iowa, Iowa City, IA, United States
| | - George L Bakris
- Department of Medicine, American Heart Association Comprehensive Hypertension Center, Section of Endocrinology, Diabetes and Metabolism, University of Chicago Medicine, Chicago, ILUnited States
| | - David E Bruns
- Department of Pathology, University of Virginia Medical School, Charlottesville, VA, United States
| | - Andrea R Horvath
- New South Wales Health Pathology Department of Chemical Pathology, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Åke Lernmark
- Department of Clinical Sciences, Lund University/CRC, Skane University Hospital Malmö, Malmö, Sweden
| | - Boyd E Metzger
- Division of Endocrinology, Northwestern University, The Feinberg School of Medicine, Chicago, IL, United States
| | - David M Nathan
- Massachusetts General Hospital Diabetes Center and Harvard Medical School, Boston, MA, United States
| | - M Sue Kirkman
- Department of Medicine, University of North Carolina, Chapel Hill, NC, United States
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Michaud TL, Wilson KE, Katula JA, You W, Estabrooks PA. Cost and cost-effectiveness analysis of a digital diabetes prevention program: results from the PREDICTS trial. Transl Behav Med 2023; 13:501-510. [PMID: 36809348 DOI: 10.1093/tbm/ibad008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2023] Open
Abstract
Although technology-assisted diabetes prevention programs (DPPs) have been shown to improve glycemic control and weight loss, information are limited regarding relevant costs and their cost-effectiveness. To describe a retrospective within-trial cost and cost-effectiveness analysis (CEA) to compare a digital-based DPP (d-DPP) with small group education (SGE), over a 1-year study period. The costs were summarized into direct medical costs, direct nonmedical costs (i.e., times that participants spent engaging with the interventions), and indirect costs (i.e., lost work productivity costs). The CEA was measured by the incremental cost-effectiveness ratio (ICER). Sensitivity analysis was performed using nonparametric bootstrap analysis. Over 1 year, the direct medical costs, direct nonmedical costs, and indirect costs per participant were $4,556, $1,595, and $6,942 in the d-DPP group versus $4,177, $1,350, and $9,204 in the SGE group. The CEA results showed cost savings from d-DPP relative to SGE based on a societal perspective. Using a private payer perspective for d-DPP, ICERs were $4,739 and $114 to obtain an additional unit reduction in HbA1c (%) and weight (kg), and were $19,955 for an additional unit gain of quality-adjusted life years (QALYs) compared to SGE, respectively. From a societal perspective, bootstrapping results indicated that d-DPP has a 39% and a 69% probability, at a willingness-to-pay of $50,000/QALY and $100,000/QALY, respectively, of being cost-effective. The d-DPP was cost-effective and offers the prospect of high scalability and sustainability due to its program features and delivery modes, which can be easily translated to other settings.
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Affiliation(s)
- Tzeyu L Michaud
- Department of Health Promotion, College of Public Health, University of Nebraska Medical Center, Omaha, NE, USA
- Center for Reducing Health Disparities, College of Public Health, University of Nebraska Medical Center, Omaha, NE, USA
| | - Kathryn E Wilson
- Department of Kinesiology and Health, College of Education & Human Development, Georgia State University, Atlanta, GA, USA
- Center for the Study of Stress, Trauma, and Resilience, College of Education and Human Development, Georgia State University, Atlanta, GA, USA
| | - Jeffrey A Katula
- Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA
| | - Wen You
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Paul A Estabrooks
- Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT, USA
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Taylor R, Sullivan D, Reeves P, Kerr N, Sawyer A, Schwartzkoff E, Bailey A, Williams C, Hure A. A Scoping Review of Economic Evaluations to Inform the Reorientation of Preventive Health Services in Australia. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6139. [PMID: 37372726 DOI: 10.3390/ijerph20126139] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 05/22/2023] [Accepted: 06/06/2023] [Indexed: 06/29/2023]
Abstract
The Australian National Preventive Health Strategy 2021-2030 recommended the establishment of evidence-based frameworks to enable local public health services to identify strategies and interventions that deliver value for money. This study aimed to review the cost-effectiveness of preventive health strategies to inform the reorientation of local public health services towards preventive health interventions that are financially sustainable. Four electronic databases were searched for reviews published between 2005 and February 2022. Reviews that met the following criteria were included: population: human studies, any age or sex; concept 1: primary and/or secondary prevention interventions; concept 2: full economic evaluation; context: local public health services as the provider of concept 1. The search identified 472 articles; 26 were included. Focus health areas included mental health (n = 3 reviews), obesity (n = 1), type 2 diabetes (n = 3), dental caries (n = 2), public health (n = 4), chronic disease (n = 5), sexual health (n = 1), immunisation (n = 1), smoking cessation (n = 3), reducing alcohol (n = 1), and fractures (n = 2). Interventions that targeted obesity, type 2 diabetes, smoking cessation, and fractures were deemed cost-effective, however, more studies are needed, especially those that consider equity in priority populations.
