Objective: To construct an index system of public health risk assessment for air pollution emergency, so as to provide a tool of evaluating the public health risks of air pollution emergency. Methods: Index system of public health risk assessment for air pollution emergency was established through literature review and group discussions. The index system was determined through two rounds of Delphi expert consultations involving specialists in environmental health, toxicology, epidemiology, health emergency response, and atmospheric monitoring. The effectiveness of the consultation was evaluated by positive coefficient, authority coefficient and coordination coefficient. The weights of index were determined using a combination weighting method of the expert scoring method and the entropy weight method. Results: Fifteen experts participated in the consultation, including 11 males and 4 females. There were 8 experts with a doctor degree, 6 experts with a master degree, 1 experts with a bachelor degree. A total of 11 experts with senior professional titles, and 4 experts with associate senior professional titles. The average work experience was (23.73±10.48) years. The expert positive coefficients for the two rounds of consultations were 83.33% and 100%, respectively. The expert authority coefficients were 0.794 and 0.811, respectively. The coefficients of variation for the importance, feasibility, and sensitivity scores of each index in the two rounds of comsultations were 0.097 to 0.352, 0.078 to 0.478, 0.115 to 0.388, and 0.049 to 0.133, 0.052 to 0.153, 0.049 to 0.178, respectively. The Kendall's coefficients of concordance were 0.237 and 0.440 (both with P<0.05) for the two rounds of consultations. The constructed assessment index system included "likelihood" "hazard" "vulnerability" "controllability" with comprehensive weights of 0.206 7, 0.059 6, 0.378 1, and 0.355 5, respectively. Among the 13 second indicators, "monitoring capability" had the highest comprehensive weight of 0.192 6. Among the 40 tertiary indicators, "real-time monitoring of atmospheric pollutants" "retrospective evaluation of early forecasting results" "types, quantities, and combined effects of atmospheric pollutants" "exposure modes of the population to atmospheric pollutants" had relatively high comprehensive weights of 0.089 5, 0.043 1, 0.041 1 and 0.040 3, respectively. Conclusion The constructed index system of public health risk assessment for air pollution emergency can be applied to the public health risk assessment for air pollution emergencies.

Objective: To develop the Family-School-Community Cooperation Dilemma Scale for Nutritional Education in Primary Schools Students, and to determine its reliability and validity, in order to provide a basis for developing targeted strategies to promote family-school-community cooperation in the area of nutritional education. Methods: Based on overlapping spheres of influence theory, the initial scale was developed through a qualitative and literature review, discussion with Delphi experts and a pilot survey from July 2022 to July 2023. From July to September 2023, a total of 125 primary school parents, 118 primary school teachers and 113 community personnel were selected from six cities in Jiangsu Province by convenient sampling methods, who were investigated to test the reliability and validity of the scale and to develop a formal scale. Results: The final Family-School-Community Cooperation Dilemma Scale for Nutritional Education in Primary School students consisted of 3 dimensions and 19 items. The exploratory analysis extracted three metric factors, with a contribution ratio of 69.07% to the accumulated variance. The mean scale component effectiveness was 0.94, and the coefficient of association between the respective dimensions and the scale ranged from 0.80 to 0.91.The overall Cronbach α coefficient for the scale was 0.95, the folded half reliability was 0.87, and the retest reliability was 0.98. Conclusion The Family-School-Community Cooperation Dilemma Scale for Nutritional Education in Primary School Students has good reliability and validity, and can be used to measure the degree of the family-school-community cooperation dilemma regarding nutritional education in primary school students.

Hepatocellular carcinoma (HCC) is one of the most common malignancies and is a major cause of cancer-related mortalities worldwide (Forner et al., 2018; He et al., 2023). Sarcopenia is a syndrome characterized by an accelerated loss of skeletal muscle (SM) mass that may be age-related or the result of malnutrition in cancer patients (Cruz-Jentoft and Sayer, 2019). Preoperative sarcopenia in HCC patients treated with hepatectomy or liver transplantation is an independent risk factor for poor survival (Voron et al., 2015; van Vugt et al., 2016). Previous studies have used various criteria to define sarcopenia, including muscle area and density. However, the lack of standardized diagnostic methods for sarcopenia limits their clinical use. In 2018, the European Working Group on Sarcopenia in Older People (EWGSOP) renewed a consensus on the definition of sarcopenia: low muscle strength, loss of muscle quantity, and poor physical performance (Cruz-Jentoft et al., 2019). Radiological imaging-based measurement of muscle quantity or mass is most commonly used to evaluate the degree of sarcopenia. The gold standard is to measure the SM and/or psoas muscle (PM) area using abdominal computed tomography (CT) at the third lumbar vertebra (L3), as it is linearly correlated to whole-body SM mass (van Vugt et al., 2016). According to a "North American Expert Opinion Statement on Sarcopenia," SM index (SMI) is the preferred measure of sarcopenia (Carey et al., 2019). The variability between morphometric muscle indexes revealed that they have different clinical relevance and are generally not applicable to broader populations (Esser et al., 2019).
Humans ; Aged ; Sarcopenia/diagnostic imaging* ; Carcinoma, Hepatocellular/diagnostic imaging* ; Muscle, Skeletal/diagnostic imaging* ; Deep Learning ; Prognosis ; Radiomics ; Liver Neoplasms/diagnostic imaging* ; Retrospective Studies

Abstract Vitamin D, as an important nutrient, has been widely recognized for its significant role in the growth and development of children and adolescents, but its association with mental health is still under exploration. The article reviews and summarizes the related researches on vitamin D and common mental health problems of children and adolescents, including depression symptoms, anxiety symptoms, and suicidal ideation and behaviors, and possible biological mechanisms of vitamin D influencing mental health, to provide scientific evidence and ideas for improving the mental health of children and adolescents in China, as well as insights for future studies.

