24 research outputs found
Means (standard deviations) for all psychometric measures and their spearman correlation coefficients with internet addiction test (IAT).
*<p><i>p</i><.05;</p>**<p><i>p</i><.01;</p>***<p><i>p</i><.001.</p
Shows the change between post- and pre-internet use in state anxiety (SSAI), positive mood (PANAS+), and negative mood (PANAS-) for both the low internet-using (Low) and high internet-using (High) groups.
<p>Shows the change between post- and pre-internet use in state anxiety (SSAI), positive mood (PANAS+), and negative mood (PANAS-) for both the low internet-using (Low) and high internet-using (High) groups.</p
Semi-partial correlations between depression (HADS), anxiety (HADS), sleep (PSQI), loneliness (UCLA), hours online, and internet problems (IAT), and the two symptom scores (GHQ(S) and IFQ).
<p>Semi-partial correlations between depression (HADS), anxiety (HADS), sleep (PSQI), loneliness (UCLA), hours online, and internet problems (IAT), and the two symptom scores (GHQ(S) and IFQ).</p
Means (standard deviations) for internet problems (IAT), hours spent online, depression (HADS), anxiety (HADS), loneliness (UCLA) and sleep problems (PSQI), along with percentage of individuals falling above the cut-off point for those scales, and the percentage of people with IAD falling above the cut-off for those scales.
<p>*<i>p</i> < 0.05</p><p>**<i>p</i> < 0.01</p><p>***<i>p</i> < 0.001</p><p><sup>~</sup>Hours online, Depression, Anxiety, Sleep, Loneliness</p><p><sup>/</sup>Hours online, Depression, Anxiety, Sleep, Loneliness.</p><p>Pearson correlations between all variables, and with somatic health problems (GHQ) and symptoms are also shown.</p
Percentage of sample visiting websites of various forms, along with percentage male and females, and younger and older, participants visiting sites along with Phi coefficients.
<p>*<i>p</i> < 0.05</p><p>**<i>p</i> < 0.01</p><p>***<i>p</i> < 0.001.</p><p>Percentage of sample visiting websites of various forms, along with percentage male and females, and younger and older, participants visiting sites along with Phi coefficients.</p
Mean general-somatic health (GHQ(S)) score (left panel), and the mean immune-related health (IFQ) score for the two IAT groups (lower and higher problems).
<p>Left panel = somatic-related scores GHQ(S); right panel = immune-related scores (IFQ).</p
Percentage participants above and below the cut-off point for moderate or worse problematic internet usage (i.e. an IAT score of 40 or above), along with these data for females and males, separately.
<p>Percentage participants above and below the cut-off point for moderate or worse problematic internet usage (i.e. an IAT score of 40 or above), along with these data for females and males, separately.</p
Proportions of MS types among women.
<p>The various proportions of MS types reported by the female respondents are shown.</p
Depression scores by MS type.
<p>The variations in depression scores by type of MS are shown.</p
Timelines and HADS score of people with MS.
<p>Descriptions of the variables are shown. Slight differences in totals by gender compared to all are due the small percentages (<2%) of participants for whom either age or gender was missing.</p