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Rasbach L, Purrington G, Adkins D, Benjamin R. Innovations: Using telemedicine to improve care of predominantly non-white youth with suboptimal insulin dependent diabetes control. Diabetes Res Clin Pract 2024; 210:111613. [PMID: 38484984 DOI: 10.1016/j.diabres.2024.111613] [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: 11/16/2023] [Revised: 02/15/2024] [Accepted: 03/11/2024] [Indexed: 03/17/2024]
Abstract
AIM Despite advances in diabetes treatments, youth commonly fail to meet glucose targets. Telehealth support may help youth meet diabetes related goals. The objective of the project was to assess whether intensive telehealth support in a group of poorly controlled youth with diabetes would help improve glycated hemoglobin (HbA1c) levels and decrease hospitalization rates over a 12-month time frame. METHODS This quality improvement project included youth aged 8-18 with suboptimal insulin dependent diabetes control and Medicaid insurance, who were willing to use continuous glucose monitoring (CGM). Participants received weekly contact (phone or video) with a certified diabetes educator and monthly video visits with a nurse practitioner. RESULTS Youth (N = 27, 63 % female, 89 % Non-Hispanic Black), diabetes duration 6.2 ± 4.3 years, had baseline mean HbA1c 12.4 ± 1.8 % (112 mmol/mol); 22 % were on pump therapy (majority were non-automated insulin delivery systems). There was a sustained improvement between baseline HbA1c (mean 12.4 %±1.8) (112 mmol/mol) and 3 months (mean 11.5 %±2.8) (102 mmol/mol) (p = 0.03), 6 months (mean 11.1 %±2.1) (98 mmol/mol) (p = 0.01), 9 months (mean 11.4 %±2.3) (101 mmol/mol) (p = 0.04) and 12 months (mean 10.8 %±2.2) (95 mmol/mol) (p = 0.02). CONCLUSION This intensive telehealth intervention provided interim glycemic improvement in a high-risk patient cohort. Further efforts to increase connection in vulnerable pediatric patient groups could help long-term diabetes management.
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Affiliation(s)
- Lisa Rasbach
- Division of Pediatric Endocrinology and Diabetes, Duke University Medical Center, Durham, NC, USA.
| | - Ginna Purrington
- Division of Pediatric Endocrinology and Diabetes, Duke University Medical Center, Durham, NC, USA
| | - Deanna Adkins
- Division of Pediatric Endocrinology and Diabetes, Duke University Medical Center, Durham, NC, USA
| | - Robert Benjamin
- Division of Pediatric Endocrinology and Diabetes, Duke University Medical Center, Durham, NC, USA
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2
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Wardell J, Albright D, Chang C, Plegue MA, Lee JE, Hirschfeld E, Garrity A, Lee JM, DeJonckheere M. Association Between Psychosocial Acuity and Glycemic Control in a Pediatric Type 1 Diabetes Clinic. Sci Diabetes Self Manag Care 2024; 50:116-129. [PMID: 38456252 PMCID: PMC11042759 DOI: 10.1177/26350106241232634] [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: 03/09/2024]
Abstract
PURPOSE The purpose of this study was to describe the frequency of psychosocial risk and its associations with glycemic levels in youth with type 1 diabetes (T1D) seen by social work staff during regular clinical care. METHODS A retrospective longitudinal analysis of observational clinical data was conducted. Individuals (1-26 years) with known T1D who were seen at a pediatric diabetes clinic in a US academic medical center between 2014 and 2021 were included. Variables included psychosocial acuity, A1C, and demographic characteristics. Chi-square tests, Wilcoxon rank sum tests, and mixed linear regressions were used to examine associations between demographic variables, psychosocial acuity, and A1C. RESULTS Of 966 patients, 513 (53.1%) were male, 76 (7.9%) were non-Hispanic Black, and 804 (83.2%) were non-Hispanic White. There was a mean of 6.9 annual social work encounters per patient, with 3 psychosocial domains measured at each visit. Results showed that as psychosocial acuity level increased, glycemic control decreased. There were significant differences in A1C according to race/ethnicity, insurance, age, and psychosocial acuity. CONCLUSIONS In a real-world clinical population, psychosocial acuity was associated with glycemic control. Presenting for psychosocial issues in their diabetes clinic was associated with reduced glycemic control among youth with T1D. There is an opportunity to connect pediatric patients with appropriate mental health services and psychosocial supports.
