Objective:To understand the occurrence of different patterns of multimorbidity among children and adolescents aged 9-18 in Tianjin City and analyze the cumulative effects of lifestyle on these patterns of multimorbidity.Methods:From September to November 2022, a stratified cluster random sampling method was used to select students from primary schools, junior high schools, general high schools, and vocational schools in 16 districts of Tianjin to screen for height, weight, blood pressure, distant vision, and diopter. One year later, a follow-up measurement and questionnaire survey were conducted. The log-binomial model was used to analyze the strength of the association between lifestyle factors and different patterns of multimorbidity.Results:The age of 9 488 students was (12.37±2.49) years old, including 4 999 boys and 4 489 girls. The detection rates of three patterns of multimorbidity of overweight obesity and high blood pressure, overweight obesity and myopia, and overweight obesity with high blood pressure and myopia were 6.63%, 9.32%, and 4.21%, respectively. The detection rates of the three types of multimorbidity in boys were higher than those in girls (all P<0.001). The detection rate of overweight obesity and high blood pressure in suburban areas was higher than that in urban areas ( P=0.002). The detection rate of overweight obesity and myopia in suburban areas was lower than that in urban areas ( P=0.034). The detection rate of overweight obesity and myopia among those aged 9-12 years old was higher than other age groups (all P<0.001). The ARR (95% CI) for the association between favorable physical activity and the occurrence of overweight obesity and high blood pressure was 0.79 (0.68-0.92). The ARR (95% CI) for the association between favorable physical activity and the occurrence of overweight obesity with high blood pressure and myopia was 0.82 (0.67-0.99). Compared with children and adolescents with 0-2 favorable lifestyle factors, those with 4-5 favorable lifestyle factors had a lower risk of overweight obesity and high blood pressure ( ARR=0.84, 95% CI: 0.59-0.92). Conclusion:Boys aged 9-18 in Tianjin City are more prone to multimorbidity of overweight obesity and high blood pressure, overweight obesity and myopia, and overweight obesity with high blood pressure and myopia. Children and adolescents with 4-5 favorable lifestyle factors have a reduced risk of occurrence of overweight obesity and high blood pressure. Lifestyle has cumulative effects on multimorbidity of overweight obesity and high blood pressure.

Objective:To investigate the association between blood selenium levels and sex hormones in Chinese men aged 18-79 years.Methods:Data were derived from the China National Human Biomonitoring survey conducted in 2017-2018, with a final sample size of 5 414 men. General demographic characteristics, behavioral habits, and dietary frequency were collected through questionnaires and physical examinations. Fasting blood samples were collected to measure blood lead, serum testosterone, and estradiol levels. Complex sampling linear regression models were used to analyze the associations between blood selenium levels and testosterone, estradiol, and the testosterone/estradiol ratio, adjusting for confounding factors including age, education level, marital status, smoking status, alcohol consumption, seafood intake, soy product intake, protein supplement intake, BMI, and diabetes status.Results:The mean age of the 5 414 participants was (46.85±27.91) years; 4 774 (91.65%) were of Han ethnicity and 4 505 (86.68%) were married. The median ( Q1, Q3) blood selenium concentration in men was 97.80 (80.64, 116.99) μg/L. After adjusting for confounding factors, the complex sampling linear regression model revealed negative associations between blood selenium levels and both testosterone levels and the testosterone/estradiol ratio, with a significant linear trend ( Ptrend<0.05). Compared with the Q1 group, the β (95% CI) values for testosterone in the Q2, Q3, and Q4 groups were -0.02 (-0.06 to 0.02), -0.03 (-0.08 to 0.01), and -0.06 (-0.09 to -0.02), respectively. Similarly, the β (95% CI) values for the testosterone/estradiol ratio in the Q2, Q3, and Q4 groups were -0.01 (-0.03 to 0.02), -0.01 (-0.04 to 0.04), and -0.03 (-0.06 to -0.01), respectively. Subgroup analysis indicated stronger associations between blood selenium levels and testosterone/estradiol levels in non-smoking and obese men (BMI≥28 kg/m2). Conclusion:Blood selenium levels are negatively associated with testosterone levels and the testosterone/estradiol ratio in Chinese adult males.

