BACKGROUND:Periprosthetic joint infection is the most common cause of early failure after total knee replacement.The current methods of preventing periprosthetic joint infection by improving the surface of the prosthesis have limitations to varying degrees.OBJECTIVE:To construct a coating material that can stably improve the surface of the implant,prevent the initial floating bacterial infection of periprosthetic infection,and regulate the bone transfer function around the implant.METHODS:(1)Material preparation:YGF polypeptide(which promotes bone formation),LL-37 polypeptide(with antibacterial properties)and YGF+LL-37 composite peptide were prepared by Fmoc solid phase peptide synthesis technology.The titanium-based materials were immersed in the three polypeptide solutions for 2 hours to obtain YGF coating,LL-37 coating and composite peptide coating coated titanium sheets.(2)In vitro experiment:Uncoated titanium sheets and coated titanium sheets were co-cultured with Escherichia coli(or Staphylococcus aureus)and the colonies were counted by plate method.MC3T3 cells were inoculated on the surface of uncoated titanium sheet and coated titanium sheet,respectively.Alizarin red staining was used to observe the calcium salt deposition on the surface of the material.Western blot assay was used to detect the protein expression of RUNX2,osteocalcin,osteopontin,and bone morphogenetic protein 2.(3)Animal experiment:24 SD rats were randomly divided into three groups:the blank group(n=8)was implanted with uncoated titanium nails in the femoral medullary canal;the control group(n=8)was implanted with uncoated titanium nails in the femoral medullary canal+intra-articular injection of Staphylococcus aureus suspension;the experimental group(n=8)was implanted with composite peptide coated titanium nails in the femoral medullary canal+intra-articular injection of Staphylococcus aureus suspension.After 5 weeks of implantation,micro-CT examination,hematoxylin-eosin staining and immunohistochemical staining of femur specimens were performed.RESULTS AND CONCLUSION:(1)In vitro experiment:Compared with uncoated titanium sheet and YGF coated titanium sheet,LL-37 coated and composite peptide coated titanium sheet could significantly inhibit the growth and reproduction of Escherichia coli and Staphylococcus aureus.Compared with uncoated titanium sheets and LL-37-coated titanium sheets,YGF-coated and composite peptide-coated titanium sheets could promote calcium salt deposition in osteoblasts and increase the protein expression of RUNX2,osteocalcin,osteopontin and bone morphogenetic protein 2.(2)Animal experiment:Micro-CT test showed that the control group had less bone mass than the blank group and the experimental group.Hematoxylin-eosin staining showed that there was a large amount of fibrous tissue around the nail channel in the control group,only a small amount of tissue fibrosis around the nail channel in the blank group,and only a small amount of tissue fibrosis around the nail channel in the experimental group.Immunohistochemical staining showed that the protein expression of interleukin 1β and tumor necrosis factor α in the control group was higher than that in the blank group and the experimental group,and the expression of osteocalcin,RUNX2 and osteopontin in the experimental group was higher than that in the blank group and the control group.(3)The results show that the titanium-based material coated with YGF+LL-37 composite peptide coating has good antibacterial ability and can promote bone transfer around the implant.

