Objective: To explore the associations of moderate to vigorous intensity physical activity (MVPA) and sedentary behavior (SB) among primary and secondary school students and their parents, so as to provide a scientific basis for formulating targeted physical activity promotion strategies for children and adolescents. Methods: From 2021 to 2022, basic information and 24 h movement behaviors of 2 484 pairs of students and their parents were collected from five primary and secondary schools in Haizhu District, Guangzhou City, with a convenient sampling combining with cluster sampling method. Component regression models were constructed to analyze the relationship between parental MVPA, SB and primary and secondary school students MVPA and SB, and a component isochronous substitution model was used to explore the effects of mutual substitution between parental MVPA, residual components (time use components other than SB during the 24 h period), and SB on the behavioral activities of MVPA and SB in primary and secondary school students. Results: Parental MVPA and SB of students in grade 1 to 3 were positively correlated with both students MVPA and SB ( β=0.06, 0.12, P <0.01). The component isochronous substitution model showed that substituting 10 and 20 minutes of MVPA for SB by parents in grade 1 to 3 was associated with an increase in MVPA of students, and substituting 10 and 20 minutes of residual ingredients for SB was associated with a decrease in SB of students, with mean changes of 0.8 (95% CI =0.4-1.2) and 1.4 (95% CI =0.7-2.2) and -1.4 (95% CI =-1.7 to -1.1) and -2.9 (95% CI =-3.4 to -2.3)( P <0.05). No statistically significant associations were observed between parents of students in grades 4 to 6 and 7 to 9 and students physical activity and sedentary behaviour ( P >0.05). Conclusions Parents of students in grades 1 to 3 increases MVPA and decrease SB are beneficial to increase MVPA and decrease SB of students. Parents could promote physical activity among primary and secondary school students, and the intervention gateway should be advanced, with the low grades as the optimal intervention period.

Purpose To investigate the clinicopathological features,diagnostic approaches,and differential diag-nosis of chordoid glioma(CG)and chordoid meningioma(CM)of the central nervous system(CNS).Methods Clinical data from 4 cases of CG and 10 cases of CM were collected.Immunohistochemistry was used to detect the ex-pression of GFAP,EMA,TTF-1,and other markers.Molecular genetic alerations were identified using sequencing techniques and relevant literature was reviewed.Results CG predominantly occurred in the third ventricle but could also arise outside of it.Tumors showed well-defined borders with surrounding tissues.Microscopically,tumor cells were arranged in cords or clusters within a myxoid stroma and expressed GFAP,TTF-1,and other markers.No PRKCA(D463H)mutations were detected in 3 CG cases,however,one case harbored an FLCN ∷ PRKD2 fusion.CM predom-inantly occurred in the supratentorial region but also appeared in the subtentorial area.Histologically,chordoid compo-nents were mixed with classic meningioma features.Chronic inflammatory cell infiltration was noted in the stroma.Tumor cells expressed EMA,PR and SSTR2.One case harbored NF2 mutation and homozygous CDKN2A deletion.Conclusion CG and CM of the CNS shared overlapping morphological characteristics,making histological distinction difficult.Accurate diagnosis required integration of clinical,imaging,immunohistochemical,and molecular pathologi-cal findings.

Purpose To investigate the clinicopathological features,diagnostic approaches,and differential diag-nosis of chordoid glioma(CG)and chordoid meningioma(CM)of the central nervous system(CNS).Methods Clinical data from 4 cases of CG and 10 cases of CM were collected.Immunohistochemistry was used to detect the ex-pression of GFAP,EMA,TTF-1,and other markers.Molecular genetic alerations were identified using sequencing techniques and relevant literature was reviewed.Results CG predominantly occurred in the third ventricle but could also arise outside of it.Tumors showed well-defined borders with surrounding tissues.Microscopically,tumor cells were arranged in cords or clusters within a myxoid stroma and expressed GFAP,TTF-1,and other markers.No PRKCA(D463H)mutations were detected in 3 CG cases,however,one case harbored an FLCN ∷ PRKD2 fusion.CM predom-inantly occurred in the supratentorial region but also appeared in the subtentorial area.Histologically,chordoid compo-nents were mixed with classic meningioma features.Chronic inflammatory cell infiltration was noted in the stroma.Tumor cells expressed EMA,PR and SSTR2.One case harbored NF2 mutation and homozygous CDKN2A deletion.Conclusion CG and CM of the CNS shared overlapping morphological characteristics,making histological distinction difficult.Accurate diagnosis required integration of clinical,imaging,immunohistochemical,and molecular pathologi-cal findings.

