Ecological momentary assessment for health behaviors and contextual factors in persons with diabetes: A systematic review

Nam, Soohyun; Griggs, Stephanie; Ash, Garrett I.; Dunton, Genevieve F.; Huang, Shuyuan; Batten, Janene; Parekh, Niyati; Whittemore, Robin

doi:10.1016/j.diabres.2021.108745

Cited by 8 publications

(5 citation statements)

References 48 publications

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“…For example, one may ask regular questions on depressive symptoms by performing multiple assessments over a relatively short period and thus provide a more representative picture of the course of a disorder. EMA allows for better evaluation of within-person changes, which in chronic diseases with high recurrence may provide valuable information for the patient, healthcare providers and researchers [ 59 ]. Several studies summarised in a systematic review carried out by our group used EMA methodology to link depression to glycaemic variables, showing that high variability in depressive symptoms was associated with higher glucose variability, especially in those with type 1 diabetes [ 60 ].…”

Section: Detailed Assessment Of Mental Disorders (Precision Monitoring)mentioning

confidence: 99%

“…Several studies summarised in a systematic review carried out by our group used EMA methodology to link depression to glycaemic variables, showing that high variability in depressive symptoms was associated with higher glucose variability, especially in those with type 1 diabetes [ 60 ]. A recent review of studies using EMA in people with diabetes to assess stress, anxiety and depression showed that changes in these conditions predicted suboptimal diabetes self-management [ 59 ], suggesting that, despite limited research (only ten studies were included), EMA may have potential clinical utility for diabetes care. However, it is important to ensure that the use of such technologies does not widen health inequalities, as these technologies may not be widely available to all who need them.…”

Section: Detailed Assessment Of Mental Disorders (Precision Monitoring)mentioning

confidence: 99%

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The role of mental disorders in precision medicine for diabetes: a narrative review

et al. 2022

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This narrative review aims to examine the value of addressing mental disorders as part of the care of people with type 1 and type 2 diabetes in terms of four components of precision medicine. First, we review the empirical literature on the role of common mental disorders in the development and outcomes of diabetes (precision prevention and prognostics). We then review interventions that can address mental disorders in individuals with diabetes or at risk of diabetes (precision treatment) and highlight recent studies that have used novel methods to individualise interventions, in person and through applications, based on mental disorders. Additionally, we discuss the use of detailed assessment of mental disorders using, for example, mobile health technologies (precision monitoring). Finally, we discuss future directions in research and practice and challenges to addressing mental disorders as a factor in precision medicine for diabetes. This review shows that several mental disorders are associated with a higher risk of type 2 diabetes and its complications, while there is suggestive evidence indicating that treating some mental disorders could contribute to the prevention of diabetes and improve diabetes outcomes. Using technologically enabled solutions to identify mental disorders could help individuals who stand to benefit from particular treatments. However, there are considerable gaps in knowledge and several challenges to be met before we can stratify treatment recommendations based on mental disorders. Overall, this review demonstrates that addressing mental disorders as a facet of precision medicine could have considerable value for routine diabetes care and has the potential to improve diabetes outcomes. Graphical abstract

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Section: Detailed Assessment Of Mental Disorders (Precision Monitoring)mentioning

confidence: 99%

Section: Detailed Assessment Of Mental Disorders (Precision Monitoring)mentioning

confidence: 99%

The role of mental disorders in precision medicine for diabetes: a narrative review

et al. 2022

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“…To overcome some of these limitations, assessment methods such as digital food diaries and image-based dietary assessments have emerged [ 4 ]. Further advances in technologies and their widespread societal adoption have created new opportunities to obtain and consider food consumption behaviours and the contextual factors surrounding eating events as they occur in everyday life [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

“…Ecological momentary assessment (EMA) is a real-time data capture method originally used for psychological assessments that can monitor human phenomena as they occur in their natural environment [ 5 , 7 ]. EMA has appeared useful in obtaining social, psychological and environmental contexts surrounding dynamic patterns of diet behaviours simultaneously while removing the need for recall memory [ 6 ]. Most EMA research in recent times has been delivered over mobile technology due to its ubiquity, particularly with young people [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

