Objective: Depression and anxiety often coexist in patients with end -stage -kidney disease. Recently, studies showed that a composite ?general distress score ? which combines depression and... Show moreObjective: Depression and anxiety often coexist in patients with end -stage -kidney disease. Recently, studies showed that a composite ?general distress score ? which combines depression and anxiety symptoms provides a good fit in dialysis and oncology patients. We aim to investigate if the three most frequently used self -report questionnaires to measure depression and anxiety in dialysis patients are sufficiently unidimensional to warrant the use of such a general distress score in two cohorts of dialysis patients. Methods: This study includes two prospective observational cohorts of dialysis patients (total n = 749) which measured depression and anxiety using Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI) and Hospital Anxiety and Depression Scale (HADS). Confirmatory factor analyses was used to investigate both a strictly unidimensional model and a multidimensional bifactor model that includes a general distress, depression and anxiety factor. The comparative fit index (CFI) and The Root Mean Square Error of Approximation (RMSEA) were used as model fit indices. Results: Factor analysis did not show a good fit for a strictly unidimensional general distress factor for both the BDI/BAI and HADS (CFI 0.690 and 0.699, RMSEA 0.079 and 0.125 respectively). The multidimensional model performed better with a moderate fit for the BDI/BAI and HADS (CFI 0.873 and 0.839, RMSEA 0.052 and 0.102). Conclusions: This data shows that the BDI/BAI and HADS are insufficiently unidimensional to warrant the use of a general distress score in dialysis patients without also investigating anxiety and depression separately. Future research is needed whether the use of a general distress score might be beneficial to identify patients in need of additional (psychological) support. Show less
Struijs, S.Y.; Lamers, F.; Verdam, M.G.E.; Ballegooijen, W. van; Spinhoven, P.; Does, W. van der; Penninx, B.W.J.H. 2020
Background: Signs and symptoms of psychopathology can be chronic but are generally regarded as less stable over time than markers of cognitive vulnerability and personality. Some findings suggest... Show moreBackground: Signs and symptoms of psychopathology can be chronic but are generally regarded as less stable over time than markers of cognitive vulnerability and personality. Some findings suggest that these differences in temporal stability are modest in size but a rigorous examination across concepts is lacking. The current study investigated the temporal stability of affective symptoms, cognitive vulnerability markers and personality traits at various assessments over nine years.Methods: Participants of the Netherlands Study of Depression and Anxiety were assessed at baseline and reassessed after 2, 4, 6 and 9 years. They were grouped on the basis of waves of depression and anxiety CIDI-diagnoses into stable healthy (n = 768), stable patients (n = 352) and unstable patients (n = 821). We determined temporal stability by calculating intraclass correlation coefficients (ICC) and consistency indices of latent state-trait analyses (LST).Results: Temporal stability was moderate to high for symptoms (range ICC's 0.54-0.73; range consistency 0.64-0.74), cognitive vulnerability (range ICC's 0.53-0.76; range consistency 0.60-0.74) and personality (range ICC's 0.57-0.80; range consistency.60 -0.75). Consistency indices for all measures were on average a bit lower in the unstable group (ICC = 0.54) compared to the stable groups (ICC = 0.61). Overall stability was similarly high after 2, 4, 6 and 9 years.Conclusion: The 9-year stability over time of symptoms of affective disorders and that of indices of cognitive vulnerability and personality are remarkably similar and relatively high. Show less
Schouten, R.W.; Harmse, V.J.; Dekker, F.W.; Ballegooijen, W. van; Siegert, C.E.H.; Honig, A. 2019
Objective Unraveling specific dimensions of depressive symptoms may help to improve screening and treatment in dialysis patients. We aimed to identify the best-fitting factorial structure for the... Show moreObjective Unraveling specific dimensions of depressive symptoms may help to improve screening and treatment in dialysis patients. We aimed to identify the best-fitting factorial structure for the Beck Depression Inventory-II (BDI) in dialysis patients and to assess the relation of these structure dimensions with quality of life (QoL), hospitalization, and mortality. Methods This prospective study included chronic dialysis patients from 10 dialysis centers in five hospitals between 2012 and 2017. Dimensions of depressive symptoms within the BDI were analyzed using confirmatory factor analysis. To investigate the clinical impact of these dimensions, the associations between symptom dimensions and QoL, hospitalization rate, and mortality were investigated using logistic, Poisson, and Cox proportional hazard regression models. Multivariable regression models included demographic, social, and clinical