1.An online survey analysis on the association between social jetlag and depressive symptoms among college students
Hongyu CHEN ; Baixin CHEN ; Jiachun HUANG ; Jingyi HE ; Peicong LI ; Lu ZHANG ; Wenrong CHEN ; Weichen ZHANG ; Yun LI
Chinese Journal of Psychiatry 2025;58(8):639-645
Objective:To investigate the association between social jetlag and depressive symptoms among college students, as well as its potential influencing factors.Methods:A cross-sectional study was conducted through an online questionnaire platform (Wenjuanxing) from March to April 2023, collecting data on social jetlag, depressive symptoms, and other factors from students at Shantou University. Social jetlag time was defined as the absolute difference between the midpoint of sleep time on weekends and weekdays, with a cutoff at the 75th percentile. The presence of social jetlag was defined as social jetlag time≥1 hour. Depressive symptoms were assessed using the Beck Depression Inventory (BDI), with a score of≥10 indicating the presence of depressive symptoms. Participants were divided into depressive symptom group (BDI≥10) and non-depressive symptom group (BDI<10). Linear regression and logistic regression models were used to analyze the relationship between social jetlag and depressive symptoms, with interaction terms and subgroup analyses to explore potential influencing factors.Results:A total of 1 323 college students were included. The social jetlag time (median 0.71 hour vs. 0.50 hour, Z=-3.36, P<0.001) and prevalence of social jetlag (37.64% vs. 30.57%, χ2=7.03, P=0.008) were both higher in the depressive symptom group than in the non-depressive symptom group. The linear regression model showed that each additional hour of social jetlag was associated with an increase of 0.67 points in BDI score (95% CI=0.16-1.18, β=0.06, P=0.010), after adjusting for age, gender, body mass index, being a medical student, smoking, drinking, caffeine intake, physical exercise, anxiety symptoms, insomnia symptoms, and sleep duration. The logistic regression model indicated that social jetlag was a risk factor for depressive symptoms (O R=1.34, 95% CI=1.02-1.76, P=0.036), which was moderated by physical exercise (interaction P=0.033). Among participants without physical exercise, social jetlag was associated with depressive symptoms ( OR=1.71, 95% CI=1.18-2.48, P=0.005), while no such association was found among those with physical exercise ( OR=0.97, 95% CI=0.64-1.47, P=0.892). Conclusion:Social jetlag may be associated with depressive symptoms in college students. This adverse relationship may be improved by enhancing physical exercise.
2.Value of three-dimensional echocardiographic parameters for left ventricular reverse remodeling after transcatheter aortic valve replacement in patients with severe bicuspid aortic valve stenosis
Lili XING ; Lei HUANG ; Baixin ZHAO ; Junyue ZHANG
Journal of Clinical Medicine in Practice 2025;29(19):114-119,124
Objective To explore the evaluation value of three-dimensional echocardiographic parameters for left ventricular reverse remodeling(LVRR)after transcatheter aortic valve replacement(TAVR)in patients with severe bicuspid aortic valve(BAV)stenosis.Methods A total of 140 pa-tients with severe BAV stenosis admitted to our hospital from January 2021 to April 2024 were select-ed.All patients underwent TAVR surgery and completed three-dimensional echocardiographic exami-nations.According to whether LVRR occurred,the patients were divided into occurrence group(69 cases)and non-occurrence group(71 cases).Clinical data and three-dimensional echocardiographic parameters[left ventricular remodeling index(LVRI),left ventricular mass index(LVMI),left ventricu-lar end-diastolic volume index(LVEDVI),and left ventricular end-systolic volume index(LVESVI)]were compared between the two groups.Logistic regression analysis was used to analyze the risk factors for LVRR after TAVR in patients with severe BAV stenosis.Receiver operating characteristic(ROC)curves were plotted to analyze the predictive value of three-dimensional echocardiographic parameters for LVRR after TAVR in patients with severe BAV stenosis.Results Among the 140 patients with severe BAV stenosis after TAVR,69 cases developed LVRR,with an incidence rate of 49.29%.Compared with the non-occurrence group,the occurrence group had lower values of LVMI,LVEDVI,and LVESVI,and the differences were statistically significant(P<0.05).The proportion of patients with cardiac function classification ≥ grade Ⅲ and the calcification score in the occurrence group were lower than those in the non-occurrence group,and the differences were statistically significant(P<0.05).Logistic regression analysis results showed that cardiac function classification<grade Ⅲ,low values of LVMI,LVEDVI,LVESVI,and LVRI were protective fac-tors for LVRR after TAVR in patients with severe BAV stenosis.ROC curves showed that the areas under the curve(AUCs)and 95%CI of LVRI,LVMI,LVEDVI,and LVESVI for predicting LVRR after TAVR alone were 0.876(0.810 to 0.926),0.878(0.812 to 0.927),0.758(0.678 to 0.826),and 0.786(0.709 to 0.851),respectively.The AUCs(95%CI)of the combined model and the predictive model were 0.911(0.852 to 0.953)and 0.947(0.895 to 0.978),respective-ly,indicating high efficacy of both models.Conclusion After TAVR,LVRI,LVMI,LVEDVI,and LVESVI are closely related to LVRR in patients with severe BAV stenosis and are influencing factors for LVRR occurrence in these patients.The combined detection of these indicators has a high predictive value for LVRR after surgery.
