Clin Diabetes Endocrinol. 2024 Jul 17;10(1):21. doi: 10.1186/s40842-024-00180-x.
ABSTRACT
INTRODUCTION: Type 2 diabetes disproportionately affects non-Hispanic/Latino Black and Hispanic/Latino youth. The purpose of this study was to examine whether differences in metabolic risk factors and depressive symptoms exist by race/ethnicity and socioeconomic deprivation and whether these impact clinic attendance and health markers over 1 year in a multidisciplinary type 2 diabetes clinic for youth.
METHODS: This study was a retrospective chart review of 54 youth with type 2 diabetes who had both an initial and follow-up visit. Demographic information, metabolic health markers [body mass index (BMI), hemoglobin A1C, liver enzymes, lipid panel, and urine microalbumin], depressive symptoms, and clinic attendance data were obtained from the medical record. Patient address was geocoded to the census tract level to calculate community socioeconomic deprivation.
RESULTS: Liver enzymes (ALT and AST) were significantly higher in patients identifying as Hispanic/Latino (ALT M = 97.0 ± 40.6, AST M = 53.6 ± 21.4) and lowest in patients identifying as non-Hispanic/Latino Black (ALT M = 23.1 ± 11.3, F = 10.6 p < .001; AST M = 23.1 ± 11.4, F = 8.1; p < .001) at initial visit. From initial visit to follow-up, there were significant improvements in ALT (F = 13.43, p < .001), AST (F = 6.58, p < .05), and BMIz (F = 18.39, p < .001). Patients identifying as Black or Hispanic showed an increase in depressive symptoms over time, while patients identifying as non-Hispanic White showed a decrease (F = 11.08; p < .05). Unexpectedly, patients living in areas with higher socioeconomic deprivation showed a decrease in hemoglobin A1C over time, while patients living in lower socioeconomic deprivation showed an increase (F = 5.15, p < .05).
CONCLUSIONS: Differences exist in metabolic health parameters by race/ethnicity and by socioeconomic deprivation. Multidisciplinary care for youth with type 2 diabetes needs to consider and work to address the systems of inequity experienced by patients that drive disparities in health outcomes.
PMID:39014453 | DOI:10.1186/s40842-024-00180-x