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Affiliation(s)
- Joseph Wardell
- School of Public Health, University of Michigan, Ann Arbor, Michigan
- Susan B. Meister Child Health Evaluation and Research Center, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan
| | - Dana Albright
- Parkview Mirro Center for Research and Innovation, Fort Wayne, Indiana
| | - Claire Chang
- University of Michigan Medical School, Ann Arbor, Michigan
| | - Melissa A Plegue
- Susan B. Meister Child Health Evaluation and Research Center, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan
| | - Jung Eun Lee
- Susan B. Meister Child Health Evaluation and Research Center, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan
| | - Emily Hirschfeld
- Susan B. Meister Child Health Evaluation and Research Center, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan
| | - Ashley Garrity
- Susan B. Meister Child Health Evaluation and Research Center, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan
| | - Joyce M Lee
- Susan B. Meister Child Health Evaluation and Research Center, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan
- Pediatric Endocrinology, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan
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Yayah Jones NH, Cole I, Hart KJ, Corathers S, Agarwal S, Odugbesan O, Ebekozien O, Kamboj MK, Harris MA, Fantasia KL, Mansour M. Social Determinants of Health Screening in Type 1 Diabetes Management. Endocrinol Metab Clin North Am 2024; 53:93-106. [PMID: 38272601 DOI: 10.1016/j.ecl.2023.09.006] [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: 01/27/2024]
Abstract
Type 1 diabetes management is intricately influenced by social determinants of health. Economic status impacts access to vital resources like insulin and diabetes technology. Racism, social injustice, and implicit biases affect equitable delivery of care. Education levels affect understanding of self-care, leading to disparities in glycemic outcomes. Geographic location can limit access to health care facilities. Stressors from discrimination or financial strain can disrupt disease management. Addressing these social factors is crucial for equitable diabetes care, emphasizing the need for comprehensive strategies that go beyond medical interventions to ensure optimal health outcomes for all individuals with type 1 diabetes.
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Affiliation(s)
- Nana-Hawa Yayah Jones
- Division of Pediatric Endocrinology, Cincinnati Children's Hospital Medical Center, University of Cincinnati, 3333 Burnet Avenue, MLC 7012, Cincinnati, OH 45229-3039, USA.
| | - India Cole
- James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 15018, Cincinnati, OH 45229-3039, USA
| | - Kelsey J Hart
- James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 15018, Cincinnati, OH 45229-3039, USA
| | - Sarah Corathers
- Division of Pediatric Endocrinology, Cincinnati Children's Hospital Medical Center, University of Cincinnati, 3333 Burnet Avenue, MLC 7012, Cincinnati, OH 45229-3039, USA
| | - Shivani Agarwal
- Fleischer Institute for Diabetes and Metabolism, New York Regional Center for Diabetes Translation Research, Albert Einstein College of Medicine, 1180 Morris Park Avenue, Bronx, NY 10467, USA
| | - Ori Odugbesan
- T1D Exchange, QI & Population Health Department, 101 Federal Street Suite 440, Boston, MA 02110, USA
| | - Osagie Ebekozien
- T1D Exchange, QI & Population Health Department, 101 Federal Street Suite 440, Boston, MA 02110, USA
| | - Manmohan K Kamboj
- The Ohio State University College of Medicine, Section of Endocrinology, Quality Improvement for Endocrinology, Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH 43205, USA
| | - Michael A Harris
- Oregon Health & Science University, Harold Schnitzer Diabetes Health Center, 707 SW Gaines Street, Portland, OR 97239, USA
| | - Kathryn L Fantasia
- Section of Endocrinology, Diabetes, and Nutrition, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 E Concord, C3, Boston, MA 02118, USA
| | - Mona Mansour
- Division of Pediatric Endocrinology, Cincinnati Children's Hospital Medical Center, University of Cincinnati, 3333 Burnet Avenue, MLC 7012, Cincinnati, OH 45229-3039, USA; University of Cincinnati College of Medicine, Department of Pediatrics, Population Health- CCHMC, Division of General and Community Pediatrics, Community Engagement- HealthVine, CCHMC Coordinated School Strategy, Cincinnati Children's Hospital Medical Center, University of Cincinnati, 3333 Burnet Avenue, MLC 15018, Cincinnati, OH 45229-3039, USA
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4
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Maguolo A, Mazzuca G, Smart CE, Maffeis C. Postprandial glucose metabolism in children and adolescents with type 1 diabetes mellitus: potential targets for improvement. Eur J Clin Nutr 2024; 78:79-86. [PMID: 37875611 DOI: 10.1038/s41430-023-01359-8] [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: 03/27/2023] [Revised: 10/05/2023] [Accepted: 10/11/2023] [Indexed: 10/26/2023]
