1,369
Views
17
CrossRef citations to date
0
Altmetric
Articles

Psychosocial predictors of the fear of childbirth in Turkish pregnant women

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 123-131 | Received 08 Jun 2019, Accepted 21 Feb 2020, Published online: 02 Mar 2020
 

Abstract

Introduction

Fear of childbirth (FOC) affects women’s emotional health, preparation for birth, and outcomes of birth. Identifying the predictors of FOC can aid in identifying strategies for reducing women’s FOC.

Objective

This descriptive, cross-sectional study was aimed at determining the psychosocial predictors of FOC in pregnant women.

Methods

The participants were 624 nulliparous and multiparous pregnant women in their last trimester. Data were collected using a personal information form, Wijma Delivery Expectancy/Experience Questionnaire A, Childbirth Self-Efficacy Inventory, Multidimensional Scale of Perceived Social Support, State-Trait Anxiety Inventory, and Prenatal Self-Evaluation Questionnaire. Hierarchical regression analysis was performed to determine the predictors of FOC.

Results

FOC was high among this study’s participants and severe for one fifth of them. The psychosocial variables predicting FOC were self-efficacy and trait anxiety level, and spousal support was found to be a mediator variable in the relationship between self-efficacy and FOC.

Conclusion

The findings suggest that psychosocial variables are key to predicting FOC.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.