OBJECTIVE:Based on different algorithms of machine learning,the prediction model of lumbar disc herniation has become a trend and hot spot in the development of precision medicine.However,there is limited evidence on the reporting quality and methodological quality of prediction models of lumbar disc herniation outcomes using machine learning.This article is aimed to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation by comprehensively analyzing the report quality and risk of bias of previous studies that developed and validated prognosis prediction models based on machine learning through a comprehensive literature search,in order to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation.METHODS:The databases of CNKI,WanFang,VIP,SinOMED,PubMed,Web of Science,Embase,and The Cochrane Library were searched by computer.Studies on the use of machine learning to develop(and/or validate)prognostic prediction models for lumbar disc herniation were collected from the inception of the database to December 31,2023.Two researchers independently screened the literature,extracted data,and assessed the risk of bias of the included studies.The reporting quality and risk of bias of the included studies were assessed by the Multivariable Transparent Reporting of Predictive Models(TRIPOD)statement and the Predictive Model Risk of Bias Assessment Tool(PROBAST).The results of the evaluation were analyzed using descriptive statistics and visual charts.RESULTS:(1)A total of 23 articles were included,and the TRIPOD compliance of each study ranged from 11％to 87％,with a median compliance of 54％.The quality of reporting of titles,detailed descriptions of treatment measures,blinding of predictors,handling of missing data,details of risk stratification,specific procedures for enrollment,model interpretation,and model performance was mostly poor,with TRIPOD adherence rates ranging from 4％to 35％.(2)Of all included studies,61％had a high risk of bias and 39％had an unclear overall risk of bias.The area under the curve,accuracy,sensitivity and specificity were used to evaluate the performance of the model.The areas under the curve of 20 models were reported,ranging from 0.561 to 0.999.Three models reported the accuracy of the model,ranging from 82.07％to 89.65％.(3)Among all included studies,the statistical analysis domain was most often assessed as having a high risk of bias,mainly due to the small number of valid samples,the selection of predictors based on univariate analysis and the lack of calibration and discrimination assessment of the model in the study.CONCLUSION:These results indicate that machine learning can achieve good predictive ability in the development and validation of prognostic models for lumbar disc herniation.The commonly used algorithms include regression algorithm,support vector machine,decision tree,random forest,artificial neural network,naive Bayes and other algorithms.Reasonable algorithms combined with clinical practice can improve the accuracy of prognosis prediction of lumbar disc herniation.However,the reporting and methodological quality of prognosis prediction models based on machine learning are poor,the prediction performance of different models varies greatly,and the generalization and extrapolation of research models are unclear.There is an urgent need to improve the design,implementation and reporting of such studies.To promote the application of machine learning in the clinical practice of lumbar disc herniation prediction models,it is necessary to comprehensively consider various predictors related to the prognosis of the disease before modeling,and strictly follow the relevant standards of PROBAST tool during modeling.

BACKGROUND:Periprosthetic joint infection is the most common cause of early failure after total knee replacement.The current methods of preventing periprosthetic joint infection by improving the surface of the prosthesis have limitations to varying degrees.OBJECTIVE:To construct a coating material that can stably improve the surface of the implant,prevent the initial floating bacterial infection of periprosthetic infection,and regulate the bone transfer function around the implant.METHODS:(1)Material preparation:YGF polypeptide(which promotes bone formation),LL-37 polypeptide(with antibacterial properties)and YGF+LL-37 composite peptide were prepared by Fmoc solid phase peptide synthesis technology.The titanium-based materials were immersed in the three polypeptide solutions for 2 hours to obtain YGF coating,LL-37 coating and composite peptide coating coated titanium sheets.(2)In vitro experiment:Uncoated titanium sheets and coated titanium sheets were co-cultured with Escherichia coli(or Staphylococcus aureus)and the colonies were counted by plate method.MC3T3 cells were inoculated on the surface of uncoated titanium sheet and coated titanium sheet,respectively.Alizarin red staining was used to observe the calcium salt deposition on the surface of the material.Western blot assay was used to detect the protein expression of RUNX2,osteocalcin,osteopontin,and bone morphogenetic protein 2.(3)Animal experiment:24 SD rats were randomly divided into three groups:the blank group(n=8)was implanted with uncoated titanium nails in the femoral medullary canal;the control group(n=8)was implanted with uncoated titanium nails in the femoral medullary canal+intra-articular injection of Staphylococcus aureus suspension;the experimental group(n=8)was implanted with composite peptide coated titanium nails in the femoral medullary canal+intra-articular injection of Staphylococcus aureus suspension.After 5 weeks of implantation,micro-CT examination,hematoxylin-eosin staining and immunohistochemical staining of femur specimens were performed.RESULTS AND CONCLUSION:(1)In vitro experiment:Compared with uncoated titanium sheet and YGF coated titanium sheet,LL-37 coated and composite peptide coated titanium sheet could significantly inhibit the growth and reproduction of Escherichia coli and Staphylococcus aureus.Compared with uncoated titanium sheets and LL-37-coated titanium sheets,YGF-coated and composite peptide-coated titanium sheets could promote calcium salt deposition in osteoblasts and increase the protein expression of RUNX2,osteocalcin,osteopontin and bone morphogenetic protein 2.(2)Animal experiment:Micro-CT test showed that the control group had less bone mass than the blank group and the experimental group.Hematoxylin-eosin staining showed that there was a large amount of fibrous tissue around the nail channel in the control group,only a small amount of tissue fibrosis around the nail channel in the blank group,and only a small amount of tissue fibrosis around the nail channel in the experimental group.Immunohistochemical staining showed that the protein expression of interleukin 1β and tumor necrosis factor α in the control group was higher than that in the blank group and the experimental group,and the expression of osteocalcin,RUNX2 and osteopontin in the experimental group was higher than that in the blank group and the control group.(3)The results show that the titanium-based material coated with YGF+LL-37 composite peptide coating has good antibacterial ability and can promote bone transfer around the implant.