Abstract
The main goal of therapeutic management of type 1 Diabetes Mellitus (T1DM) is to maintain optimal glycemic control to prevent acute and long-term diabetes complications and to enable a good quality of life. Postprandial glycemia makes a substantial contribution to overall glycemic control and variability in diabetes and, despite technological advancements in insulin treatments, optimal postprandial glycemia is difficult to achieve. Several factors influence postprandial blood glucose levels in children and adolescents with T1DM, including nutritional habits and adjustment of insulin doses according to meal composition. Additionally, hormone secretion, enteroendocrine axis dysfunction, altered gastrointestinal digestion and absorption, and physical activity play important roles. Meal-time routines, intake of appropriate ratios of macronutrients, and correct adjustment of the insulin dose for the meal composition have positive impacts on postprandial glycemic variability and long-term cardiometabolic health of the individual with T1DM. Further knowledge in the field is necessary for management of all these factors to be part of routine pediatric diabetes education and clinical practice. Thus, the aim of this report is to review the main factors that influence postprandial blood glucose levels and metabolism, focusing on macronutrients and other nutritional and lifestyle factors, to suggest potential targets for improving postprandial glycemia in the management of children and adolescents with T1DM.
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Affiliation(s)
- Alice Maguolo
- Section of Pediatric Diabetes and Metabolism, Department of Surgery, Dentistry, Pediatrics, and Gynecology, University of Verona, Verona, Italy.
| | - Giorgia Mazzuca
- Section of Pediatric Diabetes and Metabolism, Department of Surgery, Dentistry, Pediatrics, and Gynecology, University of Verona, Verona, Italy
| | - Carmel E Smart
- School of Health Sciences, University of Newcastle, Callaghan, NSW, Australia
- Department of Paediatric Diabetes and Endocrinology, John Hunter Children's Hospital, Newcastle, NSW, Australia
| | - Claudio Maffeis
- Section of Pediatric Diabetes and Metabolism, Department of Surgery, Dentistry, Pediatrics, and Gynecology, University of Verona, Verona, Italy
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Henry Z, Villar Fimbel S, Bendelac N, Perge K, Thivolet C. Beneficial effects of automated insulin delivery over one-year follow-up in real life for youths and adults with type 1 diabetes irrespective of patient characteristics. Diabetes Obes Metab 2024; 26:557-566. [PMID: 37905353 DOI: 10.1111/dom.15344] [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: 07/09/2023] [Revised: 10/04/2023] [Accepted: 10/04/2023] [Indexed: 11/02/2023]
Abstract
AIM To investigate glycaemic outcomes in youths and adults with type 1 diabetes with either MiniMed™ 780G or Tandem t:slim X2™ control-IQ automated insulin delivery (AID) systems and to evaluate clinical factors that migrate, mitigate the achievement of therapeutic goals. MATERIALS AND METHODS This retrospective, real-world, observational study was conducted in a specialized university type 1 diabetes centre with patients observed for 3-12 months post-initiation of an AID system. Primary outcomes were the percentage time in the target glucose range [TIR70-180 mg/dl (3.9-10 mmol/L)] as measured by continuous glucose monitoring, mean glucose management indicator (GMI) and glycated haemoglobin (HbA1c) levels. RESULTS Our study cohort consisted of 48 adolescents and 183 adults (55% females) aged 10-77 years. The mean (95% confidence interval) TIR70-180 mg/dl after 30 days was higher than baseline and by 14% points after 360 days with 71.33% (69.4-73.2) (n = 123, p < .001). HbA1c levels decreased by 0.7% and GMI by 0.6% after 360 days. The proportion of time spent <70 mg/dl (3.9 mmol/L) was not significantly different from baseline. During follow-up, 780G users had better continuous glucose monitoring results than control-IQ users but similar HbA1c levels, and an increased risk of weight gain. Age at onset influenced TIR70-180 mg/dl in univariate analysis but there was no significant relationship after adjusting on explanatory variables. Baseline body mass index did not influence the performance of AID systems. CONCLUSIONS This analysis showed the beneficial effects of two AID systems for people with type 1 diabetes across a broad spectrum of participant characteristics. Only half of the participants achieved international recommendations for glucose control with TIR70-180 mg/dl >70%, HbA1c levels or GMI <7%, which outlines the need to maintain strong educational and individual strategies.
