Please use this identifier to cite or link to this item: http://dx.doi.org/10.23668/psycharchives.5089
Title: Data for: Dresden Predictor Study (DPS) of anxiety disorders and depression in young German Women
Authors: Zhang, XiaoChi
Becker, Eni S.
Schneider, Silvia
Margraf, Jürgen
Issue Date: 15-Jul-2000
Publisher: PsychArchives
Abstract: Dataset for: Trumpf, J., Margraf, J., Vriends, N., Meyer, A. H., & Becker, E. S. (2010). Predictors of specific phobia in young women: A prospective community study. Journal of Anxiety Disorders, 24(1), 87–93. https://doi.org/10.1016/j.janxdis.2009.09.002
Potential predictors of incidence of specific phobia were investigated within the conceptual framework of the vulnerability–stress model. At two time points separated by approximately 17 months, a community sample of 1261 German women (18–25 years of age) completed a structured interview. A broad range of potential stress- and vulnerability-related predictors was recorded at initial assessment. The strongest predictors of incidence were: high levels of preexisting psychopathology, a lack of coping skills, and a negative cognitive style. Assessing individual differences in stress and vulnerability thus seem to offer additional information about etiology of specific phobia beyond traditional learning theory. Incorporating the role of these risk factors may be useful for identifying individuals who are at increased risk and improving measures of prevention.
URI: https://hdl.handle.net/20.500.12034/4513
http://dx.doi.org/10.23668/psycharchives.5089
Citation: Zhang, X. C., Becker, E. S., Schneider, S., & Margraf, J. (2000). Data for: Dresden Predictor Study (DPS) of anxiety disorders and depression in young German Women [Data set]. PsychArchives. https://doi.org/10.23668/PSYCHARCHIVES.5089
Appears in Collections:Research Data

Files in This Item:
File Description SizeFormat 
DIPS_Data.csv
Public UseCC-BY 4.0
7,77 MBCSVDownload
Codebook_DPS_teil2.pdf
Public UseCC-BY 4.0
234,45 kBAdobe PDFDownload
Codebook_DPS_teil1.pdf
Public UseCC-BY 4.0
3,18 MBAdobe PDFDownload