SOCIODEMOGRAPHIC AND COMORBIDITY FACTORS INFLUENCE MASLD RISK IN TYPE 2 DIABETES
Author(s)
Asmita Priyadarshini Khatiwada, MPharm, Surachat Ngorsuraches, PhD;
Auburn University, Auburn, AL, USA
Auburn University, Auburn, AL, USA
OBJECTIVES: Considering the burden of metabolic dysfunction-associated steatotic liver disease (MASLD) in individuals with type 2 diabetes (T2D), this study aimed to identify factors associated with MASLD among adults with T2D.
METHODS: A retrospective cross-sectional study using data from adults with T2D, with electronic health records (EHR), and who completed ‘The Basics’ and ‘Social determinants of health (SDOH)’ surveys, in the “All of Us” Research Program, from 2021 to 2023 was conducted. MASLD was identified using ICD-9/10 and SNOMED codes. Various factors, including age, gender, race/ethnicity, health insurance, education, employment, household income, comorbidity burden measured by the Charlson Comorbidity Index (CCI), and two SDOH (i.e., deprivation index and food insecurity), were examined. Descriptive and multiple logistic regression analyses (with adjusted odds ratios, aORs) were conducted using Python. A significance level of 0.05 was set.
RESULTS: Among 26,246 T2D patients identified, 8.2% had a recorded diagnosis of MASLD. Their average age was 63.3 years. Most patients were female (56.6%). Approximately 38% of them had a high comorbidity burden (CCI >3). About 23% reported food insecurity. Their average deprivation index was 0.3. Patients with CCI ≥ 3 (vs. CCI<3, aOR: 2.30), females (vs. male, aOR: 1.31), Hispanics (vs. non-Hispanic Whites, aOR: 1.22), and those with less than college education (vs. college education and higher, aOR: 1.13) significantly had higher odds of MASLD, while patients with income >$100k (vs. income < $50k, aOR: 0.84), those who are retired (vs. employed, aOR:0.83), older individuals (aOR: 0.97), and non-Hispanic Black individuals (vs. non-Hispanic Whites, aOR: 0.50) significantly had lower odds of MASLD. Neither the deprivation index nor food insecurity was a significant factor.
CONCLUSIONS: MASLD in T2D was more strongly related to sociodemographic and comorbidity burden than to SDOH factors. Future work needs to examine if broader social and structural factors contribute to the risk of MASLD.
METHODS: A retrospective cross-sectional study using data from adults with T2D, with electronic health records (EHR), and who completed ‘The Basics’ and ‘Social determinants of health (SDOH)’ surveys, in the “All of Us” Research Program, from 2021 to 2023 was conducted. MASLD was identified using ICD-9/10 and SNOMED codes. Various factors, including age, gender, race/ethnicity, health insurance, education, employment, household income, comorbidity burden measured by the Charlson Comorbidity Index (CCI), and two SDOH (i.e., deprivation index and food insecurity), were examined. Descriptive and multiple logistic regression analyses (with adjusted odds ratios, aORs) were conducted using Python. A significance level of 0.05 was set.
RESULTS: Among 26,246 T2D patients identified, 8.2% had a recorded diagnosis of MASLD. Their average age was 63.3 years. Most patients were female (56.6%). Approximately 38% of them had a high comorbidity burden (CCI >3). About 23% reported food insecurity. Their average deprivation index was 0.3. Patients with CCI ≥ 3 (vs. CCI<3, aOR: 2.30), females (vs. male, aOR: 1.31), Hispanics (vs. non-Hispanic Whites, aOR: 1.22), and those with less than college education (vs. college education and higher, aOR: 1.13) significantly had higher odds of MASLD, while patients with income >$100k (vs. income < $50k, aOR: 0.84), those who are retired (vs. employed, aOR:0.83), older individuals (aOR: 0.97), and non-Hispanic Black individuals (vs. non-Hispanic Whites, aOR: 0.50) significantly had lower odds of MASLD. Neither the deprivation index nor food insecurity was a significant factor.
CONCLUSIONS: MASLD in T2D was more strongly related to sociodemographic and comorbidity burden than to SDOH factors. Future work needs to examine if broader social and structural factors contribute to the risk of MASLD.
Conference/Value in Health Info
2026-05, ISPOR 2026, Philadelphia, PA, USA
Value in Health, Volume 29, Issue S6
Code
EPH185
Topic
Epidemiology & Public Health
Disease
SDC: Diabetes/Endocrine/Metabolic Disorders (including obesity)