AUTHOR=Han Jiali , Feng Yuan , Li Nanxi , Feng Lei , Xiao Le , Zhu Xuequan , Wang Gang 

TITLE=Correlation Between Word Frequency and 17 Items of Hamilton Scale in Major Depressive Disorder

JOURNAL=Frontiers in Psychiatry

VOLUME=Volume 13 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/psychiatry/articles/10.3389/fpsyt.2022.902873

DOI=10.3389/fpsyt.2022.902873

ISSN=1664-0640

ABSTRACT=Objective: To explore the correlation between word frequency and 17 items of the Hamilton Depression Scale (HAMD-17) in assessing the severity of depression in clinical interviews. Methods: This study included 70 patients with major depressive disorder (MDD) who were hospitalized in the Beijing Anding Hospital. Clinicians interviewed eligible patients, collected general information, disease symptoms, duration, and scored patients with HAMD-17. The words used by the patients during the interview were classified and extracted according to the HowNet sentiment dictionary, including positive evaluation words, positive emotional words, negative evaluation words, negative emotional words. Symptom severity was grouped according to the HAMD-17 score. ANOVA was used to analyze the four categories of words among the groups, and partial correlation analysis was used to analyze the correlation between the four categories of word frequencies based on HowNet sentiment dictionary and the HAMD-17 scale to evaluate the total score; Receiver operating characteristic (ROC) curves were used to determine meaningful cut-off values. Results: There was a significant difference in negative evaluation words between groups (P=0.032). After controlling for gender, age, years of education, age of onset, the number of attacks, and the disease course, the HAMD-17 total score was correlated with negative evaluation words (P=0.015, r=0.306) and negative emotional words (P=0.039, r=0.260), and negative evaluation words distinguished patients with mild and moderate-severe depression. The area under the curve is 0.693 (P=0.006) when the cut-off value is 8.48, the Youden index was 0.41, the sensitivity was 55.2%, and the specificity was 85.4%. Conclusion: In the clinical interview with MDD patients, the number of word frequencies based on HowNet sentiment dictionary may be beneficial in evaluating the severity of depressive symptoms.