142nd APHA Annual Meeting and Exposition

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Health-Related Quality of Life as a Predictor of Major Depressive Episodes in the United States Adult Population: Results from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC)

142nd APHA Annual Meeting and Exposition (November 15 - November 19, 2014): http://www.apha.org/events-and-meetings/annual
Wednesday, November 19, 2014

Liming Dong , Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
Edward Hammond , Dept. of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
Rosa Crum , Departments of Epidemiology, Psychiatry, and Mental Health, Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD
Joseph Gallo , Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
Glenn Treisman , Department Psychiatry and Behavioral Sciences, Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
William Eaton, PhD , Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
Objective: To determine the association between health-related quality of life (HRQoL) and onset of major depressive episodes (MDE), and to develop a prediction model to estimate the risk for depression. Methods:  We examined a nationally representative sample of 30,333 adults aged between 18 and 85 years from the National Epidemiologic Survey on Alcohol and Related Conditions, who were free of MDE in the year prior to the Wave 1 (2001-2002) interview, and completed both Wave 1 and Wave 2 (2004-2005) interviews. We fit a logistic regression model to assess the association between HRQoL, measured by the Medical Outcomes Study 12-Item Short-Form Health Survey (SF-12), and onset of MDE between Wave 1 and Wave 2. A point system was developed to estimate the risk for depression. Results: Decreasing Physical Component Summary (PCS) and Mental Component Summary (MCS) scores of SF-12 were associated with increased odds of MDE. A multivariate prediction model for depression based on the PCS and MCS scores, retained age, gender, ethnicity, working status, prior history of MDE, number of other lifetime mental disorders, and number of stressful life events in the past year as predictors. The point system ranges from -4 to 29, and displays good discrimination (c-statistic=0.73, 95%CI: 0.718, 0.739) and calibration (P>0.05). Each point increase represents a 17% increased odds of depression (OR=1.17, 95% CI: 1.16, 1.18; P<0.001). Conclusions: Lower HRQoL is associated with increased risk for MDE. The point system has potential to identify individuals at high risk for MDE, especially in primary care settings.

Learning Areas:

Biostatistics, economics
Chronic disease management and prevention
Communication and informatics
Diversity and culture
Epidemiology
Social and behavioral sciences

Learning Objectives:
Demonstrate the association between health-related quality of life (HRQoL) and onset of major depressive episodes (MDE). Describe a prediction model to estimate the risk for depression from HRQoL measures.

Keyword(s): Depression, Quality of Life

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am a predoctoral student in the Department of Mental Health at the Johns Hopkins Bloomberg School of Public Health. I have completed courses in Statistical Methods (I, II, III and IV), Epidemiologic Methods (I, II and III), Psychiatric Epidemiology and Psychopathology. Prior to my doctoral training, I completed an MHS degree in Health Economics, which familiarizes me with the concept and application of health related quality of life.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.