Open AccessBody and Social Anhedonia of Depression: A Bifactor Model Analysis
Author(s) -
Bo Feng,
Yuan Jiang,
Yijun Li,
Xufeng Liu,
Shengjun Wu
Publication year - 2020
Publication title -
psychologica belgica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.511
H-Index - 33
eISSN - 2054-670X
pISSN - 0033-2879
DOI - 10.5334/pb.524
Subject(s) - anhedonia , psychology , depression (economics) , beck depression inventory , clinical psychology , affect (linguistics) , psychiatry , anxiety , schizophrenia (object oriented programming) , communication , economics , macroeconomics
The purpose of this study was to develop a statistical model of anhedonia of depression. The study included 748 healthy controls (350 women, 46.79%, age 21.27 ± 4.72) and 80 patients (32 women, 40%, age 38.36 ± 16.42). The Physical Anhedonia Scale (PhAS), the Social Anhedonia Scale (CSAS), the Positive and Negative Affect Scale (PANAS) and the Beck Depression Inventory(BDI) were administered. Classical Measurement Theory (CTT) and Item Response Theory (IRT) were applied to the collected data. We observed that the general factor of depression status was significantly related with positive emotion (r = –0.37, P < 0.05), negative emotion (r = 0.62, P < 0.05) and BDI (r = 0.48, P < 0.01). A significant difference also was observed between controls and patients. The bifactor model of anhedonia of depression provided a better fit to the data than a unidimensional model. The bifactor model appears to be useful to describe anhedonia in depression.