The impact of sleep and movement behaviour on daily mood in people with type 2 diabetes: A smartphone‐based digital phenotyping study
Authors' conclusion
Though effects were small, results indicate smartphone-derived behaviour influences daily mood for both people with and without T2D, but that the nuances of these relationships may differ. If daily mood correlates differ between people with and without T2D, digital phenotyping for early detection and intervention may need to be tailored to those with T2D.
Study context
- Population
- People with and without T2D; 2 months of smartphone-based data collection
- Participants
- 61 people
- Comparison
- People with T2D vs without T2D
- T2Dn = 32
- Without T2Dn = 29reference
- Outcome
- Impact of sleep and movement on subsequent daily mood (happiness, sadness, stress, anger), adjusted for age, gender and employment status
Methodological detailssmartphone-based, ecological momentary assessment, GPS and accelerometer, dynamic structural equation modelling
- Smartphone-based
- Ecological momentary assessment
- GPS and accelerometer
- Dynamic structural equation modelling
Main finding
As reported in the abstract
Within-person effects of smartphone-derived behaviour on subsequent mood
Significant within-person behaviour–mood effects
18
Within-person effects indicating a positive effect of behaviour on mood
17
Greater actigraphy-derived step count predicting greater anger in T2D; no effect in those without T2D
0.13
0.05, 0.2
Original publication
The impact of sleep and movement behaviour on daily mood in people with type 2 diabetes: A smartphone‐based digital phenotyping study. Diabet Med. Published 19 February 2026. doi:10.
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