City Health Examination in China:A Methodology and Empirical Study

National urban planning,construction,and management levels have undergone qualitative changes in China since 2000.Nonetheless,problems caused by rapid urbanization are becoming increasingly prominent.The concept of the city health examination appears to tackle these problems and is being gradually implemented,starting from the implementation of a national strategy and leading to the concrete practice of high-quality urban development.This paper elaborates on the basic philosophy and theory of the city health examination,briefly explains indicator selection and aims,and comprehensively illustrates examination methods.It then describes the empirical research that operationalized the dataset collected from a satisfaction survey administered during the 2020 city health examination.It aims to provide a reference for the standardization,specialization,analysis,and application of the results of the city health examination in China;this may help promote a smooth elimination of‘urban diseases’and allow for the development of high-quality livable cities.This research shows that city residents are generally more satisfied with the landscape features,ecological livability,and security resilience;it also shows that residents are generally more dissatisfied with traffic issues.Residents with different characteristics showed different satisfaction levels toward different indicators.Residents were also shown to be more sensitive to innovation vitality,ecological livability,and health and comfort in considering whether to stay in their current city.

Regional Differences in Specific Health Examination Utilization and Medical Care Expenditures in Japan

Background: Despite having one of the most successful health systems in the world, annual medical expenditures in Japan have been increasing year to year. We sought to clarify regional differences in medical expenditures by analyzing the relationship between the specific health examination coverage and medical care expenditure by prefecture of Japan. Methods: We used data from the National Database of Health Insurance Claims and Specific Health Checkups (NDB) Open Data Japan (2015) and Overview of 2015 National Medical Expenses to compare medical care expenditure per capita and proportions of persons receiving specific health examination between Japan nationally and individual prefectures. Results: National medical expenditures were 42.3 trillion Japanese yen (JPY) (3851 hundred million dollars), with a national per capita rate of JPY347,219 (USD3156). Per capita medical expenditure rates by prefecture ranged from JPY290,900 (USD2645) in Saitama Prefecture to JPY 444,000 (USD4036) in Kochi Prefecture. The proportion of persons receiving specific health examinations was 49.0% for Japan overall and ranged from 39.3% in Hokkaido Prefecture to 63.4% in Tokyo Prefecture. We observed a significant negative correlation between per capita medical expenditures and the proportion of persons receiving specific health examinations (R = 0.553, p < 0.001). Conclusion: We found a significant negative correlation between per capita medical expenditures and the proportion of persons receiving health examinations: prefectures with lower expenditures tended to have higher rates of medical examinations. Interventions to increase the proportion of persons receiving specific health examinations by prefecture could reduce per capita medical expenditures and reduce prefectural disparities in expenditures.

Association of Health-related Quality of Life with Health Examination and Lifestyles of Government Managers in China

In order to study the association of each item of a health examination and lifestyles with health-related quality of life (HRQoL), a cross-sectional survey by a self-administered questionnaire using the 12-Item Short Form Health Survey (SF-12, version 1) was conducted on 145 government managers that took health examinations in Tongji Hospital, Wuhan, China during 2005. The results showed that the determinations of organic functions including BMI, hemoglobin, blood platelet count, urine protein, urine WBC and lipid metabolism (LDL) were associated with HRQoL. The lifestyle items including age, sex, life satisfaction, drinking alcohol and kind of alcohol drunk, drinking tea, sleep quality and adhering to bedtime, working overtime, work stress were associated with HRQoL in the multiple regression models. Sex, age and life satisfaction were the lifestyle items most closely associated with HRQoL, while LDL, hemoglobin and urine protein were the health examination items most closely associated HRQoL. This study revealed that both lifestyle and health examination items were associated with HRQoL.

