Diabetes Spectrum最新文献

{"title":"Novel Pharmacy Model: Pharmacy Diabetes Clinic in Abdominal Transplant Recipients","authors":"Helen Sweiss, Reed Hall, Suverta Bhayana, Rupal Patel, Marcus Flores, Christina Long","doi":"10.2337/ds23-0025","DOIUrl":"https://doi.org/10.2337/ds23-0025","url":null,"abstract":"","PeriodicalId":39737,"journal":{"name":"Diabetes Spectrum","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139214747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What Do Adolescents With Type 1 Diabetes Need to Thrive: Perspective of a 16-Year-Old With 4 Years of Experience Living With Type 1 Diabetes","authors":"Nathan J. Bekelman","doi":"10.2337/ds23-0024","DOIUrl":"https://doi.org/10.2337/ds23-0024","url":null,"abstract":"","PeriodicalId":39737,"journal":{"name":"Diabetes Spectrum","volume":"7 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139270511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"About Richard M. Bergenstal: Guest Editor","authors":"","doi":"10.2337/ds23-ge04","DOIUrl":"https://doi.org/10.2337/ds23-ge04","url":null,"abstract":"","PeriodicalId":39737,"journal":{"name":"Diabetes Spectrum","volume":"55 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135764836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electronic Health Interventions for Type 2 Diabetes and Obesity in Hispanic or Latino Adults: A Systematic Review of English and Spanish Studies","authors":"Elizabeth Lorenzo, Alicia Lynn O’Neal, Lisbeth Cantu Garcia, Kenny Mendoza, Rebecca E. Lee","doi":"10.2337/ds22-0083","DOIUrl":"https://doi.org/10.2337/ds22-0083","url":null,"abstract":"Objective The objective of this study was to synthesize English and Spanish literature to determine whether electronic health interventions (EHIs) such as telehealth, telemedicine, digital health, and mobile health (mHealth) improve A1C, blood glucose, BMI, and/or weight among Hispanic/Latino adults with type 2 diabetes or overweight/obesity in the Americas. Design and methods Searches were conducted in June 2021 using the Scientific Electronic Library Online, Cumulative Index of Nursing and Allied Health Literature, PubMed, and PsycInfo literature databases. Studies were identified that investigated the effect of an EHI on A1C, blood glucose, BMI, or weight in populations that were ≥12% Hispanic/Latino adults with type 2 diabetes or overweight/obesity, were conducted in the Americas, and were published in English or Spanish. Study quality was determined using the Quality Index Score. Data were extracted and synthesized, and themes were identified. Results Twenty-five studies met inclusion criteria, including 23 in English (from the United States) and two in Spanish (from Chile). A total of 22 investigated type 2 diabetes, and three investigated overweight/obesity. The studies encompassed 6,230 participants, including 3,413 Hispanic/Latino adults. Sixty-three percent of studies demonstrated significant improvements in A1C or blood glucose and 67% in weight. Thirteen studies offered an EHI in both English and Spanish, six offered the intervention in either English or Spanish alone. All EHIs involving mHealth exclusively and most (90%) involving more than one electronic modality demonstrated a higher number of significant findings compared with those having only one EHI modality, especially telehealth (44.4%). EHIs lasting ≤12 months had more significant findings (72.7%) than those lasting >12 months (50%). Six studies had industry-related funding, with 83.3% of those demonstrating significant improvements in outcomes. Conclusion EHIs improved A1C and weight in adults (n = 4,355), including 45.5% Hispanic/Latino adults. mHealth and EHIs using more than one electronic modality and those lasting ≤12 months were especially effective. However, overall study quality was modest. Future research should be conducted in Spanish-speaking countries in Latin America and should compare the effectiveness of different EHI modalities.","PeriodicalId":39737,"journal":{"name":"Diabetes Spectrum","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136113826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Frequency and Causes of Nocturnal Alarms in Youth and Young Adults With Type 1 Diabetes Using a First-Generation Hybrid Closed-Loop System","authors":"Erin C. Cobry, Tim Vigers, Cari Berget, Laurel H. Messer, R. Paul Wadwa, Laura Pyle, Gregory P. Forlenza","doi":"10.2337/ds23-0003","DOIUrl":"https://doi.org/10.2337/ds23-0003","url":null,"abstract":"Background Meeting glycemic recommendations is challenging for youth with type 1 diabetes. Diabetes technology, including continuous glucose monitoring (CGM) and hybrid closed-loop (HCL) automated insulin delivery systems, significantly increase achievement of glycemic targets; however, many youth struggle to sustain use of early HCL systems. Nocturnal alarm fatigue contributes to disrupted sleep and device discontinuation. Methods We examined the frequency and causes of nocturnal (10:00 p.m. to 6:00 a.m.) alarms in pediatric patients (N = 76, median age 14.5 years [interquartile range 11.8–17.0 years, range 7–24 years]) starting on a first-generation HCL system in a prospective observational study. Device data were analyzed with linear mixed effects models to examine change across time at 3-month intervals for 12 months. Results At baseline (HCL system in nonautomated mode), participants