Association between long working hours and the development of suicidal ideation among female workers: An 8-year population-based study using the Korean Longitudinal Survey of Women & Family (2012-2020).

Long working hours and overwork have recently emerged as pressing public health concerns. We explored the association between long working hours and suicidal ideation in female workers. A total of 8017 women (24,331 observations) from the fourth to eighth waves of the Korean Longitudinal Survey of Women and Families (2012-2020) were analyzed. To address the repeated measurements within each participant, we employed a generalized estimating equation to estimate the odds ratio (OR) and 95% confidence intervals (CIs). The prevalence of suicidal ideation was 1.9% for those working 35-40 h/week and 4.4% for those working ≥55 h/week. Compared to individuals working 35-40 h/week, those working ≥55 h/week were more likely to experience concurrent suicidal ideation (OR [95% CI]:1.85 [1.43-2.39]). The OR (95% CI) of the association between long working hours and onset of suicidal ideation in the subsequent wave was 1.69 (1.20-2.38) for ≥55 h/week. In subgroup analysis, this association was pronounced among workers with low-income levels (OR [95% CI]: 1.97 [1.29-3.02]) and blue-collar occupations (OR [95% CI]: 2.27 [1.41-3.66]). Policy efforts are required to protect the mental health of female workers exposed to long working hours.

Role and significance of deep learning in intelligent segmentation and measurement analysis of knee osteoarthritis MRI images / 中国组织工程研究

BACKGROUND:MRI is important for the diagnosis of early knee osteoarthritis.MRI image recognition and intelligent segmentation of knee osteoarthritis using deep learning method is a hot topic in image diagnosis of artificial intelligence. OBJECTIVE:Through deep learning of MRI images of knee osteoarthritis,the segmentation of femur,tibia,patella,cartilage,meniscus,ligaments,muscles and effusion of knee can be automatically divided,and then volume of knee fluid and muscle content were measured. METHODS:100 normal knee joints and 100 knee osteoarthritis patients were selected and randomly divided into training dataset(n=160),validation dataset(n=20),and test dataset(n=20)according to the ratio of 8:1:1.The Coarse-to-Fine sequential training method was used to train the 3D-UNET network deep learning model.A Coarse MRI segmentation model of the knee sagittal plane was trained first,and the rough segmentation results were used as a mask,and then the fine segmentation model was trained.The T1WI and T2WI images of the sagittal surface of the knee joint and the marking files of each structure were input,and DeepLab v3 was used to segment bone,cartilage,ligament,meniscus,muscle,and effusion of knee,and 3D reconstruction was finally displayed and automatic measurement results(muscle content and volume of knee fluid)were displayed to complete the deep learning application program.The MRI data of 26 normal subjects and 38 patients with knee osteoarthritis were screened for validation. RESULTS AND CONCLUSION:(1)The 26 normal subjects were selected,including 13 females and 13 males,with a mean age of(34.88±11.75)years old.The mean muscle content of the knee joint was(1 051 322.94±2 007 249.00)mL,the mean median was 631 165.21 mL,and the mean volume of effusion was(291.85±559.59)mL.The mean median was 0 mL.(2)There were 38 patients with knee osteoarthritis,including 30 females and 8 males.The mean age was(68.53±9.87)years old.The mean muscle content was(782 409.18±331 392.56)mL,the mean median was 689 105.66 mL,and the mean volume of effusion was(1 625.23±5 014.03)mL.The mean median was 178.72 mL.(3)There was no significant difference in muscle content between normal people and knee osteoarthritis patients.The volume of effusion in patients with knee osteoarthritis was higher than that in normal subjects,and the difference was significant(P<0.05).(4)It is indicated that the intelligent segmentation of MRI images by deep learning can discard the defects of manual segmentation in the past.The more accuracy evaluation of knee osteoarthritis was necessary,and the image segmentation was processed more precisely in the future to improve the accuracy of the results.

Corrigendum: Impact of destination image formation on tourist trust: mediating role of tourist satisfaction.

[This corrects the article DOI: 10.3389/fpsyg.2022.845538.].

Impact of Destination Image Formation on Tourist Trust: Mediating Role of Tourist Satisfaction.

Tourist destinations with cultural heritage have arisen as a prominent issue in tourism literature. Creating a positive image of the destination can influence tourists' satisfaction and willingness to return. The goal of this research is to investigate the relationship between destination image formation (DIF), tourist satisfaction (TS), and tourist trust (TT). As a result, the structural relationships between local community participation (LCP), authenticity (A), access to local products (ALP), TS, and TT were investigated in this study. This study used a quantitative approach based on a survey of 644 domestic and foreign tourists visiting the Guangdong cities of Guangzhou, Foshan, and Shenzhen. The statistical software SmartPLS 3.3.3 was used to determine the relationship between variables in the research model using structural equation modeling. The outcomes show a positive correlation between LCP, A, and ALP, which led to tourist satisfaction and, eventually, tourist trust. It is concluded that the DIF and TS may result in increased tourist trust. There is also a discussion of additional theoretical contributions, practical implications, and limitations. The outcomes of this study will help to shed light on the variables that encourage and promote tourism in developing countries.

