OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Occupational pneumoconiosis remains the most common occupational disease in China, with occupational mineral dust exposure being its primary causative factor. Although national standards for online monitoring and early warning systems of coal mine dust concentrations have been established, national occupational health standards for rapid and online monitoring of dust concentration and particle size distribution in other industries are still limited. Among dust concentration sensor technologies, the light scattering method is the preferred choice for online dust monitoring owing to its wide measurement range and low cost. The beta-ray absorption method is mature but highly sensitive to humidity. The electrostatic induction method offers high sensitivity, simple structure, and low maintenance costs but exhibits high errors in low-concentration dust monitoring. The tapered element oscillating microbalance method is highly sensitive but costly. Multi-sensor data fusion technology can improve monitoring reliability, however, mature domestic products are not yet available. For monitoring dust particle size distribution, sieving and sedimentation methods are cumbersome. The aerodynamic method shows broad prospects in the online monitoring of respirable dust but has obvious measurement errors for larger dust particles. The use of optical measurement method is limited by dust morphology and is not suitable for monitoring coal dust particle size distribution. The electrical mobility method is primarily applicable to submicron dust. Future research should focus on promoting the application of monitoring technology for respirable dust particle size distribution in online monitoring of industrial dust. By integrating Internet of Things, data mining, and artificial intelligence technologies, along with multi-sensor data fusion and numerical simulation, dust concentration prediction models can be established to achieve accurate dust concentration monitoring and early warning of exceedances. The advancements of technologies will provide scientific support for the assessment of industrial dust hazards and the prevention and control of occupational pneumoconiosis.

Objective To retrospectively analyze the clinical risk factors and prognosis of perioperative myocardial injury(MINS)in non-cardiac surgery patients admitted to the intensive care unit(ICU).Methods A total of 478 postoperative patients admitted to the Department of Intensive Medicine,Minhang Hospital,Fudan University from Jan 2020 to Dec 2023 were selected.They were divided into MINS group(n=302)and normal group(n=176)based on whether myocardial injury occurred within 7 days after surgery.The differences in clinical characteristics between the two groups were compared,and risk factors for perioperative myocardial injury were identified.Risk factors for mortality in the MINS group were analyzed with 30-day mortality as the clinical endpoint.Results The prevalence of acute physiology and chronic health evaluation Ⅱ(Apache Ⅱ)score,coronary artery disease,and chronic kidney disease were all higher in the MINS group than those in the normal group,with statistically significant differences(P<0.05).The proportion of emergency surgeries,co-infection,and perioperative hypotension were significantly different between the MINS group and the normal group(P<0.05).Multivariate logistic regression analysis revealed that chronic kidney disease,emergency surgery,co-infection,and intraoperative and postoperative hypotension were risk factors for MINS occurrence.Prognostic analysis indicated that perioperative hypotension was a risk factor for 30-day mortality in MINS patients.Conclusion MINS is closely associated with patients'underlying conditions,timing of surgery,and perioperative hypotension status,and especially perioperative hypotension affects the final outcomes.

Objective To explore the distribution patterns of traditional Chinese medicine(TCM)syndromes in patients with metabolic syndrome caused by antipsychotic drugs.Methods A standardized TCM syndrome survey was performed to collect diagnostic information from 160 patients diagnosed with metabolic syndrome due to antipsychotic drug use.Subsequent frequency analysis,cluster analysis,and Bayesian network analysis were carried out.The syndrome pattern distribution was ultimately determined through relevant literatures and expert opinions.Results Five TCM syndromes were identified through frequency,cluster,and Bayesian network analyses.The most common syndrome was qi deficiency with phlegm-dampness(30％),followed by spleen deficiency with phlegm-Heat(23.75％),qi and yin deficiency Pattern(21.88％),yin deficiency with damp-heat(17.50％),and stomach fire hyperactivity pattern(6.88％).Conclusion The pathogenesis of antipsychotics-induced metabolic syndrome involves a complex interplay of deficiency and excess factors.The primary disease is mainly located at the spleen and stomach,with involvement of the liver,kidney,and heart.Pathogenic factors include qi deficiency,yin deficiency,dampness,heat,pathogenic fire,and phlegm.

