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Cut-off values for the applied version of the Beck Depression Inventory in a general working population

Overview of attention for article published in Journal of Occupational Medicine and Toxicology, July 2015
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Title
Cut-off values for the applied version of the Beck Depression Inventory in a general working population
Published in
Journal of Occupational Medicine and Toxicology, July 2015
DOI 10.1186/s12995-015-0067-4
Pubmed ID
Authors

Uwe Rose, Stefanie March, Melanie Ebener, Jean-Baptist du Prel

Abstract

The Beck Depression Inventory (BDI) for the assessment of depressive symptoms is well established in clinical settings. An applied version (BDI-V) was previously developed in German for use within epidemiologic studies. The current study analyses the association between this applied version of the BDI and different measures of functioning. The aim is to determine BDI-V cut-off values when used in a population of employees. The study included 6339 employees of the first wave of a German cohort study on work, age, health and work participation. Depressive symptoms were assessed by an applied version of the BDI-V. Data on functioning were obtained from personal interviews. The determination of cut-off values is achieved with the min-max principle for classification applied to receiver operating characteristic (ROC) curves. The min-max principle points to a BDI-V cut-off between 20 and 24 for male and between 23 and 28 for female respondents. The corresponding sensitivities range between 0.64 and 0.75 for males and between 0.59 and 0.74 for females. Specificities range between 0.64 and 0.75 for males and between 0.60 and 0.74 for females. Female respondents have higher BDI-V cut-offs for all criteria. The range of values is lower than a recommendation in a former study. In addition to this, the values differ for gender. The current analyses focus on an easier-to-use version of the BDI formerly applied for epidemiologic studies. The determination of cut-off values is based on criteria which are indicators for impairment in (work) functioning in a population of employees. Therefore, grouping of individuals according to the reported cut-off values is guided by the relevance of these scores for occupational functioning.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 25%
Student > Bachelor 4 17%
Student > Doctoral Student 2 8%
Professor 2 8%
Student > Ph. D. Student 2 8%
Other 5 21%
Unknown 3 13%
Readers by discipline Count As %
Psychology 8 33%
Medicine and Dentistry 5 21%
Social Sciences 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Agricultural and Biological Sciences 1 4%
Other 3 13%
Unknown 4 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 September 2015.
All research outputs
#10,123,157
of 12,667,698 outputs
Outputs from Journal of Occupational Medicine and Toxicology
#177
of 264 outputs
Outputs of similar age
#163,922
of 238,615 outputs
Outputs of similar age from Journal of Occupational Medicine and Toxicology
#1
of 1 outputs
Altmetric has tracked 12,667,698 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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