Identifying Trajectories of Depressive Symptoms for Women Caring for Their Husbands with Dementia

Authors

  • Donald H. Taylor Jr PhD,

    1. From the *Center for Health Policy andTerry Sanford Institute of Public Policy andDepartment of Sociology, Vanderbilt University, Nashville, Tennessee; and§Center for the Study of Aging and Human DevelopmentDepartment of Biostatistics and Bioinformatics#Department of Community and Family Medicine, and**School of Nursing, Duke University Medical Center, Duke University, Durham, North Carolina††Geriatric Research, Education and Clinical Center, Durham Veterans Affairs Medical Center, Durham, North Carolina.
    Search for more papers by this author
  • Michael Ezell PhD,

    1. From the *Center for Health Policy andTerry Sanford Institute of Public Policy andDepartment of Sociology, Vanderbilt University, Nashville, Tennessee; and§Center for the Study of Aging and Human DevelopmentDepartment of Biostatistics and Bioinformatics#Department of Community and Family Medicine, and**School of Nursing, Duke University Medical Center, Duke University, Durham, North Carolina††Geriatric Research, Education and Clinical Center, Durham Veterans Affairs Medical Center, Durham, North Carolina.
    Search for more papers by this author
  • Maragatha Kuchibhatla PhD,

    1. From the *Center for Health Policy andTerry Sanford Institute of Public Policy andDepartment of Sociology, Vanderbilt University, Nashville, Tennessee; and§Center for the Study of Aging and Human DevelopmentDepartment of Biostatistics and Bioinformatics#Department of Community and Family Medicine, and**School of Nursing, Duke University Medical Center, Duke University, Durham, North Carolina††Geriatric Research, Education and Clinical Center, Durham Veterans Affairs Medical Center, Durham, North Carolina.
    Search for more papers by this author
  • Truls Østbye MD, PhD,

    1. From the *Center for Health Policy andTerry Sanford Institute of Public Policy andDepartment of Sociology, Vanderbilt University, Nashville, Tennessee; and§Center for the Study of Aging and Human DevelopmentDepartment of Biostatistics and Bioinformatics#Department of Community and Family Medicine, and**School of Nursing, Duke University Medical Center, Duke University, Durham, North Carolina††Geriatric Research, Education and Clinical Center, Durham Veterans Affairs Medical Center, Durham, North Carolina.
    Search for more papers by this author
  • Elizabeth C. Clipp PhD

    1. From the *Center for Health Policy andTerry Sanford Institute of Public Policy andDepartment of Sociology, Vanderbilt University, Nashville, Tennessee; and§Center for the Study of Aging and Human DevelopmentDepartment of Biostatistics and Bioinformatics#Department of Community and Family Medicine, and**School of Nursing, Duke University Medical Center, Duke University, Durham, North Carolina††Geriatric Research, Education and Clinical Center, Durham Veterans Affairs Medical Center, Durham, North Carolina.
    Search for more papers by this author

Address correspondence to Donald H. Taylor, Jr, 112 Rubenstein Hall, Box 90253, Duke University, Durham, NC 27708.
E-mail: dtaylor@duke.edu

Abstract

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 depressive symptoms (mean CES-D, 3.0/20, 22% of sample) and very low (mean CES-D, 0.8/20, 14% of sample). Approximately two-thirds of the sample members were in a depressive symptom trajectory, with substantially higher or lower numbers of symptoms than the overall mean. Two subjective measures asked of wife caregivers (desire for more help, life satisfaction) were significantly associated with membership in the highest depressive symptom trajectory.

CONCLUSION: LCTA identified important depressive symptom subgroups of wife caregivers. A population-averaging method identified a mean effect that was similar to the effect in one-third of the cases but substantially different from that in two-thirds of the cases.

Ancillary