Objective: To explore the current status and influencing factors of eating behaviors in adolescents, so as to provide a theoretical foundation for health promotion education among adolescents. Methods: Based on the database from Survey of Chinese Family Health Index (2021), by a random number table method, 1 065 teenagers were selected from the provincial capitals of 22 provinces and 5 autonomous regions in China, as well as 4 municipalities directly under the central government. A general characteristic questionnaire, Patient Health Questionnaire-9 (PHQ-9), Short Form of the Family Health Scale (FHS-SF), 10-item Short Version of the Big Five Personality(BFP-10), Content-based Media Exposure Scale (CM-E) and Sakata Eating Behavior Scale Short Form(EBS-SF) were used to collect information. Multivariate stepwise linear regression analysis was employed to identify and analyze related factors of eating behaviors among adolescents. Receiver operating characteristic was used to validate the predictive ability of the EBS-SF score for overweight and obesity among adolescents. Results: The average scores of BFI-10,C-ME, FHS-SF, PHQ-9 and EBS-SF were (33.08±4.64)(19.20±4.55)(38.48±6.65)(6.09±5.63)(16.75±4.36), respectively. Multivariate linear regression showed that family type (other types), agreeableness, conscientiousness, family health and depression were the main related factors of EBS-SF scores among adolescents( B =2.61,-0.42,0.20,-0.11,0.23, P <0.05).The analysis of receiver operating characteristic curve showed that the EBS-SF scores had a good ability in predicting obesity among male adolescents ( AUC= 0.73, P <0.01). Conclusions Family type, big five personality, family health,depression are the related factors of eating behaviors among adolescents. EBS-SF scores are predictive of obesity in adolescents, which would provide a new perspective for promoting healthy eating habits among adolescents.

Alzheimer's disease (AD) is regarded as a neurodegenerative disease, and it has been proposed that AD may be a systemic disease. Studies have reported associations between non-neurological diseases and AD. The correlations between AD pathology and systemic (non-neurological) pathological changes are intricate, and the mechanisms underlying these correlations and their causality are unclear. In this article, we review the association between AD and disorders of other systems. In addition, we summarize the possible mechanisms associated with AD and disorders of other systems, mainly from the perspective of AD pathology. Regarding the relationship between AD and systemic pathological changes, we aim to provide a new outlook on the early warning signs and treatment of AD, such as establishing a diagnostic and screening system based on more accessible peripheral samples.
Alzheimer Disease/therapy* ; Humans ; Brain/pathology*

Objective: To explore the longitudinal changes and related predictive factors of anxiety and intolerance of uncertainty (IU) among Chinese college students, so as to provide theoretical reference for promoting students mental health. Methods: Intolerance of Uncertainty Scale-short Form and the 7 item Generalized Anxiety Disorder Scale were administered among 5 683 students from 22 universities in Guangdong Province from September 10 to October 17, 2021 (T1, baseline survey), and from March 15 to April 22, 2023 (T2). Using paired sample t-test to analyze the changes in anxiety and IU among college students, a linear regression model was established to explore factors that can predict anxiety, IU and their changes during T1 and T2 periods. Results: During the T1 period, the average scores of anxiety and IU among college students were (3.26±3.46, 34.88±7.96), while during the T2 period, they were (4.41±4.16, 36.40±8.07). During the T2 period, the levels of anxiety and IU among college students were higher than those during the T1 period ( t=19.59, 13.67, P <0.01). The linear regression results showed that age ( B = -0.02 ), moderate ( B =-0.18) and poor ( B =-0.88) mental health status, as well as online browsing of Corona Virus Disease 2019 (COVID-19) epidemic (later called as epidemic) related information for >1-<3 hours ( B =-0.30) and ≥3 hours ( B =-0.22), all of which could negatively predict changes in anxiety during T1 to T2 periods. Living in rural areas ( B =0.11) could positively predict changes in anxiety during T1 to T2 periods ( P <0.05). Moderate ( B =-0.19) and poor ( B =-0.47) mental health status, browsing epidemic related information online for >1-<3 hours ( B =-0.32) and ≥3 hours ( B =-0.33), academic performance being moderately affected by the epidemic ( B =-0.10), and personal planning being moderately affected by the epidemic ( B =-0.13) and severely affected ( B =-0.22), all of which could negatively predict changes in IU during T1 to T2 periods ( P <0.05). Conclusions Levels of anxiety and intolerance of uncertainty increases significantly after epidemic. Mental health status of college students should need long term monitoring, and students with poor mental health should need special attention.