OBJECTIVE:Based on different algorithms of machine learning,the prediction model of lumbar disc herniation has become a trend and hot spot in the development of precision medicine.However,there is limited evidence on the reporting quality and methodological quality of prediction models of lumbar disc herniation outcomes using machine learning.This article is aimed to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation by comprehensively analyzing the report quality and risk of bias of previous studies that developed and validated prognosis prediction models based on machine learning through a comprehensive literature search,in order to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation.METHODS:The databases of CNKI,WanFang,VIP,SinOMED,PubMed,Web of Science,Embase,and The Cochrane Library were searched by computer.Studies on the use of machine learning to develop(and/or validate)prognostic prediction models for lumbar disc herniation were collected from the inception of the database to December 31,2023.Two researchers independently screened the literature,extracted data,and assessed the risk of bias of the included studies.The reporting quality and risk of bias of the included studies were assessed by the Multivariable Transparent Reporting of Predictive Models(TRIPOD)statement and the Predictive Model Risk of Bias Assessment Tool(PROBAST).The results of the evaluation were analyzed using descriptive statistics and visual charts.RESULTS:(1)A total of 23 articles were included,and the TRIPOD compliance of each study ranged from 11％to 87％,with a median compliance of 54％.The quality of reporting of titles,detailed descriptions of treatment measures,blinding of predictors,handling of missing data,details of risk stratification,specific procedures for enrollment,model interpretation,and model performance was mostly poor,with TRIPOD adherence rates ranging from 4％to 35％.(2)Of all included studies,61％had a high risk of bias and 39％had an unclear overall risk of bias.The area under the curve,accuracy,sensitivity and specificity were used to evaluate the performance of the model.The areas under the curve of 20 models were reported,ranging from 0.561 to 0.999.Three models reported the accuracy of the model,ranging from 82.07％to 89.65％.(3)Among all included studies,the statistical analysis domain was most often assessed as having a high risk of bias,mainly due to the small number of valid samples,the selection of predictors based on univariate analysis and the lack of calibration and discrimination assessment of the model in the study.CONCLUSION:These results indicate that machine learning can achieve good predictive ability in the development and validation of prognostic models for lumbar disc herniation.The commonly used algorithms include regression algorithm,support vector machine,decision tree,random forest,artificial neural network,naive Bayes and other algorithms.Reasonable algorithms combined with clinical practice can improve the accuracy of prognosis prediction of lumbar disc herniation.However,the reporting and methodological quality of prognosis prediction models based on machine learning are poor,the prediction performance of different models varies greatly,and the generalization and extrapolation of research models are unclear.There is an urgent need to improve the design,implementation and reporting of such studies.To promote the application of machine learning in the clinical practice of lumbar disc herniation prediction models,it is necessary to comprehensively consider various predictors related to the prognosis of the disease before modeling,and strictly follow the relevant standards of PROBAST tool during modeling.

In recent years, hybrid brain-computer interfaces (BCIs) have gained significant attention due to their demonstrated advantages in increasing the number of targets and enhancing robustness of the systems. However, Existing studies usually construct BCI systems using intense auditory stimulation and strong central visual stimulation, which lead to poor user experience and indicate a need for improving system comfort. Studies have proved that the use of peripheral visual stimulation and lower intensity of auditory stimulation can effectively boost the user's comfort. Therefore, this study used high-frequency peripheral visual stimulation and 40-dB weak auditory stimulation to elicit steady-state visual evoked potential (SSVEP) and auditory steady-state response (ASSR) signals, building a high-comfort hybrid BCI based on weak audio-visual evoked responses. This system coded 40 targets via 20 high-frequency visual stimulation frequencies and two auditory stimulation frequencies, improving the coding efficiency of BCI systems. Results showed that the hybrid system's averaged classification accuracy was (78.00 ± 12.18) %, and the information transfer rate (ITR) could reached 27.47 bits/min. This study offers new ideas for the design of hybrid BCI paradigm based on imperceptible stimulation.
