Observational Study
Copyright ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Psychiatry. Apr 19, 2022; 12(4): 603-614
Published online Apr 19, 2022. doi: 10.5498/wjp.v12.i4.603
Dimensional (premenstrual symptoms screening tool) vs categorical (mini diagnostic interview, module U) for assessment of premenstrual disorders
Rifka Chamali, Rana Emam, Ziyad R Mahfoud, Hassen Al-Amin
Rifka Chamali, Department of Research, Weill Cornell Medicine - Qatar, Doha 00974, Qatar
Rana Emam, Department of Psychiatry, Hamad Medical Corporation, Doha 00974, Qatar
Ziyad R Mahfoud, Department of Medical Education, Weill Cornell Medicine - Qatar, Doha 00974, Qatar
Ziyad R Mahfoud, Division of Epidemiology, Department of Population of Health Sciences, Weill Cornell Medicine, New York 10065, NY, United States
Hassen Al-Amin, Department of Psychiatry, Weill Cornell Medicine - Qatar, Doha 00974, Qatar
Author contributions: Hassen A and Rana E designed the research; Rifka C performed the research; Ziyad M and Rifka C analyzed the data; all authors wrote the paper.
Supported by the Qatar National Research Fund, No. UREP 10-022-3-005.
Institutional review board statement: The study protocol was approved by the Institutional Review Boards of Hamad Medical Corporation and Weill Cornell Medicine in Doha, Qatar. Written signed informed consent was waived because the research presented no more than minimal risk or harm to the participants.
Informed consent statement: All study participants, or their legal guardian, provided informed written consent prior to study enrollment.
Conflict-of-interest statement: The authors have no competing interests.
Data sharing statement: Technical appendix, statistical code, and dataset available from the corresponding author at haa2019@qatar-med.cornell.edu. The data available include no identifiers.
STROBE statement: The authors have read the STROBE Statement—checklist of items, and the manuscript was prepared and revised according to the STROBE Statement—checklist of items.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Hassen Al-Amin, MD, Professor, Department of Psychiatry, Weill Cornell Medicine - Qatar, Education City, AlRayyan Street, Doha 00974, Qatar. haa2019@qatar-med.cornell.edu
Received: March 28, 2021
Peer-review started: March 28, 2021
First decision: October 4, 2021
Revised: October 23, 2021
Accepted: April 1, 2022
Article in press: April 1, 2022
Published online: April 19, 2022
Processing time: 380 Days and 9.3 Hours
ARTICLE HIGHLIGHTS
Research background

Premenstrual symptoms (PMS) are very common in child-bearing women and include several physical and emotional symptoms lasting for one week before menstruation. The premenstrual dysphoric disorder consists of the symptoms of PMS and, more significant depressive symptoms that affect the functioning of women. Some instruments measure the severity of these symptoms (Premenstrual Symptoms screening tool, PSST). Others assess the presence or absence of these symptoms and are usually used to diagnose if the premenstrual symptoms recur over two consecutive cycles (Mini international neuropsychiatric interview, module U).

Research motivation

As required by the Diagnostic and Statistical Manual of Mental Disorders, the daily recording of symptoms over two months is challenging to comply with regularly. Further, women might not receive the proper treatment if no adequate assessment or diagnosis is made. We believe that using appropriate scales like PSST that measures the severity of symptoms can be validated as tools for diagnosis.

Research objectives

To compare the scores of both PSST and MINI module U. We also calculated the cut-off scores on the dimensional PSST items by using the categorical MINI-U as a gold standard.

Research methods

We recruited eligible women from primary care centers. Two blinded raters independently administered the dichotomous Arabic MINI module U and the Arabic PSST to women. We compared the scores on the PSST items by MINI-U responses (Yes vs No) using the median and interquartile range. To determine the cut-off scores on the PSST (including sensitivity and specificity measures), we used the receiver operating characteristics analyses using the MINI-U answers as the gold standard.

Research results

According to the MINI-U, the most common symptoms were physical symptoms (86.7%), fatigue or lack of energy (74.4%), and anger or irritability (73.3%). Out of the 14 symptoms assessed, nine had a median score of 3 (moderate), four symptoms had a median rating of 2 (mild), and one symptom had a median rating of 1.5 (not at all to mild). Among the MINI-U dichotomous answers, all PSST ratings were significantly higher among participants who answered Yes (P < 0.01). The cut-off scores for the items on anger or irritability, anxiety or tension, decreased interest in work or home activities, overeating, hypersomnia, and physical symptoms were 2.5 on the corresponding PSST items. The balanced sensitivity and specificity values for all the corresponding cut-off scores were adequate, ranging from 0.50 to 0.83.

Research conclusions

Our results suggest that the severity measures of PSST can capture the PMDD cases with significantly severe symptoms who would benefit from treatment initiation. Furthermore, women with moderate/severe PMS symptoms have a higher rate of work absences and increased medical expenses. These women can, therefore, benefit from a prompt referral and timely treatment.

Research perspectives

Larger prospective studies are needed to further validate the utility of cut-off scores from PSST to confirm the diagnosis and justify the initiation of treatment.