To investigate the clinical significance of platelet-neutrophil ratio in patients with anti-neutrophil cytoplasmic antibody-associated vasculitis(AAV),a total of 128 patients were recruited and retrospectively analyzed in our department from March 2015 to July 2023.Spearman correlation analysis indicated that there was negative correlation between the level of PNR and Birmingham vasculitis activity score(BVAS)in AAV patients(r=-0.268,P=0.002).According to the PNR optimal cutoff value(26.4)determinated by X-tile bioinformatics software version 3.6.1 for predicting the survival rate,AAV patients were divided into high level PNR(HPNR)group(≥26.4)(n=105)and low level PNR(LPNR)group(<26.4)(n=23).Kaplan-Meier survival analysis showed that the survival rate of HPNR group was significantly higher than that of LPNR group(P<0.001).The level of PNR was correlated with poor prognosis of kidney(OR=2.54,95%CI:1.1-5.88,P=0.029).In conclusion,the level of PNR is closely related to disease activity and prognosis of AAV,and it might be a potential biomarker for predicting the disease activity and predicting the prognosis.

Objective To investigate the clinical value of peripheral eosinophil count(PEC)in predicting the outcome of diabetic nephropathy(DN).Methods A retrospective cohort trial was conducted on 220 DN patients identified by renal biopsy in Department of Nephrology of Second Affiliated Hospital from Army Medical University from March 2021 to March 2023.Clinical data,results of routine blood test and renal function were collected.X-tile bioinformatics software version 3.6.1 was used to determine the optimal cut-off value of PEC for predicting survival.Cox proportional hazards model and Kaplan-Meier survival analysis were applied to analyze the prognosis.Results The level of PEC in DN patients was positively correlated with the levels of serum creatinine(Scr)(r=0.245),blood urea nitrogen(BUN)(r=0.237)and blood uric acid(UA)(r=0.252),and negatively with estimated glomerular filtration rate(eGFR)(r=-0.236).According to the optimal PEC cut-off value,DN patients were divided into high-level group(＞0.29×109/L,n=41)and low-level group(≤0.29 × 109/L,n=179).The levels of Scr(P＜0.001),BUN(P=0.001)and UA(P=0.005)were significantly higher,while the eGFR(P＜0.001)was obviously lower in the high-level group than the low-level group.Multivariate Cox regression analysis showed that the high level of PEC was associated with poor prognosis of DN(HR=2.20,95％CI:1.05～4.60,P=0.036).Kaplan-Meier survival analysis demonstrated that the incidence of end-stage renal disease(ESRD)was notably higher in the high-level group than the low-level group(P=0.024).Conclusion PEC level of DN patients is closely associated with the progression and prognosis of DN,and the count is a potential biomarker for predicting the prognosis of DN.

Objective:To evaluate the prognostic value of pretreatment systemic immune-inflammation index (SII) and lactate dehydrogenase (LDH) in non-metastatic nasopharyngeal carcinoma (NPC).Methods:We retrospectively collected the data of 839 patients with non-metastatic NPC from National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Sun Yat-sen University Cancer Center between January 2007 and October 2015. All patients received intensity modulated radiation based treatment. Optimal cutoff value of SII and LDH were determined by X-title software. The association between SII, LDH and clinical prognosis of non-metastatic NPC patients were analyzed. Kaplan-Meier method was used for survival analysis, and Log rank test was used for comparison of survival rates between groups. Propensity score matching (PSM) analysis was carried out to minimize the effects of confounding factors. The risk stratification model of prognosis by combining N stage, SII and LDH was constructed to compare the prognosis of patients in high risk group, middle risk group and low risk group, and the receiver operating characteristic (ROC) curve analysis was used to evaluate its prognostic value.Results:The optimal cutoff value of SII is 447.2×10 9/L for predicting the 5-year overall survival (OS) of NPC patients, and the best cutoff value of LDH is 198.9 U/L. The proportion of patients with stage T3-4 and stage III-IVB in high SII group was higher than that in low SII group ( P<0.001). Multivariate Cox regression analysis showed that N stage, SII and LDH were independent factors of OS, progression-free survival (PFS) and distant metastasis-free survival (DMFS) of NPC patients (N stage, HR=1.705, 95% CI: 1.247-2.332; HR=1.755, 95% CI: 1.342-2.295; HR=2.161, 95% CI: 1.515-3.082. SII, HR=1.525, 95% CI: 1.097-2.119; HR=1.518, 95% CI: 1.150-2.004; HR=1.837, 95% CI: 1.272-2.653. LDH, HR=2.041, 95% CI: 1.403-2.968; HR=1.725, 95% CI: 1.233-2.414; HR=2.492, 95% CI: 1.690-3.672, respectively). After PSM, SII was still an independent prognostic factor of OS, PFS and DMFS in NPC patients ( HR=1.52, 95% CI: 1.09-2.12; HR=1.52, 95% CI: 1.15-2.00; HR=1.82, 95% CI: 1.26-2.63, respectively). Combined with N 2-3 stage, SII (>447.2×10 9/L), and LDH (>198.9 U/L), patients were divided into high-(3 risk factors), intermediate- (2 risk factors) and low-risk (0-1 risk factors) groups. The 5-year OS rates of patients in low-, intermediate- and high-risk groups were 86.1%, 79.8% and 41.2% respectively, the 5-year PFS rates were 80.7%, 70.2% and 33.9% respectively, and the 5-year DMFS rates were 88.9%, 79.2% and 47.5% respectively. There were significant differences in OS, PFS and DMFS among these three groups ( P<0.001). Distant metastasis was the main failure pattern in low-, intermediate- and high-risk groups, and the highest rate of distant metastasis was 83.3% (15/31) in high-risk group. ROC curve of the risk stratification model for predicting 5-year OS of NPC patients is 0.610, which is higher than TNM stage (0.609), SII (0.574) and LDH (0.558). Conclusions:Pretreatment SII and LDH are significantly correlated with the prognosis of patients with non-metastatic NPC. The combination of SII, LDH and N stage can stratify the prognostic risk of NPC patients. The risk stratification model can enhance the accuracy of prognosis.

