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Leshno D, Lev Shalem L, Perlove Gavze R, Leshno M. Diabetes Glycemic Control in Adults With Type 2 Diabetes Mellitus and ADHD. J Atten Disord 2024:10870547241288720. [PMID: 39390799 DOI: 10.1177/10870547241288720] [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: 10/12/2024]
Abstract
INTRODUCTION Persistence in treatment is important in balancing diabetes and preventing complications. ADHD impairs quality of life and functioning in many areas of life. The aim of this study is to evaluate the possible association of ADHD and diabetes glycemic control among adults with type 2 diabetes mellitus (T2DM). METHODS All data were obtained from Maccabi Healthcare Services (MHS) automated databases. This retrospective cross-sectional study uses electronic medical records from the Maccabi Healthcare Services database during the years 2010 to 2020. Using a propensity score with the variables of age, gender, and duration of diabetes, we compared a group of 1,582 patients with T2DM and ADHD to 1,582 patients with T2DM and without ADHD. We used a t-test to compare continuous variables and a Mann-Whitney U test for non-parametric testing. In addition, we used multivariate logistic regression with a cutoff of several HbA1c values in T2DM patients with and without ADHD during 2019 to 2020. The proportion of patients with HbA1c values above 10%, 9%, and 8% in the group of patients with ADHD was 4.7 to 5.9 times higher than in patients without ADHD. In addition, the OR in the multivariate logistic regression was 4.2 (95% CI [2.5, 6.8]), 4.3 (95% CI [3.1, 6.1]), and 2.7 (95% CI [2.2, 3.4]) for cutoff of HbA1c of 10%, 9%, and 8%, respectively. CONCLUSION Patients with co-morbid ADHD and T2DM have a higher incidence of poor glycemic control. The findings extend the knowledge on the relationship between ADHD and diabetes and highlight the need for further research to improve treatment.
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Affiliation(s)
- Dahlia Leshno
- Maccabi Healthcare Services, Tel Aviv, Israel
- Tel Aviv University, Israel
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Zare Dehnavi A, Elmitwalli I, Alsharif HOH, Shervin Razavi A, Gumpel TA, Smith A, Weinstock RS, Faraone SV, Zhang-James Y. Effects of ADHD and ADHD treatment on glycemic management in type 1 diabetes: A systematic review and meta-analysis of observational studies. Diabetes Res Clin Pract 2024; 209:111566. [PMID: 38360095 DOI: 10.1016/j.diabres.2024.111566] [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: 10/04/2023] [Revised: 12/11/2023] [Accepted: 02/04/2024] [Indexed: 02/17/2024]
Abstract
AIMS Studies suggested a higher prevalence of Attention-deficit/hyperactivity disorder (ADHD) in individuals with Type 1 Diabetes Mellitus (T1D). However, it is unclear how ADHD impacts glycemia and diabetes-related complications. This systematic review and meta-analysis aimed to investigate the effect of ADHD and ADHD medications on HbA1c and acute complications in T1D. METHODS A literature search was conducted in PubMed, EMBASE, CINAHL, Scopus, PsycINFO, CENTRAL, and Web of Science collections up to November 22, 2023. Seventeen studies were selected for the systematic review by independent reviewers, with twelve included in the meta-analysis. RESULTS Mean HbA1c levels were significantly higher in T1D individuals with ADHD compared to those without ADHD (MD = 0.60; 95 % CI: 0.41, 0.79; I2 = 90.1 %; p-value < 0.001). The rates of suboptimal HbA1c levels, hospitalization, diabetic ketoacidosis, and hypoglycemia were all substantially higher in T1D individuals with ADHD than those without ADHD. No difference was found in mean HbA1c between those who received ADHD treatment and those who did not (mean difference = -0.52; 95 % confidence interval: -1.16, 0.13; I2 = 78.6 %; p-value = 0.12). CONCLUSIONS ADHD is associated with higher HbA1c and increased acute diabetes-related complications. More research is needed to assess the effects of ADHD treatments on T1D management.
