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Record W2103283353 · doi:10.1192/bjp.187.1.35

Physical health and depressive symptoms in older Europeans

2005· article· en· W2103283353 on OpenAlexfundno aff
Arjan W. Braam, Martin Prince, Aartjan T.F. Beekman, Philippe Delespaul, Michael Dewey, Sandra W. Geerlings, Sirkka‐Liisa Kivelä, Brian Lawlor, H. Magnússon, I. Meller, Karine Pérès, Friedel M. Reischies, Marc Roelands, Robert A. Schoevers, P. Saz, Ingmar Skoog, Cesare Turrina, Ann Versporten, J. R. M. Copelan

Bibliographic record

VenueThe British Journal of Psychiatry · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsnot available
FundersEuropean CommissionVrije Universiteit AmsterdamMcGill University
KeywordsDepression (economics)Depressive symptomsAssociation (psychology)Physical healthGerontologyMedicinePsychologyMental healthPsychiatryDemographyAnxiety

Abstract

fetched live from OpenAlex

BACKGROUND: Associations between physical health and depression are consistent across cultures among adults up to 65 years of age. In later life, the impact of physical health on depression is much more substantial and may depend on sociocultural factors. AIMS: To examine cross-national differences in the association between physical health and depressive symptoms in elderly people across western Europe. METHOD: Fourteen community-based studies on depression in later life in nine western European countries contributed to a total study sample of 22 570 respondents aged 65 years and older. Measures were harmonized for depressive symptoms (EURO-D scale), functional limitations and chronic physical conditions. RESULTS: In the majority of the participating samples, the association of depressive symptoms with functional disability was stronger than with chronic physical conditions. Associations were slightly more pronounced in the UK and Ireland. CONCLUSIONS: The association between physical health and depressive symptoms in later life is consistent across western Europe.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.316
Teacher spread0.306 · 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 source (direct Gemma or distilled Codex), 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

Citations176
Published2005
Admission routes1
Has abstractyes

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