Objective: To investigate the association between 24 hour activity behavior and body composition among primary and secondary school students using compositional data analysis method, so as to provide scientific guidance for optimizing daily activity allocation and improving physical health. Methods: In June 2021, following the principle of random cluster sampling, 349 primary and middle school students were selected by lottery method from Taiyuan City, Shanxi Province. Compositional multiple regression analysis was conducted to examine the relationship between different 24 hour activity behaviors and body composition indicators. The isotemporal substitution model was adopted to examine the quantitative effects of substituting 10 or 20 minutes among activity behaviors on body composition. Results: In girls, sedentary behavior (SB) time was negatively correlated with fat free mass (FFM) ( β =-4.81); in boys, moderate to vigorous physical activity (MVPA) time was positively correlated with FFM ( β =7.01), while light physical activity (LPA) time was negatively correlated with FFM ( β =-9.26) and positively correlated with body fat percentage (FAT%) ( β =0.09) (all P <0.01). Isocaloric substitution analysis revealed that replacing the same duration of MVPA with SB, sleep (SL), or LPA for 10 or 20 minutes produced significantly greater adverse effects compared to the beneficial effects of MVPA substitution. Replacing MVPA with LPA for 10 minutes resulted in 1.01% increase in FAT% and 0.91% decrease in reverse substitution for boys; replacing MVPA with SB or SL for 10 minutes resulted in a decrease of 1.10 kg and 1.16 kg in FFM for boys, 0.81 kg and 0.74 kg for girls, and reverse substitution increased by 0.92 and 0.97 kg, 0.65 and 0.58 kg, respectively (all P < 0.05 ). When LPA, SB or SL were replaced with MVPA for 20 minutes, the trend of change were basically consistent (all P <0.05). Conclusions Activity behaviors of 24 hour are associated with body composition among primary and secondary school students. MVPA is the primary influential component.

Objective To analyze the trends in disease burden and risk factors of depression among the elderly population in China from 1990 to 2021,and to provide a theoretical basis for the prevention,treatment,and policy-making of geriatric depression in China.Methods Data on the disease burden of geriatric depres-sion in China from 1990 to 2021,including the number of incident cases,disability-adjusted life years(DALYs),incidence rate,and DALY rate,were extracted from the 2021 Global Burden of Disease(GBD)database.The Joinpoint regression model was used to analyze the trends by calculating the annual percentage change(APC)and average annual percentage change(AAPC).The autoregressive integrated moving average(ARIMA)model was employed to predict the disease burden of geriatric depression over the next five years.Population attributable fractions(PAFs)were used to describe the risk factors for geriatric depression in China in 1990 and 2021.Results From 1990 to 2021,the number of incident cases and the incidence rate of geri-atric depression in China showed an overall upward trend.The most significant increase in incidence was ob-served in the 60-64 age group,while the prevalence rate increased notably in the ≥ 95 age group.The DALY rate showed the most pronounced upward trend in the 65-69 age group.The incidence,prevalence,and DALY rates of geriatric depression were higher in women than in men.Major risk factors included child-hood sexual abuse and intimate partner violence,with the impact of intimate partner violence being particular-ly significant among women.The ARIMA model predicted that the incidence,prevalence,and DALY rates of geriatric depression in China would decline over the next five years,with a greater decline observed in women than in men.Conclusions From 1990 to 2021,the incidence,prevalence,and DALY rates of geriatric de-pression in China showed an overall upward trend,with higher rates observed in women than in men.Greater attention should be paid to the elderly female population,with a focus on early prevention to reduce the dis-ease burden of geriatric depression.

Objective:To analyze the clinicopathological characteristics and prognostic factors of patients with Castleman disease (CD).Methods:A retrospective case-series study was conducted. A total of 85 patients newly diagnosed with CD in the First Affiliated Hospital of Air Force Medical University between July 2007 and August 2024 were collected. Their clinical characteristics and prognostic factors were analyzed.Results:Among the 85 patients, 45 had unicentric Castleman disease (UCD) and 40 had multicentric Castleman disease (MCD). In the UCD group, females were more commonly affected (64.4%, 29/45), with a median age of onset of 39 years. The primary lesions were mainly located in the retroperitoneum, neck, abdomen, and axilla; and the hyaline vascular subtype was the predominant pathological type (69.4%, 25/36). In the MCD group, males were more frequently affected (62.5%, 25/40), with a median age of onset of 50 years; and the plasmacytic subtype was the main pathological type (68.2%, 15/22). Compared with UCD patients, MCD patients presented more systemic symptoms and signs [85.0% (34/40) vs. 13.3% (6/45), χ2 = 43.66, P < 0.001], splenomegaly [42.5% (17/40) vs. 2.2% (1/45), χ2 = 20.58, P < 0.001], hepatomegaly [25.0% (10/40) vs. 0 (0/45), χ2 = 10.46, P = 0.001], edema or effusion in serous cavity [67.5% (27/40) vs. 8.9%(4/45), χ2 = 31.40, P < 0.001], hematological system involvement [32.5% (13/40) vs. 0 (0/44), χ2 = 16.92, P < 0.001], and renal involvement [22.5% (9/40) vs. 2.3%(1/44), χ2 = 6.36, P = 0.012]. Laboratory findings showed that the levels of hemoglobin and albumin in MCD patients were lower than those in UCD patients, while white blood cell count in MCD patients was higher than that in UCD patients. Additionally, MCD patients exhibited elevated levels of C-reactive protein, interleukin-6, vascular endothelial growth factor, erythrocyte sedimentation rate, and ferritin compared to UCD patients (all P < 0.05). Among UCD patients, 40 cases underwent simple surgical resection, with no deaths during follow-up and the 5-year overall survival (OS) rate of 100.0%; among MCD patients, 34 cases received chemotherapy, 4 received siltuximab, 3 died during follow-up with a 5-year OS rate of 87.5%; and there was no statistically significant difference in OS between the MCD and UCD groups ( χ2 = 3.67, P = 0.055). Among MCD patients, the OS of those with renal involvement (9 cases) was worse than that of those without renal involvement (31 cases) ( χ2 = 8.39, P = 0.004). Conclusions:CD is a highly heterogeneous disorder. Surgical resection is the primary treatment for UCD, with a favorable prognosis. Chemotherapy is the main treatment for MCD, with a relatively poor prognosis.

