This paper summarizes Professor HAN Mingxiang's clinical experience in treating chronic obstructive pulmonary disease （COPD）. He believes that the key pathomechanism of COPD in the acute exacerbation stage is the invasion of external pathogens triggering latent illness， while lung qi deficiency is the primary mechanism in the stable stage. The core pathological factors throughout disease progression are deficiency， phlegm， and blood stasis. Treatment emphasizes a staged and syndrome-based approach. During the acute exacerbation stage， for wind-cold invading the lung syndrome， the self-formulated Sanzi Wenfei Decoction （三子温肺汤） is used to relieve the exterior， dispel cold， warm the lung， and resolve phlegm. For phlegm-dampness obstructing the lung syndrome， Huatan Jiangqi Fomulation （化痰降气方） is prescribed to warm the lung， transform phlegm， descend qi， and calm wheezing. For phlegm-heat obstructing the lung syndrome， Qingfei Huatan Fomulation （清肺化痰方） is applied to clear heat， resolve phlegm， moisten the lung， and stop coughing. For phlegm and blood stasis interlocking syndrome， Qibai Pingfei Fomulation （芪白平肺方） is used to tonify qi， resolve phlegm， and activate blood circulation to remove stasis. During the stable stage， for lung qi deficiency syndrome， Shenqi Wenfei Decoction （参芪温肺汤） is employed to warm the lung， tonify qi， resolve phlegm， and eliminate turbidity. For lung-spleen qi deficiency syndrome， Shenqi Buzhong Decoction （参芪补中汤） is utilized to strengthen the spleen， tonify qi， and reinforce metal （lung） from earth （spleen）. For lung-kidney deficiency syndrome， Shenqi Tiaoshen Fomulation （参芪调肾方） is prescribed to tonify the lung， warm yang， and regulate kidney function to calm wheezing. These strategies provide insights into the traditional Chinese medicine treatment of COPD.

This paper summarizes Professor HAN Mingxiang's clinical experience in the use of Zeqi （Euphorbia HelioscopiaL.）. It is believed that Zeqi （Euphorbia HelioscopiaL.） has the effects of promoting qi， relieving water retention and swelling， resolving phlegm， stopping cough， dissipating masses， activating blood， removing stasis， and detoxifying. In clinical practice， Zeqi （Euphorbia HelioscopiaL.） is flexibly applied in the treatment of skin diseases， respiratory diseases， tumors， etc. For instance， in treating psoriasis with the pathogenesis of damp-heat toxin， a compound prescription of Zeqi Decoction （泽漆汤） is formulated. For bronchial asthma with kidney deficiency and water retention， Zeqi Decoction is commonly combined with Wuling Powder （五苓散） in adjusted doses. For lung nodules with a combination of deficiency， phlegm， stasis， and toxin， a Lung Nodule Prescription is proposed. For advanced lung cancer with both qi and yin deficiency and toxin accumulation， Qiyu Sanlong Decoction （芪玉三龙汤） is suggested， and for cancer-related ascites with qi deficiency and water retention， Wuling Powder combined with Zeqi （Euphorbia HelioscopiaL.）is chosen.

