Objective To explore the effect of exposure to noise of 3.0T magnetic resonance imaging(MRI)on children's cochlear function.Methods We prospectively recruited 72 children who underwent cranial MRI examination at our hospital from May to November 2018;3M earplugs and sponge mats were used for hearing protection during MRI scanning.Noise level(dBA)of each MRI sequence was detected with a nonmagnetic microphone and a sound level meter.Distortion product otoacoustic emissions(DPOAE)test at 2-7 kHz was performed 24 hours before and 30 minutes after the MRI examination.Paired t-test or Wilcoxon signed-rank test was used to analyze differences in DPOAE amplitude before and after the MRI examination.Results The average noise level of MRI measured in the study was(107.7±3.92)dBA.Compared with that before the MRI examination,the DPOAE amplitude(dB)changed little after the MRI examination;the range of amplitude differences in each age group was as follows:left ear(-0.24-1.10)and right ear(-0.24-0.74)in the 0-1 year-old group;left ear(-0.07-0.59)and right ear(-0.57-0.75)in the 2-5 year-old group;left ear(-0.36-0.44)and right ear(-0.30-0.57)in the 6-12 year-old group.No statistically significant difference was found(correction P＞0.05).Conclusion No potential impact of 3.0T MRI noise on children's cochlear function was observed under routine hearing protection.

Objective To explore the association between visceral adiposity index(VAI)and nonalcoholic fatty liver disease(NAFLD)in lean population and the predictive value of VAI.Methods A total of 2 576 healthy subjects,body mass index(BMI)＜24 kg/m2,from The Second Affiliated Hospital of Xi'an Jiaotong University from June 2020 to May 2021 were randomly included and divided into lean NAFLD(n=213)and healthy control group(n=2 363).According to the VAI quartiles,they were divided into Q1-Q4 groups from low to high.The differences in biochemical parameters and the prevalence of NAFLD were compared among groups.The correlation between VAI and lean NAFLD was analyzed with restricted cubic spline(RCS),and the predictive value of VAI was explored by Logistic regression and receiver operating characteristic(ROC)curve.Results A total of 2 576 participants were included,and the prevalence of lean NAFLD was 8.3％(213 cases).The mean age,male ratio,BMI and waist circumference(WC)from group Q1 to group Q4 were significantly increased in a dose-response relationship(all P＜0.001).Compared with those in group Q1,systolic blood pressure,diastolic blood pressure,white blood cell count,hemoglobin concentration,alanine aminotransferase,aspartate aminotransferase,γ-glutamyl transpeptidase,alkaline phosphatase,total cholesterol,triglyceride,low-density lipoprotein cholesterol,blood uric acid,and fasting blood glucose levels in groups Q2 to Q4 were significantly increased,while direct bilirubin and high-density lipoprotein cholesterol levels were gradually decreased(both P＜0.001).The prevalence rate of NAFLD in groups Q1-Q4 was 0.6％,3.3％,7.0％and 22.2％,respectively(P＜0.001).RCS showed that the risk of NAFLD in lean population rose significantly with the increase of VAI(P＜0.001),and there was a nonlinear relationship between them(P for nonlinear＜0.001).Logistic regression showed that after adjusting other confounding factors,the risk of lean NAFLD in groups Q2,Q3 and Q4 was still 2.926 times(95％CI:0.971-8.811),3.435 times(95％CI:1.154-10.230),and 5.920 times(95％CI:1.873-18.719)that Q1 group.ROC curve showed that VAI had a good predictive value for lean NAFLD,with area under the curve of 0.815,critical value of 1.532,diagnostic sensitivity of 77.9％and specificity of 72.8％,which were better than BMI and WC.Conclusion VAI is significantly associated with the risk of NAFLD in lean population,and thus has a good predictive value.It can be used for early screening and diagnosis of lean NAFLD.

