ArticleFrontiers in psychology2024
Psychosocial factors influencing dietary management in patients with type 2 diabetes and healthy adults: an ecological momentary assessment approach.
Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Challenges and barriers in managing Type 2 diabetes: insights from a qualitative study of patients' experiences at a university hospital in Qassim, Saudi Arabia.Global health action · 2026Article
- Real-Time Psychological Factors Using Ecological Momentary Assessment With Continuous Glucose Monitoring in Diabetes Mellitus: Scoping Review.JMIR diabetes · 2026Review
- Ecological Momentary Assessment of Person-Reported Outcomes in Diabetes: Unlocking Insights with Continuous Glucose Monitoring and the Potential for Precision Medicine.Current diabetes reports · 2026Review
- Associations among hedonic hunger, digital obesity, and type 2 diabetes self-management.Frontiers in nutrition · 2026Article
- Four night eating behavior subtypes in young and middle-aged adults with type 2 diabetes: insights for targeted public health interventions.Frontiers in public health · 2026Article
- Impact of socio-economic factors and lifestyle behaviours on the quality of life of diabetes patients in Markurdi Benue state Nigeria.Scientific reports · 2025Article
- Type 2 diabetes prediction without labs: a systems-level neural framework for risk and behavioral network reorganization.Frontiers in digital health · 2025Article
- Exploring mHealth interventions for medication management: a scoping review of digital tools, implementation barriers, and patient outcomes.PeerJ. Computer science · 2025Article
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Abstract
Background: Dietary management in diabetic patients is affected by psychosocial factors and the social-environmental context. Ecological momentary assessment (EMA) allows patients to consistently report their experiences in real-time over a certain period and across different contexts. Despite the importance of dietary management, only a few EMA studies have been conducted on dietary management and psychosocial factors in patients with type 2 diabetes; further evidence must be gathered. Therefore, this study examined dietary management and psychosocial factors using EMA, comparing type 2 diabetes patients with healthy adults. Methods: A total of 20 patients with type 2 diabetes and 16 healthy adults underwent EMA. Relying on event-contingent recordings, this study evaluated the participants' mood (e.g., anxiety, anger, vigor), appetite (hunger, craving), meal types (e.g., breakfast), location (e.g., eating out), companions (e.g., family), and dietary lapses (e.g., I ate a larger portion of a meal or snack than I intended) before and after meals. Dietary lapse recording after meals was paired with psychosocial data before meals. Only the type 2 diabetes patients used a sensor-based glucose monitoring system (Freestyle Libre Pro, Abbot) and wearable activity monitors (GT3X-BT, ActiGraph). Results: The EMA produced a total of 4,254 responses. Dietary lapse predicted two-hour postprandial glucose through a sensor-based glucose monitoring system. Multilevel logistic regression analyses were performed. For diabetes patients, dietary lapse was affected by vigor, fatigue, and cravings before eating. Meanwhile, for healthy adults, only fatigue before meals affected dietary lapse, and increased vigor from dietary intake was associated with dietary lapse. In both type 2 diabetes patients and healthy adults, eating-out situations were linked to dietary lapse. Conclusion: The results suggest differences in psychosocial factors influencing dietary lapse between patients with type 2 diabetes and healthy adults. EMA is well suited to assess psychosocial factors that drive dietary management in diabetic patients. This study further discussed the possibility of individual approaches using EMA data.
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