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Affiliation(s)
- Rachael Taylor
- Health Economics and Impact, Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
| | - Deborah Sullivan
- Health Economics and Impact, Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
| | - Penny Reeves
- Health Economics and Impact, Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
| | - Nicola Kerr
- Health Promotion, Mid North Coast Local Health District, Coffs Harbour, NSW 2450, Australia
| | - Amy Sawyer
- Health Promotion, Mid North Coast Local Health District, Coffs Harbour, NSW 2450, Australia
| | - Emma Schwartzkoff
- Health Promotion, Mid North Coast Local Health District, Coffs Harbour, NSW 2450, Australia
| | - Andrew Bailey
- Research and Knowledge Translation Directorate, Mid North Coast Local Health District, Port Macquarie, NSW 2444, Australia
| | - Christopher Williams
- Research and Knowledge Translation Directorate, Mid North Coast Local Health District, Port Macquarie, NSW 2444, Australia
- University Centre for Rural Health, School of Health Sciences, University of Sydney, 61 Uralba Street, Lismore, NSW 2480, Australia
| | - Alexis Hure
- Health Economics and Impact, Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
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Blond MB, Færch K, Herder C, Ziegler D, Stehouwer CDA. The prediabetes conundrum: striking the balance between risk and resources. Diabetologia 2023; 66:1016-1023. [PMID: 36897357 PMCID: PMC10163079 DOI: 10.1007/s00125-023-05890-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 01/18/2023] [Indexed: 03/11/2023]
Abstract
The current definition of prediabetes is controversial and subject to continuous debate. Nonetheless, prediabetes is a risk factor for type 2 diabetes, is highly prevalent and is associated with diabetic complications and mortality. Thereby, it has the potential to become a huge strain on healthcare systems in the future, necessitating action from legislators and healthcare providers. But how do we best reduce its associated burden on health? As a compromise between differing opinions in the literature and among the authors of this article, we suggest stratifying individuals with prediabetes according to estimated risk and only offering individual-level preventive interventions to those at high risk. At the same time, we argue to identify those with prediabetes and already established diabetes-related complications and treat them as we would treat individuals with established type 2 diabetes.
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Affiliation(s)
- Martin B Blond
- Clinical Prevention Research, Steno Diabetes Center Copenhagen, Herlev, Denmark.
| | - Kristine Færch
- Clinical Prevention Research, Steno Diabetes Center Copenhagen, Herlev, Denmark.
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Christian Herder
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
- German Center for Diabetes Research (DZD), Partner Düsseldorf, München-Neuherberg, Germany.
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
| | - Dan Ziegler
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
| | - Coen D A Stehouwer
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands.
- Department of Internal Medicine, Maastricht University Medical Centre+, Maastricht, the Netherlands.
