Objective:To examine the interaction between gender and the visceral adiposity index (VAI) in relation to the risk of type 2 diabetes mellitus (T2DM).Methods:This retrospective cohort study utilized data from the public Dryad database derived from the NAGALA (NAFLD in the Gifu Area, Longitudinal Analysis) project (1994-2016). Participants were stratified into quartiles based on VAI levels. A multivariate Cox proportional hazards regression model was employed to evaluate whether VAI independently predicts T2DM risk. Kaplan-Meier survival curves and receiver operating characteristic (ROC) curves were constructed for each VAI quartile. Subgroup analyses were conducted to examine associations across age and body mass index categories. Both multiplicative and additive interaction effects between gender and VAI were assessed. Additionally, gender-specific Cox models were fitted to further explore these associations.Results:A total of 15 453 participants [8 419 males and 7 034 females; mean age, (43.7±8.9) years] were included, with a median follow-up duration of 5.39 years. During follow-up, 373 participants (2.4%) developed T2DM. After adjustment for potential confounders, higher VAI levels were independently associated with increased T2DM risk ( HR=1.16; 95% CI 1.11-1.21), consistent with the results across VAI quartiles. Kaplan-Meier analysis revealed a significant trend of increasing T2DM incidence across VAI quartiles ( P<0.001). The area under the ROC curve for VAI in predicting T2DM at 3, 5, and 10 years was 0.755, 0.735, and 0.696, respectively. Sensitivity analyses showed that elevated VAI was associated with increased T2DM risk across all age and body mass index subgroups (all P<0.05). Regarding interaction analysis, the HR (95% CI) for the multiplicative interaction between VAI and gender was 1.22 (1.19-1.26). The relative excess risk of interaction was -1.08 (95% CI -2.96 to -0.06), the attributable proportion of interaction was -0.54 (95% CI -1.35 to -0.01), and the synergy index was 0.48 (95% CI 0.26-0.91), indicating a negative additive interaction. Using low-VAI women as the reference group, the risk of T2DM in high-VAI women was higher ( HR=2.53, 95% CI 1.59-4.02) compared to high-VAI men ( HR=2.01, 95% CI 1.49-2.72). In gender-specific analyses, increasing VAI remained significantly associated with elevated T2DM risk after adjustment in both females ( HR=1.43, 95% CI 1.21-1.68) and males ( HR=1.16; 95% CI 1.11-1.22), with consistent findings across VAI quartiles. Conclusions:VAI and gender demonstrated multiplicative and additive interaction in relation to T2DM risk. The association between increasing VAI and T2DM risk was more pronounced in women than in men.

Stroke-associated pneumonia(SAP),a frequent complication of stroke,adversely affects clinical outcomes and functional recovery.Identifying SAP risk factors and developing robust predictive models are critical for improving patient management.This article reviews recent research advances in SAP risk factors and risk prediction,emphasizes emerging risk factors-including sarcopenia epidemiology,gut microbiota dysbiosis,and thyroid dysfunction-and novel predictive approaches such as risk stratification scores,neuroimaging,biomarkers,and artificial intelligence.We aim to enhance clinical recognition of SAP to facilitate early intervention,reduce incidence,and optimize stroke prognosis.

Objective:To investigate the prevalence and risk factors of overweight and obesity among Chinese children aged 3-18 years from 11 provinces, antonomous regions, or municipalities.Methods:This national cross-sectional community health survey utilized a multistage stratified cluster-random sampling method to recruit 193 997 nationally representative participants from 11 provinces, autonomous regions, or municipalities between January 2017 and December 2019. All participants underwent physical examinations, and their caregivers completed questionnaires assessing participants′ dietary, lifestyle, familial, and perinatal information. Multilevel multinomial logistic regression models were employed to identify the potential risk factors.Results:The cohort comprised 193 997 children (102 178 boys, 91 819 girls),aged (10±4) years. Overall prevalence rates were 30 574(15.8%)overweight children and 17 217(8.9%) obesity children. Boys exhibited higher overweight and obesity rates than girls (17.0% (17 368/102 178) vs. 14.4% (13 206/102 178), 11.3% (11 553/91 819) vs. 6.2% (5 664/91 819), χ2=249.12,1 578.69,both P<0.001). The detection rates of obesity in Tanner stage 2 and 3 were the highest in boys and girls, with 13.4%(2 231/16 665) and 8.6%(880/10 221) respectively. Risk factors for obesity included parental overweight (paternal OR=2.34 and maternal OR=2.29), annual household income of 100 000-200 000 yuan (compared with<100 000 yuan, OR=1.04), higher paternal education (compared with below high school,high school and a college education OR=1.09,1.14), birth weight >4.0 kg (≤5 and>5 years old OR=1.74, 1.44,respectively), and western food consumption≥1 time/month (compared with<1, 1-2, 3-4,>4 times/month OR=1.36, 1.30, 1.67(≤5 years), 1.19, 1.16, 1.15 (>5 years), respectively) (all P<0.05). Conversely, coarse grain intake≥1 times/week (compared with<1 times/week, every day, 3-4, 1-2 times/week OR=0.74, 0.80, 0.71 (≤5 years), 0.75, 0.87, 0.90(>5 years), respectively, all P<0.05) was associated with reduced obesity risk. Conclusions:Obesity epidemiology in children demonstrates significant heterogeneity across age, gender, geographic regions, and pubertal stages. It is necessary to establish a personalized prevention and control strategy.

