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Mottl AK, Tryggestad JB, Isom S, Gubitosi-Klug RA, Henkin L, White NH, D'Agostino R, Hughan KS, Dolan LM, Drews KL. Major adverse events in youth-onset type 1 and type 2 diabetes: The SEARCH and TODAY studies. Diabetes Res Clin Pract 2024; 210:111606. [PMID: 38493952 PMCID: PMC11103672 DOI: 10.1016/j.diabres.2024.111606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 02/20/2024] [Accepted: 03/04/2024] [Indexed: 03/19/2024]
Abstract
AIMS To determine contemporary incidence rates and risk factors for major adverse events in youth-onset T1D and T2D. METHODS Participant interviews were conducted once during in-person visits from 2018 to 2019 in SEARCH (T1D: N = 564; T2D: N = 149) and semi-annually from 2014 to 2020 in TODAY (T2D: N = 495). Outcomes were adjudicated using harmonized, predetermined, standardized criteria. RESULTS Incidence rates (events per 10,000 person-years) among T1D participants were: 10.9 ophthalmologic; 0 kidney; 11.1 nerve, 3.1 cardiac; 3.1 peripheral vascular; 1.6 cerebrovascular; and 15.6 gastrointestinal events. Among T2D participants, rates were: 40.0 ophthalmologic; 6.2 kidney; 21.2 nerve; 21.2 cardiac; 10.0 peripheral vascular; 5.0 cerebrovascular and 42.8 gastrointestinal events. Despite similar mean diabetes duration, complications were higher in youth with T2D than T1D: 2.5-fold higher for microvascular, 4.0-fold higher for macrovascular, and 2.7-fold higher for gastrointestinal disease. Univariate logistic regression analyses in T1D associated age at diagnosis, female sex, HbA1c and mean arterial pressure (MAP) with microvascular events. In youth-onset T2D, composite microvascular events associated positively with MAP and negatively with BMI, however composite macrovascular events associated solely with MAP. CONCLUSIONS In youth-onset diabetes, end-organ events were infrequent but did occur before 15 years diabetes duration. Rates were higher and had different risk factors in T2D versus T1D.
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Affiliation(s)
- Amy K Mottl
- University of North Carolina Kidney Center, UNC School of Medicine, Chapel Hill, NC, United States.
| | - Jeanie B Tryggestad
- University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Scott Isom
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Rose A Gubitosi-Klug
- Rainbow Babies and Children's Hospital and Case Western Reserve University School of Medicine, Cleveland, OH, United States
| | - Leora Henkin
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Neil H White
- Washington University in St. Louis School of Medicine, St. Louis, MO, United States
| | - Ralph D'Agostino
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Kara S Hughan
- UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, United States
| | - Lawrence M Dolan
- University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Kimberly L Drews
- The Biostatistics Center, George Washington University, Rockville, MD, United States
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Liese AD, Brown AD, Frongillo EA, Julceus EF, Sauder KA, Reboussin BA, Bellatorre A, Dolan LM, Reynolds K, Pihoker C, Mendoza JA. Properties of the Household Food Security Survey Module Scale in Young Adults with Diabetes. J Nutr 2024; 154:1050-1057. [PMID: 38311064 PMCID: PMC10942855 DOI: 10.1016/j.tjnut.2024.01.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 12/11/2023] [Accepted: 01/16/2024] [Indexed: 02/06/2024] Open
Abstract
BACKGROUND The Household Food Security Survey Module (HFSSM) was not tailored to people with chronic diseases or young adults (YAs). OBJECTIVES We aim to evaluate whether the 18-item HFSSM meets assumptions underlying the scale among YAs with diabetes. METHODS Data from 1887 YAs with youth-onset type 1 diabetes or type 2 diabetes were used from the SEARCH for Diabetes in Youth Study, 2016-2019, and on 925 who returned for the SEARCH Food Security Cohort Study, 2018-2021, all of whom had completed the HFSSM. Guttman scaling properties (affirmation of preceding less severe items) and Rasch model properties (probability to answer an item based on difficulty level) were assessed. RESULTS Items 3 (balanced meals) and 6 (eating less than one should) were affirmed more frequently than expected (nonmonotonic response pattern). At 1.2%-3.5%, item nonresponse was rare among type 1 diabetes but higher among type 2 diabetes (range: 3.1%-10.6%). Items 9 (not eating the whole day) and 3 did not meet the Guttman scaling properties. Rasch modeling revealed that item 3 had the smallest difficulty parameter. INFIT indices suggested that some responses to item 3 did not match the pattern in the rest of the sample. Classifying household food insecurity (HFI) based on items 1 and 2 compared with other 2-item combinations, including item 3, revealed a substantial undercount of HFI ranging from 5% to 8% points. CONCLUSIONS Use of the HFSSM among YAs with diabetes could potentially result in biased HFI reporting and affect estimates of HFI prevalence in this population.
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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, United States.
| | - Andrea D Brown
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
| | - Edward A Frongillo
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
| | - Emmanuel F Julceus
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
| | - Katherine A Sauder
- Department of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Beth A Reboussin
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Anna Bellatorre
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD Center), Colorado School of Public Health, Aurora, CO, United States
| | - Lawrence M Dolan
- Department of Pediatrics, Cincinnati Children's Hospital, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Kristi Reynolds
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States
| | - Catherine Pihoker
- Division of Endocrinology and Diabetes, Department of Pediatrics, University of Washington, and Seattle Children's Research Institute, Seattle, WA, United States
| | - Jason A Mendoza
- Fred Hutchinson Cancer Center, University of Washington, and Seattle Children's Research Institute, Seattle, WA, United States
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Eitel KB, Roberts AJ, D’Agostino R, Barrett CE, Bell RA, Bellatorre A, Cristello A, Dabelea D, Dolan LM, Jensen ET, Liese AD, Reynolds K, Marcovina SM, Pihoker C. Diabetes Stigma and Psychosocial Outcomes in Adolescents and Young Adults: The SEARCH for Diabetes in Youth Study. Diabetes Care 2024; 47:290-294. [PMID: 38051782 PMCID: PMC10834385 DOI: 10.2337/dc23-1453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 11/21/2023] [Indexed: 12/07/2023]
Abstract
OBJECTIVE To examine the association between diabetes stigma, socioeconomic status, psychosocial variables, and substance use in adolescents and young adults (AYAs) with type 1 or type 2 diabetes. RESEARCH DESIGN AND METHODS This is a cross-sectional analysis of AYAs from the SEARCH for Diabetes in Youth study who completed a survey on diabetes-related stigma, generating a total diabetes stigma score. Using multivariable modeling, stratified by diabetes type, we examined the relationship of diabetes stigma with variables of interest. RESULTS Of the 1,608 AYAs who completed the diabetes-related stigma survey, 78% had type 1 diabetes, and the mean age was 21.7 years. Higher diabetes stigma scores were associated with food insecurity (P = 0.001), disordered eating (P < 0.0001), depressive symptoms (P < 0.0001), and decreased health-related (P < 0.0001) and diabetes-specific quality of life (P < 0.0001). CONCLUSIONS Diabetes stigma is associated with food insecurity, disordered eating, and lower psychosocial well-being.
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Affiliation(s)
- Kelsey B. Eitel
- University of Washington, Department of Pediatrics, Seattle, WA
| | | | | | | | - Ronny A. Bell
- University of North Carolina at Chapel Hill, Chapel Hill, NC
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Julceus EF, Frongillo EA, Mendoza JA, Sauder KA, Malik FS, Jensen ET, Dolan LM, Bellatorre A, Dabelea D, Reboussin BA, Reynolds K, Pihoker C, Liese AD. Self-Reported Food Security in Adolescents with Type 1 Diabetes: Association with Hemoglobin A 1c and Mental Health Symptoms Independent of Household Food Security. J Nutr 2024; 154:543-553. [PMID: 38072157 PMCID: PMC10900134 DOI: 10.1016/j.tjnut.2023.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 11/17/2023] [Accepted: 12/06/2023] [Indexed: 12/28/2023] Open
Abstract
BACKGROUND Typically, child exposure to food insecurity is assessed by caregiver reports of household food security. Child report has the potential for greater accuracy because it pertains only to the child whose experiences may differ from caregiver reports. OBJECTIVE We assessed if adolescent-reported food insecurity was associated with levels of hemoglobin A1c (HbA1c), acute diabetes-related complications, depressive symptoms, and disordered eating behaviors in adolescents with type 1 diabetes, independently from household food security. METHODS In a cross-sectional analysis of the multicenter SEARCH for Diabetes in Youth Cohort Study (phase 4, 2016-2019) including 601 adolescents aged 10-17 y with type 1 diabetes and their caregivers, household food security, and adolescent-reported food security were assessed using the 18-item Household Food Security Survey Module and the 6-item Child Food Security Assessment questionnaire. Age-stratified (10-13 and 14-17) regression models were performed to estimate independent associations, adjusting for sociodemographics, clinical factors, and household food security. RESULTS Food insecurity was reported by 13.1% (n = 79) of adolescents and 15.6% (n = 94) of caregivers. Among adolescent-caregiver dyads, 82.5% (n = 496) of reports were concordant and 17.5% (n = 105) discordant, Cohen's κ= 0.3. Adolescent-reported food insecurity was not independently associated with HbA1c, diabetic ketoacidosis, and severe hypoglycemia, including in age-stratified analyses. Adolescent-reported food insecurity was independently associated with elevated odds of depressive symptoms [odds ratio (OR): 3.6; 95% confidence interval (CI): 1.3, 10.3] and disordered eating behaviors (OR: 2.5, 95% CI: 1.4, 4.6) compared with adolescents reporting food security; these associations remained in both age groups for disordered eating behaviors and in the older group for depressive symptoms. CONCLUSIONS Adolescents with type 1 diabetes may experience food insecurity differently than caregivers. Adolescent-reported food insecurity was independently associated with depressive symptoms and disordered eating behaviors and thus may be an important attribute to assess in addition to household food security in adolescents with type 1 diabetes.
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Affiliation(s)
- Emmanuel F Julceus
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
| | - Edward A Frongillo
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
| | - Jason A Mendoza
- Fred Hutch Cancer Center, University of Washington, and Seattle Children's Research Institute, Seattle, WA, United States
| | - Katherine A Sauder
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD Center), Colorado School of Public Health, Aurora, CO, United States
| | - Faisal S Malik
- Department of Pediatrics, University of Washington, and Seattle Children's Research Institute, Seattle, WA, United States
| | - Elizabeth T Jensen
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Lawrence M Dolan
- Department of Pediatrics, Cincinnati Children's Hospital, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Anna Bellatorre
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD Center), Colorado School of Public Health, Aurora, CO, United States
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD Center), Colorado School of Public Health, Aurora, CO, United States
| | - Beth A Reboussin
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Kristi Reynolds
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States
| | - Catherine Pihoker
- Department of Pediatrics, University of Washington, and Seattle Children's Research Institute, Seattle, WA, United States
| | - Angela D Liese
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
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Reid LA, Geraci M, Mendoza JA, Merchant AT, Reboussin BA, Pate RR, Dolan LM, Sauder KA, Lustigova E, Kim G, Liese AD. Household Food Insecurity Is Associated With Physical Activity in Youth and Young Adults With Diabetes: A Cross-Sectional Study. J Phys Act Health 2024; 21:77-84. [PMID: 37922896 DOI: 10.1123/jpah.2022-0338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 07/13/2023] [Accepted: 09/16/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND Physical activity (PA) is essential for optimal diabetes management. Household food insecurity (HFI) may negatively affect diabetes management behaviors. The purpose of this study was to cross-sectionally examine the association between HFI and PA in youth and young adults (YYA) with type 1 (N = 1998) and type 2 (N = 391) diabetes from the SEARCH for Diabetes in Youth Study. METHODS HFI was measured with the US Household Food Security Survey Module. PA was measured with the International Physical Activity Questionnaire Short Form. Walking, moderate-intensity PA (excluding walking), vigorous-intensity PA, moderate- to vigorous-intensity PA, and total PA were estimated as minutes per week, while time spent sitting was assessed in minutes per day. All were modeled with median regression. Meeting PA guidelines or not was modeled using logistic regression. RESULTS YYA with type 1 diabetes who experienced HFI spent more time walking than those who were food secure. YYA with type 2 diabetes who experienced HFI spent more time sitting than those who were food secure. CONCLUSIONS Future research should examine walking for leisure versus other domains of walking in relation to HFI and use objective PA measures to corroborate associations between HFI and PA in YYA with diabetes.
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Affiliation(s)
- Lauren A Reid
- South College, Atlanta, GA, USA
- University of South Carolina, Columbia, SC, USA
| | - Marco Geraci
- University of South Carolina, Columbia, SC, USA
- Sapienza University of Rome, Rome, Italy
| | - Jason A Mendoza
- Fred Hutchinson Cancer Center, Seattle, WA, USA
- Seattle Children's Research Institute, Seattle, WA, USA
| | | | | | | | | | | | - Eva Lustigova
- Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Grace Kim
- University of Washington School of Medicine, Seattle, WA, USA
| | - Angela D Liese
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
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Brown AD, Liese AD, Shapiro ALB, Frongillo EA, Wilkening G, Fridriksson J, Merchant AT, Henkin L, Jensen ET, Reboussin BA, Shah AS, Marcovina S, Dolan LM, Dabelea D, Pihoker C, Mendoza JA. Household Food Insecurity and Cognition in Youth and Young Adults with Youth-Onset Diabetes. Pediatr Diabetes 2023; 2023:6382663. [PMID: 38765732 PMCID: PMC11100256 DOI: 10.1155/2023/6382663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/22/2024] Open
Abstract
Objective We evaluated the association of household food insecurity (FI) with cognition in youth and young adults with type 1 diabetes (T1D) or type 2 diabetes (T2D). Design In this cross-sectional study, age-adjusted scores for composite Fluid Cognition, and sub-domain scores for Receptive Language and Inhibitory Control and Attention, were modeled stratified by diabetes-type using linear regression, with FI in the past year as the predictor, controlling for covariates. Tests for processing speed, inhibitory control/attention, working memory, episodic memory, and cognitive flexibility were administered to measure composite Fluid Cognition score. The NIHT-CB Picture Vocabulary Test was used to assess Crystallized Cognition score and rapid identification of congruent versus noncongruent items were used to assess Inhibitory Control and Attention score. Setting The SEARCH for Diabetes in Youth study, representative of 5 U.S. states. Participants Included 1574 youth and young adults with T1D or T2D, mean age of 21 years, mean diabetes duration of 11 years, 51% non-Hispanic white, and 47% had higher HbA1c levels (>9% HbA1c). Results Approximately 18% of the 1,240 participants with T1D and 31% of the 334 with T2D experienced FI. The food-insecure group with T1D had a lower composite Fluid Cognition score (β= -2.5, 95% confidence interval (CI)= -4.8, -0.1) and a lower Crystallized Cognition score (β= -3.4, CI= -5.6, -1.3) than food-secure peers. Findings were attenuated to non-significance after adjustment for demographics. Among T2D participants, no associations were observed. In participants with T1D effect modification by glycemic levels were found in the association between FI and composite Fluid Cognition score but adjustment for socioeconomic characteristics attenuated the interaction (p=0.0531). Conclusions Food-insecure youth and young adults with T1D or T2D did not have different cognition compared to those who were food-secure after adjustment for confounders. Longitudinal research is needed to further understand relations amongst these factors.
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Affiliation(s)
- Andrea D. Brown
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC, USA 29208
| | - Angela D. Liese
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC, USA 29208
| | - Allison L. B. Shapiro
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, 13123 E 16th Ave, Aurora, CO, USA 80045
| | - Edward A. Frongillo
- Department of Health Promotion, Education, and Behavior, University of South Carolina, 915 Greene Street Columbia, SC, USA 29208
| | - Greta Wilkening
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, 13123 E 16th Ave, Aurora, CO, USA 80045
| | - Julius Fridriksson
- Department of Communication Sciences & Disorders, University of South Carolina, 1705 College Street Columbia, SC, USA 29208
| | - Anwar T. Merchant
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC, USA 29208
| | - Leora Henkin
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, 475 Vine Street, Winston-Salem, NC, USA 27101
| | - Elizabeth T. Jensen
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, 475 Vine Street, Winston-Salem, NC USA 27101
| | - Beth A. Reboussin
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, 475 Vine Street, Winston-Salem, NC, USA 27101
| | - Amy S. Shah
- Department of Pediatrics, Division of Endocrinology, Cincinnati Children’s Hospital Medical Center and The University of Cincinnati, 3333 Burnet Avenue, MLC 4002 Cincinnati, OH, USA 45229
| | - Santica Marcovina
- Medpace Reference Laboratories, 5365 Medpace Way, Cincinnati, OH, USA 45227
| | - Lawrence M. Dolan
- Department of Pediatrics, Division of Endocrinology, Cincinnati Children’s Hospital Medical Center and The University of Cincinnati, 3333 Burnet Avenue, MLC 4002 Cincinnati, OH, USA 45229
| | - Dana Dabelea
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, 13123 E 16th Ave, Aurora, CO, USA 80045
- Department of Epidemiology, Colorado School of Public Health, Anschutz Medical Campus, 13001 E. 17th Place, Mail Stop B119, Aurora, CO, USA 80045
| | - Catherine Pihoker
- Department of Pediatrics, University of Washington, Box 356320, Seattle WA, USA 98115-8160
| | - Jason A. Mendoza
- Department of Pediatrics, University of Washington, Box 356320, Seattle WA, USA 98115-8160
- Seattle Children’s Research Institute, PO Box 5371, Seattle, WA, USA 98145-5005
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Jensen ET, Rigdon J, Rezaei KA, Saaddine J, Lundeen EA, Dabelea D, Dolan LM, D’Agostino R, Klein B, Meuer S, Mefford MT, Reynolds K, Marcovina SM, Mottl A, Mayer-Davis B, Lawrence JM. Prevalence, Progression, and Modifiable Risk Factors for Diabetic Retinopathy in Youth and Young Adults With Youth-Onset Type 1 and Type 2 Diabetes: The SEARCH for Diabetes in Youth Study. Diabetes Care 2023; 46:1252-1260. [PMID: 37043887 PMCID: PMC10234751 DOI: 10.2337/dc22-2503] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 03/21/2023] [Indexed: 04/14/2023]
Abstract
OBJECTIVE To determine the prevalence, progression, and modifiable risk factors associated with the development of diabetic retinopathy (DR) in a population-based cohort of youth-onset diabetes. RESEARCH DESIGN AND METHODS We conducted a multicenter, population-based prospective cohort study (2002-2019) of youth and young adults with youth-onset type 1 diabetes (n = 2,519) and type 2 diabetes (n = 447). Modifiable factors included baseline and change from baseline to follow-up in BMI z score, waist/height ratio, systolic and diastolic blood pressure z score, and A1C. DR included evidence of mild or moderate nonproliferative DR or proliferative retinopathy. Prevalence estimates were standardized to estimate the burden of DR, and inverse probability weighting for censoring was applied for estimating risk factors for DR at two points of follow-up. RESULTS DR in youth-onset type 1 and type 2 diabetes is highly prevalent, with 52% of those with type 1 diabetes and 56% of those with type 2 diabetes demonstrating retinal changes at follow-up (mean [SD] 12.5 [2.2] years from diagnosis). Higher baseline A1C, increase in A1C across follow-up, and increase in diastolic and systolic blood pressure were associated with the observation of DR at follow-up for both diabetes types. Increase in A1C across follow-up was associated with retinopathy progression. BMI z score and waist/height ratio were inconsistently associated, with both positive and inverse associations noted. CONCLUSIONS Extrapolated to all youth-onset diabetes in the U.S., we estimate 110,051 cases of DR developing within ∼12 years postdiagnosis. Tight glucose and blood pressure management may offer the opportunity to mitigate development and progression of DR in youth-onset diabetes.
