Objective: To explore the association between dietary inflammatory index (DII) and elevated blood pressure among primary school students, and to analyze the mediating role of body mass index (BMI) in this association, so as to provide a scientific basis for the early prevention of childhood hypertension and dietary guidance. Methods: Research conducted based on the Ma anshan Child Growth Cohort in Anhui Province. From April to June 2024, 4 057 primary school students were selected as study subjects using a multi stage cluster sampling method. Dietary information was collected via Semi quantitative Food Frequency Questionnaire to calculate the DII score. BMI was obtained by measuring students height and weight. Elevated blood pressure was defined based on the Blood Pressure Reference Standards for Children Aged 3-17 Years. Logistic regression was used to analyze the association between DII scores and the risk of elevated blood pressure, and the Bootstrap method was employed to test for mediating effects. Results: The detection rate of elevated blood pressure among primary school students was 10.1% (408 cases). Multivariate Logistic regression analysis showed that, after adjusting for covariates such as gender and age, for each standard deviation increase in the DII score ( s =1.94), the risk of elevated blood pressure increased by 15% ( OR =1.15, 95% CI =1.04- 1.28 , P <0.05). Compared with the lowest quartile group of DII scores ( Q 1), students in the highest quartile group ( Q 4) had a 1.31-fold higher risk of elevated blood pressure ( OR =1.31, 95% CI =1.00-1.76, P <0.05). Restricted cubic spline results indicated a linear dose response relationship between DII scores and the risk of elevated blood pressure( P nonlinear =0.13). The mediation analysis revealed that BMI played a partial mediating role in the association between DII scores and elevated blood pressure. The mediation effect value was 0.06 (95% CI =0.04-0.08), accounting for 44.64% of the total effect. Conclusions DII scores are associated with elevated blood pressure among primary school students in Ma anshan City, and BMI plays a partial mediating role in this association. Promoting an anti inflammatory dietary pattern and weight control in early childhood should be emphasized to reduce the incidence of hypertension among primary school students.

Aging is comprehensively influenced by multiple fac-tors such as internal genes,cellular metabolism,external envi-ronment,and lifestyle habits.Among them,epigenetic regula-tion plays a core role.Epigenetic modifications,including DNA methylation,histone modification,heterochromatin remodeling,and non-coding RNA regulation,act in concert with the three-di-mensional genome architecture to precisely regulate gene expres-sion.This review elaborates on the factors influencing epigenetic regulation,as well as the mechanisms of how epigenetics affects the occurrence of organismal aging and the corresponding inter-vention strategies,providing relevant insights for uncovering the mechanisms of aging and preventing/treating aging-related disea-ses.

Objective To develop a refined management model for operating rooms and assess its clinical impact on op-erational efficiency and cost control.Methods The study included 10,728 elective surgeries from January to June 2024 as the study group and 9 414 elective surgeries from January to June 2023 as the control group.The differences in operational metrics before and after implementing the refined management model were compared.The model was developed through comprehensive management by hospital leadership and multi-department collaboration,focusing on management structure,systems,processes,information technology,and resource allocation.Results In terms of efficiency,the on-time start rate of the first surgeries in the study group was significantly higher than in the control group(P＜0.05).The turnover time between surgeries was shorter in the study group(P＜0.01),and the rate of unexpected surgery cancellations was lower(P＜0.01).The average cost per surgery for consumables,excluding the impact of centralized procurement of consumables,was approximately 971 yuan,representing an 11% reduction compared to the previous year,despite a 14% increase in surgical volume.The average daily operating cost per operating room was about 12 303 yuan,a 7% reduction.Economic benefits increased by 8.43 million yuan,a 38% year-on-year increase.Conclusion Implementing a refined management model in operating rooms can significantly enhance efficiency,re-duce costs,and achieve dual improvements in social and economic benefits.

Objective To develop a refined management model for operating rooms and assess its clinical impact on op-erational efficiency and cost control.Methods The study included 10,728 elective surgeries from January to June 2024 as the study group and 9 414 elective surgeries from January to June 2023 as the control group.The differences in operational metrics before and after implementing the refined management model were compared.The model was developed through comprehensive management by hospital leadership and multi-department collaboration,focusing on management structure,systems,processes,information technology,and resource allocation.Results In terms of efficiency,the on-time start rate of the first surgeries in the study group was significantly higher than in the control group(P＜0.05).The turnover time between surgeries was shorter in the study group(P＜0.01),and the rate of unexpected surgery cancellations was lower(P＜0.01).The average cost per surgery for consumables,excluding the impact of centralized procurement of consumables,was approximately 971 yuan,representing an 11% reduction compared to the previous year,despite a 14% increase in surgical volume.The average daily operating cost per operating room was about 12 303 yuan,a 7% reduction.Economic benefits increased by 8.43 million yuan,a 38% year-on-year increase.Conclusion Implementing a refined management model in operating rooms can significantly enhance efficiency,re-duce costs,and achieve dual improvements in social and economic benefits.