Objective:To investigate the reference intervals of serum uric acid levels in normal-weight children and analyze the factors influencing these levels.Methods:In this cross-sectional study, clinical data were collected from 7 910 normal-weight children, aged 1 month to 15 years, who underwent health check-ups at the Children′s Hospital of Zhejiang University School of Medicine between August 2013 and August 2023. Data included sex, age, pubertal signs, blood pressure, and serum uric acid levels. The participants were categorized into 4 age groups: 1-<12 months, 1-<6 years, 6-<11 years, and 11-<16 years, and were further analyzed by sex. The P5 and P95 percentiles of uric acid values were defined as the lower and upper limits of the reference interval, respectively. Correlation analysis and partial correlation analysis were used to assess the relationship between uric acid and other variables such as age, body mass index Z value, and Tanner stage. Multivariate linear regression was used to compare uric acid levels across gender and age groups, respectively. Results:Among the 7 910 children, the distribution across age groups was as follows: 562 (317 boys) in 1-<12 months, 4 120 (2 366 boys) in 1-<6 years, 2 357 (1 432 boys) in 6-<11 years, and 871 (536 boys) in 11-<16 years, the uric acid levels in boys were significantly higher than those in girls ( P<0.05). Uric acid levels exhibited a positive correlation with age ( r=0.47 , 0.20, both P<0.001), and a weak positive correlation with BMI Z-scores(both r=0.11, P<0.001). Among participants aged 6-<11 years and 11-<16 years, uric acid levels in boys were positively correlated with Tanner stage ( r=0.10, 0.27, both P<0.05), but no significant correlation was observed in girls (all P>0.05). The uric acid levels were significantly higher in boys than in girls in the 1-<12 months, 1-<6 years and 11-<16 years age groups (all P<0.05), but no significant gender difference was found in the 6-<11 years groups ( P>0.05). Uric acid levels exhibited statistically significant variations among age groups ( P<0.001). The reference intervals of uric acid values were as follows in 1-<12 months age group, 157-335 μmol/L for boys and 160-315 μmol/L for girls; in 1-<6 years age group, 180-359 μmol/L for boys and 180-355 μmol/L for girls; in 6-<11 years group, 190-375 μmol/L; in 11-<16 years age group, 237-480 μmol/L for boys and 218-410 μmol/L for girls. Conclusions:Reference intervals for uric acid varying significantly across different pediatric age groups. Sex, and pubertal development status are closely related to uric acid levels.

Stroke-associated pneumonia(SAP),a frequent complication of stroke,adversely affects clinical outcomes and functional recovery.Identifying SAP risk factors and developing robust predictive models are critical for improving patient management.This article reviews recent research advances in SAP risk factors and risk prediction,emphasizes emerging risk factors-including sarcopenia epidemiology,gut microbiota dysbiosis,and thyroid dysfunction-and novel predictive approaches such as risk stratification scores,neuroimaging,biomarkers,and artificial intelligence.We aim to enhance clinical recognition of SAP to facilitate early intervention,reduce incidence,and optimize stroke prognosis.