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Affiliation(s)
- Elizabeth T. Jensen
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Joseph Rigdon
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Kasra A. Rezaei
- Department of Ophthalmology, University of Washington, Seattle, WA
| | - Jinan Saaddine
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Elizabeth A. Lundeen
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Lawrence M. Dolan
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Ralph D’Agostino
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Barbara Klein
- Department of Ophthalmology and Visual Sciences, University of Wisconsin-Madison, Madison, WI
| | - Stacy Meuer
- Department of Ophthalmology and Visual Sciences, University of Wisconsin-Madison, Madison, WI
| | - Matthew T. Mefford
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Kristi Reynolds
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | | | - Amy Mottl
- Departments of Nutrition and Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Beth Mayer-Davis
- Departments of Nutrition and Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Jean M. Lawrence
- Division of Diabetes, Endocrinology, and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
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8
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Sauder KA, Glueck DH, Harrall KK, D'Agostino R, Dolan LM, Lane AD, Liese AD, Lustigova E, Malik FS, Marcovina S, Mayer‐Davis E, Mottl A, Pihoker C, Reynolds K, Shah AS, Urbina EM, Wagenknecht LE, Daniels SR, Dabelea D. Exploring Racial and Ethnic Differences in Arterial Stiffness Among Youth and Young Adults With Type 1 Diabetes. J Am Heart Assoc 2023; 12:e028529. [PMID: 36994741 PMCID: PMC10122883 DOI: 10.1161/jaha.122.028529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 02/06/2023] [Indexed: 03/31/2023]
Abstract
Background We examined arterial stiffness in individuals with type 1 diabetes, and explored whether differences between Hispanic, non-Hispanic Black (NHB), and non-Hispanic White (NHW) individuals were attributable to modifiable clinical and social factors. Methods and Results Participants (n=1162; 22% Hispanic, 18% NHB, and 60% NHW) completed 2 to 3 research visits from ≈10 months to ≈11 years post type 1 diabetes diagnosis (mean ages of ≈9 to ≈20 years, respectively) providing data on socioeconomic factors, type 1 diabetes characteristics, cardiovascular risk factors, health behaviors, quality of clinical care, and perception of clinical care. Arterial stiffness (carotid-femoral pulse wave velocity [PWV], m/s) was measured at ≈20 years of age. We analyzed differences in PWV by race and ethnicity, then explored the individual and combined impact of the clinical and social factors on these differences. PWV did not differ between Hispanic (adjusted mean 6.18 [SE 0.12]) and NHW (6.04 [0.11]) participants after adjustment for cardiovascular risks (P=0.06) and socioeconomic factors (P=0.12), or between Hispanic and NHB participants (6.36 [0.12]) after adjustment for all factors (P=0.08). PWV was higher in NHB versus NHW participants in all models (all P<0.001). Adjustment for modifiable factors reduced the difference in PWV by 15% for Hispanic versus NHW participants; by 25% for Hispanic versus NHB; and by 21% for NHB versus NHW. Conclusions Cardiovascular and socioeconomic factors explain one-quarter of the racial and ethnic differences in PWV of young people with type 1 diabetes, but NHB individuals still experienced greater PWV. Exploration of pervasive inequities potentially driving these persistent differences is needed.
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Affiliation(s)
- Katherine A. Sauder
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) CenterUniversity of Colorado Anschutz Medical CampusAuroraCO
| | - Deborah H. Glueck
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) CenterUniversity of Colorado Anschutz Medical CampusAuroraCO
| | - Kylie K. Harrall
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) CenterUniversity of Colorado Anschutz Medical CampusAuroraCO
| | - Ralph D'Agostino
- Biostatistics and Data SciencesWake Forest University School of MedicineWinston‐SalemNC
| | - Lawrence M. Dolan
- Pediatrics, Cincinnati Children’s Hospital Medical Center Department of Pediatrics & The University of CincinnatiCincinnatiOH
| | - Abbi D. Lane
- Exercise ScienceUniversity of South Carolina Arnold School of Public HealthColumbiaSC
| | - Angela D. Liese
- Epidemiology and BiostatisticsUniversity of South Carolina Arnold School of Public HealthColumbiaSC
| | - Eva Lustigova
- Research & EvaluationKaiser Permanente Southern CaliforniaPasadenaCA
| | | | | | | | - Amy Mottl
- MedicineUniversity of North Carolina at Chapel HillChapel HillNC
| | | | - Kristi Reynolds
- Research & EvaluationKaiser Permanente Southern CaliforniaPasadenaCA
| | - Amy S. Shah
- Pediatrics, Cincinnati Children’s Hospital Medical Center Department of Pediatrics & The University of CincinnatiCincinnatiOH
| | - Elaine M. Urbina
- Pediatrics, Cincinnati Children’s Hospital Medical Center Department of Pediatrics & The University of CincinnatiCincinnatiOH
| | | | - Stephen R. Daniels
- PediatricsPediatrics, University of Colorado Anschutz Medical CampusAuroraCO
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) CenterUniversity of Colorado Anschutz Medical CampusAuroraCO
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9
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Urbina EM, Isom S, Dabelea D, D’Agostino R, Daniels SR, Dolan LM, Imperatore G, Lustigova E, Marcovina S, Mottl A, Pihoker C, Shah AS. Association of Elevated Arterial Stiffness With Cardiac Target Organ Damage and Cardiac Autonomic Neuropathy in Young Adults With Diabetes: The SEARCH for Diabetes in Youth Study. Diabetes Care 2023; 46:786-793. [PMID: 36730642 PMCID: PMC10090911 DOI: 10.2337/dc22-1703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 01/09/2023] [Indexed: 02/04/2023]
Abstract
OBJECTIVE Adults with diabetes are at risk for cardiovascular (CV) events, possibly due to increased arterial stiffness (AS) and cardiac autonomic neuropathy (CAN). We sought to determine whether 1) AS is associated with cardiac target organ damage in young adults with youth-onset diabetes, 2) whether CAN is associated with AS, as one possible etiology for increased AS in this cohort, and 3) whether these relationships differ by type of diabetes. RESEARCH DESIGN AND METHODS Participants from the SEARCH for Diabetes in Youth Study (type 1 diabetes [T1D], n = 222; type 2 diabetes [T2D], n = 177; mean age 23 years) had clinical, echocardiographic, AS, and CAN assessed. Linear regression was performed to determine whether AS was associated with cardiac changes and CAN and whether relationships differed by diabetes type. RESULTS AS was significantly associated with cardiac structure (left ventricular mass index, P < 0.0001), systolic function (ejection fraction, P = 0.03) and diastolic function (transmitral peak early [E]/atrial [A] wave velocities ratio, P = 0.008; early [e']/atrial [a'] waves, P = 0.02) after adjustments for CV risk factors. The association between AS and CAN was not significant when other important covariates were added. These relationships were mostly similar in both T1D and T2D. CONCLUSIONS AS is associated with cardiac changes in young adults with diabetes. CAN-induced AS does not appear to be an etiology for cardiac abnormalities in this cohort.
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Affiliation(s)
- Elaine M. Urbina
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center and University of Cincinnati, Cincinnati, OH
| | - Scott Isom
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus (CU-Anschutz), Aurora, CO
| | - Ralph D’Agostino
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC
| | - Stephen R. Daniels
- Department of Pediatrics, University of Colorado Anschutz Medical Campus (CU-Anschutz), Aurora, CO
| | - Lawrence M. Dolan
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center and University of Cincinnati, Cincinnati, OH
| | - Giuseppina Imperatore
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Eva Lustigova
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | | | - Amy Mottl
- Division of Nephrology and Hypertension, University of North Carolina School of Medicine, Chapel Hill, NC
| | | | - Amy S. Shah
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center and University of Cincinnati, Cincinnati, OH
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10
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Eitel KB, Roberts AJ, D’Agostino R, Barrett CE, Bell RA, Bellatorre A, Cristello A, Dabelea D, Dolan LM, Jensen ET, Liese AD, Mayer-Davis EJ, Reynolds K, Marcovina SM, Pihoker C. Diabetes Stigma and Clinical Outcomes in Adolescents and Young Adults: The SEARCH for Diabetes in Youth Study. Diabetes Care 2023; 46:811-818. [PMID: 36883290 PMCID: PMC10090897 DOI: 10.2337/dc22-1749] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 01/12/2023] [Indexed: 03/09/2023]
Abstract
OBJECTIVE To examine the association between diabetes stigma and HbA1c, treatment plan and acute and chronic complications in adolescents and young adults (AYAs) with type 1 or type 2 diabetes. RESEARCH DESIGN AND METHODS The SEARCH for Diabetes in Youth study is a multicenter cohort study that collected questionnaire, laboratory, and physical examination data about AYAs with diabetes diagnosed in childhood. A five-question survey assessed frequency of perceived diabetes-related stigma, generating a total diabetes stigma score. We used multivariable linear modeling, stratified by diabetes type, to examine the association of diabetes stigma with clinical factors, adjusting for sociodemographic characteristics, clinic site, diabetes duration, health insurance, treatment plan, and HbA1c. RESULTS Of 1,608 respondents, 78% had type 1 diabetes, 56% were female, and 48% were non-Hispanic White. The mean (SD) age at study visit was 21.7 (5.1) years (range, 10-24.9). The mean (SD) HbA1c was 9.2% (2.3%; 77 mmol/mol [2.0 mmol/mol]). Higher diabetes stigma scores were associated with female sex and higher HbA1c (P < 0.01) for all participants. No significant association between diabetes stigma score and technology use was observed. In participants with type 2 diabetes, higher diabetes stigma scores were associated with insulin use (P = 0.04). Independent of HbA1c, higher diabetes stigma scores were associated with some acute complications for AYAs with type 1 diabetes and some chronic complications for AYAs with type 1 or type 2 diabetes. CONCLUSIONS Diabetes stigma in AYAs is associated with worse diabetes outcomes and is important to address when providing comprehensive diabetes care.
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Affiliation(s)
- Kelsey B. Eitel
- University of Washington, Department of Pediatrics, Seattle, WA
| | | | | | | | - Ronny A. Bell
- Wake Forest University School of Medicine, Winston-Salem, NC
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11
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Wagenknecht LE, Lawrence JM, Isom S, Jensen ET, Dabelea D, Liese AD, Dolan LM, Shah AS, Bellatorre A, Sauder K, Marcovina S, Reynolds K, Pihoker C, Imperatore G, Divers J. Trends in incidence of youth-onset type 1 and type 2 diabetes in the USA, 2002-18: results from the population-based SEARCH for Diabetes in Youth study. Lancet Diabetes Endocrinol 2023; 11:242-250. [PMID: 36868256 PMCID: PMC10091237 DOI: 10.1016/s2213-8587(23)00025-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 01/10/2023] [Accepted: 01/12/2023] [Indexed: 03/05/2023]
Abstract
BACKGROUND The incidence of diabetes is increasing in children and young people. We aimed to describe the incidence of type 1 and type 2 diabetes in children and young people aged younger than 20 years over a 17-year period. METHODS The SEARCH for Diabetes in Youth study identified children and young people aged 0-19 years with a physician diagnosis of type 1 or type 2 diabetes at five centres in the USA between 2002 and 2018. Eligible participants included non-military and non-institutionalised individuals who resided in one of the study areas at the time of diagnosis. The number of children and young people at risk of diabetes was obtained from the census or health plan member counts. Generalised autoregressive moving average models were used to examine trends, and data are presented as incidence of type 1 diabetes per 100 000 children and young people younger than 20 years and incidence of type 2 diabetes per 100 000 children and young people aged between 10 years and younger than 20 years across categories of age, sex, race or ethnicity, geographical region, and month or season of diagnosis. FINDINGS We identified 18 169 children and young people aged 0-19 years with type 1 diabetes in 85 million person-years and 5293 children and young people aged 10-19 years with type 2 diabetes in 44 million person-years. In 2017-18, the annual incidence of type 1 diabetes was 22·2 per 100 000 and that of type 2 diabetes was 17·9 per 100 000. The model for trend captured both a linear effect and a moving-average effect, with a significant increasing (annual) linear effect for both type 1 diabetes (2·02% [95% CI 1·54-2·49]) and type 2 diabetes (5·31% [4·46-6·17]). Children and young people from racial and ethnic minority groups such as non-Hispanic Black and Hispanic children and young people had greater increases in incidence for both types of diabetes. Peak age at diagnosis was 10 years (95% CI 8-11) for type 1 diabetes and 16 years (16-17) for type 2 diabetes. Season was significant for type 1 diabetes (p=0·0062) and type 2 diabetes (p=0·0006), with a January peak in diagnoses of type 1 diabetes and an August peak in diagnoses of type 2 diabetes. INTERPRETATION The increasing incidence of type 1 and type 2 diabetes in children and young people in the USA will result in an expanding population of young adults at risk of developing early complications of diabetes whose health-care needs will exceed those of their peers. Findings regarding age and season of diagnosis will inform focused prevention efforts. FUNDING US Centers for Disease Control and Prevention and US National Institutes of Health.
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Affiliation(s)
- Lynne E Wagenknecht
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
| | - Jean M Lawrence
- Division of Diabetes, Endocrinology, and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Scott Isom
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Elizabeth T Jensen
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Angela D Liese
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Lawrence M Dolan
- Department of Pediatrics, Cincinnati Children's Hospital, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Amy S Shah
- Department of Pediatrics, Cincinnati Children's Hospital, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Anna Bellatorre
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Katherine Sauder
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - Kristi Reynolds
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Catherine Pihoker
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Giuseppina Imperatore
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jasmin Divers
- Division of Health Services Research, Department of Foundations of Medicine, New York University Long Island School of Medicine, Mineola, NY, USA
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12
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Mashali G, Kaul A, Khoury J, Corsiglia J, Dolan LM, Shah AS. Screening for Gastric Sensory Motor Abnormalities in Pediatric Patients With Type 1 Diabetes. Endocr Pract 2023; 29:168-173. [PMID: 36572278 DOI: 10.1016/j.eprac.2022.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 12/14/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVE To determine the frequency of gastric sensory motor symptoms in youth with type 1 diabetes. METHODS A prospective cross-sectional study was performed to evaluate symptoms of delayed gastric emptying in participants with type 1 diabetes, aged 12 to 25 years, using the Gastroparesis Cardinal Symptom Index (GCSI) questionnaire. In addition, a 5-year (January 2015 to December 2019), a retrospective study was completed on all gastric emptying scans performed in youth at our institution. RESULTS A total of 359 participants (mean age, 17.7 ± 3.33 years) with type 1 diabetes completed the GCSI questionnaire. Compared with nonresponders, responders were more likely to be non-Hispanic White (90% vs 86%; P =.003) and female patients (58% vs 44%; P <.0001), with a lower HbA1c (8.1 ± 1.8 vs 9.0 ± 2.1; P <.0001). At least 1 gastrointestinal symptom was reported in 270 (75%) of responders, of which nausea was the most common (71%). A GCSI score of ≥1.9 suggestive of more severe gastrointestinal symptoms was reported in 17% of responders. Participants with scores ≥1.9 were older (19.1 ± 3.0 vs 17.8 ± 3.3 years; P =.01). In the retrospective study, 778 underwent gastric emptying scan, 29 participants had type 1 diabetes and 11 (38%) showed delayed gastric emptying. CONCLUSION Gastrointestinal symptoms related to gastric sensory motor abnormalities are seen in youth and young adults with type 1 diabetes. In particular, for those with higher GCSI scores, earlier recognition and referral may be warranted.
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Affiliation(s)
- Gamal Mashali
- Division of Pediatric Endocrine, Cincinnati Children's Hospital Medical Center and the University of Cincinnati, Cincinnati, Ohio.
| | - Ajay Kaul
- Division of Pediatric Gastroenterology, Cincinnati Children's Hospital Medical Center and the University of Cincinnati, Cincinnati, Ohio
| | - Jane Khoury
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center and the University of Cincinnati, Cincinnati, Ohio
| | - Joshua Corsiglia
- Xavier University, College of Arts and Sciences, Cincinnati, Ohio
| | - Lawrence M Dolan
- Division of Pediatric Endocrine, Cincinnati Children's Hospital Medical Center and the University of Cincinnati, Cincinnati, Ohio
| | - Amy S Shah
- Division of Pediatric Endocrine, Cincinnati Children's Hospital Medical Center and the University of Cincinnati, Cincinnati, Ohio
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13
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Reid LA, Zheng S, Mendoza JA, Reboussin BA, Roberts AJ, Sauder KA, Lawrence JM, Jensen E, Henkin L, Flory K, Knight LM, Pihoker C, Dolan LM, Apperson EM, Liese AD. Household Food Insecurity and Fear of Hypoglycemia in Adolescents and Young Adults With Diabetes and Parents of Youth With Diabetes. Diabetes Care 2023; 46:262-269. [PMID: 35771776 PMCID: PMC9887608 DOI: 10.2337/dc21-1807] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 05/04/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To evaluate the relation between household food insecurity (HFI) and fear of hypoglycemia among young adults with type 1 and type 2 diabetes and adolescents with type 1 diabetes and their parents. RESEARCH DESIGN AND METHODS We analyzed cross-sectional data of 1,676 young adults with youth-onset diabetes (84% type 1, 16% type 2) and 568 adolescents (<18 years old; mean age 15.1 years) with type 1 diabetes from the SEARCH for Diabetes in Youth study. Adult participants and parents of adolescent participants completed the U.S. Household Food Security Survey Module. Adults, adolescents, and parents of adolescents completed the Hypoglycemia Fear Survey, where answers range from 1 to 4. The outcomes were mean score for fear of hypoglycemia and the behavior and worry subscale scores. Linear regression models identified associations between HFI and fear of hypoglycemia scores. RESULTS Adults with type 1 diabetes experiencing HFI had higher fear of hypoglycemia scores (0.22 units higher for behavior, 0.55 units for worry, 0.40 units for total; all P < 0.0001) than those without HFI. No differences by HFI status were found for adolescents with type 1 diabetes. Parents of adolescents reporting HFI had a 0.18 unit higher worry score than those not reporting HFI (P < 0.05). Adults with type 2 diabetes experiencing HFI had higher fear of hypoglycemia scores (0.19 units higher for behavior, 0.35 units for worry, 0.28 units for total; all P < 0.05) than those in food secure households. CONCLUSIONS Screening for HFI and fear of hypoglycemia among people with diabetes can help providers tailor diabetes education for those who have HFI and therefore fear hypoglycemia.