The learning curve and difficult points of the O-RADS ultrasound risk stratification system in 54 trainees.

PURPOSE: This study aimed to evaluate the learning curve and explore the difficult points of the Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound risk stratification system. METHODS: One hundred adnexal masses (AMs) were randomly selected for five tests as training data. Two experienced trainers had an inter-rater agreement of 0.95 for the O-RADS scores. Fifty-four trainees (26 level I practitioners [group 1], 17 level II practitioners [group 2], and 11 experienced level II practitioners [group 3]) attended the training. Every trainee received assessment and feedback after 20 scored cases. The outcomes of the five tests were compared among the three groups using repeated-measurements analysis of variance. RESULTS: Of the 100 AMs, 52 were pathologically benign and 48 were malignant; the O-RADS scores were 2, 3, 4, and 5 in 22, 11, 48, and 19 AMs, respectively. The between-subjects effects test showed no significant differences between groups 1, 2, and 3 for the five tests (P=0.501). For each group, the differences among the five tests were significant (P<0.001, P=0.006, and P=0.044 for groups 1, 2, and 3, respectively). Test 2 was the worst. In 23 cases, more than 40% of trainees gave incorrect answers, which mainly related to classic benign lesions, the color flow score, and solid-appearing masses. CONCLUSION: After training, junior doctors at different levels can reach a coincident O-RADS ultrasound risk stratification. The difficulties primarily related to subjective judgments of classic benign lesions, the color flow score, and solid-appearing masses. More experience is needed to improve the applicability of the system.

A topological data analysis based classification method for multiple measurements.

BACKGROUND: Machine learning models for repeated measurements are limited. Using topological data analysis (TDA), we present a classifier for repeated measurements which samples from the data space and builds a network graph based on the data topology. A machine learning model with cross-validation is then applied for classification. When test this on three case studies, accuracy exceeds an alternative support vector machine (SVM) voting model in most situations tested, with additional benefits such as reporting data subsets with high purity along with feature values. RESULTS: For 100 examples of 3 different tree species, the model reached 80% classification accuracy after 30 datapoints, which was improved to 90% after increased sampling to 400 datapoints. The alternative SVM classifier achieved a maximum accuracy of 68.7%. Using data from 100 examples from each class of 6 different random point processes, the classifier achieved 96.8% accuracy, vastly outperforming the SVM. Using two outcomes in neuron spiking data, the TDA classifier was similarly accurate to the SVM in one case (both converged to 97.8% accuracy), but was outperformed in the other (relative accuracies 79.8% and 92.2%, respectively). CONCLUSIONS: This algorithm and software can be beneficial for repeated measurement data common in biological sciences, as both an accurate classifier and a feature selection tool.

Variations of phthalate exposure and metabolism over three trimesters.

Maternal exposure to phthalates may cause some adverse health effects on both mother and fetus, but variations of phthalate exposure and metabolism during pregnancy have not been thoroughly characterized. A total of 946 participants were selected from a cohort study conducted in Wuhan between 2014 and 2015 through which they had provided a complete set of urine samples at three trimesters. Eight phthalate metabolites were analyzed in 2838 urine samples. Based on urinary concentrations, various parameters (i.e. phthalate metabolite concentrations, ratios of metabolites of bis(2-ethylhexyl) phthalate (DEHP) in DEHP, and percentages of individual metabolites in total phthalates) were compared over three visits. We observed that levels of phthalate metabolites showed a U-shaped trend across three trimesters. The significant variations in the ratios of DEHP metabolites indicated that the efficiency in metabolizing DEHP declined during pregnancy and less recent exposure occurred in mid-pregnancy. The changes of percentages of individual compound in total phthalates suggested the inconsistent pattern over trimesters. This longitudinal study found that the exposure pattern, exposure timing and metabolic susceptibility varied by trimesters, which suggests that urine samples should be collected at multiple time points and mothers should be especially careful in the early pregnancy.

Changes in health-related quality of life in oesophagogastric cancer patients participating in palliative and curative therapies.

Background: Various treatments are used to prolong survival and improve quality of life (QOL). The purpose of this study was to assess the change in QOL scores in patients with Oesophagogastric (OG) cancer undergoing curative intent and palliative therapy. Methods: This was a mix-designed cohort study with a consecutive sampling of patients with OG cancer who underwent curative or palliative treatment regimens. The QOL, as a determinant of efficacy and impact of cancer care, was evaluated using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaires. QOL data were collected from the eligible subjects at three points of time. The repeated measurement test was used to compare the significance of change in scores. Results: Overall, 149 patients (54.4% male, 61.1% curative intent, 52.3% esophageal, 37.6 % gastric, 10.1% OG junction cancer; with mean age 62 year) with OG cancer were eligible for inclusion in the study. Compared to the palliative group, the curative group was more likely to have an esophageal tumor site, Squamous Cell Carcinoma, and stage 2 (versus stomach, Adenocarcinoma, and stage 4 in the palliative group). In comparing the patients' functional, global health status, and cancer symptom, considering time, group of treatment, and their mutual effect the result indicated significant difference between the intervention groups. Conclusion: Most patients with Oesophagogastric cancer are diagnosed with an incurable form of the disease. Hence in absence of curative treatment, palliative therapy is the most effective therapy to maintain patient independency and relieve pain and symptom in order to improve their QOL. The present study has shown that palliative similar to curative intervention can improve the QOL in cancer patient especially in short term.