averaged 3.3 ± 0.6 alarms per night. In the 2 weeks after starting HCL (automated) mode, alarm frequency significantly increased to 5.4 ± 0.5 time per night (P <0.001). Alarm frequency decreased through the remainder of the observational period; however, CGM sensor and HCL system use also declined. The types of alarms were evenly distributed among sensor maintenance, sensor threshold, pump, and HCL-specific alarms. Conclusion These data show that HCL system nocturnal alarms are frequent and may be barriers to sleep quality and device use. Further research is needed to assess the impact of diabetes technology on sleep and to determine method to improve sleep quality with technology use.","PeriodicalId":39737,"journal":{"name":"Diabetes Spectrum","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135059470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association Between Health Insurance Type and Adverse Outcomes for Children and Young Adults With Type 1 Diabetes and Coronavirus Disease 2019","authors":"Brian Miyazaki, Osagie Ebekozien, Saketh Rompicherla, Amy Ohmer, Ines Guttman-Bauman, Andrea Mucci, Alissa Guarneri, Vandana Raman, Allison Smego, Jane K. Dickinson","doi":"10.2337/ds23-0002","DOIUrl":"https://doi.org/10.2337/ds23-0002","url":null,"abstract":"Background Health insurance coverage type differs significantly by socioeconomic status and racial group in the United States. The aim of this study was to determine whether publicly insured children and young adults with type 1 diabetes were more likely to experience adverse outcomes compared with privately insured patients with acute coronavirus disease 2019 (COVID-19) infections. Methods Data from 619 patients with previously established type 1 diabetes who were <24 years of age with acute COVID-19 infections were analyzed from the T1D Exchange COVID-19 surveillance registry. Data for the registry was collected from 52 endocrinology clinics across the United States using an online survey tool. Each site completed the survey using electronic health record data between April 2020 and December 2021. Results Of the 619 patients included in this study, 257 had public insurance, and 362 had private insurance. Of the 257 publicly insured patients with COVID-19, 57 reported severe adverse outcomes (22%), defined as diabetic ketoacidosis (DKA) or severe hypoglycemia. In comparison, there were 25 reported adverse outcomes (7%) among the 362 privately insured patients. Conclusion Our data reveal high rates of hospitalization and DKA among publicly insured racial/ethnic minority children and young adults with type 1 diabetes and COVID-19.","PeriodicalId":39737,"journal":{"name":"Diabetes Spectrum","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135059471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Romantic Relationships Among Emerging Adults With and Without Type 1 Diabetes","authors":"Vicki S. Helgeson","doi":"10.2337/ds23-0026","DOIUrl":"https://doi.org/10.2337/ds23-0026","url":null,"abstract":"We compared the romantic relationships of emerging adults with type 1 diabetes to those without type 1 diabetes. We examined whether there were group differences in romantic relationships and relationship quality and whether aspects of romantic relationships were connected to psychological and diabetes health. Emerging adults (mean age 27 years) with (n = 88) and without (n = 99) type 1 diabetes took part in the study. Participants completed an online questionnaire that assessed romantic relationships, psychological health, and diabetes health. Results showed that males with type 1 diabetes were significantly less likely than males without diabetes and either group of females to be involved in a romantic relationship. Among those in a relationship, there were no group differences in relationship quality. For both groups, being in a relationship was associated with less loneliness and greater life satisfaction. Among those in a romantic relationship, the quality of the relationship was more strongly related to psychological outcomes for those with than for those without diabetes. There was modest evidence that relationship quality was linked to better diabetes outcomes. When partner supportive and unsupportive diabetes interactions were examined, there was more evidence that unsupportive interactions were harmful (i.e., related to worse psychological and diabetes outcomes) than there was evidence that supportive interactions were beneficial. These findings underscore the importance of romantic relationships for health among emerging adults in general and suggest that there may be an even greater impact for those with type 1 diabetes.","PeriodicalId":39737,"journal":{"name":"Diabetes Spectrum","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135150091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Demographic Variables Associated With Diabetes Technology Awareness or Use in Adults With Type 2 Diabetes","authors":"Yuting Ye, Bernardo A. Acevedo Mendez, Stephanie Izard, Alyson K. Myers","doi":"10.2337/ds23-0013","DOIUrl":"https://doi.org/10.2337/ds23-0013","url":null,"abstract":"Background Studies in populations with type 1 diabetes highlight racial/ethnic disparities in the use of diabetes technology; however, little is known about disparities among those with type 2 diabetes. This project investigates the racial/ethnic and