Objective : To investigate the knowledge, attitude and practice on e-cigarette use among college students in Guiyang City, so as to provide insights into tobacco control health education among colleges and universities. Methods College students were sampled from full-time colleges and universities in Guiyang City using a multi-stage stratified cluster sampling method from March to May in 2022. Students' knowledge, attitude and practice on e-cigarette use were collected using a questionnaire designed based on the 2019 China National Youth Tobacco Survey Questionnaire, and factors affecting the attempt to use e-cigarette were identified using a multivariable logistic regression model. Methods: College students were sampled from full-time colleges and universities in Guiyang City using a multi-stage stratified cluster sampling method from March to May in 2022. Students' knowledge, attitude and practice on e-cigarette use were collected using a questionnaire designed based on the 2019 China National Youth Tobacco Survey Questionnaire, and factors affecting the attempt to use e-cigarette were identified using a multivariable logistic regression model. Results : Totally 2 800 questionnaires were recovered, including 2 694 valid questionnaires, with an effective recovery rate of 96.21%. The respondents included 687 males (25.50%) and 2 007 females (74.50%). The total score of knowledge on e-cigarette use was (2.95±1.02) points, and there were low proportions of knowing that e-cigarettes contained hazardous substances, including nicotine and tar (59.06%) and knowing that e-cigarette use may cause diseases (53.27%). The total score of attitudes towards e-cigarette use was (5.09±2.36) points, and 93.50% of respondents did not use e-cigarettes given by companions. There were 132 students with attempts to use e-cigarettes (4.90%), and there were 29 current e-cigarette users (1.08%). Multivariable logistic regression analysis identified age of 20 years and lower (OR=0.438, 95%CI: 0.267-0.719), living in rural areas (OR=0.458, 95%CI: 0.264-0.794), thinking that e-cigarettes are addictive (OR=0.449, 95%CI: 0.217-0.928), and thinking that e-cigarette smoking is harmful (OR=0.263, 95%CI: 0.131-0.527) as factors protecting from e-cigarette use, and monthly living expenses of more than 2 000 Yuan (OR=2.995, 95%CI: 1.135-7.902), cigarette smoking (OR=19.826, 95%CI: 11.385-34.527), and using companions' e-cigarettes (OR=9.141, 95%CI: 5.534-15.101) and thinking that people around me support my use of e-cigarettes (OR=2.673, 95%CI: 1.426-5.013) were risk factors for e-cigarette use among college students. Conclusions There is a low awareness rate of e-cigarette use among college students in Guiyang City, and the majority oppose e-cigarette use, with a low proportion of attempt to use e-cigarettes. Age, source of students, monthly living expenses, e-cigarette smoking, knowledge on e-cigarette use and use of companions' e-cigarettes may affect the attempt to use e-cigarettes.

Objective:To explore the predictive value of serum betatrophin and ficolin-3 during early pregnancy for gestational diabetes mellitus (GDM).Methods:Using a prospective research method, from June 2018 to June 2019, 7 to 13 weeks pregnant women were selected in Yan′an Hospital of Kunming City, and their fasting peripheral venous blood samples were reserved. At 24 to 28 weeks of pregnancy, oral glucose tolerance test (OGGT) was performed. Sixty-five cases were diagnosed as GDM (GDM group), and 60 pregnant women with normal OGGT result and matched age and gestational weeks were selected as normal group. In addition, 60 non-pregnant healthy women with matched age were selected as control group. The serum levels of betatrophin and ficolin-3 were measured in GDM group, normal control group (during 7 to 13 weeks of gestation) and control group were measured by enzyme linked immunosorbent assay method. Pearson test was used to analyze the correlation between serum betatrophin, ficolin-3 and glycolipid metabolism indexes during 24 to 28 weeks of gestation. The receiver operating characteristic (ROC) curve was used to analyze the predictive value of serum betatrophin and ficolin-3 during early pregnancy for GDM.Results:The serum betatrophin and ficolin-3 in GDM group were significantly higher than those in normal group and control group: (35.69 ± 6.15) ng/L vs. (23.90 ± 7.68) and (19.68 ± 6.33) ng/L, (31.75 ± 10.30) μg/L vs. (22.88 ± 12.71) and (18.47 ± 9.54) μg/L, the betatrophin and ficolin-3 in normal group were significantly higher than those in control group, and there were statistical differences ( P<0.05). The correlation analysis result showed that serum betatrophin was positive correlation with total cholesterol (TC), glycosylated hemoglobin (HbA 1c) and homeostatic model assessment insulin resistance index (HOMA-IR) ( r = 0.585, 0.440 and 0.735; P<0.01); the serum ficolin-3 was positively correlated with HbA1c ( r = 0.673, P<0.01), and negatively correlated with high-density lipoprotein cholesterol (HDL-C) ( r = - 0.520, P<0.01). ROC curve analysis result showed that the areas under curve of betatrophin and ficolin-3 for predicting GDM were 0.829 and 0.795, 95% CI 0.753 to 0.905 and 0.718 to 0.872, and the optimum critical values were 27.69 ng/L and 29.72 μg/L, with a sensitivity of 89.36% and 84.58%, a specificity of 72.14% and 79.64% and Yorden index of 0.62 and 0.59. The areas under curve of betatrophin combined with ficolin-3 for predicting GDM was 0.923, 95% CI 0.868 to 0.978, with a sensitivity of 91.25%, a specificity of 87.24% and Yorden index of 0.86. Conclusions:GDM pregnant women have abnormal expression of serum betatrophin and ficolin-3 during early pregnancy, and the indexes are related to glycolipid metabolism. Serum betatrophin and ficolin-3 during early pregnancy have certain predictive value for GDM.

