Messäquivalenz der Allgemeinen Depressionsskala (ADS 20) bei Menschen mit und ohne Migrationshintergrund unter geschlechtsspezifischer Perspektive

Maksimović, Saša; Ziegenbein, Marc; Machleidt, Wielant; Sieberer, Marcel

doi:10.1055/s-0033-1349559

Cited by 6 publications

(5 citation statements)

References 21 publications

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“…In dieser Untersuchung wurden die Werte in klinisch auffällige (ADS-Score ≥ 23) und klinisch unauffällige Fälle dichotomisiert. Die kultur-und geschlechtsbezogene Messäquivalenz der ADS-L wurde in einer vorangegangenen Untersuchung überprüft [28].…”

Section: Soziodemografische Und -öKonomische Merkmaleunclassified

Geschlechtsspezifische Unterschiede bezüglich Depressivität bei Migranten der ersten und zweiten Generation: Ergebnisse einer Querschnittsuntersuchung an Beschäftigten einer Universitätsklinik

Maksimović

Ziegenbein

Graef-Calliess³

et al. 2014

Fortschr Neurol Psychiatr

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Section: Soziodemografische Und -öKonomische Merkmaleunclassified

Geschlechtsspezifische Unterschiede bezüglich Depressivität bei Migranten der ersten und zweiten Generation: Ergebnisse einer Querschnittsuntersuchung an Beschäftigten einer Universitätsklinik

Maksimović

Ziegenbein

Graef-Calliess³

et al. 2014

Fortschr Neurol Psychiatr

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“…Both latent variable models allow for elegantly checking this assumption. In the SEM context, we refer to measurement invariance [40], for an interesting application in the clinical context see [41]. In the RM context, we refer to Differential Item Functioning (DIF [42]).…”

Section: Discussionmentioning

confidence: 99%

The importance of statistical modelling in clinical research

et al. 2016

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SummaryBackgroundVarious studies have shown that caregiving relatives of schizophrenic patients are at risk of suffering from depression. These studies differ with respect to the applied statistical methods, which could influence the findings. Therefore, the present study analyzes to which extent different methods may cause differing results.MethodsThe present study contrasts by means of one data set the results of three different modelling approaches, Rasch Modelling (RM), Structural Equation Modelling (SEM), and Linear Regression Modelling (LRM).ResultsThe results of the three models varied considerably, reflecting the different assumptions of the respective models.ConclusionsLatent trait models (i. e., RM and SEM) generally provide more convincing results by correcting for measurement error and the RM specifically proves superior for it treats ordered categorical data most adequately.

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“…The CES-D and the German version of it (Allgemeine Depressionsskala) are brief self-report measures, designed to assess symptoms of depression in the general population in epidemiological studies among nine signs and symptoms of depression defined by the American Psychiatric Association Diagnostic and Statistical Manual, fourth edition [ 11 ]. Several studies have assessed the validity of the CES-D in different populations [ 24 , 25 ]. We used the short form of the German version of the CES-D in our study (allgemeine Depressionsskala Kurzform (ADS-K)) [ 25 ].…”

Section: Methodsmentioning

confidence: 99%

“…Several studies have assessed the validity of the CES-D in different populations [ 24 , 25 ]. We used the short form of the German version of the CES-D in our study (allgemeine Depressionsskala Kurzform (ADS-K)) [ 25 ]. The instrument comprises 15 statements regarding depression.…”

Section: Methodsmentioning

confidence: 99%

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PHQ-9, CES-D, health insurance data—who is identified with depression? A Population-based study in persons with diabetes

Linnenkamp

Gontscharuk

Ogurtsova

et al. 2023

Diabetol Metab Syndr

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Aims Several instruments are used to identify depression among patients with diabetes and have been compared for their test criteria, but, not for the overlaps and differences, for example, in the sociodemographic and clinical characteristics of the individuals identified with different instruments. Methods We conducted a cross-sectional survey among a random sample of a statutory health insurance (SHI) (n = 1,579) with diabetes and linked it with longitudinal SHI data. Depression symptoms were identified using either the Centre for Epidemiological Studies Depression (CES-D) scale or the Patient Health Questionnaire-9 (PHQ-9), and a depressive disorder was identified with a diagnosis in SHI data, resulting in 8 possible groups. Groups were compared using a multinomial logistic model. Results In total 33·0% of our analysis sample were identified with depression by at least one method. 5·0% were identified with depression by all methods. Multinomial logistic analysis showed that identification through SHI data only compared to the group with no depression was associated with gender (women). Identification through at least SHI data was associated with taking antidepressants and previous depression. Health related quality of life, especially the mental summary score was associated with depression but not when identified through SHI data only. Conclusion The methods overlapped less than expected. We did not find a clear pattern between methods used and characteristics of individuals identified. However, we found first indications that the choice of method is related to specific underlying characteristics in the identified population. These findings need to be confirmed by further studies with larger study samples.

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Messäquivalenz der Allgemeinen Depressionsskala (ADS 20) bei Menschen mit und ohne Migrationshintergrund unter geschlechtsspezifischer Perspektive

Abstract: The measurement invariance of the German CES-D 20 is given to that extent that meaningful comparisons in correlative coefficient and latent mean values can be made.

Cited by 6 publications

References 21 publications

Geschlechtsspezifische Unterschiede bezüglich Depressivität bei Migranten der ersten und zweiten Generation: Ergebnisse einer Querschnittsuntersuchung an Beschäftigten einer Universitätsklinik

Geschlechtsspezifische Unterschiede bezüglich Depressivität bei Migranten der ersten und zweiten Generation: Ergebnisse einer Querschnittsuntersuchung an Beschäftigten einer Universitätsklinik

The importance of statistical modelling in clinical research

PHQ-9, CES-D, health insurance data—who is identified with depression? A Population-based study in persons with diabetes

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