Korean J Obstet Gynecol.  2006 Jan;49(1):70-75.

A Standardization Study of Korean DFS (Delivery Fear Scale) in fear of childbirth

Affiliations
  • 1Department of Obstetrics and Gynecology, College of Medicine, Catholic University of Korea. ksajin@catholic.ac.kr
  • 2Department of Psychiatry, College of Medicine, Catholic University of Korea.

Abstract


OBJECTIVE
The study shows that the DFS is a questionnaire that almost effortlessly can be completed within 60-90 seconds during any moment of labor and delivery. The aim of the present study was to test the validity and reliability of the DFS, to identify its factor structure in Korea.
METHODS
Review of the medical records from the department of obstetrics and gynecology from January to April 2005, a confirmed 51 patients with the diagnosis of singleton pregnancy without medical or obstetrical complications, being in 37-42 weeks. 22 primiparous and 29 multiparous women answered the Delivery Fear Scale (DFS) once during active labor, and the STAI (State-Trait Anxiety Inventory) after delivery. Reliability test to calculate Chronbach alpha and validity test to measure correlation between DFS and STAI was done. Then factor analysis was applied with the method of principal component analysis and varimax rotation.
RESULTS
Korean version of DFS proved to be a reliable and valid scale statistically: Cronbach's alpha was 0.7182 in study.
CONCLUSION
Women's psychological experiences during the actual process of labor and delivery are essential part of obstetrical care. Nevertheless, studies examining psychological variables concerning childbirth, are mostly performed before or after labor. The DFS measures fear during labor and delivery in an effortless and fast away. The development of the Korean version of DFS which is reliable and valid, and consists of three sub-factors may facilitate future research in the field.

Keyword

DFS; STAI; Standardization in Korean

MeSH Terms

Anxiety
Diagnosis
Female
Gynecology
Humans
Korea
Medical Records
Obstetrics
Parturition*
Pregnancy
Principal Component Analysis
Surveys and Questionnaire
Reproducibility of Results
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