Objective: To investigate the prevalence and influencing factors of menopausal syndrome among postmenopausal women in Pan'an County, Zhejiang Province, so as to provide the basis for guiding the health management of postmenopausal women. Methods: From May 2023 to April 2024, the postmenopausal women aged 40 to 69 years in Pan'an County were selected using the random cluster sampling method. Demographic information, lifestyle and prevalence of gynecological diseases were collected through questionnaire surveys. The prevalence of menopausal syndrome was assessed by modified Kupperman Score Scale. Factors affecting menopausal syndrome were analyzed by a multivariable logistic regression model. Results: A total of 816 postmenopausal women were surveyed, with an mean age of (57.63±2.92) years and a mean natural menopause age of (49.85±2.13) years. There were 574 cases with menopausal syndrome, with a prevalence of 70.34%. Flashes and sweating, insomnia and irritability were common symptoms, accounting for 62.87%, 47.43% and 41.18%, respectively. Multivariable logistic regression analysis showed that monthly personal income of ≤5 000 yuan (<3 000 yuan, OR=3.124, 95%CI: 1.829-5.335; 3 000-5 000 yuan, OR=2.399, 95%CI: 1.370-4.201) and having gynecological diseases (OR=1.970, 95%CI: 1.292-3.004) were associated with a higher risk of menopausal syndrome, while average (OR=0.141, 95%CI: 0.072-0.276) or sufficient sleep quality (OR=0.095, 95%CI: 0.049-0.185) were associated with a lower risk of menopausal syndrome. Conclusion The prevalence of menopausal syndrome among postmenopausal women in Pan'an County is relatively high, and is mainly influenced by personal economic status, sleep quality and the presence of gynecological diseases.

Objective: To explore the relationship between positive parenting styles and academic emotions in junior high school students, as well as the chain mediation effects of parent-child communication and peer relationships, providing a theoretical basis for family education interventions. Methods: Using stratified cluster random sampling, 1 063 students from four junior high schools in a city in Anhui Province were selected for questionnaire surveys, form March to April, 2025. Core variables were measured using the Short form Parenting Style Scale, Adolescent Parent-Child Communication Scale, Peer Relationship Scale, and Adolescent Academic Emotion Questionnaire. Group comparison was conducted using t-test or analysis of variance, and Pearson correlation analysis was used to examine the correlation between positive parenting styles, peer relationships, parent-child communication and positive academic emotions. Multiple linear regression analysis was used to examine the effects of positive parenting styles, peer relationships and parent-child communication on positive academic emotions. A mediation effect model and Bootstrap method were employed to test the chain mediation effects. Results: Students who were class leaders, had parents with higher education levels, or came from intact families scored significantly higher on positive academic emotions ( t/F =7.23, 13.73, 10.67, 4.45, all P < 0.01 ). Positive parenting styles, peer relationships, and parent-child communication were all positively correlated with positive academic emotions ( r =0.45, 0.41, 0.38), and all three positively predicted positive academic emotions ( β =0.24, 0.23, 0.12) (all P < 0.01 ). Further analysis showed that positive parenting styles directly predicted positive academic emotions ( β =0.40) and also indirectly influenced academic emotions through parent-child communication ( β =0.07), peer relationships ( β =0.05), and the chain mediation path of "parent-child communication → peer relationships" ( β =0.04) (all P <0.05), with the total indirect effect accounting for 40.55%. Conclusion Positive parenting styles enhance junior high school students academic emotions through the chain mediation path of "parent-child communication → peer relationships", providing theoretical support for interventions within the educational ecosystem.

