Work

Biases in Short-Term Mood Prediction in Individuals with Depression and Anxiety Symptoms

Year: 2013

Type: article

Abstract: We used ecological momentary assessment to explore depressive and anxious biases in within-day negative and positive mood predictions. Participants (N = 120) who were higher in depression symptoms demonstrated stronger biases (i.e., were more pessimistically biased) in the prediction of negative mood and weaker biases (i.e., were less optimistically biased) in the prediction of positive mood (b01 = .002, SE = .001, p = .031 and b01 = -.008, SE = .002, p < .001, respectively). Anxiety symptoms were not associated with short-term mood prediction biases (p's > .10). Such biases might influence daily decisions and experiences as well as impact longer-term outcomes. Limitations and future research directions are discussed.

Source: Individual Differences Research

DOI: 10.65030/idr.11009

Authors: Susan J. Wenze, Kathleen C. Gunthert, Anthony H. Ahrens, T. C. Taylor Bos

Institution: American University

Language: English

Topic: Mental Health Research Topics

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Institute of Mental Health