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Affiliation(s)
- Zoé Henry
- Centre for Diabetes DIAB-eCARE, Hospices Civils de Lyon, Lyon, France
| | | | - Nathalie Bendelac
- Centre for Diabetes DIAB-eCARE, Hospices Civils de Lyon, Lyon, France
- Department of paediatric Endocrinology and Diabetes, Hospices Civils de Lyon, Bron, France
| | - Kevin Perge
- Department of paediatric Endocrinology and Diabetes, Hospices Civils de Lyon, Bron, France
| | - Charles Thivolet
- Centre for Diabetes DIAB-eCARE, Hospices Civils de Lyon, Lyon, France
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Chang R, Philip J, Javed U, Titus A, Gardezi SK, Kundi H, Yousefzai R, Hyder AA, Mossialos E, Nasir K, Javed Z. Unfavorable social determinants of health and risk of mortality in adults with diabetes: findings from the National Health Interview Survey. BMJ Open Diabetes Res Care 2024; 12:e003710. [PMID: 38290988 PMCID: PMC10828867 DOI: 10.1136/bmjdrc-2023-003710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 12/23/2023] [Indexed: 02/01/2024] Open
Abstract
INTRODUCTION Understanding the role of social determinants of health as predictors of mortality in adults with diabetes may help improve health outcomes in this high-risk population. Using population-based, nationally representative data, this study investigated the cumulative effect of unfavorable social determinants on all-cause mortality in adults with diabetes. RESEARCH DESIGN AND METHODS We used data from the 2013-2018 National Health Interview Survey, linked to the National Death Index through 2019, for mortality ascertainment. A total of 47 individual social determinants of health were used to categorize participants in quartiles denoting increasing levels of social disadvantage. Poisson regression was used to report age-adjusted mortality rates across increasing social burden. Multivariable Cox proportional hazards models were used to assess the association between cumulative social disadvantage and all-cause mortality in adults with diabetes, adjusting for traditional risk factors. RESULTS The final sample comprised 182 445 adults, of whom 20 079 had diabetes. In the diabetes population, mortality rate increased from 1052.7 per 100 000 person-years in the first quartile (Q1) to 2073.1 in the fourth quartile (Q4). In multivariable models, individuals in Q4 experienced up to twofold higher mortality risk relative to those in Q1. This effect was observed similarly across gender and racial/ethnic subgroups, although with a relatively stronger association for non-Hispanic white participants compared with non-Hispanic black and Hispanic subpopulations. CONCLUSIONS Cumulative social disadvantage in individuals with diabetes is associated with over twofold higher risk of mortality, independent of established risk factors. Our findings call for action to screen for unfavorable social determinants and design novel interventions to mitigate the risk of mortality in this high-risk population.
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Affiliation(s)
- Ryan Chang
- Baylor College of Medicine, Houston, Texas, USA
| | - Jerrin Philip
- Houston Methodist Academic Institute, Houston, Texas, USA
| | - Umair Javed
- Combined Military Hospital Lahore, Lahore, Pakistan
| | - Anoop Titus
- Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA
| | | | - Harun Kundi
- Houston Methodist Academic Institute, Houston, Texas, USA
| | - Raman Yousefzai
- AT Still University Kirksville College of Osteopathic Medicine, Kirksville, Missouri, USA
| | - Adnan A Hyder
- George Washington University Milken Institute School of Public Health, Washington, DC, USA
| | - Elias Mossialos
- Health Policy, The London School of Economics and Political Science, London, UK
| | - Khurram Nasir
- Houston Methodist Academic Institute, Houston, Texas, USA
- Center for Cardiovascular Computational Health and Precision Medicine, Houston Methodist Hospital, Houston, Texas, USA
- Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA
| | - Zulqarnain Javed
- Houston Methodist Academic Institute, Houston, Texas, USA
- Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA
- Center for Cardiovascular Computational Health and Precision Medicine, Houston Methodist Hospital, Houston, Texas, USA
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7
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Berot A, Morsa M, De Andrade V, Gagnayre R, Bihan H. Lack of consideration of socioeconomic factors in transition programme of adolescents with type 1 diabetes: A systematic review. Diabet Med 2024; 41:e15225. [PMID: 37714193 DOI: 10.1111/dme.15225] [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: 05/09/2023] [Revised: 09/05/2023] [Accepted: 09/10/2023] [Indexed: 09/17/2023]
Abstract
The transition of adolescents with type 1 diabetes should be organized such that loss of follow-up and deterioration of patients' metabolic control are minimized. OBJECTIVE Our study aimed to ascertain whether socioeconomic status is featured in the characteristics of adolescents with type 1 diabetes in transition programmes and their inclusion in transition programmes. RESEARCH DESIGN AND METHODS A systematic review of the literature was performed according to PRISMA recommendations. All articles published between 2010 and 2023 were considered. Studies that described a transition programme for adolescents or young adults with T1DM were included. RESULTS After screening, 18 studies were included. Different transition programmes were proposed (exchanges between professionals, coordinators, and transition clinics). Nine articles described socio-economic factors. The educational level was the most frequently reported. Only three studies evaluated the impact of one parameter on transition success: a lower education level was associated with more hospital visits for hyperglycaemia, and the other did not report any socioeconomic factor associated with clinic attendance. CONCLUSIONS The socioeconomic status of type 1 diabetes is poorly described in transition programmes, and the few that do make mention of it, offer little information about patient management.
