Literature DB >> 26969142

Is Psychological Stress a Factor for Incorporation Into Future Closed-Loop Systems?

Linda A Gonder-Frederick1, Jesse H Grabman2, Boris Kovatchev3, Sue A Brown4, Stephen Patek4, Ananda Basu5, Jordan E Pinsker6, Yogish C Kudva5, Christian A Wakeman4, Eyal Dassau7, Claudio Cobelli8, Howard C Zisser9, Francis J Doyle7.   

Abstract

BACKGROUND: The relationship between daily psychological stress and BG fluctuations in type 1 diabetes (T1DM) is unclear. More research is needed to determine if stress-related BG changes should be considered in glucose control algorithms. This study in the usual free-living environment examined relationships among routine daily stressors and BG profile measures generated from CGM readings.
METHODS: A total of 33 participants with T1DM on insulin pumps wore a CGM device for 1 week and recorded daily ratings of psychological stress, carbohydrates, and insulin boluses.
RESULTS: Within-subjects ANCOVAs found a significant relationship between daily stress and indices of BG variability/instability (r = .172 to .185, P = .011 to .018, r(2) = 2.97% to 3.43%), increased % time in hypoglycemia (r = .153, P = .036, r(2) = 2.33%) and decreased carbohydrate consumption (r = -.157, P = .031, r(2) = 2.47%). Models accounted for more variance for individuals reporting the highest daily stress. There was no relationship between stress and mean daily glucose or low/high glucose risk indices.
CONCLUSIONS: These preliminary findings suggest that naturally occurring daily stressors can be associated with increased glucose instability and hypoglycemia, as well as decreased food consumption. In addition, findings support the hypothesis that some individuals are more metabolically reactive to stress. More rigorous studies using CGM technology are needed to understand whether the impact of daily stress on BG is clinically meaningful and if it is a behavioral factor that should be considered in glucose control systems for some individuals.
© 2016 Diabetes Technology Society.

Entities:  

Keywords:  blood glucose variability; continuous glucose monitoring; psychological stress; type 1 diabetes

Mesh:

Substances:

Year:  2016        PMID: 26969142      PMCID: PMC5038545          DOI: 10.1177/1932296816635199

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  23 in total

1.  Statistical tools to analyze continuous glucose monitor data.

Authors:  William Clarke; Boris Kovatchev
Journal:  Diabetes Technol Ther       Date:  2009-06       Impact factor: 6.118

Review 2.  Stress hyperglycaemia.

Authors:  Kathleen M Dungan; Susan S Braithwaite; Jean-Charles Preiser
Journal:  Lancet       Date:  2009-05-23       Impact factor: 79.321

3.  Effect of psychological stress on glucose control in patients with Type 2 diabetes.

Authors:  M Faulenbach; H Uthoff; K Schwegler; G A Spinas; C Schmid; P Wiesli
Journal:  Diabet Med       Date:  2012-01       Impact factor: 4.359

4.  Blood glucose area under the curve. Methodological aspects.

Authors:  J P Le Floch; P Escuyer; E Baudin; D Baudon; L Perlemuter
Journal:  Diabetes Care       Date:  1990-02       Impact factor: 19.112

5.  Multicenter closed-loop insulin delivery study points to challenges for keeping blood glucose in a safe range by a control algorithm in adults and adolescents with type 1 diabetes from various sites.

Authors:  Howard Zisser; Eric Renard; Boris Kovatchev; Claudio Cobelli; Angelo Avogaro; Revital Nimri; Lalo Magni; Bruce A Buckingham; H Peter Chase; Francis J Doyle; John Lum; Peter Calhoun; Craig Kollman; Eyal Dassau; Anne Farret; Jerome Place; Marc Breton; Stacey M Anderson; Chiara Dalla Man; Simone Del Favero; Daniela Bruttomesso; Alessio Filippi; Rachele Scotton; Moshe Phillip; Eran Atlas; Ido Muller; Shahar Miller; Chiara Toffanin; Davide Martino Raimondo; Giuseppe De Nicolao; Roy W Beck
Journal:  Diabetes Technol Ther       Date:  2014-07-08       Impact factor: 6.118

6.  Effects of fasting and glucose load on free cortisol responses to stress and nicotine.

Authors:  C Kirschbaum; E Gonzalez Bono; N Rohleder; C Gessner; K M Pirke; A Salvador; D H Hellhammer
Journal:  J Clin Endocrinol Metab       Date:  1997-04       Impact factor: 5.958

7.  Evaluation of a new measure of blood glucose variability in diabetes.

Authors:  Boris P Kovatchev; Erik Otto; Daniel Cox; Linda Gonder-Frederick; William Clarke
Journal:  Diabetes Care       Date:  2006-11       Impact factor: 19.112

8.  Physiologic responses to acute psychological stress in adolescents with type 1 diabetes mellitus.

Authors:  A M Delamater; J Bubb; S M Kurtz; J Kuntze; J A Smith; N H White; J V Santiago
Journal:  J Pediatr Psychol       Date:  1988-03

9.  Calculating correlation coefficients with repeated observations: Part 2--Correlation between subjects.

Authors:  J M Bland; D G Altman
Journal:  BMJ       Date:  1995-03-11

Review 10.  Role of stress in the etiology and treatment of diabetes mellitus.