Aim To explore the relationship between serum levels of proprotein convertase subtilisin/kexin type 9(PCSK9),macrophage migration inhibitory factor(MIF)and the severity of coronary artery lesions in patients with coro-nary heart disease(CHD).Methods A cross-sectional study was conducted involving 139 patients with CHD and 69 control subjects who underwent coronary angiography during the same period,all of whom were admitted to the People's Hospital of Xinjiang Uygur Autonomous Region from November 2023 to May 2024.Clinical data and coronary angiography results were collected,and the severity of coronary artery stenosis was quantitatively assessed using the Gensini score.Pa-tients with the Gensini scores＞0 were classified into three groups based on tertiles:the mild stenosis group(1～18 points,54 cases),the moderate stenosis group(19～36 points,54 cases),and the severe stenosis group(＞36 points,54 ca-ses).Serum levels of PCSK9 and MIF were measured by ELISA kit.Results Serum levels of PCSK9 and MIF were significantly higher in the CHD group than those in the control group(P＜0.05).Multivariable Logistic regression analy-sis revealed that high levels of serum PCSK9 and MIF were independent risk factors for CHD.Spearman correlation analy-sis showed that serum PCSK9 and MIF levels were positively correlated with Gensini score(rs=0.619 6 and r,=0.411 4,both P＜0.001).Further subgroup analysis showed that serum total cholesterol and low density lipoprotein cholesterol lev-els were significantly increased in patients with high-level PCSK9,while patients with high-level MIF had higher inflamma-tory coefficients such as systemic inflammatory response index(SIRI)and systemic immune-inflammation index(SII)(all P＜0.05).Conclusion Serum levels of PCSK9 and MIF are positively correlated with the severity of coronary artery stenosis.High levels of serum PCSK9 and MIF are independent risk factors for CHD.

Objective:To examine the manifestations and causes of administrative burden among primary healthcare professionals,and to explore its impact on job burnout through the mediating role of role conflict,providing theoretical and empirical support for governance-level burden-reduction strategies.Methods:An exploratory sequential mixed-methods design was employed,focusing on primary healthcare professionals in Shandong Province.In the first phase,in-depth interviews were conducted with 175 participants;in the second phase,a questionnaire survey of 1,096 participants and follow-up interviews with 107 participants were carried out.Results:The proportions of respondents who reported"heavy"or"very heavy"burdens were 62.7%for inspection,54.8%for documentation,51.8%for reporting,and 24.4%for meetings.Structural equation modeling showed that administrative burden had a direct effect on job burnout(0.150)and an indirect effect through role conflict(0.093).Qualitative findings further indicated that administrative burden largely stemmed from public health traceability requirements and medical insurance policies,and operated through both resource-based and value-based conflicts.Conclusions:Primary healthcare professionals face considerable administrative burdens,which may heighten job burnout through role conflict.Governance reforms should optimize inspection and assessment,streamline data reporting,refine record-keeping,and promote collaborative governance to break the chain of institutional pressure leading to burnout.

Objective:To examine the manifestations and causes of administrative burden among primary healthcare professionals,and to explore its impact on job burnout through the mediating role of role conflict,providing theoretical and empirical support for governance-level burden-reduction strategies.Methods:An exploratory sequential mixed-methods design was employed,focusing on primary healthcare professionals in Shandong Province.In the first phase,in-depth interviews were conducted with 175 participants;in the second phase,a questionnaire survey of 1,096 participants and follow-up interviews with 107 participants were carried out.Results:The proportions of respondents who reported"heavy"or"very heavy"burdens were 62.7%for inspection,54.8%for documentation,51.8%for reporting,and 24.4%for meetings.Structural equation modeling showed that administrative burden had a direct effect on job burnout(0.150)and an indirect effect through role conflict(0.093).Qualitative findings further indicated that administrative burden largely stemmed from public health traceability requirements and medical insurance policies,and operated through both resource-based and value-based conflicts.Conclusions:Primary healthcare professionals face considerable administrative burdens,which may heighten job burnout through role conflict.Governance reforms should optimize inspection and assessment,streamline data reporting,refine record-keeping,and promote collaborative governance to break the chain of institutional pressure leading to burnout.

