| Literature DB >> 33262190 |
Ruwei Hu1, Nan Hu2,3,4, Ruqing Liu5, Leiyu Shi6, Jingrong Shi7, Li Ling8.
Abstract
OBJECTIVES: To assess the relationship between occupational health and safety (OH&S)-related behaviours of migrating workers in China and their knowledge regarding OH&S laws and regulations (L&Rs).Entities:
Keywords: education & training (see medical education & training); epidemiology; health & safety; public health
Year: 2020 PMID: 33262190 PMCID: PMC7709500 DOI: 10.1136/bmjopen-2020-040143
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Individual demographic, migration, and work characteristics and OH&S behaviours
| Variables | N (%)/mean±SD | Variables | N (%) |
| Age | 31.3±9.4 | ‘Hukou’ | |
| Gender | Urban | 239 (18.6) | |
| Male | 708 (55.2) | Rural | 1043 (81.4) |
| Female | 574 (44.8) | Migration status | |
| Marital status | Non-migrant | 343 (26.8) | |
| Married | 786 (61.3) | Migrant | 939 (73.2) |
| Non-married | 496 (38.7) | Local residency | |
| Education | <1 year | 262 (20.4) | |
| Primary school | 84 (6.6) | 1–3 years | 231 (18.0) |
| Junior high | 615 (48.0) | >3 years | 789 (61.6) |
| Senior high | 477 (37.2) | Monthly income (RMB | |
| ≥College | 106 (8.3) | <2000 | 630 (49.1) |
| 2000–3000 | 483 (37.7) | ||
| Change of work place | >3000 | 169 (13.2) | |
| No | 368 (28.7) | ||
| Yes | 914 (71.3) | Law1 | |
| Access to hazardous chemicals at work | ≤1 | 936 (73.0) | |
| No | 384 (30.0) | 2–3 | 346 (27.0) |
| Yes | 898 (70.0) | Law2 | |
| Daily work hours | ≤1 | 449 (35.0) | |
| ≤8 hours | 624 (48.7) | 2–3 | 833 (65.0) |
| >8 hours | 658 (51.3) | Law3 | |
| ≤1 | 453 (35.3) | ||
| 2–3 | 829 (64.7) | ||
OH&S, occupational health and safety.
ORs* and their 95% CIs for the association between each of the three behaviours and each of the three legal knowledge scores from multivariable logistic models
| Seeking OD dx/Trt | Wearing mask at work | Wearing gloves at work | |
| Law1† | |||
| Unadjusted | 3.19 (2.19 to 4.65) | 1.29 (1.01 to 1.66) | 1.47 (1.12 to 1.92) |
| Adjusted | 2.02 (1.33 to 3.07) | 0.88 (0.65 to 1.20) | 1.02 (0.75 to 1.39) |
| Law2‡ | |||
| Unadjusted | 3.81 (2.25 to 6.43) | 1.59 (1.25 to 2.02) | 1.57 (1.23 to 1.99) |
| Adjusted | 2.89 (1.65 to 5.09) | 1.20 (0.90 to 1.60) | 1.07 (0.85 to 0.93) |
| Law3§ | |||
| Unadjusted | 2.87 (1.77 to 4.66) | 1.27 (1.00 to 1.61) | 1.63 (1.28 to 2.07) |
| Adjusted | 2.25 (1.34 to 3.77) | 1.00 (0.75 to 1.33) | 1.24 (0.93 to 1.64) |
*ORs from univariable (unadjusted) and multivariable (adjusted) logistic model adjusted for age, gender, marital status, education, migration status, ‘Hukou’ status, time as a local resident, whether the worker has changed his/her work, working hours, whether the worker was exposed to toxic chemicals during work and the survey factory.
†Law1= Law of Occupational Disease Prevention and Treatment.
‡Law2= Regulations on Safe Management of Dangerous Chemicals and Regulations on Labor Protection for Using Toxic Substances in Workplace.
§Law3= Work-Related Injury Insurance Regulations.
dx/Trt, diagnosis and treatment; OD, occupational disease.