Page 225 - 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. 225
ween other groups we didn’t find significant differences. Figure 2 represents absenteeism in slovenian railways – comparison between different work groups 223
data graphically.
Using two-way ANOVA we first tested the interaction effect between the
effect of the work schedule and the effect of the dynamic and the differences by
each factor. Comparing by factor dynamic (sedentary vs. physically active) did
not show significant differences (p = 0,147, F = 2,208). On the other hand, there
were significant differences found when comparing by factor work schedule
(regular vs. shift-work) (p < 0,001, F = 20,217). Also we found the significant in-
teraction effect between both factors (p < 0,001, F = 28,456).
Discussion
We found the highest percent of absenteeism in the railway maintenance group
(dynamic, heavy duty, regular schedule) and the lowest percent of absenteeism
in the wagon inspectors group (dynamic, shift-work schedule). Train drivers
(sitting, shift-work schedule) had lower percent of absenteeism compared with
maintenance workers and higher percent compared with office workers (sit-
ting, regular schedule). The data shows common percent of absenteeism (with-
out nursing or attendance) and doesn’t include causalities for the absentee-
ism. By the factor of dynamics (sedentary vs. physically active) we didn’t find
significant differences while differences were found by the factor work sched-
ule (regular vs. shift-work), surprisingly showing lower rate of absenteeism in
workers working in shifts. We have also found the significant interaction ef-
fect between both factors indicating that combination of shift work schedule
and static work or combination of regular work schedule and heavy duty work
can cause higher rate of absenteeism. Moreover, we can assume that heavy du-
ty work has stronger impact on absenteeism than shift work.
We acquired information about causalities by National Institute of Pub-
lic Health. Most often causalities for absenteeism in the Slovenian Railways
Group between years 2007-2015 were musculoskeletal problems, nonworking
infections and injuries, and mental and behavioral disturbances, followed by
work-related injuries and respiratory diseases. The average number of work-re-
lated injuries in Slovenian Railways Group was 22 per 1000 employees, which
is almost half of that what found Gauchard et al. (2003) in the large French
railway company (~40 work-related injuries per 1000 employees). Gauchard et
al. (2003) found that more than 15 % of injuries were due to falls. Falls were
most freequent in train drivers, maintenance workers and production oper-
ators (Gauchard et al., 2003; Chau et al., 2004). Mental and behavioral disor-
ders were often cause for absenteeism in Chinese executive railway workers
(Zhang et al., 2016) and in contrast with our data, they were more comon than
musculoskeletal diseases. Compared with our survey in which we observed all
employees, Zhang et al. (2016) included just executive railway workers which
could contribute to the observed differences. Mental and behavioral disorders
are often related with increased workload and shift work, which can cause sleep
disturbances and changes in circadian rhythm (Jeon et al., 2013). Furthermore,
data graphically.
Using two-way ANOVA we first tested the interaction effect between the
effect of the work schedule and the effect of the dynamic and the differences by
each factor. Comparing by factor dynamic (sedentary vs. physically active) did
not show significant differences (p = 0,147, F = 2,208). On the other hand, there
were significant differences found when comparing by factor work schedule
(regular vs. shift-work) (p < 0,001, F = 20,217). Also we found the significant in-
teraction effect between both factors (p < 0,001, F = 28,456).
Discussion
We found the highest percent of absenteeism in the railway maintenance group
(dynamic, heavy duty, regular schedule) and the lowest percent of absenteeism
in the wagon inspectors group (dynamic, shift-work schedule). Train drivers
(sitting, shift-work schedule) had lower percent of absenteeism compared with
maintenance workers and higher percent compared with office workers (sit-
ting, regular schedule). The data shows common percent of absenteeism (with-
out nursing or attendance) and doesn’t include causalities for the absentee-
ism. By the factor of dynamics (sedentary vs. physically active) we didn’t find
significant differences while differences were found by the factor work sched-
ule (regular vs. shift-work), surprisingly showing lower rate of absenteeism in
workers working in shifts. We have also found the significant interaction ef-
fect between both factors indicating that combination of shift work schedule
and static work or combination of regular work schedule and heavy duty work
can cause higher rate of absenteeism. Moreover, we can assume that heavy du-
ty work has stronger impact on absenteeism than shift work.
We acquired information about causalities by National Institute of Pub-
lic Health. Most often causalities for absenteeism in the Slovenian Railways
Group between years 2007-2015 were musculoskeletal problems, nonworking
infections and injuries, and mental and behavioral disturbances, followed by
work-related injuries and respiratory diseases. The average number of work-re-
lated injuries in Slovenian Railways Group was 22 per 1000 employees, which
is almost half of that what found Gauchard et al. (2003) in the large French
railway company (~40 work-related injuries per 1000 employees). Gauchard et
al. (2003) found that more than 15 % of injuries were due to falls. Falls were
most freequent in train drivers, maintenance workers and production oper-
ators (Gauchard et al., 2003; Chau et al., 2004). Mental and behavioral disor-
ders were often cause for absenteeism in Chinese executive railway workers
(Zhang et al., 2016) and in contrast with our data, they were more comon than
musculoskeletal diseases. Compared with our survey in which we observed all
employees, Zhang et al. (2016) included just executive railway workers which
could contribute to the observed differences. Mental and behavioral disorders
are often related with increased workload and shift work, which can cause sleep
disturbances and changes in circadian rhythm (Jeon et al., 2013). Furthermore,
