Results of the regression analysis (Table II) indicated that
neither pain intensity nor maternal pain history were significantly
related to school absences. However, greater
depressive symptoms by adolescent self-report on the
CDI were significantly related to higher rates of school
absences. Due to skewness in the distribution of school
absences, we compared adolescents with a high level of
school absences (above the median of 2 days per month)
with a low level of school absences (below the median) on
depressive symptoms. Consistent with the results of the
regression analysis, the group with a high level of schoolabsences reported significantly greater depressive symptoms
(t¼2.11; p¼.03) on the CDI. In contrast to the
significant differences based on depressive symptoms on
the CDI, adolescents who met criteria for a diagnosis of
depressive disorder based upon psychiatric interview were
not found to have significantly higher school absences than
those who did not (t¼.98; p¼.33). Adolescents with
anxiety or attentional disorders also did not have significantly
greater school absences than those without these
diagnoses (t¼–.62; p¼.53 and t¼.52; p¼.61, respectively).
Given the inconsistent findings on the CDI
self-report data on depressive symptoms and diagnosis of
depressive disorders based upon clinical interview, we further
explored the CDI data by comparing adolescents with
scores above the clinical cut-off for depressive symptoms
(T-score>65) and those below the cut-off. Results were
similar to the regression analysis that is, adolescents who
scored above the clinical cut-off for depressive symptoms
had significantly greater school absences than those below
the cut-off (mean of 4.4 absences per month versus 2.4;
p
Results of the regression analysis (Table II) indicated that
neither pain intensity nor maternal pain history were significantly
related to school absences. However, greater
depressive symptoms by adolescent self-report on the
CDI were significantly related to higher rates of school
absences. Due to skewness in the distribution of school
absences, we compared adolescents with a high level of
school absences (above the median of 2 days per month)
with a low level of school absences (below the median) on
depressive symptoms. Consistent with the results of the
regression analysis, the group with a high level of schoolabsences reported significantly greater depressive symptoms
(t¼2.11; p¼.03) on the CDI. In contrast to the
significant differences based on depressive symptoms on
the CDI, adolescents who met criteria for a diagnosis of
depressive disorder based upon psychiatric interview were
not found to have significantly higher school absences than
those who did not (t¼.98; p¼.33). Adolescents with
anxiety or attentional disorders also did not have significantly
greater school absences than those without these
diagnoses (t¼–.62; p¼.53 and t¼.52; p¼.61, respectively).
Given the inconsistent findings on the CDI
self-report data on depressive symptoms and diagnosis of
depressive disorders based upon clinical interview, we further
explored the CDI data by comparing adolescents with
scores above the clinical cut-off for depressive symptoms
(T-score>65) and those below the cut-off. Results were
similar to the regression analysis that is, adolescents who
scored above the clinical cut-off for depressive symptoms
had significantly greater school absences than those below
the cut-off (mean of 4.4 absences per month versus 2.4;
p<.05
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