Objective:To explore the association of blood and urinary cadmium levels with lipid profile levels and dyslipidemia in Chinese adults aged 18 to 79 years.Methods:Based on the China National Human Biomonitoring (CNHBM) program, a cross-sectional survey was conducted from 2017 to 2018 using a multi-stage stratified random sampling method, including a total of 10 713 adults aged 18 to 79 years. Data was obtained through questionnaires, physical examinations, biological sample collection, and laboratory testing. Multiple linear mixed effect model (MLMM) and generalized linear mixed effect model (GLMM) were used to analyze the association of blood and creatinine-corrected urinary cadmium levels with lipid profile levels as well as dyslipidemia among adults.Results:The age of 10 713 participants was (47.23±0.24) years, with 5 372 males accounting for 61.3% of the national population. The weighted mean±standard error (SE) of total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) was (5.21±0.03), (1.86±0.03), (2.96±0.03), and (1.43±0.01) mmol/L, respectively. The prevalence rate of hypercholesterolemia, hypertriglyceridemia, mixed hyperlipidemia, low HDL-C, and high LDL-C was 16.0%, 21.6%, 6.6%, 13.5%, and 10.0%, respectively. MLMM showed that, after adjusting for relevant confounders, log-transformed blood cadmium levels were positively associated with increased levels of TC, TG and LDL-C ( P<0.05). When blood cadmium levels were categorized into quartiles, compared to the lowest exposure group ( Q1), participants in the highest blood cadmium exposure group ( Q4) had increases of 0.19 (95% CI: 0.06, 0.32) mmol/L in TC and 0.25 (95% CI: 0.08, 0.43) mmol/L in TG. GLMM indicated that, after adjusting for confounders, higher blood cadmium exposure levels were associated with increased risks of hypercholesterolemia, hypertriglyceridemia, mixed hyperlipidemia, and high LDL-C ( P<0.05). Further analysis by quartiles showed that, compared to the blood cadmium Q1 exposure group, the OR value (95% CI) for the Q4 group was 1.53 (1.12, 2.08) for hypercholesterolemia, 1.54 (1.09, 2.17) for hypertriglyceridemia, 2.24 (1.47, 3.40) for mixed hyperlipidemia, and 1.49 (1.07, 2.09) for high LDL-C. Conclusion:The cadmium internal exposure levels are associated with blood lipid profile levels as well as the incidence of dyslipidemia in Chinese adults aged 18 to 79.

Objective:To understand the occurrence of different patterns of multimorbidity among children and adolescents aged 9-18 in Tianjin City and analyze the cumulative effects of lifestyle on these patterns of multimorbidity.Methods:From September to November 2022, a stratified cluster random sampling method was used to select students from primary schools, junior high schools, general high schools, and vocational schools in 16 districts of Tianjin to screen for height, weight, blood pressure, distant vision, and diopter. One year later, a follow-up measurement and questionnaire survey were conducted. The log-binomial model was used to analyze the strength of the association between lifestyle factors and different patterns of multimorbidity.Results:The age of 9 488 students was (12.37±2.49) years old, including 4 999 boys and 4 489 girls. The detection rates of three patterns of multimorbidity of overweight obesity and high blood pressure, overweight obesity and myopia, and overweight obesity with high blood pressure and myopia were 6.63%, 9.32%, and 4.21%, respectively. The detection rates of the three types of multimorbidity in boys were higher than those in girls (all P<0.001). The detection rate of overweight obesity and high blood pressure in suburban areas was higher than that in urban areas ( P=0.002). The detection rate of overweight obesity and myopia in suburban areas was lower than that in urban areas ( P=0.034). The detection rate of overweight obesity and myopia among those aged 9-12 years old was higher than other age groups (all P<0.001). The ARR (95% CI) for the association between favorable physical activity and the occurrence of overweight obesity and high blood pressure was 0.79 (0.68-0.92). The ARR (95% CI) for the association between favorable physical activity and the occurrence of overweight obesity with high blood pressure and myopia was 0.82 (0.67-0.99). Compared with children and adolescents with 0-2 favorable lifestyle factors, those with 4-5 favorable lifestyle factors had a lower risk of overweight obesity and high blood pressure ( ARR=0.84, 95% CI: 0.59-0.92). Conclusion:Boys aged 9-18 in Tianjin City are more prone to multimorbidity of overweight obesity and high blood pressure, overweight obesity and myopia, and overweight obesity with high blood pressure and myopia. Children and adolescents with 4-5 favorable lifestyle factors have a reduced risk of occurrence of overweight obesity and high blood pressure. Lifestyle has cumulative effects on multimorbidity of overweight obesity and high blood pressure.

