Objective To systematically evaluate the clinical efficacy of ABO-incompatible living donor liver transplantation (ABO-I LDLT) and compare with ABO-compatible LDLT (ABO-C LDLT). Methods A systematic search of multiple databases at home and abroad was conducted to retrieve the literatures related to the statistical comparison of clinical efficacy between ABO-I LDLT and ABO-C LDLT. The literature screening was conducted, the quality of literatures was evaluated and data extraction was performed. Using Rev Man 5.3 software, a Meta-analysis was performed by random effect model or fixed effect model. Results A total of 432 articles were searched, and 6 articles published in English were eventually included according to the inclusion criteria. The Meta-analysis demonstrated that there was no significant difference in the postoperative 1-, 3- and 5-year survival rate of the recipients and grafts and the incidence of rejection responses between the ABO-I LDLT and ABO-C LDLT groups (all P≥0.05). The incidence of postoperative biliary complications and hepatic artery embolization in the ABO-I LDLT group was significantly higher than that in the ABO-C LDLT group [odds ratio (OR)=2.08, 95% confidence interval (CI) 1.25-3.45, P=0.005; OR=2.24, 95%CI 1.03-4.89, P=0.04]. Conclusions Compared with the ABO-C LDLT, ABO-I LDLT yields lower clinical efficacy, whereas it is still an effective method for the treatment of end-stage liver disease.

Objective: To elucidate the association between biorhythm disorders and health risk behaviors in adolescence, so as to provide reference for appropriate interventions. Methods: From March to April 2023, 2 381 adolescents in Shanghai were selected as research objects using convenience sampling and stratified random cluster sampling methods. The Self rating Questionnaire of Biological Rhythm Disorders for Adolescents (SQBRDA) and the self report health risk behaviors questionnaire were used to investigate the status of adolescent biorhythm disorders and nine kinds of health risk behaviors, while a multivariate Logistic regression model was employed to analyze the association between the two variables. Results: The average SQBRDA score was (68.25±0.42) The incidence and detection rates of health risk behaviors in the groups with no co occurrence, mild co occurrence, moderate co occurrence, and severe co occurrence were 234(9.83%), 1 176(49.39%), 830(34.86%) and 141(5.92%), respectively. The total SQBRDA score was positively correlated with the risk of co occurrence of health risk behaviors. The risk of mild co occurrence, moderate co occurrence, and severe co occurrence of health risk behaviors was 9.05 times (95% CI =4.25-19.15, P <0.01), 44.55 times (95% CI =20.75-96.05, P <0.01) and 110.05 times (95% CI =40.65-297.95, P <0.01) higher, respectively, among adolescents with higher scores of biorhythm disorders compared to adolescents with lower scores of biorhythm disorders. Conclusions Health risk behaviors among adolescents in Shanghai draw attention to a serious phenomenon whereby biorhythm disorders are positively correlated with the risk of co occurrence. Comprehensive interventions aimed at addressing adolescent health risk behaviors should focus on regulating biorhythm disorders.

OBJECTIVETo understand the prevalence of myopia in primary and middle school students in 6 provinces and the possible influencing factors.

METHODSPrimary and middle school students were selected through multistage cluster sampling in 60 primary and middle schools in 6 provinces in China. The questionnaire survey and eyesight test were conducted among all the students selected according to the national student's physique and health survey protocol. Pearson chi-square test and binary multivariate logistic regression analysis were done to identify the influencing factors for myopia in students.

RESULTSThe prevalence of myopia among primary and middle school students surveyed was 55.7%, the gender specific difference was statistically significant (59.7% for girls, 51.9% for boys) (P<0.01). The prevalence of myopia increased with age obviously. The prevalence was 35.8% in age group 6-8 years, 58.9% in age group 10-12 years, 73.4% in age group 13-15 years and 81.2% in age group 16-18 years, the differences were statistically significant (P<0.001). Single factor and multivariate analysis showed that parents' myopia, distance between computer screen and eyes, distance less than 30 cm between eyes and book while reading, distance less than 10 cm between chest and the table edge while studying, distance less than 3 cm between fingers and pen tip, sleep time, average outdoor activity time during last week, school sport activities in the afternoon, the size of television set at home, time spent on watching TV and playing computer were the influencing factors for myopia.

CONCLUSIONSThe prevalence of myopia is till high in primary and middle school students. Myopia is associated with both genetic factors and individual eye health related behaviors.

Adolescent ; Child ; China ; epidemiology ; Female ; Health Behavior ; Health Surveys ; Humans ; Logistic Models ; Male ; Multivariate Analysis ; Myopia ; epidemiology ; Parents ; Prevalence ; Schools ; Sleep ; Students ; Surveys and Questionnaires