Objective:To evaluate the prognostic value of pretreatment systemic immune-inflammation index (SII) and lactate dehydrogenase (LDH) in non-metastatic nasopharyngeal carcinoma (NPC).Methods:We retrospectively collected the data of 839 patients with non-metastatic NPC from National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Sun Yat-sen University Cancer Center between January 2007 and October 2015. All patients received intensity modulated radiation based treatment. Optimal cutoff value of SII and LDH were determined by X-title software. The association between SII, LDH and clinical prognosis of non-metastatic NPC patients were analyzed. Kaplan-Meier method was used for survival analysis, and Log rank test was used for comparison of survival rates between groups. Propensity score matching (PSM) analysis was carried out to minimize the effects of confounding factors. The risk stratification model of prognosis by combining N stage, SII and LDH was constructed to compare the prognosis of patients in high risk group, middle risk group and low risk group, and the receiver operating characteristic (ROC) curve analysis was used to evaluate its prognostic value.Results:The optimal cutoff value of SII is 447.2×10 9/L for predicting the 5-year overall survival (OS) of NPC patients, and the best cutoff value of LDH is 198.9 U/L. The proportion of patients with stage T3-4 and stage III-IVB in high SII group was higher than that in low SII group ( P<0.001). Multivariate Cox regression analysis showed that N stage, SII and LDH were independent factors of OS, progression-free survival (PFS) and distant metastasis-free survival (DMFS) of NPC patients (N stage, HR=1.705, 95% CI: 1.247-2.332; HR=1.755, 95% CI: 1.342-2.295; HR=2.161, 95% CI: 1.515-3.082. SII, HR=1.525, 95% CI: 1.097-2.119; HR=1.518, 95% CI: 1.150-2.004; HR=1.837, 95% CI: 1.272-2.653. LDH, HR=2.041, 95% CI: 1.403-2.968; HR=1.725, 95% CI: 1.233-2.414; HR=2.492, 95% CI: 1.690-3.672, respectively). After PSM, SII was still an independent prognostic factor of OS, PFS and DMFS in NPC patients ( HR=1.52, 95% CI: 1.09-2.12; HR=1.52, 95% CI: 1.15-2.00; HR=1.82, 95% CI: 1.26-2.63, respectively). Combined with N 2-3 stage, SII (>447.2×10 9/L), and LDH (>198.9 U/L), patients were divided into high-(3 risk factors), intermediate- (2 risk factors) and low-risk (0-1 risk factors) groups. The 5-year OS rates of patients in low-, intermediate- and high-risk groups were 86.1%, 79.8% and 41.2% respectively, the 5-year PFS rates were 80.7%, 70.2% and 33.9% respectively, and the 5-year DMFS rates were 88.9%, 79.2% and 47.5% respectively. There were significant differences in OS, PFS and DMFS among these three groups ( P<0.001). Distant metastasis was the main failure pattern in low-, intermediate- and high-risk groups, and the highest rate of distant metastasis was 83.3% (15/31) in high-risk group. ROC curve of the risk stratification model for predicting 5-year OS of NPC patients is 0.610, which is higher than TNM stage (0.609), SII (0.574) and LDH (0.558). Conclusions:Pretreatment SII and LDH are significantly correlated with the prognosis of patients with non-metastatic NPC. The combination of SII, LDH and N stage can stratify the prognostic risk of NPC patients. The risk stratification model can enhance the accuracy of prognosis.

