356 Workers age 55 and older working with pain
Bibliographic record
Abstract
Introduction The average worker in industrialised countries is ageing. The baby boomer generation (born 1946–1965) is gradually reaching retirement age. In Canada, the share of workers in the age 55+age group is expected to attain 24% in 2031. There is also a shortage of young workers to replace retirees. Although data suggest that at least one in five older workers suffers from chronic musculoskeletal pain, most will continue working despite pain. Very little is known about the factors contributing to or compromising the likelihood of these workers staying at work with pain. Methods An interpretive descriptive method was used to explore factors associated with staying at work with pain. A transdisciplinary conceptual model was created, based on literature from the fields of work rehabilitation, ergonomics and demographics. Semi-structured individual interviews were conducted. Inclusion criteria were: blue collar workers, musculoskeletal pain (excluding cancer pain) for 6 months or more, and working 28 hours weekly or more. Analysis was performed using themes from the conceptual model; intra- and inter-case analysis was conducted using qualitative data analysis software. Results Fifteen participants (7 women) were included, ages 55–70. They ranged from self-employed individuals to employees of large organisations, with half of them working in the private sector. Although all participants mentioned the importance of financial factors in their decision to stay at work, they did not generally consider it the main reason. For most, the perception of being useful, having peer recognition and feeling that work contributes to health were essential drivers for staying at work. Flexibility at work was deemed essential by all but took various forms. Discussion This study identified, for the first time, both personal and work-related factors associated with working in the presence of pain. These results will help in developing better strategies to keep ageing workers at work.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".