Stress, work and mental health: a global perspective
Bibliographic record
Abstract
BACKGROUND: The United Nations, WHO and the World Bank have called the current prevalence rate of neuro-psychiatric disorder approaches of 1 in 4 individuals worldwide and 'unheralded public health crisis'. Rates are driven by an early onset, high impairment and high chronicity of these disorders. Most importantly, detection and treatment rates are low, estimated at les than 10% worldwide resulting in 500 million people underserved. The related economic costs soared in 1999 to 120 billion dollars in Europe and North America, with over 60 billion dollars assigned to stress related disorders. Contributing factors are bio-psycho-social and include rapid social change as well as the time compression of modern life resulting in the experience of increased work-life stress that parallels a decade long intensification of activities in the workplace. Coping with the requirements of the new economy of mental performance has lagged behind at many individual and social levels as we cling to adjustments made during the industrial economy of the last century. A climate of transition, and more recently, terror and fear have stressed the landscape of mental health and work already ravaged by the destructive forces of stigma. AIM: This presentation will examine the other side of prosperity from the point of view of stress in the workplace as two global problems converge at this time in history, the escalation of neuro-psychiatric disorders and the increasing dependence on the mental faculties of the world's citizens. In this paper we also discuss how the international community can work together to help reduce the burden of mental disorders worldwide and sketch the implications for research and policy. CONCLUSIONS: Ultimately the media will need to be enlisted to educate the public on the value of investments in mental health.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".