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Affiliation(s)
- Aurelie Berot
- CHU Reims - American Memorial Hospital - Pediatrics, Reims, France
- University Sorbonne Paris Nord, Laboratoire Éducations et Promotion de la Santé, LEPS, Villetaneuse, France
| | - Maxime Morsa
- University Sorbonne Paris Nord, Laboratoire Éducations et Promotion de la Santé, LEPS, Villetaneuse, France
| | - Vincent De Andrade
- University Sorbonne Paris Nord, Laboratoire Éducations et Promotion de la Santé, LEPS, Villetaneuse, France
| | - Remi Gagnayre
- University Sorbonne Paris Nord, Laboratoire Éducations et Promotion de la Santé, LEPS, Villetaneuse, France
| | - Hélène Bihan
- University Sorbonne Paris Nord, Laboratoire Éducations et Promotion de la Santé, LEPS, Villetaneuse, France
- Endocrinology, Diabetology, Nutrition, Avicenne Hospital, APHP, Bobigny, France
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Pironetti R, Saha M, Luukkaala T, Keskinen P. Sociodemographic factors affecting glycaemic control in Finnish paediatric patients with type 1 diabetes. Endocrinol Diabetes Metab 2023; 6:e452. [PMID: 37749959 PMCID: PMC10638615 DOI: 10.1002/edm2.452] [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: 07/03/2023] [Revised: 09/02/2023] [Accepted: 09/04/2023] [Indexed: 09/27/2023] Open
Abstract
AIMS Socioeconomic problems may present significant challenges when trying to reach optimal glycaemic control in paediatric patients with type 1 diabetes. We examined sociodemographic factors affecting metabolic control in patients in one of the biggest paediatric diabetes clinics in Finland. METHODS One hundred ninety-one children (age 2-15 years; median 11 years; 47% female) with type 1 diabetes and their families were recruited during outpatient visits in the paediatric diabetes clinic of Tampere University Hospital, Finland. The participants completed a questionnaire on the family's sociodemographic background. The child's glycaemic control was assessed by both glycosylated haemoglobin (HbA1c) and time in range (TIR). Risk factors for poor (HbA1c ≥75 mmol/mol; TIR <40%) and optimal (HbA1c <53 mmol/mol; TIR ≥70%) metabolic control were searched using logistic regression analyses. RESULTS Living in a nuclear family, male gender, younger age and a school assistant for diabetes management were associated with the simultaneous presence of both indicators of optimal metabolic control. Poor glycaemic control, as estimated by HbA1c, was associated with lower parental education and the child's older age. Parental smoking and the child's older age were associated with poor TIR. CONCLUSION This study confirms the importance of sociodemographic factors in care of Finnish paediatric patients with type 1 diabetes. Sociodemographic status markers of the family could be used as triggers to alert paediatric diabetes teams to offer more tailored care to families with new-onset type 1 diabetes mellitus.