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Affiliation(s)
- Ali Zare Dehnavi
- Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine & Science, Rochester, MN 55905, USA; School of Medicine, Tehran University of Medical Sciences, Tehran 1417613151, Iran
| | - Islam Elmitwalli
- Nationwide Children's Hospital, Department of Anesthesiology and Pain Medicine, 700 Children's Drive, Columbus, OH 43205, USA
| | - Hisham O H Alsharif
- Mansoura University Hospital, El Mansoura, Dakahlia Governorate 7650030, Egypt
| | - Ali Shervin Razavi
- Norton College of Medicine, SUNY Upstate Medical University, 750 East Adams Street, Syracuse, NY 13210, USA
| | - Tyler A Gumpel
- Norton College of Medicine, SUNY Upstate Medical University, 750 East Adams Street, Syracuse, NY 13210, USA
| | - Abigail Smith
- Health Sciences Library, Norton College of Medicine at SUNY Upstate Medical University, 750 East Adams Street, Syracuse, NY 13210, USA
| | - Ruth S Weinstock
- Division of Endocrinology, Diabetes and Metabolism, Norton College of Medicine at SUNY Upstate Medical University, 750 East Adams Street, Syracuse, NY 13210, USA; Department of Medicine, Norton College of Medicine at SUNY Upstate Medical University, 750 East Adams Street, Syracuse, NY 13210, USA
| | - Stephen V Faraone
- Department of Psychiatry & Behavioral Sciences, Norton College of Medicine at SUNY Upstate Medical University, 750 East Adams Street, Syracuse, NY 13210, USA; Department of Neuroscience and Physiology, Norton College of Medicine at SUNY Upstate Medical University, 750 East Adams Street, Syracuse, NY 13210, USA
| | - Yanli Zhang-James
- Department of Psychiatry & Behavioral Sciences, Norton College of Medicine at SUNY Upstate Medical University, 750 East Adams Street, Syracuse, NY 13210, USA.
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Rose AJ, Ahmad WA, Spolter F, Khazen M, Golan-Cohen A, Vinker S, Green I, Israel A, Merzon E. Patient-level predictors of temporal regularity of primary care visits. BMC Health Serv Res 2023; 23:456. [PMID: 37158867 PMCID: PMC10169340 DOI: 10.1186/s12913-023-09486-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 05/02/2023] [Indexed: 05/10/2023] Open
Abstract
BACKGROUND Patients with chronic diseases should meet with their primary care doctor regularly to facilitate proactive care. Little is known about what factors are associated with more regular follow-up. METHODS We studied 70,095 patients age 40 + with one of three chronic conditions (diabetes mellitus, heart failure, chronic obstructive pulmonary disease), cared for by Leumit Health Services, an Israeli health maintenance organization. Patients were divided into the quintile with the least temporally regular care (i.e., the most irregular intervals between visits) vs. the other four quintiles. We examined patient-level predictors of being in the least-temporally-regular quintile. We calculated the risk-adjusted regularity of care at 239 LHS clinics with at least 30 patients. For each clinic, compared the number of patients with the least temporally regular care with the number predicted to be in this group based on patient characteristics. RESULTS Compared to older patients, younger patients (age 40-49), were more likely to be in the least-temporally-regular group. For example, age 70-79 had an adjusted odds ratio (AOR) of 0.82 compared to age 40-49 (p < 0.001 for all findings discussed here). Males were more likely to be in the least-regular group (AOR 1.18). Patients with previous myocardial infarction (AOR 1.07), atrial fibrillation (AOR 1.08), and current smokers (AOR 1.12) were more likely to have an irregular pattern of care. In contrast, patients with diabetes (AOR 0.79) or osteoporosis (AOR 0.86) were less likely to have an irregular pattern of care. Clinic-level number of patients with irregular care, compared with the predicted number, ranged from 0.36 (fewer patients with temporally irregular care) to 1.71 (more patients). CONCLUSIONS Some patient characteristics are associated with more or less temporally regular patterns of primary care visits. Clinics vary widely on the number of patients with a temporally irregular pattern of care, after adjusting for patient characteristics. Health systems can use the patient-level model to identify patients at high risk for temporally irregular patterns of primary care. The next step is to examine which strategies are employed by clinics that achieve the most temporally regular care, since these strategies may be possible to emulate elsewhere.
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Affiliation(s)
- Adam J Rose
- Braun School of Public Health and Community Medicine, Faculty of Medicine, Hebrew University of Jerusalem, Ein Kerem Campus, Jerusalem, Israel.
