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Objective: to construct multi factor prediction model for the individual risk of T2DM, and to explore new ideas for early warning, prevention and personalized health services for T2DM. Methods: using logistic regression techniques to screen the risk factors for T2DM and construct the risk prediction model of T2DM. Results: Male’s risk prediction model logistic regression equation: logit(P)=BMI × 0.735+ vegetables × (−0.671) + age × 0.838+ diastolic pressure × 0.296+ physical activity× (−2.287) + sleep ×(−0.009) +smoking ×0.214; Female’s risk prediction model logistic regression equation: logit(P)=BMI ×1.979+ vegetables× (−0.292) + age × 1.355+ diastolic pressure× 0.522+ physical activity × (−2.287) + sleep × (−0.010).The area under the ROC curve of male was 0.83, the sensitivity was 0.72, the specificity was 0.86, the area under the ROC curve of female was 0.84, the sensitivity was 0.75, the specificity was 0.90. Conclusion: This study model data is from a compared study of nested case, the risk prediction model has been established by using the more mature logistic regression techniques, and the model is higher predictive sensitivity, specificity and stability.

Objective: To investigate the FPG associated with HbA1c diagnosis of T2DM, to clear the best point of tangency HbA1c diagnosis of T2DM. Methods: Using simple random sampling method, from this group of T2DM field epidemiological investigation data in the database we randomly selected 300 cases of T2DM patients, 300 cases of healthy people. The sensitivity and specificity of FPG, HbA1c and HbA1c/FPG combination were calculated by diagnostic screening test; Using ROC curve evaluation FPG, HbA1c and HbA1c in combination with FPG diagnosis value of T2DM. Results: The cutoff point of FPG for diagnosing T2DM was 6.19 mmol/L, the sensitivity and specificity were respectively: 83.00%, 93.67%, area under the curve (AUC) was 0.928; the cutoff point of HbA1c for diagnosing T2DM was 6.40%, the sensitivity and specificity were respectively: 87.00%, 90.33%, area under the curve (AUC) is 0.935;Combined use of HbA1c and FPG in the diagnosis of T2DM, simultaneous detection of HbA1c and FPG, when HbA1c≥ 6.40% or FPG≥6.19 mmol/L diagnosed with T2DM, the sensitivity and specificity were respectively: 97.79%, 84.61%, area under the curve (AUC) is 0.960. Conclusions: The cutoff point of HbA1c for diagnosing T2DM was 6.40% , Combined HbA1c and FPG in the T2DM diagnosis, which can greatly improve the sensitivity, the combined application is more conducive to the early screening of T2DM.

To investigate the genetic polymorphism of Y chromosome short tandem repeat (Y-STR) loci in Dong, Miao, Tujia, and Yao minority populations from Hunan Province, China. Fifty Y-STRs (DYS392, DYS389I/II, DYS447, DYS438, DYS527, DYS645, DYS596, DYS391, DYS456, DYS19, DYS593, DYS448, DYS627, DYS557, DYS437, DYS481, DYS533, DYS390, DYS385, DYF387S1, DYS460, DYS393, Y_GATA_H4, DYS439, DYS635, DYS444, DYS643, DYS549, DYS576, DYS570, DYS458, DYS449, DYS518, DYS531, DYS630, DYS622, DYS552, DYS510, DYS459a/b, DYS446, DYS443, DYS587, Y_GATA_A10, DYS520, DYS522) were analyzed for 2553 unrelated healthy male individuals from Hunan (643 Dong males, 666 Miao males, 633 Tujia males, 611 Yao males) using AGCU Y37 and AGCU Y SUPP STR amplification system. There were 624 different haplotypes in 643 unrelated Dong males, 662 in 666 unrelated Miao males, 627 in 633 unrelated Tujia males, and 587 in 611 unrelated Yao males. The haplotype diversities of Dong, Miao, Tujia, and Yao were determined as 0.999879, 0.999982, 0.999970, and 0.999860, respectively. Analysis of molecular variance (AMOVA) tests demonstrated that genetic distance between Miao and Tujia was the smallest (0.0003), while the genetic distance between Dong and Yao was the largest (0.0252). The 50 Y-STR loci in the four minority populations from Hunan Province revealed a highly polymorphic genetic distribution, which showed a high potential for population genetics and forensic practice. [ABSTRACT FROM AUTHOR]