1.Prevalence and influencing factors of school bullying experienced by primary and middle school students
ZHU Yunjiao ; GU Fang ; MENG Jia ; LI Juanjuan ; SHEN Yu ; GAO Lei
Journal of Preventive Medicine 2025;37(1):1-6
Objective:
To investigate the situation and influencing factors of school bullying experienced by primary and middle school students, so as to provide the basis for formulating school bullying intervention measures and promoting students' physical and mental health development.
Methods:
All the counties (cities, districts) in Zhejiang Province were stratified to urban and suburban areas, primary, junior high and senior high school students were selected using a stratified cluster sampling method. Basic information, lifestyle and school bullying were collected through questionnaire surveys. Factors affecting school bullying experienced by primary and middle school students were analyzed using a multivariable logistic regression model.
Results:
Totally 137 846 valid questionnaires were recovered, with an effective recovery rate of 97.17%. There were 72 526 males (52.61%) and 65 320 females (47.39%). There were 47 561 primary school students (34.50%), 47 701 junior high school students (34.61%) and 42 584 senior high school students (30.89%). A total of 3 987 students suffered from school bullying, accounting for 2.89%. The proportions of being maliciously teased, being intentionally excluded from group activities/isolated, being teased about physical defects or appearance, being hit/kicked/pushed/shoved/locked in a room, being threatened, and being extorted for money were 2.04%, 1.18%, 1.11%, 0.86%, 0.84% and 0.83%, respectively. Multivariable logistic regression analysis showed that the students who were males (OR=1.122, 95%CI: 1.048-1.202), lived in suburban areas (OR=1.322, 95%CI: 1.233-1.418), lived in areas with medium (OR=1.086, 95%CI: 1.006-1.173) or underdeveloped (OR=1.298, 95%CI: 1.191-1.415) economic level, had higher academic levels (junior high school, OR=1.380, 95%CI: 1.270-1.499; senior high school, OR=1.210, 95%CI: 1.083-1.351), lived on campus (OR=1.489, 95%CI: 1.372-1.616), engaged in fights (OR=6.029, 95%CI: 5.585-6.509), attempted to smoke (OR=1.320, 95%CI: 1.128-1.545), drank (OR=1.735, 95%CI: 1.575-1.912), were scolded and beaten by parents (OR=1.972, 95%CI: 1.822-2.135) and were obese (OR=1.240, 95%CI: 1.132-1.360) were more likely to experience school bullying.
Conclusion
The harm of school bullying to the physical and mental health of primary and middle school students should be taken seriously, and active policy measures should be adopted to strengthen intervention.
2.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.
3.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.
4.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.
5.Timing of glucocorticoids use in the treatment of syphilitic uveitis
Lili GU ; Fan GAO ; Yanrong WANG ; Xia WANG
International Eye Science 2025;25(7):1177-1181
AIM: To investigate timing of glucocorticoids use in the treatment of syphilitic uveitis.METHODS: A retrospective study was conducted in 110 patients(134 eyes)with syphilitic uveitis diagnosed from January 2008 to January 2021, of whom 24 were binocular. The time from onset to treatment was 1 d to 3 mo. They were divided into three groups according to the treatment, including 98 eyes with completed clearely fundus lesions and no abnormalities in fundus fluorescein angiography(FFA)+ indocyanine green angiography(ICGA)+ optical coherence tomography(OCT)after treated with antibiotics alone for 1 to 2 wk in single antibiotics group, 26 eyes with in completely cleared fundus lesions and retinal vessels wall staining observed by FFA or choroidal weak fluorescence observed by ICGA after standard antisyphilitic treatments for 1 to 2 wk in first antibiotics followed by hormones group, and 10 eyes treated according to uveitis at other hospital in the absence of a clear cause of disease, that was intravenously dripped with 250 mL of normal saline and 10 mg of dexamethasone once a day for 7 to 10 d in total, then clearly diagnosed as syphilitic uveitis by Treponema pallidum particle agglutination(TPPA)test after receiving treatment for 10 to 14 d in hormones followed by antibiotics group. The best corrected visual acuity, slit-lamp examination, fundus photography, OCT, FFA, ICGA and prognosis of the three groups of patients were compared.RESULTS: There were statistically significant difference in the best corrected visual acuity, optic disc, retinal vasculitis, choroidal weak fluorescence, and RPR titer before and after treatment of the three groups of patients. The prognosis of the hormones followed by antibiotics group was lower than that in the single antibiotics group and antibiotics followed by hormones group, and the proportion of “good” prognosis in the antibiotics followed by hormones group was larger than that in other groups.CONCLUSION: Early diagnosis and regular treatment of syphilitic uveitis has a good overall prognosis, and giving large doses of glucocorticoids before thorough antisyphilitic treatments is not conducive to the recovery of disease. In patients with residual lesions after standard antisyphilitic, the application of small doses of glucocorticoids is helpful for the recovery of the disease.