The Association of Mercury and ALT with Obesity in Korean Adults Using Data from the Korea National Health and Nutrition Examination Survey for 11 Years(KNHANES 2005,2008-2017)

The association between heavy metals in the blood and obesity has been examined in many studies.However,inconsistencies have been observed in the results of these studies.The present study was conducted using data from 119,181 participants of the Korea National Health and Nutrition Examination Survey(KNHANES)for 11 years in 2005 and between 2008 and 2017.The subjects with missing heavy metal blood tests,health interview data,and health examination data were excluded from the study.The study population comprised 1,844 individuals(972 men,and 872 women)who were eligible for inclusion.It was found that obesity and abdominal obesity were associated with an increase in both blood mercury(P<0.001)and alanine aminotransferase(ALT)(P<0.001).After adjusting the confounding factors,those with concurrent high levels of ALT and the highest tertile of mercury showed an increased risk of obesity(odds ratio 4.46,95%confidence interval 2.23-8.90,P<0.001)as well as abdominal obesity(odds ratio 5.36,95%confidence interval 2.57-11.17,P<0.001).The interrelationship of mercury and ALT with the parameters of body mass index(P for interaction=0.009)and waist circumference(P for interaction=0.012),respectively,have been observed to be significant,suggesting that the reciprocal relationship could contribute to obesity and abdominal obesity.

Low skeletal muscle mass is associated with non-alcoholic fatty liver disease in Korean adults： the Fifth Korea National Health and Nutrition Examination Survey

BACKGROUND： Sarcopenia and non-alcoholic fatty liver dis- ease （NAFLD） share similar pathophysiological mechanisms, and the relationship between sarcopenia and NAFLD has been recently investigated. The study investigated whether low skel- etal muscle mass is differentially associated with NAFLD by gender in Korean adults. METHODS： We conducted a cross-sectional analysis of the data from the Fifth Korea National Health and Nutrition Examination Survey. The skeletal muscle index （SMI） was obtained by the appendicular skeletal muscle mass divided by the weight. NAFLD was defined as a fatty liver index （FLI） 〉60 in the absence of other chronic liver disease. RESULTS： Among the included subjects, 18.3% （SE： 1.4%） in men and 7.0% （SE： 0.7%） in women were classified as having FLI-defined NAFLD. Most of the risk factors for FLI-defined NAFLD showed a significant negative correlation with the SMI in both genders. Multiple logistic regression analysis showed that low SMI was associated with FLI-defined NAFLD, inde- pendent of other metabolic and lifestyle parameters in both genders [males： odds ratio （OR）=1.35; 95% confidence inter- val （CI）： 1.17-1.54; females： OR=1.36; 95% CI： 1.18-1.55]. The magnitude of the association between FLI-defined NAFLD and low SMI was higher in middle aged to elderly males （OR-1.50; 95% CI： 1.22-1.84） than in males less than 45 years of age （OR=1.25; 95% CI： 1.02-1.52） and in premenopausal females （OR=l.50; 95% CI： 1.12-2.03） than in postmenopausal females （OR-1.36; 95% CI： 1.20-1.54）.CONCLUSIONS： Low SMI is associated with the risk of FLI- defined NAFLD independent of other well-known metabolic risk factors in both genders. This association may differ ac- cording to age group or menopausal status. Further studies are warranted to confirm this relationship.

Analysis of risk factors for polypoid lesions of gallbladder among health examinees

