ObjectiveTo analyze the epidemiological characteristics of long COVID and to investigate its main influencing factors by examining individuals infected with SARS-CoV-2 between March and June 2022 in two communities in Shanghai, to lay the foundation for further research on the mechanism and clinical treatment of long COVID, and to provide the basis for the development of inexpensive, convenient, and feasible prevention and intervention strategies. MethodsA cross-sectional study was conducted, enrolling 6 410 individuals infected with SARS-CoV-2. Data were collected through a questionnaire survey. The incidence and common symptoms of long COVID were analyzed, along with their associations with demographic characteristics, medical history, and behavioral factors. A logistic regression model was used to identify the major factors associated with the development of long COVID symptoms. ResultsThe overall incidence rate of long COVID among the study population was 13.9%. The most commonly reported symptoms included fatigue (65.1%), attention disorders (23.1%), and cough (16.9%). The analysis showed that having underlying chronic diseases (OR=2.580, 95%CI: 2.165‒3.074), a history of allergies (OR=1.418, 95%CI: 1.003‒1.971), current smoking (OR=1.461, 95%CI: 1.013‒2.079), ever smoking (OR=2.462, 95%CI: 1.687‒3.551), a greater number of symptoms during the acute phase [1 symptom (OR=1.778, 95%CI: 1.459‒2.162), 2 symptoms (OR=2.749, 95%CI: 2.209‒3.409), ≥3 symptoms (OR=7.792, 95%CI: 6.333‒9.593)] and aggravated symptoms during the acute phase (OR=1.082, 95%CI: 1.070‒1.094) were factors associated with a higher risk of developing long COVID symptoms. Additionally, individuals who had consumed alcohol in the past year (OR=1.914, 95%CI: 1.344‒2.684) were more prone to objective long COVID symptoms. Among individuals under 50 years of age, females (OR=1.427, 95%CI: 1.052‒1.943) were more likely to develop objective long COVID symptoms. ConclusionThis study has identified the diversity of long COVID symptoms, which involve multiple organs and systems, including fatigue, attention disorders, cough, and joint pain. It has also revealed associations between long COVID and various demographic factors (e.g., age, gender), personal medical history (e.g., underlying chronic diseases, history of allergies), acute-phase characteristics (e.g., number and severity of symptoms), and behavioral factors (e.g., smoking, alcohol consumption). These findings highlight the need for further research and ongoing surveillance of long COVID and may inform the development of more targeted health management strategies for specific populations.

Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.

Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.

Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.

Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.

Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.

Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.

Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.

Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.

Objective:To investigate dietary patterns of individuals aged ≥50 in Shanghai and analyze their association with frailty.Methods:Using data from the third wave of the Study on Global Ageing and Adult Health in Shanghai conducted between 2018 and 2019. We collected the frequency and average intake of food by the food frequency questionnaire. Factor analysis was used to extract dietary patterns, and a frailty index was constructed using the ratio of the cumulative total score of health deficits to 35 health-related variables considered. We used an ordinal multinomial logistic regression model to analyze the association between dietary patterns and frailty.Results:A total of 3 274 participants aged (67.9±9.2) years were included in the study, including 1 971 (60.2%) men and 1 303 (39.8%) women. We extracted four dietary patterns: high-protein-nuts pattern, potato-bean-vegetable-fruit pattern, poultry-meat pattern, and high-oil-salt pattern. After adjusting for confounding factors, the logistic regression analysis showed that compared with the high-oil-salt pattern, the high-protein-nuts pattern was negatively associated with the risk of higher frailty ( OR=0.743, 95% CI: 0.580-0.951). We did not find an association between dietary patterns and frailty between the different gender groups. In the age group 50-64, the high-protein-nuts and potato-bean-vegetable-fruit patterns were negatively correlated with a higher degree of frailty than the high-oil-salt pattern. In the low-level physical activity group, the high-protein-nuts pattern was negatively correlated with a higher degree of frailty than the high-oil-salt pattern ( OR=0.509, 95% CI: 0.361-0.720). However, we found no significant effect of the high-protein nuts pattern, potato-bean-vegetable-fruit pattern, and poultry-meat pattern on the risk of higher frailty compared to the high-oil-salt pattern in the moderate to high level of physical activity group. Conclusions:Compared to the high-oil-salt pattern, dietary patterns with a higher intake of high-protein nuts, potatoes, legumes, and fruits and vegetables might be associated with a lower risk of higher frailty in residents aged 50-64 years of age than with a high oil and salt pattern. At the same time, it may have a more significant protective effect in people with lower physical activity levels. It is suggested that a diet rich in high-protein foods, nuts, potatoes, beans, vegetables, and fruits may help reduce and delay the risk of frailty.