The Association Between Noncancer Pain, Cognitive Impairment, and Functional Disability: An Analysis of the Canadian Study of Health and Aging
Bibliographic record
Abstract
BACKGROUND: Noncancer pain and cognitive impairment affect many older adults and each is associated with functional disability, but their combined impact has yet to be rigorously studied. METHODS: This is a cross-sectional analysis of the Canadian Study of Health and Aging. Pain was collapsed from a 5-point to a dichotomous scale (no and very mild vs moderate and greater). Cognitive status was dichotomized from the Modified Mini-Mental State Examination (0-100) to no (>77) or mild-moderate (77-50) impairment. Five Instrumental Activities of Daily Living (IADL) and seven Activities of Daily Living (ADL) were self-rated as "accomplished without any help" (0), "with some help" (1), or "completely unable to do oneself" (2) and then summed to create a composite score of 0-10 and 0-14, respectively. Multivariate linear regression analysis was conducted to determine the associations between self-reported functional status with moderate or greater pain, cognitive impairment, and the interaction of the two. RESULTS: A total of 5,143 (90.2%) participants were eligible, 1,813 (35.6%) reported pain at a moderate intensity or greater and 727 (14.3%) were cognitively impaired. The median IADL and ADL summary scores increased among the pain and cognition categories in the following order: no pain and cognitively intact (0.63 SD 1.24, 0.23 SD 0.80), pain and cognitively intact (1.18 SD 1.69, 0.57 SD 1.27), no pain and cognitively impaired (1.64 SD 2.22, 0.75 SD 1.57), and pain and cognitively impaired (2.27 SD 2.47, 1.35 SD 2.09), respectively. Multivariate linear regression found IADL summary scores were associated with pain, coefficient .17 (95% confidence interval [CI] 0.07-0.26), p < .01; cognitive impairment, coefficient .67 (95% CI 0.51-0.83), p < .01; and an interaction effect of pain with cognitive impairment, coefficient .24 (95% CI 0.01-0.49), p = .05. ADL summary scores were associated with pain coefficient .10 (95% CI 0.04-0.17), p < .01 and cognitive impairment, coefficient .29 (95% CI 0.19-0.39), p < .01, but had a nonsignificant interaction term, coefficient .12 (95% CI -0.03 to 0.29), p = .12. CONCLUSIONS: Noncancer pain and cognitive impairment are independently associated with IADL and ADL impairment and IADL impairment is even greater when both conditions are present.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".