title: The nonlinear association between apolipoprotein B to apolipoprotein A1 ratio and type 2 diabetes.
abstract: The ratio of ApoB/apolipoprotein A1 (ApoA1) has been found to be associated with type 2 diabetes, and it was proposed as a new biomarker for type 2 diabetes predictions. Previous studies have assumed that the association between apoB/apoA1 and type 2 diabetes was linear. However, the linearity assumption has rarely been examined. In the present study, we aimed to examine whether this association showed a linear trend in a nationally representative population.Participants aged 18 years and over (n = 8220) were selected from the China Health Nutrition Survey (CHNS). We used restricted cubic spline to model the association between ApoB/ApoA1 ratio and type 2 diabetes using logistic regression models. Additionally, we categorized the ApoB/ApoA1 ratio according to quartiles to compare with previous results. Age, gender, education, smoking status, high sensitivity C-reactive protein (hsCRP), lipid, body mass index (BMI), and hypertension were controlled as potential confounders.We found that the association between apoB/apoA1 ratio and type 2 diabetes may be nonlinear after adjusting for multiple potential confounders. Compared with the lowest quartile of apoB/apoA1 ratio, participants in the fourth quartile had a higher odds of type 2 diabetes [odds ratio (OR) = 1.35, 95% confidence interval (CI) = 1.01-1.81].Our results suggest that, higher apoB/apoA1 ratio was associated with higher prevalence of type 2 diabetes. However, the association may be nonlinear.
authors.affiliation: Department of Epidemiology and Health Statistics, School of Public Health, Kunming Medical University, Kunming Department of Anesthesiology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang Department of Dermatology, Linyi People's Hospital, Linyi, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Mao
authors.forename: Yang
authors.initials: Y
authors.lastname: Xu
authors.forename: Leihong
authors.initials: L
authors.lastname: Lu
mesh_terms: D000328:Adult; D016632:Apolipoprotein A-I / Q000032:analysis / Q000097:blood; D001055:Apolipoproteins B / Q000032:analysis / Q000097:blood; D015415:Biomarkers; D002681:China / Q000453:epidemiology; D003710:Demography; D003924:Diabetes Mellitus, Type 2 / Q000097:blood / Q000175:diagnosis / Q000453:epidemiology; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D016017:Odds Ratio; D015995:Prevalence; D012307:Risk Factors; D012959:Socioeconomic Factors; D013223:Statistics as Topic
chemical_list: D016632:Apolipoprotein A-I; D001055:Apolipoproteins B; D015415:Biomarkers