1.Effects comparison of salatrine or glimepiride combined with insulin glargine on treatment of patients with type 2 diabetes mellitus
Zongling WANG ; Lina DAI ; Meixia WANG ; Wen PAN
Journal of Clinical Medicine in Practice 2018;22(9):31-35
Objective To investigate the effect of saxagliptin or glimepiride combined with insulin glargine on treatment of patients with type 2 diabetes mellitus.Methods Totally 86 patients with type 2 diabetes mellitus were selected and randomly divided into two groups.The control group was treated with glimepiride and insulin glargine,while the experiment group was treated with shagelline and insulin glargine.Before and after treatment,the blood glucose fluctuation index was measured by 72 h dynamic glucose test,and levels of FINS,2 hPG,HbA1c,MDA,ROS and SOD were measured.The clinical efficacy and safety indexes were compared.Results Compared with before treatment,the levels of SDBG,MAGE,NGE and MODD decreased significantly after treatment,the levels of FINS increased significantly,2 hPG and HbA1 c decreased significantly after treatment,and the levels of serum MDA and ROS decreased significantly and SOD level increased significantly (P < 0.05).Compared with the control group,the levels of SDBG,MAGE,NGE and MODD were significantly lower in the experiment group,and the levels of MDA and ROS were significantly lower,and the level of SOD was significantly higher (P < 0.05).The effective rate was 72.09% in the control group,which was significantly lower than 90.70% in the experiment group (P < 0.05).Conclusion Compared with glimepiride,saxagliptin combined with insulin glargine is effective in the treatment of patients with type 2 diabetes,it can effectively control blood sugar,improve blood sugar fluctuations and oxidative stress,and does not increase the risk of hypoglycemia.
2.Effects comparison of salatrine or glimepiride combined with insulin glargine on treatment of patients with type 2 diabetes mellitus
Zongling WANG ; Lina DAI ; Meixia WANG ; Wen PAN
Journal of Clinical Medicine in Practice 2018;22(9):31-35
Objective To investigate the effect of saxagliptin or glimepiride combined with insulin glargine on treatment of patients with type 2 diabetes mellitus.Methods Totally 86 patients with type 2 diabetes mellitus were selected and randomly divided into two groups.The control group was treated with glimepiride and insulin glargine,while the experiment group was treated with shagelline and insulin glargine.Before and after treatment,the blood glucose fluctuation index was measured by 72 h dynamic glucose test,and levels of FINS,2 hPG,HbA1c,MDA,ROS and SOD were measured.The clinical efficacy and safety indexes were compared.Results Compared with before treatment,the levels of SDBG,MAGE,NGE and MODD decreased significantly after treatment,the levels of FINS increased significantly,2 hPG and HbA1 c decreased significantly after treatment,and the levels of serum MDA and ROS decreased significantly and SOD level increased significantly (P < 0.05).Compared with the control group,the levels of SDBG,MAGE,NGE and MODD were significantly lower in the experiment group,and the levels of MDA and ROS were significantly lower,and the level of SOD was significantly higher (P < 0.05).The effective rate was 72.09% in the control group,which was significantly lower than 90.70% in the experiment group (P < 0.05).Conclusion Compared with glimepiride,saxagliptin combined with insulin glargine is effective in the treatment of patients with type 2 diabetes,it can effectively control blood sugar,improve blood sugar fluctuations and oxidative stress,and does not increase the risk of hypoglycemia.
3.Academic procrastination status and related factors of undergraduates from a university in Guangzhou
Xuxiang WANG ; Meixia DAI ; Cuihua GUO ; Meifang LUO ; Xiuhong LI ; Qingxiong WANG ; Jin JING ; Wenhan YANG
Chinese Mental Health Journal 2018;32(4):344-349
Objective:To explore the academic procrastination (AP) status and related factors in college students. Methods: Totally 828 undergraduates (277 male, 551 female, age 18-25 years) from Sun Yat-Sen University were investigated with a self-made questionnaire for basic information and Undergraduate Academic Procrastination Questionnaire (UAPQ) for AP status. UAPQ included overall learning procrastination (OLP), homework procrastination (HP), exam preparing procrastination (EPP) and self-learning procrastination (SLP). Students who scored more than 3 in OLP, HP, EPP, SLP were regarded as procrastinator. Result: The procrastination rates of OLP, HP, EPP, SLP were 40.7%, 29.7%, 41.5%, and 47.6%. Multiple linear regression analysis results showed that bigger (β = 0.32) and normal (β =0.15) influence for academic by mobile-phone, higher level of computer dependence (β =0.15) were positively related with academic procrastination. Higher (β =-0.27) and normal (β =-0.17) levels of grade satisfaction were negatively correlated with academic procrastination. The seniors' academic procrastination levels were lower than those in other grade (β =-0.12). Conclusion: It suggests that undergraduates procrastinate widely in many academic activities. Bigger and normal influence for academic by mobile-phone, higher level of computer dependence may be risk factors of procrastination, while being satisfied with grades and seniors may be protective factors.
4.Reliability and validity of Adaptive Behavior Scale for Children with Autism Spectrum Disorder
Chinese Journal of School Health 2020;41(9):1325-1330
Objective:
To develop a native adaptive behavior scale for children with autism spectrum disorder(ASD) and to explore its reliability and validity.
Methods:
Items of ASD adaptive behavior rating scale were selected based on the scale development theory, ASD knowledge and adaptive behavior concept through preliminary survey and statistical, and 301 ASD children aged 2 to 12 from hospitals in Guangzhou, Huizhou, Shenzhen who met the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition were selected, data was analyzed by the item analysis.
Results:
After item analysis and exploratory factor analysis, the final version of the scale contains 58 items, and 64.24% of the total variation could be explained by 6 factors; The Cronbach’s α coefficient of the full scale was 0.98, and the coefficient value of dimen sional factors were 0.94,0.93,0.91,0.95,0.88,0.94. The test-test reliability r of full scale was 0.86, the r of the factor were 0.88,0.81,0.81,0.87,0.88,0.79. The criterion-related validity r with the ABAS-Ⅱ scale was -0.77, the criterion-related validity r with the CARS scale was 0.64.
Conclusion
The ASD Child Adaptive Behavior Scale showed good reliability and validity, and could be used widely.