Changes in working conditions and health among dairy farmers in southern Sweden. A 14-year follow-up.
Bibliographic record
Abstract
The objective of this study was to describe and analyse the changes in working conditions and health among dairy farmers in Scania in southern Sweden during the period 1988-2002 by a repeat of a mail-in survey. Altogether, 83 % of the male and 90 % of the female dairy farmers reported some kind of symptoms in the musculoskeletal system during the 12 months prior to the 2002 questionnaire. This is an increase compared to the farmers in 1988. The highest significant changes were an increase of symptoms in the shoulder, neck and in the wrists/hands. The milkers reported most often incidental as well as persistent symptoms in the shoulders. The frequency of hip symptoms was significantly higher among those male milkers who had quit milking during the interim than for the active milkers in 1988. The milkers studied in 2002 had, on average, increased their working time per week, increased the number of cows milked as well as the use of more milking units. In 1988, almost all the milkers studied were working in tethering systems while in 2002 more than one quarter were working in loose-housing systems. The opinion among most of the farmers, both in 1988 and in 2002, regardless of age or sex, was that silage handling and the milking procedure were the most strenuous work operations. On the other hand, the milkers obtained their greatest pleasure from the actual milking job as well as from their work to promote the welfare of the animals. Unprofitability and great investment demands had a bearing on the retirement of milkers but, on the other hand, a high potential of the milkers could have continued 10-15 more years as dairy farmers if the work conditions had been better, e.g. associated with fewer health problems. Apart from the need for developing technical devices to facilitate the milking operation, further research is needed concerning the dairy farmers' well-being and quality of life, perceived stress, and leisure time activities and how these and similar factors influence the prevalence of musculoskeletal symptoms. Strategies for preventive and intervention measures must consider physical workplace factors as well as personal and lifestyle characteristics.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".