Objective To investigate the association of triglyceride-glucose index(TyG)with non-alcoholic fatty liver disease(NAFLD)and its diagnostic value for NAFLD in non-obese individuals.Methods We retrospectively collected the data of non-obese individuals(BMI<25 kg/m2)undergoing routine health examination at Second Affiliated Hospital of Xi'an Jiaotong University between May,2020 and December,2023,who all received abdominal ultrasound examination for NAFLD screening.The nonlinear relationship between TyG and non-obese NAFLD was explored using restricted cubic splines(RCS),and LASSO regression was used for variable screening;the correlation between TyG and NAFLD risk was analyzed using multivariate logistic regression.The diagnostic value of TyG for non-obese NAFLD was assessed using receiver-operating characteristic(ROC)curves and sensitivity analysis.Results A total of 3723 non-obese subjects were enrolled in this study,including 432(11.6%)patients with NAFLD.Compared with the healthy individuals,the patients with NAFLD had significant elevations of systolic and diastolic blood pressures,total cholesterol,triglycerides,LDL-C,blood uric acid,fasting blood glucose,and TyG index and a decreased HDL-C level(P<0.05).Multivariate logistic regression revealed that for each one-unit increase of TyG,the risk of non-obese NAFLD increased by 2.2 folds(OR=3.22,95%CI:2.53-4.12,P<0.001).Compared with a TyG index in the lowest quartile Q1,a TyG index in the Q2,Q3 and Q4 quartiles was associated with an increased risk of NAFLD by 1.52 folds(OR=2.52,95%CI:1.20-5.95),3.56 folds(OR=4.56,95%CI:2.28-10.46),and 8.66-folds(OR=9.66,95%CI:4.83-22.18),respectively.The RCS curve demonstrated a significant linear correlation between TyG index and non-obese NALFD risk(P for nonlinear=0.019).For diagnosing non-obese NALFD,TyG index had an area under ROC curve of 0.819 with a sensitivity of 78.0%and a specificity of 71.2%.Conclusion An increase of TyG index is correlated with increased risks of NAFLD in non-obese individuals and can serve as an indicator for screening early NAFLD in healthy individuals.

Objective To investigate the association of triglyceride-glucose index(TyG)with non-alcoholic fatty liver disease(NAFLD)and its diagnostic value for NAFLD in non-obese individuals.Methods We retrospectively collected the data of non-obese individuals(BMI<25 kg/m2)undergoing routine health examination at Second Affiliated Hospital of Xi'an Jiaotong University between May,2020 and December,2023,who all received abdominal ultrasound examination for NAFLD screening.The nonlinear relationship between TyG and non-obese NAFLD was explored using restricted cubic splines(RCS),and LASSO regression was used for variable screening;the correlation between TyG and NAFLD risk was analyzed using multivariate logistic regression.The diagnostic value of TyG for non-obese NAFLD was assessed using receiver-operating characteristic(ROC)curves and sensitivity analysis.Results A total of 3723 non-obese subjects were enrolled in this study,including 432(11.6%)patients with NAFLD.Compared with the healthy individuals,the patients with NAFLD had significant elevations of systolic and diastolic blood pressures,total cholesterol,triglycerides,LDL-C,blood uric acid,fasting blood glucose,and TyG index and a decreased HDL-C level(P<0.05).Multivariate logistic regression revealed that for each one-unit increase of TyG,the risk of non-obese NAFLD increased by 2.2 folds(OR=3.22,95%CI:2.53-4.12,P<0.001).Compared with a TyG index in the lowest quartile Q1,a TyG index in the Q2,Q3 and Q4 quartiles was associated with an increased risk of NAFLD by 1.52 folds(OR=2.52,95%CI:1.20-5.95),3.56 folds(OR=4.56,95%CI:2.28-10.46),and 8.66-folds(OR=9.66,95%CI:4.83-22.18),respectively.The RCS curve demonstrated a significant linear correlation between TyG index and non-obese NALFD risk(P for nonlinear=0.019).For diagnosing non-obese NALFD,TyG index had an area under ROC curve of 0.819 with a sensitivity of 78.0%and a specificity of 71.2%.Conclusion An increase of TyG index is correlated with increased risks of NAFLD in non-obese individuals and can serve as an indicator for screening early NAFLD in healthy individuals.