AIM: To investigate the prevalence and risk factors of polypoid lesions of gallbladder (PLG) among the health examinees in the Shanghai region, China. METHODS: A total of 11 816 subjects who underwent health examinations in our hospital between August 2010 and February 2011 were analyzed retrospectively. Among them, there were 7174 men and 4642 women. PLG was diagnosed by the real-time ultrasonography. Those with the body mass index (BMI) ≥ 28 were considered to be obese. Blood biochemical indices were detected with the fully automatic biochemical analyzer and hepatitis B surface antigen (HBsAg) was tested by the automated enzyme immunoassay. The correlations between the prevalence of PLG and age, sex, BMI, serum cholesterol (T-Cho), triglycerides (TG),blood sugar, HBsAg, high-density lipoprotein (HDL-C), low-density lipoprotein (LDL-C), gallstone and fatty liver were investigated. After univariate analysis of 11 variables, stepwise logistic regression analysis was performed to explore the risk factors of PLG. RESULTS: There was a significant difference in sex, T-Cho, HBsAg, HDL-C, LDL-C and fatty liver between the PLG-positive group and the PLG-negative group (332/163 vs 6842/4479, P = 0.003; 22/473 vs 295/11 026, P =0.013; 92/403 vs 993/10 328, P = 0.001; 47/448 vs 332/10 989, P = 0.001; 32/463 vs 381/10 940, P = 0.001; 83/412 vs 3260/8061, P = 0.001). No significant difference was found in the age, BMI, TG, blood sugar and gallstone between the two groups (47.3 ± 26 vs 45.1 ± 33, P = 0.173; 59/436 vs 1097/10 224, P = 0.102; 52/443 vs 982/10 339, P = 0.158; 17/478 vs 295/11 026, P = 0.26; 24/471 vs 395/10 926, P = 0.109). Logistic regression analysis showed that the sex, HBsAg and HDL-C were independent risk factors for the development of PLG in a descending order of HDL-C > HBsAg > sex. CONCLUSION: In healthy people, the male gender, positive HBsAg, and low HDL-C confer higher risks of PLG development.

Association between Serum Ferritin Levels and Metabolic-associated Fatty Liver Disease in Adults:a Cross-sectional Study Based on the NHANES

Objective Ferritin,initially acting as an iron-storage protein,was found to be associated with metabolic diseases.Our study was designed to investigate the association between serum ferritin and metabolic-associated fatty liver disease(MAFLD)using data from the National Health and Nutrition Examination Survey(NHANES)of the United State of America.Methods A cross-sectional study was conducted,enrolling a total of 2145 participants from the NHANES in the 2017–2018 cycles.Hepatic steatosis and liver fibrosis were assessed by ultrasound images and several non-invasive indexes.Multiple regression analysis was conducted to determine the associations between serum ferritin concentration and MAFLD and liver fibrosis.Results The analysis revealed that participants with higher serum ferritin levels(Q3 and Q4 groups)had a higher prevalence of MAFLD than those with the lowest serum ferritin levels[Q3 vs.Q1:OR=2.17(1.33,3.53),P<0.05 in fatty liver index(FLI);Q4 vs.Q1:OR=3.13(1.91,5.13),P<0.05 in FLI].Additionally,participants with the highest serum ferritin levels(Q4 group)displayed a higher prevalence of liver fibrosis[Q4 vs.Q1:OR=2.59(1.19,5.62),P<0.05 in liver stiffness measurement;OR=5.06(1.12,22.94),P<0.05 in fibrosis-4 index],with significantly increased risk observed in participants with concomitant diabetes[OR=7.45(1.55,35.72),P=0.012].Conclusion Our study revealed that elevated serum ferritin levels are associated with a higher prevalence of MAFLD and advanced liver fibrosis in patients.Elevated serum ferritin levels combined with diabetes are important risk factors for liver fibrosis.

Relationship between dietary fiber intake and chronic diarrhea in adults

BACKGROUND Dietary fiber is essential for human health and can help reduce the symptoms of constipation.However,the relationship between dietary fiber and diarrhea is,poorly understood.AIM To evaluate the relationship between dietary fiber and chronic diarrhea.METHODS This retrospective study was conducted using data from the United States National Health and Nutrition Examination Survey,conducted between 2005 and 2010.Participants over the age of 20 were included.To measure dietary fiber consumption,two 24-hour meal recall interviews were conducted.The independent relationship between the total amount of dietary fiber and chronic diarrhea was evaluated with multiple logistic regression and interaction analysis.RESULTS Data from 12829 participants were analyzed.Participants without chronic diarrhea consumed more dietary fiber than participants with chronic diarrhea(29.7 vs 28.5,P=0.004).Additionally,in participants with chronic diarrhea,a correlation between sex and dietary fiber intake was present:Women who consume more than 25 g of dietary fiber daily can reduce the occurrence of chronic diarrhea.CONCLUSION Dietary fiber can reduce the occurrence of chronic diarrhea.