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Brown SA, Becker HA, García AA, Velasquez MM, Tanaka H, Winter MA, Perkison WB, Brown EL, Aguilar D, Hanis CL. The effects of gender and country of origin on acculturation, psychological factors, lifestyle factors, and diabetes-related physiological outcomes among Mexican Americans: The Starr County diabetes prevention initiative. Chronic Illn 2023; 19:444-457. [PMID: 35331025 PMCID: PMC9508285 DOI: 10.1177/17423953221089315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVES Examine acculturation and psychological, lifestyle, and physiological factors based on gender and country of origin (U.S. vs. Mexico). METHODS Baseline data from the Starr County diabetes prevention study (N = 300) were analyzed - acculturation (language), psychological factors (depression), lifestyle factors (sedentary behaviors), and diabetes-related physiological outcomes (insulin resistance). MANOVA and linear regression were used to examine variable relationships based on gender and country of origin and identify predictors of depression and insulin resistance. RESULTS Participants were: predominantly female (73%); 51 years of age, on average; born in Mexico (71%); and Spanish-speaking. Individuals spent 11 of their waking hours (range = 0-18 h) in sedentary activities. Compared to females, more males spoke English and reported fewer hours in sedentary activities. Compared to participants born in Mexico, those born in the U.S. were more likely to: speak English; report depressive symptoms; and exhibit elevated BMI and insulin resistance rates. Two distinct models significantly predicted depression (R2 = 14.5%) and insulin resistance (R2 = 26.8%), with acculturation-language entering into both models. DISCUSSION Significant gender and country-of-origin differences were found. Future research on diabetes prevention should examine other Hispanic subgroups and strategies for addressing individual differences, while employing cost-effective group interventions that incorporate these differences and reach more at-risk individuals.
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Affiliation(s)
- Sharon A Brown
- School of Nursing, 12330The University of Texas at Austin, Austin, TX, USA
| | - Heather A Becker
- School of Nursing, 12330The University of Texas at Austin, Austin, TX, USA
| | - Alexandra A García
- School of Nursing, 12330The University of Texas at Austin, Austin, TX, USA
| | - Mary M Velasquez
- 143057School of Social Work, The University of Texas at Austin, Austin, TX, USA
| | - Hirofumi Tanaka
- Department of Kinesiology & Health Education, College of Education, 12330The University of Texas at Austin, Austin, TX, USA
| | - Mary A Winter
- School of Nursing, 12330The University of Texas at Austin, Austin, TX, USA
| | - William B Perkison
- 49219School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Eric L Brown
- 49219School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - David Aguilar
- UK HealthCare, Department of Internal Medicine, 12252University of Kentucky, Lexington, KY, USA
| | - Craig L Hanis
- 49219School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
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Gregg EW, Buckley J, Ali MK, Davies J, Flood D, Mehta R, Griffiths B, Lim LL, Manne-Goehler J, Pearson-Stuttard J, Tandon N, Roglic G, Slama S, Shaw JE. Improving health outcomes of people with diabetes: target setting for the WHO Global Diabetes Compact. Lancet 2023; 401:1302-1312. [PMID: 36931289 PMCID: PMC10420388 DOI: 10.1016/s0140-6736(23)00001-6] [Citation(s) in RCA: 53] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 09/17/2022] [Accepted: 12/20/2022] [Indexed: 03/15/2023]
Abstract
The Global Diabetes Compact is a WHO-driven initiative uniting stakeholders around goals of reducing diabetes risk and ensuring that people with diabetes have equitable access to comprehensive, affordable care and prevention. In this report we describe the development and scientific basis for key health metrics, coverage, and treatment targets accompanying the Compact. We considered metrics across four domains: factors at a structural, system, or policy level; processes of care; behaviours and biomarkers such as glycated haemoglobin (HbA1c); and health events and outcomes; and three risk tiers (diagnosed diabetes, high risk, or whole population), and reviewed and prioritised them according to their health importance, modifiability, data availability, and global inequality. We reviewed the global distribution of each metric to set targets for future attainment. This process led to five core national metrics and target levels for UN member states: (1) of all people with diabetes, at least 80% have been clinically diagnosed; and, for people with diagnosed diabetes, (2) 80% have HbA1c concentrations below 8·0% (63·9 mmol/mol); (3) 80% have blood pressure lower than 140/90 mm Hg; (4) at least 60% of people 40 years or older are receiving therapy with statins; and (5) each person with type 1 diabetes has continuous access to insulin, blood glucose meters, and test strips. We also propose several complementary metrics that currently have limited global coverage, but warrant scale-up in population-based surveillance systems. These include estimation of cause-specific mortality, and incidence of end-stage kidney disease, lower-extremity amputations, and incidence of diabetes. Primary prevention of diabetes and integrated care to prevent long-term complications remain important areas for the development of new metrics and targets. These metrics and targets are intended to drive multisectoral action applied to individuals, health systems, policies, and national health-care access to achieve the goals of the Global Diabetes Compact. Although ambitious, their achievement can result in broad health benefits for people with diabetes.