【Objective】 To estimate the prevalence, associated factors and patterns of multimorbidity of non-communicable diseases among adults in Shaanxi Province so as to provide evidence for the prevention and control of non-communicable diseases. 【Methods】 We used the data of adults aged 18 years and older collected in the baseline survey of Shaanxi Project in the Regional Ethnic Cohort Study in Northwest China. Multinomial logistic regression was used to explore the associated factors for multimorbidity. Exploratory factor analysis was used to extract patterns of multimorbidity. 【Results】 The prevalence of multimorbidity was 10.7% among the 44 442 participants. Age increase, being males, urban residence, and being overweight or obesity were positively associated with multimorbidity. Compared with women, men had a higher risk of multimorbidity. The OR and 95% CI was 1.25 (1.12-1.39). The risk of multimorbidity increased with age among adults. Compared with participants aged 18.0-34.9 years, the ORs and 95% CIs of those aged 35.0-44.9, 45.0-54.9, 55.0-64.9, and ≥65.0 years were 4.73 (3.47-6.46), 15.61 (11.60-21.00), 41.39 (30.76-55.70) and 90.04 (66.58-121.77), respectively. The primary multimorbidity patterns among adults in Shaanxi were cardiovascular-metabolic multimorbidity (5.4%), viscero-articular multimorbidity (1.0%), and respiratory multimorbidity (0.3%). 【Conclusion】 More than one in ten adults in Shaanxi Province had multimorbidity, and the predominant pattern of multimorbidity was cardiovascular-metabolic multimorbidity. The prevention and control of non-communicable diseases should be reinforced in middle-aged and older people, males, people living in the urban, and overweight or obese people. More attention should be paid to the prevention and control of cardiovascular-metabolic diseases.

【Objective】 To evaluate the dietary quality with the dietary balance index (DBI_16) and the association between dietary quality and bone mass among middle-aged and elderly people in Gansu Province so as to provide evidence for improving dietary quality and bone health status of Gansu population. 【Methods】 Based on the information of the type and quantity of food intake and the bone mass of middle-aged and elderly people aged 35 years and above collected by the Gansu Project in the Regional Ethnic Cohort Study in Northwest China, DBI_16 was used to evaluate the intake level of cereals, vegetables, fruits, milk, beans, fish and shrimp, eggs and other foods, and the degree of inadequate, excessive and unbalanced dietary intake of the participants. Multiple linear regression was used to evaluate the associations of three component indexes of DBI_16, high bound score (DBI_HBS), low bound score (DBI_LBS), diet quality distance (DBI_DQD), and seven single indexes of DBI_16 with bone mass. 【Results】 Analyses of the dietary and bone mass data of 11,840 participants showed that 44.8% of participants consumed excessive amounts of cereals compared to the dietary recommendation. 96.3%, 90.6%, 90.1%, 71.9%, 95.1% and 60.3% of participants’ intake of vegetables, fruits, milk, soybeans, fish and shrimp, and eggs, respectively, were inadequate. 47.7% participants consumed less than 10 types of food. 2.3% participants’ DBI_LBS levels were appropriate. 54.7% participants’ DBI_HBS levels were appropriate. Only 1.2% participants’ DBI_DQD reached a balanced level. The bone mass level in the study population was (2.5±0.6) kg [(2.8±0.5) kg for men and (2.3±0.5) kg for women]. After adjusting for sociodemographic characteristics, lifestyle, total dietary energy intake and body mass index, DBI_LBS and DBI_DQD were negatively associated with bone mass [β and 95% CI was -0.002 01 (-0.003 62--0.000 40) and -0.001 76 (-0.003 09--0.000 43), respectively]. 【Conclusion】 Dietary intake imbalance is common among middle-aged and elderly people in Gansu Province, and the more severe the dietary intake imbalance, the lower the bone mass level.

【Objective】 To explore the dynamic change of depression in diabetic patients so as to provide evidence for early detection and warning of psychological problems in diabetic patients. 【Methods】 Based on the data from the China Health and Retirement Longitudinal Study （CHARLS）， the propensity score matching method was used to eliminate confounding factors in the study. The linear growth model， the nonlinear quadratic growth model， and the growth model without defined curve type were fitted respectively. According to the fitting indices of the models， the optimal solution of the growth function was determined to explore the changes of depression development in the diabetic patients. 【Results】 A total of 5 711 cases （5 380 cases in the non-diabetic group and 331 cases in the diabetic group） were included in the study. After propensity score matching， 1 621 cases （1 291 cases in the non-diabetic group and 330 cases in the diabetic group） were included and all confounding factors were balanced between the two groups. By fitting three growth curve models with latent variables， the results showed that the model without defined curve type was better than the other two models. The mean depression score for initial status in the non-diabetic and diabetic groups was 9.640 and 10.097， respectively， with significant inter-individual differences. During the follow-up period， the depression status of both groups showed a trend of decrease first and then increase， but the depression score was always lower in the non-diabetic group than in the diabetic group. At the same time， there was no individual difference in the rate of change between the two groups， and there was no statistical difference between the initial depression score and the subsequent slope of change. 【Conclusion】 Exploring the change track of depression status over time in diabetic patients， understanding the individual psychological change trend and further explaining the differences between individuals are of great significance for intervention on psychological status at different stages.

