Page 15 - 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
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phs are a simple representation of avarage score on each dimension between
different activities (SKD).
Results
Table 1: Self-assessment of five dimensions of psychophysical health of all
participants according to the SPFZ-2 scale.
Dimension M SD Asymmetry Kurtosis Kolmogorov–Smirnov test
As SE Spl SE
Statistics df p
Physical health 5.48 1.74 0.86 0.11 0.68 0.22 0.17 489 0
complaints
Fear and anxiety 4.27 1.61 1.41 0.11 1.49 0.22 0.25 489 0
Depressive 4.22 1.28 1.28 0.11 2.70 0.22 0.23 489 0
reactions
Fatigue 6.02 2.17 0.59 0.11 -0.40 0.22 0.15 489 0 psychophysical workload of workers in slovenia 13
Social behavioural 6.21 1.50 0.63 0.11 0.16 0.22 0.18 489 0
disorders
Table 1 shows the average results for all participants across the five di-
mensions of the Psychophysical Health Scale. They show that the most pro-
nounced dimensions for the participants are fatigue and social behavioural dis-
orders. The lowest average values were in the dimensions of depressive reactions
and fear and anxiety.
The results are presented below using hierarchical regression analysis for
all dimensions. All tables are included for the dimensions in which the statisti-
cal differences are significant. A model was used that included, step by step, ed-
ucation, followed by age and, at the end, sex.
For the dimension of physical health complaints, the hierarchical regres-
sion analysis showed that demographic variables explained 3% of the differenc-
es, but the variance produced was not statistically characteristic regardless of
the predictors included in the model.
The demographic variables for the fear and anxiety dimension (Table 2)
explain 5% of the differences, where the inclusion of education and age in the
model increases the percentage of the variance produced or the differences be-
tween people in the dimension in a statistically significant way. With the edu-
cation variable, there is a statistically significant difference between individuals
who have completed secondary school, academic technical, university or doc-
toral studies. In the fear and anxiety dimension, these individuals differ from
those who have completed primary school in a statistically significant way. If
we include the predictor of age in the model, we see that the percentage of the
variance produced increases significantly.
For the dimension of fatigue, the hierarchical regression analysis also
shows that demographic variables explain 3% of the differences, but the vari-
different activities (SKD).
Results
Table 1: Self-assessment of five dimensions of psychophysical health of all
participants according to the SPFZ-2 scale.
Dimension M SD Asymmetry Kurtosis Kolmogorov–Smirnov test
As SE Spl SE
Statistics df p
Physical health 5.48 1.74 0.86 0.11 0.68 0.22 0.17 489 0
complaints
Fear and anxiety 4.27 1.61 1.41 0.11 1.49 0.22 0.25 489 0
Depressive 4.22 1.28 1.28 0.11 2.70 0.22 0.23 489 0
reactions
Fatigue 6.02 2.17 0.59 0.11 -0.40 0.22 0.15 489 0 psychophysical workload of workers in slovenia 13
Social behavioural 6.21 1.50 0.63 0.11 0.16 0.22 0.18 489 0
disorders
Table 1 shows the average results for all participants across the five di-
mensions of the Psychophysical Health Scale. They show that the most pro-
nounced dimensions for the participants are fatigue and social behavioural dis-
orders. The lowest average values were in the dimensions of depressive reactions
and fear and anxiety.
The results are presented below using hierarchical regression analysis for
all dimensions. All tables are included for the dimensions in which the statisti-
cal differences are significant. A model was used that included, step by step, ed-
ucation, followed by age and, at the end, sex.
For the dimension of physical health complaints, the hierarchical regres-
sion analysis showed that demographic variables explained 3% of the differenc-
es, but the variance produced was not statistically characteristic regardless of
the predictors included in the model.
The demographic variables for the fear and anxiety dimension (Table 2)
explain 5% of the differences, where the inclusion of education and age in the
model increases the percentage of the variance produced or the differences be-
tween people in the dimension in a statistically significant way. With the edu-
cation variable, there is a statistically significant difference between individuals
who have completed secondary school, academic technical, university or doc-
toral studies. In the fear and anxiety dimension, these individuals differ from
those who have completed primary school in a statistically significant way. If
we include the predictor of age in the model, we see that the percentage of the
variance produced increases significantly.
For the dimension of fatigue, the hierarchical regression analysis also
shows that demographic variables explain 3% of the differences, but the vari-