Brain-Computer Interfaces ; Humans ; Evoked Potentials, Visual/physiology* ; Acoustic Stimulation ; Photic Stimulation ; Electroencephalography ; Evoked Potentials, Auditory/physiology* ; Adult

OBJECTIVE: To investigate the analgesic effect of locally injecting a "cocktail" analgesia containing a high-dose compound betamethasone during revision hip arthroplasty, and also to study the usage of opioid drugs. METHODS: A retrospective analysis was conducted on the clinical data of 180 patients who underwent revision hip arthroplasty due to aseptic loosening of the hip prosthesis between January 2015 and December 2021. Among them, 95 patients received intraoperative injection of "cocktail" analgesia containing high-dose compound betamethasone (group A), and 85 patients received intraoperative injection of traditional "cocktail" analgesia (group B). There was no significant difference in baseline data such as gender, age, body mass index, presence or absence of diabetes mellitus between the two groups ( P>0.05). The hospital stay, use of opioid drugs within 72 hours, and the incidence of adverse reactions within 72 hours after operation [including nausea and vomiting, insomnia, deep venous thrombosis (DVT), infection, etc.] were recorded and compared between the two groups. The pain relief of patients was evaluated using the static and dynamic visual analogue scale (VAS) scores at 12, 24, 48, and 72 hours after operation. The incidence of complications (including prosthesis re-loosening, hip joint dislocation, hip joint stiffness, limping, chronic pain, etc.) at 2 years after operation was recorded, and the Harris Hip Score (HHS) was used to evaluate the function at 2 years after operation. RESULTS: In group A, the utilization rate of opioid drugs within 72 hours after operation was significantly lower than that in group B ( P<0.05). However, there was no significant difference between the two groups in terms of hospital stay, as well as the incidence of adverse reactions such as nausea and vomiting, insomnia, DVT, and infection within 72 hours after operation ( P>0.05). The VAS scores of both groups decreased with time, and the differences between different time points were significant ( P<0.05). The static and dynamic VAS scores of group A were significantly lower than those of group B at 12, 24, and 48 hours after operation ( P<0.05), but there was no significant difference in static and dynamic VAS scores between the two groups at 72 hours after operation ( P>0.05). All patients in both groups were followed up 2-8 years, with an average of 5.73 years. At 2 years after operation, no significant difference was found between the two groups in the incidence of complications and HHS score ( P>0.05). CONCLUSION "Cocktail" analgesia containing a high-dose compound betamethasone for early analgesia after revision hip arthroplasty can effectively reduce postoperative pain and the use of opioid drugs, but will not increase the incidence of infection and DVT after operation.
Humans ; Arthroplasty, Replacement, Hip/adverse effects* ; Betamethasone/therapeutic use* ; Retrospective Studies ; Male ; Female ; Analgesics, Opioid/administration & dosage* ; Pain, Postoperative/prevention & control* ; Middle Aged ; Reoperation ; Aged ; Analgesia/methods* ; Adult ; Pain Measurement ; Pain Management/methods* ; Prosthesis Failure ; Hip Prosthesis

Objective:To compare the curative effects of modified urethral plate reconstruction rolled duct urethroplasty (modified Koyanagi operation), Duckett operation and tubularized incised plate urethroplasty (TIP operation) in the treatment of hypospadias in children.Methods:The clinical data of 100 cases of children with hypospadias admitted to the Third People′s Hospital of Xinjiang Uygur Autonomous Region from January 2018 to June 2022 were analyzed retrospectively. According to different surgical schemes, they were divided into 3 groups, 30 cases performed modified Koyanagi operation were set as group A, 35 cases performed Duckett operation were set as group B, and 35 cases performed TIP operation were set as group C. The recovery time of urination function, hospital stay, overall treatment effect and postoperative complications were compared among the three groups.Results:There were no significant differences in the recovery time of micturition function, hospitalization time, intraoperative blood loss and operation time among the three groups ( P>0.05). The incidence of postoperative complications among the group A, B and C were 20.00%(6/30), 28.57%(10/35), 2.98%(1/35), and the incidence of postoperative complications in the group C was lower than that in the group A and group B ( χ2 = 4.94 and 8.74, P<0.05). Conclusions:In the treatment of hypospadias in children by Modified Koyanagi operation, Duckett operation and TIP operation have no significant difference in curative effect, but TIP operation has fewer postoperative complications.