Objective:To investigate the prevalence and risk factors of overweight and obesity among Chinese children aged 3-18 years from 11 provinces, antonomous regions, or municipalities.Methods:This national cross-sectional community health survey utilized a multistage stratified cluster-random sampling method to recruit 193 997 nationally representative participants from 11 provinces, autonomous regions, or municipalities between January 2017 and December 2019. All participants underwent physical examinations, and their caregivers completed questionnaires assessing participants′ dietary, lifestyle, familial, and perinatal information. Multilevel multinomial logistic regression models were employed to identify the potential risk factors.Results:The cohort comprised 193 997 children (102 178 boys, 91 819 girls),aged (10±4) years. Overall prevalence rates were 30 574(15.8%)overweight children and 17 217(8.9%) obesity children. Boys exhibited higher overweight and obesity rates than girls (17.0% (17 368/102 178) vs. 14.4% (13 206/102 178), 11.3% (11 553/91 819) vs. 6.2% (5 664/91 819), χ2=249.12,1 578.69,both P<0.001). The detection rates of obesity in Tanner stage 2 and 3 were the highest in boys and girls, with 13.4%(2 231/16 665) and 8.6%(880/10 221) respectively. Risk factors for obesity included parental overweight (paternal OR=2.34 and maternal OR=2.29), annual household income of 100 000-200 000 yuan (compared with<100 000 yuan, OR=1.04), higher paternal education (compared with below high school,high school and a college education OR=1.09,1.14), birth weight >4.0 kg (≤5 and>5 years old OR=1.74, 1.44,respectively), and western food consumption≥1 time/month (compared with<1, 1-2, 3-4,>4 times/month OR=1.36, 1.30, 1.67(≤5 years), 1.19, 1.16, 1.15 (>5 years), respectively) (all P<0.05). Conversely, coarse grain intake≥1 times/week (compared with<1 times/week, every day, 3-4, 1-2 times/week OR=0.74, 0.80, 0.71 (≤5 years), 0.75, 0.87, 0.90(>5 years), respectively, all P<0.05) was associated with reduced obesity risk. Conclusions:Obesity epidemiology in children demonstrates significant heterogeneity across age, gender, geographic regions, and pubertal stages. It is necessary to establish a personalized prevention and control strategy.

Objective:To investigate the reference intervals of serum uric acid levels in normal-weight children and analyze the factors influencing these levels.Methods:In this cross-sectional study, clinical data were collected from 7 910 normal-weight children, aged 1 month to 15 years, who underwent health check-ups at the Children′s Hospital of Zhejiang University School of Medicine between August 2013 and August 2023. Data included sex, age, pubertal signs, blood pressure, and serum uric acid levels. The participants were categorized into 4 age groups: 1-<12 months, 1-<6 years, 6-<11 years, and 11-<16 years, and were further analyzed by sex. The P5 and P95 percentiles of uric acid values were defined as the lower and upper limits of the reference interval, respectively. Correlation analysis and partial correlation analysis were used to assess the relationship between uric acid and other variables such as age, body mass index Z value, and Tanner stage. Multivariate linear regression was used to compare uric acid levels across gender and age groups, respectively. Results:Among the 7 910 children, the distribution across age groups was as follows: 562 (317 boys) in 1-<12 months, 4 120 (2 366 boys) in 1-<6 years, 2 357 (1 432 boys) in 6-<11 years, and 871 (536 boys) in 11-<16 years, the uric acid levels in boys were significantly higher than those in girls ( P<0.05). Uric acid levels exhibited a positive correlation with age ( r=0.47 , 0.20, both P<0.001), and a weak positive correlation with BMI Z-scores(both r=0.11, P<0.001). Among participants aged 6-<11 years and 11-<16 years, uric acid levels in boys were positively correlated with Tanner stage ( r=0.10, 0.27, both P<0.05), but no significant correlation was observed in girls (all P>0.05). The uric acid levels were significantly higher in boys than in girls in the 1-<12 months, 1-<6 years and 11-<16 years age groups (all P<0.05), but no significant gender difference was found in the 6-<11 years groups ( P>0.05). Uric acid levels exhibited statistically significant variations among age groups ( P<0.001). The reference intervals of uric acid values were as follows in 1-<12 months age group, 157-335 μmol/L for boys and 160-315 μmol/L for girls; in 1-<6 years age group, 180-359 μmol/L for boys and 180-355 μmol/L for girls; in 6-<11 years group, 190-375 μmol/L; in 11-<16 years age group, 237-480 μmol/L for boys and 218-410 μmol/L for girls. Conclusions:Reference intervals for uric acid varying significantly across different pediatric age groups. Sex, and pubertal development status are closely related to uric acid levels.