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Affiliation(s)
- Riina Pironetti
- Department of PaediatricsTampere University HospitalTampereFinland
- Faculty of Medicine and Health TechnologyTampere UniversityTampereFinland
| | - Marja‐Terttu Saha
- Faculty of Medicine and Health TechnologyTampere UniversityTampereFinland
| | - Tiina Luukkaala
- Research, Development and Innovation CenterTampere University HospitalTampereFinland
- Faculty of Sciences, Health SciencesTampere UniversityTampereFinland
| | - Päivi Keskinen
- Department of PaediatricsTampere University HospitalTampereFinland
- Faculty of Medicine and Health TechnologyTampere UniversityTampereFinland
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Berot A, Bihan H. [The value of assessing the socioeconomic context during the transition of adolescents with type 1 diabetes]. SOINS. PEDIATRIE, PUERICULTURE 2023; 44:24-26. [PMID: 37980157 DOI: 10.1016/j.spp.2023.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/20/2023]
Abstract
The follow-up of diabetic patients is marked by a period of transition from pediatric care to adult services. The major challenge of this transition is to ensure continuity of care under the best possible conditions. Socio-economic factors must be taken into account to ensure that care is adapted to patients' needs.
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Affiliation(s)
- Aurélie Berot
- CHU Reims, American Memorial Hospital, 47 rue Cognacq-Jay, 51000 Reims, France; Université Sorbonne Paris Nord, laboratoire éducations et promotion de la santé, UR 3412, 74 rue Marcel-Cachin, 93017 Bobigny, France.
| | - Hélène Bihan
- Université Sorbonne Paris Nord, laboratoire éducations et promotion de la santé, UR 3412, 74 rue Marcel-Cachin, 93017 Bobigny, France; Service d'endocrinologie, diabétologie, nutrition, hôpital Avicenne, AP-HP, 125 rue de Stalingrad, 93000 Bobigny, France
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10
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Snow S, Thivierge M, Seel M, Brown E, Akhtar Y, Wolf RM. A Brief Nutrition Questionnaire for Children With Newly Diagnosed Type 1 Diabetes. Clin Diabetes 2023; 41:192-197. [PMID: 37092164 PMCID: PMC10115615 DOI: 10.2337/cd22-0031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Carbohydrate counting is an important component of type 1 diabetes management that is taught at the time of diagnosis. We implemented and validated a nutrition quiz to assess fundamental carbohydrate counting and nutrition knowledge in newly diagnosed patients. An interactive standard assessment for newly diagnosed type 1 diabetes patients was feasible and reliable to implement for patients and caregivers, but participants with public insurance scored lower overall. This assessment may help to identify nutrition knowledge gaps and provide opportunities for timely education, and providers should place additional focus on nutrition education for patients with public insurance.
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Affiliation(s)
- Shani Snow
- Department of Pediatrics, Division of Endocrinology, Johns Hopkins Hospital, Baltimore, MD
| | - Meredith Thivierge
- Department of Pediatric Nutrition, Johns Hopkins Hospital, Baltimore, MD
| | - Maureen Seel
- Department of Pediatrics, Division of Endocrinology, Johns Hopkins Hospital, Baltimore, MD
- Department of Pediatric Nutrition, Johns Hopkins Hospital, Baltimore, MD
| | - Elizabeth Brown
- Department of Pediatrics, Division of Endocrinology, Johns Hopkins Hospital, Baltimore, MD
| | - Yasmin Akhtar
- Department of Pediatrics, Division of Endocrinology, Johns Hopkins Hospital, Baltimore, MD
| | - Risa M. Wolf
- Department of Pediatrics, Division of Endocrinology, Johns Hopkins Hospital, Baltimore, MD
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March CA, Nanni M, Lutz J, Kavanaugh M, Jeong K, Siminerio LM, Rothenberger S, Miller E, Libman IM. Comparisons of school-day glycemia in different settings for children with type 1 diabetes using continuous glucose monitoring. Pediatr Diabetes 2023; 2023:8176606. [PMID: 37929231 PMCID: PMC10623999 DOI: 10.1155/2023/8176606] [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] [Indexed: 11/07/2023] Open
Abstract
Objective Using continuous glucose monitoring (CGM), we examined patterns in glycemia during school hours for children with type 1 diabetes, exploring differences between school and non-school time. Methods We conducted a retrospective analysis of CGM metrics in children 7-12 years (n=217, diabetes duration 3.5±2.5 years, hemoglobin A1c 7.5±0.8%). Metrics were obtained for weekday school hours (8 AM to 3 PM) during four weeks in fall 2019. Two comparison settings included weekend (fall 2019) and weekday (spring 2020) data when children had transitioned to virtual school due to COVID-19. We used multilevel mixed models to examine factors associated with time in range (TIR) and compare glycemia between in-school, weekends, and virtual school. Results Though CGM metrics were clinically similar across settings, TIR was statistically higher, and time above range (TAR), mean glucose, and standard deviation (SD) lower, for weekends and virtual school (p<0.001). Hour and setting exhibited a significant interaction for several metrics (p<0.001). TIR in-school improved from a mean of 40.9% at the start of the school day to 58.0% later in school, with a corresponding decrease in TAR. TIR decreased on weekends (60.8 to 50.7%) and virtual school (62.2 to 47.8%) during the same interval. Mean glucose exhibited a similar pattern, though there was little change in SD. Younger age (p=0.006), lower hemoglobin A1c (p<0.001), and insulin pump use (p=0.02) were associated with higher TIR in-school. Conclusion Although TIR was higher for weekends and virtual school, glycemic metrics improve while in-school, possibly related to beneficial school day routines.