Objective:To investigate the related factors for unexpected positive intraoperative cultures (UPC) in patients undergoing aseptic hip revision and the long-term prosthesis survival rate in such patients.Methods:A retrospective cases series analysis was conducted in 397 patients who underwent aseptic hip revision surgery at the Department of Orthopaedics, First Affiliated Hospital of Xinjiang Medical University from January 2012 to December 2021. There were 225 females and 172 males with an age ( M(IQR)) of 58(23) years (range:21 to 89 years) and a body mass index (BMI) of 25(6) kg/m 2 (range:15 to 39 kg/m 2). Based on the culture results of intraoperative specimens, patients were divided into culture-positive group (32 cases) and culture-negative group (365 cases). The clinical data were analyzed including gender, age, BMI, preoperative C-reactive protein, preoperative erythrocyte sedimentation rate, American Society of Anesthesiologists(ASA) classification, preoperative urinary bacteria, preoperative hypoproteinemia; comorbidities of diabetes mellitus, anemia, chronic obstructive pulmonary disease, cerebral infarction; history of allergy to antibiotics, smoking, drinking, previous prosthetic dislocation, previous surgical intervention; and time from symptom onset to admission, duration of surgery, etc. A univariate analysis was performed by Mann-Whitney U orχ2 test and the independent risk factors were identified by including the independent variables with P<0.20 in the univariate analysis in a logistic regression analysis of dichotomous variables. The study outcomes were defined as :(1) re-surgical treatment for any reason; (2)symptoms of infection such as sinus and incision seepage; (3) persistent excessive hip pain.The Kaplan-Meier survival curve was plotted using the study outcome of any cause as the endpoint event, and the log-rank test was used to compare the 10-year survival rate of the prosthesis in the culture-negative group with that in the culture-positive group. Results:Univariate analysis showed statistically significant differences between the culture-negative and culture-positive groups when comparing gender, BMI, ASA classification, and preoperative urinary bacterial results ( χ2=2.368, P=0.124; χ2=-1.648, P=0.098; χ2=14.128, P=0.003; and χ2=7.384, P=0.007). Logistic regression analysis showed that male, ASA classification Ⅳ, and positive preoperative urinary bacteria were independent risk factors for the development of UPC during aseptic hip revision( OR=2.35,95% CI:1.08 to 5.36, P=0.040; OR=37.32,95% CI:1.80 to 1 810.63, P=0.030; OR=4.11,95% CI:1.40 to 11.12, P=0.012). The follow-up time of the 397 patients included in this study was 70 (134) months (range:12 to 146 months). The Kaplan-Meier survival curves showed that the 10-year survival rates of the prostheses in the culture-negative and culture-positive groups were 95.7% and 75.0%, respectively. There was no statistically significant difference in the 10-year survival rate comparing the two groups ( P=0.661). Conclusions:UPC is more likely to occur in patients undergoing hip revision due to noninfectious factors in those who are male, have positive preoperative urinary bacteria, and have an ASA classification of Ⅳ. Intraoperative specimen culture results (negative or positive) do not affect 10-year prosthesis survival rate after hip revision.

Objective:To investigate the diagnostic efficacy of intraoperative direct sonication in periprosthetic joint infection (PJI).Methods:This is a retrospective case series study. The clinical data of 490 patients with PJI or aseptic prosthesis loosening after hip or knee arthroplasty admitted to the Department of Orthopaedics, First Affiliated Hospital of Xinjiang Medical University from January 2018 to December 2023 were retrospectively analyzed. There were 209 male cases, 281 female cases, aged ( M(IQR)) 63 (19) years (range: 15 to 89 years). There were 328 cases of PJI (123 cases of traditional sonication, 205 cases of intraoperative direct sonication, and 204 cases had simultaneous intraoperative synovial fluid), and 162 patients of aseptic loosening (89 cases of traditional sonication, 73 cases of intraoperative direct sonication, and 96 cases had simultaneous intraoperative synovial fluid). The method of traditional sonication: the prosthesis components were placed in a sterile container, vortexed for 30 seconds, then placed in an ultrasound bath to sonication (frequency:(40±2) kHz, power density:(0.22±0.04) W/cm2) for 5 minutes, vortexed again for 30 seconds, and the resulting sonicate fluid was extracted for culture. The method of intraoperative direct sonication: during the operation, the surgical area, the prosthesis and the tissues around the prosthesis which were placed in a