Objective: Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders in children and adolescents, often accompanied by motor function disorders. Sarcopenia not only has skeletal muscle dysfunction but also has neurocognitive dysfunction. At present, there is no research to explore the relationship between ADHD and skeletal muscle function. The purpose of this study is to explore whether there is a causal effect between ADHD and sarcopenia. Methods: In this study, genome-wide association study data of ADHD, appendicular lean mass (ALM), hand grip strength, and walking pace (WP) were extracted from public databases. The bidirectional two-sample Mendelian randomization (MR) method was employed to investigate the correlation between ADHD and sarcopenia-related indicators, and the inverse-variance weighted analysis as the primary analysis method. Results: Based on the forward MR analysis, a potential causal relationship exists between ADHD and ALM (odds ratio [OR]=1.020, 95% confidence interval [CI]: 1.012–1.029, p<0.001). The reverse MR analysis indicates a link between WP and the risk of ADHD (OR=2.712, 95% CI: 1.609–4.571, p<0.001), with an accelerated WP increasing the likelihood of ADHD. Nevertheless, other MR analysis results did not show significant differences. Conclusion The findings of this study indicate an intricate causal relationship between ADHD and sarcopenia, suggesting the absence of a clear link. WP may be used as one of the indicators to evaluate the risk of ADHD. At the same time, we should pay more attention to the ALM of ADHD patients.

Objective: Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders in children and adolescents, often accompanied by motor function disorders. Sarcopenia not only has skeletal muscle dysfunction but also has neurocognitive dysfunction. At present, there is no research to explore the relationship between ADHD and skeletal muscle function. The purpose of this study is to explore whether there is a causal effect between ADHD and sarcopenia. Methods: In this study, genome-wide association study data of ADHD, appendicular lean mass (ALM), hand grip strength, and walking pace (WP) were extracted from public databases. The bidirectional two-sample Mendelian randomization (MR) method was employed to investigate the correlation between ADHD and sarcopenia-related indicators, and the inverse-variance weighted analysis as the primary analysis method. Results: Based on the forward MR analysis, a potential causal relationship exists between ADHD and ALM (odds ratio [OR]=1.020, 95% confidence interval [CI]: 1.012–1.029, p<0.001). The reverse MR analysis indicates a link between WP and the risk of ADHD (OR=2.712, 95% CI: 1.609–4.571, p<0.001), with an accelerated WP increasing the likelihood of ADHD. Nevertheless, other MR analysis results did not show significant differences. Conclusion The findings of this study indicate an intricate causal relationship between ADHD and sarcopenia, suggesting the absence of a clear link. WP may be used as one of the indicators to evaluate the risk of ADHD. At the same time, we should pay more attention to the ALM of ADHD patients.

Objective: Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders in children and adolescents, often accompanied by motor function disorders. Sarcopenia not only has skeletal muscle dysfunction but also has neurocognitive dysfunction. At present, there is no research to explore the relationship between ADHD and skeletal muscle function. The purpose of this study is to explore whether there is a causal effect between ADHD and sarcopenia. Methods: In this study, genome-wide association study data of ADHD, appendicular lean mass (ALM), hand grip strength, and walking pace (WP) were extracted from public databases. The bidirectional two-sample Mendelian randomization (MR) method was employed to investigate the correlation between ADHD and sarcopenia-related indicators, and the inverse-variance weighted analysis as the primary analysis method. Results: Based on the forward MR analysis, a potential causal relationship exists between ADHD and ALM (odds ratio [OR]=1.020, 95% confidence interval [CI]: 1.012–1.029, p<0.001). The reverse MR analysis indicates a link between WP and the risk of ADHD (OR=2.712, 95% CI: 1.609–4.571, p<0.001), with an accelerated WP increasing the likelihood of ADHD. Nevertheless, other MR analysis results did not show significant differences. Conclusion The findings of this study indicate an intricate causal relationship between ADHD and sarcopenia, suggesting the absence of a clear link. WP may be used as one of the indicators to evaluate the risk of ADHD. At the same time, we should pay more attention to the ALM of ADHD patients.

