Objective To use AI-assisted motor dysfunction assessment for quantitative evaluation of motor function in Parkinson's disease(PD)and multiple system atrophy-Parkinsonian type(MSA-P)in order to achieve accurate differential diagnosis.Methods A total of 105 participants aged ≥60 years were consecutively enrolled from the First and Third Medical Centers of Chinese PLA General Hospital between January and September 2024.Based on diagnostic criteria,they were divided into a PD group(48 cases),a MSA-P group(31 cases),and a control group(26 cases).The general information was collected,and the motor function was evaluated with Move-ment Dysfunction Assessment Software in order to assess the diagnostic value of the AI-assisted assessment in differentiating between PD and MSA-P.Results Significantly differences were observed among the three groups in terms of facial expression indicators,bilateral finger tapping frequency,bilateral hand movement frequency,right hand movement amplitude change rate,bilat-eral palm flipping frequency,bilateral toe tapping frequency,freezing load of bilateral toe tapping,bilateral leg flexibility frequency,right leg flexibility amplitude change rate,freezing load of bilat-eral leg flexibility,upright extension angular velocity,turnaround time,forward step frequency,backward step frequency,forward average stride length,backward average stride length,forward average walking speed,backward average walking speed,forward average step width,backward average step width,bilateral postural tremor frequency,bilateral postural tremor maximum am-plitude,bilateral action tremor frequency,bilateral action tremor maximum amplitude,and com-parison of bilateral resting tremor frequency(P＜0.05,P＜0.01).The MSA-P group exhibited significantly lower blink frequency,maximum amplitude and frequency of facial tremors,upright extension angular velocity,and step frequency,while higher ratio of mouth opening duration and longer turnaround time when compared with the PD group(P＜0.05,P＜0.01).The AUC value of the combined nine motor function indicators and the five facial expression indicators in differ-entiating PD from MSA-P was 0.943(95％CI:0.895-0.991,P=0.000)and 0.925(95％CI:0.870-0.981,P=0.000),respectively,both better than that of individual indicators.Conclusion Combi-nation assessment of facial expression,posture,gait with AI assistance can contribute to the dif-ferential diagnosis of PD and MSA-P.

Objectives:This study aims to investigate the association between Chinese visceral adiposity index(CVAI)and the risk of cardiovascular disease(CVD),and explore the sex differences.Methods:Participants were screened from the three sub-cohorts of Prediction for Atherosclerotic Cardiovascular Disease Risk in China(China-PAR)project,baseline information on body measure and biochemistry examinations were collected from 1998,2000-2001,and 2007-2008,separately.Participants were followed up to 2015.Cohort-stratified Cox proportional risk models were used to analyze the relationship between CVAI,both in continuous(per standard deviation increase)and categorical(quartiles,with Q1 as reference)scales,and CVD risk in the total population,men and women.The multiplicative interaction between sex and CVAI on CVD risk were calculated.Restricted cubic spline regression was employed to investigate the dose-response relationship.Results:A total of 98 464 participants without CVD at baseline were included.During the 723 508 person-years of follow-up,3 605 CVD events were recorded.After multivariate adjustment,the HRs(95％CIs)of CVD were 1.25(1.20-1.29),1.09(1.04-1.15),and 1.54(1.46-1.64)for per standard deviation increment in CVAI in the general population,men and women,respectively.Besides,compared with Q1 group,the HRs(95％CIs)in Q4 group were 1.87(1.67-2.10),1.33(1.14-1.54)and 3.84(3.09-4.78),correspondingly,and the effect of CVAI on the risk of CVD was significantly higher in women than in men(Pinteraction<0.05).Additionally,there was a positive dose-response relationship between CVAI and the risk of CVD.Conclusions:Elevated CVAI is an independent risk factor for CVD,especially in women.

Objective To investigate the growth, development and health status of primary and secondary school students in Xinzhou District of Wuhan, and analyze the detection and change trend of common diseases in primary and secondary school students, and to provide a basis for relevant departments to formulate prevention and control measures of common diseases in students. Methods The monitoring data of common diseases and health influencing factors of primary and secondary school students in Xinzhou District from 2019 to 2022 were analyzed and compared according to different genders, different grades and ages. SPSS 20.0 software was used to analyze the data of detection rates of myopia, dental caries, obesity, malnutrition and abnormal spinal curvature. Results The overall detection rates of myopia, dental caries, malnutrition, obesity and abnormal spinal curvature were 57.00%, 58.45%, 4.60%, 14.91%, and 6.33%, respectively, in Xinzhou District from 2019 to 2022. The annual change rates were 7.22%, 15.10%, -2.72%, 13.29%, and 4.91%, respectively. The detection rates of myopia, dental caries, obesity and abnormal spinal curvature showed an increasing trend in each year (χ² ≥17.22, P<0.001). The detection rates of myopia and malnutrition increased with the increase of age and school level (both χ²≥42.37, P<0.001), while the opposite was true for the detection rates of dental caries and obesity (both χ²≥14.26, P<0.001). The detection rates of myopia and dental caries were higher in girls than in boys (both χ²≥33.66, P<0.001), while the detection rates of obesity and abnormal spinal curvature were higher in boys than in girls (both χ²≥8.22, P<0.005). The detection rates of myopia, dental caries, obesity and abnormal spinal curvature in 2019 were lower than those in 2020-2022 (χ²≥4.11, P<0.05), while the detection rates of malnutrition had decreased. Conclusion The growth, development and health status of primary and secondary school students in Xinzhou District are serious. The detection rate of common diseases such as myopia, dental caries, obesity and abnormal curvature of the spine is on the rise, which should be the focus of the surveillance work of common diseases in primary and secondary school students in the future, and comprehensive intervention measures are urgently needed to prevent and control these common diseases.