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Affiliation(s)
- Lauren A. Reid
- Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC
| | - Siyu Zheng
- Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC
| | - Jason A. Mendoza
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | - Alissa J. Roberts
- Seattle Children’s Research Institute and University of Washington, Seattle, WA
| | | | - Jean M. Lawrence
- Division of Epidemiologic Research, Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | | | - Leora Henkin
- Wake Forest School of Medicine, Winston Salem, NC
| | - Kate Flory
- Department of Psychology, University of South Carolina, Columbia, SC
| | - Lisa M. Knight
- Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC
| | - Catherine Pihoker
- Seattle Children’s Research Institute and University of Washington, Seattle, WA
| | - Lawrence M. Dolan
- Division of Endocrinology, Department of Pediatrics, University of Cincinnati, Cincinnati, OH
| | | | - Angela D. Liese
- Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC
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14
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Merjaneh L, Dolan LM, Suerken CK, D’Agostino R, Imperatore G, Saydah S, Roberts A, Marcovina S, Mayer-Davis EJ, Dabelea D, Lawrence JM, Pihoker C. A longitudinal assessment of diabetes autoantibodies in the SEARCH for diabetes in youth study. Pediatr Diabetes 2022; 23:1027-1037. [PMID: 36054435 PMCID: PMC9588609 DOI: 10.1111/pedi.13403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 07/26/2022] [Accepted: 08/14/2022] [Indexed: 11/28/2022] Open
Abstract
To assess changes in diabetes autoantibodies (DAs) over time in children and young adults with diabetes and determine whether observed changes were associated with demographic characteristics, clinical parameters and diabetes complications. Participants had DAs measured at baseline (10.3 ± 7.1 months after diabetes diagnosis) and at 12, 24 months and ≥5 years after the baseline measurement. At the ≥5-year follow-up, the presence of diabetes complications was assessed. We examined the associations between change in number of positive DAs and changes in individual DA status with the participants' characteristics and clinical parameters over time. Out of 4179 participants, 62% had longitudinal DA data and 51% had complications and longitudinal DA data. In participants with ≥1 baseline positive DA (n = 1699), 83.4% remained positive after 7.3 ± 2.3 years duration of diabetes. Decrease in number of positive DAs was associated with longer diabetes duration (p = 0.003 for 1 baseline positive DA; p < 0.001 for 2 baseline positive DAs) and younger age at diagnosis (p < 0.001 for 2 baseline positive DAs). No associations were found between change in number of positive DAs in participants with ≥1 baseline positive DA (n = 1391) and HbA1c, insulin dose, acute, or chronic complications after 7.7 ± 1.9 years duration of diabetes. DA status likely remains stable in the first 7 years after diabetes diagnosis. Younger age at diabetes diagnosis and longer duration were associated with less persistence of DAs. Measuring DAs after initial presentation may aid in diabetes classification but not likely in predicting the clinical course.
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Affiliation(s)
- Lina Merjaneh
- Department of Pediatrics, University of Washington,
Seattle, WA, USA
| | - Lawrence M. Dolan
- Department of Pediatrics, University of Cincinnati College
of Medicine, Cincinnati, OH, USA
| | - Cynthia K. Suerken
- Department of Biostatistical Sciences, Division of Public
Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Ralph D’Agostino
- Department of Biostatistical Sciences, Division of Public
Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Giuseppina Imperatore
- Division of Diabetes Translation, Centers for Disease
Control and Prevention, National Center for Chronic Disease Prevention and Health
Promotion, Atlanta, GA, USA
| | - Sharon Saydah
- Division of Diabetes Translation, Centers for Disease
Control and Prevention, National Center for Chronic Disease Prevention and Health
Promotion, Atlanta, GA, USA
| | - Alissa Roberts
- Department of Pediatrics, University of Washington,
Seattle, WA, USA
| | | | | | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public
Health, University of Colorado Denver, Aurora, CO, USA
| | - Jean M. Lawrence
- Division of Diabetes, Endocrinology, and Metabolic
Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National
Institutes of Health, Bethesda, MD
| | - Catherine Pihoker
- Department of Pediatrics, University of Washington,
Seattle, WA, USA
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15
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Nasomyont N, Meisman AR, Ecklund K, Vajapeyam S, Cecil KM, Tkach JA, Altaye M, Corathers SD, Conard LA, Kalkwarf HJ, Dolan LM, Gordon CM. Changes in Bone Marrow Adipose Tissue in Transgender and Gender Non-Conforming Youth Undergoing Pubertal Suppression: A Pilot Study. J Clin Densitom 2022; 25:485-489. [PMID: 36064698 PMCID: PMC9669162 DOI: 10.1016/j.jocd.2022.06.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 06/30/2022] [Indexed: 11/23/2022]
Abstract
Pubertal suppression with gonadotropin-releasing hormone (GnRH) agonists in transgender and gender non-conforming (TGNC) youth may affect acquisition of peak bone mass. Bone marrow adipose tissue (BMAT) has an inverse relationship with bone mineral density (BMD). To evaluate the effect of pubertal suppression on BMAT, in this pilot study we prospectively studied TGNC youth undergoing pubertal suppression and cisgender control participants with similar pubertal status over a 12-month period. BMD was measured by dual-energy X-ray absorptiometry and peripheral quantitative computed tomography. Magnetic Resonance T1 relaxometry (T1-R) and spectroscopy (MRS) were performed to quantify BMAT at the distal femur. We compared the change in BMD, T1-R values, and MRS lipid indices between the two groups. Six TGNC (two assigned female and four assigned male at birth) and three female control participants (mean age 10.9 and 11.7 years, respectively) were enrolled. The mean lumbar spine BMD Z-score declined by 0.29 in the TGNC group, but increased by 0.48 in controls (between-group difference 0.77, 95% CI: 0.05, 1.45). Similar findings were observed with the change in trabecular volumetric BMD at the 3% tibia site (-4.1% in TGNC, +3.2% in controls, between-group difference 7.3%, 95% CI: 0.5%-14%). Distal femur T1 values declined (indicative of increased BMAT) by 7.9% in the TGNC group, but increased by 2.1% in controls (between-group difference 10%, 95% CI: -12.7%, 32.6%). Marrow lipid fraction by MRS increased by 8.4% in the TGNC group, but declined by 0.1% in controls (between-group difference 8.5%, 95% CI: -50.2%, 33.0%). In conclusion, we observed lower bone mass acquisition and greater increases in BMAT indices by MRI and MRS in TGNC youth after 12 months of GnRH agonists compared with control participants. Early changes in BMAT may underlie an alteration in bone mass acquisition with pubertal suppression, including alterations in mesenchymal stem cells within marrow.
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Affiliation(s)
- Nat Nasomyont
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States.
| | - Andrea R Meisman
- Division of Adolescent and Transition Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Kirsten Ecklund
- Department of Radiology, Boston Children's Hospital, Boston, MA, United States
| | - Sridhar Vajapeyam
- Department of Radiology, Boston Children's Hospital, Boston, MA, United States
| | - Kim M Cecil
- Department of Radiology, Cincinnati Children's Hospital Medical Center and Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Jean A Tkach
- Department of Radiology, Cincinnati Children's Hospital Medical Center and Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Mekibib Altaye
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Sarah D Corathers
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Lee Ann Conard
- Division of Adolescent and Transition Medicine, Cincinnati Children's Hospital Medical Center and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Heidi J Kalkwarf
- Division of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Lawrence M Dolan
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Catherine M Gordon
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States
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16
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Shah AS, Isom S, D'Agostino R, Dolan LM, Dabelea D, Imperatore G, Mottl A, Lustigova E, Pihoker C, Marcovina S, Urbina EM. Longitudinal Changes in Arterial Stiffness and Heart Rate Variability in Youth-Onset Type 1 Versus Type 2 Diabetes: The SEARCH for Diabetes in Youth Study. Diabetes Care 2022; 45:1647-1656. [PMID: 35667385 PMCID: PMC9274217 DOI: 10.2337/dc21-2426] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Accepted: 03/02/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE We compared arterial stiffness and heart rate variability (HRV) over time by diabetes type and determined the risk factors associated with worsening arterial stiffness and HRV in young adults with youth-onset diabetes. RESEARCH DESIGN AND METHODS Arterial stiffness (pulse wave velocity, augmentation index) and six indices of heart rate variability were measured twice, 4.5 years apart, among participants with either youth-onset type 1 or type 2 diabetes in the SEARCH for Diabetes in Youth study. Multivariable linear regression models were used to assess risk factors associated with arterial stiffness and HRV at follow-up. RESULTS Of 1,159 participants studied, 949 had type 1 diabetes (mean age 17.1 ± 4.7 years, 60.3% non-Hispanic White, 55% female) and 210 had type 2 diabetes (mean age 22.1 ± 3.5 years, 23.8% non-Hispanic White, 71% female) at initial assessment when diabetes duration was 7.9 years (both groups). Participants with type 2 versus type 1 diabetes had greater arterial stiffness and more abnormalities in HRV at initial and follow-up assessment and a greater change over time (all P < 0.05). Risk factors associated with worse arterial stiffness and HRV at follow-up in both types of diabetes included higher blood pressure, hemoglobin A1c, waist circumference, and triglycerides over time and longer diabetes duration. CONCLUSIONS Arterial stiffness and HRV worsened over time with greater changes among participants with type 2 versus type 1 diabetes and among those with features of the metabolic syndrome. The risk factor profile documents potentially modifiable pathways to prevent or limit cardiovascular complications in young adults with youth-onset diabetes.
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Affiliation(s)
- Amy S Shah
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center and The University of Cincinnati, Cincinnati, OH
| | - Scott Isom
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC
| | - Ralph D'Agostino
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC
| | - Lawrence M Dolan
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center and The University of Cincinnati, Cincinnati, OH
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Giuseppina Imperatore
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Amy Mottl
- Division of Nephrology and Hypertension, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Eva Lustigova
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | | | | | - Elaine M Urbina
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center and The University of Cincinnati, Cincinnati, OH
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17
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Oram RA, Sharp SA, Pihoker C, Ferrat L, Imperatore G, Williams A, Redondo MJ, Wagenknecht L, Dolan LM, Lawrence JM, Weedon MN, D’Agostino R, Hagopian WA, Divers J, Dabelea D. Utility of Diabetes Type-Specific Genetic Risk Scores for the Classification of Diabetes Type Among Multiethnic Youth. Diabetes Care 2022; 45:1124-1131. [PMID: 35312757 PMCID: PMC9174964 DOI: 10.2337/dc20-2872] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 01/30/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Genetic risk scores (GRS) aid classification of diabetes type in White European adult populations. We aimed to assess the utility of GRS in the classification of diabetes type among racially/ethnically diverse youth in the U.S. RESEARCH DESIGN AND METHODS We generated type 1 diabetes (T1D)- and type 2 diabetes (T2D)-specific GRS in 2,045 individuals from the SEARCH for Diabetes in Youth study. We assessed the distribution of genetic risk stratified by diabetes autoantibody positive or negative (DAA+/-) and insulin sensitivity (IS) or insulin resistance (IR) and self-reported race/ethnicity (White, Black, Hispanic, and other). RESULTS T1D and T2D GRS were strong independent predictors of etiologic type. The T1D GRS was highest in the DAA+/IS group and lowest in the DAA-/IR group, with the inverse relationship observed with the T2D GRS. Discrimination was similar across all racial/ethnic groups but showed differences in score distribution. Clustering by combined genetic risk showed DAA+/IR and DAA-/IS individuals had a greater probability of T1D than T2D. In DAA- individuals, genetic probability of T1D identified individuals most likely to progress to absolute insulin deficiency. CONCLUSIONS Diabetes type-specific GRS are consistent predictors of diabetes type across racial/ethnic groups in a U.S. youth cohort, but future work needs to account for differences in GRS distribution by ancestry. T1D and T2D GRS may have particular utility for classification of DAA- children.
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Affiliation(s)
- Richard A. Oram
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, and The Academic Kidney Unit, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Seth A. Sharp
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, and The Academic Kidney Unit, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | | | - Lauric Ferrat
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, and The Academic Kidney Unit, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Giuseppina Imperatore
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Adrienne Williams
- Biostatistics Shared Resource, Wake Forest School of Medicine, Winston-Salem, NC
| | - Maria J. Redondo
- Section of Diabetes and Endocrinology, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX
| | - Lynne Wagenknecht
- Biostatistics Shared Resource, Wake Forest School of Medicine, Winston-Salem, NC
| | - Lawrence M. Dolan
- Division of Endocrinology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Jean M. Lawrence
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Michael N. Weedon
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, and The Academic Kidney Unit, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Ralph D’Agostino
- Biostatistics Shared Resource, Wake Forest School of Medicine, Winston-Salem, NC
| | | | - Jasmin Divers
- Division of Health Services Research, Foundation of Medicine, NYU Long Island School of Medicine, Mineola, NY
| | - Dana Dabelea
- Departments of Pediatrics and Epidemiology, University of Colorado School of Medicine, Aurora, CO
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18
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Redel JM, DiFrancesco M, Lee GR, Ziv A, Dolan LM, Brady CC, Shah AS. Cerebral blood flow is lower in youth with type 2 diabetes compared to obese controls: A pilot study. Pediatr Diabetes 2022; 23:291-300. [PMID: 35001473 DOI: 10.1111/pedi.13313] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 12/15/2021] [Accepted: 01/03/2022] [Indexed: 11/30/2022] Open
Abstract
AIM The cerebral vasculature may be susceptible to the adverse effects of type 2 diabetes. In this pilot study, we compared cerebral blood flow (CBF) in youth with type 2 diabetes to obese, euglycemic controls, and explored the association between CBF and a non-invasive measure of atherosclerosis, carotid intima-medial thickness (IMT). METHODS Global and regional CBF were compared between youth with type 2 diabetes (mean age 16.7 ± 2.0 years, n = 20) and age, race, and sex similar obese youth without diabetes (17.4 ± 1.9 years, n = 19) using arterial spin labeling magnetic resonance imaging. Mean CBF values were compared between groups. Voxel-wise results were evaluated for statistical significance (p < 0.05) after adjustment for multiple comparisons. Carotid IMT in the type 2 diabetes group was correlated with CBF. RESULTS Compared to obese controls, the type 2 diabetes group had significantly lower global CBF (49.7 ± 7.2 vs. 63.8 ± 11.5 ml/gm/min, p < 0.001). Significantly lower CBF was observed in multiple brain regions for the type 2 diabetes group, while no regions with higher CBF were identified. In the type 2 diabetes group, carotid IMT was inversely correlated with CBF, both globally (r = -0.70, p = 0.002) and in regional clusters. CONCLUSIONS In this pilot study, lower CBF was seen in youth with type 2 diabetes compared to youth with obesity and IMT was inversely correlated with CBF. Cerebrovascular impairment may be present in youth with type 2 diabetes. These findings could represent a mechanistic link to explain previously reported brain volume and neurocognitive differences.
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Affiliation(s)
- Jacob M Redel
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.,Division of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.,Department of Pediatrics, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri, USA.,Division of Endocrinology, Children's Mercy Hospital, Kansas City, Missouri, USA
| | - Mark DiFrancesco
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.,Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Gregory R Lee
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.,Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Adi Ziv
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.,Division of Adolescent Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Adolescent Medicine Unit, Department of Day Care Hospitalization, Schneider Children's Hospital Medical Center of Israel, Petah Tikva, Israel
| | - Lawrence M Dolan
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.,Division of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Cassandra C Brady
- Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.,Division of Endocrinology and Diabetes, Monroe Carell Jr. Children's Hospital at Vanderbilt, Nashville, Tennessee, USA
| | - Amy S Shah
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.,Division of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
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19
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Malik FS, Sauder KA, Isom S, Reboussin BA, Dabelea D, Lawrence JM, Roberts A, Mayer-Davis EJ, Marcovina S, Dolan L, Igudesman D, Pihoker C, Lawrence JM, Hung P, Koebnick C, Li X, Lustigova E, Reynolds K, Pettitt DJ, Mayer-Davis EJ, Mottl A, Thomas J, Jackson M, Knight L, Liese AD, Turley C, Bowlby D, Amrhein J, Apperson E, Nelson B, Dabelea D, Bellatorre A, Crume T, Hamman RF, Sauder KA, Shapiro A, Testaverde L, Klingensmith GJ, Maahs D, Rewers MJ, Wadwa P, Daniels S, Kahn MG, Wilkening G, Bloch CA, Powell J, Love-Osborne K, Hu DC, Dolan LM, Shah AS, Standiford DA, Urbina EM, Pihoker C, Hirsch I, Kim G, Malik FA, Merjaneh L, Roberts A, Taplin C, Yi-Frazier J, Beauregard N, Franklin C, Gangan C, Kearns S, Klingsheim M, Loots B, Pascual M, Greenbaum C, Imperatore G, Saydah SH, Linder B, Marcovina SM, Chait A, Clouet-Foraison N, Harting J, Strylewicz G, D'Agostino R, Jensen ET, Wagenknecht LE, Bell RA, Casanova R, Divers J, Goldstein MT, Henkin L, Isom S, Lenoir K, Pierce J, Reboussin B, Rigdon J, South AM, Stafford J, Suerken C, Wells B, Williams C. Trends in Glycemic Control Among Youth and Young Adults With Diabetes: The SEARCH for Diabetes in Youth Study. Diabetes Care 2022; 45:285-294. [PMID: 34995346 PMCID: PMC8914430 DOI: 10.2337/dc21-0507] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 11/15/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To describe temporal trends and correlates of glycemic control in youth and young adults (YYA) with youth-onset diabetes. RESEARCH DESIGN AND METHODS The study included 6,369 participants with type 1 or type 2 diabetes from the SEARCH for Diabetes in Youth study. Participant visit data were categorized into time periods of 2002-2007, 2008-2013, and 2014-2019, diabetes durations of 1-4, 5-9, and ≥10 years, and age groups of 1-9, 10-14, 15-19, 20-24, and ≥25 years. Participants contributed one randomly selected data point to each duration and age group per time period. Multivariable regression models were used to test differences in hemoglobin A1c (HbA1c) over time by diabetes type. Models were adjusted for site, age, sex, race/ethnicity, household income, health insurance status, insulin regimen, and diabetes duration, overall and stratified for each diabetes duration and age group. RESULTS Adjusted mean HbA1c for the 2014-2019 cohort of YYA with type 1 diabetes was 8.8 ± 0.04%. YYA with type 1 diabetes in the 10-14-, 15-19-, and 20-24-year-old age groups from the 2014-2019 cohort had worse glycemic control than the 2002-2007 cohort. Race/ethnicity, household income, and treatment regimen predicted differences in glycemic control in participants with type 1 diabetes from the 2014-2019 cohort. Adjusted mean HbA1c was 8.6 ± 0.12% for 2014-2019 YYA with type 2 diabetes. Participants aged ≥25 years with type 2 diabetes had worse glycemic control relative to the 2008-2013 cohort. Only treatment regimen was associated with differences in glycemic control in participants with type 2 diabetes. CONCLUSIONS Despite advances in diabetes technologies, medications, and dissemination of more aggressive glycemic targets, many current YYA are less likely to achieve desired glycemic control relative to earlier cohorts.