Hearing loss has become increasingly prevalent and causes considerable disability, thus gravely burdening the global economy. Irreversible loss of hair cells is a main cause of sensorineural hearing loss, and currently, the only relatively effective clinical treatments are limited to digital hearing equipment like cochlear implants and hearing aids, but these are of limited benefit in patients. It is therefore urgent to understand the mechanisms of damage repair in order to develop new neuroprotective strategies. At present, how to promote the regeneration of functional hair cells is a key scientific question in the field of hearing research. Multiple signaling pathways and transcriptional factors trigger the activation of hair cell progenitors and ensure the maturation of newborn hair cells, and in this article, we first review the principal mechanisms underlying hair cell reproduction. We then further discuss therapeutic strategies involving the co-regulation of multiple signaling pathways in order to induce effective functional hair cell regeneration after degeneration, and we summarize current achievements in hair cell regeneration. Lastly, we discuss potential future approaches, such as small molecule drugs and gene therapy, which might be applied for regenerating functional hair cells in the clinic.
Infant, Newborn ; Humans ; Hair Cells, Auditory, Inner/physiology* ; Ear, Inner/physiology* ; Hair Cells, Auditory/physiology* ; Regeneration/genetics* ; Stem Cells

[This corrects the article DOI: 10.1016/j.apsb.2022.07.023.].

Objective To explore the value of pelvic CT angiography(CTA)digital three-dimensional reconstruction model(abbreviated as"three-dimensional model")in the diagnosis of female pelvic mass.Methods A total of 98 patients with pelvic mass who were hospitalized and operated in Xi'an People's Hos-pital(Xi'an Fourth Hospital)from January 2021 to April 2023 were selected.All patients underwent B-ultra-sound and CTA examination before operation,and the original data of CTA were collected.The digital three-dimensional model of pelvic mass was established by three-dimensional reconstruction software,and the source of pelvic mass was judged according to the blood supply of pelvic mass.Taking postoperative pathological di-agnosis as the gold standard,the coincidence rate between different preoperative diagnosis methods(B-ultra-sound,CTA examination and three-dimensional model)was compared.The receiver operating characteristic(ROC)curve was plotted to evaluate the efficacy of different preoperative diagnostic methods in judging the ovarian origin of pelvic tumors.Results A total of 130 pelvic masses were included in 98 patients,and the average maximum diameter of the mass was(71.61±3.03)mm,including 83 ovarian masses and 47 non-ovarian masses.Taking postoperative pathological diagnosis as the gold standard,the diagnostic coincidence rate of the preoperative three-dimensional model was 72.31％,which was higher than that of B-ultrasound(58.46％)and CTA(52.31％),and the differences were statistically significant(P＜0.001).The sensitivity,specificity,positive predictive value,negative predictive value,accuracy,Kappa value,and area under the ROC curve were 79.51％,91.49％,94.29％,71.67％,83.85％,0.67 and 0.855,respectively,when the three-dimensional model showed that the blood supply of the mass originated from ovarian artery or uterine artery-ovarian branch.Conclusion The three-dimensional model of pelvic CTA can directly display the blood supply source,characteristics of mass,and the relationship between mass and adjacent organs,which can guide the clinical treatment.It has certain clinical value to judge the ovarian origin of pelvic mass by using ovarian artery and uterine artery-ovarian branch.

Objective To construct a risk prediction model for liver cancer in patients with chronic hepatitis C based on seven different machine learning algorithms and select the optimal model. Methods A total of 236 patients with chronic hepatitis C were selected as the research subjects. Patients were divided into a case group and a control group according to whether liver cancer occurs. Prediction models were constructed based on seven machine learning algorithms including classification and regression tree, random forest, gradient boosting decision tree, extreme gradient boosting (XGBoost), logistic regression, K-near neighbor, and support vector machine. The Shapley additive explanations (SHAP) algorithm was used to interpret the best prediction model. Results Among the seven models, the XGBoost model had the best comprehensive prediction performance (accuracy of 0.933, sensitivity of 0.775, specificity of 0.960, area under the ROC curve of 0.956, F1 score of 0.764). The SHAP algorithm suggested that AFP, age, AST, diabetes, BMI, PLT, ALT, liver cysts, FIB-4, and gender contributed to the model decision and are the risk factors for liver cancer in patients with chronic hepatitis C. Conclusion This study develops an interpretable machine learning model based on the XGBoost algorithm, which has a good reference value for individualized monitoring of liver cancer in patients with chronic hepatitis C.

