Coping profiles across adulthood: findings from a 3-wave longitudinal study using latent profile transition analysis
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: The use of various coping strategies has important impacts on individuals' health and well-being. However, most of the coping literature continues to use variable-centred approaches that ignore unique within-person interactions among coping strategies, as well as change in these interactions over time. The present study sought to address these gaps by identifying coping profiles representing distinct interactions between a set of coping strategies and examining the stability of these profiles over time. DESIGN AND METHODS: The study used data from a large community sample of Canadians (N = 1,372) who completed the short form for the Coping Inventory for Stressful Situations (CISS-SF) scale at three time-points or waves over 5 years. Latent profile transition analysis (LPTA) was used to identify latent profiles and then examine the stability of the profiles over time. RESULTS: LPTA revealed three distinct coping profiles: Engaged, Avoidance-Oriented, and Disengaged. All coping profiles showed relatively strong stability across the three waves, with Engaged coping being the most stable over time. CONCLUSIONS: These findings have important implications for future coping research using a person-centred approach, including for the identification of individuals at risk for poor life outcomes due to reliance on these coping profiles.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".