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Affiliation(s)
- Edward W Gregg
- School of Population Health, RCSI, University of Medicine and Health Sciences, Dublin, Ireland; School of Public Health, Imperial College London, London, UK.
| | - James Buckley
- School of Public Health, Imperial College London, London, UK
| | - Mohammed K Ali
- Hubert Department of Global Health and Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Justine Davies
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK; MRC/Wits Rural Public Health and Health Transitions Research Unit, Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa; Centre for Global Surgery, Department of Global Health, Stellenbosch University, Cape Town, South Africa
| | - David Flood
- Department of Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Roopa Mehta
- Unidad de Investigacion en Enfermedades Metabolicas, Instituto Nacional de Ciencias, Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Ben Griffiths
- School of Public Health, Imperial College London, London, UK
| | - Lee-Ling Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | | | - Jonathan Pearson-Stuttard
- School of Public Health, Imperial College London, London, UK; Health Analytics, Lane Clark & Peacock, London, UK
| | - Nikhil Tandon
- All India Institute of Medical Sciences, New Delhi, India
| | - Gojka Roglic
- Department of Noncommunicable Diseases, WHO, Geneva, Switzerland
| | - Slim Slama
- Department of Noncommunicable Diseases, WHO, Geneva, Switzerland
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute and School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
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Golovaty I, Ritchie ND, Tuomilehto J, Mohan V, Ali MK, Gregg EW, Bergman M, Moin T. Two decades of diabetes prevention efforts: A call to innovate and revitalize our approach to lifestyle change. Diabetes Res Clin Pract 2023; 198:110195. [PMID: 36470316 PMCID: PMC10079599 DOI: 10.1016/j.diabres.2022.110195] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 11/07/2022] [Accepted: 11/28/2022] [Indexed: 12/12/2022]
Abstract
The impact of global diabetes prevention efforts has been modest despite the promise of landmark diabetes prevention trials nearly twenty years ago. While national and regional initiatives show potential, challenges remain to adapt large-scale strategies in the real-world that fits individuals and their communities. Additionally, the sedentary lifestyle changes during the COVID-19 pandemic and guidelines that now call for earlier screening (e.g., US Preventative Task Force) will increase the pool of eligible adults worldwide. Thus, a more adaptable, person-centered approach that expands the current toolkit is urgently needed to innovate and revitalize our approach to diabetes prevention. This review identifies key priorities to optimize the population-level delivery of diabetes prevention based on a consensus-based evaluation of the current evidence among experts in global translational programs; key priorities identified include (1) participant eligibility, (2) intervention intensity, (3) delivery components, (4) behavioral economics, (5) technology, and (6) the role of pharmacotherapy. We offer a conceptual framework for a broader, person-centered approach to better address an individual's risk, readiness, barriers, and digital competency.
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Affiliation(s)
- Ilya Golovaty
- Division of General Internal Medicine, University of Washington School of Medicine, Seattle, WA, USA; General Medicine Service, VA Puget Sound Health Care System, Seattle, WA, USA.
| | - Natalie D Ritchie
- Office of Research, Denver Health and Hospital Authority, Denver, CO. Department of Psychiatry, University of Colorado School of Medicine, Aurora, CO. University of Colorado College of Nursing, Aurora, CO, USA
| | - Jaakko Tuomilehto
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland; Department of Public Health, University of Helsinki, Helsinki, Finland; Saudi Diabetes Research Group, King Abdulaziz University Jeddah, Saudi Arabia; Department of International Health, National School of Public Health, Instituto de Salud Carlos III. Madrid, Spain
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation & Chairman, Dr. Mohan's Diabetes Specialties Centre, Chennai, India
| | - Mohammed K Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA; Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Edward W Gregg
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Michael Bergman