Pharmaceutical Analysis of Judicial Precedents Involving Off-label Drug Use / 中国药学杂志

OBJECTIVE: To analyze 13 judicial precedents involving off-label drug use and explore the legal interpretation on off-label drug use in China in order to provide experience for establishment of off-label drug use and clinical application. METHODS: Based on the law databases (China Judgements Online, Chinalawinfo, Jufaanli, Itslaw), 13 cases were searched and screened involving legal off-label drug use. The relationship was investigated and discussed between different results and characteristics of the 13 cases. RESULTS: In 13 cases, there are 2 cases probably reasonable for off-label use, 2 cases unreasonable but not correlated with patients′ outcomes, 9 unreasonable and with a causal relationship with patients′ outcomes. In the 9 unreasonable cases, there are 4 cases without sufficient evidence, 3 cases without informed consent, 1 case lack of monitoring after off-label use, 1 case with idiosyncratic reaction, and 1 case not consistent with the label of the drug used. CONCLUSION: Major deficiencies of off-label drug use in China are without sufficient evidence, lack of informed consent and with uncompleted system on off-label drug use. Establishing more completed and detailed system, investigating enough clinical evidence, better informed consent and monitoring after off-label use are important measurements to ensure safety on off-label drug use.

Measurement analysis of two radials with a common-origin point and its application.

In spectral analysis, a chemical component is usually identified by its characteristic spectra, especially the peaks. If two components have overlapping spectral peaks, they are generally considered to be indiscriminate in current analytical chemistry textbooks and related literature. However, if the intensities of the overlapping major spectral peaks are additive, and have different rates of change with respect to variations in the concentration of the individual components, a simple method, named the 'common-origin ray', for the simultaneous determination of two components can be established. Several case studies highlighting its applications are presented.

Health-related quality of life instruments and individual diagnosis - a new area of application.

OBJECTIVES: Various health-related quality of life (HRQoL) instruments for children and adolescents have been developed and are applied in clinical and health economic studies with the research focus on the HRQoL of specific groups of responders, comparing these groups respectively. However, if HRQoL assessment aims to contribute on deciding upon a suitable individual treatment and the evaluation thereof, as well as to identify hidden morbidities, an individual diagnostic perspective is required.To date, the majority of HRQoL questionnaires for children and adolescents are not designed for individual diagnostic assessment and comparison. This paper aims to demonstrate that should a particular measurement tool meet specific psychometric requirements - an individual diagnostic assessment on mental health related problems is possible. We investigated whether or not the KIDSCREEN-27 HRQoL instrument for children and adolescents is able to detect mental health problems in general, provided we apply a principal component analysis (PCA) for summative scaling. METHODS: The cross-sectional survey of the KIDSCREEN project was carried out in 13 European countries (AT, CH, CZ, DE, EL, ES, FR, HU, IE, NL, PL, SE, UK). The Rasch-scaled KIDSCREEN-27 test-data of 22,830 children and adolescents were analysed. To achieve a summative scaling PCA was performed on the correlation between the KIDSCREEN-27 scores. The principal component (PC) values were estimated and used to score the respondents. The reliability and diagnostic quality of this scoring was examined. RESULTS: The first PC accounted for 58.28% of the entire variance within the KIDSCREEN-27 scores. All KIDSCREEN scales loaded high on the first PC. The reliability of the linear combination of KIDSCREEN-27 scores with the PC-values was rr=.94 and thus above the threshold for individual comparison. This value was higher than the values for the original single KIDSCREEN-27 scores (rr=.78-.84). The receiver operating characteristic curve (ROC) was calculated whilst screening for respondents with a mental health problem in general (Strengths and Difficulties Questionnaire). The area under the ROC (AuC) was .80 and statistically significant lower than the AuC issued after a logistic regression analysis employing the 5 original KIDSCREEN-27 scores (AuC=.83). However, according to international conventions, both AuCs denote a "good" discrimination. CONCLUSION: Specifically for the KIDSCREEN-27 the results show that the application of a specific scoring algorithm leads to fulfil pre-specified demands of high reliability. The applied scoring approach leads to a good discrimination of the measurement, thus enabling to detect a mental health problem in general using the HRQoL test-data. The presented approach can enhance the usability and range of application of HRQoL measurement.

The design and implementation of examination analysis quality system / 中华医学教育探索杂志

The research group has built appraisal system of Examination Quality measurement indices on the basis of the present research result of examination quality and the use of more advanced theory and method of educational measurement and educational statistics.According to the feedbackof examination,the examination quality measurement indices are divided into the measurement of test questions,test paper and test achivement,based on which,the mathematical model of Examination Analysis Quality is developed,and through the research and practice,the easy-to-operate software of the feasible examination quality analysis system is developed to realize the standardization,formatting and scientification of the evaluation of examination quality