Śliwerski Andrzej, Koszałkowska Karolina
Institute of Psychology, University of Łódź, 90-136 Łódź, Poland.
Life (Basel). 2021 Nov 22;11(11):1278. doi: 10.3390/life11111278.
The diagnosis of premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) poses a challenge for clinicians due to the overdiagnosis of retrospective methods and overlapping symptoms with depression. The present study utilized an Item Response Theory analysis to examine the predictive utility of the Premenstrual Symptom Screening Tool (PSST) in women with and without depression. Two hundred and fifteen women aged 20-35 completed the PSST, a daily symptom calendar, SCID-I, and CES-D for two consecutive menstrual cycles. PSST items: fatigue, depressed mood, feeling overwhelmed, anxiety/tension, and decreased interest in everyday activities were the best predictors of PMS. Unlike the daily symptom ratings, the PSST over-diagnosed PMS/PMDD in the depressed group but not in the group of women without PMS/PMDD. While diagnosing premenstrual disorders, clinicians should be aware that a retrospective diagnosis with PSST can be more sensitive to mood disorders and cycle phases than a prospective diagnosis with a daily symptoms calendar.
经前综合征（PMS）和经前烦躁障碍（PMDD）的诊断对临床医生而言是一项挑战，因为回顾性方法存在过度诊断的问题，且症状与抑郁症有重叠。本研究采用项目反应理论分析，以检验经前症状筛查工具（PSST）在有抑郁症和无抑郁症女性中的预测效用。215名年龄在20至35岁之间的女性连续两个月经周期完成了PSST、每日症状日历、SCID-I和CES-D。PSST项目：疲劳、情绪低落、感觉不堪重负、焦虑/紧张以及对日常活动兴趣降低是PMS的最佳预测指标。与每日症状评分不同，PSST在抑郁症组中对PMS/PMDD存在过度诊断，但在无PMS/PMDD的女性组中则不然。在诊断经前疾病时，临床医生应意识到，与使用每日症状日历进行前瞻性诊断相比，使用PSST进行回顾性诊断对情绪障碍和月经周期阶段可能更敏感。
