Explanatory models of mental illness among working professionals diagnosed with bipolar or depression in the United States.

Abstract

People diagnosed with mental illness develop a variety of explanatory models of their conditions in the face of uncertainty. Explanatory models matter because they are associated with internalized stigma and illness behaviors such as treatment preferences. This paper explores how working professionals in the United States draw on biological and/or environmental factors to explain the cause(s) of their diagnoses of bipolar or depression. Findings are derived from an analysis of transcripts of in-depth interviews with 52 individuals from across the United States who were invited to participate in a study of working professionals diagnosed with mental illness. About 25 self-identified as having bipolar disorder and 27 as having major depression. Transcript data were analyzed following the principles of flexible coding with the goal of establishing a typology of explanatory models of self-identified bipolar versus depression. Six types of explanatory models emerged from the analysis. One was exclusively biological, a second was exclusively environmental, and the remaining four combined biological and environmental factors in different ways. Quotations from the interviews are provided to illustrate each type, and comparisons between types are made based on primary diagnosis (bipolar vs. depression), and self-reports of trauma and stressful experiences. Implications for the future research on explanatory models and how they may impact people who are diagnosed with a mental illness across multiple dimensions of their lives are presented.