| Literature DB >> 31122905 |
Sally Hargreaves1, Kieran Rustage2, Laura B Nellums2, Alys McAlpine3, Nicola Pocock3, Delan Devakumar4, Robert W Aldridge5, Ibrahim Abubakar4, Kristina L Kristensen6, Jan W Himmels2, Jon S Friedland2, Cathy Zimmerman3.
Abstract
BACKGROUND: Globally, there are more than 150 million international migrant workers-individuals who are employed outside of their country of origin-comprising the largest international migrant group. A substantial number of migrants work in hazardous and exploitative environments, where they might be at considerable risk of injury and ill health. However, little data on occupational health outcomes of migrant workers exist, with which to inform global policy making and delivery of health services.Entities:
Mesh:
Year: 2019 PMID: 31122905 PMCID: PMC6565984 DOI: 10.1016/S2214-109X(19)30204-9
Source DB: PubMed Journal: Lancet Glob Health ISSN: 2214-109X Impact factor: 38.927
Figure 1Study selection
Characteristics of studies included in the systematic review of occupational health outcomes among international migrant workers
| Agudelo-Suárez et al | 2009 | Spain | Cross-sectional | Unknown | Mixed outcomes | 7 |
| Al-Maskari et al | 2011 | United Arab Emirates | Cross-sectional | Construction and trade; domestic, retail, and services | Depression and suicidal behaviour | 8 |
| Anjara et al | 2017 | Singapore | Cross-sectional | Domestic, retail, and services | Stress, health, and quality of life | 7 |
| Arcury et al | 2016 | USA | Cross-sectional | Agricultural | Mixed outcomes | 6 |
| Arcury et al | 2012 | USA | Cross-sectional | Agricultural | Musculoskeletal discomfort, working while injured, and depression | 6 |
| Arici et al | 2016 | Italy | Cross-sectional | Domestic, retail, and services; manufacturing and processing | Health inequalities due to work-related psychosocial risk factors | 3 |
| Baker and Chappelle | 2012 | USA | Cross-sectional | Agricultural | Mixed outcomes | 7 |
| Bener | 2017 | Qatar | Cross-sectional | Agricultural; construction and trade; domestic, retail and services | Self-reported general health | 6 |
| Brumitt et al | 2010 | USA | Cross-sectional | Agricultural | Musculoskeletal pain | 5 |
| Capasso et al | 2016 | Italy | Cross-sectional | Construction and trade; domestic, retail, and services; manufacturing and processing | Stress and subjective self-perceived health | 8 |
| Cartwright et al | 2014 | USA | Cross-sectional | Agricultural | Carpal tunnel syndrome | 7 |
| Palupi et al | 2017 | Taiwan | Cross-sectional | Domestic, retail, and services | Depressive symptoms, fatigue | 8 |
| Fernández-Esquer et al | 2015 | USA | Cross-sectional | Construction and trade; domestic, retail, and services | Self-reported injuries | 7 |
| Flunker et al | 2017 | USA | Cross-sectional | Agricultural | Pulmonary function and respiratory symptoms | 8 |
| Gao et al | 2014 | Hong Kong | Cross-sectional | Domestic, retail, and services | Oral or dental health | 7 |
| Harrigan et al | 2017 | Singapore | Cross-sectional | Unknown | Mental health | 6 |
| Joshi et al | 2011 | Qatar, Saudi Arabia, United Arab Emirates | Cross-sectional | Agricultural; construction and trade; domestic, retail, and services | General or mixed health outcomes | 6 |
| Korkmaz and Park | 2018 | South Korea | Cross-sectional | Construction and trade | Workplace injury or accidents | 7 |
| Lee et al | 2011 | South Korea | Cross-sectional | Unknown | Psychosocial factors and musculoskeletal disorders | 7 |
| Lee et al | 2014 | Singapore | Cross-sectional | Construction and trade | General or mixed health outcomes | 8 |
| Pichardo-Geisinger et al | 2014 | USA | Cross-sectional | Agricultural | Tinea pedis and onychomycosis infections | 7 |
| Pichardo-Geisinger et al | 2013 | USA | Cross-sectional | Agricultural | Dermatological conditions | 8 |
| Quach et al | 2013 | USA | Cross-sectional | Domestic, retail, and services | Nose, throat, and skin irritation, headaches and coughs associated with chemical exposure | 6 |
| Quandt et al | 2012 | USA | Cross-sectional | Agricultural | Eye and ocular injuries | 5 |
| Quandt et al | 2013 | USA | Cross-sectional | Agricultural | Mixed health outcomes | 5 |
| Quandt et al | 2014 | USA | Cross-sectional | Agricultural | Dermatological conditions and associated quality of life | 7 |
| Rathod | 2016 | USA | Cross-sectional | Construction and trade; domestic, retail, and services. | Mixed health outcomes | 8 |
| Riley et al | 2016 | USA | Cross-sectional | Domestic, retail, and services | Sleep frequency, duration, and quality | 6 |
| Sandberg et al | 2012 | USA | Cross-sectional | Agricultural | Excessive daytime sleepiness, depression, and musculoskeletal pain | 7 |
| Santos et al | 2014 | Malaysia | Cross-sectional | Manufacturing and processing | Musculoskeletal pain | 7 |
| Schulz et al | 2013 | USA | Cross-sectional | Agricultural | Musculoskeletal pain | 8 |
| Thetkathuek et al | 2017 | Thailand | Cross-sectional | Agricultural | Musculoskeletal pain | 7 |
| Soe et al | 2015 | Thailand | Cross-sectional | Manufacturing and processing | Musculoskeletal pain | 6 |
| Tomita et al | 2010 | Thailand | Cross-sectional | Manufacturing and processing | Musculoskeletal pain | 8 |
| Winkelman et al | 2013 | USA | Cross-sectional | Agricultural | Stress and depression | 5 |
| Zahreddine et al | 2013 | Lebanon | Cross-sectional | Domestic, retail, and services | Psychiatric morbidity | 7 |
Study quality was assessed using a nine point scale, whereby studies scoring 1–3 were defined low quality, 4–6 as average quality, and 7–9 as high quality.
Figure 2Forest plot of prevalence of having at least one reported occupational health outcome among international migrant workers
Figure 3Forest plot of prevalence of having at least one occupational accident or injury among international migrant workers