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Record W4377012074 · doi:10.1037/adb0000926

Measuring and understanding “quality of life” among emerging adults in a substance use program.

2023· article· en· W4377012074 on OpenAlexafffund
Jillian Halladay, Liah Rahman, Madeleine Luvisa, Mackenzie Mawson, Myra Massey, Jacinda Burns, Marina Kennedy, Kyla King, Kalia Douglas-Micallef, Andre Carter, Victoria Stead, Catherine McCarron, Saba Khoshroo, Emily MacKillop, Holly Raymond, Liam Younger, Kiran Punia, Michelle Venantius, Mareena Mathew, James MacKillop

Bibliographic record

VenuePsychology of Addictive Behaviors · 2023
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsSt. Joseph’s Healthcare HamiltonMcMaster University
FundersCanadian Institutes of Health Research
KeywordsPsychologySubstance useQuality of life (healthcare)Substance abuseQuality (philosophy)Developmental psychologyClinical psychologyApplied psychologyPsychotherapist

Abstract

fetched live from OpenAlex

OBJECTIVE: This work focuses on understanding quality of life and evaluating a brief quality of life measure in an outpatient emerging adult (17-25 years of age) substance use program. METHOD: = 100) and (b) qualitative interviews with 12 emerging adults in the program. The study was codesigned, cofacilitated, and cointerpreted with emerging adults with lived experience. RESULTS: < .001) at the ∼12-week follow-up demonstrating program effects and sensitivity to change. Factor analysis suggested unidimensionality of the measure and internal consistency was high (ω = 0.81). MLT scores correlated in expected directions with other measures of quality of life, functioning, and mental health symptoms and demonstrated incremental validity in explaining variability in these measures over and above World Health Organization quality of life items. Emerging adults thought the five items (i.e., general well-being, day-to-day activities, relationships with friends, relationships with family, coping) generally captured the most important aspects of quality of life to them and had positive impressions regarding the use of this measure for measurement-based care. Other important aspects of quality of life included feeling a sense of meaning, purpose, motivation, and independence. CONCLUSION: Overall, the MLT demonstrated evidence of psychometric and content validity among emerging adults in substance use treatment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.588

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.568
GPT teacher head0.511
Teacher spread0.057 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2023
Admission routes2
Has abstractyes

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