Analyses of medical coping styles and related factors among female patients undergoing in vitro fertilization and embryonic transfer

Liwen Shen and Lanfeng Xing

PLOS ONE, 2020, vol. 15, issue 4, 1-12

Abstract: Objective: This study investigated the medical coping styles of female patients treated with in vitro fertilization and embryonic transfer (IVF-ET), and analyzed the effects of alexithymia and social support on their choice of coping style. Methods: A survey was conducted with 285 female patients undergoing IVF-ET in a reproductive medical center of a third-grade class-A hospital in China using the Medical Coping Modes Questionnaire, the Social Support Rating Scale, and the Toronto Alexithymia scale. Results: Patients who underwent IVF-ET treatment had a higher score for avoidance as a coping mode than did normal controls. Utilization of social support predicted the use of confrontation as a coping style. Difficulty identifying feelings, objective support, and utilization of social support were factors in the choice of avoidance as a coping style, and length of infertility treatment, difficulty identifying feelings, and subjective support predicted patients’ use of the acceptance-resignation as a coping style. Conclusion: Patients who undergo IVF-ET generally select the coping style of avoidance, which is not conducive to treatment. Targeted intervention strategies should be developed based on the factors influencing patients’ choice of coping style(s) to guide them in choosing positive coping methods, improve compliance, and achieve successful pregnancy outcomes.

Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0231033 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 31033&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0231033

DOI: 10.1371/journal.pone.0231033

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().