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The Epidemiology of Young People's Work and Experiences of Violence in Nine Countries: Evidence from the Violence against Children Surveys.

Amiya BhatiaMaryam ParvezJodie PearlmanFred KasalirweLigia KissAgnes KyamulabiEddy J WalakiraKaren DevriesClare Tanton
Published in: International journal of environmental research and public health (2022)
Globally, 497 million young people (15-24 years) are in the labour force. The current research on work and violence indicates reciprocal links across the life course. This study draws on data from 35,723 young people aged 13-24 years in the Violence Against Children Surveys (VACS) in nine countries to describe the epidemiology of work in order to explore associations between (1) current work and violence and (2) childhood violence and work in a hazardous site in young adulthood. The prevalence of past-year work among 13-24-year-olds was highest in Malawi: 82.4% among young men and 79.7% among young women. In most countries, young women were more likely to be working in family or domestic dwellings (range: 23.5-60.6%) compared to men (range: 8.0-39.0%), while men were more likely to be working on a farm. Work in a hazardous site was higher among young men compared to women in every country. Among children aged 13-17 years, we found significant positive associations between past-year work and violence among girls in three countries (aORs between 2.14 and 3.07) and boys in five countries (aORs 1.52 to 3.06). Among young people aged 18-24 years, we found significant positive associations among young women in five countries (aORs 1.46 to 2.61) and among young men in one country (aOR 2.62). Associations between childhood violence and past-year work in a hazardous site among 18-24-year-olds were significant in one country among girls and in three countries among boys. Continued efforts are needed to prevent hazardous work, improve work environments, and integrate violence prevention efforts into workplaces.
Keyphrases
  • mental health
  • middle aged
  • intimate partner violence
  • young adults
  • risk factors
  • type diabetes
  • depressive symptoms
  • big data
  • metabolic syndrome