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Affiliation(s)
- Faisal S Malik
- Department of Pediatrics, University of Washington, Seattle, WA
| | - Katherine A Sauder
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO
| | - Scott Isom
- Department of Biostatistical Sciences, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Beth A Reboussin
- Department of Biostatistical Sciences, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO
| | - Jean M Lawrence
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Alissa Roberts
- Department of Pediatrics, University of Washington, Seattle, WA
| | | | | | - Lawrence Dolan
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Daria Igudesman
- Departments of Nutrition and Medicine, University of North Carolina, Chapel Hill, NC
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20
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Kahkoska AR, Pokaprakarn T, Alexander GR, Crume TL, Dabelea D, Divers J, Dolan LM, Jensen ET, Lawrence JM, Marcovina S, Mottl AK, Pihoker C, Saydah SH, Kosorok MR, Mayer-Davis EJ. The Impact of Racial and Ethnic Health Disparities in Diabetes Management on Clinical Outcomes: A Reinforcement Learning Analysis of Health Inequity Among Youth and Young Adults in the SEARCH for Diabetes in Youth Study. Diabetes Care 2022; 45:108-118. [PMID: 34728528 PMCID: PMC8753766 DOI: 10.2337/dc21-0496] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 09/30/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To estimate difference in population-level glycemic control and the emergence of diabetes complications given a theoretical scenario in which non-White youth and young adults (YYA) with type 1 diabetes (T1D) receive and follow an equivalent distribution of diabetes treatment regimens as non-Hispanic White YYA. RESEARCH DESIGN AND METHODS Longitudinal data from YYA diagnosed 2002-2005 in the SEARCH for Diabetes in Youth Study were analyzed. Based on self-reported race/ethnicity, YYA were classified as non-White race or Hispanic ethnicity (non-White subgroup) versus non-Hispanic White race (White subgroup). In the White versus non-White subgroups, the propensity score models estimated treatment regimens, including patterns of insulin modality, self-monitored glucose frequency, and continuous glucose monitoring use. An analysis based on policy evaluation techniques in reinforcement learning estimated the effect of each treatment regimen on mean hemoglobin A1c (HbA1c) and the prevalence of diabetes complications for non-White YYA. RESULTS The study included 978 YYA. The sample was 47.5% female and 77.5% non-Hispanic White, with a mean age of 12.8 ± 2.4 years at diagnosis. The estimated population mean of longitudinal average HbA1c over visits was 9.2% and 8.2% for the non-White and White subgroup, respectively (difference of 0.9%). Within the non-White subgroup, mean HbA1c across visits was estimated to decrease by 0.33% (95% CI -0.45, -0.21) if these YYA received the distribution of diabetes treatment regimens of the White subgroup, explaining ∼35% of the estimated difference between the two subgroups. The non-White subgroup was also estimated to have a lower risk of developing diabetic retinopathy, diabetic kidney disease, and peripheral neuropathy with the White youth treatment regimen distribution (P < 0.05), although the low proportion of YYA who developed complications limited statistical power for risk estimations. CONCLUSIONS Mathematically modeling an equalized distribution of T1D self-management tools and technology accounted for part of but not all disparities in glycemic control between non-White and White YYA, underscoring the complexity of race and ethnicity-based health inequity.
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Affiliation(s)
- Anna R Kahkoska
- 1Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Teeranan Pokaprakarn
- 2Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - G Rumay Alexander
- 3School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Tessa L Crume
- 4Department of Epidemiology, Colorado School of Public Health, Aurora, CO
| | - Dana Dabelea
- 4Department of Epidemiology, Colorado School of Public Health, Aurora, CO.,5Department of Pediatrics, School of Medicine, University of Colorado, Aurora, CO
| | - Jasmin Divers
- 6Division of Health Services Research, Department of Foundations of Medicine, NYU Long Island School of Medicine, Mineola, NY
| | - Lawrence M Dolan
- 7Division of Endocrinology, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Elizabeth T Jensen
- 8Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC
| | - Jean M Lawrence
- 9Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Santica Marcovina
- 10Department of Medicine, Northwest Lipid Metabolism and Diabetes Research Laboratories, University of Washington, Seattle, WA
| | - Amy K Mottl
- 11Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | - Sharon H Saydah
- 13Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA
| | - Michael R Kosorok
- 2Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC.,14Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Elizabeth J Mayer-Davis
- 1Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC.,11Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
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21
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Kahkoska AR, Sarteau AC, Igudesman D, Reboussin BA, Dabelea D, Dolan LM, Jensen E, Wadwa RP, Pihoker C, Mayer-Davis EJ. Association of Insulin Regimen and Estimated Body Fat Over Time among Youths and Young Adults with Type 1 Diabetes: The SEARCH for Diabetes in Youth Study. J Diabetes Res 2022; 2022:1054042. [PMID: 35127949 PMCID: PMC8816579 DOI: 10.1155/2022/1054042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Revised: 11/30/2021] [Accepted: 12/10/2021] [Indexed: 11/18/2022] Open
Abstract
AIMS To explore how changes in insulin regimen are associated with estimated adiposity over time among youths and young adults with type 1 diabetes and whether any associations differ according to sex. MATERIALS AND METHODS Longitudinal data were analyzed from youths and young adults with type 1 diabetes in the SEARCH for Diabetes in Youth study. Participants were classified according to insulin regimen categorized as exclusive pump ("pump only"), exclusive injections ("injections only"), injection-pump transition ("injections-pump"), or pump-injection transition ("pump-injections") for each follow-up visit completed. Estimated body fat percentage (eBFP) was calculated using validated equations. Sex-specific, linear mixed effects models examined the relationship between the insulin regimen group and change in eBFP during follow-up, adjusted for baseline eBFP, baseline insulin regimen, time-varying insulin dose, sociodemographic factors, and baseline HbA1c (≥9.0% vs. <9.0%). RESULTS The final sample included 284 females and 304 males, of whom 80% were non-Hispanic white with mean diagnosis age of 12.7 ± 2.4 years. In fully adjusted models for females, exclusive pump use over the study duration was associated with significantly greater increases in eBFP compared to exclusive use of injections (difference in rate of change = 0.023% increase per month, 95%CI = 0.01, 0.04). Injection-to-pump transitions and pump-to-injection transitions were also associated with greater increases in eBFP compared to exclusive use of injections (difference in rate of change = 0.02%, 95%CI = 0.004, 0.03, and 0.02%; 95%CI = 0.0001, 0.04, respectively). There was no relationship between the insulin regimen and eBFP among males. CONCLUSIONS Among females with type 1 diabetes, exclusive and partial pump use may have the unintended consequence of increasing adiposity over time compared to exclusive use of injections, independent of insulin dose.
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Affiliation(s)
- Anna R. Kahkoska
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Daria Igudesman
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Beth A. Reboussin
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston Salem, NC, USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, School of Medicine, University of Colorado, Aurora, CO, USA
| | - Lawrence M. Dolan
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Elizabeth Jensen
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - R. Paul Wadwa
- Department of Pediatrics, School of Medicine, University of Colorado, Aurora, CO, USA
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Catherine Pihoker
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Elizabeth J. Mayer-Davis
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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22
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Gao Z, Khoury PR, Dolan LM, Urbina EM. Direct and indirect effects of obesity on progression of carotid arterial injury in youth. Obesity (Silver Spring) 2021; 29:1892-1898. [PMID: 34651452 DOI: 10.1002/oby.23265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 07/12/2021] [Accepted: 07/13/2021] [Indexed: 11/05/2022]
Abstract
OBJECTIVE Increased carotid intima-media thickness (cIMT) is associated with cardiovascular (CV) events in adults and with elevated CV risk factors in youth. The aim of this study was to determine whether obesity has an direct or indirect association with cIMT. METHODS Structural equation modeling was used to elucidate pathways for obesity to change cIMT. Complete data were collected twice on 294 participants (mean age 17.5 years, 16% with type 2 diabetes). Latent baseline and follow-up cIMT, BMI, and CV risk factors were analyzed with SAS 9.4. Model fit was assessed. RESULTS There were increases in BMI, mean arterial pressure (MAP), low-density lipoprotein cholesterol, triglycerides, high-density lipoprotein (HDL) cholesterol, C-reactive protein, and glucose and a decrease in insulin and glycosylated hemoglobin over 5 years (all p < 0.05). Only bulb (0.031 mm) and internal (0.027 mm) cIMT increased (all p < 0.001). Significant direct effects on cIMT change were baseline MAP (β 0.23), BMI z score (β 0.16), change in glucose (β 0.37), and age (β 0.37; all p < 0.05). Change in MAP showed a trend (β 0.14, p = 0.10). BMI also had a significant indirect effect (β 0.17), whereas non-HDL demonstrated no significant effect. CONCLUSIONS Baseline adiposity drives increasing blood pressure and glucose in high-risk youth leading to accelerated accumulation of carotid arterial injury. Prevention of acquisition of obesity in youth is critical in slowing development of CV disease.
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Affiliation(s)
- Zhiqian Gao
- The Heart Institute, Cincinnati Children's Hospital Medical Center and the University of Cincinnati, Cincinnati, Ohio, USA
| | - Philip R Khoury
- The Heart Institute, Cincinnati Children's Hospital Medical Center and the University of Cincinnati, Cincinnati, Ohio, USA
| | - Lawrence M Dolan
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center and the University of Cincinnati, Cincinnati, Ohio, USA
| | - Elaine M Urbina
- The Heart Institute, Cincinnati Children's Hospital Medical Center and the University of Cincinnati, Cincinnati, Ohio, USA
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23
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Bowers K, Ehrlich S, Dolan LM, Gupta R, Altaye M, Ollberding NJ, Szczesniak R, Catalano P, Smith E, Khoury JC. Elevated Anthropometric and Metabolic Indicators among Young Adult Offspring of Mothers with Pregestational Diabetes: Early Results from the Transgenerational Effect on Adult Morbidity Study (the TEAM Study). J Diabetes Res 2021; 2021:6590431. [PMID: 34761006 PMCID: PMC8575612 DOI: 10.1155/2021/6590431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 09/30/2021] [Accepted: 10/15/2021] [Indexed: 12/03/2022] Open
Abstract
Exposure to maternal diabetes in utero increases the risk in the offspring for a range of metabolic disturbances. However, the timing and variability of in utero hyperglycemic exposure necessary to cause impairment have not been elucidated. The TEAM Study was initiated to evaluate young adult offspring of mothers with pregestational diabetes mellitus. This paper outlines the unique enrollment challenges of the TEAM Study and preliminary analysis of the association between exposure to diabetes in pregnancy and adverse metabolic outcomes. The TEAM Study enrolls offspring of women who participated in a Diabetes in Pregnancy (DiP) Program Project Grant between 1978 and 1995. The DiP Study collected medical and obstetric data across pregnancy. The first 96 eligible offspring of women with pregestational diabetes were age-, sex-, and race-matched to adults from the National Health and Nutrition Examination Survey (NHANES) 2015-2016 with an OGTT. Descriptive and regression analyses were employed to compare TEAM participants to NHANES participants. Among a subset of TEAM participants, we compared the metabolic outcomes across maternal glucose profiles using a longitudinal data clustering technique that characterizes level and variability, in maternal glucose across pregnancy. By comparing categories of BMI, TEAM Study participants had over 2.0 times the odds of being obese compared to matched NHANES participants (for class III obesity, OR = 2.81; 95% confidence interval (CI): 1.15, 6.87). Increasing levels of two-hour glucose were also associated with in utero exposure to pregestational diabetes in matched analyses. Exposure to pregestational diabetes in utero may be associated with an increased risk of metabolic impairment in the offspring with clinical implications.
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Affiliation(s)
- Katherine Bowers
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- University of Cincinnati College of Medicine, Department of Pediatrics, Cincinnati, Ohio, USA
| | - Shelley Ehrlich
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- University of Cincinnati College of Medicine, Department of Pediatrics, Cincinnati, Ohio, USA
| | - Lawrence M. Dolan
- University of Cincinnati College of Medicine, Department of Pediatrics, Cincinnati, Ohio, USA
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Resmi Gupta
- Biostatistics and Epidemiology/Research Design Component, Division of Clinical and Translational Sciences, Department of Internal Medicine, University of Texas McGovern Medical School, Houston, Texas, USA
| | - Mekibib Altaye
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- University of Cincinnati College of Medicine, Department of Pediatrics, Cincinnati, Ohio, USA
| | - Nicholas J. Ollberding
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- University of Cincinnati College of Medicine, Department of Pediatrics, Cincinnati, Ohio, USA
| | - Rhonda Szczesniak
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- University of Cincinnati College of Medicine, Department of Pediatrics, Cincinnati, Ohio, USA
| | - Patrick Catalano
- Tufts University School of Medicine, Friedman School of Nutrition, Science and Policy, Boston, Massachusetts, USA
| | - Emily Smith
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Jane C. Khoury
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- University of Cincinnati College of Medicine, Department of Pediatrics, Cincinnati, Ohio, USA
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
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Brady RP, Shah AS, Jensen ET, Stafford JM, D’Agostino RB, Dolan LM, Knight L, Imperatore G, Turley CB, Liese AD, Urbina EM, Lawrence JM, Pihoker C, Marcovina S, Dabelea D. Glycemic control is associated with dyslipidemia over time in youth with type 2 diabetes: The SEARCH for diabetes in youth study. Pediatr Diabetes 2021; 22:951-959. [PMID: 34363298 PMCID: PMC8530941 DOI: 10.1111/pedi.13253] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 05/03/2021] [Accepted: 07/28/2021] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Dyslipidemia has been documented in youth with type 2 diabetes. There is a paucity of studies examining dyslipidemia over time in youth with type 2 diabetes and associated risk factors. OBJECTIVE To evaluate lipids at baseline and follow-up and associated risk factors in youth with type 2 diabetes. METHODS We studied 212 youth with type 2 diabetes at baseline and after an average of 7 years of follow-up in the SEARCH for Diabetes in Youth Study. Abnormal lipids were defined as high-density lipoprotein cholesterol (HDL-C) < 35, low-density lipoprotein cholesterol (LDL-C) > 100, or triglycerides >150 (all mg/dl). We evaluated participants for progression to abnormal lipids (normal lipids at baseline and abnormal at follow-up), regression (abnormal lipids at baseline and normal at follow-up), stable normal, and stable abnormal lipids over time for HDL-C, LDL-C, and triglycerides. Associations between hemoglobin A1c (HbA1c) and adiposity over time (area under the curve [AUC]) with progression and stable abnormal lipids were evaluated. RESULTS HDL-C progressed, regressed, was stable normal, and stable abnormal in 12.3%, 11.3%, 62.3%, and 14.2% of participants, respectively. Corresponding LDL-C percentages were 15.6%, 12.7%, 42.9%, and 28.8% and triglycerides were 17.5%, 10.8%, 55.7%, and 16.0%. Each 1% increase in HbA1c AUC was associated with a 13% higher risk of progression and stable abnormal triglycerides and a 20% higher risk of progression and stable abnormal LDL-C. Higher adiposity AUC was marginally (p = 0.049) associated with abnormal HDL-C. CONCLUSIONS Progression and stable abnormal LDL-C and triglycerides occur in youth with type 2 diabetes and are associated with higher HbA1c.
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Affiliation(s)
- Ryan P Brady
- Department of Pediatrics, Cincinnati Children’s Hospital & University of Cincinnati, Cincinnati, OH USA 45229
| | - Amy S Shah
- Department of Pediatrics, Cincinnati Children’s Hospital & University of Cincinnati, Cincinnati, OH USA 45229
| | - Elizabeth T Jensen
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC USA 27157
| | - Jeanette M Stafford
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC USA 27157
| | - Ralph B D’Agostino
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC USA 27157
| | - Lawrence M Dolan
- Department of Pediatrics, Cincinnati Children’s Hospital & University of Cincinnati, Cincinnati, OH USA 45229
| | - Lisa Knight
- Department of Pediatrics, University of South Carolina School of Medicine, Columbia, SC USA 29203
| | - Giuseppina Imperatore
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA USA 30341
| | - Christine B Turley
- Department of Pediatrics, University of South Carolina School of Medicine, Columbia, SC USA 29203
| | - Angela D. Liese
- Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC USA 29208
| | - Elaine M Urbina
- Department of Pediatrics, Cincinnati Children’s Hospital & University of Cincinnati, Cincinnati, OH USA 45229
| | - Jean M Lawrence
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA USA 91101
| | - Catherine Pihoker
- Department of Pediatrics, University of Washington, Seattle, WA USA 98195
| | - Santica Marcovina
- Northwest Lipid Metabolism and Diabetes Research Laboratories, University of Washington, Seattle, WA USA 98195
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, CO USA 80045
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Shah AS, Isom S, Dabelea D, D'Agostino R, Dolan LM, Wagenknecht L, Imperatore G, Saydah S, Liese AD, Lawrence JM, Pihoker C, Urbina EM. A cross sectional study to compare cardiac structure and diastolic function in adolescents and young adults with youth-onset type 1 and type 2 diabetes: The SEARCH for Diabetes in Youth Study. Cardiovasc Diabetol 2021; 20:136. [PMID: 34233679 PMCID: PMC8265135 DOI: 10.1186/s12933-021-01328-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 06/29/2021] [Indexed: 01/19/2023] Open
Abstract
AIMS To compare left ventricular structure (LV) and diastolic function in young adults with youth- onset diabetes by type, determine the prevalence of abnormal diastolic function by diabetes type using published values from age similar healthy controls, and examine the risk factors associated with diastolic function. METHODS In a cross sectional analysis we compared LV structure and diastolic function from two dimensional echocardiogram in participants with type 1 (T1D) and type 2 diabetes (T2D) who participated in the SEARCH for Diabetes in Youth Study. Linear models were used to examine the risk factors associated with worse diastolic function. RESULTS Of 479 participants studied, 258 had T1D (mean age 21.2 ± 5.2 years, 60.5% non-Hispanic white, 53.9% female) and 221 had T2D (mean age 24.8 ± 4.3 years, 24.4% non-Hispanic white, 73.8% female). Median diabetes duration was 11.6 years. Participants with T2D had greater LV mass index and worse diastolic function that persisted after adjustment for differences in risk factors compared with participants with T1D (all p < 0.05). Abnormal diastolic function, quantified using healthy controls, was pronounced in both groups but greater in those with T2D than T1D (T2D: 57.7% vs T1D: 47.2%, respectively), p < 0.05. Risk factors associated with worse diastolic function included older age at diabetes diagnosis, female sex, higher BP, heart rate and HbA1c and longer diabetes duration. CONCLUSIONS LV structure and diastolic function is worse in individuals with T2D compared to T1D. However, abnormal diastolic function in seen in both groups compared to published values from age similar healthy controls.
