Background and objective To study the clinicopathoiogical characteristics of Lynch syn＆ome-associated endometrial carcinoma in China.Methods Twenty-seven patients who fulfilled the Amsterdam Criteria Ⅱ were classified as having Lynch syndrome-associated endometrial carcinoma (Group A), and 331 patients without a family history of cancer were classified as having sporadic endometrial carcinoma (Group B).Results There were 81 malignancies in 27 Lynch syndrome-associated endometrial carcinoma families, including colorectal cancer (CRC, 24.7%), endometrial carcinoma (21.0%), liver (12.3%), stomach (9.9%), lung (6.2%), and breast (6.2%) cancers. Mean age at time of diagnosis was 49.7 years in Group A and 56.3 years in Group B (P=0.004). Second primary cancers occurred in 33.3% of patients in Group A and 5.1% in Group B (P<0.0001). "Ihe most common second primary cancers were colorectal cancer (44%) and ovarian cancer (22%). The percentage of obese patients was higher in Group A (P=0.013). There was no difference between the two groups in incidence of diabetes mellitns or hypertension or in histological type and FIGO stage. The 5-year survival rates for Group A and B were 96.2% and 79.6%, respectively. Prognosis for Group A was better than for Group B (P=0.045).Conclusion Some clinicopathologicai features of Lynch syndrome-associated endometrial carcinoma, such as early onset and multiple primary carcinomas, are similar in the Chinese and American/European populations. However, the Chinese population had a unique family cancer distribution that included lung and breast cancers. An increased number of grade 1 endometrioid tumors and a better prognosis imply better biobehavior in Chinese Lynch syndrome-associated endometrial carcinoma. Obesity may be a co-contributing factor for development of Lynch syndrome associated endometrial cancer in China.

Objective In this study we aimed to examine the reliability and validity of the wristband activity monitor against the accelerometer for children.Methods A total of 99 children (mean age =13.0 ± 2.5 y) wore the two monitors in a free-living context for 7 days.Reliability was measured by intraclass correlation to evaluate consistency over time.Repeated-measures analyses of variance was used to detect differences across days.Spearman's correlation coefficient (rho),median of absolute percentage error,and Bland-Altman analyses were performed to assess the validity of the wristband against the ActiGraph accelerometer.The optimal number of repeated measures for the wristband was calculated by using the Spearman-Brown prophecy formula.Results The wristband had high reliability for all variables,although physical activity data were different across 7 days.A strong correlation for steps (rho:0.72,P ＜ 0.001),and moderate correlations for time spent on total physical activity (rho:0.63,P ＜ 0.001) and physical activity energy expenditure (rho:0.57,P ＜ 0.001) were observed between the wristband and the accelerometer.For different intensities of physical activity,weak to moderate correlations were found (rho:0.38 to 0.55,P ＜ 0.001).Conclusion The wristband activity monitor seems to be reliable and valid for measurement of overall children's physical activity,providing a feasible objective method of physical activity surveillance in children.

OBJECTIVE: To investigate the stress distribution to the mandible, with and without impacted third molars (IM3s) at various orientations, resulting from a 2000-Newton impact force either from the anterior midline or from the body of the mandible. MATERIALS AND METHODS: A 3D mandibular virtual model from a healthy dentate patient was created and the mechanical properties of the mandible were categorized to 9 levels based on the Hounsfield unit measured from computed tomography (CT) images. Von Mises stress distributions to the mandibular angle and condylar areas from static impact forces (Load I-front blow and Load II left blow) were evaluated using finite element analysis (FEA). Six groups with IM3 were included: full horizontal bony, full vertical bony, full 450 mesioangular bony, partial horizontal bony, partial vertical, and partial 450 mesioangular bony impaction, and a baseline group with no third molars. RESULTS: Von Mises stresses in the condyle and angle areas were higher for partially than for fully impacted third molars under both loading conditions, with partial horizontal IM3 showing the highest fracture risk. Stresses were higher on the contralateral than on the ipsilateral side. Under Load II, the angle area had the highest stress for various orientations of IM3s. The condylar region had the highest stress when IM3s were absent. CONCLUSIONS High-impact forces are more likely to cause condylar rather than angular fracture when IM3s are missing. The risk of mandibular fracture is higher for partially than fully impacted third molars, with the angulation of impaction having little effect on facture risk.
Adult ; Algorithms ; Biomechanical Phenomena ; Computer Simulation ; Dental Stress Analysis ; Elastic Modulus ; Female ; Finite Element Analysis ; Humans ; Imaging, Three-Dimensional ; Mandible/physiopathology* ; Mandibular Fractures/physiopathology* ; Models, Biological ; Molar, Third/physiopathology* ; Stress, Mechanical ; Tomography, X-Ray Computed

OBJECTIVE: This study is aimed to report the development, the reliability and validity of the Chinese Children Physical Activity Questionnaire (CCPAQ) which was designed for the assessment of physical activity pattern in young population in China. METHODS: The CCPAQ was administered for two times in 119 children (mean age 13.1 ± 2.4 years; boys 47%) to examine reliability by using intraclass correlation coefficients. Validity was determined in 106 participants by agreement with the CCPAQ measures and the objective method, the ActiGraph accelerometer. Data on physical activity pattern including time spent on different intensities and total physical activity, sedentary behavior as well as physical activity energy expenditure were used to assess the validity with Spearman's correlation coefficient and the Bland-Altman plots. RESULTS: The reliability coefficient of the CCPAQ ranged from 0.63-0.93 (Intra-class correlation coefficient). Spearman's correlation coefficient for validity of time spent on total physical activity and sedentary behavior were all 0.32 (P < 0.001), and for physical activity energy expenditure was 0.58 (P < 0.001). Time spent on moderate-to-vigorous physical activity and light physical activity showed a relatively low correlation with the accelerometer (rho = 0.20, P = 0.040; rho = 0.19, P = 0.054). CONCLUSION The CCPAQ appears to be a promising and feasible method to assess physical activity pattern in Chinese children.

Neurocognitive deficits are frequently observed in patients with schizophrenia and major depressive disorder (MDD). The relations between cognitive features may be represented by neurocognitive graphs based on cognitive features, modeled as Gaussian Markov random fields. However, it is unclear whether it is possible to differentiate between phenotypic patterns associated with the differential diagnosis of schizophrenia and depression using this neurocognitive graph approach. In this study, we enrolled 215 first-episode patients with schizophrenia (FES), 125 with MDD, and 237 demographically-matched healthy controls (HCs). The cognitive performance of all participants was evaluated using a battery of neurocognitive tests. The graphical LASSO model was trained with a one-vs-one scenario to learn the conditional independent structure of neurocognitive features of each group. Participants in the holdout dataset were classified into different groups with the highest likelihood. A partial correlation matrix was transformed from the graphical model to further explore the neurocognitive graph for each group. The classification approach identified the diagnostic class for individuals with an average accuracy of 73.41% for FES vs HC, 67.07% for MDD vs HC, and 59.48% for FES vs MDD. Both of the neurocognitive graphs for FES and MDD had more connections and higher node centrality than those for HC. The neurocognitive graph for FES was less sparse and had more connections than that for MDD. Thus, neurocognitive graphs based on cognitive features are promising for describing endophenotypes that may discriminate schizophrenia from depression.
Adult ; Algorithms ; Depressive Disorder, Major ; classification ; diagnosis ; Endophenotypes ; analysis ; Female ; Humans ; Machine Learning ; Male ; Markov Chains ; Neuropsychological Tests ; Schizophrenia ; classification ; diagnosis ; Young Adult