Measurement Differences in Depression: Chronic Health-Related and Sociodemographic Effects in Older Americans
- 1 November 2008
- journal article
- research article
- Published by Ovid Technologies (Wolters Kluwer Health) in Psychosomatic Medicine
- Vol. 70 (9), 993-1004
- https://doi.org/10.1097/psy.0b013e31818ce4fa
Abstract
Objective: To evaluate the influence of five chronic health conditions (high blood pressure, heart conditions, stroke, diabetes, and lung diseases) and four sociodemographic characteristics (age, gender, education, and race/ethnicity) on the endorsement patterns of depressive symptoms in a sample of community-dwelling older adults. Method: Participants were adults aged ≥65 years from the 2004 Health and Retirement Study (n = 9448). Depressive symptoms were measured with a nine-item Center for Epidemiologic Studies-Depression scale. Measurement differences attributable to health and sociodemographic factors were assessed with a multidimensional model based on item response theory. Results: Evidence for unidimensionality was equivocal. We used a bifactor model to express symptom endorsement patterns as resulting from a general factor and three specific factors (“dysphoria,” “psychosomatic,” and “lack of positive affect”). Even after controlling for the effects of health on the psychosomatic factor, heart conditions, stroke, diabetes, and lung diseases had significant positive effects on the general factor. Significant effects due to gender and educational levels were observed on the “lack of positive affect” factor. Older adults self-identifying as Latinos had higher levels of general depression. On the symptom level, meaningful measurement noninvariance due to race/ethnic differences were found in the following five items: depressed, effort, energy, happy, and enjoy life. Conclusions: The increased tendency to endorse depressive symptoms among persons with specific health conditions is, in part, explained by specific associations among symptoms belonging to the psychosomatic domain. Differences attributable to the effects of health conditions may reflect distinct phenomenological features of depression. The bifactor model serves as a vehicle for testing such hypotheses. CES-D = Center for Epidemiological Studies-Depression; CVD = cardiovascular disease; NHLBI = National Heart, Lung and Blood Institute; NIH = National Institutes of Health; IRT = item response theory; HRS = Health and Retirement Study; AHEAD = Assets and Health Dynamics of the Oldest Old; ISR = Institute for Social Research; HRS/CES-D = modified CES-D used in HRS; DIF = Differential Item Functioning; EFA = exploratory factor analysis; CFA = confirmatory factor analysis; SEM = structural equation model; MIMIC = multiple indicators multiple causes; RMSEA = root mean square error of approximation; CFI = comparative fit index; CHF = congestive heart failure; DIFFTEST = χ2 difference testing.Keywords
This publication has 42 references indexed in Scilit:
- Center for Epidemiologic Studies—Depression scale (CES-D) item response bias found with Mantel-Haenszel method was successfully replicated using latent variable modelingJournal of Clinical Epidemiology, 2007
- Full-Information Item Bifactor Analysis of Graded Response DataApplied Psychological Measurement, 2007
- Assessment and Treatment of Depression in Patients With Cardiovascular Disease: National Heart, Lung, and Blood Institute Working Group ReportPsychosomatic Medicine, 2006
- Post-stroke and vascular depression: a critical reviewNeurological Sciences, 2002
- Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification.Psychological Methods, 1998
- The Effect of Gender and Race on the Measurement Properties of the CES-D in Older AdultsMedical Care, 1994
- Cerebral white matter lesions and atherosclerosis in the Rotterdam StudyThe Lancet, 1993
- Dichotomous Factor Analysis of Symptom DataSociological Methods & Research, 1989
- Modified parallel analysis: A procedure for examining the latent dimensionality of dichotomously scored item responses.Journal of Applied Psychology, 1983
- The CES-D ScaleApplied Psychological Measurement, 1977