Objective:To explore the relationship between maternal rejection and internet addiction in college students, as well as the chain mediating role of rejection sensitivity and adaptability.Methods:From March to May 2024, a total of 1 119 college students were surveyed using the short-form Egna Minnen av Barndoms Uppforstran for Chinese(s-EMBU-C), internet addiction test(IAT), rejection sensitivity questionnaire(RSQ), and the China college student adjustment scale(CCSAS).SPSS 26.0 statistical software was used for independent sample t-test, one-way ANOVA, Pearson product moment correlation, and multiple linear regression analysis, and PROCESS 4.0 macro program was used for chain mediation analysis. Results:(1)Maternal rejection (11.19±2.97) was positively correlated with internet addiction (44.89±9.74)( r=0.60, P<0.01) and rejection sensitivity (102.93±55.63)( r=0.63, P<0.01), while negatively correlated with adaptability (200.19±14.18)( r=-0.56, P<0.01) among college students. Rejection sensitivity was positively correlated with internet addiction ( r=0.75, P<0.01) and negatively correlated with adaptability ( r=-0.76, P<0.01). Adaptability was negatively correlated with internet addiction ( r=-0.68, P<0.01). (2)Maternal rejection had a significant direct effect on internet addiction among college students (effect value=0.193, 95% CI=0.145-0.241), accounting for 32.06%(0.193/0.602) of the total effect. Rejection sensitivity mediated the relationship between maternal rejection and internet addiction (effect value=0.290, 95% CI=0.232-0.357), accounting for 48.17%(0.290/0.602) of the total effect. Adaptability also mediated this relationship (effect value=0.028, 95% CI=0.009-0.053), accounting for 4.65%(0.028/0.602) of the total effect. Additionally, there was a chain mediation effect of rejection sensitivity and adaptability on the relationship between maternal rejection and internet addiction (effect value=0.091, 95% CI=0.052-0.130), accounting for 15.12%(0.091/0.602) of the total effect. Conclusion:Maternal rejection can directly influence internet addiction in college students, and it can also indirectly influence internet addiction through the independent mediating effects of rejection sensitivity and adaptability, as well as through the chain mediating effects of both rejection sensitivity and adaptability.

Objective:To explore the effects of perceived stress on ego depletion of college students, as well as the mediating role of emotional eating and the moderating role of peer relationship.Methods:A cross-sectional survey of 1 088 college students was conducted using the perceived stress scale, the Dutch eating behavior questionnaire, the self-control resource depletion scale, and the peer relationship measurement from December 2023 to April 2024.PROCESS Macro program in SPSS 25.0 software was used to test the mediating effect of emotional eating and the moderating effect of peer relationship.Results:(1)The score of perceived stress, emotional eating, peer relationship and ego depletion were 39.26±8.35, 39.19±12.15, 2.00(1.00), and 18.19±7.15, respectively.(2)Perceived stress was positively correlated with emotional eating, ego depletion, and peer relationship( r=0.36, 0.61, 0.25, all P<0.01). Emotional eating was positively correlated with ego depletion and peer relationship( r=0.40, 0.19, both P<0.01). And ego depletion was positively correlated with peer relationship( r=0.23, P<0.01).(3)Emotional eating played a partial mediating role in the effect of perceived stress on ego depletion( β=0.077, 95% CI=0.053-0.104), and the mediating effect accounted for 12.38%(0.077/0.622) of the total effect.(4)Peer relationship played a moderating role between perceived stress and emotional eating. Under low peer relationship, perceived stress had a significant positive predictive effect on emotional eating( βsimple=0.46, P<0.01), and under high peer relationship, the predictive effect of perceived stress on emotional eating was significantly weaker( βsimple=0.26, P<0.01). Conclusions:Perceived stress not only directly affects ego depletion, but also indirectly affects ego depletion through emotional eating in college students.High levels of peer relationship can weaken the impact of perceived stress and high emotional eating on ego depletion.

