ObjectiveTo investigate the effects and potential mechanisms of morning and evening fasting on postprandial lipid responses, a post hoc analysis based on a crossover randomized controlled trial was conducted to assess the effects of different fasting strategies on postprandial lipid metabolism in community residents in Shanghai. MethodsA total of 23 participants took part in a randomized crossover trial involving two intervention days: morning fasting and evening fasting, with a washout period of 6 days between intervention days. Two-way analysis of variance was used to test the differences in total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and the relative expression of circadian clock genes before and after the next meal under fasting. Wilcoxon rank sum tests were used to analyze the different metabolites between the two groups. Principal component analysis and Orthogonal partial least squares-discriminant analysis were conducted to evaluate the ability of metabolites to differentiate between morning fasting and evening fasting and identify the important differential metabolites. After adjusting for age, sex, and BMI, a partial correlation analysis was performed to identify metabolites associated with plasma lipids. In addition, important metabolites associated with plasma lipids were computed by pathway enrichment analysis. ResultsAfter evening fasting intervention, fasting TG level [(0.37±0.29) vs (0.27±0.18)] mmol·L^-1, fasting and postprandial change values in TC [(2.74±0.47) vs (2.51±0.27)] mmol·L^-1 and LDL-C [(1.32±0.38) vs (0.99±0.27)] mmol·L^-1 were significantly lower than those after morning fasting (P<0.05). While, change values of fasting LDL-C [(0.89±0.37) vs (1.14±0.37)] mmol·L^-1 and TG [(1.14±0.19) vs (1.28±0.17)] mmol·L^-1 were significantly higher than those after morning fasting intervention (P<0.05). After fasting intervention, the relative expression of AMPK, CRY1, CLOCK, MTNR1B, AANAT, and ASMT was correlated with the amount of plasma lipid changes (P<0.05). Specifically, CLOCK and AANAT were upregulated following evening fasting and downregulated after morning fasting. Among the 217 important differential metabolites, 111 were correlated with plasma lipids, and which were primarily enriched in the cysteine and methionine metabolism pathways (P<0.05). ConclusionCompared to morning fasting, evening fasting was more effective in improving postprandial lipid responses, indicating that an evening fasting window during intermittent fasting could be conducive to cardiovascular disease prevention in adults. Meanwhile, it is suggested that morning and evening fasting may affect lipid responses through circadian rhythm oscillations and the cysteine and methionine metabolism pathways.

Background Lifestyle intervention or dietary modification has been the cornerstone of primary prevention and management of type 2 diabetes (T2D). Objective To investigate the associations of plant foods intake with the risk of incident T2D. Methods Based on a general population cohort, the Shanghai Suburban Adult Cohort and Biobank (SSACB), dietary data were collected for each participant in Songjiang District of Shanghai at enrollment with a validated Food Frequency Questionnaire (FFQ), and plant-based diet index (PDI), healthful plant-based diet index (hPDI), and unhealthful plant-based diet index (uPDI) were calculated. Incident T2D cases were identified according to physician diagnosis (fasting blood glucose ≥7.0 mmol·L⁻¹, or 2 h value during a 75-g oral glucose tolerance test ≥11.1 mmol·L⁻¹, or glycosylated hemoglobin ≥6.5%, or with typical symptoms of hyperglycemia or hyperglycemic crisis, accompanied by a random plasma glucose ≥11.1 mmol·L⁻¹) or medication records, obtained from the electronic information system for residents' medical insurance. Multivariable-adjusted Cox proportional hazards models and restricted cubic splines were used to evaluate the associations of foods from different sources with the risk of incident T2D. Results A total of 29016 participants [age at baseline (55.3±11.6) years] with a median follow-up duration of 5.688 years until 21 September 2022 were included. Plant foods (unprocessed) intake was associated with a decreased risk of incident T2D [HR (95%CI): 0.983 (0.969, 0.998)]. In comparison with participants in the highest quartile (≥859.3 g) of plant foods daily intake, the risk of incident T2D for those in the lowest quartile (<500.9 g) was higher [HR (95%CI): 1.250 (1.012, 1.544)]. No significant associations of animal foods [HR (95%CI): 1.006 (0.987, 1.026)] and processed foods [HR (95%CI): 0.978 (0.944, 1.014)] intakes were found with the risk of incident T2D. Replacing 50 g animal foods [HR (95%CI): 0.982 (0.968, 0.996)] or processed foods [HR (95%CI): 0.983 (0.969, 0.998)] with 50 g plant foods was associated with significantly decreased risks of incident T2D. Additionally, non-linear associations of PDI (P_nonlinear=0.023) and hPDI (P_nonlinear=0.016) with the risk of incident T2D were found in the SSACB. Conclusion Plant foods intake, especially healthful plant foods intake, is significantly associated with a decreased risk of incident T2D.