Objective:To investigate the association between blood selenium levels and sex hormones in Chinese men aged 18-79 years.Methods:Data were derived from the China National Human Biomonitoring survey conducted in 2017-2018, with a final sample size of 5 414 men. General demographic characteristics, behavioral habits, and dietary frequency were collected through questionnaires and physical examinations. Fasting blood samples were collected to measure blood lead, serum testosterone, and estradiol levels. Complex sampling linear regression models were used to analyze the associations between blood selenium levels and testosterone, estradiol, and the testosterone/estradiol ratio, adjusting for confounding factors including age, education level, marital status, smoking status, alcohol consumption, seafood intake, soy product intake, protein supplement intake, BMI, and diabetes status.Results:The mean age of the 5 414 participants was (46.85±27.91) years; 4 774 (91.65%) were of Han ethnicity and 4 505 (86.68%) were married. The median ( Q1, Q3) blood selenium concentration in men was 97.80 (80.64, 116.99) μg/L. After adjusting for confounding factors, the complex sampling linear regression model revealed negative associations between blood selenium levels and both testosterone levels and the testosterone/estradiol ratio, with a significant linear trend ( Ptrend<0.05). Compared with the Q1 group, the β (95% CI) values for testosterone in the Q2, Q3, and Q4 groups were -0.02 (-0.06 to 0.02), -0.03 (-0.08 to 0.01), and -0.06 (-0.09 to -0.02), respectively. Similarly, the β (95% CI) values for the testosterone/estradiol ratio in the Q2, Q3, and Q4 groups were -0.01 (-0.03 to 0.02), -0.01 (-0.04 to 0.04), and -0.03 (-0.06 to -0.01), respectively. Subgroup analysis indicated stronger associations between blood selenium levels and testosterone/estradiol levels in non-smoking and obese men (BMI≥28 kg/m2). Conclusion:Blood selenium levels are negatively associated with testosterone levels and the testosterone/estradiol ratio in Chinese adult males.