Objective:To explore the relationship between maternal rejection and internet addiction in college students, as well as the chain mediating role of rejection sensitivity and adaptability.Methods:From March to May 2024, a total of 1 119 college students were surveyed using the short-form Egna Minnen av Barndoms Uppforstran for Chinese(s-EMBU-C), internet addiction test(IAT), rejection sensitivity questionnaire(RSQ), and the China college student adjustment scale(CCSAS).SPSS 26.0 statistical software was used for independent sample t-test, one-way ANOVA, Pearson product moment correlation, and multiple linear regression analysis, and PROCESS 4.0 macro program was used for chain mediation analysis. Results:(1)Maternal rejection (11.19±2.97) was positively correlated with internet addiction (44.89±9.74)( r=0.60, P<0.01) and rejection sensitivity (102.93±55.63)( r=0.63, P<0.01), while negatively correlated with adaptability (200.19±14.18)( r=-0.56, P<0.01) among college students. Rejection sensitivity was positively correlated with internet addiction ( r=0.75, P<0.01) and negatively correlated with adaptability ( r=-0.76, P<0.01). Adaptability was negatively correlated with internet addiction ( r=-0.68, P<0.01). (2)Maternal rejection had a significant direct effect on internet addiction among college students (effect value=0.193, 95% CI=0.145-0.241), accounting for 32.06%(0.193/0.602) of the total effect. Rejection sensitivity mediated the relationship between maternal rejection and internet addiction (effect value=0.290, 95% CI=0.232-0.357), accounting for 48.17%(0.290/0.602) of the total effect. Adaptability also mediated this relationship (effect value=0.028, 95% CI=0.009-0.053), accounting for 4.65%(0.028/0.602) of the total effect. Additionally, there was a chain mediation effect of rejection sensitivity and adaptability on the relationship between maternal rejection and internet addiction (effect value=0.091, 95% CI=0.052-0.130), accounting for 15.12%(0.091/0.602) of the total effect. Conclusion:Maternal rejection can directly influence internet addiction in college students, and it can also indirectly influence internet addiction through the independent mediating effects of rejection sensitivity and adaptability, as well as through the chain mediating effects of both rejection sensitivity and adaptability.

Objective:To explore the effects of perceived stress on ego depletion of college students, as well as the mediating role of emotional eating and the moderating role of peer relationship.Methods:A cross-sectional survey of 1 088 college students was conducted using the perceived stress scale, the Dutch eating behavior questionnaire, the self-control resource depletion scale, and the peer relationship measurement from December 2023 to April 2024.PROCESS Macro program in SPSS 25.0 software was used to test the mediating effect of emotional eating and the moderating effect of peer relationship.Results:(1)The score of perceived stress, emotional eating, peer relationship and ego depletion were 39.26±8.35, 39.19±12.15, 2.00(1.00), and 18.19±7.15, respectively.(2)Perceived stress was positively correlated with emotional eating, ego depletion, and peer relationship( r=0.36, 0.61, 0.25, all P<0.01). Emotional eating was positively correlated with ego depletion and peer relationship( r=0.40, 0.19, both P<0.01). And ego depletion was positively correlated with peer relationship( r=0.23, P<0.01).(3)Emotional eating played a partial mediating role in the effect of perceived stress on ego depletion( β=0.077, 95% CI=0.053-0.104), and the mediating effect accounted for 12.38%(0.077/0.622) of the total effect.(4)Peer relationship played a moderating role between perceived stress and emotional eating. Under low peer relationship, perceived stress had a significant positive predictive effect on emotional eating( βsimple=0.46, P<0.01), and under high peer relationship, the predictive effect of perceived stress on emotional eating was significantly weaker( βsimple=0.26, P<0.01). Conclusions:Perceived stress not only directly affects ego depletion, but also indirectly affects ego depletion through emotional eating in college students.High levels of peer relationship can weaken the impact of perceived stress and high emotional eating on ego depletion.