Objective:To investigate the internal structure and determinants of hospitalization expenses for uterine leiomyoma patients in DRG pilot and non-DRG pilot hospitals in Beijing,to fumish insights for the forthcoming phase of public hospital reform.Methods:The statistical data of 5 DRG pilot hospitals and 124 non-DRG pilot hospitals in Beijing from 2015 to 2021 were collected to analyze the correlation degree between each detail expense and the average hospitalization expense by using grey correlation analysis,and the influencing factors of the average hospitalization expense of hospitalized patients by using random forest model.Results:The results of the grey correlation analysis revealed that the highest correlations affecting hospitalization expense in the DRG pilot hospital group and the non-DRG pilot hospital group were the average expense in each surgical treatment and the average drug costs for each patient,respectively,and the lowest was the average expense of inspection and test in each patient.The results of random forest model showed that the top two influencing factors of DRG pilot hospital group were consumption ratio and the average length of hospitalization,while the average length of hospitalization,surgical treatment expense ratio and consumption ratio are more important than other influential factors of non-DRG pilot hospital group.Conclusion:DRG payment is conducive to optimizing the hospitalization expense structure of uterine leiomyoma hospitalized patients.The average length of hospitalization,consumption ratio,and surgical treatment expense ratio are important factors affecting the hospitalization expense of uterine leiomyoma hospitalized patients.Public hospitals should continue to optimize the expense structure in the future,pay equal attention to"reducing expenditure"and"open source",implement DRG payment and its supporting measures to enhance the efficiency of medical services,reinforce the comprehensive management of consumables,and empower hospitals and medical personnel.

Objective:To investigate the internal structure and determinants of hospitalization expenses for uterine leiomyoma patients in DRG pilot and non-DRG pilot hospitals in Beijing,to fumish insights for the forthcoming phase of public hospital reform.Methods:The statistical data of 5 DRG pilot hospitals and 124 non-DRG pilot hospitals in Beijing from 2015 to 2021 were collected to analyze the correlation degree between each detail expense and the average hospitalization expense by using grey correlation analysis,and the influencing factors of the average hospitalization expense of hospitalized patients by using random forest model.Results:The results of the grey correlation analysis revealed that the highest correlations affecting hospitalization expense in the DRG pilot hospital group and the non-DRG pilot hospital group were the average expense in each surgical treatment and the average drug costs for each patient,respectively,and the lowest was the average expense of inspection and test in each patient.The results of random forest model showed that the top two influencing factors of DRG pilot hospital group were consumption ratio and the average length of hospitalization,while the average length of hospitalization,surgical treatment expense ratio and consumption ratio are more important than other influential factors of non-DRG pilot hospital group.Conclusion:DRG payment is conducive to optimizing the hospitalization expense structure of uterine leiomyoma hospitalized patients.The average length of hospitalization,consumption ratio,and surgical treatment expense ratio are important factors affecting the hospitalization expense of uterine leiomyoma hospitalized patients.Public hospitals should continue to optimize the expense structure in the future,pay equal attention to"reducing expenditure"and"open source",implement DRG payment and its supporting measures to enhance the efficiency of medical services,reinforce the comprehensive management of consumables,and empower hospitals and medical personnel.