Objective:To study the dynamic changes of cytokines in bronchoalveolar lavage fluid (BALF) and serum of hard metal lung disease (HMLDR) rats.Methods:In March 2019, the rats were randomly divided into 6 groups, each group included 8 rats: control (C) group include 3 groups, hard metal (HM) group include 3 groups. 10 mg HM were administered in HM group by using the pulmonary endotracheal tube. After 4, 8 and 12 week, the BALF and serum were collected for the enzyme-linked immunosorbent assay (ELISA) of matrix metalloproteinase-1 (MMP-1) , tissue inhibitor of metalloproteinase-1 (TIMP-1) and tumor necrosis factor-alpha (TNF-α) .Results:There was no abnormality in behavior, diet and fur of rats in C and HM group at each exposure time. There was no significant difference in body weight between the two groups of rats ( P>0.05) . Compared with the C group, the expression of MMP-1 in BALF of rats in HM group were significantly higher in all stages (4, 8 and 12 weeks after exposure) ( P<0.05) , the expression of TIMP-1 in BALF of rats in HM group were significantly higher in 8 and 12 weeks after exposure ( P<0.05) . However, there was no significant difference in serum MMP-1 and TIMP-1 levels between the two groups in each stage ( P>0.05) . There was no significant difference in TNF-α. level in BALF and serum between C and HM group in all stages ( P>0.05) . Conclusion:Expression of MMP-1 and TIMP-1 in BALF have reference value in the HMLD auxiliary diagnosis.

Objective:To study the dynamic changes of cytokines in bronchoalveolar lavage fluid (BALF) and serum of hard metal lung disease (HMLDR) rats.Methods:In March 2019, the rats were randomly divided into 6 groups, each group included 8 rats: control (C) group include 3 groups, hard metal (HM) group include 3 groups. 10 mg HM were administered in HM group by using the pulmonary endotracheal tube. After 4, 8 and 12 week, the BALF and serum were collected for the enzyme-linked immunosorbent assay (ELISA) of matrix metalloproteinase-1 (MMP-1) , tissue inhibitor of metalloproteinase-1 (TIMP-1) and tumor necrosis factor-alpha (TNF-α) .Results:There was no abnormality in behavior, diet and fur of rats in C and HM group at each exposure time. There was no significant difference in body weight between the two groups of rats ( P>0.05) . Compared with the C group, the expression of MMP-1 in BALF of rats in HM group were significantly higher in all stages (4, 8 and 12 weeks after exposure) ( P<0.05) , the expression of TIMP-1 in BALF of rats in HM group were significantly higher in 8 and 12 weeks after exposure ( P<0.05) . However, there was no significant difference in serum MMP-1 and TIMP-1 levels between the two groups in each stage ( P>0.05) . There was no significant difference in TNF-α. level in BALF and serum between C and HM group in all stages ( P>0.05) . Conclusion:Expression of MMP-1 and TIMP-1 in BALF have reference value in the HMLD auxiliary diagnosis.

Objective:To study the application and effect of hybrid teaching based on the rain classroom in the teaching of periodontology for undergraduates.Methods:Sixty-four stomatological undergraduates in Phase 101 were selected as experimental group, and 62 in Phase 100 as control group. The hybrid teaching based on the rain classroom were conducted in experimental group, and mind mapping were used before and after class to help students understand and expand the content of class. The traditional teaching was adopted in the control group. SPSS 17.0 was applied to compare the differences between the written test scores and teaching satisfaction evaluation of the two groups. The learning behavior data of the students in experimental group before, during and after class were collected and analyzed.Results:The score of the written test in the experimental group were significantly better than that in the control group ( t=2.97, P<0.05). The result of questionnaire showed that the experimental group was significantly more satisfied with the improvement of lecture efficiency ( t=2.71, P<0.05) and self-learning ability ( t=4.35, P<0.05). The majority (82.55%) of students in the experimental group are in favor of the rain classroom; 89.06% of students finished the preview before class, and 67.19% of them completed the review after class. Conclusion:The hybrid teaching based on the rain classroom can be applied to the teaching of periodontology, which can effectively improve the learning quality and initiative of the students.