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(220) Evaluation of the Effects of Pain and Depression on the Physical Functioning of Continuing Care Retirement Community Residents: Implications for the Treatment of Pain in Older Individuals

2008· article· en· W2121332594 on OpenAlexaboutno aff
Jana Mossey, Rollin M. Gallagher

Bibliographic record

VenuePain Medicine · 2008
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsDepression (economics)MedicineGerontologyPhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

Chronic pain is a major obstacle to a satisfying old age. With 35 million persons over age 65 in the U.S., and the number projected to double by 2030, chronic pain in the elderly is becoming a significant public health problem. A longitudinal study of 228 independently living retirement community (CCRC) residents was conducted to explore the relationships between pain, depression, and functional disability. The sample was predominantly age 75–84, the majority were female, and most had completed college. Self-report measures of pain (adaptation of McGill Pain Questionnaire), depression (Geriatric Depression Scale (GDS), and physical functioning (Self-reported physical performance, ADL, IADL, and 3 meter walking speed) were assessed. 79% of the sample reported pain within the past 2 weeks. 50% of these indicated pain limited their activities. Sub-threshold or major depression was diagnosed in 39%, and almost 23% reported both activity limiting pain and sub-threshold or more severe depression while 13% reported freedom from pain and depressive symptoms. For analyses, individuals in the worst quartiles of functional performance and walking speed at baseline were contrasted to all others; for ADL and IADL, those needing help were compared to those independent in activities. In univariate analyses, pain and depression were strongly related to physical performance; depression was related to ADL and walking speed. Multivariate analyses revealed an interaction effect in which the effects of pain depended on depression level. Individuals reporting activity limiting pain and elevated depressive symptoms, sub-threshold, or major depression were over 7 times more likely than non-depressed persons to be in the worst physical performance quarterly. This finding is statistically significant (P < 0.001). While pain and depression affect physical performance, depressive symptoms rather than pain appear more critical. When seeing older patients with pain complaints, thorough evaluation for and treatment of depressive symptoms and disorders are essential.

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)0.007
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.011
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)0.0000.000

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 head0.038
GPT teacher head0.340
Teacher spread0.302 · 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

Citations2
Published2008
Admission routes1
Has abstractyes

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