RF16 | PSUN159 Poor Diet Habits, Depression and Low Physical Activity Correlate with Cardiometabolic Risk Markers in Persons with Severe Mental Illness on Second-Generation Antipsychotic Medications

• Published in: Journal of the Endocrine Society 2022-11, Vol.6 (Supplement_1), p.A422-A423
• Main Authors: Miedlich, Susanne, Akinbowale, Carol, Sahay, Priya, Olivares, Telva, Lamberti, Steven, Morse, Diane, Brazill, Kevin, Chhabra, Kavaljit, Bainbridge, Lauren
• Format: Article
• Language: English
• ISSN: 2472-1972; 2472-1972
• DOI: 10.1210/jendso/bvac150.879

Cardiovascular morbidity and mortality are high in persons with severe mental illness. Psychotropic medications, particularly second-generation antipsychotics (SGA), and also adverse health behaviors are mediators of adverse cardiometabolic health outcomes in persons with severe mental illness. Identifying and addressing specific risk factors early and aggressively is key to improving health outcomes in these patients; yet studies addressing the above problems are limited. We therefore evaluated 39 patients with schizophrenia, schizoaffective, or bipolar disorder on SGA in a comprehensive cardiometabolic, lifestyle, and mental health screening program. Data were analyzed using SPSS version 24. As previously reported, the majority of screened patients had prediabetes (PD) or diabetes mellitus (DM), 74% per oral Glucose Tolerance Testing (oGTT), 56% per HbA1c criteria. Pulse rates, insulin resistance indices (Homeostatic Model Assessment of Insulin Resistance, HOMA IR, and Matsuda) were significantly different between patients classified as normal or with PD/DM, using either oGTT or HbA1c criteria. However, patients with PD/DM per HbA1c, but not oGTT criterium, also had higher waist/hip ratios (p=0.01), triglyceride (p=0.01) and hsCRP levels (p=0.04) as well as lower HDL levels (p=0.04). We then determined whether dietary habits (by UK Diabetes and Diet Questionnaire, UKDDQ), mood (by Patient Health Questionnaire, PHQ-9) and/or physical activity (average daily step count) were associated with unfavorable, and potentially modifiable cardiometabolic biomarkers (fasting, 2h-oGTT plasma glucose, serum insulin, triglycerides, HDL, LDL, HbA1c, hsCRP and adiponectin). We find that fasting plasma glucose and triglyceride levels significantly correlated with UKDDQ scores (fasting plasma glucose: r=0.34, p=0.03, fasting triglyceride levels: r=0.37, p=0.02); a trend was observed for higher insulin resistance indices (HOMA IR) being associated with higher UKDDQ scores (r=0.31, p=0.06). We also confirm a strong negative correlation of the average daily step count with hsCRP levels (r=-0.62, p