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Affiliation(s)
| | - Michelle Nanni
- School of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - James Lutz
- School of Arts and Sciences, University of Pittsburgh, Pittsburgh, PA
| | - Madison Kavanaugh
- Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA
| | - Kwonho Jeong
- Center for Research on Health Care Data Center, University of Pittsburgh, Pittsburgh, PA
| | | | - Scott Rothenberger
- Center for Research on Health Care Data Center, University of Pittsburgh, Pittsburgh, PA
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Elizabeth Miller
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA
| | - Ingrid M Libman
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA
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Annan SF, Higgins LA, Jelleryd E, Hannon T, Rose S, Salis S, Baptista J, Chinchilla P, Marcovecchio ML. ISPAD Clinical Practice Consensus Guidelines 2022: Nutritional management in children and adolescents with diabetes. Pediatr Diabetes 2022; 23:1297-1321. [PMID: 36468223 DOI: 10.1111/pedi.13429] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 09/30/2022] [Indexed: 12/07/2022] Open
Affiliation(s)
- S Francesca Annan
- Paediatric Division, University College London Hospitals, London, UK
| | - Laurie A Higgins
- Pediatric, Adolescent and Young Adult Section, Joslin Diabetes Center, Boston, Massachusetts, USA
| | - Elisabeth Jelleryd
- Medical Unit Clinical Nutrition, Karolinska University Hospital, Stockholm, Sweden
| | - Tamara Hannon
- School of Medicine, Indiana University, Indianapolis, Indiana, USA
| | - Shelley Rose
- Diabetes & Endocrinology Service, MidCentral District Health Board, Palmerston North, New Zealand
| | - Sheryl Salis
- Department of Nutrition, Nurture Health Solutions, Mumbai, India
| | | | - Paula Chinchilla
- Women's and Children's Department, London North West Healthcare NHS Trust, London, UK
| | - Maria Loredana Marcovecchio
- Department of Paediatrics, University of Cambridge and Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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13
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The Association of Personality Traits and Parameters of Glycemic Regulation in Type 1 Diabetes Mellitus Patients Using isCGM. Healthcare (Basel) 2022; 10:healthcare10091792. [PMID: 36141404 PMCID: PMC9498785 DOI: 10.3390/healthcare10091792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 09/13/2022] [Accepted: 09/14/2022] [Indexed: 11/17/2022] Open
Abstract
This study aimed to examine the impact of personality on glycemic regulation in adult patients with type 1 diabetes mellitus (T1DM). The study group consisted of subjects with T1DM, who were ≥ 18 years of age. The study was conducted in two phases: At baseline, subjects completed the Croatian version of the International Personality Item Pool scale (IPIP50s) and a questionnaire designed to gather socioeconomic data, duration of diabetes, presence of chronic complications, presence of cardiovascular risk factors, frequency, and type of pre-existing hypoglycemic episodes per week. Blood and urine samples were collected and body mass index (BMI) was calculated. Each participant was provided with the intermittently scanned glucose monitoring system (isCGM) Freestyle Libre. During the second visit (3 months from the start of the trial), glycemic parameters were collected from the reports generated from the Freestyle Libre system. Estimated glycated hemoglobin (HbA1c) values were significantly lower after three months compared to baseline HbA1c (Wilcoxon test, p < 0.001). An inverse correlation between the number of daily scans and degree of extraversion among subjects was observed, e.g., higher degrees of extraversion resulted in lower numbers of daily scans, while lower degrees of extraversion, i.e., introvertedness, resulted in higher numbers of daily scans (Rho = −0.238 p = 0.009). There was a positive correlation between emotional stability and time spent in hypoglycemia (Rho = 0.214; p = 0.02). In addition, a shorter duration of diabetes was associated with higher percentages of TIR and vice versa (p = 0.02). Investigating personality traits can be a useful tool for identifying patients predisposed to hypoglycemia and lower scanning frequency. Patients with a longer history of T1DM require closer follow-up and should be re-educated when necessary.