Objective To compare the positive rate ofthyroid autoantibodies in infertile women with different ovarian reserve function,and investigate the immune factors of diminished ovarian reserve.Methods A cross-sectional study was conducted on infertile women admitted to Department of Reproductive Medicine of Beijing Gynaecology and Obstetrics Hospital from June to December,2020.The levels of anti-Müllerian hormone (AMH ),thyroid stimulating hormone (TSH ),thyroglobulin antibody (TGAb ) and thyroid peroxidase antibody (TPOAb)were detected in the 526 enrolled infertile patients.According to their AMH level,they were divided into normal ovarian reserve group and diminished ovarian reserve group.After they were stratified according to their age,the differences of TSH,TGAb and TPOAb levels were compared in the different age groups to analyze the related factors for diminished ovarian reserve.Results Univariate analysis showed that the diminished ovarian reserve group had significantly higher positive rates of TPOAb (18.8％ vs 11.1％,P=0.024)and TGAb (18.8％ vs 8.0％,P=0.001 )than the normal ovarian reserve group.Multivariate logistic regression analysis indicated that age and TGAb positivity were related to diminished ovarian reserve[OR=1.083(95％ CI:1.021～1.150),P=0.008;OR=1.159(95％ CI:1.034～1.301 ),P=0.011].Subgroup analysis suggested that the positive TGAb and TPOAb were significantly correlated with AMH level in the 36-～40-year-old group (P<0.05).Conclusion The infertile women with diminished ovarian reserve have higher TGAb and TPOAb levels,and the diminishment in those aged 36～40 years might be related to the positive TGAb and TPOAb.

Objective:To explore the impact of parenting style on social anxiety among college students, and examine the mediating effect of core self-evaluation.Methods:From November 2022 to January 2023, a total of 1 126 college students in Harbin were taken as research subjects.Interaction anxiousness scale(IAS), short-egna minnen betraffende upfostran-Chinese(s-EMBU-C) and core self-evaluations scale(CSES) were used for analysis. Data were analyzed using SPSS 26.0 software for correlation analysis and analysis of variance.AMOS 27.0 software was used for mediation effect test.Results:Social anxiety (42.31±8.23) was negatively correlated with positive parenting style (5.44±1.45) ( r=-0.072, P<0.05) and core self-evaluation (32.12±6.01) ( r=-0.350, P<0.01), while positively correlated with negative parenting style (7.40±1.74)( r=0.302, P<0.01). Core self-evaluation was positively correlated with positive parenting style ( r=0.362, P<0.01) and negatively correlated with negative parenting style ( r=-0.346, P<0.01).Parent parenting styles had a significant mean direct effect on social anxiety of college students ( βpositive=0.098, βnegtive=0.222).Mediation analyses indicated that core self-evaluation played a masking role between positive parenting styles and social anxiety, with an absolute value of 90.82% for the ratio of indirect(-0.089) to direct effects(0.098).Core self-evaluation had partial mediating effect on negative parenting styles, with direct effect and indirect effect accounting for 73.03% and 26.97% of the total effect, respectively. Conclusion:Parenting style can either directly affect college students' social anxiety or indirectly through the mediating effect of core self-evaluations, with core self-evaluations playing a masking role in the positive parenting styles pathway.

Objective:To explore the impact of negative perfectionism on academic procrastination, as well as the mediating role of anxiety and the moderating role of negative cognitive emotion regulation strategies.Methods:In December 2022, a cross-sectional survey was conducted on 4 178 students from a medical college in Heilongjiang Province. The Zi negative perfectionism questionnaire, procrastination assessment scale-student, generalized anxiety disorder-7, and cognitive emotion regulation questionnaire were used to conduct the questionnaire survey, and 4 004 valid questionnaires were recovered. SPSS 26.0 statistical software was used for common method deviation test, descriptive statistics and correlation analysis, PROCESS macro program was used for mediation and moderation effect analysis.Results:(1) The scores of nursing students' negative perfectionism, anxiety, negative cognitive emotion regulation strategy, and academic procrastination were (120.48±23.40), (12.75±5.36), (44.82±11.20), and (42.95±14.30), respectively. (2) Negative perfectionism was positively correlated with anxiety ( r=0.311, P<0.01) and academic procrastination ( r=0.113, P<0.01). Academic procrastination was positively correlated with anxiety ( r=0.190, P<0.01) and negative cognitive emotion regulation strategies ( r=0.260, P<0.01). (3) Anxiety played a partially mediating role between negative perfectionism and academic procrastination, with direct effect and mediating effect accounting for 49.11% (0.055/0.112) and 50.89% (0.057/0.112) of the total effect, respectively. (4) The effect of negative perfectionism on anxiety was moderated by negative cognitive emotions, and the predictive effect of negative perfectionism on anxiety was stronger in nursing college students with high negative cognitive emotion ( β=0.231, P<0.001). Conclusion:Among nursing college students, negative perfectionism can predict academic procrastination through anxiety, and cognitive emotion regulation strategies moderate the predictive effect of negative perfectionism on anxiety.