Authors:  R S Surwit; M S Schneider
Journal:  Psychosom Med       Date:  1993 Jul-Aug       Impact factor: 4.312

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  10 in total

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Authors:  Jordan E Pinsker; Sunil Deshpande; Shelly McCrady-Spitzer; Mei Mei Church; Ravinder Jeet Kaur; Jimena Perez; Donna Desjardins; Molly Piper; Corey Reid; Francis J Doyle; Yogish C Kudva; Eyal Dassau
Journal:  J Diabetes Sci Technol       Date:  2020-08-12

Review 2.  Multivariable Adaptive Artificial Pancreas System in Type 1 Diabetes.

Authors:  Ali Cinar
Journal:  Curr Diab Rep       Date:  2017-08-15       Impact factor: 4.810

3.  Realizing a Closed-Loop (Artificial Pancreas) System for the Treatment of Type 1 Diabetes.

Authors:  Rayhan A Lal; Laya Ekhlaspour; Korey Hood; Bruce Buckingham
Journal:  Endocr Rev       Date:  2019-12-01       Impact factor: 19.871

4.  Diabetes Technology Meeting 2021.

Authors:  Nicole Y Xu; Kevin T Nguyen; Ashley Y DuBord; John Pickup; Jennifer L Sherr; Hazhir Teymourian; Eda Cengiz; Barry H Ginsberg; Claudio Cobelli; David Ahn; Riccardo Bellazzi; B Wayne Bequette; Laura Gandrud Pickett; Linda Parks; Elias K Spanakis; Umesh Masharani; Halis K Akturk; John S Melish; Sarah Kim; Gu Eon Kang; David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2022-05-02

5.  Predicting Nocturnal Hypoglycemia from Continuous Glucose Monitoring Data with Extended Prediction Horizon.

Authors:  Long Vu; Sarah Kefayati; Tsuyoshi Idé; Venkata Pavuluri; Gretchen Jackson; Lisa Latts; Yuxiang Zhong; Pratik Agrawal; Yuan-Chi Chang
Journal:  AMIA Annu Symp Proc       Date:  2020-03-04

6.  Modeling inter-sex and inter-individual variability in response to chronopharmacological administration of synthetic glucocorticoids.

Authors:  Megerle L Scherholz; Rohit T Rao; Ioannis P Androulakis
Journal:  Chronobiol Int       Date:  2019-12-04       Impact factor: 2.877

7.  Body Mass Index Effect on Differing Responses to Psychological Stress in Blood Glucose Dynamics in Patients With Type 1 Diabetes.

Authors:  Basak Ozaslan; Stephen D Patek; Jesse H Grabman; Jaclyn A Shepard; Eyal Dassau; Marc D Breton; Yogish C Kudva; Sue A Brown; Ananda Basu; Jordan E Pinsker; Francis J Doyle; Linda Gonder-Frederick
Journal:  J Diabetes Sci Technol       Date:  2018-02-08

8.  Outpatient Randomized Crossover Automated Insulin Delivery Versus Conventional Therapy with Induced Stress Challenges.

Authors:  Ravinder Jeet Kaur; Sunil Deshpande; Jordan E Pinsker; Wesley P Gilliam; Shelly McCrady-Spitzer; Isabella Zaniletti; Donna Desjardins; Mei Mei Church; Francis J Doyle Iii; Walter K Kremers; Eyal Dassau; Yogish C Kudva
Journal:  Diabetes Technol Ther       Date:  2022-04-25       Impact factor: 7.337

Review 9.  Human Factors and Data Logging Processes With the Use of Advanced Technology for Adults With Type 1 Diabetes: Systematic Integrative Review.

Authors:  Marion Waite; Clare Martin; Rachel Franklin; David Duce; Rachel Harrison
Journal:  JMIR Hum Factors       Date:  2018-03-15

Review 10.  Coordination of glucose monitoring, self-care behaviour and mental health: achieving precision monitoring in diabetes.

Authors:  Norbert Hermanns; Dominic Ehrmann; Amit Shapira; Bernhard Kulzer; Andreas Schmitt; Lori Laffel
Journal:  Diabetologia       Date:  2022-04-05       Impact factor: 10.460

  10 in total

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