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Journal articles
Usefulness of a single-item measure of depression to predict mortality: the GAZEL prospective cohort study.: single-item of depression and mortality
Abstract : BACKGROUND: It remains unknown whether short measures of depression perform as well as long measures in predicting adverse outcomes such as mortality. The present study aims to examine the predictive value of a single-item measure of depression for mortality. METHODS: A total of 14,185 participants of the GAZEL cohort completed the 20-item Center-for-Epidemiologic-Studies-Depression (CES-D) scale in 1996. One of these items (I felt depressed) was used as a single-item measure of depression. All-cause mortality data were available until 30 September 2009, a mean follow-up period of 12.7 years with a total of 650 deaths. RESULTS: In Cox regression model adjusted for baseline socio-demographic characteristics, a one-unit increase in the single-item score (range 0-3) was associated with a 25% higher risk of all-cause mortality (95% CI: 13-37%, P<0.001). Further adjustment for health-related behaviours and physical chronic diseases reduced this risk by 36% and 8%, respectively. After adjustment for all these variables, every one-unit increase in the single-item score predicted a 15% increased risk of death (95% CI: 5-27%, P<0.01). There is also an evidence of a dose-reponse relationship between reponse scores on the single-item measure of depression and mortality. CONCLUSION: This study shows that a single-item measure of depression is associated with an increased risk of death. Given its simplicity and ease of administration, a very simple single-item measure of depression might be useful for identifying middle-aged adults at risk for elevated depressive symptoms in large epidemiological studies and clinical settings.
https://www.hal.inserm.fr/inserm-00816922
Contributor : Annie Schmaus Connect in order to contact the contributor
Submitted on : Tuesday, April 23, 2013 - 11:39:46 AM
Last modification on : Wednesday, October 20, 2021 - 12:24:15 AM
Long-term archiving on: : Thursday, July 25, 2013 - 11:23:04 AM
Contributor : Annie Schmaus Connect in order to contact the contributor
Submitted on : Tuesday, April 23, 2013 - 11:39:46 AM
Last modification on : Wednesday, October 20, 2021 - 12:24:15 AM
Long-term archiving on: : Thursday, July 25, 2013 - 11:23:04 AM
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