Objective:To explore the impact of negative perfectionism on academic procrastination, as well as the mediating role of anxiety and the moderating role of negative cognitive emotion regulation strategies.Methods:In December 2022, a cross-sectional survey was conducted on 4 178 students from a medical college in Heilongjiang Province. The Zi negative perfectionism questionnaire, procrastination assessment scale-student, generalized anxiety disorder-7, and cognitive emotion regulation questionnaire were used to conduct the questionnaire survey, and 4 004 valid questionnaires were recovered. SPSS 26.0 statistical software was used for common method deviation test, descriptive statistics and correlation analysis, PROCESS macro program was used for mediation and moderation effect analysis.Results:(1) The scores of nursing students' negative perfectionism, anxiety, negative cognitive emotion regulation strategy, and academic procrastination were (120.48±23.40), (12.75±5.36), (44.82±11.20), and (42.95±14.30), respectively. (2) Negative perfectionism was positively correlated with anxiety ( r=0.311, P<0.01) and academic procrastination ( r=0.113, P<0.01). Academic procrastination was positively correlated with anxiety ( r=0.190, P<0.01) and negative cognitive emotion regulation strategies ( r=0.260, P<0.01). (3) Anxiety played a partially mediating role between negative perfectionism and academic procrastination, with direct effect and mediating effect accounting for 49.11% (0.055/0.112) and 50.89% (0.057/0.112) of the total effect, respectively. (4) The effect of negative perfectionism on anxiety was moderated by negative cognitive emotions, and the predictive effect of negative perfectionism on anxiety was stronger in nursing college students with high negative cognitive emotion ( β=0.231, P<0.001). Conclusion:Among nursing college students, negative perfectionism can predict academic procrastination through anxiety, and cognitive emotion regulation strategies moderate the predictive effect of negative perfectionism on anxiety.

To analyze whether the serum concentration of estradiol on the day of progesterone conversion could predict the pregnancy outcome of frozen-thawed embryo transfer in hormone replacement cycle. In this paper, a case-control study was conducted to retrospectively analyze the 230 cycles of hormone replacement therapy-frozen thawed embryo transfer(HRT-FET)conducted by the Department of Reproductive Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University from January 2018 to December 2020. The concentration of serum estradiol was between 139.5-3 941.0 pg/ml. According to the percentile of serum estradiol concentration on the day of endometrial transformation, patients were divided into three groups: control group (<25th percentile, n=58), high estradiol group (25th-75th percentile, n=112) and ultra-high estradiol group (>75th percentile, n=60). Comparing the basic characteristics and pregnancy outcome of the three groups, the main observation index was the live birth rate, and the secondary observation index was the clinical pregnancy rate. F test and Kruskal-Wallis ( H) test were used to compare the measurement data, and χ 2 test was used to compare the counting data. The results showed that there was no significant difference in age, anti-Müllerian hormone(AMH), antral follicle count(AFC), body mass index(BMI), years of infertility and the proportion of primary infertility among the three groups( F=2.375, H=5.479, H=5.374, F=1.391, H=4.779, χ2=1.969, P>0.05). FET cycle treatment: There was no significant difference in the concentration of progesterone (P) before transformation, the thickness of endometrium on the day of transformation, the proportion of single embryo transfer and blastocyst transfer among the three groups ( H=5.359, H=5.957, χ2=0.626, χ2=4.532, P>0.05). The days of estrogen administration before endometrial transformation in the three groups during the FET cycle were 13.0 (12.0, 14.0) days in the high estradiol group and 13.0 (12.0, 15.0) days in the ultra-high estradiol group, which were significantly longer than those in the control group 13.0(12.0, 13.3)days. The E2 concentration before intimal transformation in high estradiol group was 1 560.4 (1 170.2, 1 848.2) pg/ml, while that in ultra-high estradiol group was 2 420.9 (2 131.0, 2 849.2) pg/ml, which was significantly higher than that in control group 238.8 (206.9, 287.0) pg/ml. The pregnancy outcome of the three groups: the clinical pregnancy rate of the three groups was 37.9% in the control group, 51.8% in the high estradiol group and 40.0% in the ultra-high estradiol group, of which the high estradiol group had the highest clinical pregnancy rate, followed by the ultra-high estradiol group. But there was no significant difference among the three groups (χ2=3.853, P>0.05). The embryo implantation rate of the three groups was 19.3%, 25.0%, 32.8%, respectively, and the embryo implantation rate of the ultra-high estradiol group was the highest, but there was no significant difference among the three groups (χ2=5.544, P>0.05).The live birth rate of the three groups was 37.9%, 39.3%, 40.0%, respectively, and the difference was not statistically significant (χ2=0.05, P>0.05). A total of 14(13.5%) abortions occurred in 104 clinical pregnancies, all of which occurred in the high estradiol level group. Of the 104 clinical pregnancies, 24 (23.1%) had twin pregnancies, which occurred in the high estradiol level group (10 cases) and the ultra-high estradiol level group (14 cases). There were no twin pregnancies in the control group. Ectopic pregnancy occurred in 4 of 230 FET cycles (1.7%), 2 in control group and 2 in high estradiol group, and no ectopic pregnancy in ultra-high estradiol group.