sterile container were respectively subjected to sonication for 5 minutes using a portable handheld ultrasonic cell disruptor device (frequency: 25 kHz, power density:(0.22±0.04) W/cm2), and the fluids before and after sonication were extracted for culture. The method of intraoperative synovial fluid: during the operation, the joint capsule was incised, and the synovial fluid was extracted under direct vision for culture. The sensitivity, specificity, positive and negative predictive values, Youden index, the effect of preoperative antimicrobial agents on culture results, and culture duration for different culture methods. Receiver operating characteristic (ROC) curves were plotted, and the diagnostic efficacy of these methods for PJI was compared using the χ2 test, the Wilcoxon signed-rank test, and other appropriate statistical methods. Results:The sensitivity of intraoperative direct sonication was significantly higher than that of intraoperative synovial fluid culture (89.8%(184/205) vs.56.9%(116/204), χ2=44.457, P<0.01) and traditional sonication (89.8%(184/205) vs.66.7%(82/123), χ2=121.588, P<0.01). However, its specificity was lower compared to intraoperative synovial fluid (87.5%(64/73) vs. 99.0%(95/96), χ2=9.491, P=0.002). The culture duration for intraoperative direct sonication was shorter than for intraoperative synovial fluid 87.0 (41.8) hours vs. 112.5 (78.5) hours, Z=-5.121, P<0.01) and traditional sonication (87.0 (41.8) hours vs. 119.0 (67.5) hours, Z=-7.119, P<0.01). Gram-positive bacteria (predominantly Staphylococcus aureus and Staphylococcus epidermidis) were the most common isolates across all three culture methods. Furthermore, intraoperative direct sonication was more likely to detect polymicrobial infections compared to traditional sonication (38.6% vs. 2.4%, χ2=37.223, P<0.01) and intraoperative synovial fluid (38.6% vs. 0.9%, χ2=55.527, P<0.01). The ROC curve revealed that the area under the curve of intraoperative direct sonication,intraoperative synovial fluid culture and traditional sonication were 0.886 (95% CI:0.843 to 0.930), 0.779 (95% CI:0.743 to 0.815) and 0.788 (95% CI: 0.736 to 0.839). Conclusions:Compared with intraoperative synovial fluid and traditional sonication, intraoperative direct sonication has excellent sensitivity, the shortest appropriate culture duration for pathogenic bacteria, and it is more likely to diagnose PJI patients with polymicrobial infections, having better diagnostic efficacy in the diagnosis of PJI.

Objective: To understand the unhealthy listening habits and related factors hearing on impairment among primary and middle school students in Jilin Province, so as to provide a scientific basis for the prevention of hearing impairment in children and adolescents. Methods: From September to November 2021, a stratified cluster random sampling method was employed to select 12 847 primary and middle school students in nine cities of Jilin Province who use headphones for more than 0.5 hours daily for a questionnaire survey. Data on unhealthy listening habits, lifestyle habits and hearing impairment were collected. The data were analyzed using the χ 2 test and Logistic regression. Results: Totally 1 702 students(13.25%) experienced hearing impairment within the last month. There were statistical differences between the sexes with the average daily headphone use, the times of using headphones ≥1 h every day for one week use in all environment or noisy environment ( χ 2=47.86, 57.60, 66.31, P <0.01). Logistic regression analysis results showed that factors related to the occurrence of hearing impairment among primary and secondary school students included:average daily headphone use of 1-2 h and more than 2 h ( OR=1.74, 95%CI =1.60-1.90; OR=1.73, 95%CI =1.59-1.90), times of using headphones ≥1 h every day for one week were 1-2 times and >2 times ( OR=1.71, 95%CI =1.59- 1.84 ; OR=1.83, 95%CI =1.71-1.97), the times of using headphones≥1 h every day for one week being 1-2 times and >2 times in noisy environment per week ( OR=1.48, 95%CI =1.40-1.56; OR=1.72, 95%CI =1.61-1.86), economic underdevelopment ( OR=1.85, 95%CI =1.76-1.96), boarding （OR=1.78, 95%CI =1.69-1.89), single parent family ( OR=1.72, 95%CI =1.60- 1.87 ), daily activity duration less than 1 h ( OR=1.71, 95%CI =1.63-1.81), sedentary behavior duration more than 6 h per day ( OR=1.88, 95%CI =1.79-1.98) ( P <0.05). Conclusions The behavior of ear protection among primary and middle school students in Jilin Province needs to be enhanced, focusing on students in economically underdeveloped areas, boarding schools and single parent families. It is necessary to guide primary and middle school students to improve their bad ear habits, increase outdoor activities and reduce the time of sitting.