Objective:To explore the association of blood and urinary cadmium levels with lipid profile levels and dyslipidemia in Chinese adults aged 18 to 79 years.Methods:Based on the China National Human Biomonitoring (CNHBM) program, a cross-sectional survey was conducted from 2017 to 2018 using a multi-stage stratified random sampling method, including a total of 10 713 adults aged 18 to 79 years. Data was obtained through questionnaires, physical examinations, biological sample collection, and laboratory testing. Multiple linear mixed effect model (MLMM) and generalized linear mixed effect model (GLMM) were used to analyze the association of blood and creatinine-corrected urinary cadmium levels with lipid profile levels as well as dyslipidemia among adults.Results:The age of 10 713 participants was (47.23±0.24) years, with 5 372 males accounting for 61.3% of the national population. The weighted mean±standard error (SE) of total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) was (5.21±0.03), (1.86±0.03), (2.96±0.03), and (1.43±0.01) mmol/L, respectively. The prevalence rate of hypercholesterolemia, hypertriglyceridemia, mixed hyperlipidemia, low HDL-C, and high LDL-C was 16.0%, 21.6%, 6.6%, 13.5%, and 10.0%, respectively. MLMM showed that, after adjusting for relevant confounders, log-transformed blood cadmium levels were positively associated with increased levels of TC, TG and LDL-C ( P<0.05). When blood cadmium levels were categorized into quartiles, compared to the lowest exposure group ( Q1), participants in the highest blood cadmium exposure group ( Q4) had increases of 0.19 (95% CI: 0.06, 0.32) mmol/L in TC and 0.25 (95% CI: 0.08, 0.43) mmol/L in TG. GLMM indicated that, after adjusting for confounders, higher blood cadmium exposure levels were associated with increased risks of hypercholesterolemia, hypertriglyceridemia, mixed hyperlipidemia, and high LDL-C ( P<0.05). Further analysis by quartiles showed that, compared to the blood cadmium Q1 exposure group, the OR value (95% CI) for the Q4 group was 1.53 (1.12, 2.08) for hypercholesterolemia, 1.54 (1.09, 2.17) for hypertriglyceridemia, 2.24 (1.47, 3.40) for mixed hyperlipidemia, and 1.49 (1.07, 2.09) for high LDL-C. Conclusion:The cadmium internal exposure levels are associated with blood lipid profile levels as well as the incidence of dyslipidemia in Chinese adults aged 18 to 79.

Objective:To search, screen and summarize the best evidence of screening and management of patients with post-stroke fatigue, and to provide basis for early identification of clinical staff.Methods:According to the "6S" pyramid model, the system searches for relevant evidence on post stroke fatigue screening and management from UpToDate, BMJ Best Practice, International Guidelines Collaboration Network, New Zealand Guidelines Collaboration Group, Ontario Registered Nurses Association website, Scottish Interhospital Guidelines Network, Joanna Briggs Institute Evidence Based Health Care Center database, and Yimaitong, National Stroke Foundation, Stroke Association, National Stroke Center, Cochrane Library, PubMed, Embase, CINAHL, CNKI, WanFang Datebase, VIP and CBM from January 2013 to March 2023 regarding screening and management of post stroke fatigue patients. Researchers screen literature, evaluate quality, and summarize evidence.Results:Fifteen articles were selected, including 1 clinical decision, 3 guidelines, 3 expert consensus, 2 evidence summary, 5 systematic review and 1 randomized controlled trial. A total of 22 best evidence items were summarized from seven aspects of screening assessment, risk factors, psychosocial intervention, activity and rest, health education, complementary therapy, and follow-up.Conclusions:The study summarized the best evidence for the screening and management of patients with post-stroke fatigue, so as to provide a more scientific and systematic approach to the management of post-stroke fatigue and provide a reference for improving the long-term quality of life of stroke patients.

