2020
DOI: 10.1016/j.jpsychores.2020.110141
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Interstitial glucose and subsequent affective and physical feeling states: A pilot study combining continuous glucose monitoring and ecological momentary assessment in adolescents

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Cited by 12 publications
(4 citation statements)
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“…Participant burden of the data collection can also be decreased by using sensor-based assessments, such as continuous glucose monitors in the study of Zink et al [7]. These authors calculated mean interstitial glucose during time windows in which they also assessed affect and fatigue, and showed that individual relative increases in interstitial glucose relate to subsequent higher positive affective and lower fatigue in healthy young participants.…”
Section: Data Collectionmentioning
confidence: 99%
“…Participant burden of the data collection can also be decreased by using sensor-based assessments, such as continuous glucose monitors in the study of Zink et al [7]. These authors calculated mean interstitial glucose during time windows in which they also assessed affect and fatigue, and showed that individual relative increases in interstitial glucose relate to subsequent higher positive affective and lower fatigue in healthy young participants.…”
Section: Data Collectionmentioning
confidence: 99%
“…Data collection for this study was conducted from May to November 2018. The work presented here is a secondary analysis of pilot data with the primary goal of demonstrating the scalability of combining EMA and continuous glucose monitoring [ 24 ]. Enrollment for this pilot study was performed on a rolling basis until the target sample size (N=15) was met.…”
Section: Methodsmentioning
confidence: 99%
“…In real-world settings, eating behavior, and thus glucose variability, is influenced by several individual-level factors. One example of an individual factor that influences eating behavior is affect [ 18 - 21 ]. The relationship between eating behavior and affect appears to be bidirectional as fatigue, stress, and negative mood are associated with increased cravings and food consumption [ 19 - 22 ], while variations in glucose in response to eating may relate to affective and physical feeling states [ 23 - 26 ].…”
Section: Introductionmentioning
confidence: 99%
“…A recent review [ 29 ] of mood and glucose variability in type 1 and 2 diabetes identified only 1 study that used CGMs and EMA to evaluate mood and glucose [ 25 ] and called for more research evaluating the relationships between mood or affect and glucose variability. To date, only a small (n=15) pilot study has combined EMA responses with CGM data to evaluate its association with affective and physical feeling states in nondiabetic samples [ 18 ]. Thus, the aims of this study are to (1) evaluate the feasibility of conducting a study using CGMs and EMA and (2) examine the bidirectional relationship between affect and glucose in adults using CGM and EMA data.…”
Section: Introductionmentioning
confidence: 99%