variables. Results In total, 687 dialysis patients were included. The factor model that included a general and a somatic factor provided the best-fitting structure of the BDI-II. Only the somatic dimension scores were associated with all-cause mortality (hazard ratio of 1.7 [1.2-2.5], p < .007) in the multivariable model. All dimensions were associated with increased hospitalization rate and reduced QoL. Conclusions The somatic dimension of the BDI-II in dialysis patients was associated with all-cause mortality, increased hospitalization rate, and reduced QoL. Other dimensions were associated with hospitalization rate and decreased QoL. These findings show that symptom dimensions of depression have differential association with adverse clinical outcomes. Future studies should take symptom dimensions into account when investigating depression-related pathways, screening, and treatment effects in dialysis patients. Show less
Struijs, S.Y.; Lamers, F.; Verdam, M.G.E.; Ballegooijen, W. van; Spinhoven, P.; Does, W. van der; Penninx, B.W.J.H. 2019
Background: Suicidality could be associated with specific combinations of biological, social and psychologicalfactors. Therefore, depressive episodes with suicidal ideation could be different from... Show moreBackground: Suicidality could be associated with specific combinations of biological, social and psychologicalfactors. Therefore, depressive episodes with suicidal ideation could be different from depressive episodeswithout suicidal ideation in terms of latent variable structures.Methods: In this study we compared latent variable structures between suicidal and non-suicidal depressedpatients using confirmatory factor analysis (CFA), following a measurement invariance test procedure. Patients(N = 919) suffering from major depressive disorder were selected from the Netherlands Study of Depression andAnxiety (NESDA) and split into a group that showed no symptoms of suicidal ideation (non-SI; N = 691) and asuicidal ideation (SI) group that had one or more symptoms of suicidal ideation (N = 228). Depression andanxiety symptoms were measured using the short form of the Mood and Anxiety Symptoms Questionnaire(MASQ-D30).Results: CFA implied a difference in latent variable structures between the non-SI sample (CFI 0.957; RMSEA0.041) and the SI sample (CFI 0.900; RMSEA 0.056). Subsequent multiple-group CFA showed violations ofmeasurement invariance. The General distress and Anhedonic depression subscales were best indicated byhopelessness and lack of optimism in the SI sample and by dissatisfaction and not feeling lively in the non-SIsample. Overall, the SI sample had higher scores and lower inter-item correlations on the Anhedonic depressionitems.Limitations: We have included very mild cases of suicidal ideation in our SI sample.Conclusions: On a latent variable level, depression with suicidal ideation differs from depression without suicidalideation. Results encourage further research into the symptom structure of depression among suicidal patients Show less
Ballegooijen, W. van; Eikelenboom, M.; Fokkema, M.; Riper, H.; Hemert, A.M. van; Kerkhof, A.J.F.M.; ... ; Smit, J.H. 2018
Suicidality could be associated with specific combinations of biological, social and psychological factors. Therefore, depressive episodes with suicidal ideation could be different from depressive... Show moreSuicidality could be associated with specific combinations of biological, social and psychological factors. Therefore, depressive episodes with suicidal ideation could be different from depressive episodes without suicidal ideation in terms of latent variable structures.\nIn this study we compared latent variable structures between suicidal and non-suicidal depressed patients using confirmatory factor analysis (CFA), following a measurement invariance test procedure. Patients (N = 919) suffering from major depressive disorder were selected from the Netherlands Study of Depression and Anxiety (NESDA) and split into a group that showed no symptoms of suicidal ideation (non-SI; N = 691) and a suicidal ideation (SI) group that had one or more symptoms of suicidal ideation (N = 228). Depression and anxiety symptoms were measured using the short form of the Mood and Anxiety Symptoms Questionnaire (MASQ-D30).\nCFA implied a difference in latent variable structures between the non-SI sample (CFI 0.957; RMSEA 0.041) and the SI sample (CFI 0.900; RMSEA 0.056). Subsequent multiple-group CFA showed violations of measurement invariance. The General distress and Anhedonic depression subscales were best indicated by hopelessness and lack of optimism in the SI sample and by dissatisfaction and not feeling lively in the non-SI sample. Overall, the SI sample had higher scores and lower inter-item correlations on the Anhedonic depression items.\nWe have included very mild cases of suicidal ideation in our SI sample.\nOn a latent variable level, depression with suicidal ideation differs from depression without suicidal ideation. Results encourage further research into the symptom structure of depression among suicidal patients.\nBACKGROUND\nMETHODS\nRESULTS\nLIMITATIONS\nCONCLUSIONS Show less