- Division of Endocrinology and Metabolism, Department of Medicine and of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Tannaz Moin
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA; VA Greater Los Angeles Health System and HSR&D Center for the Study of Healthcare Innovation, Implementation & Policy, Los Angeles, CA, USA
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Type 2 Diabetes Prevention Programs-From Proof-of-Concept Trials to National Intervention and Beyond. J Clin Med 2023; 12:jcm12051876. [PMID: 36902668 PMCID: PMC10003211 DOI: 10.3390/jcm12051876] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 02/19/2023] [Accepted: 02/21/2023] [Indexed: 03/08/2023] Open
Abstract
The prevention of type 2 diabetes (T2D) in high-risk people with lifestyle interventions has been demonstrated by several randomized controlled trials. The intervention effect has sustained up to 20 years in post-trial monitoring of T2D incidence. In 2000, Finland launched the national T2D prevention plan. For screening for high T2D risk, the non-laboratory Finnish Diabetes Risk Score was developed and widely used, also in other countries. The incidence of drug-treated T2D has decreased steadily since 2010. The US congress authorized public funding for a national diabetes prevention program (NDPP) in 2010. It was built around a 16-visit program that relies on referral from primary care and self-referral of persons with either prediabetes or by a diabetes risk test. The program uses a train-the-trainer program. In 2015 the program started the inclusion of online programs. There has been limited implementation of nationwide T2D prevention programs in other countries. Despite the convincing results from RCTs in China and India, no translation to the national level was introduced there. T2D prevention efforts in low-and middle-income countries are still limited, but results have been promising. Barriers to efficient interventions are greater in these countries than in high-income countries, where many barriers also exist. Health disparities by socioeconomic status exist for T2D and its risk factors and form a challenge for preventive interventions. It seems that a stronger commitment to T2D prevention is needed, such as the successful WHO Framework Convention on Tobacco Control, which legally binds the countries to act.
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Beltran-Valls MR, Cabanas-Sánchez V, Sadarangani KP, Rodríguez-Artalejo F, Moliner-Urdiales D, Martínez-Gómez D. Physical activity and diabetes mortality in people with type 2 diabetes: a prospective cohort study of 0.5 million US people. DIABETES & METABOLISM 2023; 49:101410. [PMID: 36400411 DOI: 10.1016/j.diabet.2022.101410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Revised: 10/21/2022] [Accepted: 11/07/2022] [Indexed: 11/17/2022]
Abstract
AIM To examine the association between physical activity and the cause of death with the greatest risk related to type 2 diabetes mellitus (T2DM) in a large population-based cohort representative of the general US adult population. METHODS A total of 41,726 adults suffering from T2DM (age 62 ± 14 years) and 459,660 adults without diabetes (age 46 ± 18 years) who participated in the National Health Interview Survey from 1997 to 2014 were included in this prospective cohort study. Self-reported moderate-to-vigorous physical activity (MVPA) was categorized into inactive, insufficiently active, active and very active. Mortality data was obtained from the National Death Index. Cox regression models adjusted for potential confounders were performed to estimate hazard ratio (HR) and 95% confidence interval (CI). RESULTS Diabetes mortality cause showed the highest relative risk of death among adults with T2DM compared to adults without diabetes (HR 5.72 [3.15;10.39]). There was a non-linear inverse dose-response association between MVPA and diabetes mortality among adults with T2DM, up to a plateau in risk reduction at approximately 500 min/week. Any level of activity was inversely associated with a significantly lower risk of diabetes mortality compared with being inactive (insufficiently active HR 0.71[0.54;0.97], active HR 0.68 [0.49;0.95], very active HR 0.44 [0.32;0.60]). Compared to adults without diabetes, the risk of diabetes mortality decreased from HR 7.38 [4.00;13.58] for inactive people with T2DM to HR 3.34 [1.76;6.32] for very active people with T2DM. CONCLUSIONS Higher levels of MVPA were associated with lower risk of diabetes mortality among adults with T2DM.