3.An online survey analysis on the association between social jetlag and depressive symptoms among college students
Hongyu CHEN ; Baixin CHEN ; Jiachun HUANG ; Jingyi HE ; Peicong LI ; Lu ZHANG ; Wenrong CHEN ; Weichen ZHANG ; Yun LI
Chinese Journal of Psychiatry 2025;58(8):639-645
Objective:To investigate the association between social jetlag and depressive symptoms among college students, as well as its potential influencing factors.Methods:A cross-sectional study was conducted through an online questionnaire platform (Wenjuanxing) from March to April 2023, collecting data on social jetlag, depressive symptoms, and other factors from students at Shantou University. Social jetlag time was defined as the absolute difference between the midpoint of sleep time on weekends and weekdays, with a cutoff at the 75th percentile. The presence of social jetlag was defined as social jetlag time≥1 hour. Depressive symptoms were assessed using the Beck Depression Inventory (BDI), with a score of≥10 indicating the presence of depressive symptoms. Participants were divided into depressive symptom group (BDI≥10) and non-depressive symptom group (BDI<10). Linear regression and logistic regression models were used to analyze the relationship between social jetlag and depressive symptoms, with interaction terms and subgroup analyses to explore potential influencing factors.Results:A total of 1 323 college students were included. The social jetlag time (median 0.71 hour vs. 0.50 hour, Z=-3.36, P<0.001) and prevalence of social jetlag (37.64% vs. 30.57%, χ2=7.03, P=0.008) were both higher in the depressive symptom group than in the non-depressive symptom group. The linear regression model showed that each additional hour of social jetlag was associated with an increase of 0.67 points in BDI score (95% CI=0.16-1.18, β=0.06, P=0.010), after adjusting for age, gender, body mass index, being a medical student, smoking, drinking, caffeine intake, physical exercise, anxiety symptoms, insomnia symptoms, and sleep duration. The logistic regression model indicated that social jetlag was a risk factor for depressive symptoms (O R=1.34, 95% CI=1.02-1.76, P=0.036), which was moderated by physical exercise (interaction P=0.033). Among participants without physical exercise, social jetlag was associated with depressive symptoms ( OR=1.71, 95% CI=1.18-2.48, P=0.005), while no such association was found among those with physical exercise ( OR=0.97, 95% CI=0.64-1.47, P=0.892). Conclusion:Social jetlag may be associated with depressive symptoms in college students. This adverse relationship may be improved by enhancing physical exercise.
4.Clinical study of 2473 cases with peptic ulcer
Chinese Journal of Digestive Endoscopy 2001;0(01):-
Objective To study the clinical characteristics in patients with peptic ulcer (PU) in different nationalities and regions. Methods Retrospective analysis on the clinical data of 2473 cases of PU encountered in our hospital within past 15 years. Results The detecting rate of PU is 12.53% ; whith the ratio of males and females 3.67:1 inwhich the detecting rates of Han and Hui nationalities are 13.42% and 10.66% respectively, Among them 44.4% were duodenal ulcer,50.63% were gastric ulcer, the ratio being 0.88:1. Conclusion The detecting rate of peptic ulcer in Han nationality is hihger than in Hui nationality , gastric ulcer occurs more often than duodenal ulcer. Episodic attacks occur mostly in spring and autumn . As to the location of ulcer in duodenal ulcer they are most on anterior wall and greater curvature of bulb; in gastric ulcer they are most on gastric angul and antrum , the peak age of incidence is 21 to 50. Bleeding is the most common complication in peptic ulcer patients.

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