title: Childhood agricultural injuries: an update for clinicians.
abstract: Every three days a child dies in an agriculture-related incident, and every day 45 children are injured in the United States. These tragedies should not be regarded as "accidents," as they often follow predictable and preventable patterns. Prevention is not only possible, but vital, since many of these injuries are almost immediately fatal. Major sources of fatal injuries are machinery, motor vehicles, and drowning. Tractor injuries alone account for one-third of all deaths. The leading sources of nonfatal injuries are structures and surfaces, animals (primarily horses), and vehicles (primarily all-terrain vehicles [ATVs]). Children living on farms are at a higher risk than hired workers, and are unprotected by child labor laws. Preschool children and older male youth are at the highest risk for fatal injury, while nonfatal injury was most common among boys aged 10-15 years. Multiple prevention strategies have been developed, yet economic and cultural barriers often impede their implementation. Educational campaigns alone are often ineffective, and must be coupled with re-engineering of machines and safety devices to reduce fatalities. Legislation has the potential to improve child safety, yet political and economic pressures often prohibit changes in child labor laws and mandated safety requirements. Clinicians play a pivotal role in injury prevention, and should actively address common rural risk-taking behaviors as part of the routine office visit in order to help prevent these tragedies.
authors: Marshfield Clinic Pediatric Residency, Department of Pediatrics, Marshfield, WI 54449, USA. wright.suzanne@marshfieldclinic.org
authors: Suzanne
authors: S
authors: Wright
authors: Barbara
authors: B
authors: Marlenga
authors: Barbara C
authors: BC
authors: Lee
mesh_terms: D000293:Adolescent; D000383:Agriculture / Q000706:statistics & numerical data*; D002648:Child; D017281:Cost of Illness; D019988:Children with Disabilities / Q000706:statistics & numerical data; D005192:Family Health; D006801:Humans; D001523:Mental Disorders / Q000209:etiology; D011159:Population Surveillance; D012307:Risk Factors; D012423:Rural Health / Q000706:statistics & numerical data*; D014481:United States / Q000453:epidemiology; D014947:Wounds and Injuries / Q000453:epidemiology / Q000209:etiology* / Q000517:prevention & control / Q000523:psychology