Aim To systematically analyze the risk factors for comorbid ischemic cardiovascular and cerebrovas-cular diseases using principal component analysis.It seeks to identify key risk factors influencing comorbidity and to con-struct a predictive model to serve as a screening tool for the prevention and management of comorbidities.Methods This retrospective study included patients diagnosed with coronary artery disease from December 1,2009 to June 30,2020,at the First Affiliated Hospital of Xinjiang Medical University,using data from the hospital's integrated coronary heart dis-ease prevention platform.Patients were divided into two groups:those with both cardiovascular and cerebrovascular disea-ses and those with only coronary artery disease based on inclusion and exclusion criteria.Clinical indicators during hospi-tal admission were collected.The sample was randomly divided into a modeling set and a validation set in a 7∶3 ratio.In the modeling set,principal component analysis was used to explore the distribution differences in risk factors between the comorbid group and the single-disease group.By analyzing factor load contributions,the most significant variables were i-dentified.Logistic regression was then used to construct a predictive model,and a nomogram was generated.The model's predictive ability and robustness were evaluated in the validation set.Results A total of 11 808 participants were included,with 2 781(23.6%)in the comorbid group and 9 027(76.4%)in the coronary heart disease-only group.Compared with the single-disease group,the comorbid group had a higher average age,a greater proportion of females,and higher systolic blood pressure levels at admission(P<0.001).Additionally,thelevelsof hemoglobin,platelet distri-bution width,low density lipoprotein,and blood sodium were significantly higher in the comorbid group(P<0.05).A total of 8 265 participants were randomly assigned to the modeling set.Principal component analysis identified seven key factors with factor load contributions greater than 5:sodium level,systolic blood pressure,diastolic blood pressure,age,hemoglobin concentration,platelet distribution width,and total bilirubin level.Using these factors,a nomogram was con-structed via Logistic regression.The nomogram's area under the receiver operating characteristic curve for predicting co-morbid ischemic cardiovascular and cerebrovascular diseases was 0.630(95%CI:0.600～0.768,P<0.001).A total of 3 543 participants were randomly assigned to the validation set.In the validation set,the receiver operating characteristic curve was 0.628.Conclusion Elevated sodium level,higher systolic and diastolic blood pressure at admission,older age,increased hemoglobin concentration,higher platelet distribution width,and lower total bilirubin level are risk factors for comorbid ischemic cardiovascular and cerebrovascular diseases.The nomogram constructed has clinical value for screening patients with such comorbidities.

Aging is comprehensively influenced by multiple fac-tors such as internal genes,cellular metabolism,external envi-ronment,and lifestyle habits.Among them,epigenetic regula-tion plays a core role.Epigenetic modifications,including DNA methylation,histone modification,heterochromatin remodeling,and non-coding RNA regulation,act in concert with the three-di-mensional genome architecture to precisely regulate gene expres-sion.This review elaborates on the factors influencing epigenetic regulation,as well as the mechanisms of how epigenetics affects the occurrence of organismal aging and the corresponding inter-vention strategies,providing relevant insights for uncovering the mechanisms of aging and preventing/treating aging-related disea-ses.

Aim To systematically analyze the risk factors for comorbid ischemic cardiovascular and cerebrovas-cular diseases using principal component analysis.It seeks to identify key risk factors influencing comorbidity and to con-struct a predictive model to serve as a screening tool for the prevention and management of comorbidities.Methods This retrospective study included patients diagnosed with coronary artery disease from December 1,2009 to June 30,2020,at the First Affiliated Hospital of Xinjiang Medical University,using data from the hospital's integrated coronary heart dis-ease prevention platform.Patients were divided into two groups:those with both cardiovascular and cerebrovascular disea-ses and those with only coronary artery disease based on inclusion and exclusion criteria.Clinical indicators during hospi-tal admission were collected.The sample was randomly divided into a modeling set and a validation set in a 7∶3 ratio.In the modeling set,principal component analysis was used to explore the distribution differences in risk factors between the comorbid group and the single-disease group.By analyzing factor load contributions,the most significant variables were i-dentified.Logistic regression was then used to construct a predictive model,and a nomogram was generated.The model's predictive ability and robustness were evaluated in the validation set.Results A total of 11 808 participants were included,with 2 781(23.6%)in the comorbid group and 9 027(76.4%)in the coronary heart disease-only group.Compared with the single-disease group,the comorbid group had a higher average age,a greater proportion of females,and higher systolic blood pressure levels at admission(P<0.001).Additionally,thelevelsof hemoglobin,platelet distri-bution width,low density lipoprotein,and blood sodium were significantly higher in the comorbid group(P<0.05).A total of 8 265 participants were randomly assigned to the modeling set.Principal component analysis identified seven key factors with factor load contributions greater than 5:sodium level,systolic blood pressure,diastolic blood pressure,age,hemoglobin concentration,platelet distribution width,and total bilirubin level.Using these factors,a nomogram was con-structed via Logistic regression.The nomogram's area under the receiver operating characteristic curve for predicting co-morbid ischemic cardiovascular and cerebrovascular diseases was 0.630(95%CI:0.600～0.768,P<0.001).A total of 3 543 participants were randomly assigned to the validation set.In the validation set,the receiver operating characteristic curve was 0.628.Conclusion Elevated sodium level,higher systolic and diastolic blood pressure at admission,older age,increased hemoglobin concentration,higher platelet distribution width,and lower total bilirubin level are risk factors for comorbid ischemic cardiovascular and cerebrovascular diseases.The nomogram constructed has clinical value for screening patients with such comorbidities.