Study Protocol Using Cohort Data and Latent Variable Modeling to Guide Sampling Women With Type 2 Diabetes and...

Area of Science:

• Endocrinology and Metabolism
• Psychiatry and Mental Health
• Epidemiology

Background:

• Depression affects one in three women with Type 2 diabetes, increasing risks of complications and mortality.
• Underrecognition of depression stems from varied presentations and lack of biomarkers.
• Inflammation is a shared biological pathway implicated in both diabetes and depression.

Purpose of the Study:

• To examine associations between depressive symptoms, inflammation, and social determinants of health in women with Type 2 diabetes.
• To inform the development of precision health strategies for depression prevention and management in at-risk populations.

Main Methods:

• Observational correlational pilot study using existing longitudinal data from the Women's Interagency HIV Study (WIHS).
• Purposive sampling from latent subgroups based on depressive symptom trajectories.
• Analysis of plasma inflammatory markers (CRP, IL-6, TNF-α) and DNA methylation, alongside survey data on symptoms and social determinants.

Main Results:

• Hypothesizes that depressive symptom severity will correlate with higher inflammation.
• Anticipates associations between depressive symptoms, clinical indices (e.g., hemoglobin A1C), and social determinants (e.g., low income).

Conclusions:

• Findings will guide future research on improving outcomes for women with Type 2 diabetes.
• The study aims to inform targeted interventions for depression in this population.