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User-centred development of an mHealth app for youth with type 1 diabetes: the challenge of operationalizing desired features and feasibility of offering financial incentives. HEALTH AND TECHNOLOGY 2022. [DOI: 10.1007/s12553-022-00656-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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15
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Finnan M, Agarwal S. Identifying and Reducing Disparities in Young Adults With Diabetes. Diabetes Spectr 2021; 34:336-344. [PMID: 34866866 PMCID: PMC8603125 DOI: 10.2337/dsi21-0010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
This article outlines how social and health care determinants can affect young adults with diabetes. The authors provide a detailed description of each determinant's influence on diabetes self-management and offer solutions to help mitigate these harmful effects.
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Affiliation(s)
- Molly Finnan
- Department of Endocrinology, Albert Einstein College of Medicine, Bronx, NY
| | - Shivani Agarwal
- Fleischer Institute of Diabetes and Metabolism, New York Regional Center for Diabetes Translation Research, Division of Endocrinology, Albert Einstein College of Medicine, Bronx, NY
- Corresponding author: Shivani Agarwal,
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Liese AD, Reboussin BA, Kahkoska AR, Frongillo EA, Malik FS, Imperatore G, Saydah S, Bellatorre A, Lawrence JM, Dabelea D, Mendoza JA. Inequalities in Glycemic Control in Youth with Type 1 Diabetes Over Time: Intersectionality Between Socioeconomic Position and Race and Ethnicity. Ann Behav Med 2021; 56:461-471. [PMID: 34570884 DOI: 10.1093/abm/kaab086] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Racial/ethnic health inequities have been well-documented among youth and young adults with type 1 diabetes (T1D), yet little is known about how socioeconomic position (SEP) intersects with the risk marker of race/ethnicity to predict inequities in longitudinal glycemic control. PURPOSE To identify patterns of SEP, race/ethnicity, and clinical characteristics that differentiate hemoglobin A1c (HbA1c) trajectories among youth and young adults after T1D diagnosis. METHODS The SEARCH for Diabetes in Youth cohort includes youth with diabetes diagnosed from 2002 to 2006 and 2008 who were followed through 2015. We analyzed data from 1,313 youth and young adults with T1D with ≥3 HbA1c measures. Classification tree analysis identified patterns of baseline demographic, SEP, and clinical characteristic that best predicted HbA1c trajectories over an average of 8.3 years using group-based trajectory modeling. RESULTS Two HbA1c trajectories were identified: Trajectory 1 (77%) with lower baseline HbA1c and mild increases (from mean 7.4% to 8.4%) and Trajectory 2 (23%) with higher baseline HbA1c and major increases (from 8.5% to 11.2%). Race/ethnicity intersected with different SEP characteristics among non-Hispanic white (NHW) than in non-whites. Public health insurance predicted high-risk Trajectory 2 membership in non-whites, whereas parental education, household structure, diagnosis age and glucose checking frequency predicted membership for NHW youth and young adults. Two characteristics, race/ethnicity and parental education alone identified 80% of the Trajectory 2 members. CONCLUSIONS Race/ethnicity intersects with multiple SEP and clinical characteristics among youth and young adults with T1D, which is associated with particularly high risk of poor long-term glycemic control.
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Affiliation(s)
- Angela D Liese
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Beth A Reboussin
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Anna R Kahkoska
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Edward A Frongillo
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Faisal S Malik
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Giuseppina Imperatore
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA, USA
| | - Sharon Saydah
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA, USA
| | - Anna Bellatorre
- Department of Epidemiology and LEAD Center, Colorado School of Public Health, Aurora, CO, USA
| | - Jean M Lawrence
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Dana Dabelea
- Department of Epidemiology and LEAD Center, Colorado School of Public Health, Aurora, CO, USA
| | - Jason A Mendoza
- Fred Hutchinson Cancer Research Center, University of Washington, and Seattle Children's Research Institute, Seattle, WA, USA
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