Fit indices used to identify number of latent classes.

Clinical characteristics and physiology of patients.

Socio-demographic characteristics of inmates of Debre Berhan prison, Ethiopia, 2015.

Sample description.

Attachment styles of AE patients (n = 44) and the correlation with RQ scores.

Predictive accuracies of the regression models on PHQ-9 scores.

Weighted diagnostics odds ratios (DORs) of selected screening tools.

Multiple linear regression analysis predicting PTSD.

Demographic characteristics and their associations with possible Internet addiction and depression.

Adjusted odds ratios of depressive symptoms according to individual dimensions of objective socioeconomic status and subjective social status, for the total sample and by sex.

Patients’ baseline characteristics at baseline in intervention group, care as usual group and total sample.

Distribution of depression (n = 47) and anxiety scores (n = 45) categorized as minimal / mild / moderate / severe.

Disorders for which screening tools were validated by studies included in this review.

Quality Criteria.

Distribution of yellow flags in PHQ-2 and GAD-2 in the three CTQ-clusters.

(XLS)

BackgroundA wide range of screening tools are available to detect common mental disorders (CMDs), but few have been specifically developed for populations in low and middle...

Multi-variable binary logistic regression analysis of factors associated with depression among prisoners of Debre Berhan prison, Ethiopia, 2015.

BackgroundProblematic and pathological gambling have been linked to depression. Despite a high demand for treatment and negative financial consequences, only a small fraction of...

Associations between smartphone addiction level (total SPAI score) and participants' characteristics.