Roh Soonhee, Burnette Catherine E, Lee Kyoung Hag, Lee Yeon-Shim, Martin James I, Lawler Michael J
University of South Dakota, Sioux Falls, USA
Tulane University, New Orleans, LA, USA.
J Appl Gerontol. 2017 Jan;36(1):94-115. doi: 10.1177/0733464814558875. Epub 2014 Nov 21.
American Indian (AI) older adults are vulnerable to mental health disparities, yet very little is known about the factors associated with help-seeking for mental health services among them. The purpose of this study was to investigate the utility of Andersen's Behavioral Model in explaining AI older adults' help-seeking attitudes toward professional mental health services. Hierarchical regression analysis was used to examine predisposing, enabling, and need variables as predictors of help-seeking attitudes toward mental health services in a sample of 233 AI older adults from the Midwest. The model was found to have limited utility in the context of older AI help-seeking attitudes, as the proportion of explained variance was low. Gender, perceived stigma, social support, and physical health were significant predictors, whereas age, perceived mental health, and health insurance were not.
美国印第安(AI)老年人容易出现心理健康差异,但对于影响他们寻求心理健康服务的相关因素却知之甚少。本研究的目的是调查安德森行为模型在解释AI老年人对专业心理健康服务的求助态度方面的效用。采用分层回归分析,以来自美国中西部的233名AI老年人为样本,检验 predisposing、促成因素和需求变量作为对心理健康服务求助态度的预测指标。研究发现,该模型在AI老年人求助态度方面的效用有限,因为可解释方差的比例较低。性别、感知到的耻辱感、社会支持和身体健康是显著的预测指标,而年龄、感知到的心理健康和健康保险则不是。