Objective:To investigate the relationship between lipid levels and cognitive impairment in the elderly Chinese population using prospective cohort data.Methods:Based on the China-PAR (Prediction for Atherosclerotic Cardiovascular Disease Risk in China) cohort, this study included 24 380 individuals aged ≥60 years who participated in the cognitive function follow-up survey from 2018 to 2019. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), with cognitive impairment defined according to different educational levels: MMSE ≤17 for illiterate individuals, MMSE ≤20 for those with primary education and MMSE ≤24 for those with secondary education or above. Multivariable linear regression and logistic regression models were employed to examine the associations between six baseline lipid indicators and cognitive scores, as well as cognitive impairment. Additionally, restricted cubic splines were used to explore the exposure-dose relationship between lipid levels and cognitive function.Results:The study population had a median follow-up time of 11.6 years, with a baseline age of (59.7±6.8) years. Among the participants, 9 510 (39.0%) were males, and the mean MMSE score was 24.7±6.8. A total of 3 887 individuals (15.9%) were identified as cognitively impaired. The results of multivariable linear regression and logistic regression indicated that total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) levels were not only significantly positively associated with cognitive scores but also significantly associated with a lower risk of cognitive impairment. Each 1 mmol/L increase in these lipid levels corresponded to β values (95% CI) of 0.267 (0.173-0.361), 0.385(0.271-0.499) and 0.331(0.231-0.431), respectively. Each 1 mmol/L increase in these lipid levels corresponded to odds ratio ( OR) (95% CI) values of 0.915 (0.876-0.956), 0.875 (0.830-0.923) and 0.886 (0.848-0.927), respectively. The dose-response curve demonstrated that the negative association was primarily observed within the guideline-recommended optimal lipid level range. Specifically, when LDL-C was less than 3.4 mmol/L and non-HDL-C was less than 4.1 mmol/L, the corresponding OR (95% CI) values were 0.859 (0.796-0.926) and 0.876 (0.818-0.939). Conclusion:Lipid levels exhibit a certain linear negative association with cognitive impairment in elderly Chinese adults, with LDL-C and non-HDL-C demonstrating a stronger effect, particularly within the guideline-recommended optimal range.

Objectives:To explore the independent and combined effects of sleep duration and physical activity(PA)on the incidence of cardiovascular disease(CVD).Methods:The study subjects were derived from three sub-cohorts of the China-PAR project.Information on sleep and PA was collected from the surveys conducted in 2007-2008,and the incidence and mortality data of CVD were obtained during the follow-up survey from 2012 to 2015.Sleep duration was categorized into≤6 h/d,>6-8 h/d,and>8 h/d,and the PA level was classified according to the tertiles of PA volume(MET-h/d).The Cox proportional hazards model stratified by cohort source was applied to estimate the associations of PA and sleep duration with CVD incidence,coronary heart disease(CHD)incidence,and stroke incidence.Results:A total of 93 933 participants were included.During an average follow-up of(5.82±0.98)years,3 862 CVD events were documented.Compared with the low PA group,the hazard ratios(HRs)and 95%confidence intervals(CIs)of the CVD incidence,CHD incidence,and stroke incidence for the high PA group were 0.73(0.65-0.82),0.62(0.49-0.77)and 0.88(0.76-1.01),respectively.A U-shaped relation between sleep duration and incidence of CVD and stroke was observed.Compared with those who slept for>6-8 h/d,the risk of CVD(HR[95%CI]:1.10[1.00-1.21],P=0.04)and stroke(HR[95%CI]:1.33[1.18-1.49],P<0.01)was higher among participants slept>8 h/d.The risk of CVD,CHD and stroke tended to be higher in the≤6 h/d sleep group.Compared with the high PA combined with>6-8 h/d,the risk of stroke was highest in the high PA combined with>8h/d sleep group(HR[95%CI]:1.74[1.37-2.22],P<0.05),while the risks of CVD(HR[95%CI]:1.69[1.39-2.04],P<0.05)and CHD(HR[95%CI]:1.99[1.41-2.81],P<0.05)were highest in the low PA combined with≤6 h/d sleep group.Conclusions:Adequate physical activity and appropriate sleep duration are associated with lower risk of morbidity from CVD,CHD and stroke.