Associations between remnant cholesterol levels and mortality in patients with diabetes

BACKGROUND Dyslipidemia is frequently present in patients with diabetes.The associations of remnant cholesterol and mortality remains unclear in patients with diabetes.AIM To explore the associations of remnant cholesterol with all-cause and cardiovas-cular mortality in patients with diabetes.METHODS This prospective cohort study included 4740 patients with diabetes who par-ticipated in the National Health and Nutrition Examination Survey from 1999 through 2018.Remnant cholesterol was used as the exposure variable,and all-cause and cardiovascular mortality were considered outcome events.Outcome data were obtained from the National Death Index,and all participants were followed from the interview date until death or December 31,2019.Multivariate proportional Cox regression models were used to explore the associations between exposure and outcomes,in which remnant cholesterol was modeled as both a categorical and a continuous variable.Restricted cubic splines(RCSs)were calculated to assess the nonlinearity of associations.Subgroup(stratified by sex,age,body mass index,and duration of diabetes)and a series of sensitivity analyses were performed to evaluate the robustness of the associations.RESULTS During a median follow-up duration of 83 months,1370 all-cause deaths and 389 cardiovascular deaths were documented.Patients with remnant cholesterol levels in the third quartile had a reduced risk of all-cause mortality[hazard ratio(HR)95%confidence interval(CI):0.66(0.52-0.85)];however,when remnant cholesterol was modeled as a continuous variable,it was associated with increased risks of all-cause[HR(95%CI):1.12(1.02-1.21)per SD]and cardiovascular[HR(95%CI):1.16(1.01-1.32),per SD]mortality.The RCS demonstrated nonlinear associations of remnant cholesterol with all-cause and cardiovascular mortality.Subgroup and sensitivity analyses did not reveal significant differences from the above results.CONCLUSION In patients with diabetes,higher remnant cholesterol was associated with increased risks of all-cause and cardiovascular mortality,and diabetes patients with slightly higher remnant cholesterol(0.68-1.04 mmol/L)had a lower risk of all-cause mortality.

Assessment of the triglyceride glucose index in adult patients with chronic diarrhea and constipation

BACKGROUND Accumulating evidence suggests that the gut microbiome is involved in the pathogenesis of insulin resistance(IR).However,the link between two of the most prevalent bowel disorders,chronic diarrhea and constipation,and the triglyceride glucose(TyG)index,a marker of IR,has not yet been investigated.AIM To investigate the potential association between TyG and the incidence of chronic diarrhea and constipation.METHODS This cross-sectional study enrolled 2400 participants from the National Health and Nutrition Examination Survey database from 2009-2010.TyG was used as an exposure variable,with chronic diarrhea and constipation as determined by the Bristol Stool Form Scale used as the outcome variables.A demographic investigation based on TyG quartile subgroups was performed.The application of multivariate logistic regression models and weighted generalized additive models revealed potential correlations between TyG,chronic diarrhea,and constipation.Subgroup analyses were performed to examine the stability of any potential associations.RESULTS In the chosen sample,chronic diarrhea had a prevalence of 8.00%,while chronic constipation had a prevalence of 8.04%.In multiple logistic regression,a more prominent positive association was found between TyG and chronic diarrhea,particularly in model 1(OR=1.45;95%CI:1.17-1.79,P=0.0007)and model 2(OR=1.40;95%CI:1.12-1.76,P=0.0033).No definite association was observed between the TyG levels and chronic constipation.The weighted generalized additive model findings suggested a more substantial positive association with chronic diarrhea when TyG was less than 9.63(OR=1.89;95%CI:1.05-3.41,P=0.0344),and another positive association with chronic constipation when it was greater than 8.2(OR=1.74;95%CI:1.02-2.95,P=0.0415).The results of the subgroup analyses further strengthen the extrapolation of these results to a wide range of populations.CONCLUSION Higher TyG levels were positively associated with abnormal bowel health.