Objective: Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders in children and adolescents, often accompanied by motor function disorders. Sarcopenia not only has skeletal muscle dysfunction but also has neurocognitive dysfunction. At present, there is no research to explore the relationship between ADHD and skeletal muscle function. The purpose of this study is to explore whether there is a causal effect between ADHD and sarcopenia. Methods: In this study, genome-wide association study data of ADHD, appendicular lean mass (ALM), hand grip strength, and walking pace (WP) were extracted from public databases. The bidirectional two-sample Mendelian randomization (MR) method was employed to investigate the correlation between ADHD and sarcopenia-related indicators, and the inverse-variance weighted analysis as the primary analysis method. Results: Based on the forward MR analysis, a potential causal relationship exists between ADHD and ALM (odds ratio [OR]=1.020, 95% confidence interval [CI]: 1.012–1.029, p<0.001). The reverse MR analysis indicates a link between WP and the risk of ADHD (OR=2.712, 95% CI: 1.609–4.571, p<0.001), with an accelerated WP increasing the likelihood of ADHD. Nevertheless, other MR analysis results did not show significant differences. Conclusion The findings of this study indicate an intricate causal relationship between ADHD and sarcopenia, suggesting the absence of a clear link. WP may be used as one of the indicators to evaluate the risk of ADHD. At the same time, we should pay more attention to the ALM of ADHD patients.

Objective: Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders in children and adolescents, often accompanied by motor function disorders. Sarcopenia not only has skeletal muscle dysfunction but also has neurocognitive dysfunction. At present, there is no research to explore the relationship between ADHD and skeletal muscle function. The purpose of this study is to explore whether there is a causal effect between ADHD and sarcopenia. Methods: In this study, genome-wide association study data of ADHD, appendicular lean mass (ALM), hand grip strength, and walking pace (WP) were extracted from public databases. The bidirectional two-sample Mendelian randomization (MR) method was employed to investigate the correlation between ADHD and sarcopenia-related indicators, and the inverse-variance weighted analysis as the primary analysis method. Results: Based on the forward MR analysis, a potential causal relationship exists between ADHD and ALM (odds ratio [OR]=1.020, 95% confidence interval [CI]: 1.012–1.029, p<0.001). The reverse MR analysis indicates a link between WP and the risk of ADHD (OR=2.712, 95% CI: 1.609–4.571, p<0.001), with an accelerated WP increasing the likelihood of ADHD. Nevertheless, other MR analysis results did not show significant differences. Conclusion The findings of this study indicate an intricate causal relationship between ADHD and sarcopenia, suggesting the absence of a clear link. WP may be used as one of the indicators to evaluate the risk of ADHD. At the same time, we should pay more attention to the ALM of ADHD patients.

Objective:To assess the clinical value of nomogram based on high resolution magnetic resonance vessel wall imaging (HR-VWI) features in differentiating moyamoya disease (MMD) from atherosclerotic moyamoya syndrome (A-MMS).Methods:Eighty-four patients with digital subtraction angiography (DSA)-confirmed MMD and 73 patients with DSA-confirmed A-MMS were enrolled from Department of Medical Imaging, Affiliated Hospital of Jining Medical University from June 2020 to November 2023. All patients underwent HR-VWI. A retrospective analysis was performed on their imaging data. Univariate analysis was used to compare the differences in imaging characteristics between the two groups. Multivariate Logistic regression analysis was used to screen independent influencing factors for differentiating MMD from A-MMS and a nomogram was constructed accordingly. Receiver operating characteristic (ROC) curve and calibration curve were used to evaluate the validity and calibration of the nomogram.Results:Univariate analysis showed that age, pattern of vessel wall thickening, maximum vessel wall thickness, enhancement degree of vessel wall, vessel external diameter, ipsilateral anterior cerebral artery involvement and dot sign were statistically different between the two groups ( P<0.05). Multivariate Logistic regression analysis showed that age ( OR=6.990, 95% CI: 2.340-20.360, P<0.001), pattern of vessel wall thickening ( OR=0.066, 95% CI: 0.014-0.307, P<0.001), vessel external diameter ( OR=5.224, 95% CI: 1.672-16.324, P=0.005), ipsilateral anterior cerebral artery involvement ( OR=0.160, 95% CI: 0.038-0.679, P=0.013) and dot sign ( OR=0.081, 95% CI: 0.018-0.364, P=0.001) were independent influencing factors for differentiating MMD from A-MMS. ROC curve showed that area under the curve (AUC) of this nomogram was 0.884 (95% CI: 0.821-0.947, P<0.001), and the calibration curve showed a good fit between the predicted probability and actual probability. Conclusion:Nomogram based on HR-VWI features can effectively differentiate MMD from A-MMS.