As population aging intensifies,stroke incidence is rising yearly.Complicated with neurological impairment,this condition often leads to motor dysfunction,affecting walking stability and coordination and severely impacting the patient's daily life and mental state.In recent years,digital technology-assisted walking rehabilitation training has shown great potential in post-stroke rehabilitation.By integrating modern digital technolo-gies such as virtual reality,intelligent feedback systems,and remote rehabilitation,this approach not only provides personalized rehabilitation plans but also promotes the recovery of walking function through immersive training,real-time feedback,and remote monitoring.This article reviews the application status,effectiveness,and limita-tions of digital-technology-assisted walking rehabilitation for post-stroke hemiplegic patients.It aims to clarify the new direction of post-stroke walking training and explore more effective rehabilitation methods to help patients regain their walking ability.

Objective To explore the short and long term efficacy of ultrasound therapy combined with muscle imbalance adjustment training in patients with adhesive capsulitis(AC) ofthe shoulder. Methods A total of 60 AC patients were divided into an observation group and a control group,both each consisting of 30 cases. The observation group underwentultrasound therapy along with muscle imbalance adjustment training,while the control group received acupuncture treatment,both for a duration of 20 days. The Visual Analogue Scale(VAS),goniom-eter for ROM,Manual Muscle Testing(MMT),Constant-Murley Shoulder Score,and modified Barthel index were used to access shoulder jointpain level,range of motion (ROM),peripheral muscle strength,shoulder joint func-tion,and daily living abilities,respectively. The Hamilton Anxiety Scale (HAMA) and Hamilton Depression Scale (HAMD) were utilized to evaluate the levels of anxiety and depression.All the assessments were conducted and compared between the two groups before treatment,at the end of treatment,and at 6 and 12 months after treatment. Results Both groups showed varying degrees of improvement in ROM,MMT,VAS,Constant-Murley score,modified Barthel index,and emotional status compared to pre-treatment. The observation group demonstrated superior outcomes in posterior shoulder extension strength,VAS,Constant-Murley score,modified Barthel index,HAMA,and HAMD scores at the end of treatment (P<0.05). At 6 months post-treatment,the observation group showed better shoulder joint flexion,extension,abduction,and adduction ROM,as well as muscle strength in flexion,external rotation,and internal rotation,VAS,Constant-Murley score,modified Barthel index,HAMA,and HAMD scores. At 12 months after treatment,the observation group continued to show superior outcomes in all the aforementioned indexes (P<0.05). Conclusion The combination of ultrasound therapy and muscle imbalance adjustment training can effectively reduce shoulder joint pain,improve ROM,enhance muscle strength around the shoulder joint,improve shoulder joint function,alleviate anxiety and depression,and ultimately enhance the quality of life for patients with AC.

Objective To retrospectively analyze the clinical risk factors and prognosis of perioperative myocardial injury(MINS)in non-cardiac surgery patients admitted to the intensive care unit(ICU).Methods A total of 478 postoperative patients admitted to the Department of Intensive Medicine,Minhang Hospital,Fudan University from Jan 2020 to Dec 2023 were selected.They were divided into MINS group(n=302)and normal group(n=176)based on whether myocardial injury occurred within 7 days after surgery.The differences in clinical characteristics between the two groups were compared,and risk factors for perioperative myocardial injury were identified.Risk factors for mortality in the MINS group were analyzed with 30-day mortality as the clinical endpoint.Results The prevalence of acute physiology and chronic health evaluation Ⅱ(Apache Ⅱ)score,coronary artery disease,and chronic kidney disease were all higher in the MINS group than those in the normal group,with statistically significant differences(P<0.05).The proportion of emergency surgeries,co-infection,and perioperative hypotension were significantly different between the MINS group and the normal group(P<0.05).Multivariate logistic regression analysis revealed that chronic kidney disease,emergency surgery,co-infection,and intraoperative and postoperative hypotension were risk factors for MINS occurrence.Prognostic analysis indicated that perioperative hypotension was a risk factor for 30-day mortality in MINS patients.Conclusion MINS is closely associated with patients'underlying conditions,timing of surgery,and perioperative hypotension status,and especially perioperative hypotension affects the final outcomes.

