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The effect of computer-based Stress Inoculation Training (SIT) approach on the pelvic pain, depression, and anxiety in students with primary dysmenorrhea: a clinical trial study
Primary dysmenorrhea (PD) is one of the most common pains experienced by women. Stress Inoculation Training (SIT) is a cognitive-behavioral technique that immunizes them against future periods of stress. The purpose of this research is to investigate the effectiveness of a computer-based stress inoc...
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Published in: | BMC medical education 2024-12, Vol.24 (1), p.1425-14 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | Primary dysmenorrhea (PD) is one of the most common pains experienced by women. Stress Inoculation Training (SIT) is a cognitive-behavioral technique that immunizes them against future periods of stress. The purpose of this research is to investigate the effectiveness of a computer-based stress inoculation approach on pelvic pain, depression, and anxiety symptoms in students with PD.
The present study is a clinical trial conducted on 100 students with PD. The SIT intervention consisted of eight consecutive sessions. The content of the sessions was created as multimedia on a computer platform of a site. In each session, several interactive questions were asked about the topics of that session, and participants answered them, with responses recorded in the system. Then, each individual session, lasting about 50 min, was sent as a link (offline) to a participant. Data collection tools included the demographics Checklist, McGill Pain Questionnaire (MPQ), Moos Menstrual Distress Questionnaire (MMDQ), Hospital Anxiety and Depression Scale (HADS), Pain Self-Efficacy Questionnaire (PSEQ), and Perceived Stress Scale (PSS-14), which were completed on the second menstrual day of the cycle before the study and for three consecutive cycles after the intervention by each student. The data were analyzed using chi-square, generalized linear mixed models (GLMM), and multiple linear regression tests. The significance level was set at P |
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ISSN: | 1472-6920 1472-6920 |
DOI: | 10.1186/s12909-024-06420-z |