OBJECTIVES-To use an innovative statistical method, Latent Class Trajectory Analysis (LCTA), to identify and describe subgroups (called trajectories) of caregiver depressive symptoms in a national sample of wives providing informal care for their husbands with dementia.
DESIGN-Longitudinal.
SETTING-Community.PARTICIPANTS-Respondents to the National Longitudinal Caregiver Survey were wife caregivers of veterans with dementia who were identified through Veterans Affairs hospitals nationally.
MEASUREMENTS-Mean number of depressive symptoms as measured using the Center for Epidemiologic Studies Depression scale (CES-D, 20-item scale).RESULTS-Overall mean depressive symptoms of wife caregivers were 6.2 of 20, below the cutpoint (8 or 9/20) associated with clinical depression. Four distinct trajectories of caregiver depressive symptoms were identified. The trajectory with the highest number of symptoms (11.9 of 20), contained one-third of the sample. Another third had mean depressive symptoms virtually identical to the overall sample mean. The final third were divided between two trajectories, low © 2007, Copyright the Authors Address correspondence to: Donald H. Taylor, Jr, 112 Rubenstein Hall, Box 90253, Duke University, Durham, NC 27708. dtaylor@duke.edu. Author Contributions: All authors made substantial contributions to the conception and design, or analysis and interpretation of the data; the drafting of the manuscript; and have approved of this version of the manuscript.
Conflict of Interest:This work was supported by Grant 1RO1 NR008763-01A1 from the National Institute of Nursing Research, National Institutes of Health. The editor in chief has reviewed the authors' personal and financial conflict of interest checklist and has determined that none have any conflicts related to this article. Applying LCTA to analyze depressive symptoms of spousal caregivers is of interest for several reasons. First, although caregiving and its effect on caregiver depressive symptoms has been studied previously, 10,11 little is known about the nature of depressive symptom trajectories (empirically distinct patterns of change over time). LCTA is designed to identify the number and nature of trajectories that exist in a sample. 12 Second, most caregiver depression research has relied on statistical methods that identify variability around a common mean, presuming this measure of central tendency to be the key descriptor of the overall population, but unique distributions of trajectories across distinct subgroups could produce similar population averages. 12 LCTA is designed specifically to identify any such variability that is meaningful from a statistical standpoint, and there is reason to believe that groups of individuals respond differently to caregiving. Furthermore, the presence of distinct trajectories could have strong clinical and policy implications, making the use of this method potentially useful for identifying and responding to at-risk caregivers.
NIH Public AccessThe purpose of this article is to use an innov...