| Literature DB >> 32300581 |
Yujie Wang1, Hong Chen1, Bei Liu1, Menghua Yang1, Qianyi Long2.
Abstract
Background: Effective occupational health and safety management (OHSM) is important to employee health, enterprise sustainability, and social stability. However, scientific research into OHSM lags behind practice, and contextualizing OHSM research from the perspective of its historical evolution is urgently required.Entities:
Keywords: bibliometric analysis; mapping knowledge domains analysis; occupational health and safety management; review; theme evolution
Mesh:
Year: 2020 PMID: 32300581 PMCID: PMC7142232 DOI: 10.3389/fpubh.2020.00081
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1PRISMA diagram.
Figure 2Data processing flowchart.
Figure 3Annual number distribution of selected articles related to occupational health and safety management.
Figure 4Regional distribution of occupational health and safety management research.
Figure 5Research field distribution of occupational health and safety management.
Figure 6List of 15 Journals that have published at least forty research articles.
Top 20 high-frequency keywords related to OSHM.
| 1 | Occupational stress | 290 | 11 | Safety culture | 83 |
| 2 | Workplace | 138 | 12 | Mental health | 71 |
| 3 | Risk management | 136 | 13 | Return to work | 68 |
| 4 | Prevention | 130 | 14 | Safety climate | 61 |
| 5 | Risk assessment | 129 | 15 | Quality of life | 58 |
| 6 | Musculoskeletal disorders | 128 | 16 | Job satisfaction | 56 |
| 7 | Intervention | 125 | 17 | Low back pain | 53 |
| 8 | Rehabilitation | 108 | 18 | Occupational stress management | 50 |
| 9 | Occupational therapy | 102 | 19 | Health promotion | 48 |
| 10 | Occupational exposure | 92 | 20 | Intervention | 48 |
The keywords Occupational health and safety (n = 690) and Occupational health and safety management (n = 274) have been removed from the above table.
Figure 7Co-occurrence network map of high-frequency keywords.
Figure 8Time zone distribution of high-frequency keywords.
Figure 9Clustering map of high-frequency keywords.