title: Measuring hazardous work and identifying risk factors for non-fatal injuries among children working in Philippine agriculture.
abstract: OBJECTIVE
  Global consensus is lacking, especially among developing countries, on whether agricultural work is detrimental to children's health and safety. We aimed to measure the degree to which Philippine children working in agriculture have a higher risk of injury compared with children working in other industries, and to uncover potential risk factors for their non-fatal injuries.
  
  
  METHODS
  Using the Philippine Survey of Children (SOC) 2001, we calculated injury incidence rates and relative risk measures across industries, and employed a multivariate logistic regression on the sample of working children in agriculture to ascertain the association of various exposures with the occurrence of work-related injuries.
  
  
  RESULTS
  Children working in agriculture had a fivefold risk of non-fatal injury compared to children working in other industries. Logistic regression indicated that the most robust risk factor for the occurrence of non-fatal injury was the use of tools (OR = 3.12).
  
  
  CONCLUSIONS
  The results of this study demonstrate agriculture to be a hazardous industry for children. Further research should focus on identifying the most dangerous tools and restricting their use.
authors.affiliation: Office of Child Labor, Forced Labor, and Human Trafficking, Bureau of International Labor Affairs, US Department of Labor, Washington, DC 20210, USA. castro.charita.l@dol.gov
authors.forename: Charita L
authors.initials: CL
authors.lastname: Castro
authors.forename: Katherine
authors.initials: K
authors.lastname: Hunting
mesh_terms: D000062:Accidents, Occupational / Q000706:statistics & numerical data; D000293:Adolescent; D017677:Age Distribution; D000383:Agriculture; D002648:Child; D002669:Child Welfare; D002675:Child, Preschool; D016208:Databases, Factual; D003906:Developing Countries; D004651:Employment; D005260:Female; D006801:Humans; D015994:Incidence; D016015:Logistic Models; D008297:Male; D016272:Occupational Health; D060051:Occupational Injuries / Q000453:epidemiology* / Q000209:etiology / Q000503:physiopathology; D016017:Odds Ratio; D010679:Philippines / Q000453:epidemiology; D012189:Retrospective Studies; D012307:Risk Factors; D017678:Sex Distribution