Hussein Ranjbar, Hossein Karimi Moonaghi, Abbas Heydari, Seyed Reza Mazlom, Laura Scurlock-Evans and Seyedeh Negar Assadi
Truck drivers are one of the largest occupational groups in Iran. Evidence from previous studies suggests that working and living conditions on the road engender many concerns for truck drivers, and their families and communities. This research aimed to explore the experiences of Iranian truck drivers regarding life on the road.
This qualitative study was conducted among Iranian truck drivers working in the inter-state transportation sector. A purposeful sample of 20 truck drivers took part in this research. Data were collected through semi-structured interviews and analyzed based on qualitative content analysis.
After analysis of the data, three main themes emerged: “Individual impacts related to the hardships of life on the road life”, “Family impacts related to the hardships of road life”, and “Having positive attitude towards work and road”. These findings represent the dimensions of perspectives in the road-life of truck drivers.
Although truck drivers possess positive beliefs about their occupation and life on the road, they and their families face many hardships which should be well understood. They also need support to be better able to solve the road-life concerns they face. This study's findings are useful for occupational programming and in the promotion of health for truck drivers.
: Ankara İli’nde İlkokul 1. Sınıf Öğrencilerinde Gözde Kırma Kusurları Sıklığının Tespit Edilmesi Araştırması, 2013 Access date: 21/7/2015. Available from: http://www.sagem.gov.tr/Gozde_Kirma_Kusurlari_Raporu_04_03_2014.pdf
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Objective. This study aimed to provide the true picture of a ten-year absenteeism survey with regard to work-related illnesses and injuries in medical-social workers, and to develop an analytical model for the occupational health practitioner to facilitate record linkage between health outcomes and occupational data.
Methods. Severity indicator and specific weight indicator were calculated on the basis of sick leaves evidence from seven care facilities, as well as the average lost days per year within the period 2008-2017. Four types of work-related illnesses, non-reported accidents and five occupational groups accounted for statistic modeling of data.
Results. According to the specific weight indicator for occupations, nurses ranked the first place for musculoskeletal disorders, respiratory and cardiovascular diseases, and traumatic injuries, followed by medical-social-educational staff. Severity indicator for musculoskeletal disorders was high correlated with the number of employees (r=0.66).
Conclusions: This analytical method is reliable to be applied in risk assessment procedures and occupational health expertise.