| | - Wiessam Abu Ahmad
- Braun School of Public Health and Community Medicine, Faculty of Medicine, Hebrew University of Jerusalem, Ein Kerem Campus, Jerusalem, Israel
| | - Faige Spolter
- Braun School of Public Health and Community Medicine, Faculty of Medicine, Hebrew University of Jerusalem, Ein Kerem Campus, Jerusalem, Israel
| | - Maram Khazen
- Braun School of Public Health and Community Medicine, Faculty of Medicine, Hebrew University of Jerusalem, Ein Kerem Campus, Jerusalem, Israel
| | | | - Shlomo Vinker
- Leumit Health Services, Research Institute, Tel Aviv, Israel
- Sackler School of Medicine, Tel Aviv, Israel
| | - Ilan Green
- Leumit Health Services, Research Institute, Tel Aviv, Israel
| | - Ariel Israel
- Leumit Health Services, Research Institute, Tel Aviv, Israel
| | - Eugene Merzon
- Leumit Health Services, Research Institute, Tel Aviv, Israel
- Adelson School of Medicine, Ariel University, Ariel, Israel
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Zahid M, Dowlatshahi S, Kansara AH, Sadhu AR. The Evolution of Diabetes Technology - Options Towards Personalized Care. Endocr Pract 2023:S1530-891X(23)00387-7. [PMID: 37100350 DOI: 10.1016/j.eprac.2023.04.007] [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] [Received: 10/01/2022] [Revised: 04/12/2023] [Accepted: 04/18/2023] [Indexed: 04/28/2023]
Abstract
Advances in diabetes technology, especially in the last few decades, have transformed our ability to deliver care to persons with diabetes (PWD). Developments in glucose monitoring, especially continuous glucose monitoring systems (CGM), have revolutionized diabetes care and empowered our patients to manage their disease. CGM has also played an integral role in advancing automated insulin delivery systems. Currently available and upcoming advanced hybrid-closed loop systems aim to decrease patient involvement and are approaching the functionality of a fully automated artificial pancreas. Other advances, such as smart insulin pens and daily patch pumps, offer more options for patients and require less complicated and costly technology. Evidence to support the role of diabetes technology is growing, and PWD and clinicians must choose the right type of technology with a personalized strategy to manage diabetes effectively. Here, we review currently available diabetes technologies, summarize their individual features and highlight key patient factors to consider when creating a personalized treatment plan. We also address current challenges and barriers to the adoption of diabetes technologies.
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Affiliation(s)
- Maleeha Zahid
- Fellow, Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, Houston Methodist Hospital, Houston, Texas
| | - Samaneh Dowlatshahi
- Division of Endocrinology, Diabetes & Metabolism, Assistant Clinical Professor, Weill Cornell Medical College, Assistant Professor of Clinical Medicine, Houston Methodist Academic Institute, Houston Methodist Hospital, Houston, Texas
| | - Abhishek H Kansara
- Division of Endocrinology, Diabetes & Metabolism, Assistant Professor of Clinical Medicine, Weill Cornell Medical College, Assistant Professor of Clinical Medicine, Houston Methodist Academic Institute, Adjunct Assistant Professor, Texas A&M University College of Medicine, Houston Methodist Hospital, Houston, Texas
| | - Archana R Sadhu
- System Director, Diabetes Program at Houston Methodist, Medical Director, Pancreas Transplantation and Transplant Endocrinology, Houston Methodist J.C. Walter Jr. Transplant Center, Assistant Clinical Professor, Weill Cornell Medical College, Adjunct Assistant Professor, Texas A&M Health Sciences.
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Trandafir LM, Moisa SM, Vlaiculescu MV, Butnariu LI, Boca LO, Constantin MML, Lupu PM, Brinza C, Temneanu OR, Burlacu A. Insulin Pump Therapy Efficacy and Key Factors Influencing Adherence in Pediatric Population-A Narrative Review. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:1671. [PMID: 36422210 PMCID: PMC9699426 DOI: 10.3390/medicina58111671] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 11/14/2022] [Accepted: 11/16/2022] [Indexed: 08/27/2023]
Abstract
Objective: we aimed to highlight the state of the art in terms of pediatric population adherence to insulin pumps. This study intends to underline the significance of identifying and minimizing, to the greatest extent feasible, the factors that adversely affect the juvenile population's adherence to insulin pump therapy. Materials and methods: articles from PubMed, Embase, and Science Direct databases were evaluated using the following search terms: adherence, pump insulin therapy, children, pediatric population, and type 1 diabetes, in combination with several synonyms such as compliance, treatment adherence, pump adherence, patient dropouts, and treatment refusal. Results: A better glycemic control is connected to a better adherence to diabetes management. We identify, enumerate, and discuss a number of variables which make it difficult to follow an insulin pump therapy regimen. Several key factors might improve adherence to insulin pump therapy: efficient communication between care provider and patients (including home-based video-visits), continuous diabetes education, family support and parental involvement, as well as informational, practical assistance, and emotional support from the society. Conclusions: every cause and obstacle that prevents young patients from adhering to insulin pumps optimally is an opportunity for intervention to improve glycemic control and, as a result, their quality of life.
