BACKGROUND: The mechanisms distinguishing metabolically healthy from unhealthy phenotypes within the same BMI categories remain unclear. This study aimed to investigate the associations between regional fat distribution and metabolically unhealthy phenotypes in Chinese adults across different BMI categories. METHODS: This cross-sectional study involving 11833 Chinese adults aged 20 years and older. Covariance analysis, adjusted for age, compared the percentage of regional fat (trunk, leg, or arm fat divided by whole-body fat) between metabolically healthy and unhealthy participants. Trends in regional fat percentage with the number of metabolic abnormalities were assessed by the Jonckheere-Terpstra test. Odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated by logistic regression models. All analyses were performed separately by sex. RESULTS: In non-obese individuals, metabolically unhealthy participants exhibited higher percent trunk fat and lower percent leg fat compared to healthy participants. Additionally, percent trunk fat increased and percent leg fat decreased with the number of metabolic abnormalities. After adjustment for demographic and lifestyle factors, as well as BMI, higher percent trunk fat was associated with increased odds of being metabolically unhealthy [highest vs. lowest quartile: ORs (95%CI) of 1.64 (1.35, 2.00) for men and 2.00 (1.63, 2.46) for women]. Conversely, compared with the lowest quartile, the ORs (95%CI) of metabolically unhealthy phenotype in the highest quartile for percent arm and leg fat were 0.64 (0.53, 0.78) and 0.60 (0.49, 0.74) for men, and 0.72 (0.56, 0.93) and 0.46 (0.36, 0.59) for women, respectively. Significant interactions between BMI and percentage of trunk and leg fat were observed in both sexes, with stronger associations found in individuals with normal weight and overweight. CONCLUSIONS Trunk fat is associated with a higher risk of metabolically unhealthy phenotype, while leg and arm fat are protective factors. Regional fat distribution assessments are crucial for identifying metabolically unhealthy phenotypes, particularly in non-obese individuals.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Adipose Tissue ; Body Fat Distribution ; Body Mass Index ; China/epidemiology* ; Cross-Sectional Studies ; Health Surveys ; Phenotype

[This corrects the article DOI: 10.1016/j.apsb.2021.07.004.].

This study aimed to comprehensively examine the association of gallstones, cholecystectomy, and cancer risk. Multivariable logistic regressions were performed to estimate the observational associations of gallstones and cholecystectomy with cancer risk, using data from a nationwide cohort involving 239 799 participants. General and gender-specific two-sample Mendelian randomization (MR) analysis was further conducted to assess the causalities of the observed associations. Observationally, a history of gallstones without cholecystectomy was associated with a high risk of stomach cancer (adjusted odds ratio (aOR)=2.54, 95% confidence interval (CI) 1.50-4.28), liver and bile duct cancer (aOR=2.46, 95% CI 1.17-5.16), kidney cancer (aOR=2.04, 95% CI 1.05-3.94), and bladder cancer (aOR=2.23, 95% CI 1.01-5.13) in the general population, as well as cervical cancer (aOR=1.69, 95% CI 1.12-2.56) in women. Moreover, cholecystectomy was associated with high odds of stomach cancer (aOR=2.41, 95% CI 1.29-4.49), colorectal cancer (aOR=1.83, 95% CI 1.18-2.85), and cancer of liver and bile duct (aOR=2.58, 95% CI 1.11-6.02). MR analysis only supported the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer. This study added evidence to the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer, highlighting the importance of cancer screening in individuals with gallstones.
Humans ; Mendelian Randomization Analysis ; Gallstones/complications* ; Female ; Male ; Cholecystectomy/statistics & numerical data* ; Middle Aged ; Risk Factors ; Aged ; Adult ; Neoplasms/etiology* ; Stomach Neoplasms/epidemiology*

Objective:To elucidate the expression of angiopoietin-like protein 4 (ANGPTL4) in LPS-induced septic cardiomyopathy tissue and cardiomyocyte, and to explore the mechanism of ANGPTL4 in septic cardiomyopathy.Methods:Fifty C57BL/6 mice, aged 8 weeks, were randomly(random number) divided into a treatment group (LPS) and a control group ( n = 25 each). The mice in the treatment group were intraperitoneally injected with LPS (10 mg/kg) to establish a sepsis model. After 24 h, the myocardial tissues of the mice in the sepsis group and the control group, which were caused by LPS, were collected for RNA sequencing to pick out the differentially expressed gene of ANGPTL4.Ventricular myocytes of neonatal mice were taken, and the silencing and overexpression vectors of ANGPTL4 were transfected. After 48 hours of transfection, the cells were collected for subsequent detection. Western blot method was used to detect the expression of apoptotic factors Bax, Bcl-2, and Caspase 3 in mouse ventricular myocytes; CCK8 method was used to detect the activity of ventricular myocytes; using the Annexin V-FITC and PI double staining method, the apoptosis of ventricular myocytes was detected. Results:RNA-seq analysis revealed a statistically significant upregulation of ANGPTL4 expression at both transcriptional and translational levels in the ventricular tissue of septic mice, as compared to the control group ( P<0.05). The results of qRT-PCR and Western blot indicated that the mRNA and protein levels of ANGPTL4 in the ventricular tissues and cardiomyocytes of mice treated with LPS were significantly increased ( P<0.05). After transfection of the silencing and overexpression vectors of ANGPTL4 in cardiomyocytes, it was found that compared with NC, the mRNA and protein expression levels of ANGPTL4 in the si-ANGPTL4 group significantly decreased ( P<0.05), the vitality of ventricular myocytes increased ( P<0.05), the expressions of apoptosis-related factors Bax and Caspase 3 significantly decreased ( P<0.05), and the expression of Bcl-2 significantly increased ( P<0.05), and the number of apoptotic cells significantly decreased ( P<0.05); while the transfection of the overexpression vector of ANGPTL4 showed an opposite trend. Conclusions:In septic myocardial tissue and cardiomyocyte, the expression of ANGPTL4 is elevated, resulting in the inhibition of ventricular myocyte viability and the promotion of cardiomyocyte apoptosis.

