title: Injury among migrant workers in Changning district, Shanghai, China.
abstract: The objective of this study was to characterise the injury epidemic and injury prevention needs of migrant workers in Shanghai. Cluster random sampling was applied in selecting subjects in migrant gathering areas, and face-to-face interview survey was conducted in this study. In this survey, 1256 migrant workers were included, among which the injury incidence in last one year was 38.3%. The first four injuries were incised and penetrating injury (9.5%), falls (7.2%), traffic injury (6.3%) and burns (5.3%). The injury incidence of male workers was significantly higher than that of female workers (χ(2) = 22.7, P < 0.01). Electricians, safeguards and construction workers were at the highest risk of getting injured. About 60.7% of injury episodes happened at a residence. The longest period of absence from work was up to 3 months due to falls, while the highest medical expense was near 9999 CNY ($1464.2) caused by traffic injury. About 62.9% of migrant workers need services on injury prevention. It is concluded that compared with urban registered residents, migrant workers have significantly higher incidence of injury in Shanghai. Injury prevention services are in urgent demand among the migrant workers.
authors.affiliation: Changning Center for Disease Control and Prevention, Shanghai, 200051, PR China. xiaqinghua56@126.com
authors.forename: Q H
authors.initials: QH
authors.lastname: Xia
authors.forename: Y
authors.initials: Y
authors.lastname: Jiang
authors.forename: N
authors.initials: N
authors.lastname: Yin
authors.forename: J
authors.initials: J
authors.lastname: Hu
authors.forename: C J
authors.initials: CJ
authors.lastname: Niu
mesh_terms: D000058:Accidental Falls / Q000706:statistics & numerical data; D000062:Accidents, Occupational / Q000191:economics / Q000706:statistics & numerical data*; D000063:Accidents, Traffic / Q000706:statistics & numerical data; D000293:Adolescent; D000328:Adult; D002056:Burns / Q000453:epidemiology; D002681:China / Q000453:epidemiology; D060389:Construction Industry / Q000706:statistics & numerical data; D003430:Cross-Sectional Studies; D003625:Data Collection; D004522:Educational Status; D005260:Female; D006301:Health Services Needs and Demand; D006801:Humans; D015994:Incidence; D007407:Interviews as Topic; D008297:Male; D008875:Middle Aged; D060051:Occupational Injuries / Q000191:economics / Q000453:epidemiology* / Q000517:prevention & control; D018582:Sick Leave / Q000706:statistics & numerical data; D014171:Transients and Migrants / Q000706:statistics & numerical data*; D035862:Vulnerable Populations; D014950:Wounds, Penetrating / Q000453:epidemiology*; D055815:Young Adult