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Both measures of depression were substantially and significantly related to all measures of SH and FH.
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Moreover, a variety of measures of depression or depressive symptoms have been used.
Both measures are established measures of depression symptom severity with very good internal consistency (0.92 [ 36] and 0.90 [ 37] respectively) and good correlations with other measures of depression in this age-group.
Highly skewed variables such as maternal measures of depression and previous depressive symptom scores were imputed using prediction matching.
Positive, face-based ABM reduced both measures of recurrence risk (Beck Depression Inventory and cortisol awakening response).
Despite the differences, both instruments have been validated as measures of depression [ 12, 13] and both have been shown to predict sickness absence [ 4, 5].
In separate non-elimination multivariable models, poor sleep quality was significantly associated with both CES-D and DASS-21 measures of depression after adjusting for confounders (Table 4).
It has also demonstrated strong evidence of criterion validity when assessed against both clinical interview and self report measures of depression, and strong construct and clinical validity [ 44, 46].
Their measures of depression come from standard psychiatric instruments, Quick Inventory of Depressive Symptomatology and Hamilton Depression rating scales.
The primary outcome was change in depressive symptoms based on validated measures of depression.
To clarify previous findings that diabetes distress is related to glycemic control and self-management whereas measures of depression are not, using both binary and continuous measures of depression.
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