Methods: First, this paper establishes a dataset of abnormal morphology for Chinese medicine diagnosis, with images from public resources and labeled with category labels by several Chinese medicine experts, including three categories: normal, shoulder abnormality, and leg abnormality. Second, the key points of human body are extracted by Light-Atten-Pose algorithm. Light-Atten-Pose algorithm uses lightweight EfficientNet network and polarized self-attention (PSA) mechanism on the basis of AlphaPose, which reduces the computation amount by using EfficientNet network, and the data is finely processed by using PSA mechanism in spatial and channel dimensions. Finally, according to the theory of TCM inspection, the abnormal morphology standard based on the joint angle difference is defined, and the classification of abnormal morphology of Chinese medical diagnosis is realized by calculating the angle between key points. Accuracy, frames per second (FPS), model size, parameter set (Params), and giga floating-point operations per second (GFLOPs) are chosen as the evaluation indexes for lightweighting. Results: Validation of the Light-Atten-Pose algorithm on the dataset showed a classification accuracy of 96.23%, which is close to the original AlphaPose model. However, the FPS of the improved model reaches 41.6 fps from 16.5 fps, the model size is reduced from 155.11 MB to 33.67 MB, the Params decreases from 40.5 M to 8.6 M, and the GFLOPs reduces from 11.93 to 2.10. Conclusion The Light-Atten-Pose algorithm achieves lightweight while maintaining high robustness, resulting in lower complexity and resource consumption and higher classification accuracy, and the experiments prove that the Light-Atten-Pose algorithm has a better overall performance and has practical application in the pose estimation task.

Objective:In the background of the national promotion of DIP insurance payment reform,using empirical data to evaluate the initial effects of payment reforms in typical traditional Chinese medicine hospitals.Methods:It collected inpatient case data from a Chinese medicine hospital in S city,encompassing a total of 207 500 cases from 2016 to 2022,and the differences between before and after the reform were analyzed using key indicators such as medical costs.Interrupted time series was applied to analyze the initial effects of the reform based on three intervention time points:reform implementation,epidemic development and static management.Logistic regression was applied to explore the main influencing factors,and recommendations for refinement were made based on the results of the key informant interviews.Results:It was found that the percentage of the high hospitalization cost group,high self-pay cost group and high bed-day cost group increased after the reform.There was an overall increasing trend in bed-day costs after the reform.Age,being married,operation times and average grade of operations,and death were the common influences.Conclusion:The initial stage of the DIP insurance payment reform was not effective in regulating medical costs.Demographic changes,strong intervention in epidemics,and the tendency of Chinese medicine hospitals to perform surgeries all tend to lead to an increase in hospitalization costs.At the same time,factors such as the shortage of policy interpretation and the lack of incentives for medical staff have affected the effectiveness of the reform.It was suggested that the DIP insurance payment reform of the Chinese medicine hospitals should be further promoted by strengthening the interpretation of policies and changing the solidification model,establishing positive incentives for medical staff,and adding indicators of traditional Chinese medicine characteristics.This will further fully leverage the advantages of Chinese medicine characteristics and enhance the substance and quality of Chinese medicine services.

Objective:In the background of the national promotion of DIP insurance payment reform,using empirical data to evaluate the initial effects of payment reforms in typical traditional Chinese medicine hospitals.Methods:It collected inpatient case data from a Chinese medicine hospital in S city,encompassing a total of 207 500 cases from 2016 to 2022,and the differences between before and after the reform were analyzed using key indicators such as medical costs.Interrupted time series was applied to analyze the initial effects of the reform based on three intervention time points:reform implementation,epidemic development and static management.Logistic regression was applied to explore the main influencing factors,and recommendations for refinement were made based on the results of the key informant interviews.Results:It was found that the percentage of the high hospitalization cost group,high self-pay cost group and high bed-day cost group increased after the reform.There was an overall increasing trend in bed-day costs after the reform.Age,being married,operation times and average grade of operations,and death were the common influences.Conclusion:The initial stage of the DIP insurance payment reform was not effective in regulating medical costs.Demographic changes,strong intervention in epidemics,and the tendency of Chinese medicine hospitals to perform surgeries all tend to lead to an increase in hospitalization costs.At the same time,factors such as the shortage of policy interpretation and the lack of incentives for medical staff have affected the effectiveness of the reform.It was suggested that the DIP insurance payment reform of the Chinese medicine hospitals should be further promoted by strengthening the interpretation of policies and changing the solidification model,establishing positive incentives for medical staff,and adding indicators of traditional Chinese medicine characteristics.This will further fully leverage the advantages of Chinese medicine characteristics and enhance the substance and quality of Chinese medicine services.

