Function and Emotion in Everyday Life With Type 1 Diabetes (FEEL-T1D): Protocol for a Fully Remote Intensive Longitudinal Study

Pyatak, Elizabeth A.; Hernandez, Raymond; Pham, Loree T.; Mehdiyeva, Khatira; Schneider, Stefan; Peters, Anne L.; Ruelas, Valerie; Crandall, Jill P.; Lee, Pey-Jiuan; Jin, Haomiao; Hoogendoorn, Claire J.; Crespo-Ramos, Gladys; Mendez-Rodriguez, Heidy; Harmel, Mark; Walker, Martha A.; Serafin-Dokhan, Sara; Gonzalez, Jeffrey S.; Spruijt‐Metz, Donna

doi:10.2196/30901

Cited by 27 publications

(24 citation statements)

References 55 publications

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“…Further analysis of the relationship between mental health aspects and glucose levels, as well as excursions, is needed [44]. Nice examples of such analyses are current studies combing EMA and CGM: the FEEL-T1D study in the USA [45]; the DIA-LINK studies in Germany [44]; and the international Hypo-METRICS study within the Hypo-RESOLVE Research Consortium [46]. Such work could support the identification of subgroups of individuals whose mental health might be more strongly influenced by the course of glucose compared with others whose glycaemic control might not be strongly associated with mental health.…”

Section: Mental Health and Glycaemic Control A Study By Cox Et Al Dem...mentioning

confidence: 99%

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

et al. 2022

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Monitoring of glucose plays an essential role in the management of diabetes. However, to fully understand and meaningfully interpret glucose levels, additional information on context is necessary. Important contextual factors include data on behaviours such as eating, exercise, medication-taking and sleep, as well as data on mental health aspects such as stress, affect, diabetes distress and depressive symptoms. This narrative review provides an overview of the current state and future directions of precision monitoring in diabetes. Precision monitoring of glucose has made great progress over the last 5 years with the emergence of continuous glucose monitoring (CGM), automated analysis of new glucose variables and visualisation of CGM data via the ambulatory glucose profile. Interestingly, there has been little progress in the identification of subgroups of people with diabetes based on their glycaemic profile. The integration of behavioural and mental health data could enrich such identification of subgroups to stimulate precision medicine. There are a handful of studies that have used innovative methodology such as ecological momentary assessment to monitor behaviour and mental health in people’s everyday life. These studies indicate the importance of the interplay between behaviour, mental health and glucose. However, automated integration and intelligent interpretation of these data sources are currently not available. Automated integration of behaviour, mental health and glucose could lead to the identification of certain subgroups that, for example, show a strong association between mental health and glucose in contrast to subgroups that show independence of mental health and glucose. This could inform precision diagnostics and precision therapeutics. We identified just-in-time adaptive interventions as a potential means by which precision monitoring could lead to precision therapeutics. Just-in-time adaptive interventions consist of micro-interventions that are triggered in people’s everyday lives when a certain problem is identified using monitored behaviour, mental health and glucose variables. Thus, these micro-interventions are responsive to real-life circumstances and are adaptive to the specific needs of an individual with diabetes. We conclude that, with current developments in big data analysis, there is a huge potential for precision monitoring in diabetes. Graphical abstract

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Section: Mental Health and Glycaemic Control A Study By Cox Et Al Dem...mentioning

confidence: 99%

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

et al. 2022

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“…This led to 5-6 times of assessments per day depending on individual’s wake to sleep times. The full protocol for the FEEL-T1D study was previously published [32]. The study protocol was approved by the University of Southern California and Albert Einstein College of Medicine Institutional Review Boards.…”

Section: Methodsmentioning

confidence: 99%

Within-person Relationships of Sleep Duration with Next-Day Stress and Affect in the Daily Life of Adults with Type-1 Diabetes

Jin

Gonzalez

Pyatak

et al. 2023

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ObjectiveThe objective of this study is to examine the within-person relationships between sleep duration and next-day stress and affect in the daily life of individuals with T1D.MethodsStudy participants were recruited in the Function and Emotion in Everyday Life with Type 1 Diabetes (FEEL-T1D) study. Sleep duration was derived by synthesizing objective (actigraphy) and self-report measures. General and diabetes-specific stress and positive and negative affect were measured using ecological momentary assessment. Multilevel regression was used to examine the within-person relationships between sleep duration and next-day stress and affect. Cross-level interactions were used to explore whether gender and baseline depression and anxiety moderated these within-person relationships.ResultsAdults with T1D (n=166) completed measurements for 14 days. The average age was 40.99 years, and 91 participants (54.82%) were female. The average sleep duration was 7.29 hours (SD=1.18 hours). Longer sleep was significantly associated with lower general stress (p<0.001) but not diabetes-specific stress (p=0.18) on the next day. There were significant within-person associations of longer sleep with lower levels on next-day negative affect (overall, p=0.002, disappoint, p=0.05; sad, p=0.05; tense, p<0.001; upset, p=0.008; anxious, p=0.04). There were no significant associations with positive affect. Examination of the interaction effects did not reveal significant differential relationships for men and women and for individuals with and without depression or anxiety at baseline.ConclusionFindings from this study suggest optimizing sleep duration as an important interventional target for better managing general stress and improving daily emotional wellbeing of individuals with T1D.

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“…This study is a secondary analysis from an overarching study investigating relationships between blood glucose, function, and emotional well-being in adults with type 1 diabetes (T1D) (Pyatak et al, 2021 ). In this case, function refers to self-reported daily life activity performance, objective cognitive function, and physical activity derived from accelerometers.…”

Section: Methodsmentioning

confidence: 99%

Movement matters: short-term impacts of physical activity on mood and well-being

et al. 2023

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Few studies have investigated the short-term, momentary relationships between physical activity (PA) and well-being. This study focuses on investigating the dynamic relationships between PA and affective well-being among adults with type 1 diabetes. Participants (n = 122) wore an accelerometer and completed daily EMA surveys of current activities and affective states (e.g., happy, stressed, excited, anxious) via smartphone over 14 days. Within-person, increased sedentary time was associated with less positive affect (r = − 0.11, p < 0.001), while more PA of any intensity was associated with greater positive affect and reduced fatigue, three hours later. Between-person, increased light PA was associated with increased stress (r = 0.21, p = 0.02) and diabetes distress (r = 0.30, p = 0.001). This study provides evidence that positive affect and fatigue are predicted by previous activity regardless of the different activities that people engaged in. Positive affect increased after engaging in PA. However, participants with higher amounts of light PA reported higher stress ratings.

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Function and Emotion in Everyday Life With Type 1 Diabetes (FEEL-T1D): Protocol for a Fully Remote Intensive Longitudinal Study

Cited by 27 publications

References 55 publications

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

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

Within-person Relationships of Sleep Duration with Next-Day Stress and Affect in the Daily Life of Adults with Type-1 Diabetes

Movement matters: short-term impacts of physical activity on mood and well-being

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