Objective To investigate the genetic association between nonalcoholic fatty liver disease(NAFLD)and type 2 diabetes mellitus(T2DM)using bidirectional two-sample Mendelian randomization(MR),as well as the causal relationship between NAFLD and T2DM across different body mass index(BMI)categories.Methods The data were derived from genome-wide association studies conducted in European populations,with a sample size of 32 941 cases for NAFLD,312 646 cases for T2DM,and 681 275 cases for BMI.The univariate and multivariate MR methods were used to assess the bidirectional causal relationship between NAFLD and T2DM in the general population and across different BMI subtypes.The methods of inverse-variance weighting,MR-Egger regression,constrained maximum likelihood and model averaging,and weighted median were used to conduct the MR analysis,and MR-Pleiotropy Residual Sum and Outlier,radial MR,the MR-Egger intercept method,and the Cochrane Q test were used for sensitivity analysis.Results The univariate MR analysis revealed a bidirectional causal relationship between NAFLD and T2DM in the general population(forward analysis:odds ratio[OR]=9.75,95%confidence interval[CI]:2.57-37.00,P＜0.001;reverse analysis:OR=1.01,95%CI:1.00-1.01,P＜0.01).After adjustment for BMI,the multivariate MR analysis showed that the causal relationship between NAFLD and T2DM remained significant in the general population(OR=33.12,95%CI:7.57-144.95,P＜0.000 1).The subgroup analysis showed a causal relationship between NAFLD and T2DM across all BMI subtypes(lean subgroup:OR=12.19,95%CI:3.35-44.40,P＜0.001;overweight subgroup:OR=4.30,95%CI:1.69-10.92,P＜0.01;obese subgroup:OR=1.67,95%CI:1.14-2.44,P＜0.01).Conclusion This study reveals the causal relationship between NAFLD and T2DM in the general population of NAFLD and across different BMI subtypes from a genetic perspective.

From the perspectives of traditional Chinese medicine （TCM） information knowledge base and assisted decision-making knowledge base， the construction status， quality evaluation status and existing problems of current TCM knowledge bases have been sorted out. And based on the quality evaluation strategies and dimensions of know-ledge bases in other disciplines， the evaluation indexes for TCM knowledge base is discussed， and the evaluation framework is initially formed， providing ideas for the improvement of the TCM knowledge base evaluation system. In terms of the evaluation indexes， there are basic evaluation dimensions which include data sources， data collection， and data application. The specific evaluation dimension of the information-based knowledge base is data quality， while that of the assisted decision-making knowledge base is data matching. Except for the data application dimension which counts the valid data items in the database for calculation， other indexes are scored based on the qualitative evaluation of "yes"， "no" or "unknown". The basic evaluation score and the specific evaluation score are added to obtain the total score. The knowledge base is graded according to the score， and the results are presented in the form of grade plus number.

Objective: To investigate the comorbidity of myopia and scoliosis among primary and secondary school students in Tianjin, and to analyze the school environment risk factors contributing to these health issues, so as to provide a scientific basis for development effective prevention measures. Methods: A total of 41 654 primary and secondary school students from 16 districts of Tianjin were selected by stratified random cluster sampling from September to October 2023 to screen for myopia and scoliosis. Univariate analysis was performed to examine the data, followed by a bivariate multivariate Logistic regression model and cumulative effect analysis to explore the influencing factors of their comorbidity. Results: In 2023, the prevalence of comorbidity of screening positive myopia and scoliosis among primary and secondary school students in Tianjin was 2.65%. The prevalence was higher in suburban areas (3.26%) compared to urban areas (2.02%), higher among females (3.81%) compared to males (1.59%), and highest in high school students (6.17%) compared to middle school (4.19%) and primary school students (0.44%) (χ2=62.23, 198.69, 953.19, P<0.01). Logistic regression analysis showed that the number of physical education classes ≥3 per week, the number of eye health exercises at school ≥2 per day, outdoor activities between classes, teachers reminding to pay attention to reading and writing posture and strict eye standing posture were negatively correlated with the comorbidity of screening positive myopia and scoliosis (OR=0.66, 0.77, 0.71, 0.78, 0.74, P<0.05). Reading or electronic screen while lying or lying on the stomach was positively associated with the comorbidity of screening positive myopia and scoliosis (OR=1.77, P<0.05). Cumulative effect analysis showed that the cumulative score (4-7, 7-9, ≥10) was negatively correlated with the comorbidity of screening positive of myopia and scoliosis (OR=0.65, 0.55, 0.52, P<0.05). Conclusions The school environment support and students personal behavior habits in school are related to the comorbidity of comorbidity of screening positive myopia and scoliosis. Prevention and control of myopia and scoliosis should improve the environmental factors related to students health in school.