Objective:In the background of the national promotion of DIP insurance payment reform,using empirical data to evaluate the initial effects of payment reforms in typical traditional Chinese medicine hospitals.Methods:It collected inpatient case data from a Chinese medicine hospital in S city,encompassing a total of 207 500 cases from 2016 to 2022,and the differences between before and after the reform were analyzed using key indicators such as medical costs.Interrupted time series was applied to analyze the initial effects of the reform based on three intervention time points:reform implementation,epidemic development and static management.Logistic regression was applied to explore the main influencing factors,and recommendations for refinement were made based on the results of the key informant interviews.Results:It was found that the percentage of the high hospitalization cost group,high self-pay cost group and high bed-day cost group increased after the reform.There was an overall increasing trend in bed-day costs after the reform.Age,being married,operation times and average grade of operations,and death were the common influences.Conclusion:The initial stage of the DIP insurance payment reform was not effective in regulating medical costs.Demographic changes,strong intervention in epidemics,and the tendency of Chinese medicine hospitals to perform surgeries all tend to lead to an increase in hospitalization costs.At the same time,factors such as the shortage of policy interpretation and the lack of incentives for medical staff have affected the effectiveness of the reform.It was suggested that the DIP insurance payment reform of the Chinese medicine hospitals should be further promoted by strengthening the interpretation of policies and changing the solidification model,establishing positive incentives for medical staff,and adding indicators of traditional Chinese medicine characteristics.This will further fully leverage the advantages of Chinese medicine characteristics and enhance the substance and quality of Chinese medicine services.

Objective:In the background of the national promotion of DIP insurance payment reform,using empirical data to evaluate the initial effects of payment reforms in typical traditional Chinese medicine hospitals.Methods:It collected inpatient case data from a Chinese medicine hospital in S city,encompassing a total of 207 500 cases from 2016 to 2022,and the differences between before and after the reform were analyzed using key indicators such as medical costs.Interrupted time series was applied to analyze the initial effects of the reform based on three intervention time points:reform implementation,epidemic development and static management.Logistic regression was applied to explore the main influencing factors,and recommendations for refinement were made based on the results of the key informant interviews.Results:It was found that the percentage of the high hospitalization cost group,high self-pay cost group and high bed-day cost group increased after the reform.There was an overall increasing trend in bed-day costs after the reform.Age,being married,operation times and average grade of operations,and death were the common influences.Conclusion:The initial stage of the DIP insurance payment reform was not effective in regulating medical costs.Demographic changes,strong intervention in epidemics,and the tendency of Chinese medicine hospitals to perform surgeries all tend to lead to an increase in hospitalization costs.At the same time,factors such as the shortage of policy interpretation and the lack of incentives for medical staff have affected the effectiveness of the reform.It was suggested that the DIP insurance payment reform of the Chinese medicine hospitals should be further promoted by strengthening the interpretation of policies and changing the solidification model,establishing positive incentives for medical staff,and adding indicators of traditional Chinese medicine characteristics.This will further fully leverage the advantages of Chinese medicine characteristics and enhance the substance and quality of Chinese medicine services.

Objective:In the background of the national promotion of DIP insurance payment reform,using empirical data to evaluate the initial effects of payment reforms in typical traditional Chinese medicine hospitals.Methods:It collected inpatient case data from a Chinese medicine hospital in S city,encompassing a total of 207 500 cases from 2016 to 2022,and the differences between before and after the reform were analyzed using key indicators such as medical costs.Interrupted time series was applied to analyze the initial effects of the reform based on three intervention time points:reform implementation,epidemic development and static management.Logistic regression was applied to explore the main influencing factors,and recommendations for refinement were made based on the results of the key informant interviews.Results:It was found that the percentage of the high hospitalization cost group,high self-pay cost group and high bed-day cost group increased after the reform.There was an overall increasing trend in bed-day costs after the reform.Age,being married,operation times and average grade of operations,and death were the common influences.Conclusion:The initial stage of the DIP insurance payment reform was not effective in regulating medical costs.Demographic changes,strong intervention in epidemics,and the tendency of Chinese medicine hospitals to perform surgeries all tend to lead to an increase in hospitalization costs.At the same time,factors such as the shortage of policy interpretation and the lack of incentives for medical staff have affected the effectiveness of the reform.It was suggested that the DIP insurance payment reform of the Chinese medicine hospitals should be further promoted by strengthening the interpretation of policies and changing the solidification model,establishing positive incentives for medical staff,and adding indicators of traditional Chinese medicine characteristics.This will further fully leverage the advantages of Chinese medicine characteristics and enhance the substance and quality of Chinese medicine services.