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ORIGINAL RESEARCH

Lipid Accumulation Product Index Predicts New-Onset Type 2 Diabetes Among Non-Obese Koreans: A 12-Year Longitudinal Study

, ORCID Icon, ORCID Icon, ORCID Icon &
Pages 3729-3737 | Received 22 Sep 2022, Accepted 27 Nov 2022, Published online: 30 Nov 2022

Figures & data

Figure 1 Flowchart for the selection of study participants.

Figure 1 Flowchart for the selection of study participants.

Table 1 Baseline Characteristics of the Study Population According to Lipid Accumulation Product Quartiles

Table 2 Incidence of Type 2 Diabetes During the Follow-Up Study

Figure 2 Kaplan–Meier plots indicating the cumulative probability of being diagnosed with diabetes after the baseline survey.

Figure 2 Kaplan–Meier plots indicating the cumulative probability of being diagnosed with diabetes after the baseline survey.

Figure 3 Age- and sex-adjusted LAP index at baseline according to the incidence of diabetes.

Figure 3 Age- and sex-adjusted LAP index at baseline according to the incidence of diabetes.

Table 3 Hazard Ratios and 95% Confidence Intervals for Incident Type 2 Diabetes According to LAP Quartiles

Table 4 Sex-Based Subgroup Analysis for Incident Type 2 Diabetes According to LAP Quartiles

Table 5 LAP Index versus body Mass Index, Waist circumference and HOMA-IR for predicting type 2 Diabetes