Objective:To examine the interaction between gender and the visceral adiposity index (VAI) in relation to the risk of type 2 diabetes mellitus (T2DM).Methods:This retrospective cohort study utilized data from the public Dryad database derived from the NAGALA (NAFLD in the Gifu Area, Longitudinal Analysis) project (1994-2016). Participants were stratified into quartiles based on VAI levels. A multivariate Cox proportional hazards regression model was employed to evaluate whether VAI independently predicts T2DM risk. Kaplan-Meier survival curves and receiver operating characteristic (ROC) curves were constructed for each VAI quartile. Subgroup analyses were conducted to examine associations across age and body mass index categories. Both multiplicative and additive interaction effects between gender and VAI were assessed. Additionally, gender-specific Cox models were fitted to further explore these associations.Results:A total of 15 453 participants [8 419 males and 7 034 females; mean age, (43.7±8.9) years] were included, with a median follow-up duration of 5.39 years. During follow-up, 373 participants (2.4%) developed T2DM. After adjustment for potential confounders, higher VAI levels were independently associated with increased T2DM risk ( HR=1.16; 95% CI 1.11-1.21), consistent with the results across VAI quartiles. Kaplan-Meier analysis revealed a significant trend of increasing T2DM incidence across VAI quartiles ( P<0.001). The area under the ROC curve for VAI in predicting T2DM at 3, 5, and 10 years was 0.755, 0.735, and 0.696, respectively. Sensitivity analyses showed that elevated VAI was associated with increased T2DM risk across all age and body mass index subgroups (all P<0.05). Regarding interaction analysis, the HR (95% CI) for the multiplicative interaction between VAI and gender was 1.22 (1.19-1.26). The relative excess risk of interaction was -1.08 (95% CI -2.96 to -0.06), the attributable proportion of interaction was -0.54 (95% CI -1.35 to -0.01), and the synergy index was 0.48 (95% CI 0.26-0.91), indicating a negative additive interaction. Using low-VAI women as the reference group, the risk of T2DM in high-VAI women was higher ( HR=2.53, 95% CI 1.59-4.02) compared to high-VAI men ( HR=2.01, 95% CI 1.49-2.72). In gender-specific analyses, increasing VAI remained significantly associated with elevated T2DM risk after adjustment in both females ( HR=1.43, 95% CI 1.21-1.68) and males ( HR=1.16; 95% CI 1.11-1.22), with consistent findings across VAI quartiles. Conclusions:VAI and gender demonstrated multiplicative and additive interaction in relation to T2DM risk. The association between increasing VAI and T2DM risk was more pronounced in women than in men.

ObjectiveTo investigate the levels of serum antibodies against novel coronavirus （SARS-CoV-2） in healthcare workers after one month of natural infection， to explore the influencing factors and their correlations with the levels of antibodies， and to provide reference for strengthening the protection of healthcare workers and preventive intervention in Pudong New Area in Shanghai. MethodsVenous blood samples were collected from 1 102 medical staff in Pudong hospitals one month after infection. The serum levels of new coronavirus specific antibodies IgM， IgG and neutralizing antibodies were detected by chemiluminescent immunoassay. The information of gender， age， position， infection severity， vaccination， basic diseases and use of immunosuppressants were obtained by questionnaire to explore the influencing factors and their correlation with the antibody level. ResultsOne month after natural infection， 99.00% （1 091/1 102） of the subjects were found to be positive for IgG antibody against the new coronavirus， 17.79% （196/1 102） of the subjects were IgM antibody positive， and 99.00% （1 091/1 102） of the samples were positive for the neutralizing antibody. The level of antibody might be influenced by the severity of infection， the time of the last dose of vaccination， and the long-term use of immunosuppressants. The more severe the disease， the stronger the neutralizing antibody response. The antibody level in the people who received the final dose of vaccine within 6 months was higher than that of the people who received the vaccine 6 months ago， and the difference was statistically significant. The antibody levels were low in the subjects who received long-term immunosuppressants. ConclusionThe specific IgM， IgG and neutralizing antibody were found， one month after infection， in the medical workers in Pudong New Area， Shanghai， and the antibody titers were high， which had a good protective effect. The antibody level of the people who were vaccinated within 6 months was higher， it is recommended that people who receive the last vacination more than 6 months should be re-vaccinated with the booster vaccine， to improve the autoimmunity against the novel coronavirus.

Objective:To investigate the medical narrative competence of pediatric staff, and analyze its influencing factors and correlation with psychological resilience, and to discuss strategies to improve narrative competence.Methods:From January 11 to February 25, 2022, by convenience sampling, we sampled pediatric personnel and those on refresher training at Children's Hospital, Zhejiang University School of Medicine for a questionnaire survey involving general information, the narrative competence scale, and the 14-item resilience scale. With the use of SPSS 26.0, the narrative competence of different populations was compared, and factors affecting narrative competence were determined through Pearson correlation analysis and multiple regression analysis.Results:A total of 361 valid questionnaires were included in this study, and there was significant differences in the narrative competence score between different ages, professional titles, working years, income levels, and whether they wrote parallel charts ( P<0.05). The total score of narrative competence of pediatric staffs was (147.13±18.76), and positively correlated with the total resilience score and the score of each dimension ( P≤0.001). The regression analysis showed that writing parallel charts and resilience could explain 53.10% of the variation in narrative competence ( P<0.001). Conclusions:Pediatric staff's narrative competence is at low or intermediate levels. Parallel chart writing and resilience training can improve narrative competence and promote a harmonious doctor-patient relationship.