| Literature DB >> 34657200 |
Laliv Egozi1, Nitzan Reiss-Hevlin2, Rana Dallasheh2, Asher Pardo2.
Abstract
OBJECTIVES: This study aimed to examine the safety and health hazards of motorized couriers and investigate working conditions and driving behavior possibly associated with involvement in road accidents while driving motorcycles or cars. In light of the outbreak of COVID-19, the study was aimed to explore factors that affect the couriers' behaviors related to decreasing the risk of contracting an infectious disease.Entities:
Keywords: Accident; COVID-19; Couriers; Health; Musculoskeletal; Safety
Mesh:
Year: 2021 PMID: 34657200 PMCID: PMC8520581 DOI: 10.1007/s00420-021-01795-8
Source DB: PubMed Journal: Int Arch Occup Environ Health ISSN: 0340-0131 Impact factor: 2.851
Working hours between couriers with one or multiple jobs
| Shift timing | Longer than 8-h shifts | Weekly working hours | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Morning | Afternoon | Night | Varies | < 35 | 35–42 | 43–50 | > 50 | ||
| One job | 23% | 22% | 5% | 50% | 17.6% | 43% | 36% | 15% | 6% |
| Two + jobs | 16% | 21% | 6% | 57% | 12.3% | 31% | 31% | 21% | 17% |
Prevalence of working conditions
| Variable | % |
|---|---|
| Package weight | |
| < 10 kg | 77 |
| 10–25 kg | 19 |
| > 25 kg | 4 |
| Vehicle | |
| Bicycle or electric bicycle | 23 |
| Motorcycle | 21.5 |
| Car | 48.5 |
| Van | 6 |
| Other | 1 |
| Vehicle ownership | |
| Self | 61 |
| Company | 39 |
Prevalence of employee received benefits by type of employment
| Salaried employee (%) | “Platform” partial employment (%) | Self-employed (%) | Total (%) | |
|---|---|---|---|---|
| Sick days | 63 | 21 | 10 | 50 |
| Paid vacation days | 59 | 15 | 10 | 46 |
| Accident insurance coverage | 65 | 29 | 20 | 54 |
Prevalence of musculoskeletal pains for driving vehicle
| Not at all (%) | Rarely (%) | Once a week (%) | Once a shift (%) | A few times a shift (%) | |
|---|---|---|---|---|---|
| Two-wheels ( | |||||
| Shoulders and upper back | 38 | 38 | 11 | 5 | 8 |
| Lower back | 35 | 40 | 8 | 8 | 9 |
| Neck and nape | 39 | 41 | 8 | 5 | 7 |
| Arms and hands | 47 | 28 | 10 | 9 | 6 |
| Legs and knees | 44 | 26 | 10 | 10 | 10 |
| Car or van ( | |||||
| Shoulders and upper back | 32 | 39 | 9 | 13 | 7 |
| Lower back | 26 | 39 | 9 | 14 | 12 |
| Neck and nape | 32 | 35 | 17 | 8 | 8 |
| Arms and hands | 30 | 38 | 9 | 11 | 11 |
| Legs and knees | 33 | 35 | 12 | 10 | 10 |
Fig. 1Stress partially mediates the relationship between shift duration and driving while feeling unwell
Fig. 2Predictors of involvement in road accidents and musculoskeletal pains
Factors related to couriers’ compliance with COVID-19 prevention regulations
| β | |||||
|---|---|---|---|---|---|
| Constant | 0.229 | 0.308 | 0.744 | 0.458 | |
| Age | 0.033 | 0.018 | 0.112 | 1.846 | 0.066 |
| Number of contacts during a shift | 0.035 | 0.028 | 0.078 | 1.267 | 0.206 |
| Compliance of other people with regulations | 0.372 | 0.064 | 0.359 | 5.787 | < 0.001 |
| Employer provides COVID-19 protective equipment | 0.058 | 0.065 | 0.058 | 0.901 | 0.369 |
| Employer provides benefits (sick days, days off) | 0.094 | 0.043 | 0.140 | 2.174 | 0.031 |
| Personal fear of infection | 0.094 | 0.041 | 0.140 | 2.296 | 0.023 |
Dependent variable: level of couriers’ compliance with COVID-19 prevention regulations
*Significant for p <0 .05