6.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.
7.A Case of Neurofibromatosis Type 1 Complicated with Bilateral Sensorineural Hearing Loss
Ruzhen GAO ; Xinmiao FAN ; Wei GU ; Tengyu YANG ; Zhuhua ZHANG ; Tao WANG ; Mingsheng MA ; Zenan XIA ; Hanhui FU ; Yaping LIU ; Xiaowei CHEN
JOURNAL OF RARE DISEASES 2025;4(3):348-354
Neurofibromatosis type 1 (NF1) presents with a diverse range of symptoms that can affect the skin, bones, eyes, central nervous system, and other organs. This article reports the diagnosis and treatment process of a patient with NF1 complicated by bilateral severe-to-profound sensorineural hearing loss. Genetic testing revealed a heterozygous variant of
8.Population screening for acupuncture treatment of neck pain: a machine learning study.
Zhen GAO ; Mengjie CUI ; Haijun WANG ; Cheng XU ; Nixuan GU ; Laixi JI
Chinese Acupuncture & Moxibustion 2025;45(4):405-412
OBJECTIVE:
To screen the population for acupuncture treatment of neck pain, using functional magnetic resonance imaging (fMRI) technology and based on machine learning algorithms.
METHODS:
Eighty patients with neck pain were recruited. Using FPX25 handheld pressure algometer, the tender points were detected in the areas with high-frequent onset of neck pain and high degree of acupoint sensitization. Acupuncture was delivered at 4 tender points with the lowest pain threshold, once every two days; and the treatment was given 3 times a week and for 2 consecutive weeks. The amplitude of low-frequency fluctuation (ALFF) of the brain before treatment was taken as a predictive feature to construct support vector machine (SVM), logistic regression (LR), and K-nearest neighbors (KNN) models to predict the responses of neck pain patients to acupuncture treatment. A longitudinal analysis of the ALFF features was performed before and after treatment to reveal the potential biological markers of the reactivity to the acupuncture therapy.
RESULTS:
The SVM model could successfully distinguish high responders (48 cases) and low responders (32 cases) to acupuncture treatment, and its accuracy rate reached 82.5%. Based on the SVM model, the ALFF values of 4 brain regions were identified as the consistent predictive features, including the right middle temporal gyrus, the right superior occipital gyrus, and the bilateral posterior cingulate gyrus. In the patients with high acupuncture response, the ALFF value in the left posterior cingulate gyrus decreased after treatment (P<0.05), whereas in the patients with low acupuncture response, the ALFF value in the right superior occipital gyrus increased after treatment (P<0.01). The longitudinal functional connectivity (FC) analysis found that compared with those before treatment, the high responders showed the enhanced FC after treatment between the left posterior cingulate gyrus and various regions, including the bilateral Crus1 of the cerebellum, the right insula, the bilateral angular gyrus, the left medial superior frontal gyrus, and the left middle cingulate gyrus (GRF: corrected, voxel level: P<0.05, mass level: P<0.05). In contrast, the low responders exhibited the enhanced FC between the left posterior cingulate gyrus and the left Crus2 of the cerebellum, the left middle temporal gyrus, the right posterior cingulate gyrus, and the left angular gyrus; besides, FC was reduced in low responders between the left posterior cingulate gyrus and the right supramarginal gyrus (GRF: corrected, voxel level: P<0.05, mass level: P<0.05).
