Page 223 - Petelin, Ana, Nejc Šarabon, Boštjan Žvanut, eds. 2017. Zdravje delovno aktivne populacije ▪︎ Health of the Working-Age Population. Proceedings. Koper: Založba Univerze na Primorskem/University of Primorska Press
P. 223
inspectors also work 8-12 hours. They work outside therefore the health-risk absenteeism in slovenian railways – comparison between different work groups 221
factors in this group are exposure to different weather conditions, danger of
falls, and asymmetrical posture at work.
On the other hand train drivers and wagon inspectors are part of execu-
tive railway workers. Executive railway workers are taking an active part in the
railway traffic therefore must be at the good health, free of hearing or eyesight
troubles, cardiovascular diseases, with settled blood pressure and other. Also,
before starting a career, the train driver must perform an ultrasound or ECG
which is required in the guidelines of the international association of the rail-
way medical services (van Dijk, Govaart & Voumard, 2007).
The goal of our study was to assess if there are statistically significant dif-
ferences in the absenteeism between these different groups of railway workers.
Furthermore the potential effects of sedentary work and shift work on absen-
teeism were assessed. We hypothesized that there will be significant difference
between different occupations and that shift work and physical work will result
in more absenteeism.
Methods
We observed the incidence among four occupational groups of the Slovenian
Railways Group, i.e. office workers (regular work schedule, sedentary), main-
tenance workers (regular work schedule, dynamic, heavy duty), train driv-
ers (shift-work schedule, prolonged sitting) and wagon inspectors (shift-work
schedule, dynamic duty). We acquired the data from annual reports on work-
ers’ health in the Slovenian Railways Group between years 2007 and 2015. On-
ly the data about absenteeism was included. The data for the nursing or attend-
ance were excluded (E8 by the ICD-10). The average number of employees in
the observed period was 1590 in the office workers group, 390 in the railway
maintenance group, 960 in the train drivers group and 206 in the wagon in-
spectors group (table 1). We didn’t find the data for the age, gender and other in
the annual reports.
SPSS version 20 (SPSS Statistics, IBM, New York, ZDA) has been used
for the analyses. One-way analysis of variance (1-way ANOVA) was conduct-
ed in order to assess the differences between occupational subgroups (dynam-
ic regular schedule, sitting regular schedule, sitting shift-work schedule, dy-
namic shift-work schedule). Two-way analysis of variance (2-way ANOVA) was
conducted in order to examine the effect of the work schedule and the effect
of the dynamics at work (physically active vs. sedentary) and the interaction ef-
fect (schedule (2) x dynamic (2)). Statistical significance was set at the p < 0,05.
factors in this group are exposure to different weather conditions, danger of
falls, and asymmetrical posture at work.
On the other hand train drivers and wagon inspectors are part of execu-
tive railway workers. Executive railway workers are taking an active part in the
railway traffic therefore must be at the good health, free of hearing or eyesight
troubles, cardiovascular diseases, with settled blood pressure and other. Also,
before starting a career, the train driver must perform an ultrasound or ECG
which is required in the guidelines of the international association of the rail-
way medical services (van Dijk, Govaart & Voumard, 2007).
The goal of our study was to assess if there are statistically significant dif-
ferences in the absenteeism between these different groups of railway workers.
Furthermore the potential effects of sedentary work and shift work on absen-
teeism were assessed. We hypothesized that there will be significant difference
between different occupations and that shift work and physical work will result
in more absenteeism.
Methods
We observed the incidence among four occupational groups of the Slovenian
Railways Group, i.e. office workers (regular work schedule, sedentary), main-
tenance workers (regular work schedule, dynamic, heavy duty), train driv-
ers (shift-work schedule, prolonged sitting) and wagon inspectors (shift-work
schedule, dynamic duty). We acquired the data from annual reports on work-
ers’ health in the Slovenian Railways Group between years 2007 and 2015. On-
ly the data about absenteeism was included. The data for the nursing or attend-
ance were excluded (E8 by the ICD-10). The average number of employees in
the observed period was 1590 in the office workers group, 390 in the railway
maintenance group, 960 in the train drivers group and 206 in the wagon in-
spectors group (table 1). We didn’t find the data for the age, gender and other in
the annual reports.
SPSS version 20 (SPSS Statistics, IBM, New York, ZDA) has been used
for the analyses. One-way analysis of variance (1-way ANOVA) was conduct-
ed in order to assess the differences between occupational subgroups (dynam-
ic regular schedule, sitting regular schedule, sitting shift-work schedule, dy-
namic shift-work schedule). Two-way analysis of variance (2-way ANOVA) was
conducted in order to examine the effect of the work schedule and the effect
of the dynamics at work (physically active vs. sedentary) and the interaction ef-
fect (schedule (2) x dynamic (2)). Statistical significance was set at the p < 0,05.