Objective: To explore the association between physical activity, anxiety symptoms and academic performance among junior high school students, so as to provide data support for optimizing school physical education and health work and formulating physical activity guidelines. Methods: From September to December 2022, a convenience cluster sampling method was used to survey 2 800 junior high school students in a middle school from Anqing City, Anhui Province. Data were collected on the students anxiety symptoms, academic performance, 24 hour physical activity [moderate to vigorous intensity physical activity(MVPA), light intensity physical activity(LPA), sedentary behavior(SB), and sleep(SLP) duration] as well as demographic characteristics. Compositional data analysis was used to explore the associations between 24 hour physical activity, anxiety symptoms and academic performance among junior high school students, and to predict the optimal time use combination pattern. Results: Among the junior high school students, 16.0% (447 students) reported anxiety symptoms, and 42.0% (1 175 students) achieved excellent or good academic performance. Compositional data analysis showed that increased SLP duration was associated with both reduced anxiety symptoms ( β =-0.18) and decreased academic performance ( β =-0.03) among junior high school students; increased MVPA duration was correlated with fewer anxiety symptoms ( β =-0.02) and lower academic performance ( β =-0.13); in contrast, increased SB duration was linked to more anxiety symptoms ( β =0.09) and higher academic performance ( β =0.09) (all P <0.01). LPA duration exhibited a non linear relationship with anxiety symptoms and academic performance in junior high school students (all P >0.05). The time use combination pattern corresponding to the lowest anxiety symptoms and highest academic performance (top 5%) in adolescents was 611 (520-640) minutes of SLP, 258 (230-320) minutes of SB, 454 (280-610) minutes of LPA, and 117 (20-200) minutes of MVPA per day. Conclusions The 24 hour physical activity of junior high school students is associated with anxiety symptoms and academic performance. Therefore, it is recommended to increase the time spent on SB, MVPA, and LPA for junior high school students, while reducing SB.

To analyze the trends in disease burden and risk factors of depression among the elderly population in China from 1990 to 2021, and to provide a theoretical basis for the prevention, treatment, and policy-making of geriatric depression in China.

To address the issue that the existing weakly supervised segmentation methods have difficulties in obtaining fine-grained glandular features from colorectal pathological images,leading to the inability to generate high-quality pseudo-labels and compromising the gland segmentation performance,a dual-branch network based on weakly supervised learning is proposed for gland segmentation in colorectal pathological image.The patch-level colorectal pathological images are input into the first branch network,where the interaction and fusion of local and global features of patch-level images are achieved through the feature interaction module and affinity attention fusion module,and fine-grained glandular features are obtained.Subsequently,image-level colorectal pathological images are input into the second branch network,where the gland locations are located using the partial class activation attention module,and coarse-grained class activation maps are obtained.Finally,high-quality pseudo-labels are derived from the fine-grained glandular features and coarse-grained class activation maps,and gland segmentation is realized in the segmentation network through the cross-scale connected spatial perception module.The tests on two colorectal pathological image datasets(GlaS and CRAG)reveal that the proposed method is superior to other segmentation methods in segmentation performance,confirming its effectiveness.

High-precision segmentation of melanoma images is crucial for early diagnosis and improving patient survival.However,the blurring of the edge region of melanoma,which presents irregular shapes,makes it difficult for existing segmentation methods to obtain edge feature information,affecting the accuracy of melanoma image segmentation.To solve this problem,a melanoma image segmentation method based on edge key points and edge attention is proposed.An edge key point selection module for point rendering and a combined convolution transformer block are designed in the encoder to guide the acquisition of local and global features of the edge by selecting edge key points.Then,the edge refinement module is designed in the encoder to refine the edge features of the deep network,and finally,the multi-scale edge attention module is designed in the skip connection,which enables the capture of the edge shape features at multiple scales.The tests on two datasets(ISIC 2018 and PH2)demonstrate that the proposed method has better segmentation performance than the existing segmentation methods.