The Use of Mobile-Based Ecological Momentary Assessment (mEMA) Methodology to Assess Dietary Intake, Food Consumption Behaviours and Context in Young People: A Systematic Review

et al. 2022

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Mobile-based ecological momentary assessment (mEMA) offers a novel method for dietary assessment and may reduce recall bias and participant burden. This review evaluated mEMA methodology and the feasibility, acceptability and validity as a dietary assessment method in young people. Five databases were searched from January 2008 to September 2021 for studies including healthy young people aged 16–30 years and used mEMA for obtaining dietary intake data, food consumption behaviours and/or contextual factors. Data on the method used to administer mEMA, compliance with recording and validation were extracted. A total of 46 articles from 39 independent studies were included, demonstrating a wide variation in mEMA methods. Signal-contingent prompting (timed notification to record throughout the day) was used in 26 studies, 9 used event-contingent (food consumption triggered recordings), while 4 used both. Monitoring periods varied studies reported a compliance rate of 80% or more. Two studies found mEMA to be burdensome and six reported mEMA as easy to use. Most studies (31/39) reported using previously validated questions. mEMA appears to be a feasible and acceptable methodology to assess dietary intake and food consumption in near real time.

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“…92 Using EMA allows for better evaluation of withinperson changes, which in chronic conditions such as diabetes could provide valuable information for the people living with them, health-care providers and researchers. 93 A recent review of studies using EMA in people with diabetes to assess stress, anxiety, and depression showed that increases in those parameters predicted reductions in self-care behaviors 93 , suggesting that, despite limited research (only 10 studies included), EMA has potential clinical utility for diabetes care to measure sleep and circadian rhythm. However, we should make sure that the use of such technologies does not widen health inequalities since these technologies might not be widely available to all who may need them.…”

mentioning

confidence: 99%

Sleep and Circadian Rhythm Disturbances in Diabetes: A Narrative Review

Rutters¹,

Nefs²

2022

DMSO

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Sleep and circadian rhythm disturbances are less-known risk factors for the development and suboptimal outcomes of diabetes. The goal of this narrative review is to highlight the importance of sleep and circadian rhythm disturbances in the development and outcomes of type 1 diabetes (T1D) and type 2 diabetes (T2D), assess current treatment options and the possible mediating mechanisms. We performed a literature search using PubMed and selected relevant English and Dutch papers. Disturbances of sleep and circadian rhythm are common in people with diabetes. They are associated with an increased risk of developing T2D as well as with suboptimal diabetes outcomes (including higher HbA 1c levels and reduced quality of life) for T1D and T2D. Preliminary data suggest that treatment of sleep and circadian rhythm disturbances could improve diabetes outcomes in people with T1D and T2D. Finally, the association with medical parameters appears to be mediated by disturbance in hormones, and by suboptimal self-care including forgetting or postponing glucose monitoring or medication use as well as higher consumption of high fat/high sugary foods. Diabetes may also disturb sleep, for example through nocturnal hypoglycemia and nocturia. We concluded that sleep and circadian rhythm disturbances are closely linked with diabetes. More attention to sleep in regular diabetes care is warranted, while further research is needed on treatment of sleep and circadian rhythm disturbances in the prevention of diabetes and its suboptimal outcomes.

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Ecological momentary assessment for health behaviors and contextual factors in persons with diabetes: A systematic review

Cited by 8 publications

References 48 publications

The role of mental disorders in precision medicine for diabetes: a narrative review

The role of mental disorders in precision medicine for diabetes: a narrative review

The Use of Mobile-Based Ecological Momentary Assessment (mEMA) Methodology to Assess Dietary Intake, Food Consumption Behaviours and Context in Young People: A Systematic Review

Sleep and Circadian Rhythm Disturbances in Diabetes: A Narrative Review

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