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MESH Headings
- Adolescent
- Adult
- Age of Onset
- Case-Control Studies
- Cross-Sectional Studies
- Diabetes Mellitus, Type 1/diagnosis
- Diabetes Mellitus, Type 1/epidemiology
- Diabetes Mellitus, Type 2/diagnosis
- Diabetes Mellitus, Type 2/epidemiology
- Diastole
- Echocardiography
- Female
- Humans
- Hypertrophy, Left Ventricular/diagnostic imaging
- Hypertrophy, Left Ventricular/epidemiology
- Hypertrophy, Left Ventricular/physiopathology
- Male
- Predictive Value of Tests
- Prevalence
- Risk Assessment
- Risk Factors
- United States/epidemiology
- Ventricular Dysfunction, Left/diagnostic imaging
- Ventricular Dysfunction, Left/epidemiology
- Ventricular Dysfunction, Left/physiopathology
- Ventricular Function, Left
- Ventricular Remodeling
- Young Adult
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Affiliation(s)
- Amy S Shah
- Department of Pediatrics, Division of Endocrinology, Cincinnati Children's Hospital Medical Center and The University of Cincinnati, 3333 Burnet Ave ML 7012, Cincinnati, OH, 45229, USA.
| | - Scott Isom
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus (CU-Anschutz), Aurora, USA
| | - Ralph D'Agostino
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, USA
| | - Lawrence M Dolan
- Department of Pediatrics, Division of Endocrinology, Cincinnati Children's Hospital Medical Center and The University of Cincinnati, 3333 Burnet Ave ML 7012, Cincinnati, OH, 45229, USA
| | - Lynne Wagenknecht
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, USA
| | - Giuseppina Imperatore
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, USA
| | - Sharon Saydah
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, USA
| | - Angela D Liese
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, USA
| | - Jean M Lawrence
- Department of Research & Evaluation, Kaiser Permanente Southern California, Los Angeles, USA
| | - Cate Pihoker
- Department of Pediatrics, The University of Washington, Washington, USA
| | - Elaine M Urbina
- Department of Pediatrics, Division of Endocrinology, Cincinnati Children's Hospital Medical Center and The University of Cincinnati, 3333 Burnet Ave ML 7012, Cincinnati, OH, 45229, USA
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Jensen ET, Stafford JM, Saydah S, D'Agostino RB, Dolan LM, Lawrence JM, Marcovina S, Mayer-Davis EJ, Pihoker C, Rewers A, Dabelea D. Increase in Prevalence of Diabetic Ketoacidosis at Diagnosis Among Youth With Type 1 Diabetes: The SEARCH for Diabetes in Youth Study. Diabetes Care 2021; 44:1573-1578. [PMID: 34099516 PMCID: PMC8323183 DOI: 10.2337/dc20-0389] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 04/24/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE We previously reported a high (˜30%) but stable prevalence of diabetic ketoacidosis (DKA) at youth-onset diagnosis of type 1 diabetes (2002 and 2010). Given the changing demographics of youth-onset type 1 diabetes, we sought to evaluate temporal trends in the prevalence of DKA at diagnosis of type 1 diabetes from 2010 to 2016 among youth <20 years of age and evaluate whether any change observed was associated with changes in sociodemographic distribution of those recently diagnosed. RESEARCH DESIGN AND METHODS We calculated prevalence of DKA within 1 month of type 1 diabetes diagnosis by year and evaluated trends over time (2010-2016) (n = 7,612 incident diabetes cases; mean [SD] age 10.1 [4.5] at diagnosis). To assess whether trends observed were attributable to the changing distribution of sociodemographic factors among youth with incident type 1 diabetes, we estimated an adjusted relative risk (RR) of DKA in relation to calendar year, adjusting for age, sex, race/ethnicity, income, education, health insurance status, language, season of diagnosis, and SEARCH for Diabetes in Youth Study site. RESULTS DKA prevalence increased from 35.3% (95% CI 32.2, 38.4) in 2010 to 40.6% (95% CI 37.8, 43.4) in 2016 (P trend = 0.01). Adjustment for sociodemographic factors did not substantively change the observed trends. We observed a 2% annual increase in prevalence of DKA at or near diagnosis of type 1 diabetes (crude RR 1.02 [95% CI 1.01, 1.04] and adjusted RR 1.02 [95% CI 1.01, 1.04]; P = 0.01 for both). CONCLUSIONS Prevalence of DKA at or near type 1 diabetes diagnosis has increased from 2010 to 2016, following the high but stable prevalence observed from 2002 to 2010. This increase does not seem to be attributable to the changes in distribution of sociodemographic factors over time.
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Affiliation(s)
- Elizabeth T Jensen
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC
| | - Jeanette M Stafford
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC
| | - Sharon Saydah
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA
| | | | - Lawrence M Dolan
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH
| | - Jean M Lawrence
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Santica Marcovina
- Northwest Lipid Research Laboratories, University of Washington, Seattle, WA
| | | | | | - Arleta Rewers
- Department of Pediatrics, University of Colorado Denver, Aurora, CO
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, CO
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Monzon AD, Smith LB, Powers SW, Dolan LM, Patton SR. The Association Between Glycemic Variability and Macronutrients in Young Children with T1D. J Pediatr Psychol 2021; 45:749-758. [PMID: 32642773 DOI: 10.1093/jpepsy/jsaa046] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 05/15/2020] [Accepted: 05/29/2020] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVE There is limited information regarding the potential effect macronutrients have on postprandial glycemic variability in young children with type 1 diabetes (T1D). To date, studies examining nutrition and glycemic outcomes either assess these factors at a single timepoint, or aggregate large datasets for group level analyses. This study examined how inter- and intraindividual fluctuations in carbohydrate, fat, and protein intake impact glycemic variability in the postprandial period for young children with T1D. METHODS Thirty-nine young children, aged 2-6 years, wore a continuous glucose monitor for 72 hr, while their parents completed detailed diet records of all food intake. The analyses tested three multilevel models to examine intra- and interindividual differences between food intake and postprandial glycemic variability. RESULTS The results suggest carbohydrate intake, relates to greater postprandial glycemic variability. In contrast, the results reveal the inverse effect for protein, suggesting a tendency for young children who ate more protein at some meals to have lower postprandial glycemic variability, with the exception of lunch. There was no effect for fat on postprandial glycemic variability. CONCLUSION These results suggest protein consumption may be an important consideration when aiming for optimal glycemic levels for some meals. When counseling parents of young children with T1D on common behaviors underlying glycemic excursion, pediatric psychologists may consider discussing the nutritional make up of children's meals. Further, the results demonstrate retaining longitudinal data at the person level, versus aggregating individual data for group level analyses, may offer new information regarding macronutrient intake and glycemic outcomes.
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Affiliation(s)
| | - Laura B Smith
- Division of Behavioral Medicine & Clinical Psychology, Cincinnati Children's Hospital Medical Center
| | - Scott W Powers
- Division of Behavioral Medicine & Clinical Psychology, Cincinnati Children's Hospital Medical Center
| | - Lawrence M Dolan
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center
| | - Susana R Patton
- Nemours Center for Healthcare Delivery-Florida, Nemours Children's Health System
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Dabelea D, Sauder KA, Jensen ET, Mottl AK, Huang A, Pihoker C, Hamman RF, Lawrence J, Dolan LM, Agostino RD, Wagenknecht L, Mayer-Davis EJ, Marcovina SM. Twenty years of pediatric diabetes surveillance: what do we know and why it matters. Ann N Y Acad Sci 2021; 1495:99-120. [PMID: 33543783 DOI: 10.1111/nyas.14573] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 01/14/2021] [Accepted: 01/20/2021] [Indexed: 12/23/2022]
Abstract
SEARCH for Diabetes in Youth (SEARCH) was initiated in 2000 as a multicenter study to address major gaps in the understanding of childhood diabetes in the United States. An active registry of youth diagnosed with diabetes at age <20 years since 2002 assessed prevalence, annual incidence, and trends by age, race/ethnicity, sex, and diabetes type. An observational cohort nested within the population-based registry was established to assess the natural history and risk factors for acute and chronic diabetes-related complications, as well as the quality of care and quality of life of children and adolescents with diabetes from diagnosis into young adulthood. SEARCH findings have contributed to a better understanding of the complex and heterogeneous nature of youth-onset diabetes. Continued surveillance of the burden and risk of type 1 and type 2 diabetes is important to track and monitor incidence and prevalence within the population. SEARCH reported evidence of early diabetes complications highlighting that continuing the long-term follow-up of youth with diabetes is necessary to further our understanding of its natural history and to develop the most appropriate approaches to primary, secondary, and tertiary prevention of diabetes and its complications. This review summarizes two decades of research and suggests avenues for further work.
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Affiliation(s)
- Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes Center, Department of Epidemiology and Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Katherine A Sauder
- Lifecourse Epidemiology of Adiposity and Diabetes Center, Department of Epidemiology and Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Elizabeth T Jensen
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Amy K Mottl
- Division of Nephrology and Hypertension, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Alyssa Huang
- Department of Pediatrics, University of Washington, Seattle, Washington
| | - Catherine Pihoker
- Department of Pediatrics, University of Washington, Seattle, Washington
| | - Richard F Hamman
- Lifecourse Epidemiology of Adiposity and Diabetes Center, Department of Epidemiology and Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Jean Lawrence
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - Lawrence M Dolan
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Ralph D' Agostino
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Lynne Wagenknecht
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Elizabeth J Mayer-Davis
- Department of Nutrition and Medicine, University of North Carolina, Chapel Hill, North Carolina
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Westreich KD, Isom S, Divers J, D'Agostino R, Lawrence JM, Kanakatti Shankar R, Dolan LM, Imperatore G, Dabelea D, Mayer-Davis EJ, Mottl AK. Trajectories in estimated glomerular filtration rate in youth-onset type 1 and type 2 diabetes: The SEARCH for Diabetes in Youth Study. J Diabetes Complications 2021; 35:107768. [PMID: 33168393 PMCID: PMC7855388 DOI: 10.1016/j.jdiacomp.2020.107768] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 10/14/2020] [Accepted: 10/14/2020] [Indexed: 11/29/2022]
Abstract
AIMS We sought to characterize the direction and associated factors of eGFR change following diagnosis of youth-onset type 1 and type 2 diabetes. METHODS We assessed the direction of eGFR change at two visits (mean 6.6 years apart) in SEARCH, a longitudinal cohort study of youth-onset type 1 and type 2 diabetes. We used the CKiDCr-CysC equation to estimate GFR and categorized 'rising' and 'declining' eGFR as an annual change of ≥3 ml/min/1.73 m2 in either direction. Multivariable logistic regression evaluated factors associated with directional change in eGFR. RESULTS Estimated GFR declined in 23.8% and rose in 2.8% of participants with type 1 diabetes (N = 1225; baseline age 11.4 years), and declined in 18.1% and rose in 15.6% of participants with type 2 diabetes (N = 160; baseline age 15.0 years). Factors associated with rising and declining eGFR (versus stable) in both type 1 and type 2 diabetes included sex, age at diagnosis, baseline eGFR and difference in fasting glucose between study visits. Additional factors in type 1 diabetes included time from baseline visit, HbA1c and body mass index. CONCLUSIONS Over the first decade of diabetes, eGFR decline is more common in type 1 diabetes whereas eGFR rise is more common in type 2 diabetes.
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Affiliation(s)
- Katherine D Westreich
- University of North Carolina Kidney Center, UNC School of Medicine, Chapel Hill, NC, United States of America.
| | - Scott Isom
- Department of Biostatistical Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, United States of America.
| | - Jasmin Divers
- Department of Biostatistical Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, United States of America.
| | - Ralph D'Agostino
- Department of Biostatistical Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, United States of America.
| | - Jean M Lawrence
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States of America.
| | - Roopa Kanakatti Shankar
- Division of Endocrinology, Children's National Medical Center, Washington, DC, United States of America
| | - Lawrence M Dolan
- Division of Endocrinology, Cincinnati Children's Hospital, Cincinnati, OH, United States of America.
| | - Giuseppina Imperatore
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States of America.
| | - Dana Dabelea
- Department of Epidemiology, School of Public Health, University of Colorado Denver, Aurora, CO, United States of America.
| | - Elizabeth J Mayer-Davis
- Department of Nutrition, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, United States of America; Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, United States of America.
| | - Amy K Mottl
- University of North Carolina Kidney Center, UNC School of Medicine, Chapel Hill, NC, United States of America.
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30
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Praveen PA, Hockett CW, Ong TC, Anandakumar A, Isom SP, Jensen ET, Mohan V, Dabelea DA, D'Agostino RB, Hamman RF, Mayer-Davis EJ, Lawrence JM, Dolan LM, Kahn MG, Madhu SV, Tandon N. Diabetic ketoacidosis at diagnosis among youth with type 1 and type 2 diabetes: Results from SEARCH (United States) and YDR (India) registries. Pediatr Diabetes 2021; 22:40-46. [PMID: 31943641 PMCID: PMC7748377 DOI: 10.1111/pedi.12979] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Revised: 12/12/2019] [Accepted: 01/09/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND There is significant global variation in the prevalence of diabetic ketoacidosis (DKA) at diagnosis among youth with type 1 diabetes (T1D). However, data for youth with type 2 diabetes (T2D) are limited, even in developed countries. We compared the prevalence of DKA at diagnosis among individuals with T1D and T2D from the SEARCH for Diabetes in Youth (SEARCH) and the Registry of Youth Onset Diabetes in India (YDR) registries. METHODS We harmonized the SEARCH and YDR registries to the structure and terminology in the Observational Medical Outcome Partnership Common Data Model. Data used were from youth with T1D and T2D diagnosed before 20 years and newly diagnosed between 2006 and 2012 in YDR and 2009 and 2012 in SEARCH. RESULTS There were 5366 US youth (4078 with T1D, 1288 with T2D) and 2335 Indian youth (2108 with T1D, 227 with T2D). More than one third of T1D youth enrolled in SEARCH had DKA at diagnosis which was significantly higher than in YDR (35.3% vs 28.7%, P < .0001). The burden of DKA in youth with T1D was significantly higher among younger age groups; this relationship was similar across registries (P = .4). The prevalence of DKA among T2D in SEARCH and YDR were 5.5% and 6.6% respectively (P = .4). CONCLUSIONS There is significant burden of DKA at diagnosis with T1D among youth from United States and India, especially among the younger age groups. The reasons for this high prevalence are largely unknown but are critical to developing interventions to prevent DKA at diagnosis.
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Affiliation(s)
- Pradeep A Praveen
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Christine W Hockett
- Lifecourse Epidemiology of Adiposity and Diabetes Center, Colorado School of Public Health, University of Colorado Denver, Aurora, CO
| | - Toan C Ong
- Department of Pediatrics, University of Colorado, Aurora, CO
| | - Amutha Anandakumar
- Dr. Mohan’s Diabetes Specialties Centre and Madras Diabetes Research Foundation, Chennai, India
| | - Scott P Isom
- Department of Biostatistics and Bioinformatics, Wake Forest School of Medicine, Winston-Salem, NC
| | - Elizabeth T Jensen
- Department of Epidemiology, Wake Forest School of Medicine, Winston-Salem, NC
| | - Viswanathan Mohan
- Dr. Mohan’s Diabetes Specialties Centre and Madras Diabetes Research Foundation, Chennai, India
| | - Dana A Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes Center, Colorado School of Public Health, University of Colorado Denver, Aurora, CO
| | - Ralph B D'Agostino
- Department of Biostatistics and Bioinformatics, Wake Forest School of Medicine, Winston-Salem, NC
| | - Richard F Hamman
- Lifecourse Epidemiology of Adiposity and Diabetes Center, Colorado School of Public Health, University of Colorado Denver, Aurora, CO
| | | | - Jean M Lawrence
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Lawrence M. Dolan
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Michael G Kahn
- Department of Pediatrics, University of Colorado, Aurora, CO
| | - SV Madhu
- University College of Medical Science, GTB Hospital, Delhi, India
| | - Nikhil Tandon
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
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Tran AH, Kimball TR, Khoury PR, Dolan LM, Urbina EM. Obese and Type 2 Diabetic Youth Have Increased Forward and Backward Wave Reflections. Arterioscler Thromb Vasc Biol 2020; 41:944-950. [PMID: 33297750 DOI: 10.1161/atvbaha.120.315317] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
OBJECTIVE Pulse wave analysis estimates arterial wave reflections relating to left ventricular dysfunction and cardiovascular event risk in adults. Forward and backward waves (Pf and Pb) may improve risk stratification for cardiovascular events. Data in youth are lacking. We hypothesized that a significant difference in wave reflections would be identified in young subjects with adverse cardiovascular risk factors. Approach and Results: Vital signs and labs were obtained in 551 patients aged 10 to 24 years who were lean (L=199), obese (O=173), or had type 2 diabetes (T=179). Wave separation was performed. Differences in cardiovascular risk factors and wave reflections were assessed using ANOVA. General linear models were constructed to elucidate independent predictors of wave reflections. O and T subjects had an adverse cardiovascular risk profile versus L. O and T subjects had higher Pf and Pb versus L (P≤0.05). When adjusted for adiposity and other cardiovascular risk factors, reflection magnitude increased from L to O to T with higher T versus L values (P≤0.05) and near-significant O versus L values (P=0.06). Adiposity and blood pressure were major determinants of wave reflections. Pb influenced log left ventricular mass index, log E/e', and log composite carotid intima-media thickness. CONCLUSIONS Adolescents and young adults with obesity and type 2 diabetes have altered forward and backward wave reflections versus lean controls related to adiposity, BP, and insulin levels. These parameters may help risk stratify patients with adverse cardiovascular risk factors.
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Affiliation(s)
- Andrew H Tran
- Division of Cardiology (A.H.T., P.R.K., E.M.U.), Cincinnati Children's Hospital Medical Center, OH.,University of Cincinnati, OH (A.H.T., P.R.K., L.M.D., E.M.U.).,Division of Cardiology, Nationwide Children's Hospital, Columbus, OH (A.H.T.).,The Ohio State University, Columbus (A.H.T.)
| | - Thomas R Kimball
- Division of Cardiology, Children's Hospital of New Orleans, LA (T.R.K.)
| | - Philip R Khoury
- Division of Cardiology (A.H.T., P.R.K., E.M.U.), Cincinnati Children's Hospital Medical Center, OH.,University of Cincinnati, OH (A.H.T., P.R.K., L.M.D., E.M.U.)
| | - Lawrence M Dolan
- Division of Endocrinology (L.M.D.), Cincinnati Children's Hospital Medical Center, OH.,University of Cincinnati, OH (A.H.T., P.R.K., L.M.D., E.M.U.)
| | - Elaine M Urbina
- Division of Cardiology (A.H.T., P.R.K., E.M.U.), Cincinnati Children's Hospital Medical Center, OH.,University of Cincinnati, OH (A.H.T., P.R.K., L.M.D., E.M.U.)