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Affiliation(s)
- Laura Mihaela Trandafir
- Pediatrics Department, University of Medicine and Pharmacy “Grigore T. Popa”, 700115 Iasi, Romania
- “Sfanta Maria” Clinical Emergency Hospital, 700309 Iasi, Romania
| | - Stefana Maria Moisa
- Pediatrics Department, University of Medicine and Pharmacy “Grigore T. Popa”, 700115 Iasi, Romania
- “Sfanta Maria” Clinical Emergency Hospital, 700309 Iasi, Romania
| | | | - Lacramioara Ionela Butnariu
- “Sfanta Maria” Clinical Emergency Hospital, 700309 Iasi, Romania
- Faculty of Medicine, University of Medicine and Pharmacy “Grigore T Popa”, 700115 Iasi, Romania
| | | | - Maria Magdalena Leon Constantin
- Faculty of Medicine, University of Medicine and Pharmacy “Grigore T Popa”, 700115 Iasi, Romania
- Clinical Rehabilitation Hospital, 700661 Iasi, Romania
| | - Paula Madalina Lupu
- Faculty of Medicine, University of Medicine and Pharmacy “Grigore T Popa”, 700115 Iasi, Romania
| | - Crischentian Brinza
- Faculty of Medicine, University of Medicine and Pharmacy “Grigore T Popa”, 700115 Iasi, Romania
- Institute of Cardiovascular Diseases “Prof. Dr. George I.M. Georgescu”, 700503 Iasi, Romania
| | - Oana Raluca Temneanu
- Department of Mother and Child Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700115 Iasi, Romania
| | - Alexandru Burlacu
- Faculty of Medicine, University of Medicine and Pharmacy “Grigore T Popa”, 700115 Iasi, Romania
- Institute of Cardiovascular Diseases “Prof. Dr. George I.M. Georgescu”, 700503 Iasi, Romania
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Vinker-Shuster M, Eldor R, Green I, Golan-Cohen A, Manor I, Merzon E. Glycemic Control and Diabetes Related Complications in Adults with Type 1 Diabetes Mellitus and ADHD. J Atten Disord 2022; 26:1235-1244. [PMID: 34933573 DOI: 10.1177/10870547211068039] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE To assess the correlation of co-morbid ADHD and diabetes-related complications in patients with type-1-diabetes-mellitus (T1DM). METHODS A retrospective cross-sectional study was conducted during 2018 using the Leumit-Health-Services(LHS) database. Diabetes-related complications were assessed in patients with T1DM and ADHD (T1DM-ADHD+) and compared with patients with T1DM alone (T1DM-ADHD-). RESULTS Out of 789 adult-patients with T1DM, 75 (9.5%) were T1DM-ADHD+, matched to 225 T1DM-ADHD-. HbA1C levels were higher in T1DM-ADHD+ patients (8.1% ± 1.6 vs. 7.4% ± 1.2, p < .01), as well as diabetes-related complications: neuropathy (22.7% vs. 5.8%, p < .01), ulcers (8% vs. 0.9%, p < .05), limb amputation (5.3% vs. 0.9%, p < .05), albuminuria (15.5% vs. 2.8%, p < .01), chronic renal failure (10.6% vs. 2.5%, p = .01), and emergency room admissions rate (26.7% vs. 15.1%, p < .05). In sub-analysis, lower average HbA1C levels and diabetic ulcer rates were found among ADHD patients treated with stimulants, all p < .05. CONCLUSION Co-morbidity of ADHD and T1DM is associated with poor glycemic control and higher complication rates.
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Affiliation(s)
| | - Roy Eldor
- Tel Aviv Sourasky Medical Center, Israel.,The Sackler Faculty of Medicine Tel Aviv University, Israel
| | - Ilan Green
- Leumit HMO, Tel Aviv, Israel.,Tel Aviv University, Israel
| | | | - Iris Manor
- The Sackler Faculty of Medicine Tel Aviv University, Israel.,Geha MHC, Petah Tikva, Israel.,Clalit Health Services, Tel Aviv, Israel
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Kittel-Schneider S, Arteaga-Henriquez G, Vasquez AA, Asherson P, Banaschewski T, Brikell I, Buitelaar J, Cormand B, Faraone SV, Freitag CM, Ginsberg Y, Haavik J, Hartman CA, Kuntsi J, Larsson H, Matura S, McNeill RV, Ramos-Quiroga JA, Ribases M, Romanos M, Vainieri I, Franke B, Reif A. Non-mental diseases associated with ADHD across the lifespan: Fidgety Philipp and Pippi Longstocking at risk of multimorbidity? Neurosci Biobehav Rev 2021; 132:1157-1180. [PMID: 34757108 DOI: 10.1016/j.neubiorev.2021.10.035] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Revised: 10/24/2021] [Accepted: 10/25/2021] [Indexed: 12/16/2022]
Abstract
Several non-mental diseases seem to be associated with an increased risk of ADHD and ADHD seems to be associated with increased risk for non-mental diseases. The underlying trajectories leading to such brain-body co-occurrences are often unclear - are there direct causal relationships from one disorder to the other, or does the sharing of genetic and/or environmental risk factors lead to their occurring together more frequently or both? Our goal with this narrative review was to provide a conceptual synthesis of the associations between ADHD and non-mental disease across the lifespan. We discuss potential shared pathologic mechanisms, genetic background and treatments in co-occurring diseases. For those co-occurrences for which published studies with sufficient sample sizes exist, meta-analyses have been published by others and we discuss those in detail. We conclude that non-mental diseases are common in ADHD and vice versa and add to the disease burden of the patient across the lifespan. Insufficient attention to such co-occurring conditions may result in missed diagnoses and suboptimal treatment in the affected individuals.
