Exploring the relationship between meaning in life and recovery in people with serious mental illness (SMI): A latent profile analysis.
Bibliographic record
Abstract
OBJECTIVE: Meaning in life is crucial for the recovery of individuals with serious mental illness (SMI). The aim of the present study was to identify profiles of meaning in life among individuals with SMI based on the presence of meaning and search for meaning and to examine their associations with recovery. METHODS: Latent profile analysis for a sample of 207 individuals with SMI in South Korea was employed to identify the latent profile of meaning in life using the presence of meaning and searching for meaning as an indicator. Next, multinomial logistic regression was used to examine the relationship between demographic variables and latent profiles. Last, categorical regression was applied to explore the association of latent profiles with recovery. RESULTS: Latent profile analysis revealed three distinctive profiles: meaning diffusion (10.1%), meaning moratorium (27.5%), and meaning achievement (62.3%). Among demographic variables, only age had a negative effect. Compared with meaning moratorium (reference group), meaning achievement positively predicted recovery, whereas meaning diffusion negatively predicted recovery. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: The finding could help psychiatric rehabilitation practitioners focus on helping individuals with SMI in promoting meaning in life for their recovery journey. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
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How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".