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Objective@#To explore the relation of eating behavior to family health and personality traits in adolescents, and to provide empirical support for personality based prediction of adolescents susceptibility to poor eating behavior and family intervention.@*Methods@#A total of 563 adolescents aged 12 to 17 years old from nuclear families, who were selected from "Survey of Chinese Family Health Index(2021)". A general characteristic questionnaire, Short form of Family Health Scale, 10 item Big Five Inventory, and Short form of Sakata Eating Behavior Scale were used to collect information. The relationships of eating behavior to family health and personality traits were analyzed by structural equation modeling.@*Results@#Group comparison indicated that there was a significant difference in scores of the big five personalities and eating behaviors among adolescents from diverse family health statuses( P <0.01). Additionally, there were significant correlations among family health, personality traits, and eating behavior( P <0.01). Structural equation modeling showed that family health resources (-0.34), conscientiousness (-0.17), extraversion ( 0.14 ), agreeableness (-0.13) directly affected eating behavior( P <0.05). Meanwhile, family external social support associated with eating behavior by affecting extraversion (0.22), and family health resources associated with eating behavior by affecting agreeableness(0.12)( P <0.05).@*Conclusion@#Not only could family health directly affect eating behavior, but it could indirectly associate with eating behavior by affecting personality traits among adolescents in nuclear families. The role of the family in improving adolescent poor eating behavior should be emphasized.
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Objective:To explore the value of dual-layer spectral detector CT in differentiating the diagnosis of lung cancer and inflammatory nodules.Methods:A total of 92 patients undergoing enhanced chest scan from March 2019 to September 2020 at Renji Hospital, School of Medicine, Shanghai Jiaotong University, were retrospectively enrolled in the study. The conventional CT parameters, spectral CT parameters were measured and the nodules′ morphological characteristics were analyzed. Later the factors with statistical significance were identified as independent variables in a logistic regression model to establish models for predicting malignant nodules. ROC curve was used to assess the diagnostic performance for the conventional CT model, spectral CT parameters and combined model, respectively. Differences in the area under the ROC curve (AUC) were analyzed by the DeLong test.Results:Lobulated sign (42 and 8, respectively, χ2=10.779, P=0.001), short burr sign (41 and 7, respectively, χ2=11.911, P=0.001), pleural indentation sign (45 and 9 respectively, χ2=11.705, P=0.001), vascular convergence sign (35 and 8, respectively, χ2=5.337, P=0.021) and the venous phase iodine concentrations (IC) value [(2.1±0.5) mg/ml, (2.3±0.5) mg/ml, t=-2.464, P=0.016], normalized iodine concentrations (NIC) value (0.40±0.06, 0.45±0.08, t=-6.943, P<0.001), and Z-effective (Z eff) values (8.38±0.21, 8.49±0.19, t=-2.122, P=0.037) were significantly different between the lung cancer group and the inflammatory group, while other CT signs and CT indicators were not significantly different between the lung cancer group and the inflammatory group ( P>0.05). The conventional CT model was established with lobulated sign, short burr sign, pleural indentation sign, vascular convergence sign, and the AUC for differential diagnosis of lung cancer and inflammatory nodules was 0.827. The spectral CT parameter model was established with venous phase IC, venous phase NIC, and venous phase Z eff value, and the AUC for differential diagnosis of lung cancer and inflammatory nodules was 0.899. The conventional CT model combined spectral CT parameter model was established with the significant factors in the univariate analysis, and the AUC for differential diagnosis of lung cancer and inflammatory nodules was 0.925. The AUC of the combined model showed no significant difference from that of the spectral CT parameter model ( Z=1.794, P=0.073). However, AUC of the combined model was significantly higher than that of evaluation based on conventional CT alone ( Z=2.156, P=0.031). Conclusion:Spectral CT parameters combined with conventional CT signs can improve the differential diagnosis efficiency between lung cancer and inflammatory nodules.
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Objective To assess quantitative and subjective image quality in computed tomography pulmonary angiography (CT-PA)with dual-energy subtraction methods,and to select the best dual-energy subtraction method.Methods 30 consecutive patients underwent CTPA using a single tube,fast voltage switching technique.One set of routine poly-chromatic images (RPI),two sets of monochromatic images with different optimal contrast-to-noise ratios (OCNR)and three sets of dual-energy subtraction images (DE-SI)were obtained by a dedicated workstation with dual-energy software (AW4.5 Advantage WS;GE Healthcare).For all the six sets of images,CNR and the score of global subjective image quality were calculated.Results DESI 3 got the highest CNR,and DESI 1 got the next high CNR.In global subjective image quality,DESI 1 got the highest score.However,when compared with DESI 2,no significant difference was found.Conclusion CTPA with dual-energy subtraction technique is feasible.DESI 1 affords the best bal-ance between quantitative analysis and subjective evaluation compared with other sets of images.
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Objective To explore the accuracy of high definition computed tomography angiography (HDCTA)in the evaluation of coronary in-stent restenosis.Methods 93 patients with 159 implanted coronary stents who underwent both HDCTA and CAG were included in the study.The sensitivity,specificity,positive predictive value (PPV),negative predictive value (NPV)and diag-nostic accordance rate of HDCTA were calculated.The imaging quality was analyzed by visual estimation.Possible factors that in-fluenced the diagnostic accuracy of HDCTA were evaluated,which included stent location,stent diameter and heart rate in the pa-tients with left anterior descending branch stents.Results Restenosis was found in 21 stents by CAG and 19 stents by HDCTA.The false positive and false negative were 5 and 3,respectively.Sensitivity,specificity,PPV,NPV and diagnostic accordance rate were 90.5%,96.4%,79.2%,98.5% and 95.6% respectively.The image quality was 4 score in 75 stents (47.1%),3 score in 33 (20.8%),2 score in 27 (17%),≤1 score in 24 (15.1%).The image quality of proximal segments,large stents (≥3.0 mm)and slow heart rate (<66 beast per minute)was significantly better than that of distal segments,small stents (<3.0 mm)and fast heart rate (≥6 6 beast per minute).Conclusion HDCTA is a convenient,efficient and non-invasive method for follow-up after im-plantation of the coronary artery stents.