Objective:To describe and analyze suicide risk of patients with schizophrenia,major depressive disorder,and bipolar disorder.Methods:A total of 2 016 patients with schizophrenia,903 patients with major de-pressive disorder,and 381 patients with bipolar disorder from inpatients,clinics,or communities who met the diag-nostic criteria of the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition were recruited.All patients were interviewed by psychiatrists using the Mini International Neuropsychiatric Interview to diagnose mental disor-ders and assess suicide risk,as well as Clinical-Rated Dimensions of Psychosis Symptom Severity(CRDPSS)to as-sess symptoms.Differences and risk factors of suicide risk among three types of mental disorders were explored u-sing multivariate logistic regression analysis.Results:In the past one month,37 patients with schizophrenia(1.8％),516 patients with major depressive disorder(57.1％),and 102 patients with bipolar disorder(26.8％)had suicide risk.Compared with patients with schizophrenia,suicide risk in patients with major depressive disorder(OR=36.50)and bipolar disorder(OR=20.10)increased.Female(OR=1.87),smoking(OR=1.76),family history of suicide(OR=5.09),higher score of CRDPSS hallucination(OR=1.80),and higher score of CRDPSS depression(OR=1.54)were risk factors of suicide risk of patients.Conclusions:Suicide risk of patients with ma-jor depressive disorder and bipolar disorder is higher than that of patients with schizophrenia.In clinical practice,it is important to regularly assess suicide risk of patients.Patients who experience symptoms of hallucination and de-pression should be paid more attention to.

Objective:To evaluate direct and indirect costs for schizophrenia,major depressive disorder(MDD)and bipolar disorder,and to compare their differences of cost composition,and to explore the drivers of the total costs.Methods:A total of 3 175 inpatients with schizophrenia,MDD,and bipolar disorder were recruited.In-patient's self-report total direct of medical costs outpatient and inpatient,out-of-pocket costs,and direct non-medical costs were regarded as direct costs.Productivity loss and other loss caused by damaging properties were defined as indirect costs.The perspectives of this study included individual and societal levels.Multivariate regression analysis was applied for detecting the factors influencing disease costs.Results:The total cost of schizophrenia was higher than those of MDD and bipolar disorder at individual and societal levels.The indirect costs of three mental disorders were higher than the direct costs,and the indirect cost ratio of bipolar disorder was higher than those of schizophre-nia and MDD.Age,gender,working condition and marital status(P＜0.05)were the important drivers of total costs.Conclusion:The economic burden of the three mental disorders is relatively heavy.Schizophrenia has heaviest disease burden,and the productivity loss due to mental disorders is the driving force of the soaring disease cost

Objective:To explore the clinical characteristics and related socio-demographic factors of schizo-phrenia patients with different ages of onset.Methods:Totally 2 016 patients with schizophrenia aged 15 to 70 were selected according to the diagnostic criteria for schizophrenia in the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition.All of the patients were interviewed by psychiatrists using the Mini International Neuropsy-chiatric Interview to diagnose schizophrenia,Clinical-Rated Dimensions of Psychosis Symptom Severity(CRDPSS)and the Positive and Negative Syndrome Scale(PANSS)to assess symptoms.The cut-off points were 18 and 25 years old for three age groups,i.e.early onset(EOS),youth onset(YOS)and adult onset(AOS).Statistical analy-ses were performed by analysis of variance Pearson correlation analysis,and multivariate linear regression.Results:The early-onset patients had the highest total PANSS score(73.8±28.0)and CRDPSS score(11.7±5.4).Fe-male gender,high education level,Han ethnicity,early onset age,and slower onset of illness were negatively corre-lated with the total and dimension score of PANSS scale and CRDPSS scale(standardized regression coefficient:0.04-0.47),and income level and smoking were negatively correlated with those score(standardized regression coefficient:-0.04--0.14).Conclusion:Early-onset schizophrenia patients have more severe symptoms,and fe-male,high education level,early-onset disease,and chronic onset are the risk factors of symptom severity in patients with schizophrenia.

Objective:To describe demographic,clinical and physiological characteristics,treatment between first-episode major depressive disorder(MDD)and relapse MDD,and to explore characteristics of relapse MDD.Methods:Totally 858 patients who met the diagnostic criteria for depression of the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5),were included by using the Mini International Neuropsychiatric Interview(MINI),Clinician-Rated Dimensions of Psychosis Symptom Severity,and Hamilton Depression Scale etc.Among them,529(58.6％)were first-episode depression and 329(36.0％)were relapsed.The differences of demographic characteristics,clinical and physiological characteristics,treatment were compared byx2test and Kruskal-Wallis rank sum test.Multivariate logistic regression was used to explore the characteristics of MDD recur-rence.Results:Compared to first-episode MDD,relapse MDD had more comorbidity(OR=2.11,95％CI:1.00-4.44),more days out of role(OR=1.26,95％CI:1.01-1.56),more history of using psychiatric drug more than one month(OR=1.41,95％CI:1.02-1.97)and electroconvulsive therapy(OR=3.23,95％CI:1.42-7.36),and higher waist-hip ratio(OR=33.88,95％CI:2.88-399.32).Conclusion:Relapse MDD has positive as-sociation with comorbidity of mental disorders,out of role,and higher waist-hip ratio.