Objective:To investigate the internal structure and determinants of hospitalization expenses for uterine leiomyoma patients in DRG pilot and non-DRG pilot hospitals in Beijing,to fumish insights for the forthcoming phase of public hospital reform.Methods:The statistical data of 5 DRG pilot hospitals and 124 non-DRG pilot hospitals in Beijing from 2015 to 2021 were collected to analyze the correlation degree between each detail expense and the average hospitalization expense by using grey correlation analysis,and the influencing factors of the average hospitalization expense of hospitalized patients by using random forest model.Results:The results of the grey correlation analysis revealed that the highest correlations affecting hospitalization expense in the DRG pilot hospital group and the non-DRG pilot hospital group were the average expense in each surgical treatment and the average drug costs for each patient,respectively,and the lowest was the average expense of inspection and test in each patient.The results of random forest model showed that the top two influencing factors of DRG pilot hospital group were consumption ratio and the average length of hospitalization,while the average length of hospitalization,surgical treatment expense ratio and consumption ratio are more important than other influential factors of non-DRG pilot hospital group.Conclusion:DRG payment is conducive to optimizing the hospitalization expense structure of uterine leiomyoma hospitalized patients.The average length of hospitalization,consumption ratio,and surgical treatment expense ratio are important factors affecting the hospitalization expense of uterine leiomyoma hospitalized patients.Public hospitals should continue to optimize the expense structure in the future,pay equal attention to"reducing expenditure"and"open source",implement DRG payment and its supporting measures to enhance the efficiency of medical services,reinforce the comprehensive management of consumables,and empower hospitals and medical personnel.

Objective:To investigate the internal structure and determinants of hospitalization expenses for uterine leiomyoma patients in DRG pilot and non-DRG pilot hospitals in Beijing,to fumish insights for the forthcoming phase of public hospital reform.Methods:The statistical data of 5 DRG pilot hospitals and 124 non-DRG pilot hospitals in Beijing from 2015 to 2021 were collected to analyze the correlation degree between each detail expense and the average hospitalization expense by using grey correlation analysis,and the influencing factors of the average hospitalization expense of hospitalized patients by using random forest model.Results:The results of the grey correlation analysis revealed that the highest correlations affecting hospitalization expense in the DRG pilot hospital group and the non-DRG pilot hospital group were the average expense in each surgical treatment and the average drug costs for each patient,respectively,and the lowest was the average expense of inspection and test in each patient.The results of random forest model showed that the top two influencing factors of DRG pilot hospital group were consumption ratio and the average length of hospitalization,while the average length of hospitalization,surgical treatment expense ratio and consumption ratio are more important than other influential factors of non-DRG pilot hospital group.Conclusion:DRG payment is conducive to optimizing the hospitalization expense structure of uterine leiomyoma hospitalized patients.The average length of hospitalization,consumption ratio,and surgical treatment expense ratio are important factors affecting the hospitalization expense of uterine leiomyoma hospitalized patients.Public hospitals should continue to optimize the expense structure in the future,pay equal attention to"reducing expenditure"and"open source",implement DRG payment and its supporting measures to enhance the efficiency of medical services,reinforce the comprehensive management of consumables,and empower hospitals and medical personnel.

Objective:To investigate the internal structure and determinants of hospitalization expenses for uterine leiomyoma patients in DRG pilot and non-DRG pilot hospitals in Beijing,to fumish insights for the forthcoming phase of public hospital reform.Methods:The statistical data of 5 DRG pilot hospitals and 124 non-DRG pilot hospitals in Beijing from 2015 to 2021 were collected to analyze the correlation degree between each detail expense and the average hospitalization expense by using grey correlation analysis,and the influencing factors of the average hospitalization expense of hospitalized patients by using random forest model.Results:The results of the grey correlation analysis revealed that the highest correlations affecting hospitalization expense in the DRG pilot hospital group and the non-DRG pilot hospital group were the average expense in each surgical treatment and the average drug costs for each patient,respectively,and the lowest was the average expense of inspection and test in each patient.The results of random forest model showed that the top two influencing factors of DRG pilot hospital group were consumption ratio and the average length of hospitalization,while the average length of hospitalization,surgical treatment expense ratio and consumption ratio are more important than other influential factors of non-DRG pilot hospital group.Conclusion:DRG payment is conducive to optimizing the hospitalization expense structure of uterine leiomyoma hospitalized patients.The average length of hospitalization,consumption ratio,and surgical treatment expense ratio are important factors affecting the hospitalization expense of uterine leiomyoma hospitalized patients.Public hospitals should continue to optimize the expense structure in the future,pay equal attention to"reducing expenditure"and"open source",implement DRG payment and its supporting measures to enhance the efficiency of medical services,reinforce the comprehensive management of consumables,and empower hospitals and medical personnel.