socioeconomic disparities in diabetes technology awareness and use in adults with type 2 diabetes in the ambulatory setting. Methods Adults ≥40 years of age with type 2 diabetes in ambulatory care were invited to participate via an e-mail link to a de-identified REDCap (Research Electronic Data Capture) questionnaire. Variables, including awareness and use of continuous glucose monitoring (CGM) and insulin pumps, were summarized descriptively using frequencies and percentages and were compared across racial/ethnic groups, education level, and income using Pearson χ2 or Fisher exact tests. Results The study included 116 participants, most of whom (62%) were White, elderly Medicare recipients. Compared with White participants, those of racially/ethnically minoritized groups were less likely to be aware of CGM (P = 0.013) or insulin pumps (P = 0.001). Participants with a high school education or less were also less likely to be aware of insulin pumps (P = 0.041). Interestingly, neither awareness nor use of CGM or insulin pumps was found to be associated with income. Conclusion This cross-sectional analysis suggests that racially/ethnically minoritized groups and individuals with lower education have less awareness of CGM or insulin pumps.","PeriodicalId":39737,"journal":{"name":"Diabetes Spectrum","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135826973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ethnicity Affects A1C Levels in Patients With Diagnosed Type 2 Diabetes in Southern Israel","authors":"Yulia Treister-Goltzman, Idit F. Liberty, Roni Peleg","doi":"10.2337/ds23-0009","DOIUrl":"https://doi.org/10.2337/ds23-0009","url":null,"abstract":"Purpose To assess whether ethnicity affects the association between A1C and fasting glucose in people with type 2 diabetes. Methods An epidemiological, cross-sectional study based on computerized medical records of the Southern District of Clalit Health Services. The study population comprised patients ≥40 years of age with type 2 diabetes who underwent blood tests between 8 August 2015 and 20 July 2020. A normal-error multiple linear regression model was used to assess differences in associations among ethnic groups (i.e., Arabs, Ethiopian Jews, and non-Ethiopian Jews) and A1C. Results A total of 59,432 patients with type 2 diabetes were included in the study. Of these, 1,804 were Jews of Ethiopian origin, 49,296 were non-Ethiopian Jews, and 8,332 were Arabs. Compared with non-Ethiopian Jews, A1C levels were increased by 0.1% (1 mmol/mol) among Ethiopian Jews and by 0.3% (3 mmol/mol) among Arabs. Ethnicity was a strong predictor of A1C, explaining 0.6% of its variance. An A1C level of 7% (53 mmol/mol) correlated with fasting glucose levels of 141, 136, and 126 mg/dL in non-Ethiopian Jews, Ethiopian Jews, and Arabs, respectively. Conclusion Ethnic differences in A1C should be considered by clinicians, researchers, and policymakers.","PeriodicalId":39737,"journal":{"name":"Diabetes Spectrum","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135826970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Scoping Review of the Relation Between Toothbrushing and Diabetes Knowledge, Glycemic Control, and Oral Health Outcomes in People With Type 2 Diabetes","authors":"Ruth D. Lipman, Kelly K. O’Brien, Joan K. Bardsley, Michelle F. Magee","doi":"10.2337/ds22-0089","DOIUrl":"https://doi.org/10.2337/ds22-0089","url":null,"abstract":"OBJECTIVE Given the bidirectional relationship between type 2 diabetes and periodontal disease, this study sought to compile the available data regarding the relationship between home oral hygiene, specifically toothbrushing, and glycemic control and oral health in people with type 2 diabetes. METHODS A systematic scoping review was conducted using a combination of controlled vocabulary and keyword terms for type 2 diabetes and home oral care in PubMed and CINHAL. Publications from the past 20 years were considered for inclusion. Study data were summarized. RESULTS A total of 11 studies met our inclusion criteria. In all survey research identified, self-report of more frequent toothbrushing in people with type 2 diabetes was always found to be associated with self-report of better glycemic control and was often associated with better clinician-conducted measures oral health. In the interventional studies identified, health coaching about oral health was associated with improvements in glycemic control, and health coaching compared with health education was found to be associated with enhanced improvement in glycemic control and self-reported toothbrushing behavior. CONCLUSION The available data suggest that improved engagement in toothbrushing behavior may be associated with improved oral health and better glycemic control in people with type 2 diabetes. Whether improvement in glycemic control is a direct result of change to the oral environment, succeeding with one behavior change stimulating engagement in other health behavior changes, a combination of the two, or something else cannot be determined from this review. Additional studies are needed to further explore the potential for oral health coaching to improve the well-being of people with type 2 diabetes.","PeriodicalId":39737,"journal":{"name":"Diabetes Spectrum","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135658065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}