Examining the Dimensionality, Reliability, and Invariance of the Depression, Anxiety, and Stress Scale-21 (DASS-21) Across Eight Countries.

This study evaluated the dimensionality, invariance, and reliability of the Depression, Anxiety, and Stress Scale-21 (DASS-21) within and across Brazil, Canada, Hong Kong, Romania, Taiwan, Turkey, United Arab Emirates, and the United States (N = 2,580) in college student samples. We used confirmatory factor analyses to compare the fit of four different factor structures of the DASS-21: a unidimensional model, a three-correlated-factors model, a higher order model, and a bifactor model. The bifactor model, with three specific factors (depression, anxiety, and stress) and one general factor (general distress), presented the best fit within each country. We also calculated ancillary bifactor indices of model-based dimensionality of the DASS-21 and model-based reliability to further examine the validity of the composite total and subscale scores and the use of unidimensional modeling. Results suggested the DASS-21 can be used as a unidimensional scale. Finally, measurement invariance of the best fitting model was tested across countries indicating configural invariance. The traditional three-correlated-factors model presented scalar invariance across Canada, Hong Kong, Romania, Taiwan, and the United States. Overall, these analyses indicate that the DASS-21 would best be used as a general score of distress rather than three separate factors of depression, anxiety, and stress, in the countries studied.

Does the stigma of mental illness contribute to suicidality?

Mental disorders are associated with suicidality and with stigma. Many consequences of stigma, such as social isolation, unemployment, hopelessness or stress, are risk factors for suicidality. Research is needed on the link between stigma and suicidality as well as on anti-stigma interventions and their effects on suicidality.

Does co-morbid depression impact diabetes related costs? Evidence from a cross-sectional survey in a low-income country.

AIMS OF THE STUDY: The economic implications of co-morbid depression in patients with chronic medical disorders have been studied mainly in high-income countries. However, the applicability of such findings in developing countries cannot be assumed. In the present study we estimate diabetes related costs and explore the link between depression and diabetes related costs in Romania. In this former communist country, the general perception of practitioners and policy-makers is that psychological issues are far less important than medical concerns for patients with diabetes, a perception that may lead to the misallocation of already scarce resources. METHODS: Data related to costs of diabetes care and to co-morbid depression were collected from a sample of 1,171 diabetes patients at the Nutrition and Diabetes Center in Cluj-Napoca, Romania, using the Diabetes Costs Questionnaire (DCQ) and the Patient Health Questionnaire 9 (PHQ9). The gathered data were subjected to a bivariate analysis of the depression-cost relationship, as well as a regression analysis in order to isolate the effect of depression on diabetes related costs from the effect of covariates. RESULTS: Direct and indirect diabetes related costs equally contributed to the total costs. The repartition of the cost burden between the public system and private agents is nearly equal as well. The bivariate analysis of the depression-cost relationship reveals statistically significant larger diabetes related costs for patients with major depression than for patients with minor depression, and the latter have larger diabetes related costs than patients free of depression symptoms. When the pure effect of depression on diabetes related costs was isolated by means of regression techniques, the provisional diagnosis of major depression was found to significantly increase diabetes related costs. DISCUSSION: The equal distribution of diabetes related costs between direct and indirect measures, as well as the cost burden equally split between the public system and private agents can be explained by the costs of medication and the costs associated with time lost by the non-compensated caregivers. Consistent with Romanian cultural traditions, most of the patients rely on their relatives in an informal diabetes caregiving market for assistance. Alongside depression, the multivariate analysis revealed that factors such as Hungarian ethnicity, income, and number of years since diagnosis also significantly contribute to diabetes related costs. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: Findings that depression increases diabetes related costs bear potential implications for health policies and health care provision (i.e., the effect of depression on costs can be minimized by adequate recognition and treatment). As such, screening and treatment of co-occurring depression in diabetes patients should become part of the diabetes treatment protocol, not only in Romania but in other Central and Eastern European countries as well.