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Record W1965188249 · doi:10.2466/pr0.96.1.133-140

Women with Low Activity are at Increased Risk for Depression

2005· article· en· W1965188249 on OpenAlexaff
Grant L. Iverson, Dana S. Thordarson

Bibliographic record

VenuePsychological Reports · 2005
Typearticle
Languageen
FieldPsychology
TopicMental Health Research Topics
Canadian institutionsRiverview HospitalUniversity of British Columbia
Fundersnot available
KeywordsDepression (economics)Beck Depression InventoryPsychologyChecklistPhysical activityYoung adultMedicinePsychiatryPhysical therapyDevelopmental psychologyAnxiety

Abstract

fetched live from OpenAlex

This study assessed if there are sex differences in the relationship between amount of physical activity and depression in primary care outpatients. Participants (N= 111), referred by their family physicians, wore a heart-rate monitor for 24 hr. The two-lead monitor collected the number of beats per minute and minute-averaged horizontal movement data, e.g., from walking or moving about. All participants underwent structured clinical interviewing using the Structured Clinical Interview for DSM-IV and completed the Beck Depression Inventory-II and the Symptom Checklist-90-Revised. For the total sample, patients with low activity were more likely to be depressed (p<.006). Adults under the age of 45 (n=85) with low activity were 7.4 times more likely to be depressed than young adults who showed normal activity. However, in adults 45 or older, there was no relationship between activity and depression. In a subsample of women under the age of 55 (n=70), 91% of the low activity group and 39% of the normal activity group were diagnosed with depression (p<.003). Women in the low activity group were 15.7 times more likely to be depressed than women in the normal activity group. In contrast, there was no relationship between activity and depression in men. Additional research is needed to assess whether low activity is a potent predictor of depression in women.

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 categoriesInsufficient 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 score0.389
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.073
GPT teacher head0.440
Teacher spread0.366 · 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

Citations5
Published2005
Admission routes1
Has abstractyes

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