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Record W2971282862

[Mental Health: Concepts, Measures, Determinants].

2017· article· en· W2971282862 on OpenAlexaffabout
Isabelle Doré, Jean Caron

Bibliographic record

VenuePubMed · 2017
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsDouglas Mental Health University InstituteCentre Hospitalier de l’Université de MontréalUniversity of Toronto
Fundersnot available
KeywordsMental healthConceptualizationPsychologyMental illnessQuality of life (healthcare)Middle Eastern Mental Health Issues & SyndromesMental health lawPublic healthApplied psychologyClinical psychologyPsychiatryMedicinePsychotherapistComputer science
DOInot available

Abstract

fetched live from OpenAlex

Objectives This article aims to situate the concept of mental health in a historical perspective. This article presents the most commonly used measurement tools in Canada and elsewhere in the world to assess specific and multiple dimensions of mental health; when available, psychometric properties are discussed. Finally, research findings on quality of life and mental health determinants are presented.Methods A literature review of concepts, measurement and determinants of mental health is presented in this paper. The selection of measurement scales presented is based on the findings of the research reports conducted by the second author, an expert on mental health measures, for Health Canada and Statistics Canada.Results Mental health is more than the absence of mental illness; rather it is a state of complete well-being, which refers to our ability to enjoy life and deal with the challenges we face. Accordingly, mental health and mental illness are not extremes of the same continuum, but distinct yet correlated concepts. The traditional conceptualization suggesting that mental health represents simply the absence of mental illness has been replaced, in the last few decades, by a more holistic characterization, which directly concerns public health. The components of mental health include emotional well-being/quality of life (QOL) and psychological and social well-being. Mental health influences the personal and social functioning of individuals, justifying the importance of intervening upstream to promote mental health. Specific scales are relevant for obtaining a detailed measure of one aspect of well-being in particular (emotional/quality of life, psychological or social well-being); however, to account for the global mental health status, measurement tools that integrate all three forms of well-being (emotional, psychological and social) should be privileged. A diversity of determinants at the individual, social and neighbourhood levels influence quality of life and well-being. These determinants are interrelated, and the complex and cumulative interaction of these determinants involves the use of comprehensive strategies for mental health promotion.Conclusion We hope this article provides the reader with information to become familiar with the concepts and tools that aim at informing research, public health surveillance, public policy and programs for mental health promotion.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.155
GPT teacher head0.474
Teacher spread0.319 · 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.

Study designOther design
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

Citations20
Published2017
Admission routes2
Has abstractyes

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