期刊：
FRONTIERS IN PSYCHOLOGY,2021年12:573779 ISSN：1664-1078
通讯作者：
Liao, Li
作者机构：
[Gao, Hong; Ni, Menghui; Liao, Li; Ou, Yangli] Univ South China, Sch Nursing, Hengyang, Peoples R China.;[Zhang, Zhiyuan; Zhou, Xinlian] Univ South China, Hosp 2, Emergency Dept, Hengyang, Peoples R China.
通讯机构：
[Liao, Li] U;Univ South China, Sch Nursing, Hengyang, Peoples R China.
关键词：
E-learning engagement;family support;e-learning normative consciousness and behaviours;self-efficacy;college students
摘要：
Due to the current COVID-19 pandemic, colleges and universities have implemented network teaching. E-learning engagement is the most important concern of educators and parents because this will directly affect student academic performance. Hence, this study focuses on students' perceived family support and their e-learning engagement and analyzes the effects of e-learning normative consciousness and behaviors and self-efficacy on the relationship between family support and e-learning engagement in college students. Prior to this study, the relationship between these variables was unknown. Four structural equation models revealed the multiple mediating roles of e-learning normative consciousness and behaviors and self-efficacy in the relationship between family support and e-learning engagement. A total of 1,317 college students (mean age=19.51; 52.2% freshman) voluntarily participated in our study. The results showed that e-learning normative consciousness and behaviors and self-efficacy played significant and mediating roles between students' perceived family support and e-learning engagement. Specifically, these two individual variables fully mediated the relationship between students' perceived family support and e-learning engagement. The multiple mediation model showed that family members can increase family support of their children by creating a household environment conducive to learning, displaying positive emotions, demonstrating the capability to assist their children, advocating the significance of learning normative consciousness and behaviors, and encouraging dedicated and efficient learning. The findings complement and extend the understanding of factors influencing student e-learning engagement.
作者机构：
[Gao, Hong] Univ South China, Sch Nursing, Hengyang 421001, Hunan, Peoples R China.;[Gao, Hong; Wu, Xinrui; Tan, Hongzhuan] Cent South Univ, XiangYa Sch Publ Hlth, Dept Epidemiol & Hlth Stat, Changsha 410008, Hunan, Peoples R China.;[Li, Yumei; Liu, Dong-e] Cent South Univ, Xiangya Hosp, Reprod Med Ctr, Changsha 410008, Hunan, Peoples R China.
通讯机构：
[Tan, Hongzhuan] D;Department of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha, 410008, Hunan, China.
摘要：
Live birth is the most important concern for assisted reproductive technology (ART) patients. Therefore, in the medical reproductive centre, obstetricians often need to answer the following question: "What are the chances that I will have a healthy baby after ART treatment?" To date, our obstetricians have no reference on which to base the answer to this question. Our research aimed to solve this problem by establishing prediction models of live birth for ART patients. Between January 1, 2010, and May 1, 2017, we conducted a retrospective cohort study of women undergoing ART treatment at the Reproductive Medicine Centre, Xiangya Hospital of Central South University, Hunan, China. The birth of at least one live-born baby per initiated cycle or embryo transfer procedure was defined as a live birth, and all other pregnancy outcomes were classified as no live birth. A live birth prediction model was established by stepwise multivariate logistic regression. All eligible subjects were randomly allocated to two groups: group 1 (80% of subjects) for the establishment of the prediction models and group 2 (20% of subjects) for the validation of the established prediction models. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of each prediction model at different cut-off values were calculated. The prediction model of live birth included nine variables. The area under the ROC curve was 0.743 in the validation group. The sensitivity, specificity, PPV, and NPV of the established model ranged from 97.9-24.8%, 7.2-96.3%, 44.8-83.8% and 81.7-62.5%, respectively, at different cut-off values. A stable, reliable, convenient, and satisfactory prediction model for live birth by ART patients was established and validated, and this model could be a useful tool for obstetricians to predict the live rate of ART patients. Meanwhile, it is also a reference for obstetricians to create good conditions for infertility patients in preparation for pregnancy.