Objective:To investigate the prevalence of cataracts, the surgical coverage, and postoperative visual acuity of adults in Ningxia.Methods:A cross-sectional study using multistage cluster random sampling was conducted.Ten survey sites in Ningxia were selected and the population aged 18 years and over was surveyed with questionnaire, height and weight measurements, visual acuity, intraocular pressure, fundus photography and slit-lamp examinations.Cataract prevalence and its influencing factors were analyzed.Cataract prevalence, surgical coverage and presenting visual acuity (PVA) and best corrected visual acuity (BCVA) after surgery were investigated in different age groups of the examined population.The study adhered to the Declaration of Helsinki and was approved by the Ethics Committee of the People's Hospital of Ningxia Hui Autonomous Region (No.[2023]-LL-010).Participants signed informed consent prior to the examination.Results:A total of 6 145 people should be examined, and 5 721 people were actually examined, with an examination rate of 93.10%.The study population consisted of 2 558 males, accounting for 44.71%, and 3 163 females, accounting for 55.28%, with ages ranging from 18 to 93 years old and an average age of (64.27±13.48) years.Among them, 1 180 patients diagnosed with cataract, with a cataract prevalence of 20.62%.The prevalence of cataract increased with age and decreased with education level, showing statistically significant differences ( χ2=1 091.32, 581.92; both at P<0.01).The prevalence of cataract was significantly higher among people with hypertension, diabetes mellitus, hyperlipidemia, and coronary heart disease than those without these diseases ( χ2=274.65, 118.15, 78.05, 182.71; all at P<0.01).Cataract surgery was performed in 245 cases in the cataract patient population, with a surgical coverage rate of 20.76%.Of the 245 cases, 229 cases were implanted with IOLs, with an implantation rate of 93.40%.The social burden rate of cataract blindness was 2.29%, and increased with age.Of the 339 eyes that underwent cataract surgery, 241 had a PVA≥0.3, accounting for 71.09%, and 272 had a BCVA≥0.3, accounting for 80.24%. Conclusions:In Ningxia, cataracts are still the main cause of vision impairment and blindness in the elderly, and the social burden rate of cataract blindness is high.Moreover, the coverage rate of cataract surgery is low, so both the coverage and quality of surgery need improvement.

Objective:To understand the impact of diet on glycemic control in community-managed patients with type 2 diabetes mellitus (T2DM) and provide evidence for implementing prevention strategies and measures for diabetes patients.Methods:Eight communities were randomly selected from Changshu and Wuhan in 2015, and T2DM patients managed in the community were selected to conduct questionnaire surveys, physical measurements, and blood glucose testing. Factor analysis was used to obtain dietary patterns. A binary logistic regression model was used to analyze the factors affecting glycemic control.Results:Finally, 1 818 T2DM patients were included, and the control rate of FPG was 57.59% (95% CI: 55.30%-59.86%), and the control rate of 2 h postprandial blood glucose (2 h PBG) was 24.90% (95% CI: 22.93%- 26.91%). Five dietary patterns were obtained by factor analysis: animal food pattern, fruit-aquatic products-potato patterns, vegetable-grain pattern, egg-milk-bean pattern, and oil-salt patterns. No-conditional multivariate logistic regression analysis showed that after adjusting for confounding factors, the reduced probability of FPG control was related to animal food pattern ( OR=0.71, 95% CI: 0.52-0.98) and fruit-aquatic products-potato patterns ( OR=0.71, 95% CI: 0.51-0.97). The decrease in the 2 h PBG control probability was related to fruit-aquatic products-potato patterns ( OR=0.60, 95% CI: 0.40-0.90). The increased probability of FPG and 2 h postprandial glucose control were both related to vegetable-grain pattern ( OR=1.41, 95% CI: 1.03-1.94; OR=1.68, 95% CI: 1.13-2.51) and egg-milk-bean pattern ( OR=1.75, 95% CI: 1.25-2.46; OR=1.56, 95% CI: 1.00-2.42). Compared with the Q4 group of egg-milk-bean pattern, the FPG control rate of the combination of "fruit-aquatic products-potato pattern ( Q4 group), vegetable-grain pattern ( Q2 group), egg-milk-bean pattern ( Q3 group)" was higher ( OR=6.79, 95% CI: 1.15-40.23, P=0.035). Compared with the Q4 group of vegetable-grain pattern, the combination of "fruit-aquatic products-potato pattern ( Q4 group), vegetable-grain pattern ( Q3 group), egg-milk-bean pattern ( Q2 group), oil-salt pattern ( Q2 group)" had higher control rate of 2 h PBG ( OR=12.78, 95% CI: 1.26-130.05, P=0.031). Conclusions:A proper combination of dietary patterns and dietary patterns are more conducive to the control of FPG and 2 h PBG in T2DM patients managed in the communities of Wuhan and Changshu. Patient nutrition education should be strengthened, and the food-matching ability of patients should be improved.