CONCLUSION
This study validates the practicality of pre-treatment ALFF feature prediction for acupuncture efficacy on neck pain. The therapeutic effect of acupuncture on neck pain is potentially associated with its impact on the default mode network, and then, alter the pain perception and emotional regulation.
Humans
;
Neck Pain/physiopathology*
;
Acupuncture Therapy
;
Female
;
Male
;
Adult
;
Middle Aged
;
Machine Learning
;
Magnetic Resonance Imaging
;
Young Adult
;
Brain/physiopathology*
;
Acupuncture Points
;
Aged
9.Thirty-two cases of chronic primary tinnitus treated with acupuncture and moxibustion technique of Daoqi Tongluo.
Wenwen YANG ; Lu LI ; Siyue YANG ; Sujing LI ; Xinbo GU ; Hong GAO
Chinese Acupuncture & Moxibustion 2025;45(4):448-452
OBJECTIVE:
To observe the clinical effect of acupuncture-moxibustion therapy of Daoqi Tongluo (conducting qi and unblocking collateral) on chronic primary tinnitus.
METHODS:
A total of 32 patients with chronic primary tinnitus were included and treated with the acupuncture-moxibustion therapy of Daoqi Tongluo. This regimen was composed of abdominal acupuncture, body acupuncture, warm needling and posterior-auricular local flashing cupping, Zhongwan (CV12), Guanyuan (CV6) and Yindu (KI9), Tinggong (SI19), Cong'er point, Waiguan (TE5) of the affected side, etc. are selected. The treatment was given once every two days, 3 treatments a week; and one course of intervention was required, with 10 treatments included. Before and after treatment, the scores of tinnitus handicap inventory (THI), tinnitus evaluation questionnaire (TEQ), self-rating scale of sleep (SRSS), self-rating anxiety scale (SAS), and self-rating depression scale (SDS) were observed, and the clinical effect was evaluated.
RESULTS:
After interventions, the scores of THI, TEQ, SRSS, SAS and SDS were reduced in comparison with those before interventions in the patients (P<0.001, P<0.01, P<0.05), and the total effective rate was 71.9% (23/32).
CONCLUSION
Acupuncture-moxibustion therapy of Daoqi Tongluo is effective on chronic primary tinnitus and this therapy can alleviate tinnitus degree, improve sleep quality and attenuate the anxious and depressive emotion of the patients.
Adult
;
Aged
;
Female
;
Humans
;
Male
;
Middle Aged
;
Young Adult
;
Acupuncture Points
;
Acupuncture Therapy
;
Chronic Disease/therapy*
;
Moxibustion
;
Tinnitus/psychology*
;
Treatment Outcome
10.Exploration on JI Laixi's academic philosophy: "making use of various therapeutic methods, taking effectiveness as the first priority".
Nixuan GU ; Yaohui CUI ; Zhen GAO ; Jinji ZHAO ; Dingjun CAI ; Laixi JI
Chinese Acupuncture & Moxibustion 2025;45(10):1470-1476
The paper introduces the reconstruction of Professor JI Laixi's modern paradigm of thought, "making use of various therapeutic methods". Professor JI Laixi reveres the concept of "integration of western medicine and TCM" and advocates the "combination of advantageous techniques of acupuncture and moxibustion". Guided by the concept of "combination of superiority, and coordinated adjustment", a multi-mode intervention is delivered in treatment, including the operation with the nine needles, relaxation with acupotomy, acupoint thread-embedding, Chinese herbal compounds and adjuvant therapy with western medicines, so as to obtain dynamic adjustment of multiple targets and levels, "taking effectiveness as the first priority". The pathway of clinical practice is determined and clear, which provides a paradigm of "upholding the right and innovating" for the modernization of acupuncture and moxibustion.
Humans
;
Acupuncture Therapy/methods*
;
China
;
Moxibustion/history*
;
History, 20th Century
;
Medicine, Chinese Traditional/history*
;
Acupuncture/history*


Result Analysis
Print
Save
E-mail