The impact of social determinants of health on the diagnosis of type 2 diabetes mellitus among Asian Indians in New Jersey

Maya E. Joseph
Purpose: The purpose of this study was to examine the relationship between social determinants of health (SDH) and the diagnosis of type two diabetes mellitus (T2DM), and prediabetes (PDM) among Asian Indians (AI) in New Jersey (NJ).Rationale: The global AI diaspora is experiencing disproportionately high rates of T2DM. Multiple studies in the US have indicated that AIs have a high prevalence of T2DM when compared to the other races after adjusting for confounding factors such as age and body
more » ... ss index (BMI). Paradoxically, the prevalence of T2DM among AIs is not limited to the traditional risk factors of high BMI and waist circumferences.Methods: The theoretical underpinning of this project is the Conceptual Framework of SDH by the Commission on Social Determinants of Health (CSDH) by the World Health Organization (WHO). This was a quantitative study with a cross-sectional study design. This study was a secondary data analysis using the NJ data from the Behavioral Risk Factor Surveillance System (BRFSS) of the Centers for Disease Control and Prevention (CDC) from 2013 to 2017. Non-institutionalized adults of 18 years and above participated in the study. Participants who were self-identified as AIs were included in the analyses. The independent variables of the study were income, education, employment, home ownership, internet use, BMI, exercise, fruit and vegetable intake, tobacco and alcohol consumption, and access to care factors such as health plan, medical check-ups, medical cost, and personal doctor. The dependent variables of this study were T2DM, PDM, and DS (diabetic status). Participants who were positive for either T2DM or PDM were categorized as positive for diabetic status (DS). Statistical analyses included descriptive statistics, chi-square analyses, logistic regression analyses, and mediation analyses. Results: The results indicated that the odds of being diagnosed with T2DM were 68% lower with using the internet in comparison to not using the internet (OR = 0.32, 95% CI: 0.11-0.99) when adjusted [...]
doi:10.7282/t3-qtc1-wg40 fatcat:hzr26byyc5frdp4hxtuvygfzie