Objective:To investigate the correlation between serum levels of heme oxygenase-1 (HO-1) and lipoxin A4 (LXA4) and diabetic nephropathy, and to analyze the value of HO-1 and LXA4 in the diagnosis of diabetic nephropathy.Methods:A prospective cohort study was conducted in 185 patients with type 2 diabetes admitted to the Department of Endocrinology, Yan'an Hospital Affiliated to Kunming Medical University from January 2016 to January 2020. There were 96 cases with diabetic nephropathy (nephropathy group) and 89 cases without diabetic nephropathy (non nephropathy group). According to the stage of chronic kidney disease,the nephrotic group was divided into three subgroups: stage 1-2 group (31 cases), stage 3-4 group (40 cases) and stage 5 group (25 cases). Another 82 healthy volunteers were selected as the control group.Serum HO-1, LXA4, oxidative stress,inflammatory factors, glucose metabolism and renal function were detected. Pearson analysis of HO-1, LXA4 and oxidative stress, inflammatory factors, glucose metabolism and renal function index correlation, binary logistic regression analysis of diabetic nephropathy factors.Results:The serum HO-1 ((0.60 ± 0.20) μg/L) and LXA4 levels ((435.12 ± 22.42) ng/L) in nephrotic group were lower than those in non nephrotic ((0.72 ± 0.23) μg/L, (498.21 ± 29.48) ng/L)( t=29.351, 24.135, all P<0.05). The serum HO-1 and LXA4 levels in the 5 stage group were lower than those in the 3-4 stage and 1-2 stage group (all P<0.05). The serum HO-1 and LXA4 levels in the 3-4 stage group were lower than those in the 1-2 stage group (all P<0.05). Pearson correlation analysis showed that HO-1 was positively correlated with total antioxidant capacity (T-AOC), superoxide dismutase (SOD) and estimated glomerular filtration rate (EGFR) ( r=0.516, 0.602, 0.617; all P<0.05), and was positively correlated with malondialdehyde (MDA) and homeostasis model insulin resistance (homeostasis model insulin resistance) Model assessment insulin resistance (HOMA-IR), urinary albumin creatinine ratio (UACR) LXA4 was negatively correlated with T-AOC, SOD and EGFR ( r=-0.559, 0.597, 0.637; all P<0.05), and positively correlated with MDA, IL-6, TGF-β1, HOMA-IR and UACR There was a negative correlation ( r=-0.498, -0.623, -0.725; all P<0.05). Binary logistic regression analysis showed that malondialdehyde ( OR=1.587, 95% CI 1.402-1.603, P=0.016), TGF-β1 ( OR=1.679, 95% CI 1.642-1.739, P=0.012), HOMA-IR ( OR=1.699、95% CI 1.534-1.739, P=0.009) were risk factors of diabetic nephropathy (all P<0.05). HO-1 ( OR=0.506, 95% CI 0.423-0.653, P<0.001) and LXA4 ( OR=0.492, 95% CI 0.409-0.535, P<0.001) were protective factors for DN ( P<0.001). After adjusting for MDA, TGF-β1 and HOMA-IR, HO-1 ( OR=0.485, 95% CI:0.402-0.564, P<0.001) and LXA4 ( OR=0.416, 95% CI:0.386-0.475, P<0.001) were still associated with DN. ROC analysis showed that the area under curve (AUC) of HO-1 and LXA4 were 0.820 (95% CI:0.760-0.880, P<0.001) and 0.763 (95% CI:0.691-0.836, P<0.001), respectively. The sensitivity and specificity were 71.88%, 80.90%, 75.00% and 84.27%, respectively. Conclusion:The decrease of serum LXA4 and HO-1 levels is closely related to diabetic nephropathy, which can be used as a biological indicator for the diagnosis of diabetic nephropathy.