Ecological Momentary Assessment of Self-Harm Thoughts and Behaviors: Systematic Review of Constructs From the Integrated Motivational-Volitional Model
Bibliographic record
Abstract
BACKGROUND: The integrated motivational-volitional model (IMV) is one of the leading theoretical models of suicidal thoughts and behavior. There has been a recent proliferation in the assessment of suicidal and nonsuicidal self-harm thoughts and behaviors (SHTBs) in daily life. OBJECTIVE: This systematic review synthesized evidence from ecological momentary assessment (EMA) studies in the SHTB literature to address the following questions: (1) Which constructs in the IMV model have been assessed using EMA, and how have they been assessed? (2) Do different constructs from the IMV model fluctuate in daily life? (3) What is the relationship between the different IMV constructs and SHTBs in daily life? METHODS: Consistent with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we conducted systematic searches of 5 databases-Web of Science, Embase, MEDLINE, PsycINFO, and Europe PMC Preprints-from inception to March 26, 2024. RESULTS: Our searches resulted in the inclusion and narrative synthesis of 53 studies across 58 papers. A total of 15 IMV constructs were measured using EMA across the included papers. The most frequently measured constructs were thwarted belongingness (24/58, 41% of the papers), future thinking (20/58, 34% of the papers), and perceived burdensomeness (16/58, 28% of the papers). The least frequently measured constructs were humiliation, social problem-solving, mental imagery, and perceived capability for suicide. None of the included papers measured memory biases, goals, norms, or resilience using EMA. Comparison of intraclass correlation coefficients (45/58, 78% of the papers) revealed moderate but inconsistent within-person variance across all the examined constructs. We found evidence (39/58, 67% of the papers) of concurrent associations between almost all constructs and SHTBs in daily life, with some evidence that entrapment, shame, rumination, thwarted belongingness, hopelessness, social support, and impulsivity are additionally associated with SHTBs in lagged (ie, longitudinal) relationships. CONCLUSIONS: Comparisons were hindered by variation in methodology, including the populations studied, EMA sampling scheme, operationalization of IMV constructs and SHTBs, and statistical approach used. Our findings suggest that EMA studies are a useful methodology for examining risk factors for SHTBs; however, more research is needed for some IMV constructs. Quality assessment suggested several areas for improvement in the reporting of EMA studies in this field. TRIAL REGISTRATION: PROSPERO CRD42022349514; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=349514.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.036 | 0.143 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.009 | 0.013 |
| Bibliometrics | 0.017 | 0.015 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".