MétaCan
Menu
Back to cohort
Record W1630230934 · doi:10.1002/da.22101

ANXIETY AND 10-YEAR RISK OF INCIDENT AND RECURRENT DEPRESSIVE SYMPTOMATOLOGY IN OLDER ADULTS

2013· article· en· W1630230934 on OpenAlexaff
Olivier Potvin, Valérie Bergua, Joël Swendsen, Céline Meillon, Christophe Tzourio, Karen Ritchie, Jean‐François Dartigues, Hélène Amieva

Bibliographic record

VenueDepression and Anxiety · 2013
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsInstitut Universitaire en Santé Mentale de Québec
FundersInstitut National de la Santé et de la Recherche Médicale
KeywordsAnxietyDepression (economics)PsychologyPsychiatryClinical psychologyCenter for Epidemiologic Studies Depression ScalePopulationComorbidityLongitudinal studyDepressive symptomsMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: Anxiety has been shown to often precede depression in children and young adults. Only a small number of investigations have examined this form of comorbidity in older adults and the temporal relationship of these syndromes remains unclear. The objective was to verify whether trait anxiety predicts incident/recurrent depressive symptomatology in older adults independently of variables susceptible to explain this relationship in this population, such as cognitive complaints, subjective health, and baseline depressive symptoms. METHODS: A random sample of 4,649 individuals aged 65 years or older from the Three-City Study, a prospective longitudinal study with a 10-year follow-up, was used. Incident and recurrent depressive symptomatology were determined by Center for Epidemiological Studies Depression Scale cutoff scores. Anxiety was measured using the trait scale of the State-Trait Anxiety Inventory. Cox proportional hazards models were used to determine the independent risk of depressive symptomatology for baseline anxiety, cognitive complaints, subjective health, and depressive symptoms, adjusting for sociodemographic, mental health, and physical health covariates. RESULTS: Incident depressive symptomatology was independently predicted by baseline anxiety, depressive symptoms, cognitive complaints, and subjective health. Recurrent depressive symptomatology was independently predicted by baseline anxiety and depressive symptoms, but not by cognitive complaints and subjective health. Anxiety was associated with a higher risk of incident depressive symptomatology only in participants without a history of a major depressive episode, and with a higher risk of recurrent depressive symptomatology in men than in women. CONCLUSIONS: Trait anxiety constitutes an important independent risk factor for subsequent depressive symptomatology in older adults.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.274
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.009
GPT teacher head0.281
Teacher spread0.272 · 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 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

Citations27
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueDepression and AnxietySame topicAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesFrench-language works237,207