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Semova I, Levenson AE, Krawczyk J, Bullock K, Williams KA, Wadwa RP, Khoury PR, Kimball TR, Urbina EM, de Ferranti SD, Maahs DM, Dolan LM, Shah AS, Clish CB, Biddinger SB. Markers of cholesterol synthesis are elevated in adolescents and young adults with type 2 diabetes. Pediatr Diabetes 2020; 21:1126-1131. [PMID: 32738021 PMCID: PMC7855867 DOI: 10.1111/pedi.13097] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Revised: 07/07/2020] [Accepted: 07/28/2020] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Changes in cholesterol absorption and cholesterol synthesis may promote dyslipidemia and cardiovascular disease in individuals with type 2 diabetes mellitus (T2DM). OBJECTIVE To assess cholesterol synthesis and absorption in lean individuals, obese individuals, and individuals with T2DM. METHODS We measured lathosterol and lanosterol (markers of cholesterol synthesis) as well as campesterol and β-sitosterol (markers of cholesterol absorption) in the serum of 15 to 26 years old individuals with T2DM (n = 95), as well as their lean (n = 98) and obese (n = 92) controls. RESULTS Individuals with T2DM showed a 51% increase in lathosterol and a 65% increase in lanosterol compared to lean controls. Similarly, obese individuals showed a 31% increase in lathosterol compared to lean controls. Lathosterol and lanosterol were positively correlated with body mass index, fasting insulin and glucose, serum triglycerides, and C-reactive protein, and negatively correlated with HDL-cholesterol. In contrast, campesterol and β-sitosterol were not altered in individuals with T2DM. Moreover, campesterol and β-sitosterol were negatively correlated with body mass index, fasting insulin, and C-reactive protein and were positively correlated with HDL-cholesterol. CONCLUSIONS Adolescents and young adults with T2DM show evidence of increased cholesterol synthesis compared to non-diabetic lean controls. These findings suggest that T2DM may promote cardiovascular disease by increasing cholesterol synthesis, and provide additional rationale for the use of cholesterol synthesis inhibitors in this group.
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Affiliation(s)
- Ivana Semova
- Division of Endocrinology, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Amy E. Levenson
- Division of Endocrinology, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Joanna Krawczyk
- Division of Endocrinology, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Kevin Bullock
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Kathryn A. Williams
- Division of Endocrinology, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts,Biostatistics and Research Design Center, Boston Children’s Hospital, Boston, Massachusetts
| | - R. Paul Wadwa
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado
| | - Philip R. Khoury
- Division of Cardiology, Cincinnati Children’s Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio
| | - Thomas R. Kimball
- Division of Cardiology, Cincinnati Children’s Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio
| | - Elaine M. Urbina
- Heart Institute, Cincinnati Children’s Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio
| | - Sarah D. de Ferranti
- Department of Cardiology, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - David M. Maahs
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado
| | - Lawrence M. Dolan
- Division of Endocrinology, Cincinnati Children’s Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio
| | - Amy S. Shah
- Division of Endocrinology, Cincinnati Children’s Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio
| | - Clary B. Clish
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Sudha B. Biddinger
- Division of Endocrinology, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
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Gourgari E, Stafford JM, D’Agostino R, Dolan LM, Lawrence JM, Marcovina S, Merjaneh L, Mottl AK, Shah AS, Dabelea D. The association of low-density lipoprotein cholesterol with elevated arterial stiffness in adolescents and young adults with type 1 and type 2 diabetes: The SEARCH for Diabetes in Youth study. Pediatr Diabetes 2020; 21:863-870. [PMID: 32304144 PMCID: PMC7709736 DOI: 10.1111/pedi.13021] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 04/01/2020] [Accepted: 04/05/2020] [Indexed: 12/24/2022] Open
Abstract
AIM Our aim was to explore the relationship of Low-Density Lipoprotein Cholesterol (LDL-C) with subclinical cardiovascular disease (CVD) in youth with T1D and T2D. We hypothesized the association of LDL-C with elevated arterial stiffness (AS) would be partially accounted by the co-occurrence of other CVD factors. METHOD We included 1376 youth with T1D and 157 with T2D from the SEARCH study. CVD risk factors including LDL-C, waist to height ratio (WHtR), mean arterial pressure (MAP), HbA1c, albumin to creatinine ratio (ACR), and insulin sensitivity (IS) score were measured at both visits. At follow up, elevated carotid-femoral AS was defined as levels above 6.8 m/s. Multivariable logistic regression evaluated the odds of elevated AS as a function of the average CVD risk factors. RESULTS At follow up, age was 18.0 ± 4.1 and 21.6 ± 3.5 years and duration of diabetes was 7.8 ± 1.9 and 7.7 ± 1.9 years in T1D and T2D, respectively. Elevated AS was found in 8.4% of T1D and 49.0% of T2D participants. Each SD increase in LDL-C was associated with 1.28 increased odds (95% CI 1.05-1.54, P = .013) of elevated AS in youth with T1D. The association was similar but not statistically significant in T2D. WHtR, IS, and MAP were associated with elevated AS in both groups. Adjustment for WHtR or IS attenuated to non-significance the relationship between LDL-C and AS in T1D. CONCLUSIONS Obesity and insulin resistance attenuate the association of high LDL-C with AS suggesting they partially account for the adverse effects of LDL-C on cardiovascular health in youth with T1D.
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Affiliation(s)
- Evgenia Gourgari
- Division of Pediatric Endocrinology, Department of Pediatrics, Georgetown University, Washington, District of Columbia,Section on Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, Maryland
| | - Jeanette M. Stafford
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Ralph D’Agostino
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Lawrence M. Dolan
- Division of Endocrinology, Department of Pediatrics, Cincinnati Children’s Hospital and the University of Cincinnati, Cincinnati, Ohio
| | - Jean M. Lawrence
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - Santica Marcovina
- Northwest Lipid Metabolism and Diabetes Research Laboratories, University of Washington, Seattle, Washington
| | - Lina Merjaneh
- Division of Endocrinology, Department of Pediatrics, Seattle Children’s Hospital, Seattle, Washington
| | - Amy K. Mottl
- UNC Division of Nephrology and Hypertension, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Amy S. Shah
- Division of Endocrinology, Department of Pediatrics, Cincinnati Children’s Hospital and the University of Cincinnati, Cincinnati, Ohio
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado
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Reid LA, Geraci M, Mendoza JA, Reboussin BA, Pate RR, Sauder KA, Dolan LM, Kim G, Lawrence JM, Liese AD. Association Of Household Food Security And Physical Activity Among Youth And Young Adults With Diabetes. Med Sci Sports Exerc 2020. [DOI: 10.1249/01.mss.0000680552.16270.16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Ryder JR, Northrop E, Rudser KD, Kelly AS, Gao Z, Khoury PR, Kimball TR, Dolan LM, Urbina EM. Accelerated Early Vascular Aging Among Adolescents With Obesity and/or Type 2 Diabetes Mellitus. J Am Heart Assoc 2020; 9:e014891. [PMID: 32370578 PMCID: PMC7660865 DOI: 10.1161/jaha.119.014891] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background The normal rate of subclinical vascular aging from adolescence to young adulthood has not been well‐characterized. We conducted a 5‐year longitudinal study among adolescents with normal‐weight, obesity, and/or type 2 diabetes mellitus to examine trajectories of early vascular aging. Methods and Results Adolescents (mean [SD] age 17.6 [3.5]; 35.3% male) had either normal weight (n=141), obesity (n=156), or type 2 diabetes mellitus (n=151) at baseline. Primary metrics used for early vascular aging included measures of vascular structure (carotid intima‐media thickness [cIMT]; common, internal, and bulb) and arterial stiffness (carotid‐femoral pulse wave velocity, and augmentation index). Longitudinal (5‐year) outcomes were examined using generalized estimating equations adjusting for baseline value, sex, race, and age. Compared with participants with normal weight, those with obesity had greater positive change in common cIMT (0.05 mm [0.03, 0.06]; P<0.001), bulb cIMT (0.02 mm [0.00, 0.05]; P=0.033), internal cIMT (0.03 mm [0.01, 0.05]; P<0.001), and pulse wave velocity carotid‐femoral (0.38 m/sec [0.14, 0.61]; P=0.001), and those with type 2 diabetes mellitus had greater positive change in common cIMT (0.05 mm [0.04, 0.07]; P<0.001), bulb cIMT (0.06 mm [0.04, 0.09]; P<0.001), internal cIMT (0.04 mm [0.02, 0.07]; P<0.001), augmentation index (4.67% [2.20, 7.13]; P<0.001), and pulse wave velocity carotid‐femoral (0.74 m/sec [0.46, 1.02]; P<0.001). Higher baseline systolic blood pressure was associated with greater positive change in common cIMT (0.007 mm [0.003, 0.011]; P<0.001), bulb cIMT (0.009 mm [0.002, 0.016]; P=0.01), internal cIMT (0.008 mm [0.003, 0.013]; P=0.001), and pulse wave velocity carotid‐femoral (0.066 m/sec [0.002, 0.130]; P=0.042). Conclusions These longitudinal data support the hypothesis that the presence of obesity, type 2 diabetes mellitus, and elevated baseline systolic blood pressure in early life accelerates the progression of risk factors key in the development of early vascular aging.
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Affiliation(s)
- Justin R Ryder
- Department of Pediatrics University of Minnesota Medical School Minneapolis MN.,Center for Pediatric Obesity Medicine University of Minnesota Medical School Minneapolis MN
| | - Elise Northrop
- Division of Biostatistics University of Minnesota Minneapolis MN
| | - Kyle D Rudser
- Center for Pediatric Obesity Medicine University of Minnesota Medical School Minneapolis MN.,Division of Biostatistics University of Minnesota Minneapolis MN
| | - Aaron S Kelly
- Department of Pediatrics University of Minnesota Medical School Minneapolis MN.,Center for Pediatric Obesity Medicine University of Minnesota Medical School Minneapolis MN
| | - Zhiqian Gao
- Cincinnati Children's Hospital Medical Center University of Cincinnati OH
| | - Philip R Khoury
- Cincinnati Children's Hospital Medical Center University of Cincinnati OH
| | - Thomas R Kimball
- Children's Hospital of New Orleans and Louisiana State University Health Sciences Center New Orleans LA USA
| | - Lawrence M Dolan
- Cincinnati Children's Hospital Medical Center University of Cincinnati OH
| | - Elaine M Urbina
- Cincinnati Children's Hospital Medical Center University of Cincinnati OH
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Logan K, Lloyd RS, Schafer-Kalkhoff T, Khoury JC, Ehrlich S, Dolan LM, Shah AS, Myer GD. Youth sports participation and health status in early adulthood: A 12-year follow-up. Prev Med Rep 2020; 19:101107. [PMID: 32477851 PMCID: PMC7248647 DOI: 10.1016/j.pmedr.2020.101107] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 02/26/2020] [Accepted: 04/26/2020] [Indexed: 11/18/2022] Open
Abstract
Examining association between serial participation in youth organized sports (OS) and concurrent cardiometabolic risk factors, with long-term health status, will aid understanding the role of OS participation. Combining data from a prospective study and a follow-up survey, we aimed to determine association between youth OS participation and cardiometabolic risk factors with health and physical activity (PA) in young adulthood. Cardiometabolic risk factors were monitored yearly, and OS involvement through middle school, high school, and college, together with current status was recorded 12 years after the initial study began; 462 participants completed follow-up. Cardiometabolic risk factors included: body mass index (BMI), waist circumference, blood pressure, total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL) cholesterol and triglycerides, fasting glucose and insulin. Participants continuing OS participation from middle to high school and/or college had significantly lower BMI/BMI z-scores [24.7 vs 27.4 (p < 0.05) and 0.51 vs 0.82 (p < 0.05), respectively] and significantly higher HDL [48.7 vs 45.4 (p ≤ 0.05)] than those without OS participation after middle school. Waist circumference of females was significantly smaller in those who participated in OS from middle to high school and/or college (84.9 cm) compared to those who had no OS (92.1 cm), (p < 0.05). Participants continuing OS from middle to high school and/or college reported significantly higher follow-up PA levels than those who had no OS after middle school (p < 0.001). This study provides novel data showing serial participation in OS from middle to high school and/or college was associated with a superior cardiometabolic health profile in school and increased PA levels at 12-year follow-up.
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Affiliation(s)
- Kelsey Logan
- Division of Sports Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.,Departments of Pediatrics and Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Rhodri S Lloyd
- Youth Physical Development Centre, Cardiff School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff, UK
| | - Tara Schafer-Kalkhoff
- Division of Pediatric & Adolescent Gynecology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Jane C Khoury
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States.,Division of Biostatistics & Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Shelley Ehrlich
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States.,Division of Biostatistics & Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Lawrence M Dolan
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Amy S Shah
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Gregory D Myer
- Division of Sports Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.,Departments of Pediatrics and Orthopedic Surgery, University of Cincinnati College of Medicine, Cincinnati, OH, United States.,The Micheli Center for Sports Injury Prevention, Waltham, MA, United States
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Kaur N, Starling AP, Calafat AM, Sjodin A, Clouet-Foraison N, Dolan LM, Imperatore G, Jensen ET, Lawrence JM, Ospina M, Pihoker C, Taylor KW, Turley C, Dabelea D, Jaacks LM. Longitudinal association of biomarkers of pesticide exposure with cardiovascular disease risk factors in youth with diabetes. Environ Res 2020; 181:108916. [PMID: 31761333 PMCID: PMC6982582 DOI: 10.1016/j.envres.2019.108916] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 11/08/2019] [Accepted: 11/09/2019] [Indexed: 05/04/2023]
Abstract
BACKGROUND Cardiovascular disease (CVD) is the leading cause of death among individuals with diabetes, but little is known about the role of exposures to environmental chemicals such as pesticides in the early development of CVD risk in this population. OBJECTIVES To describe changes over time in concentrations of pesticide biomarkers among youth with diabetes in the United States and to estimate the longitudinal association between these concentrations and established risk factors for CVD. METHODS Pesticide biomarkers were quantified in urine and serum samples from 87 youth with diabetes participating in the multi-center SEARCH cohort study. Samples were obtained around the time of diagnosis (baseline visit, between 2006 and 2010) and, on average, 5.4 years later (follow-up visit, between 2012 and 2015). We calculated geometric mean (95% CI) pesticide biomarker concentrations. Eight CVD risk factors were measured at these two time points: body mass index (BMI) z-score, HbA1c, insulin sensitivity, fasting C-peptide (FCP), LDL cholesterol, HDL cholesterol, total cholesterol, and triglycerides. Linear regression models were used to estimate the associations between each pesticide biomarker at baseline and each CVD risk factor at follow-up, adjusting for baseline health outcome, elapsed time between baseline and follow up, sex, age, race/ethnicity, and diabetes type. RESULTS Participants were, on average, 14.2 years old at their baseline visit, and most were diagnosed with type 1 diabetes (57.5%). 4-nitrophenol, 3-phenoxybenzoic acid, 2,4-dichlorophenoxyacetic acid (2,4-D), 3,5,6-trichloro-2-pyridinol, 2,2-bis(4-chlorophenyl)-1,1-dichloroethene, and hexachlorobenzene were detected in a majority of participants at both time points. Participants in the highest quartile of 2,4-D and 4-nitrophenol at baseline had HbA1c levels at follow-up that were 1.05 percentage points (95% CI: -0.40, 2.51) and 1.27 percentage points (0.22, 2.75) higher, respectively, than participants in the lowest quartile of these pesticide biomarkers at baseline. These participants also had lower log FCP levels (indicating reduced beta-cell function) compared to participants in the lowest quartile at baseline: beta (95% CI) for log FCP of -0.64 (-1.17, -0.11) for 2,4-D and -0.39 (-0.96, 0.18) for 4-nitrophenol. In other words, participants in the highest quartile of 2,4-D had a 47.3% lower FCP level compared to participants in the lowest quartile, and those in the highest quartile of 4-nitrophenol had a 32.3% lower FCP level than those in the lowest quartile. Participants with trans-nonachlor concentrations in the highest quartile at baseline had HbA1c levels that were 1.45 percentage points (-0.11, 3.01) higher and log FCP levels that were -0.28 (-0.84, 0.28) lower than participants in the lowest quartile at baseline, that is to say, participants in the highest quartile of trans-nonachlor had a 24.4% lower FCP level than those in the lowest quartile. While not all of these results were statistically significant, potentially due to the small same size, clinically, there appears to be quantitative differences. No associations were observed between any pesticide biomarker at baseline with BMI z-score or insulin sensitivity at follow-up. CONCLUSIONS Exposure to select pesticides may be associated with impaired beta-cell function and poorer glycemic control among youth with diabetes.
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Affiliation(s)
- Navdep Kaur
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Antonia M Calafat
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Andreas Sjodin
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Noemie Clouet-Foraison
- Northwest Lipid Metabolism and Diabetes Research Laboratory, Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Lawrence M Dolan
- Division of Endocrinology, Department of Pediatrics, University of Cincinnati, College of Medicine, Cincinnati, OH, USA
| | - Giuseppina Imperatore
- Division of Diabetes Translation, Centers for Disease Control and Prevention (CDC), National Center for Chronic Disease Prevention and Health Promotion, Atlanta, GA, USA
| | - Elizabeth T Jensen
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jean M Lawrence
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Maria Ospina
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Catherine Pihoker
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Kyla W Taylor
- Office of Health Assessment and Translation, National Toxicology Program, National Institute of Environmental Health Sciences, Durham, NC, USA
| | - Christine Turley
- Department of Pediatrics, University of South Carolina School of Medicine, Columbia, SC, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Lindsay M Jaacks
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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Kahkoska AR, Nguyen CT, Jiang X, Adair LA, Agarwal S, Aiello AE, Burger KS, Buse JB, Dabelea D, Dolan LM, Imperatore G, Lawrence JM, Marcovina S, Pihoker C, Reboussin BA, Sauder KA, Kosorok MR, Mayer-Davis EJ. Characterizing the weight-glycemia phenotypes of type 1 diabetes in youth and young adulthood. BMJ Open Diabetes Res Care 2020; 8:8/1/e000886. [PMID: 32049631 PMCID: PMC7039605 DOI: 10.1136/bmjdrc-2019-000886] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 12/27/2019] [Accepted: 01/04/2020] [Indexed: 12/13/2022] Open
Abstract
INTRODUCTION Individuals with type 1 diabetes (T1D) present with diverse body weight status and degrees of glycemic control, which may warrant different treatment approaches. We sought to identify subgroups sharing phenotypes based on both weight and glycemia and compare characteristics across subgroups. RESEARCH DESIGN AND METHODS Participants with T1D in the SEARCH study cohort (n=1817, 6.0-30.4 years) were seen at a follow-up visit >5 years after diagnosis. Hierarchical agglomerative clustering was used to group participants based on five measures summarizing the joint distribution of body mass index z-score (BMIz) and hemoglobin A1c (HbA1c) which were estimated by reinforcement learning tree predictions from 28 covariates. Interpretation of cluster weight status and glycemic control was based on mean BMIz and HbA1c, respectively. RESULTS The sample was 49.5% female and 55.5% non-Hispanic white (NHW); mean±SD age=17.6±4.5 years, T1D duration=7.8±1.9 years, BMIz=0.61±0.94, and HbA1c=76±21 mmol/mol (9.1±1.9)%. Six weight-glycemia clusters were identified, including four normal weight, one overweight, and one subgroup with obesity. No cluster had a mean HbA1c <58 mmol/mol (7.5%). Cluster 1 (34.0%) was normal weight with the lowest HbA1c and comprised 85% NHW participants with the highest socioeconomic position, insulin pump use, dietary quality, and physical activity. Subgroups with very poor glycemic control (ie, ≥108 mmol/mol (≥12.0%); cluster 4, 4.4%, and cluster 5, 7.5%) and obesity (cluster 6, 15.4%) had a lower proportion of NHW youth, lower socioeconomic position, and reported decreased pump use and poorer health behaviors (overall p<0.01). The overweight subgroup with very poor glycemic control (cluster 5) showed the highest lipids and blood pressure (p<0.01). CONCLUSIONS There are distinct subgroups of youth and young adults with T1D that share weight-glycemia phenotypes. Subgroups may benefit from tailored interventions addressing differences in clinical care, health behaviors, and underlying health inequity.