As population aging intensifies,stroke incidence is rising yearly.Complicated with neurological impairment,this condition often leads to motor dysfunction,affecting walking stability and coordination and severely impacting the patient's daily life and mental state.In recent years,digital technology-assisted walking rehabilitation training has shown great potential in post-stroke rehabilitation.By integrating modern digital technolo-gies such as virtual reality,intelligent feedback systems,and remote rehabilitation,this approach not only provides personalized rehabilitation plans but also promotes the recovery of walking function through immersive training,real-time feedback,and remote monitoring.This article reviews the application status,effectiveness,and limita-tions of digital-technology-assisted walking rehabilitation for post-stroke hemiplegic patients.It aims to clarify the new direction of post-stroke walking training and explore more effective rehabilitation methods to help patients regain their walking ability.

Objective To explore the short and long term efficacy of ultrasound therapy combined with muscle imbalance adjustment training in patients with adhesive capsulitis(AC) ofthe shoulder. Methods A total of 60 AC patients were divided into an observation group and a control group,both each consisting of 30 cases. The observation group underwentultrasound therapy along with muscle imbalance adjustment training,while the control group received acupuncture treatment,both for a duration of 20 days. The Visual Analogue Scale(VAS),goniom-eter for ROM,Manual Muscle Testing(MMT),Constant-Murley Shoulder Score,and modified Barthel index were used to access shoulder jointpain level,range of motion (ROM),peripheral muscle strength,shoulder joint func-tion,and daily living abilities,respectively. The Hamilton Anxiety Scale (HAMA) and Hamilton Depression Scale (HAMD) were utilized to evaluate the levels of anxiety and depression.All the assessments were conducted and compared between the two groups before treatment,at the end of treatment,and at 6 and 12 months after treatment. Results Both groups showed varying degrees of improvement in ROM,MMT,VAS,Constant-Murley score,modified Barthel index,and emotional status compared to pre-treatment. The observation group demonstrated superior outcomes in posterior shoulder extension strength,VAS,Constant-Murley score,modified Barthel index,HAMA,and HAMD scores at the end of treatment (P<0.05). At 6 months post-treatment,the observation group showed better shoulder joint flexion,extension,abduction,and adduction ROM,as well as muscle strength in flexion,external rotation,and internal rotation,VAS,Constant-Murley score,modified Barthel index,HAMA,and HAMD scores. At 12 months after treatment,the observation group continued to show superior outcomes in all the aforementioned indexes (P<0.05). Conclusion The combination of ultrasound therapy and muscle imbalance adjustment training can effectively reduce shoulder joint pain,improve ROM,enhance muscle strength around the shoulder joint,improve shoulder joint function,alleviate anxiety and depression,and ultimately enhance the quality of life for patients with AC.

Objective To explore the distribution patterns of traditional Chinese medicine(TCM)syndromes in patients with metabolic syndrome caused by antipsychotic drugs.Methods A standardized TCM syndrome survey was performed to collect diagnostic information from 160 patients diagnosed with metabolic syndrome due to antipsychotic drug use.Subsequent frequency analysis,cluster analysis,and Bayesian network analysis were carried out.The syndrome pattern distribution was ultimately determined through relevant literatures and expert opinions.Results Five TCM syndromes were identified through frequency,cluster,and Bayesian network analyses.The most common syndrome was qi deficiency with phlegm-dampness(30％),followed by spleen deficiency with phlegm-Heat(23.75％),qi and yin deficiency Pattern(21.88％),yin deficiency with damp-heat(17.50％),and stomach fire hyperactivity pattern(6.88％).Conclusion The pathogenesis of antipsychotics-induced metabolic syndrome involves a complex interplay of deficiency and excess factors.The primary disease is mainly located at the spleen and stomach,with involvement of the liver,kidney,and heart.Pathogenic factors include qi deficiency,yin deficiency,dampness,heat,pathogenic fire,and phlegm.