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Record W2099036890 · doi:10.25011/cim.v36i4.19951

A unifying framework for depression: Bridging the major biological and psychosocial theories through stress

2013· review· en· W2099036890 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueClinical and investigative medicine · 2013
Typereview
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsChildren’s Health Research InstituteLondon Health Sciences CentreLawson Health Research InstituteUniversity of CalgarySouth Health CampusWestern University
Fundersnot available
KeywordsPsychosocialPsychological interventionPsychologyDepression (economics)PopulationSocioeconomic statusPsychotherapistClinical psychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

Several mechanisms for the development of depression have been proposed, and a comparative examination reveals considerable overlap. This paper begins by summarizing the conclusions drawn in the literature on the major biological theories: HPA-axis hyperactivity, the monoamine theory, the cytokine hypothesis/ macrophage theory, and structural changes to relevant brain regions and neurons. It then discusses the role of psychosocial stress as a bridge between the pathophysiology of depression and its predominantly psychosocial risk factors, touching upon theories offered in psychology and in population health. This paper further proposes a unifying framework which integrates the major theories. The multiple systems involved, and the directional complexity among them, likely help to explain the wide-ranging symptoms associated with depression, and the wide variety of comorbid medical conditions. They may also contribute to challenges in treatment, the diversity in symptoms and treatment outcomes among individuals, and the high rates of symptom persistence and relapse. The apparent bi-directionality of associations may suggest the existence of positive-feedback loops which aggravate symptoms; however, further bench research is required to confirm such phenomena. A better understanding of these interweaving associations is warranted. Additionally, given the significant influence of socioeconomic and psychosocial factors on the aetiology of depression, population-level interventions that address the social determinants of health are required. Current individual-level pharmacologic approaches are designed to treat pathophysiology once it is underway, and current individual-level non-pharmacologic interventions (such as talk therapy) are designed to moderate the relationship between psychosocial stress and pathophysiology. In contrast, a key strategy for primary prevention lies in population-level interventions that address the predominantly social causes of one of depression's most notable risk factors: chronic psychosocial stress.

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.

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)0.000
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.908
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0010.017
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.431
GPT teacher head0.473
Teacher spread0.042 · 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