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Affiliation(s)
- Sarah Kittel-Schneider
- Center of Mental Health, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Würzburg, Margarete-Höppel-Platz 1, D-97080 Würzburg, Germany; Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Heinrich-Hoffmann-Str. 10, D-60528 Frankfurt am Main, Germany.
| | - Gara Arteaga-Henriquez
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain; Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute (VHIR), Universitat Autonoma de Barcelona, Barcelona, Catalonia, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain; Department of Psychiatry and Forensic Medicine, Universitat Autonoma de Barcelona, Barcelona, Catalonia, Spain
| | - Alejandro Arias Vasquez
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Departments of Psychiatry and Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Phil Asherson
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, SE5 8AF, London, UK
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Heidelberg University, Medical Faculty Mannheim, Mannheim, Germany
| | - Isabell Brikell
- National Centre for Register-based Research, Department of Economics and Business Economics Aarhus BSS, Aarhus University, Fuglesangs Allé 26, DK-8210 Aarhus V, Aarhus, Denmark; iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark; Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Box 281, 171 77, Stockholm, Sweden
| | - Jan Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands; Karakter Child and Adolescent Psychiatry University Center, Nijmegen, the Netherlands
| | - Bru Cormand
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Catalonia, Spain; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Catalonia, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Spain; Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Catalonia, Spain
| | - Stephen V Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Christine M Freitag
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University, Deutschordenstraße 50, D-60528 Frankfurt am Main, Germany
| | - Ylva Ginsberg
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, Norra Stationsgatan 69, SE-113 64 Stockholm, Sweden
| | - Jan Haavik
- Bergen Center of Brain Plasticity, Division of Psychiatry, Haukeland University Hospital, Postboks 1400, 5021 Bergen, Norway; Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Catharina A Hartman
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), PO Box 30.001, 9700 RB, Groningen, the Netherlands
| | - Jonna Kuntsi
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, SE5 8AF, London, UK
| | - Henrik Larsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Box 281, 171 77, Stockholm, Sweden; Örebro University, School of Medical Sciences, Campus USÖ, S-701 82 Örebro, Sweden
| | - Silke Matura
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Heinrich-Hoffmann-Str. 10, D-60528 Frankfurt am Main, Germany
| | - Rhiannon V McNeill
- Center of Mental Health, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Würzburg, Margarete-Höppel-Platz 1, D-97080 Würzburg, Germany
| | - J Antoni Ramos-Quiroga
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain; Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute (VHIR), Universitat Autonoma de Barcelona, Barcelona, Catalonia, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain; Department of Psychiatry and Forensic Medicine, Universitat Autonoma de Barcelona, Barcelona, Catalonia, Spain
| | - Marta Ribases
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain; Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute (VHIR), Universitat Autonoma de Barcelona, Barcelona, Catalonia, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain; Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Catalonia, Spain
| | - Marcel Romanos
- Center of Mental Health, Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatic Medicine, University Hospital of Würzburg, Margarete-Höppel-Platz 1, D-97080 Würzburg, Germany
| | - Isabella Vainieri
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, SE5 8AF, London, UK
| | - Barbara Franke
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Departments of Psychiatry and Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Heinrich-Hoffmann-Str. 10, D-60528 Frankfurt am Main, Germany
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Messer LH, Weinzimer SA. Practical Diabetes Technology: Overcoming Barriers in the Real World. Diabetes Technol Ther 2021; 23:S159-S168. [PMID: 34061638 DOI: 10.1089/dia.2021.2511] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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