Background In recent years, the increasingly widespread application of nuclear and medical radiation technologies has resulted in a large number of occupational populations exposed to low-dose ionizing radiation (LDIR). At present, there is no consistent conclusion on the effects of long-term exposure to LDIR on the metabolic health of the occupational population. Objective To explore the association between long-term exposure to LDIR and metabolic syndrome (MetS) among medical radiologists. Methods A cross-sectional study was conducted to enroll 6431 medical radiologists who ordered occupational health checkups from January 2022 to December 2023, and basic information such as demographic characteristics, occupational characteristics, lifestyles, and dietary habits was collected through questionnaires. Physical examinations were conducted using a standardized protocol. Individual dose equivalents of occupational external exposure were monitored by dosimeters worn by medical radiologists. Logistic regression model was used for identifying influencing factors of MetS and sensitivity analysis, and restricted cubic spline model was used to explore the dose-response relationship between cumulative effective dose and MetS. Two-stage linear regression was used to evaluate threshold effect of association between cumulative effective dose and MetS. Results The positive rate of MetS was 13.6% (877/6431) among the enrolled 6431 study participants. The logistic regression showed that gender, age, monthly income, body mass index (BMI), cumulative effective dose, and smoking were influencing factors for MetS. The risk of MetS was higher in males (OR=1.511, 95%CI: 1.209, 1.888); using the < 30 years old group as reference, the risk of MetS was higher in the 30-39 years old (OR=1.509, 95%CI: 1.095, 2.079), 40-49 years old (OR=2.214, 95%CI: 1.551, 3.161), and ≥50 years old (OR=3.480, 95%CI: 2.338, 5.181) groups; using the <10000 yuan group as reference, the risk of MetS was lower in the group with a monthly income of 10000-14999 yuan (OR=0.715, 95%CI: 0.582, 0.878); the risk of MetS was higher in the BMI ≥ 24 kg·m⁻² group (OR=7.548, 95%CI: 6.223, 9.156); using the < 0.76 mSv group as reference, the risk of MetS was higher in the cumulative effective dose of 0.76-2.73 mSv group (OR=1.270, 95%CI: 1.017, 1.586); the risk of MetS was higher in the smoking group (OR=1.734, 95%CI: 1.428, 2.107). The results of restricted cubic spline showed that the cumulative effective dose was nonlinearly correlated with MetS (P _{non-linearity}=0.028), with an inflection point of 1.25 mSv. The risk of developing MetS increased by 34.1% for each unit increase in cumulative effective dose up to 1.25 mSv, whereas above 1.25 mSv, the statistical association was not significant. The sensitivity analysis results showed that after excluding the self-reported hypertensive and diabetic patients, the cumulative effective dose 0.76-2.73 mSv group still had an increased risk of developing MetS compared with the < 0.76 mSv group (P < 0.05), and the results were robust. Conclusion Among medical radiologists, male, age, BMI, and smoking are positively correlated with MetS, and monthly income is negatively correlated with MetS; cumulative effective dose is non-linearly correlated with MetS among medical radiologists.

Objective To compare the effects of two exercise intensities on metabolic syndrome(MS).Methods Forty-nine MS patients hospitalized in Taiyuan Central Hospital from December,2022 to January 2024 were selected and randomly divided into two groups:a standard group(n=24)and individual group(n=25).All patients underwent cardiopulmonary exercise test(CPET)before and after treatment,collecting major indexes including body parameter,body component,and metabolic indicator for prescribing exercise programs.The standard group was trained with exercise intensity prescribed on heart rate reserve,while the individual group received the exercise with intensity prescribed on ventilatory threshold.Both groups received equal energy consumption exercise intervention with the same exercise frequency for 12 weeks.Results The two groups demonstrated significant improvements in waist circumference(WC),body mass index(BMI),body fat related indexes,and systolic blood pressure after intervention(P<0.05).The individual group showed significant improvements inWC,BMI and body fat related indexes as compared to the standard group(P<0.05).Both groups showed significant improvements in peak oxygen uptake,(PeakVO2),peak load power(Peak WR),peak metabolic equivalent(PeakMets),and peak respiratory exchange ratio(Peak RER)after intervention(P<0.05).The individual group presented significant improvements in peak heart rate(HRpeak),peak oxygen pulse(Peak VO2/HR),and maximum voluntary ventilation(MVV)(P<0.05)after intervention.Before intervention,the standard group demonstrated significantly higher levels in PeakVO2 and Peak MET compared to the individual group(P<0.05),but after intervention the two groups showed no significant differences in the two indexes.After the intervention,the individual group demonstrated insignificant improvements in all indexes compared to the standard group(P>0.05).Conclusions Both exercise prescriptions based on CPET can effectively improve the health-related indicators of MS patients on condition of moderate exercise intensity.However,the program prescribed based on individualized ventilatory threshold shows superiority to the program prescribed based on maximum physiological value in improving these indicators.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.