Objective:To investigate the internal structure and determinants of hospitalization expenses for uterine leiomyoma patients in DRG pilot and non-DRG pilot hospitals in Beijing,to fumish insights for the forthcoming phase of public hospital reform.Methods:The statistical data of 5 DRG pilot hospitals and 124 non-DRG pilot hospitals in Beijing from 2015 to 2021 were collected to analyze the correlation degree between each detail expense and the average hospitalization expense by using grey correlation analysis,and the influencing factors of the average hospitalization expense of hospitalized patients by using random forest model.Results:The results of the grey correlation analysis revealed that the highest correlations affecting hospitalization expense in the DRG pilot hospital group and the non-DRG pilot hospital group were the average expense in each surgical treatment and the average drug costs for each patient,respectively,and the lowest was the average expense of inspection and test in each patient.The results of random forest model showed that the top two influencing factors of DRG pilot hospital group were consumption ratio and the average length of hospitalization,while the average length of hospitalization,surgical treatment expense ratio and consumption ratio are more important than other influential factors of non-DRG pilot hospital group.Conclusion:DRG payment is conducive to optimizing the hospitalization expense structure of uterine leiomyoma hospitalized patients.The average length of hospitalization,consumption ratio,and surgical treatment expense ratio are important factors affecting the hospitalization expense of uterine leiomyoma hospitalized patients.Public hospitals should continue to optimize the expense structure in the future,pay equal attention to"reducing expenditure"and"open source",implement DRG payment and its supporting measures to enhance the efficiency of medical services,reinforce the comprehensive management of consumables,and empower hospitals and medical personnel.

Objective:To investigate the internal structure and determinants of hospitalization expenses for uterine leiomyoma patients in DRG pilot and non-DRG pilot hospitals in Beijing,to fumish insights for the forthcoming phase of public hospital reform.Methods:The statistical data of 5 DRG pilot hospitals and 124 non-DRG pilot hospitals in Beijing from 2015 to 2021 were collected to analyze the correlation degree between each detail expense and the average hospitalization expense by using grey correlation analysis,and the influencing factors of the average hospitalization expense of hospitalized patients by using random forest model.Results:The results of the grey correlation analysis revealed that the highest correlations affecting hospitalization expense in the DRG pilot hospital group and the non-DRG pilot hospital group were the average expense in each surgical treatment and the average drug costs for each patient,respectively,and the lowest was the average expense of inspection and test in each patient.The results of random forest model showed that the top two influencing factors of DRG pilot hospital group were consumption ratio and the average length of hospitalization,while the average length of hospitalization,surgical treatment expense ratio and consumption ratio are more important than other influential factors of non-DRG pilot hospital group.Conclusion:DRG payment is conducive to optimizing the hospitalization expense structure of uterine leiomyoma hospitalized patients.The average length of hospitalization,consumption ratio,and surgical treatment expense ratio are important factors affecting the hospitalization expense of uterine leiomyoma hospitalized patients.Public hospitals should continue to optimize the expense structure in the future,pay equal attention to"reducing expenditure"and"open source",implement DRG payment and its supporting measures to enhance the efficiency of medical services,reinforce the comprehensive management of consumables,and empower hospitals and medical personnel.

In the context of delayed marriage and parenthood, decreased willingness in having children, and population aging in China, maternal and child health has become an important and urgent issue. Being essential platforms for research in maternal and child health, the importance of birth cohorts has been widely recognized. In the past 20 years, tens of birth cohorts have been established in major cities and regions of China, with cohorts ranging from thousands to hundreds of thousands. These cohorts, particularly those large ones launched in recent years, have collected a wide spectrum of data and biological samples from mothers and children. Although they have made considerable preliminary achievements, there remain difficulties and challenges. The significant challenges include small and medium-sized cohorts' lacking of clear research themes; insufficient recognition of and emphasis on behavioral and social determinants of health while emphasizing biological determinants of health; variations in types of variables and quality of data collected, which make it difficult for cohorts to be merged and shared; lack of and difficulties in long-term follow-up; significant uncertainties in resources for long-term sustention of the cohorts, and so on. So, we argue that birth cohorts should focus on essential and urgent issues in maternal and child health in the country and seek recognition and support from the government and the entire society. Last but not least, the overall success of birth cohorts in the country requires scientists to be not only academically capable, but also realistic, persistent, altruistic, and collaborative.