دورية أكاديمية
Glycemic Variability and Fluctuations in Cognitive Status in Adults With Type 1 Diabetes (GluCog): Observational Study Using Ecological Momentary Assessment of Cognition.
| العنوان: | Glycemic Variability and Fluctuations in Cognitive Status in Adults With Type 1 Diabetes (GluCog): Observational Study Using Ecological Momentary Assessment of Cognition. |
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| المؤلفون: | Mascarenhas Fonseca L; Department of Community and Behavioral Health, Elson S Floyd College of Medicine, Washington State University, Spokane, WA, United States.; Old Age Research Group (PROTER), Department and Institute of Psychiatry, University of Sao Paulo, Sao Paulo, Brazil., Strong RW; Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, United States.; Department of Psychiatry, Harvard Medical School, Boston, MA, United States., Singh S; Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, United States.; Department of Psychiatry, Harvard Medical School, Boston, MA, United States., Bulger JD; Department of Medicine, State University of New York Upstate Medical University, Syracuse, NY, United States., Cleveland M; Department of Human Development, Washington State University, Pullman, WA, United States., Grinspoon E; Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, United States.; Department of Psychiatry, Harvard Medical School, Boston, MA, United States., Janess K; Jaeb Center for Health Research, Tampa, FL, United States., Jung L; Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, United States.; Department of Psychiatry, Harvard Medical School, Boston, MA, United States., Miller K; Jaeb Center for Health Research, Tampa, FL, United States., Passell E; Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, United States.; Department of Psychiatry, Harvard Medical School, Boston, MA, United States., Ressler K; The Silvio O Conte Center for Stress Peptide Advanced Research, Education, & Dissemination Center (SPARED), Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, MA, United States., Sliwinski MJ; Department of Human Development and Family Studies, The Pennsylvania State University, State College, PA, United States.; Center for Healthy Aging, Pennsylvania State University, State College, PA, United States., Verdejo A; Jaeb Center for Health Research, Tampa, FL, United States., Weinstock RS; Department of Medicine, State University of New York Upstate Medical University, Syracuse, NY, United States., Germine L; Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, United States.; Department of Psychiatry, Harvard Medical School, Boston, MA, United States., Chaytor NS; Department of Community and Behavioral Health, Elson S Floyd College of Medicine, Washington State University, Spokane, WA, United States. |
| المصدر: | JMIR diabetes [JMIR Diabetes] 2023 Jan 05; Vol. 8, pp. e39750. Date of Electronic Publication: 2023 Jan 05. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: JMIR Publications Inc Country of Publication: Canada NLM ID: 101719410 Publication Model: Electronic Cited Medium: Internet ISSN: 2371-4379 (Electronic) Linking ISSN: 23714379 NLM ISO Abbreviation: JMIR Diabetes Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: | Original Publication: Toronto, ON, Canada : JMIR Publications Inc., [2016]- |
| مستخلص: | Background: Individuals with type 1 diabetes represent a population with important vulnerabilities to dynamic physiological, behavioral, and psychological interactions, as well as cognitive processes. Ecological momentary assessment (EMA), a methodological approach used to study intraindividual variation over time, has only recently been used to deliver cognitive assessments in daily life, and many methodological questions remain. The Glycemic Variability and Fluctuations in Cognitive Status in Adults with Type 1 Diabetes (GluCog) study uses EMA to deliver cognitive and self-report measures while simultaneously collecting passive interstitial glucose in adults with type 1 diabetes. Objective: We aimed to report the results of an EMA optimization pilot and how these data were used to refine the study design of the GluCog study. An optimization pilot was designed to determine whether low-frequency EMA (3 EMAs per day) over more days or high-frequency EMA (6 EMAs per day) for fewer days would result in a better EMA completion rate and capture more hypoglycemia episodes. The secondary aim was to reduce the number of cognitive EMA tasks from 6 to 3. Methods: Baseline cognitive tasks and psychological questionnaires were completed by all the participants (N=20), followed by EMA delivery of brief cognitive and self-report measures for 15 days while wearing a blinded continuous glucose monitor. These data were coded for the presence of hypoglycemia (<70 mg/dL) within 60 minutes of each EMA. The participants were randomized into group A (n=10 for group A and B; starting with 3 EMAs per day for 10 days and then switching to 6 EMAs per day for an additional 5 days) or group B (N=10; starting with 6 EMAs per day for 5 days and then switching to 3 EMAs per day for an additional 10 days). Results: A paired samples 2-tailed t test found no significant difference in the completion rate between the 2 schedules (t Conclusions: The results from this EMA optimization pilot guided key design decisions regarding the EMA frequency and study duration for the main GluCog study. The present report responds to the urgent need for systematic and detailed information on EMA study designs, particularly those using cognitive assessments coupled with physiological measures. Given the complexity of EMA studies, choosing the right instruments and assessment schedules is an important aspect of study design and subsequent data interpretation. (©Luciana Mascarenhas Fonseca, Roger W Strong, Shifali Singh, Jane D Bulger, Michael Cleveland, Elizabeth Grinspoon, Kamille Janess, Lanee Jung, Kellee Miller, Eliza Passell, Kerry Ressler, Martin John Sliwinski, Alandra Verdejo, Ruth S Weinstock, Laura Germine, Naomi S Chaytor. Originally published in JMIR Diabetes (https://diabetes.jmir.org), 05.01.2023.) |
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| معلومات مُعتمدة: | P30 DK111022 United States DK NIDDK NIH HHS |
| فهرسة مساهمة: | Keywords: adults; assessment; behavioral; cognition; cognitive; cognitive variability; continuous glucose monitoring; data; diabetes; digital neuropsychology; digital technology; ecological momentary assessment; glucose; hypoglycemia; physiological; psychological; remote assessment; sample; study design; type 1 diabetes |
| تواريخ الأحداث: | Date Created: 20230105 Latest Revision: 20230523 |
| رمز التحديث: | 20231215 |
| مُعرف محوري في PubMed: | PMC9853340 |
| DOI: | 10.2196/39750 |
| PMID: | 36602848 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 2371-4379 |
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| DOI: | 10.2196/39750 |