【Objective】 To compare the ability of body mass index （BMI）， body fat percentage （BFP）， waist circumference （WC）， waist-to-height ratio （WHtR）， visceral fat index （VFI） and the combinations of two kinds of obesity indices to predict the risk of hypertension. 【Methods】 Data collected in the baseline survey of “Gansu Province’s Urban and Rural Natural Population Cohort Establishment and Tumor Follow-up Study” were analyzed. Area under the curve （AUC） of ROC curve with covariates was used to analyze and compare the effects of individual obesity evaluation index and the combination of two kinds of obesity indices in predicting the risk of hypertension. 【Results】 Analyses of data of 20，079 adults showed that the AUC of BMI， WC， WHtR， BFP and VFI was 0.636， 0.604， 0.615， 0.614 and 0.619， respectively. AUC of the combination of BMI and WC （0.643） was higher than that of BMI （0.636）； however， the change rate of AUC was only 1.09%. AUC of the combinations of WC， WHtR and VFI， the three central obesity evaluation indices， and BFP， a general obesity evaluation index， were lower than that of BMI. The optimal cutoff value for BMI was 24.2 kg/m². 【Conclusion】 The effect of BMI in predicting the risk of hypertension is better than that of BFP， WC， WHtR and VFI. The effects of the combinations of the two kinds of obesity evaluation indices are not better than that of BMI. To prevent and control hypertension， adults should keep their BMI under overweight.

ObjectiveObjective To systematically evaluate the efficacy and safety of antiviral therapy in patients with chronic hepatitis B (CHB) in the immune-tolerant phase. MethodsPubMed, Embase, Cochrane Library, CNKI, and Wanfang Data were searched for clinical trials of antiviral therapy for CHB patients in the immune-tolerant phase published up to September 2020. Related data were extracted after quality assessment for systematic review. HBV DNA clearance rate was the primary outcome. ResultsA total of 9 studies involving 821 patients were included. Eight studies reported HBV DNA clearance rate in the treatment group, among which 6 studies had an HBV DNA clearance rate of ＞60%, which was significantly higher than that in the untreated patients (0%-29.1%), and the combination therapy group had a better clearance rate than the monotherapy group. However, virologic recurrence was more common in the long term. Eight studies reported HBeAg seroconversion, and only 2 studies of the treatment of children with interferon-α (IFN-α) reported a seroconversion rate of ＞20% in the treatment group, which was higher than that in the untreated group. HBsAg clearance was observed in 2 studies of IFN-α treatment, while HBsAg seroconversion was not observed. One study reported the risk of liver cirrhosis and hepatocellular carcinoma (HCC) and showed that antiviral therapy could reduce the risk of liver cirrhosis and HCC in patients. The incidence rate of adverse events ranged from 4.1%-13.0% in the treatment with nucleos(t)ide analogues and reached 100% in the treatment with IFN-α, and serious adverse events were rare. ConclusionThe majority of CHB patients in the immune-tolerant phase show satisfactory virologic response after antiviral therapy, but they tend to experience recurrence after drug withdrawal and have a low seroconversion rate. Antiviral therapy has good safety. Current evidence suggests that such patients can be dynamically observed if there is no clear evidence for disease progression.

【Objective】 To compare the performance of five commonly used variable selection methods in high-dimensional biomedical data variable screening so as to explore the effects of sample size and association among candidate variables on screening results and provide evidence for the development of variable selection strategy in high-dimensional biomedical data analysis. 【Methods】 Variable selection algorithms were implemented based on R-programming language. Monte Carlo method was used to simulate high-dimensional biomedical data under different conditions to evaluate and compare the performance of different variable selection methods. Variable selection performance was evaluated based on the true positive rate and true negative rate in screening. 【Results】 For specified high-dimensional data, the variable selection performance was improved for all the methods when sample size was increased, and the association between candidate variables did affect variable screening results. Simulation results indicated that the elastic network algorithm yielded the best screening performance, LASSO algorithm took the second place, and ridge algorithm did not work at all. 【Conclusion】 Elastic network algorithm is an ideal variable screening method for high-dimensional data variable screening.