Abstract: WITHDRAWN: Profiles and Predictors of Co-Occurring Substance Abuse, Mental Health, and Health-Related Quality of Life Conditions Among American Indian Adults Living with Type 2 Diabetes (Society for Prevention Research 26th Annual Meeting)

354 WITHDRAWN: Profiles and Predictors of Co-Occurring Substance Abuse, Mental Health, and Health-Related Quality of Life Conditions Among American Indian Adults Living with Type 2 Diabetes

Schedule:
Thursday, May 31, 2018
Columbia A/B (Hyatt Regency Washington, Washington, DC)
* noted as presenting author
Dane Hautala, PhD, Postdoctoral Research Associate, University of Minnesota Medical School, Duluth Campus, Duluth, MN
Melissa Walls, PhD, Associate Professor, University of Minnesota Medical School, Duluth campus, Duluth, MN
Background:

American Indians have among the highest rates of type 2 diabetes and associated comorbid risks of any racial/ethnic groups in the United States. Mental and physical health comorbidities are common among people living with type 2 diabetes, and are often associated with poorer behavioral, psychological, and physiological diabetes outcomes. Less is known, however, about the role of substance use problems among people living with type 2 diabetes, its possible comorbid associations with mental and physical health conditions, and its relation to diabetes-specific outcomes.

Purpose:

The purpose of the study is to examine the overlap among substance abuse, mental health problems and physical health-related quality of life, and their associations with diabetes-related outcomes among a sample of American Indian adults recently diagnosed with type 2 diabetes.

Method:

Data are from a four-wave longitudinal study of five tribal reservation communities in Minnesota and Wisconsin (N = 191). Substance use (i.e., daily cigarette smoking, alcohol and other substance use problems), mental health (i.e., depressive symptoms, anxiety symptoms), and physical health-related quality of life (i.e., functional limitations, self-rated physical health) indicators at baseline were examined within a latent class analysis framework to identify subgroups of individuals who share common comorbidity patterns. Latent classes were used as predictors of distal diabetes-related outcomes at six-month follow-up.

Results:

Three classes were identified: low health-related comorbidities (52.8%), moderate mental and physical health-related comorbidities (32.5%), and high mental health symptoms/moderate physical health-related comorbidities (14.1%). Being female increased the odds, whereas age and per capita family income decreased the odds of high mental health/moderate physical health limitations class membership compared to the other two classes. Compared to the low health-related comorbidities class, individuals in the other two classes had lower mean levels of diabetes-related empowerment, diabetes-related social support, and healthy eating days. Compared to the moderate mental and physical health-related comorbidities class, individuals in the other two classes had higher mean levels of physical activity days and body mass index.

Implications:

Identifying distinct comorbidity patterns may aid in the development of targeted interventions aimed at improving quality of life among people living with T2D and improving long-term diabetes outcomes.