CONTEXT AND PURPOSE: Depression among rural women is a major public health concern. The purpose of this study was to test the competing theories of social causation and social selection to assess the relationship between depression and economic status for a sample of rural, low-income women in the United States. METHODS: Structural equation modeling was used to analyze data from Rural Families Speak, a US Department of Agriculture-funded multi-state, longitudinal study of rural low-income families (N = 413). FINDINGS: Results indicated that the social causation theory yielded a better approximation of the relationship between economic status and depression (RMSEA = 0.50 for a model based on this theory) than the social selection theory (RMSEA = 0.067). CONCLUSIONS: The association between lesser economic status and depressive symptoms is pressing in rural areas, given the high prevalence of both depression and poverty. These findings further emphasize the need for improved mental health services in this vulnerable population.
CONTEXT AND PURPOSE:Depression among rural women is a major public health concern. The purpose of this study was to test the competing theories of social causation and social selection to assess the relationship between depression and economic status for a sample of rural, low-income women in the United States. METHODS: Structural equation modeling was used to analyze data from Rural Families Speak, a US Department of Agriculture-funded multi-state, longitudinal study of rural low-income families (N = 413). FINDINGS: Results indicated that the social causation theory yielded a better approximation of the relationship between economic status and depression (RMSEA = 0.50 for a model based on this theory) than the social selection theory (RMSEA = 0.067). CONCLUSIONS: The association between lesser economic status and depressive symptoms is pressing in rural areas, given the high prevalence of both depression and poverty. These findings further emphasize the need for improved mental health services in this vulnerable population.
Authors: Deanna M Barch; Andy C Belden; Rebecca Tillman; Diana Whalen; Joan L Luby Journal: J Am Acad Child Adolesc Psychiatry Date: 2017-12-28 Impact factor: 8.829
Authors: Deanna Barch; David Pagliaccio; Andy Belden; Michael P Harms; Michael Gaffrey; Chad M Sylvester; Rebecca Tillman; Joan Luby Journal: Am J Psychiatry Date: 2016-01-15 Impact factor: 18.112