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Affiliation(s)
| | | | - Kabir P Sadarangani
- Escuela de Kinesiología, Facultad de Salud y Odontología, Universidad Diego Portales, Santiago, Chile; Escuela de Kinesiología, Facultad de Odontología y Ciencias de las Rehabilitación, Universidad San Sebastián, Sede, Santiago, Chile
| | - Fernando Rodríguez-Artalejo
- IMDEA-Food Institute, CEI UAM+CSIC, Madrid 28049, Spain; Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain; CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain
| | | | - David Martínez-Gómez
- IMDEA-Food Institute, CEI UAM+CSIC, Madrid 28049, Spain; Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain; CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Gabbay RA, on behalf of the American Diabetes Association. 2. Classification and Diagnosis of Diabetes: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S19-S40. [PMID: 36507649 PMCID: PMC9810477 DOI: 10.2337/dc23-s002] [Citation(s) in RCA: 795] [Impact Index Per Article: 795.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Gabbay RA, on behalf of the American Diabetes Association. 3. Prevention or Delay of Type 2 Diabetes and Associated Comorbidities: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S41-S48. [PMID: 36507633 PMCID: PMC9810464 DOI: 10.2337/dc23-s003] [Citation(s) in RCA: 60] [Impact Index Per Article: 60.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Martin-Ridaura C, Ochoa-Esteban D, Berlinches-Zapero C, Ruiz-Fernández D, Sanz-Martín V, Gavira-Izquierdo R, March S, López-Toribio M, Ceinos-Arcones M, Pino-Vega S, Melero-Rubio JM, Bordel-Nieto F, Caballero-Jauregui M, Corella-Monzon I, Pino-Días R, Cutanda-Rodriguez C, Sánchez-Muñoz S, Fernández-Garrido JM, Morales-López C, Majarrez-Arias MJ, Sancho S, Fernández NC, Martínez-Cortes M, García-Crespo P, León-Dominguez CM, Pascual M, Herrera R. Evaluation under real-life conditions of a lifestyle intervention for diabetes prevention developed by the municipal health services of Madrid, Spain. Sci Rep 2022; 12:19700. [PMID: 36385106 PMCID: PMC9669021 DOI: 10.1038/s41598-022-21531-7] [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: 05/04/2022] [Accepted: 09/28/2022] [Indexed: 11/17/2022] Open
Abstract
The Diet, Physical Activity and Health (Alimentación, Actividad física y Salud, ALAS) program is an intervention implemented by the municipal health services of Madrid with the objective of reducing weight and preventing diabetes in high-risk population by improving diet and physical activity. The ALAS program combines individual visits with a 10-session group workshop that takes place over a 6-month period. This study evaluated the effectiveness of the ALAS intervention implemented under real-life conditions between 2016 and 2019. The intervention was evaluated with a pre- and post-intervention study with follow-up performed 6 and 12 months from the start of the program. The analyzed outcomes were a 5-10% reduction in the initial weight, body mass index (BMI), waist circumference and a change in glycemic status in prediabetic participants. Statistical models were adjusted by sociodemographic variables. The participants were recruited from municipal community health centers or referred by municipal occupational health services. Between 2016 and 2019, 1629 people participated in the program. At 6 months, 85% of the participants had lost weight; 43% had lost 5% or more of their initial weight, and 12% had lost 10% or more. Regarding BMI, 22.3% of participants who were initially obese were no longer obese, and 15.2% of the overweight participants achieved normal weight. A total of 35.1% of the prediabetic participants reverted to normoglycemic status. The intervention was found to be more effective for men, for those who completed the intervention and those who accessed the program through the occupational health route. Among the participants who accessed the intervention via the community, the intervention was more effective in those with a high educational level. The evaluation demonstrated the effectiveness of the ALAS program for reducing weight and the risk of developing Type 2 diabetes when applied under real-life conditions. The effectiveness of the intervention differed according to gender, access route and educational level of the participants.
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Affiliation(s)
| | - Darío Ochoa-Esteban
- Madrid Salud, Madrid City Council, 62 Mediterraneo Avenue, Floor 6, Madrid, Spain
| | | | | | - Vanessa Sanz-Martín
- Madrid Salud, Madrid City Council, 62 Mediterraneo Avenue, Floor 6, Madrid, Spain
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Park J, Bigman E, Zhang P. Productivity Loss and Medical Costs Associated With Type 2 Diabetes Among Employees Aged 18-64 Years With Large Employer-Sponsored Insurance. Diabetes Care 2022; 45:2553-2560. [PMID: 36048852 PMCID: PMC9633402 DOI: 10.2337/dc22-0445] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 08/02/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To estimate productivity losses and costs and medical costs due to type 2 diabetes (T2D) among employees aged 18-64 years. RESEARCH DESIGN AND METHODS Using 2018-2019 MarketScan databases, we identified employees with T2D or no diabetes among those with records on workplace absences, short-term disability (STD), and long-term disability (LTD). We estimated per capita mean annual time loss attributable to T2D and its associated costs, calculated by multiplying time loss by average hourly wage. We estimated direct medical costs of T2D in total and by service type (inpatient, outpatient, and prescription drugs). We used two-part models (productivity losses and costs and inpatient and drug costs) and generalized linear models (total and outpatient costs) for overall and subgroup analyses by age and sex. All costs were in 2019 U.S. dollars. RESULTS Employees with T2D had 4.2 excess days lost (20.8 vs. 20.3 absences, 6.4 vs. 3.3 STD days, and 1.0 vs. 0.4 LTD days) than those without diabetes. Productivity costs were 13.3% ($680) higher and medical costs were double (total $11,354 vs. $5,101; outpatient $4,558 vs. $2,687, inpatient $3,085 vs. $1,349, prescription drugs $4,182 vs. $1,189) for employees with T2D. Employees aged 18-34 years had higher STD days and outpatient costs. Women had more absences and STD days and higher outpatient costs than men. CONCLUSIONS T2D contributes nearly $7,000 higher annual per capita costs, mostly due to excess medical costs. Our estimates may assist employers to assess potential financial gains from efforts to help workers prevent or better manage T2D.