Background::Statins are the first line of treatment for dyslipidemia, but their side effects often reduce medication compliance. Natto and red yeast rice are natural ingredients with lipid-lowering effects. However, the efficacy of Natto Red Yeast Rice (NRYR) supplement in combination with statins in regulating blood lipid levels has not been fully evaluated.Methods::A multicenter, double-blinded, randomized-controlled trial was conducted among individuals with low-density lipoprotein cholesterol (LDL-C) of 3.4 to 5.0 mmol/L at six sites in China, of those at moderate risk of cardiovascular disease (CVD) are prioritized. Participants are enrolled and randomly assigned into four groups by a combination of NRYR (or its placebo) and Simvastatin (or its placebo) in a ratio of 1:1:1:1. After examination at baseline, all participants underwent intervention for 3 months and two follow-up visits at 1 month and 3 months after the intervention. The primary outcome is the change in LDL-C level at 3 months, and secondary outcomes include changes in levels of other lipid profiles and biomarkers, as well as calculated 10-year CVD risk. A total of 1136 participants were randomly assigned, of whom 1110 received the intervention.Discussion::This study may provide new evidence for the efficacy of NRYR supplement in combination with statins to regulate lipid levels and optimize lipid management.Trial Registration::Chinese Clinical Trial Registry database: registration nos. ChiCTR2200064214, ChiCTR2200064215.

Background::Statins are the first line of treatment for dyslipidemia, but their side effects often reduce medication compliance. Natto and red yeast rice are natural ingredients with lipid-lowering effects. However, the efficacy of Natto Red Yeast Rice (NRYR) supplement in combination with statins in regulating blood lipid levels has not been fully evaluated.Methods::A multicenter, double-blinded, randomized-controlled trial was conducted among individuals with low-density lipoprotein cholesterol (LDL-C) of 3.4 to 5.0 mmol/L at six sites in China, of those at moderate risk of cardiovascular disease (CVD) are prioritized. Participants are enrolled and randomly assigned into four groups by a combination of NRYR (or its placebo) and Simvastatin (or its placebo) in a ratio of 1:1:1:1. After examination at baseline, all participants underwent intervention for 3 months and two follow-up visits at 1 month and 3 months after the intervention. The primary outcome is the change in LDL-C level at 3 months, and secondary outcomes include changes in levels of other lipid profiles and biomarkers, as well as calculated 10-year CVD risk. A total of 1136 participants were randomly assigned, of whom 1110 received the intervention.Discussion::This study may provide new evidence for the efficacy of NRYR supplement in combination with statins to regulate lipid levels and optimize lipid management.Trial Registration::Chinese Clinical Trial Registry database: registration nos. ChiCTR2200064214, ChiCTR2200064215.

Objective:To investigate the relationship between lipid levels and cognitive impairment in the elderly Chinese population using prospective cohort data.Methods:Based on the China-PAR (Prediction for Atherosclerotic Cardiovascular Disease Risk in China) cohort, this study included 24 380 individuals aged ≥60 years who participated in the cognitive function follow-up survey from 2018 to 2019. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), with cognitive impairment defined according to different educational levels: MMSE ≤17 for illiterate individuals, MMSE ≤20 for those with primary education and MMSE ≤24 for those with secondary education or above. Multivariable linear regression and logistic regression models were employed to examine the associations between six baseline lipid indicators and cognitive scores, as well as cognitive impairment. Additionally, restricted cubic splines were used to explore the exposure-dose relationship between lipid levels and cognitive function.Results:The study population had a median follow-up time of 11.6 years, with a baseline age of (59.7±6.8) years. Among the participants, 9 510 (39.0%) were males, and the mean MMSE score was 24.7±6.8. A total of 3 887 individuals (15.9%) were identified as cognitively impaired. The results of multivariable linear regression and logistic regression indicated that total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) levels were not only significantly positively associated with cognitive scores but also significantly associated with a lower risk of cognitive impairment. Each 1 mmol/L increase in these lipid levels corresponded to β values (95% CI) of 0.267 (0.173-0.361), 0.385(0.271-0.499) and 0.331(0.231-0.431), respectively. Each 1 mmol/L increase in these lipid levels corresponded to odds ratio ( OR) (95% CI) values of 0.915 (0.876-0.956), 0.875 (0.830-0.923) and 0.886 (0.848-0.927), respectively. The dose-response curve demonstrated that the negative association was primarily observed within the guideline-recommended optimal lipid level range. Specifically, when LDL-C was less than 3.4 mmol/L and non-HDL-C was less than 4.1 mmol/L, the corresponding OR (95% CI) values were 0.859 (0.796-0.926) and 0.876 (0.818-0.939). Conclusion:Lipid levels exhibit a certain linear negative association with cognitive impairment in elderly Chinese adults, with LDL-C and non-HDL-C demonstrating a stronger effect, particularly within the guideline-recommended optimal range.

