Application of Ecological momentary assessment (EMA) in assessing the relationship between affect and movement behaviors among people with mood disorders: a scoping review
Why this work is in the frame
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Bibliographic record
Abstract
Ecological momentary assessment (EMA) enables the generation of intensive longitudinal data to examine dynamic relationships between variables. This study aims to describe the use of EMA in assessing dynamic associations between movement behaviors (physical activity, sedentary behavior, and sleep) and affective experiences among people with affective disorders. This scoping review searched peer-reviewed journal articles in eight electronic databases in both June 2022 and October 2023. Twenty-two studies were identified. Affective constructs were inconsistently implemented conceptually and operationally. Most studies (4/5) comparing compliance rates between mood-disordered participants and healthy controls found no significant differences, supporting EMA feasibility for individuals with affective disorders. Sleep quality was consistently linked to higher positive affect, lower negative affect, and mood enhancements. Physical activity (6/8 studies) was consistently associated with mood enhancements or improved positive affect, but not negative affect (2/3 studies). One study investigated affect and an indicator of sedentary behavior. Our review highlights EMA feasibility for investigating movement behaviors and affective experiences among people with affective disorders. Understanding these associations may contribute to informing clinical management of affective disorders and developing behavioral interventions such as just-in-time adaptive interventions. However, enhancing EMA methodology design and reporting is necessary to improve study reliability and validity.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it