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Oh SH, Lee SJ, Park J. Effective data-driven precision medicine by cluster-applied deep reinforcement learning. Knowl Based Syst 2022. [DOI: 10.1016/j.knosys.2022.109877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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Campione JR, Ritchie ND, Fishbein HA, Mardon RE, Johnson MC, Pace W, Birch RJ, Seeholzer EL, Zhang X, Proia K, Siegel KR, McKeever Bullard K. Use and Impact of Type 2 Diabetes Prevention Interventions. Am J Prev Med 2022; 63:603-610. [PMID: 35718629 PMCID: PMC10015596 DOI: 10.1016/j.amepre.2022.04.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 03/22/2022] [Accepted: 04/05/2022] [Indexed: 11/01/2022]
Abstract
INTRODUCTION RCTs have found that type 2 diabetes can be prevented among high-risk individuals by metformin medication and evidence-based lifestyle change programs. The purpose of this study is to estimate the use of interventions to prevent type 2 diabetes in real-world clinical practice settings and determine the impact on diabetes-related clinical outcomes. METHODS The analysis performed in 2020 used 2010‒2018 electronic health record data from 69,434 patients aged ≥18 years at high risk for type 2 diabetes in 2 health systems. The use and impact of prescribed metformin, lifestyle change program, bariatric surgery, and combinations of the 3 were examined. A subanalysis was performed to examine uptake and retention among patients referred to the National Diabetes Prevention Program. RESULTS Mean HbA1c values declined from before to after intervention for patients who were prescribed metformin (-0.067%; p<0.001) or had bariatric surgery (-0.318%; p<0.001). Among patients referred to the National Diabetes Prevention Program lifestyle change program, the type 2 diabetes postintervention incidence proportion was 14.0% for nonattendees, 12.8% for some attendance, and 7.5% for those who attended ≥4 sessions (p<0.001). Among referred patients to the National Diabetes Prevention Program lifestyle change program, uptake was low (13% for 1‒3 sessions, 15% for ≥4 sessions), especially among males and Hispanic patients. CONCLUSIONS Findings suggest that metformin and bariatric surgery may improve HbA1c levels and that participation in the National Diabetes Prevention Program may reduce type 2 diabetes incidence. Efforts to increase the use of these interventions may have positive impacts on diabetes-related health outcomes.