Objective To study the changes in related parameters after secondary preparation of blood components,in order to further improve the quality of blood components.Methods Different centrifugation conditions were selected for the preparation of primary blood component red blood cells in additive solution leukocytes reduced,and the quality was tested.Then,using the red blood cells in additive solution leukocytes reduced as the initial blood for secondary preparation,and the red blood cells were washed through the Haemonetics ACP 215 device,and the quality was tested.The preparation pa-rameters of blood components were observed,compared and optimized.Results Under comparable centrifugation effects of different centrifugation conditions,the quality control items,which of primary blood components of red blood cells in additive solution leukocytes reduced and frozen plasma prepared by the separation,such as volume,hemoglobin,hematocrit and re-sidual white blood cells met the relevant national standards.And the quality control items of secondary blood components of washed red blood cells such as the hemoglobin and superalbumin content both met the relevant national standards,while vol-ume exceeded the standard by 7-14 mL,which can be operated to the standard range.In addition,the recovery rate of red blood cells and the clearance rate of plasma protein could reach 75%and 99%respectively.Conclusion There is a certain correlation between primary and secondary preparation of blood components,but the relevant parameters of secondary prepa-ration of blood components can be flexibly adjusted according to the actual situation to ensure that the quality of prepared blood component products meet the national standards,thus ensuring clinical treatment effect and safety.

Objective:To investigate the clinical characteristic and genetic variants of children with carnitine palmitoyltransferase 2(CPT2)deficiency.Methods:The clinical and genetic data of 6 children with CPT2 deficiency were retrospectively analyzed.The blood acylcarnitines and genetic variants were detected with tandem mass spectrometry and whole-exon gene sequencing,respectively.Results:There were 4 males and 2 females with a mean age of 32 months(15 d-9 years)at diagnosis.One case was asymptomatic and with normal laboratory test results,2 had delayed onset,and 3 were of infantile type.Three cases were diagnosed at neonatal screening,and 3 cases presented with clinical manifestations of fever,muscle weakness,and increased muscle enzymes.Five children presented with decreased free carnitine and elevated levels of palmitoyl and octadecenoyl carnitines.CPT2 gene variants were detected at 8 loci in 6 children(4 harboring biallelic mutations and 2 harboring single locus mutations),including 3 known variants(p.R631C,p.T589M,and p.D255G)and 5 newly reported variants(p.F352L,p.R498L,p.F434S,p.A515P,and c.153-2A>G).It was predicted by PolyPhen2 and SIFT software that c.153-2A>G and p.F352L were suspected pathogenic variants,while p.R498L,p.F434S and p.A515P were variants of unknown clinical significance.Conclusions:The clinical phenotypes of CPT2 deficiency are diverse.An early diagnosis can be facilitated by neonatal blood tandem mass spectrometry screening and genetic testing,and most patients have good prognosis after a timely diagnosis and treatment.