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Affiliation(s)
- Anna R Kahkoska
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Crystal T Nguyen
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Xiaotong Jiang
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Linda A Adair
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Shivani Agarwal
- Center for Diabetes Translational Research, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Allison E Aiello
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Kyle S Burger
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - John B Buse
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA
- Department of Pediatrics, School of Medicine, University of Colorado, Aurora, Colorado, USA
| | - Lawrence M Dolan
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Giuseppina Imperatore
- Division of Diabetes Translation, Centers of Disease Control and Prevention, Atlanta, Georgia
| | - Jean Marie Lawrence
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, Southern California, USA
| | - Santica Marcovina
- Northwest Lipid Metabolism and Diabetes Research Laboratories, Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Catherine Pihoker
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Beth A Reboussin
- Department of Pediatrics, University of Washington, Seattle, Washington, USA
| | - Katherine A Sauder
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA
- Department of Pediatrics, School of Medicine, University of Colorado, Aurora, Colorado, USA
| | - Michael R Kosorok
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Elizabeth J Mayer-Davis
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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39
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Kahkoska AR, Nguyen CT, Adair LA, Aiello AE, Burger KS, Buse JB, Dabelea D, Dolan LM, Malik FS, Mottl AK, Pihoker C, Reboussin BA, Sauder KA, Kosorok MR, Mayer-Davis EJ. Longitudinal Phenotypes of Type 1 Diabetes in Youth Based on Weight and Glycemia and Their Association With Complications. J Clin Endocrinol Metab 2019; 104:6003-6016. [PMID: 31290977 PMCID: PMC6812733 DOI: 10.1210/jc.2019-00734] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Accepted: 07/03/2019] [Indexed: 12/12/2022]
Abstract
CONTEXT Subclinical and clinical complications emerge early in type 1 diabetes (T1D) and may be associated with obesity and hyperglycemia. OBJECTIVE Test how longitudinal "weight-glycemia" phenotypes increase susceptibility to different patterns of early/subclinical complications among youth with T1D. DESIGN SEARCH for Diabetes in Youth observational study. SETTING Population-based cohort. PARTICIPANTS Youth with T1D (n = 570) diagnosed 2002 to 2006 or 2008. MAIN OUTCOME MEASURES Participants were clustered based on longitudinal body mass index z score and HbA1c from a baseline visit and 5+ year follow-up visit (mean diabetes duration: 1.4 ± 0.4 years and 8.2 ± 1.9 years, respectively). Logistic regression modeling tested cluster associations with seven early/subclinical diabetes complications at follow-up, adjusting for sex, race/ethnicity, age, and duration. RESULTS Four longitudinal weight-glycemia clusters were identified: The Referent Cluster (n = 195, 34.3%), the Hyperglycemia Only Cluster (n = 53, 9.3%), the Elevated Weight Only Cluster (n = 206, 36.1%), and the Elevated Weight With Increasing Hyperglycemia (EWH) Cluster (n = 115, 20.2%). Compared with the Referent Cluster, the Hyperglycemia Only Cluster had elevated odds of dyslipidemia [adjusted odds ratio (aOR) 2.22, 95% CI: 1.15 to 4.29], retinopathy (aOR 9.98, 95% CI: 2.49 to 40.0), and diabetic kidney disease (DKD) (aOR 4.16, 95% CI: 1.37 to 12.62). The EWH Cluster had elevated odds of hypertension (aOR 2.18, 95% CI: 1.19 to 4.00), dyslipidemia (aOR 2.36, 95% CI: 1.41 to 3.95), arterial stiffness (aOR 2.46, 95% CI: 1.09 to 5.53), retinopathy (aOR 5.11, 95% CI: 1.34 to 19.46), and DKD (aOR 3.43, 95% CI: 1.29 to 9.11). CONCLUSIONS Weight-glycemia phenotypes show different patterns of complications, particularly markers of subclinical macrovascular disease, even in the first decade of T1D.
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Affiliation(s)
- Anna R Kahkoska
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Correspondence and Reprint Requests: Anna R. Kahkoska, PhD, or Elizabeth J. Mayer-Davis, PhD, University of North Carolina at Chapel Hill, 245 Rosenau Drive, Chapel Hill, North Carolina 27599. E-mail: or
| | - Crystal T Nguyen
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Linda A Adair
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Allison E Aiello
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Kyle S Burger
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - John B Buse
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado
- Department of Pediatrics, School of Medicine, University of Colorado, Aurora, Colorado
| | - Lawrence M Dolan
- Division of Endocrinology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Faisal S Malik
- Department of Pediatrics, University of Washington, Seattle, Washington
| | - Amy K Mottl
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Catherine Pihoker
- Department of Pediatrics, University of Washington, Seattle, Washington
| | - Beth A Reboussin
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston Salem, North Carolina
| | - Katherine A Sauder
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado
- Department of Pediatrics, School of Medicine, University of Colorado, Aurora, Colorado
| | - Michael R Kosorok
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, North Carolina
| | - Elizabeth J Mayer-Davis
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Correspondence and Reprint Requests: Anna R. Kahkoska, PhD, or Elizabeth J. Mayer-Davis, PhD, University of North Carolina at Chapel Hill, 245 Rosenau Drive, Chapel Hill, North Carolina 27599. E-mail: or
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Merjaneh L, Pihoker C, Divers J, Fino N, Klingensmith G, Shrestha SS, Saydah S, Mayer-Davis EJ, Dabelea D, Powell J, Lawrence JM, Dolan LM, Wright DR. Out of Pocket Diabetes-Related Medical Expenses for Adolescents and Young Adults With Type 1 Diabetes: The SEARCH for Diabetes in Youth Study. Diabetes Care 2019; 42:e172-e174. [PMID: 31530657 PMCID: PMC6804608 DOI: 10.2337/dc19-0577] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Accepted: 07/28/2019] [Indexed: 02/03/2023]
Affiliation(s)
- Lina Merjaneh
- Department of Pediatrics, University of Washington, Seattle, WA
| | | | - Jasmin Divers
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC
| | - Nora Fino
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | | | - Sundar S Shrestha
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Sharon Saydah
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Elizabeth J Mayer-Davis
- Departments of Nutrition and Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Dana Dabelea
- Pediatrics and Epidemiology, University of Colorado Denver, Denver, CO
| | - Jeffrey Powell
- Department of Community Health, Shiprock Service Unit, Navajo Area Indian Health Service, Shiprock, NM
| | - Jean M Lawrence
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Lawrence M Dolan
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Davene R Wright
- Department of Pediatrics, University of Washington, Seattle, WA
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Semova I, Levenson AE, Krawczyk J, Bullock K, Williams KA, Wadwa RP, Shah AS, Khoury PR, Kimball TR, Urbina EM, de Ferranti SD, Bishop FK, Maahs DM, Dolan LM, Clish CB, Biddinger SB. Type 1 diabetes is associated with an increase in cholesterol absorption markers but a decrease in cholesterol synthesis markers in a young adult population. J Clin Lipidol 2019; 13:940-946. [PMID: 31706902 PMCID: PMC6980756 DOI: 10.1016/j.jacl.2019.09.008] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 09/04/2019] [Accepted: 09/17/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND To optimize treatment and prevent cardiovascular disease in subjects with type 1 diabetes, it is important to determine how cholesterol metabolism changes with type 1 diabetes. OBJECTIVE The objective of the study was to compare plasma levels of campesterol and β-sitosterol, markers of cholesterol absorption, as well as lathosterol, a marker of cholesterol synthesis, in youth with and without type 1 diabetes. METHODS Serum samples were obtained from adolescent subjects with type 1 diabetes (n = 175, mean age 15.2 years, mean duration of diabetes 8.2 years) and without diabetes (n = 74, mean age 15.4 years). Campesterol, β-sitosterol, and lathosterol, were measured using targeted liquid chromatography tandem mass spectrometry, compared between groups, and correlated with the available cardiometabolic variables. RESULTS Campesterol and β-sitosterol levels were 30% higher in subjects with type 1 diabetes and positively correlated with hemoglobin A1c levels. In contrast, lathosterol levels were 20% lower in subjects with type 1 diabetes and positively correlated with triglycerides, body mass index, and systolic blood pressure. CONCLUSION Plasma markers suggest that cholesterol absorption is increased, whereas cholesterol synthesis is decreased in adolescent subjects with type 1 diabetes. Further studies to address the impact of these changes on the relative efficacy of cholesterol absorption and synthesis inhibitors in subjects with type 1 diabetes are urgently needed.
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Affiliation(s)
- Ivana Semova
- Division of Endocrinology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Amy E Levenson
- Division of Endocrinology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Joanna Krawczyk
- Division of Endocrinology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kevin Bullock
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kathryn A Williams
- Division of Endocrinology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Biostatistics and Research Design Center, Boston Children's Hospital, Boston, MA, USA
| | - R Paul Wadwa
- Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Amy S Shah
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, OH, USA
| | - Philip R Khoury
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, OH, USA
| | - Thomas R Kimball
- Division of Cardiology, Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, OH, USA
| | - Elaine M Urbina
- Division of Cardiology, Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, OH, USA
| | - Sarah D de Ferranti
- Department of Cardiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Franziska K Bishop
- Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - David M Maahs
- Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Lawrence M Dolan
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, OH, USA
| | - Clary B Clish
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Sudha B Biddinger
- Division of Endocrinology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
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Puett RC, Yanosky JD, Mittleman MA, Montresor-Lopez J, Bell RA, Crume TL, Dabelea D, Dolan LM, D'Agostino RB, Marcovina SM, Pihoker C, Reynolds K, Urbina E, Liese AD. Inflammation and acute traffic-related air pollution exposures among a cohort of youth with type 1 diabetes. Environ Int 2019; 132:105064. [PMID: 31419765 PMCID: PMC7717111 DOI: 10.1016/j.envint.2019.105064] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Revised: 07/25/2019] [Accepted: 07/26/2019] [Indexed: 05/09/2023]
Abstract
BACKGROUND Evidence remains equivocal regarding the association of inflammation, a precursor to cardiovascular disease, and acute exposures to ambient air pollution from traffic-related particulate matter. Though youth with type 1 diabetes are at higher risk for cardiovascular disease, the relationship of inflammation and ambient air pollution exposures in this population has received little attention. OBJECTIVES Using five geographically diverse US sites from the racially- and ethnically-diverse SEARCH for Diabetes in Youth Cohort, we examined the relationship of acute exposures to PM2.5 mass, Atmospheric Dispersion Modeling System (ADMS)-Roads traffic-related PM concentrations near roadways, and elemental carbon (EC) with biomarkers of inflammation including interleukin-6 (IL-6), c-reactive protein (hs-CRP) and fibrinogen. METHODS Baseline questionnaires and blood were obtained at a study visit. Using a spatio-temporal modeling approach, pollutant exposures for 7 days prior to blood draw were assigned to residential addresses. Linear mixed models for each outcome and exposure were adjusted for demographic and lifestyle factors identified a priori. RESULTS Among the 2566 participants with complete data, fully-adjusted models showed positive associations of EC average week exposures with IL-6 and hs-CRP, and PM2.5 mass exposures on lag day 3 with IL-6 levels. Comparing the 25th and 75th percentiles of average week EC exposures resulted in 8.3% higher IL-6 (95%CI: 2.7%,14.3%) and 9.8% higher hs-CRP (95%CI: 2.4%,17.7%). We observed some evidence of effect modification for the relationships of PM2.5 mass exposures with hs-CRP by gender and with IL-6 by race/ethnicity. CONCLUSIONS Indicators of inflammation were associated with estimated traffic-related air pollutant exposures in this study population of youth with type 1 diabetes. Thus youth with type 1 diabetes may be at increased risk of air pollution-related inflammation. These findings and the racial/ethnic and gender differences observed deserve further exploration.
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Affiliation(s)
- Robin C Puett
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA.
| | - Jeff D Yanosky
- Division of Epidemiology, Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Murray A Mittleman
- Department of Epidemiology, TH Chan Harvard School of Public Health, Boston, MA, USA
| | - Jessica Montresor-Lopez
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Ronny A Bell
- Department of Public Health, Brody School of Medicine, East Carolina University, Greenville, NC 27834, USA
| | - Tessa L Crume
- Department of Epidemiology, Colorado School of Public Health, University of Colorado-Denver Anschutz Medical Center, Denver, CO, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado-Denver Anschutz Medical Center, Denver, CO, USA
| | - Lawrence M Dolan
- Division of Pediatric Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Ralph B D'Agostino
- Department of Biostatistical Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Santica M Marcovina
- Division of Metabolism, Endocrinology and Nutrition, Northwest Lipid Metabolism and Diabetes Research Laboratories, Seattle, WA, USA
| | | | - Kristi Reynolds
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Elaine Urbina
- Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Angela D Liese
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
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Gourgari E, Stafford JM, D'Agostino Jr R, Dolan LM, Lawrence JM, Mottl A, Pihoker C, Urbina EM, Wadwa RP, Dabelea D. Association of metformin and statin medications with surrogate measures of cardiovascular disease in youth with type 1 diabetes: the SEARCH for diabetes in youth study. Ann Pediatr Endocrinol Metab 2019; 24:187-194. [PMID: 31607112 PMCID: PMC6790871 DOI: 10.6065/apem.2019.24.3.187] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Accepted: 06/04/2019] [Indexed: 01/16/2023] Open
Abstract
PURPOSE Youth with type 1 diabetes mellitus (T1DM) are at risk of cardiovascular disease (CVD). We evaluated if metformin or statin use was associated with surrogate measures of improved CVD. METHODS We included participants from the SEARCH observational study. Participants treated with insulin plus metformin (n=42) or insulin plus statin (n=39) were matched with 84 and 78 participants, respectively, treated with insulin alone. Measures of arterial stiffness obtained were pulse wave velocity (PWV), augmentation index (AI75), and heart rate variability as standard deviation of the normal-to-normal interval (SDNN) and root mean square differences of successive NN intervals (RMSSD). RESULTS CVD measures were not significantly different among participants on insulin plus metformin versus those on insulin alone: PWV (5.9±1.0 m/sec vs. 5.8±1.5 m/sec, P=0.730), AI75 (1.8 [-6.0 to 8.0] vs. -2.4 [-10.7 to 3.8], P=0.157), SDNN (52.4 [36.8-71.1] m/sec vs. 51.8 [40.1-74.9] m/sec, P=0.592), and RMSSD (43.2 [29.4-67.6] vs. 47.4 [28.0-76.3], P=0.952). CVD measures were not different for statin users versus nonusers: PWV (5.7±0.8 m/sec vs. 5.9 ±1.1 m/sec, P=0.184), AI75 ( -4.0 [-9.5 to 1.7] vs. -6.7 [-11.3 to 5.7], P=0.998), SDNN (54.6 [43.5-77.2] m/sec vs. 63.1 [44.2-86.6] m/sec, P=0.369), and RMSSD (49.5 [31.2-74.8] vs. 59.2 [38.3-86.3], P=0.430). CONCLUSION We found no associations of statin or metformin use with surrogate measures of CVD. Future prospective pediatric clinical trials could address this issue.
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Affiliation(s)
- Evgenia Gourgari
- Division of Pediatric Endocrinology, Department of Pediatrics, Georgetown University, Washington, DC, USA,Section on Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD), National Institutes of Health, Bethesda, MD, USA,Address for correspondence: Evgenia Gourgari, MD Division of Pediatric Endocrinology, MedStar Georgetown University Hospital, 4200 Wisconsin Avenue, N.W, 4th Floor, Washington, D.C. 20016, USA Tel: +1-202-243-3560 Fax: +1-877-680-5507 E-mail:
| | - Jeanette M. Stafford
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Ralph D'Agostino Jr
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Lawrence M. Dolan
- Department of Pediatrics, Cincinnati Children's Hospital and the University of Cincinnati, Cincinnati, OH, USA
| | - Jean M. Lawrence
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Amy Mottl
- UNC Division of Nephrology and Hypertension, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Catherine Pihoker
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Elaine M. Urbina
- Cincinnati Children's Hospital Medical Center & University of Cincinnati, Cincinnati, OH, USA
| | - R. Paul Wadwa
- Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, CO, USA
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Urbina EM, Isom S, Bell RA, Bowlby DA, D'Agostino R, Daniels SR, Dolan LM, Imperatore G, Marcovina SM, Merchant AT, Reynolds K, Shah AS, Wadwa RP, Dabelea D. Burden of Cardiovascular Risk Factors Over Time and Arterial Stiffness in Youth With Type 1 Diabetes Mellitus: The SEARCH for Diabetes in Youth Study. J Am Heart Assoc 2019; 8:e010150. [PMID: 31213111 PMCID: PMC6662363 DOI: 10.1161/jaha.118.010150] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background The incidence of type 1 diabetes mellitus (T1DM) in children is increasing, resulting in higher burden of cardiovascular diseases due to diabetes mellitus-related vascular dysfunction. Methods and Results We examined cardiovascular risk factors ( CVRF s) and arterial parameters in 1809 youth with T1DM. Demographics, anthropometrics, blood pressure, and laboratory data were collected at T1DM onset and 5 years later. Pulse wave velocity and augmentation index were collected with tonometry. ANOVA or chi-square tests were used to test for differences in measures of arterial parameters by CVRF . Area under the curve of CVRF s was entered in general linear models to explore determinants of accelerate vascular aging. Participants at the time of arterial measurement were 17.6±4.5 years old, 50% female, 76% non-Hispanic white, and duration of T1DM was 7.8±1.9 years. Glycemic control was poor (glycated hemoglobin, 9.1±1.8%). All arterial parameters were higher in participants with glycated hemoglobin ≥9% and pulse wave velocity was higher with lower insulin sensitivity or longer duration of diabetes mellitus. Differences in arterial parameters were found by sex, age, and presence of obesity, hypertension, or dyslipidemia. In multivariable models, higher glycated hemoglobin, lower insulin sensitivity, body mass index, blood pressure, and lipid areas under the curve were associated with accelerated vascular aging. Conclusions In young people with T1DM, persistent poor glycemic control and higher levels of traditional CVRF s are independently associated with arterial aging. Improving glycemic control and interventions to lower CVRF s may prevent future cardiovascular events in young individuals with T1DM.