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Affiliation(s)
| | - Natalie D Ritchie
- Office of Research, Denver Health and Hospital Authority, Denver, Colorado
| | | | | | | | | | | | | | - Xuanping Zhang
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Krista Proia
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Karen R Siegel
- Centers for Disease Control and Prevention, Atlanta, Georgia
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Dahal PK, Rawal LB, Mahumud RA, Paudel G, Sugishita T, Vandelanotte C. Economic Evaluation of Health Behavior Interventions to Prevent and Manage Type 2 Diabetes Mellitus in Asia: A Systematic Review of Randomized Controlled Trials. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10799. [PMID: 36078539 PMCID: PMC9518060 DOI: 10.3390/ijerph191710799] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 08/25/2022] [Accepted: 08/26/2022] [Indexed: 06/15/2023]
Abstract
Health behavior interventions implemented in Asian countries often lack economic evaluations that effectively address the problems of type 2 diabetes mellitus. This review systematically assessed the existing literature on economic evaluation of health behavior interventions to prevent and manage type 2 diabetes mellitus for people living in Asian countries. Eligible studies were identified through a search of six bibliographic databases, namely, PubMed, Scopus, Public Health Database by ProQuest, Cumulative Index to Nursing and Allied Health Literature Complete, Web of Science, and Google Scholar. Randomized controlled trials of health behavior interventions and studies published in the English language from January 2000 to May 2022 were included in the review. The search yielded 3867 records, of which 11 studies were included in the review. All included studies concluded that health behavior interventions were cost-effective. Eight of these studies undertook an evaluation from a health system perspective, two studies used both societal and health system perspectives, and one study utilized a societal and multi-payer perspective. This review identified the time horizon, direct and indirect medical costs, and discount rates as the most important considerations in determining cost effectiveness. These findings have implications in extending health behavior interventions to prevent and manage type 2 diabetes mellitus in low-resource settings, and are likely to yield the most promising outcomes for people with type 2 diabetes mellitus.
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Affiliation(s)
- Padam Kanta Dahal
- School of Health, Medical and Applied Sciences, Central Queensland University, Sydney, NSW 2000, Australia or
- Appleton Institute, Physical Activity Research Group, Central Queensland University, Rockhampton, QLD 4702, Australia
| | - Lal B. Rawal
- School of Health, Medical and Applied Sciences, Central Queensland University, Sydney, NSW 2000, Australia or
- Appleton Institute, Physical Activity Research Group, Central Queensland University, Rockhampton, QLD 4702, Australia
- Translational Health Research Institute (THRI), Western Sydney University, Sydney, NSW 2751, Australia
| | - Rashidul Alam Mahumud
- NHRMC Clinical Trials Centre, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia
| | - Grish Paudel
- School of Health, Medical and Applied Sciences, Central Queensland University, Sydney, NSW 2000, Australia or
- Appleton Institute, Physical Activity Research Group, Central Queensland University, Rockhampton, QLD 4702, Australia
| | - Tomohiko Sugishita
- Section of Global Health, Division of Public Health, Department of Public Health, Tokyo Women’s Medical University, Tokyo 162-8666, Japan
| | - Corneel Vandelanotte
- Appleton Institute, Physical Activity Research Group, Central Queensland University, Rockhampton, QLD 4702, Australia
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Zelnik Yovel D, Tamir O, Lavon E, Kolobov T, Bel-Ange A, Julius M, Raz I, Rapoport M. Establishing priorities for diabetes action goals according to key opinion leaders and health professionals. Isr J Health Policy Res 2022; 11:29. [PMID: 35986364 PMCID: PMC9392280 DOI: 10.1186/s13584-022-00540-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Accepted: 08/15/2022] [Indexed: 01/22/2023] Open
Abstract
Background The ever-increasing burden of diabetes and the limited resources highlight the need for prioritization of national action goals for diabetes management. The Israeli National Diabetes Council (INDC) initiated a prioritization process aiming to set a top list of diabetes related goals, as suggested by decision makers and health professionals. Methods A 2-step prioritization process, including a small (n = 32) circle of key opinion leaders of the INDC and a larger (n = 195) nationwide circle of diabetes health professionals consisting of physicians, nurses, and dieticians working in diabetes care centers, hospitals and family practice clinics, was established. An online questionnaire presenting 45 different action areas in diabetes prevention and care was distributed to the INDC members who ranked the 3 top diabetes priorities based on their individual interpretation of importance and applicability. The 7 highest ranking priorities were later presented to hospital-based and community diabetes health professionals. These professionals selected the 3 top priorities, based on their perceived importance. Results Council members opted mostly for action areas regarding specific populations, such as clinics for adult type-1 diabetes patients, diabetic foot, and pediatric and adolescent patients, while the health professionals’ top priorities were mostly in the general field of prevention, namely high-risk prediabetes population, prevention of obesity, and promotion of healthy life-style. In addition, priorities differed between hospital and community health professionals as well as between different professional groups. Conclusions A national prioritization process of action areas in diabetes prevention and care is attainable. The resulting item list is affected by professional considerations. These priorities may direct efforts in the implementation of interventions to improve national-level diabetes management. Supplementary Information The online version contains supplementary material available at 10.1186/s13584-022-00540-x.
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