Page 14 - 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. 14
avje delovno aktivne populacije | health of the working-age population 12 44.5%), while the third age group (36–44) accounted for 20% of participants.
The fewest number belonged to the 45 and over age group (15.7% of the sample).
University graduates accounted for 35.9% of participants, followed by
those who had completed secondary school education (24.1%) and academic
technical education (18.4%). Those who had completed primary school, voca-
tional secondary school or college accounted for the fewest number of partic-
ipants (0.6, 2.2 and 5.7% respectively). A total of 13.1% of participants had com-
pleted Master’s or doctoral studies.
We classified professions into 21 groups in line with the Standard Classi-
fication of Activities from 2008 (SKD, Uradni list RS, 69/07 and 17/08). Twen-
ty-two per cent (the highest single proportion) of participants were engaged in
professional, scientific and technical activities. Health and social work profes-
sions (15.9%) and education (14.3%) were also well represented. Trade and motor
vehicle maintenance and repair accounted for 9% of participants, as did other
business activities.
The data was collected with the help of an online questionnaire in which
all questions had to be answered. We used social networks and the psihologij-
adela.com website to invite participants to take part.
Aids
We used the Psychophysical Health Scale, SPFZ-2; Majstorović, 2011), which al-
lows individuals to assess their own psychophysical health. It comprises 15 as-
sertions within the following five dimensions: physical health complaints (e.g.
“Have you suffered from stomach or other digestive complaints in the last four
weeks?”), fear and anxiety (e.g. “ Have you been fearful for no good reason in
the last four weeks?”), depressive reactions (e.g. “Have you had trouble sleeping
in the last four weeks?”), fatigue (e.g. “Have you noticed, in the last four weeks,
that you are tired for no good reason?”) and social behavioural disorders (e.g.
“Have you become intolerant of others in the last four weeks?”). With the help
of a four-point Likert scale, the individual estimated how many times in the
last four weeks they had identified a certain health issue as affecting them (pos-
sible answers are “No”, “Yes, but not often”, “Yes, often” and “Yes, every day”).
The reliability of the original scale was 0.85 (Popov et al., 2016) and the reliabil-
ity of the Slovenian translation was 0.80 (Kuhta, 2016).
At the end, the participants inserted further information in the form of
their sex, age, level of education completed, profession and group of activities
in which they were employed.
For the basic overview of data we used simple descriptive statistics (M,
SD) and skewness, kurtosis and Kolmogorov-Smirnov test - to test normality
of distribution.
Hierarchical regression analysis has been used, where age and education
were presented with the aid of »dummy« variables – reference group of edu-
cation is primary school education and of age is 18-26 age group. The last two
The fewest number belonged to the 45 and over age group (15.7% of the sample).
University graduates accounted for 35.9% of participants, followed by
those who had completed secondary school education (24.1%) and academic
technical education (18.4%). Those who had completed primary school, voca-
tional secondary school or college accounted for the fewest number of partic-
ipants (0.6, 2.2 and 5.7% respectively). A total of 13.1% of participants had com-
pleted Master’s or doctoral studies.
We classified professions into 21 groups in line with the Standard Classi-
fication of Activities from 2008 (SKD, Uradni list RS, 69/07 and 17/08). Twen-
ty-two per cent (the highest single proportion) of participants were engaged in
professional, scientific and technical activities. Health and social work profes-
sions (15.9%) and education (14.3%) were also well represented. Trade and motor
vehicle maintenance and repair accounted for 9% of participants, as did other
business activities.
The data was collected with the help of an online questionnaire in which
all questions had to be answered. We used social networks and the psihologij-
adela.com website to invite participants to take part.
Aids
We used the Psychophysical Health Scale, SPFZ-2; Majstorović, 2011), which al-
lows individuals to assess their own psychophysical health. It comprises 15 as-
sertions within the following five dimensions: physical health complaints (e.g.
“Have you suffered from stomach or other digestive complaints in the last four
weeks?”), fear and anxiety (e.g. “ Have you been fearful for no good reason in
the last four weeks?”), depressive reactions (e.g. “Have you had trouble sleeping
in the last four weeks?”), fatigue (e.g. “Have you noticed, in the last four weeks,
that you are tired for no good reason?”) and social behavioural disorders (e.g.
“Have you become intolerant of others in the last four weeks?”). With the help
of a four-point Likert scale, the individual estimated how many times in the
last four weeks they had identified a certain health issue as affecting them (pos-
sible answers are “No”, “Yes, but not often”, “Yes, often” and “Yes, every day”).
The reliability of the original scale was 0.85 (Popov et al., 2016) and the reliabil-
ity of the Slovenian translation was 0.80 (Kuhta, 2016).
At the end, the participants inserted further information in the form of
their sex, age, level of education completed, profession and group of activities
in which they were employed.
For the basic overview of data we used simple descriptive statistics (M,
SD) and skewness, kurtosis and Kolmogorov-Smirnov test - to test normality
of distribution.
Hierarchical regression analysis has been used, where age and education
were presented with the aid of »dummy« variables – reference group of edu-
cation is primary school education and of age is 18-26 age group. The last two