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Affiliation(s)
- Elaine M Urbina
- 1 Heart Institute Cincinnati Children's Hospital & University of Cincinnati OH
| | - Scott Isom
- 3 Department of Biostatistical Sciences Wake Forest School of Medicine Winston-Salem NC
| | - Ronny A Bell
- 4 Department of Public Health East Carolina University Greenville NC
| | - Deborah A Bowlby
- 5 Division of Pediatric Endocrinology & Diabetes Medical University of South Carolina Charleston SC USA
| | - Ralph D'Agostino
- 3 Department of Biostatistical Sciences Wake Forest School of Medicine Winston-Salem NC
| | - Stephen R Daniels
- 6 Department of Pediatrics University of Colorado School of Medicine Aurora CO
| | - Lawrence M Dolan
- 2 Department of Endocrinology Cincinnati Children's Hospital & University of Cincinnati OH
| | - Giuseppina Imperatore
- 8 Division of Diabetes Translation Centers for Disease Control and Prevention Atlanta GA
| | - Santica M Marcovina
- 9 Northwest Lipid Metabolism and Diabetes Research Laboratory University of Washington Seattle WA
| | - Anwar T Merchant
- 5 Division of Pediatric Endocrinology & Diabetes Medical University of South Carolina Charleston SC USA.,10 Department of Epidemiology and Biostatistics University of South Carolina Columbia SC USA
| | - Kristi Reynolds
- 11 Department of Research & Evaluation Kaiser Permanente Southern California Pasadena CA
| | - Amy S Shah
- 2 Department of Endocrinology Cincinnati Children's Hospital & University of Cincinnati OH
| | - R Paul Wadwa
- 7 Barbara Davis Center for Childhood Diabetes University of Colorado School of Medicine Aurora CO
| | - Dana Dabelea
- 12 Department of Epidemiology Colorado School of Public Health Aurora CO
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Abstract
PURPOSE OF REVIEW This review describes the literature evaluating the potential adverse effects of youth-onset type 2 diabetes on the developing brain. A summary of recently published articles and the current state of knowledge are covered succinctly in this manuscript. RECENT FINDINGS Current literature suggests both cognitive and brain structural differences are found in youth with type 2 diabetes. Studies have shown poorer scores in a number of neurocognitive domains, particularly in areas of executive functioning and memory. Additionally, imaging studies have found differences in brain gray matter volume, white matter volume, and microstructural integrity. These findings are largely consistent with the adult literature. Youth with type 2 diabetes demonstrate lower cognitive scores and structural brain differences. Although causality has not yet been established, these findings are important because these individuals are still undergoing neurodevelopmental maturation.
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Affiliation(s)
- Jacob M Redel
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave. MLC 7012, Cincinnati, OH, 45229, USA.
| | - Lawrence M Dolan
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave. MLC 7012, Cincinnati, OH, 45229, USA
| | - Mark DiFrancesco
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH, 45229, USA
| | - Jennifer Vannest
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH, 45229, USA
- Division of Neurology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH, 45229, USA
| | - Amy S Shah
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave. MLC 7012, Cincinnati, OH, 45229, USA
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Sauder KA, Stafford JM, Mayer-Davis EJ, Jensen ET, Saydah S, Mottl A, Dolan LM, Hamman RF, Lawrence JM, Pihoker C, Marcovina S, D'Agostino RB, Dabelea D. Co-occurrence of early diabetes-related complications in adolescents and young adults with type 1 diabetes: an observational cohort study. Lancet Child Adolesc Health 2018; 3:35-43. [PMID: 30409691 DOI: 10.1016/s2352-4642(18)30309-2] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Revised: 09/14/2018] [Accepted: 09/17/2018] [Indexed: 12/22/2022]
Abstract
BACKGROUND One in three adolescents and young adults with type 1 diabetes have at least one early diabetes-related complication or comorbidity. We aimed to examine the prevalence and pattern of co-occurring complications in this population, as well as the related risk factors. METHODS This observational cohort study includes data from individuals diagnosed with type 1 diabetes before age 20 years who participated in the SEARCH for Diabetes in Youth Study across five sites in the USA. We assessed sociodemographic and metabolic risk factors at baseline and at follow-up, and diabetes complications at follow-up. A frequency analysis was done to examine the difference in observed versus expected prevalence (calculated using a contingency table assuming independence across cells) of co-occurring complications or comorbidities. A cluster analysis was done to identify unique clusters of participants based on demographic characteristics and metabolic risk factors. FINDINGS 1327 participants who completed the follow-up visit were included in the frequency analysis. The mean age was 10·1 (SD 3·9) years at the time of type 1 diabetes diagnosis and 18·0 (4·1) years at follow-up. At a mean diabetes duration of 7·8 [SD 1·9] years, co-occurrence of any two or more complications was observed in 78 (5·9%) participants, more frequently than expected by chance alone (58 [4·4%], p=0·015). Specifically, the complications that co-occurred more frequently than expected were retinopathy and diabetic kidney disease (11 [0·8%] vs three [0·2%]; p=0·0007), retinopathy and arterial stiffness (13 [1·0%] vs four [0·3%]; p=0·0016), and arterial stiffness and cardiovascular autonomic neuropathy (24 [1·8%] vs 13 [1·0%]; p=0·015). We identified four unique clusters characterised by progressively worsening metabolic risk factor profiles (longer duration of diabetes and higher glycated haemoglobin, non-HDL cholesterol, and waist-to-height ratio). The prevalence of at least two complications increased across the clusters (six [2·3%] of 261 in the low-risk cluster, 32 [6·3%] of 509 in the moderate-risk cluster, 28 [8%] of 348 in the high-risk cluster, and five [20·8%] of 24 in the highest-risk cluster). Compared with the low-risk and moderate-risk clusters, the high-risk and highest-risk clusters were characterised by a lower proportion of participants who were non-Hispanic white, and a higher proportion of participants who had a household income below US$50 000 and did not have private health insurance. INTERPRETATION Early complications co-occur in adolescents and young adults with type 1 diabetes more frequently than expected. Identification of individuals with adverse risk factors could enable targeted behavioural or medical interventions that reduce the likelihood of early development of lifelong diabetes-related morbidity. FUNDING US Centers for Disease Control and Prevention, US National Institutes of Health.
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Affiliation(s)
- Katherine A Sauder
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA.
| | - Jeanette M Stafford
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | | | - Elizabeth T Jensen
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Sharon Saydah
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Amy Mottl
- Division of Nephrology and Hypertension, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Lawrence M Dolan
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Richard F Hamman
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Jean M Lawrence
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Catherine Pihoker
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Santica Marcovina
- Northwest Lipid Research Laboratory, University of Washington, Seattle, WA, USA
| | - Ralph B D'Agostino
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Dana Dabelea
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA; Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
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47
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Alman AC, Talton JW, Wadwa RP, Urbina EM, Dolan LM, Hamman RF, D'Agostino RB, Marcovina SM, Dabelea DM. Inflammation, adiposity, and progression of arterial stiffness in adolescents with type 1 diabetes: The SEARCH CVD Study. J Diabetes Complications 2018; 32:995-999. [PMID: 30209019 PMCID: PMC6174105 DOI: 10.1016/j.jdiacomp.2018.08.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Revised: 12/28/2017] [Accepted: 08/06/2018] [Indexed: 11/30/2022]
Abstract
AIMS We examined the association between inflammation and progression of arterial stiffness in a population of youth with type 1 diabetes (T1D). METHODS A total of 287 youth with T1D (median age 13 years) from SEARCH CVD, an ancillary study to the SEARCH for Diabetes in Youth, were included. Markers of inflammation (CRP, IL-6, fibrinogen, leptin, and adiponectin) and measures of pulse wave velocity (PWV) of the arm (PWV-R), trunk (PWV-T), and lower extremity (PWV-LE) were measured at baseline. Measures of PWV were repeated approximately five years later. RESULTS PWV-R (0.50 m/s), PWV-T (0.65 m/s), and PWV-LE (1.0 m/s) significantly increased over the follow-up (p < 0.001 for each). A significant interaction was found between waist circumference and fibrinogen (p = 0.036) on the progression of PWV-T, suggesting that fibrinogen is more strongly associated with PWV progression in lean participants. CONCLUSIONS Improved understanding of adiposity, inflammation, and functional changes in the vascular system in patients with T1D is crucial.
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Affiliation(s)
- Amy C Alman
- Department of Epidemiology and Biostatistics, College of Public Health, University of South Florida, USA.
| | - Jennifer W Talton
- Department of Biostatistical Sciences, Wake Forest School of Medicine, USA
| | - R Paul Wadwa
- Barbara Davis Center, University of Colorado Denver, USA
| | - Elaine M Urbina
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, USA
| | - Lawrence M Dolan
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, USA
| | - Richard F Hamman
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, USA
| | - Ralph B D'Agostino
- Department of Biostatistical Sciences, Wake Forest School of Medicine, USA
| | - Santica M Marcovina
- Department of Metabolism, Endocrinology and Nutrition, University of Washington, USA
| | - Dana M Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, USA
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Abstract
BACKGROUND AND OBJECTIVES New pediatric hypertension definitions were recently published in a clinical practice guideline (CPG). We evaluated the impact of the CPG, compared with the previous guideline ("Fourth Report on the Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents"), on the prevalence of hypertension and associations with target organ damage (TOD) in high-risk youth. METHODS Participants (10-18 years old) undergoing an evaluation of the cardiovascular effects of obesity and type 2 diabetes mellitus in youth were studied. Blood pressure was categorized according to the 2 guidelines as normal, elevated, and hypertension (stages 1 and 2). Measures of TOD (carotid artery intima-media thickness, pulse wave velocity, left ventricular mass, and diastolic function) were obtained. Associations between blood pressure categories and TOD and the sensitivity of hypertension classification in identifying TOD were evaluated. RESULTS Data were available for 364 participants (65% female sex; 15.1 ± 2.1 years of age). Hypertension was identified in 8% and 13% as defined in the Fourth Report and CPG, respectively (P = .007). The 2 guidelines revealed similar associations with TOD; however, the CPG demonstrated improved sensitivity of TOD detection in hypertensive participants. For example, the proportion of participants with an abnormal left ventricular mass categorized as hypertensive increased from 20% to 31% as defined in the Fourth Report and CPG, respectively (P < .001). CONCLUSIONS Incorporation of the CPG increased the prevalence of pediatric hypertension in a population of high-risk youth and improved the sensitivity of TOD identification in hypertensive participants.
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Affiliation(s)
- Michael Khoury
- Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Philip R Khoury
- Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Lawrence M Dolan
- Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Thomas R Kimball
- Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Elaine M Urbina
- Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
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Jaiswal M, Divers J, Urbina EM, Dabelea D, Bell RA, Pettitt DJ, Imperatore G, Pihoker C, Dolan LM, Liese AD, Marcovina S, Linder B, Feldman EL, Pop-Busui R. Cardiovascular autonomic neuropathy in adolescents and young adults with type 1 and type 2 diabetes: The SEARCH for Diabetes in Youth Cohort Study. Pediatr Diabetes 2018; 19:680-689. [PMID: 29292558 PMCID: PMC5938122 DOI: 10.1111/pedi.12633] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2017] [Revised: 10/26/2017] [Accepted: 12/07/2017] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE To estimate the prevalence of and risk factors for cardiovascular autonomic neuropathy (CAN) in adolescents and young adults with type 1 and type 2 diabetes enrolled in the SEARCH for Diabetes in Youth Study. METHODS The study included 1646 subjects with type 1 diabetes (age 18 ± 4 years, diabetes duration 8 ± 2 years, HbA1c 9.1 ± 1.9%, 76% non-Hispanic Whites) and 252 with type 2 diabetes (age 22 ± 4 years, diabetes duration 8 ± 2 years, HbA1c 9.2 ± 3.0%, 45% non-Hispanic Blacks). Cross-sectional and longitudinal risk factors were assessed at baseline and follow-up visits. Area under the curve (AUC) was used to assess the longitudinal glycemic exposure and cardiovascular risk factors. CAN was assessed by time and frequency domain indices of heart rate variability (HRV). CAN was defined as the presence of ≥3 of 5 abnormal HRV indices. RESULTS The prevalence of CAN was 12% in adolescents and young adults with type 1 diabetes and 17% in those with type 2 diabetes. Poor long-term glycemic control (AUC HbA1c), high blood pressure, and elevated triglyceride levels were correlates of CAN in subjects with type 1 diabetes. In those with type 2 diabetes, CAN was associated with elevated triglycerides and increased urinary albumin excretion. CONCLUSIONS The prevalence of CAN in this multiethnic cohort of adolescents and young adults with type 1 and type 2 diabetes are comparable to those reported in adults with diabetes. Suboptimal glycemic control and elevated triglycerides were the modifiable risk factors associated with CAN.
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Affiliation(s)
- Mamta Jaiswal
- Department of Neurology, University of Michigan, Ann Arbor, Michigan
| | - Jasmin Divers
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Elaine M. Urbina
- Preventive Cardiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado
| | - Ronny A. Bell
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | | | - Giuseppina Imperatore
- Division of Diabetes Translation, Centers of Disease Control and Prevention, Atlanta, Georgia
| | - Catherine Pihoker
- Department of Pediatrics, University of Washington, Seattle Washington
| | - Lawrence M. Dolan
- Division of Endocrinology, Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Angela D. Liese
- Department of Epidemiology and Biostatistics and Center for Research in Nutrition and Health Disparities, Arnold School of Public Health, University of South Carolina, South Carolina
| | - Santica Marcovina
- Northwest Lipid Research Laboratory, University of Washington, Seattle, Washington
| | - Barbara Linder
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland
| | - Eva L. Feldman
- Department of Neurology, University of Michigan, Ann Arbor, Michigan
| | - Rodica Pop-Busui
- Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
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Inge TH, Laffel LM, Jenkins TM, Marcus MD, Leibel NI, Brandt ML, Haymond M, Urbina EM, Dolan LM, Zeitler PS. Comparison of Surgical and Medical Therapy for Type 2 Diabetes in Severely Obese Adolescents. JAMA Pediatr 2018; 172. [PMID: 29532078 PMCID: PMC5875354 DOI: 10.1001/jamapediatrics.2017.5763] [Citation(s) in RCA: 110] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
IMPORTANCE Because of the substantial increase in the occurrence of type 2 diabetes in the pediatric population and the medical complications of this condition, therapies are urgently needed that will achieve better glycemic control than standard medical management. OBJECTIVE To compare glycemic control in cohorts of severely obese adolescents with type 2 diabetes undergoing medical and surgical interventions. DESIGN, SETTING, AND PARTICIPANTS A secondary analysis of data collected by the Teen-Longitudinal Assessment of Bariatric Surgery (Teen-LABS) and Treatment Options of Type 2 Diabetes in Adolescents and Youth (TODAY) consortia was performed. Teen-LABS enrolled 242 adolescents (≤19 years of age) from March 1, 2007, through December 31, 2011. TODAY randomized 699 participants (aged 10-17 years) from July 24, 2004, through February 25, 2009. Data analysis was performed from July 6, 2015, to June 24, 2017. Anthropometric, clinical, and laboratory data from adolescents with severe obesity and type 2 diabetes who underwent treatment with metabolic or bariatric surgery in the Teen-LABS study or medical therapy in the TODAY study were compared. INTERVENTIONS Teen-LABS participants underwent a primary bariatric surgical procedure; TODAY participants were randomized to receive metformin therapy alone or in combination with rosiglitazone or an intensive lifestyle intervention; insulin therapy was given in cases of progression of disease. MAIN OUTCOMES AND MEASURES Glycemic control, body mass index, prevalence of elevated blood pressure, dyslipidemia, abnormal kidney function, and clinical adverse events were measured. RESULTS Data from 30 participants from Teen-LABS (mean [SD] age at baseline, 16.9 [1.3] years; 21 [70%] female; 18 [66%] white) and 63 from TODAY (mean [SD] age at baseline, 15.3 [1.3] years; 28 [44%] female; 45 [71%] white) were analyzed. During 2 years, mean hemoglobin A1c concentration decreased from 6.8% (95% CI, 6.4%-7.3%) to 5.5% (95% CI, 4.7% -6.3%) in Teen-LABS and increased from 6.4% (95% CI, 6.1%-6.7%) to 7.8% (95% CI, 7.2%-8.3%) in TODAY. Compared with baseline, the body mass index decreased by 29% (95% CI, 24%-34%) in Teen-LABS and increased by 3.7% (95% CI, 0.8%-6.7%) in TODAY. Twenty-three percent of Teen-LABS participants required a subsequent operation during the 2-year follow-up. CONCLUSIONS AND RELEVANCE Compared with medical therapy, surgical treatment of severely obese adolescents with type 2 diabetes was associated with better glycemic control, reduced weight, and improvement of other comorbidities. These data support the need for a well-designed, prospective controlled study to define the role of surgery for adolescents with type 2 diabetes, including health and surgical outcomes.
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Affiliation(s)
- Thomas H. Inge
- Department of Pediatric Surgery, Children’s Hospital Colorado, University of Colorado, Denver, Aurora
| | - Lori M. Laffel
- Department of Pediatrics, Joslin Diabetes Center, Boston, Massachusetts
| | - Todd M. Jenkins
- Department of Pediatrics and Surgery, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio
| | - Marsha D. Marcus
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | | | - Mary L. Brandt
- Michael E. Debakey Department of Surgery, Texas Children’s Hospital, Baylor College of Medicine, Houston,Department of Pediatrics, Texas Children’s Hospital, Baylor College of Medicine, Houston
| | - Morey Haymond
- Michael E. Debakey Department of Surgery, Texas Children’s Hospital, Baylor College of Medicine, Houston,Department of Pediatrics, Texas Children’s Hospital, Baylor College of Medicine, Houston
| | - Elaine M. Urbina
- Department of Pediatrics and Surgery, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio
| | - Lawrence M. Dolan
- Department of Pediatrics and Surgery, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio
| | - Philip S. Zeitler
- Department of Pediatrics, Children’s Hospital Colorado, University of Colorado, Denver, Aurora
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