To analyze whether the serum concentration of estradiol on the day of progesterone conversion could predict the pregnancy outcome of frozen-thawed embryo transfer in hormone replacement cycle. In this paper, a case-control study was conducted to retrospectively analyze the 230 cycles of hormone replacement therapy-frozen thawed embryo transfer(HRT-FET)conducted by the Department of Reproductive Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University from January 2018 to December 2020. The concentration of serum estradiol was between 139.5-3 941.0 pg/ml. According to the percentile of serum estradiol concentration on the day of endometrial transformation, patients were divided into three groups: control group (<25th percentile, n=58), high estradiol group (25th-75th percentile, n=112) and ultra-high estradiol group (>75th percentile, n=60). Comparing the basic characteristics and pregnancy outcome of the three groups, the main observation index was the live birth rate, and the secondary observation index was the clinical pregnancy rate. F test and Kruskal-Wallis ( H) test were used to compare the measurement data, and χ 2 test was used to compare the counting data. The results showed that there was no significant difference in age, anti-Müllerian hormone(AMH), antral follicle count(AFC), body mass index(BMI), years of infertility and the proportion of primary infertility among the three groups( F=2.375, H=5.479, H=5.374, F=1.391, H=4.779, χ2=1.969, P>0.05). FET cycle treatment: There was no significant difference in the concentration of progesterone (P) before transformation, the thickness of endometrium on the day of transformation, the proportion of single embryo transfer and blastocyst transfer among the three groups ( H=5.359, H=5.957, χ2=0.626, χ2=4.532, P>0.05). The days of estrogen administration before endometrial transformation in the three groups during the FET cycle were 13.0 (12.0, 14.0) days in the high estradiol group and 13.0 (12.0, 15.0) days in the ultra-high estradiol group, which were significantly longer than those in the control group 13.0(12.0, 13.3)days. The E2 concentration before intimal transformation in high estradiol group was 1 560.4 (1 170.2, 1 848.2) pg/ml, while that in ultra-high estradiol group was 2 420.9 (2 131.0, 2 849.2) pg/ml, which was significantly higher than that in control group 238.8 (206.9, 287.0) pg/ml. The pregnancy outcome of the three groups: the clinical pregnancy rate of the three groups was 37.9% in the control group, 51.8% in the high estradiol group and 40.0% in the ultra-high estradiol group, of which the high estradiol group had the highest clinical pregnancy rate, followed by the ultra-high estradiol group. But there was no significant difference among the three groups (χ2=3.853, P>0.05). The embryo implantation rate of the three groups was 19.3%, 25.0%, 32.8%, respectively, and the embryo implantation rate of the ultra-high estradiol group was the highest, but there was no significant difference among the three groups (χ2=5.544, P>0.05).The live birth rate of the three groups was 37.9%, 39.3%, 40.0%, respectively, and the difference was not statistically significant (χ2=0.05, P>0.05). A total of 14(13.5%) abortions occurred in 104 clinical pregnancies, all of which occurred in the high estradiol level group. Of the 104 clinical pregnancies, 24 (23.1%) had twin pregnancies, which occurred in the high estradiol level group (10 cases) and the ultra-high estradiol level group (14 cases). There were no twin pregnancies in the control group. Ectopic pregnancy occurred in 4 of 230 FET cycles (1.7%), 2 in control group and 2 in high estradiol group, and no ectopic pregnancy in ultra-high estradiol group.