RT Journal Article
T1 Evaluating the Influence of Mood and Stress on Glycemic Variability in People with T1DM Using Glucose Monitoring Sensors and Pools
A1 Velasco Cabo, José Manuel
A1 Botella Serrano, Marta
A1 Sánchez Sánchez, Almudena
A1 Aramendi, Aranzazu
A1 Martínez, Remedios
A1 Maqueda, Esther
A1 Garnica Alcázar, Oscar
A1 Contador, Sergio
A1 Lanchares Dávila, Juan
A1 Hidalgo González, José Ignacio
AB Objective: Assess in a sample of people with type 1 diabetes mellitus whether mood and stress influence blood glucose levels and variability. Material and Methods: Continuous glucose monitoring was performed on 10 patients with type 1 diabetes mellitus, where interstitial glucose values were recorded every 15 min. A daily survey was conducted through Google Forms, collecting information on mood and stress. The day was divided into six slots of 4-h each, asking the patient to assess each slot in relation to mood (sad, normal or happy) and stress (calm, normal or nervous). Different measures of glycemic control (arithmetic mean and percentage of time below/above the target range) and variability (standard deviation, percentage coefficient of variation, mean amplitude of glycemic excursions and mean of daily differences) were calculated to relate the mood and stress perceived by patients with blood glucose levels and glycemic variability. A hypothesis test was carried out to quantitatively compare the data groups of the different measures using the Student’s t-test. Results: Statistically significant differences (p-value < 0.05) were found between different levels of stress. In general, average glucose and variability decrease when the patient is calm. There are statistically significant differences (p-value < 0.05) between different levels of mood. Variability increases when the mood changes from sad to happy. However, the patient’s average glucose decreases as the mood improves. Conclusions: Variations in mood and stress significantly influence blood glucose levels, and glycemic variability in the patients analyzed with type 1 diabetes mellitus. Therefore, they are factors to consider for improving glycemic control. The mean of daily differences does not seem to be a good indicator for variability.
PB MPDI
SN 2673-4540
YR 2022
FD 2022-04-11
LK https://hdl.handle.net/20.500.14352/71814
UL https://hdl.handle.net/20.500.14352/71814
LA eng
NO Ministerio de Economía y Competitividad (MINECO)
NO Ministerio de Ciencia e Innovación (MICINN)
NO Comunidad de Madrid
NO Fundación Eugenio Rodríguez Pascual 2019–2020
DS Docta Complutense
RD 29 abr 2024