937-P: Self-Reported Acute Psychological Stress Is Associated with CGM-Based Hyperglycemia in Type 1 Diabetes

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 937-P
Author(s):  
VIKASH DADLANI ◽  
JORDAN E. PINSKER ◽  
KANCHAN KUMARI ◽  
CAMILLE C. ANDRE ◽  
MARZIA CESCON ◽  
...  
1988 ◽  
Vol 13 (1) ◽  
pp. 69-86 ◽  
Author(s):  
Alan M. Delamater ◽  
Jeanne Bubb ◽  
Steven M. Kurtz ◽  
Joyce Kuntze ◽  
Jeffrey A. Smith ◽  
...  

Diabetes Care ◽  
2005 ◽  
Vol 28 (8) ◽  
pp. 1910-1915 ◽  
Author(s):  
P. Wiesli ◽  
C. Schmid ◽  
O. Kerwer ◽  
C. Nigg-Koch ◽  
R. Klaghofer ◽  
...  

2018 ◽  
Vol 14 (12) ◽  
pp. 1081-1088 ◽  
Author(s):  
Kassem Sharif ◽  
Abdulla Watad ◽  
Louis Coplan ◽  
Howard Amital ◽  
Yehuda Shoenfeld ◽  
...  

2008 ◽  
Vol 31 (5) ◽  
pp. 406-415 ◽  
Author(s):  
K. Karavanaki ◽  
E. Tsoka ◽  
M. Liacopoulou ◽  
C. Karayianni ◽  
V. Petrou ◽  
...  

2018 ◽  
Vol 12 (3) ◽  
pp. 657-664 ◽  
Author(s):  
Basak Ozaslan ◽  
Stephen D. Patek ◽  
Jesse H. Grabman ◽  
Jaclyn A. Shepard ◽  
Eyal Dassau ◽  
...  

Objective: The objective was to investigate the relationship of body mass index (BMI) to differing glycemic responses to psychological stress in patients with type 1 diabetes. Methods: Continuous blood glucose monitor (CGM) data were collected for 1 week from a total of 37 patients with BMI ranging from 21.5-39.4 kg/m2 (mean = 28.2 ± 4.9). Patients reported daily stress levels (5-point Likert-type scale, 0 = none, 4 = extreme), physical activity, carbohydrate intake, insulin boluses and basal rates. Daily reported carbohydrates, total insulin bolus, and average blood glucose (BG from CGM) were compared among patients based on their BMI levels on days with different stress levels. In addition, daily averages of a model-based “effectiveness index” (quantifying the combined impact of insulin and carbohydrate on glucose levels) were defined and compared across stress levels to capture meal and insulin independent glycemic changes. Results: Analyses showed that patient BMI likely moderated stress related glycemic changes. Linear mixed effect model results were significant for the stress-BMI interaction on both behavioral and behavior-independent glycemic changes. Across participants, under stress, an increase was observed in daily carbohydrate intake and effectiveness index at higher BMI. There was no significant interactive effect on daily insulin or average BG. Conclusion: Findings suggest that (1) stress has both behavioral and nonbehavioral glycemic effects on T1D patients and (2) the direction and magnitude of these effects are potentially influenced by level of stress and patient BMI. Possibly responsible for these observed effects are T1D/BMI related alterations in endocrine response.


2020 ◽  
Vol 15 (1) ◽  
pp. 184-185
Author(s):  
Jordan E. Pinsker ◽  
Sunil Deshpande ◽  
Shelly McCrady-Spitzer ◽  
Mei Mei Church ◽  
Ravinder Jeet Kaur ◽  
...  

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Ravinder Jeet Kaur ◽  
Jordan E Pinsker ◽  
Vikash Dadlani ◽  
Prabin Thapa ◽  
Sreedhar Batthula ◽  
...  

Abstract Introduction: Patients and their families and medical providers have assumed that psychologic stress impacts glucose control in T1D (Type 1 Diabetes) though studies providing confirmatory evidence in real world settings are, to our knowledge, lacking. We hypothesized that self-reported psychologic stress worsens glucose control in T1D. Method: We studied 20 adults with T1D on continuous glucose monitor (CGM), sensor augmented insulin pump (SAP) prospectively at 2 clinical research centers. Patients reported psychological stress through stress diaries for 5 weeks on a severity scale of 1-7 using hard copy logs including time of onset and offset of stress and severity. For analytic purpose, grades 1-4 are classified as mild and grades 5-7 as severe. Results: Baseline characteristics were age 44.9±15.0 years, F/M 12/8, HbA1c 6.8 ± 0.7%, and diabetes duration of 22.9±15.9 years. We analyzed glucose variability during days of stress versus days without stress. During a 24 hour period, patients experienced less hypoglycemia during days with stress versus days without stress (p value 0.03). During the 5 week period, patients reported 23 ± 19.5 events. We analyzed the impact of self-reported stress on CGM data streams after excluding stress events associated with missing CGM data, nocturnal events (from 12 MN to 6 AM, too few events) and events for which subjects did not provide duration of stress. Thus, we analyzed 19.5 ± 17 events per patient from 6AM to 12MN. From 6 AM to 12 MN, the episodes lasted 179 ± 255 minutes with 83 % episodes being mild/moderate and 17% moderate/ severe. Number of CGM readings during daytime stress episodes were 717± 1120 compared to 8768± 1238 during non-stress periods. Impact of stress from 6 AM to 12 MN (Mid-Night) on CGM glucose was analyzed using matched paired t test. Mean glucose (160.6±41.9 vs 148.3± 28.6) and SD (53.2 ±17.7 vs 56.1±14.6) did not show a difference; however % of time spent below 70 mg/dl was less (4 ± 5) in patients during stressful periods compared to times without stress (6.3± 5.5, P value 0.02). Conclusions: To our knowledge, this is the first study attempting to analyze the impact of self-reported stress using daily stress diaries on CGM data streams in T1D patients on SAP. The study revealed significant challenges experienced by patients in reporting adequate data. Self-reported stress was not associated with hyperglycemia. However, days of self-reported stress and periods during patients reported stress were characterized by less hypoglycemia on CGM data streams.


2013 ◽  
Vol 100 (2) ◽  
pp. 257-264 ◽  
Author(s):  
Maria Nygren ◽  
Johnny Ludvigsson ◽  
John Carstensen ◽  
Anneli Sepa Frostell

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