ObjectivesThis study aimed to investigate the knowledge–attitude–practice (KAP) of Chinese college students regarding COVID-19 and evaluate their psychological status against the background of the COVID-19 outbreak.DesignThis was a cross-sectional study.SettingThis study covered 31 provinces, municipalities and autonomous regions of mainland China.ParticipantsThe participants, who were college students with ordinary full-time status, were surveyed anonymously on their KAP regarding COVID-19 by using self-made questionnaires. In addition, the Self-Rating Anxiety Scale was used to assess the psychological status of the students.MethodsThe online cross-sectional study among Chinese college students was conducted in February 2020. Logistic regression analysis was used to analyse the predictors of anxiety symptoms.Primary outcome measuresThe level of KAP and anxiety symptoms.ResultsA total of 740 college students from 31 provinces, municipalities and autonomous regions in China were recruited in the survey. Among them, 139 (18.78%) revealed having anxiety. Multivariable logistic regression analysis revealed that female gender was the risk factor for anxiety symptoms with an increased 2.164-fold risk than male gender (OR=2.164, 95% CI=1.279 to 3.662). The knowledge (OR=0.825, 95% CI=0.779 to 0.873) and attitude (OR=0.822, 95% CI=0.762 to 0.887) regarding COVID-19 were protective factors against anxiety symptoms.ConclusionsThe level of KAP regarding COVID-19 was significantly negatively correlated with anxiety symptoms. Thus, understanding the level of KAP among college students during the early stages of major public health emergencies, such as a pandemic, is important. Such understanding plays an important role in adopting targeted health education strategies and reducing the psychological damage caused by these emergencies.

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External pancreatic duct drainage can effectively reduce the morbidity of PF and overall complications after PD.

BackgroundKeshan disease (KD) is strongly associated with selenium deficiency. Selenoprotein P (SELENOP) is a recognized molecular biomarker of selenoproteins and an important indicator of selenium nutrition. This study was aimed at providing geographically precisely visualized evidence of selenium nutrition at molecular level for assessing KD prevention, control, and elimination on the etiological perspective.MethodsWe used spatial ecological design for this study. The serum SELENOP levels of the residents were measured by ELISA. ArcGIS version 9.0 was used for spatial description, spatial autocorrelation analysis of SELENOP levels and spatial regression with per capita disposable income.ResultsThe mean serum SELENOP levels of the 6,382 residents in 1,688 counties were 4.62 ± 1.82 μg/mL. The mean serum SELENOP levels of the residents living in the townships and rural areas of KD endemic counties were not statistically significantly lower than those of the KD non-endemic counties. The mean serum SELENOP levels were globally clustered (Moran's I = 0.03, z = 6.37, and P < 0.0001), and 99.3% (553/557) of the cold spots, identified by local autocorrelation analysis (Getis-Ord-Gi* analysis), were located in the KD endemic provinces of Shaanxi, Shanxi, Henan, Hebei, Shandong, Inner Mongolia, Gansu, Hubei, Chongqing, Yunnan, and Sichuan. The serum SELENOP level was positively correlated with per capita disposable income (t = 3.52, P = 0.0004).ConclusionsThe results of this study were the geographically precisely visualized evidence of selenium nutrition at molecular level for assessing KD elimination on the etiological perspective. The cold spot counties found by Getis-Ord-Gi* analysis in the KD endemic provinces should be the high priority of KD precision prevention and control.

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