Xiaoling Xiang1, Ruopeng An2, Hyunsung Oh3. 1. School of Social Work, University of Michigan, Ann Arbor. 2. Department of Kinesiology and Community Health, College of Applied Health Sciences, University of Illinois at Urbana-Champaign. 3. School of Social Work, Arizona State University, Phoenix.
Abstract
OBJECTIVES: This study aimed to examine the bidirectional relationship between depressive symptoms and homebound status among older adults. METHOD: The study sample included 7,603 community-dwelling older adults from the National Health and Aging Trends Study. A bivariate latent state-trait model of depressive symptoms and homebound status was estimated via structural equation modeling. RESULTS: The model fit the data well (Root Mean Square Error of Approximation = .02, Comparative Fit Index = .97, Standardized Root Mean Square Residual = .06). The relationship between homebound status and depressive symptoms can be decomposed into three parts: a moderate correlation between the stable trait components (r = .56, p <.001); a contemporary association of the state components (b = .17, p <.001); and bidirectional lagged effects between the state components. Change in homebound status was as a stronger predictor of depressive symptoms (b = .19, p < .001) than change in depressive symptoms was of homebound status (b = .06, p < .001; test of difference: Δ scaled χ2(1) = 24.2, p < .001). DISCUSSION: Homebound status and depressive symptoms form a feedback loop to influence each other. Improving the outdoor mobility of older adults may have immediate benefits for reducing depressive symptoms.
OBJECTIVES: This study aimed to examine the bidirectional relationship between depressive symptoms and homebound status among older adults. METHOD: The study sample included 7,603 community-dwelling older adults from the National Health and Aging Trends Study. A bivariate latent state-trait model of depressive symptoms and homebound status was estimated via structural equation modeling. RESULTS: The model fit the data well (Root Mean Square Error of Approximation = .02, Comparative Fit Index = .97, Standardized Root Mean Square Residual = .06). The relationship between homebound status and depressive symptoms can be decomposed into three parts: a moderate correlation between the stable trait components (r = .56, p <.001); a contemporary association of the state components (b = .17, p <.001); and bidirectional lagged effects between the state components. Change in homebound status was as a stronger predictor of depressive symptoms (b = .19, p < .001) than change in depressive symptoms was of homebound status (b = .06, p < .001; test of difference: Δ scaled χ2(1) = 24.2, p < .001). DISCUSSION: Homebound status and depressive symptoms form a feedback loop to influence each other. Improving the outdoor mobility of older adults may have immediate benefits for reducing depressive symptoms.
Authors: Thomas M Richardson; Bruce Friedman; Carol Podgorski; Kerry Knox; Susan Fisher; Hua He; Yeates Conwell Journal: Am J Geriatr Psychiatry Date: 2012-04 Impact factor: 4.105
Authors: Claire K Ankuda; Mohammed Husain; Evan Bollens-Lund; Bruce Leff; Christine S Ritchie; Shelley H Liu; Katherine A Ornstein Journal: J Am Geriatr Soc Date: 2021-03-08 Impact factor: 5.562
Authors: Katherine A Ornstein; Shelley H Liu; Mohammed Husain; Claire K Ankuda; Evan Bollens-Lund; Amy S Kelley; Melissa M Garrido Journal: J Am Geriatr Soc Date: 2021-12-23 Impact factor: 5.562