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Dynamic associations between glucose and ecological momentary cognition in Type 1 Diabetes.
Hawks, Z W; Beck, E D; Jung, L; Fonseca, L M; Sliwinski, M J; Weinstock, R S; Grinspoon, E; Xu, I; Strong, R W; Singh, S; Van Dongen, H P A; Frumkin, M R; Bulger, J; Cleveland, M J; Janess, K; Kudva, Y C; Pratley, R; Rickels, M R; Rizvi, S R; Chaytor, N S; Germine, L T.
Afiliação
  • Hawks ZW; Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, USA. zhawks@mclean.harvard.edu.
  • Beck ED; Department of Psychiatry, Harvard Medical School, Boston, MA, USA. zhawks@mclean.harvard.edu.
  • Jung L; Department of Psychology, University of California Davis, Davis, CA, USA.
  • Fonseca LM; Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, USA.
  • Sliwinski MJ; Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA.
  • Weinstock RS; Programa Terceira Idade (PROTER, Old Age Research Group), Department and Institute of Psychiatry, University of São Paulo School of Medicine, São Paulo, Brazil.
  • Grinspoon E; Department of Human Development and Family Studies, Center for Healthy Aging, Pennsylvania State University, State College, PA, USA.
  • Xu I; SUNY Upstate Medical University, Syracuse, NY, USA.
  • Strong RW; Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, USA.
  • Singh S; Department of Psychology, University of Notre Dame, Notre Dame, IN, USA.
  • Van Dongen HPA; The Many Brains Project, Belmont, MA, USA.
  • Frumkin MR; Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, USA.
  • Bulger J; Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
  • Cleveland MJ; Sleep and Performance Research Center & Department of Translational Medicine and Physiology, Washington State University, Spokane, WA, USA.
  • Janess K; Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
  • Kudva YC; Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.
  • Pratley R; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
  • Rickels MR; SUNY Upstate Medical University, Syracuse, NY, USA.
  • Rizvi SR; Department of Human Development, Washington State University, Pullman, WA, USA.
  • Chaytor NS; Jaeb Center for Health Research, Tampa, FL, USA.
  • Germine LT; Division of Endocrinology, Diabetes and Nutrition, Mayo Clinic, Rochester, MN, USA.
NPJ Digit Med ; 7(1): 59, 2024 Mar 18.
Article em En | MEDLINE | ID: mdl-38499605
ABSTRACT
Type 1 diabetes (T1D) is a chronic condition characterized by glucose fluctuations. Laboratory studies suggest that cognition is reduced when glucose is very low (hypoglycemia) and very high (hyperglycemia). Until recently, technological limitations prevented researchers from understanding how naturally-occurring glucose fluctuations impact cognitive fluctuations. This study leveraged advances in continuous glucose monitoring (CGM) and cognitive ecological momentary assessment (EMA) to characterize dynamic, within-person associations between glucose and cognition in naturalistic environments. Using CGM and EMA, we obtained intensive longitudinal measurements of glucose and cognition (processing speed, sustained attention) in 200 adults with T1D. First, we used hierarchical Bayesian modeling to estimate dynamic, within-person associations between glucose and cognition. Consistent with laboratory studies, we hypothesized that cognitive performance would be reduced at low and high glucose, reflecting cognitive vulnerability to glucose fluctuations. Second, we used data-driven lasso regression to identify clinical characteristics that predicted individual differences in cognitive vulnerability to glucose fluctuations. Large glucose fluctuations were associated with slower and less accurate processing speed, although slight glucose elevations (relative to person-level means) were associated with faster processing speed. Glucose fluctuations were not related to sustained attention. Seven clinical characteristics predicted individual differences in cognitive vulnerability to glucose fluctuations age, time in hypoglycemia, lifetime severe hypoglycemic events, microvascular complications, glucose variability, fatigue, and neck circumference. Results establish the impact of glucose on processing speed in naturalistic environments, suggest that minimizing glucose fluctuations is important for optimizing processing speed, and identify several clinical characteristics that may exacerbate cognitive vulnerability to glucose fluctuations.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article