Page 103 - Petelin, Ana. 2021. Ed. Zdravje starostnikov / Health of the Elderly. Proceedings. Koper: University of Primorska Press.
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many non-users (26.5%) as among young people. At the same time, the cat- is the ict use for health purposes in slovenia linked to better health? 101
egories of the most frequent information seekers are very comparable by size
between age groups; the youngest age group has the largest proportion of most
frequent users (27.9%), followed by the oldest age group (26.5%) and the mid-
dle-age group (25.4%). The chi-square test showed that differences between age
groups in the frequency of health-related information search were statistical-
ly significant (p<0.05).
Figure 2: Frequency of searching for information by age group
Source: Slovenian Public Opinion 2018/1 (Hafner Fink et al. 2019).
Figure 3 shows the frequency of information search according to the re-
spondents’ self-rated health. The results show that the proportion of those who
never use the Internet/apps to search for health information decreases with
better health, indicating that among the healthiest respondents, there is the
smallest proportion of non-users. On the other hand, the proportion of the
most frequent searchers (who search for information at least weekly) is among
the least healthy group (30.5%), and the lowest proportion of frequent searchers
is in the two remaining groups (around 1 in 4 in each group). The chi-square
test showed that differences between health groups were statistically signifi-
cant (p<0.05).
Figure 3: Frequency of searching for information by self-rated health status
Source: Slovenian Public Opinion 2018/1 (Hafner Fink et al. 2019).
egories of the most frequent information seekers are very comparable by size
between age groups; the youngest age group has the largest proportion of most
frequent users (27.9%), followed by the oldest age group (26.5%) and the mid-
dle-age group (25.4%). The chi-square test showed that differences between age
groups in the frequency of health-related information search were statistical-
ly significant (p<0.05).
Figure 2: Frequency of searching for information by age group
Source: Slovenian Public Opinion 2018/1 (Hafner Fink et al. 2019).
Figure 3 shows the frequency of information search according to the re-
spondents’ self-rated health. The results show that the proportion of those who
never use the Internet/apps to search for health information decreases with
better health, indicating that among the healthiest respondents, there is the
smallest proportion of non-users. On the other hand, the proportion of the
most frequent searchers (who search for information at least weekly) is among
the least healthy group (30.5%), and the lowest proportion of frequent searchers
is in the two remaining groups (around 1 in 4 in each group). The chi-square
test showed that differences between health groups were statistically signifi-
cant (p<0.05).
Figure 3: Frequency of searching for information by self-rated health status
Source: Slovenian Public Opinion 2018/1 (Hafner Fink et al. 2019).