Objective: To investigate the risk factors for yersiniosis, so as to provide insights into prevention of yersiniosis. Methods: The patients with yersiniosis admitted to the clinics in the surveillance site of Chengbei Township of Jin'an District and Chengnan Township of Yu'an District in Lu'an City from 2013 to 2021 were included as the case group, and the healthy family members matched to cases were selected as the family control group, while normal residents with a 1︰2 match in the same village, gender, and age difference within 5 years were included in the community control group. Participants' demographics, hand-washing and eating habits, living environment hygiene, poultry and livestock feeding were collected using questionnaire surveys, and factors affecting yersiniosis were identified using a multivariable conditional logistic regression model. Results: There were 43 cases in the case group, with a median (interquartile range) age of 45 (34) years, 91 cases in the family control group, with a median (interquartile range) age of 36 (36) years and 86 cases in the community control group, with a median (interquartile range) age of 46 (34) years. Multivariable conditional logistic regression analysis showed that compared with the family control group, the habit of drinking unboiled water (OR=6.721, 95%CI: 1.765-25.588), and direct consumption of food stored in the refrigerator (OR=7.089, 95%CI: 1.873-26.829) were risk factors for yersiniosis in the case group; and compared with the community control group, not washing hands after contacting with poultry and livestock (OR=50.592, 95%CI: 2.758-927.997), habit of eating raw vegetables and fruits (OR=5.340, 95%CI: 1.022-27.887), direct consumption of food stored in the refrigerator (OR=19.973, 95%CI: 2.118-188.336), and unclean refrigerator (OR=12.692, 95%CI: 1.992-80.869) were risk factors for yersiniosis in the case group. Compared with the family and community control groups, not washing hands after contacting with poultry and livestock (OR=4.075, 95%CI: 1.427-11.637), habit of drinking unboiled water (OR=4.153, 95%CI: 1.331-12.957), habit of eating raw vegetables and fruits (OR=4.744, 95%CI: 1.609-13.993), and direct consumption of food stored in the refrigerator (OR=5.051, 95%CI: 1.773-14.395) were risk factors for yersiniosis in the control group. Conclusion Unhealthy habits such as eating raw vegetables and fruits, drinking unboiled water, direct consumption of food stored in the refrigerator, unclean refrigerator, and not washing hands after contacting poultry and livestock may increase the risk of yersiniosis.

Objective: To construct a model for clinical identification of spotted fever (SF) and severe fever with thrombocytopenia syndrome (SFTS), so as to provide insights into early identification of SF and SFTS. Methods: The clinical data of laboratory-confirmed SF and SFTS patients in secondary and tertiary hospitals in Lu'an City, Anhui Province from May 2017 to May 2021 were retrieved from Chinese Disease Prevention and Control Information System. Factors affecting SF were identified using a logistic regression model, and the model for early identification of SF and SFTS was created. The model fitting effect was evaluated using Hosmer-Lemeshow test, and the value of the model for identification of SF and SFTS was evaluated using the area under the receiver operating characteristic curve (AUC). Results: Data of 62 SF cases and 115 SFTS cases were included. Multivariable logistic regression analysis showed that rash (β=5.994), C-reactive protein (β=4.409), white blood cell (β=-3.176) and platelet (β=-3.234) were included in the model, which were scored 6, 4, -3 and -3, with a total score ranging from -5 to 10. Hosmer-Lemeshow test revealed a high model fitting effect (χ2=3.245, P=0.662). The AUC of the model was 0.992, and the sensitivity and specificity were 0.935 and 0.991 if the cutoff was 1. Conclusion A model for early identification of SF and SFTS that includes four variables of rash, C-reactive protein, white blood cell and platelet has been created, which has a high accuracy.

Objective: To establish a ultra-high performance liquid chromatography-tandem triple quadrupole mass spectrometry method for rapid simultaneous determination of quinclorac, acetochlor, butachlor and metolachlor in urine. Methods: Urine samples were diluted 10 times, prepared into the mixed standard solution, and subjected to gradient elution on the ACQUITY UPLC BEH C18 column (100 mm×2.1 mm, 1.7 μm) with 0.1% formic acid and acetonitrile as the mobile phase. The quinclorac, acetochlor, metolachlor and butachlor levels were determined using electrospray ionization-positive ultra-high performance liquid chromatography-tandem triple quadrupole mass spectrometry with the multiple reaction monitoring mode. Results: Four herbicides were effectively separated on the ACQUITY UPLC BEH C18 column (100 mm× 2.1 mm, 1.7 μm), and good linear relationships were observed for quinclorac, acetochlor and butachlor at 1 to 25 μg/L and for metolachlor at 0.2 to 25 μg/L, with all linear correlation coefficients of >0.999. The detection limts of quinclorac, acetochlor, butachlor and metolachlor were 0.10, 0.10, 0.20 and 0.01 μg/L, respectively. The recovery rates of quinclorac, acetochlor and butachlor were 107.42%, 93.94% and 90.27% from urine samples at a spiked level of 5 µg/L, with relative standard deviations of 4.82%, 3.84% and 6.76%, and the recovery rate of metolachlor was 89.51% at a spiked level of 0.5 µg/L, with a relative standard deviation of 8.98%. Conclusion The chromatography and mass spectrometry conditions are optimized in this ultra-high performance liquid chromatography-tandem mass spectrometry, which is effective for rapid simultaneous determination of quinclorac, acetochlor, metolachlor and butachlor in urine samples.