Objectives:To explore the independent and combined effects of sleep duration and physical activity(PA)on the incidence of cardiovascular disease(CVD).Methods:The study subjects were derived from three sub-cohorts of the China-PAR project.Information on sleep and PA was collected from the surveys conducted in 2007-2008,and the incidence and mortality data of CVD were obtained during the follow-up survey from 2012 to 2015.Sleep duration was categorized into≤6 h/d,>6-8 h/d,and>8 h/d,and the PA level was classified according to the tertiles of PA volume(MET-h/d).The Cox proportional hazards model stratified by cohort source was applied to estimate the associations of PA and sleep duration with CVD incidence,coronary heart disease(CHD)incidence,and stroke incidence.Results:A total of 93 933 participants were included.During an average follow-up of(5.82±0.98)years,3 862 CVD events were documented.Compared with the low PA group,the hazard ratios(HRs)and 95%confidence intervals(CIs)of the CVD incidence,CHD incidence,and stroke incidence for the high PA group were 0.73(0.65-0.82),0.62(0.49-0.77)and 0.88(0.76-1.01),respectively.A U-shaped relation between sleep duration and incidence of CVD and stroke was observed.Compared with those who slept for>6-8 h/d,the risk of CVD(HR[95%CI]:1.10[1.00-1.21],P=0.04)and stroke(HR[95%CI]:1.33[1.18-1.49],P<0.01)was higher among participants slept>8 h/d.The risk of CVD,CHD and stroke tended to be higher in the≤6 h/d sleep group.Compared with the high PA combined with>6-8 h/d,the risk of stroke was highest in the high PA combined with>8h/d sleep group(HR[95%CI]:1.74[1.37-2.22],P<0.05),while the risks of CVD(HR[95%CI]:1.69[1.39-2.04],P<0.05)and CHD(HR[95%CI]:1.99[1.41-2.81],P<0.05)were highest in the low PA combined with≤6 h/d sleep group.Conclusions:Adequate physical activity and appropriate sleep duration are associated with lower risk of morbidity from CVD,CHD and stroke.

Objective To use AI-assisted motor dysfunction assessment for quantitative evaluation of motor function in Parkinson's disease(PD)and multiple system atrophy-Parkinsonian type(MSA-P)in order to achieve accurate differential diagnosis.Methods A total of 105 participants aged ≥60 years were consecutively enrolled from the First and Third Medical Centers of Chinese PLA General Hospital between January and September 2024.Based on diagnostic criteria,they were divided into a PD group(48 cases),a MSA-P group(31 cases),and a control group(26 cases).The general information was collected,and the motor function was evaluated with Move-ment Dysfunction Assessment Software in order to assess the diagnostic value of the AI-assisted assessment in differentiating between PD and MSA-P.Results Significantly differences were observed among the three groups in terms of facial expression indicators,bilateral finger tapping frequency,bilateral hand movement frequency,right hand movement amplitude change rate,bilat-eral palm flipping frequency,bilateral toe tapping frequency,freezing load of bilateral toe tapping,bilateral leg flexibility frequency,right leg flexibility amplitude change rate,freezing load of bilat-eral leg flexibility,upright extension angular velocity,turnaround time,forward step frequency,backward step frequency,forward average stride length,backward average stride length,forward average walking speed,backward average walking speed,forward average step width,backward average step width,bilateral postural tremor frequency,bilateral postural tremor maximum am-plitude,bilateral action tremor frequency,bilateral action tremor maximum amplitude,and com-parison of bilateral resting tremor frequency(P＜0.05,P＜0.01).The MSA-P group exhibited significantly lower blink frequency,maximum amplitude and frequency of facial tremors,upright extension angular velocity,and step frequency,while higher ratio of mouth opening duration and longer turnaround time when compared with the PD group(P＜0.05,P＜0.01).The AUC value of the combined nine motor function indicators and the five facial expression indicators in differ-entiating PD from MSA-P was 0.943(95％CI:0.895-0.991,P=0.000)and 0.925(95％CI:0.870-0.981,P=0.000),respectively,both better than that of individual indicators.Conclusion Combi-nation assessment of facial expression,posture,gait with AI assistance can contribute to the dif-ferential diagnosis of PD and MSA-P.