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Occupational injury rates are higher among young people when compared to older age groups. Objective: Identifying preventive occupational safety and health interventions that aim at protecting young workers from hazards at work while considering their ongoing physical and mental maturation. Methods: We ran a sensitive search strategy in twelve electronic databases to locate studies. Two review authors independently screened titles and abstracts, and later full texts for eligibility. One person extracted the details of studies and another checked for errors. Data were analyzed in an iterative process. Results: We included 39 studies. Three studies evaluated environmental interventions, 29 evaluated behavioral, one evaluated clinical and six combined more than one type of intervention. Developmental characteristics of young workers that could contribute to risk were addressed in 13 studies. Thirty-five studies were from high income countries, one was from an upper middleincome country and three were from lower middle-income countries. We found no studies from low income countries. Conclusions: There is a dearth of evidence when it comes to evaluating interventions in low and lower middle income countries and adapting interventions developed in high income countries to the needs of low and middle income ones. A higher and more integrated participation of young workers themselves, parents and other key social actors such as policy makers, employers and occupational safety and health regulators is required to optimally protect young workers. We recommend developing and evaluating interventions that specifically address the risks that youth face at work due to their ongoing developmental process. Further we need systematic reviews of the interventions identified in this review such as for young workers in the service sector.

a b s t r a c tWoodworking industries still consists of wood dust problems. Young workers are especially vulnerable to safety risks. To reduce risks, it is important to change attitudes and increase knowledge about safety. Safety training have shown to establish positive attitudes towards safety among employees. The aim of current study is to analyze the effect of QR codes that link to Picture Mix EXposure (PIMEX) videos by analyzing attitudes to this safety training method and safety in student responses. Safety training videos were used in upper secondary school handicraft programs to demonstrate wood dust risks and methods to decrease exposure to wood dust. A preliminary study was conducted to investigate improvement of safety training in two schools in preparation for the main study that investigated a safety training method in three schools. In the preliminary study the PIMEX method was first used in which students were filmed while wood dust exposure was measured and subsequently displayed on a computer screen in real time. Before and after the filming, teachers, students, and researchers together analyzed wood dust risks and effective measures to reduce exposure to them. For the main study, QR codes linked to PIMEX videos were attached at wood processing machines. Subsequent interviews showed that this safety training method enables students in an early stage of their life to learn about risks and safety measures to control wood dust exposure. The new combination of methods can create awareness, change attitudes and motivation among students to work more frequently to reduce wood dust.

Many industrial workers are exposed to air contaminants. A significant proportion of this exposure is found to occur as short peaks, a fact that has received limited attention in the literature. The present study focuses on short-term variation in air contaminant exposure measured at the level of seconds, linking exposure peaks to typical work situations in selected Swedish industries. The video exposure monitoring method was used to characterize this variation. Ten different videos were analyzed, from recordings varying in length between 15 and 34 minutes. Cumulative exposure for sampling intervals ranked from high to low, relative to the total exposure was calculated as a function of time. Measures of exposure variation included geometric standard deviation and maximum exposure divided by arithmetic mean. The results show that the characteristics of the variation differ between industrial situations. Samples from the stone, wood, and pharmaceutical industries generated the highest variation, implying that exposure peaks of short duration explain a large proportion of the total exposure. It can be concluded that video monitoring of exposure, combined with calculation of exposure variation as percentage of time accounting for given percentages of exposure, can help to reduce exposure to air contaminants in industrial situations by introducing more targeted control measures.