摘要：
To investigate how uterine size and volume are associated with live birth rate in patients undergoing assisted reproduction technology. This prospective cohort study was conducted at the Reproductive Medicine Centre from January 2010 to May 2017. Multivariate binary logistic regression was used to evaluate the relations between uterine size, total volume, and live birth outcomes, after they were adjusted for the main influencing factors. A total of 7320 women of clinical pregnancy were enrolled. Compared with uterine lengths of 50 to 59 mm (referent), women with uterine lengths >= 60 mm had a lower live birth rate (RR = 1.541). Compared with uterine widths of >= 50 mm (referent), women with uterine widths <30 mm had a lower live birth rate (RR = 1.430). Compared with uterine anteroposterior diameters of <30 mm (referent), women with uterine anteroposterior diameters >= 50 mm had a lower live birth rate (RR = 1.636). Compared with uterine volumes of 30 to 49 mL (referent), women with volumes <30 mL and >= 70 mL had lower live birth rates (RR = 1.368 and 1.742, respectively). Our findings indicate that uterine sizes and volumes that were too large or too small reduced the live birth rate.
摘要：
The aim of this study was to investigate the relationships between uterine size and volume and clinical pregnancy rate.This longitudinal study was conducted among patients undergoing assisted reproduction technology (ART) treatment at the Reproductive Medicine Center from January 2010 to May 2017, all of whom provided informed consent to participate in the study. The uterine size, for all patients, was measured by transvaginal ultrasonography before ovarian stimulation. Clinical pregnancy was diagnosed by ultrasound confirmation of at least an intrauterine gestational sac and fetal cardiac activity 4 weeks after embryo transfer.A total of 11,924 patients were enrolled in this study. Compared to patients with uterine lengths of 50 to 59 mm (referent), patients with uterine lengths >/=60 mm had a lower clinical pregnancy rate. Compared to patients with uterine widths of 30 to 39 mm (referent), patients with uterine widths of 40 to 49 mm and those with uterine widths of >/=50 mm had a lower clinical pregnancy rate. Compared with those with a uterine anteroposterior diameter of <30 mm (referent), patients with uterine anteroposterior diameters of >/=50 mm had a lower clinical pregnancy rate. Compared with those with a uterine volume of 30 to 49 mL (referent), patients with a uterine volume >/=70 mL had a lower clinical pregnancy rate.The patients with an optimal uterine length, width, anteroposterior diameter, and volume had a higher clinical pregnancy rate than those with suboptimal uterine measurements. Uterine sizes and volumes that were too large reduced the clinical pregnancy rate.
摘要：
The aim of this study was to describe the size and the shape of gravida-0 uteri in infertile Chinese Han women according to age, height, and body mass index (BMI).Registered data obtained from the Department of Reproductive Medicine, Xiangya Hospital of Central South University, were collected and analyzed. The length, width, and anteroposterior diameter of the uteri of nonpregnant women aged 20 to 45 years were measured by transvaginal ultrasonography. Statistical analyses among different populations were conducted using a 1-way analysis of variance analysis or a Kruskal-Wallis H test.A total of 5726 primary infertile women were enrolled. The mean age of the sample group was 29.18 +/- 4.22 years, and the mean BMI and the mean height of them were 21.51 +/- 2.91 kg/m and 158.13 +/- 4.71 cm, respectively. The mean uterine length, width, anteroposterior diameter, and L/W ratio were 49.33 +/- 7.00 mm, 39.94 +/- 7.23 mm, 44.95 +/- 8.11 mm, and 1.2662 +/- 0.2465, respectively. There were a statistically significant positive correlations between uterine length, width, anteroposterior diameter, and age in infertile women (all P < .001). Uterine L/W ratio gradually decreased with age, which was statistically significant (P < .001). The correlations between uterine length, width, anteroposterior diameter, and height were also considered statistically significant (all P < .001), while there was no correlation between L/W ratio and height. The results showed that uterine size and BMI had no statistical significance.The uterine length, width, and anteroposterior diameter gradually increased with increased age and height, but the increasing extents was different, and the uterine shape became rounder with age and had not changed with height in primary infertile women.
