TY - JOUR
T1 - Depression in rheumatoid arthritis patients
T2 - demographic, clinical, and psychological predictors
AU - Covic, Tanya
AU - Tyson, Graham
AU - Spencer, David
AU - Howe, Graydon
N1 - Imported on 12 Apr 2017 - DigiTool details were: Journal title (773t) = Journal of Psychosomatic Research. ISSNs: 0022-3999;
PY - 2006
Y1 - 2006
N2 - Objective To confirm the prevalence of depression in a sample of rheumatoid arthritis (RA) patients; to identify the most significant predictors of depression in RA and to explore patients attitudes to medication in relation to depression. Methods A cross-sectional survey was used to collect data from 134 RA patients (77% female, 23% male). Participants were divided into depressed and nondepressed groups based on their scores on the Center for Epidemiological Studies-Depression (CES-D) scale. Discriminant analysis was conducted to identify the predictors that would best categorise patients into those two groups. Results Twelve predictors correctly classified 80% of patients into depressed or nondepressed groups. The strongest predictors of depression were high tension and low self-esteem followed by the perceived impact of RA, fatigue, passive coping, pain, and physical disability. Other predictors included medication effectiveness and importance as well as perceived lack of control over pain. Conclusion Both physical and psychological factors have an impact on depression in RA. The key predictors identified in this study need to be considered within the regular RA management as possible cues to depression development.
AB - Objective To confirm the prevalence of depression in a sample of rheumatoid arthritis (RA) patients; to identify the most significant predictors of depression in RA and to explore patients attitudes to medication in relation to depression. Methods A cross-sectional survey was used to collect data from 134 RA patients (77% female, 23% male). Participants were divided into depressed and nondepressed groups based on their scores on the Center for Epidemiological Studies-Depression (CES-D) scale. Discriminant analysis was conducted to identify the predictors that would best categorise patients into those two groups. Results Twelve predictors correctly classified 80% of patients into depressed or nondepressed groups. The strongest predictors of depression were high tension and low self-esteem followed by the perceived impact of RA, fatigue, passive coping, pain, and physical disability. Other predictors included medication effectiveness and importance as well as perceived lack of control over pain. Conclusion Both physical and psychological factors have an impact on depression in RA. The key predictors identified in this study need to be considered within the regular RA management as possible cues to depression development.
U2 - 10.1016/j.jpsychores.2005.09.011
DO - 10.1016/j.jpsychores.2005.09.011
M3 - Article
SN - 0022-3999
VL - 60
SP - 469
EP - 476
JO - Journal of Psychosomatic Research
JF - Journal of Psychosomatic Research
IS - 5
ER -