Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan; Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan; and Department of Psychology, National Taipei University, Taipei, Taiwan
Ying-Sian Wu
School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan; and Department of Nursing, Taipei Veterans General Hospital, Yuli Branches, Hualien, Taiwan
Chun-Hsin Chen
Department of Psychiatry and Psychiatric Research Center, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan; and Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
Jiunn-Kae Wang
Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; and Department of Psychiatry, Shuang Ho Hospital, Taipei Medical University, New Taipei, Taiwan
Hsin-Chien Lee
Graduate Institute of Humanities in Medicine, College of Humanities & Social Sciences, Taipei Medical University, Taipei, Taiwan; and Department of Psychiatry & Sleep Center, Taipei Medical University Hospital, Taipei, Taiwan
Kuo-Hsuan Chung
Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; and Department of Psychiatry and Psychiatric Research Center, Taipei Medical University Hospital, Taipei, Taiwan
Yi-Hang Chiu
Department of Psychiatry and Psychiatric Research Center, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan
Kah Kheng Goh
Department of Psychiatry and Psychiatric Research Center, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan
Mong-Liang Lu
Department of Psychiatry and Psychiatric Research Center, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan; and Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
Yu-Chun Lin
Department of Nursing, College of Nursing, National Yang Ming Chiao Tung University, Taipei City, Taiwan; and Department of Nursing, College of Nursing, Efficient Smart Care Research Center, National Yang Ming Chiao Tung University, Taipei City, Taiwan
Pi-Chen Chang
School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan
Department of Nursing, College of Nursing, National Yang Ming Chiao Tung University, Taipei City, Taiwan; and Department of Nursing, College of Nursing, Efficient Smart Care Research Center, National Yang Ming Chiao Tung University, Taipei City, Taiwan
Background Few previous studies have established Snaith–Hamilton Pleasure Scale (SHAPS) cut-off values using receiver operating characteristic curve analysis and applied these values to compare predictors of anhedonia between clinical and nonclinical groups. Aims To determine the optimal cut-off values for the SHAPS and use them to identify predictors of anhedonia in clinical and nonclinical groups in Taiwan. Method This cross-sectional and correlational study used convenience sampling to recruit 160 patients from three hospitals and 412 students from two universities in northern Taiwan. Data analysis included receiver operating characteristic curve, univariate and multivariate analyses. Results The optimal SHAPS cut-off values were 29.5 and 23.5 for the clinical and nonclinical groups, respectively. Moreover, two-stage analysis revealed that participants in the clinical group who perceived themselves as nondepressed, and participants in the nonclinical group who did not skip classes and whose fathers exhibited higher levels of care and protection were less likely to attain the cut-off values. Conversely, participants in the nonclinical group who reported lower academic satisfaction and were unwilling to seek help from family or friends were more likely to attain the cut-off values. Conclusions Our findings highlight the importance of optimal cut-off values in screening for depression risk within clinical and nonclinical groups. Accordingly, the development of comprehensive, individualised programmes to monitor variation trends in SHAPS scores and relevant predictors of anhedonia across different target populations is crucial.