Association of total bilirubin with depression risk in adults with diabetes:A cross-sectional study

BACKGROUND Individuals with diabetes mellitus are more likely to experience depression,although most patients remain undiagnosed.The relation between total bilirubin and depression has been increasingly discussed,but limited studies have examined the association of total bilirubin with depression risk in adults with diabetes,which warrants attention.AIM To investigate the association between total bilirubin levels and the risk of depression in adults with diabetes.METHODS The study included adults with diabetes from the National Health and Nutrition Examination Survey 2007-2018.Depression was determined using the Patient Health Questionnaire-9.Multivariable logistic regression,propensity scorematched analysis and restricted cubic spline models were utilized to investigate the association between total bilirubin levels and depression risk in adults with diabetes.RESULTS The study included 4758 adults with diabetes,of whom 602(12.7%)were diagnosed with depression.After adjusting for covariates,we found that diabetic adults with lower total bilirubin levels had a higher risk of depression(OR=1.230,95%CI:1.006-1.503,P=0.043).This association was further confirmed after propensity score matching(OR=1.303,95%CI:1.034-1.641,P=0.025).Subgroup analyses showed no significant dependence of age,body mass index,sex,race or hypertension on this association.Restricted cubic spline models displayed an inverted U-shaped association of total bilirubin levels with depression risk within the lower range of total bilirubin levels.The depression risk heightened with the increasing levels of total bilirubin,reaching the highest risk at 6.81μmol/L and decreasing thereafter.CONCLUSION In adults with diabetes,those with lower levels of total bilirubin were more likely to have depressive symptoms.Serum total bilirubin levels may be used as an additional indicator to assess depression risk in adults with diabetes.

Association between composite dietary antioxidant index and stroke among individuals with diabetes

BACKGROUND Recent research has underscored the potentially protective role of dietary antioxidants against chronic conditions,such as cardiovascular diseases and stroke.The composite dietary antioxidant index(CDAI),which reflects the overall intake of key dietary antioxidants,has been identified as a crucial metric for exploring this relationship.Although previous research has shown a negative correlation between CDAI levels and stroke risk in prediabetic individuals,there remains a substantial gap in understanding this association among individuals with diabetes,who are at an inherently greater risk for cerebrovascular events.AIM To investigate the association between CDAI and stroke risk in individuals with diabetes.METHODS Using a cross-sectional study design,this investigation analyzed data from the National Health and Nutrition Examination Survey spanning from 2003 to 2018 that included 6735 participants aged over 20 years with diabetes.The CDAI was calculated from 24-h dietary recalls to assess intake of key antioxidants:Vitamins A,C,and E;carotenoids;selenium;and zinc.Multivariate logistic regression and restricted cubic spline analysis were used to rigorously examine the relationship between CDAI and stroke risk.RESULTS The participant cohort,with an average age of 59.5 years and a slight male majority,reflected the broader demographic characteristics of individuals with diabetes.The analysis revealed a strong inverse relationship between CDAI levels and stroke risk.Remarkably,those in the highest quintile of CDAI demonstrated a 43%lower prevalence of stroke compared to those in the lowest quintile,even after adjustments for various confounders.This finding not only highlights the negative association between CDAI and stroke risk but also underscores the significant potential of antioxidant-rich diets in reducing stroke prevalence among patients with diabetes.CONCLUSION Our findings suggested that CDAI was inversely associated with stroke prevalence among patients with diabetes.These results suggest incorporating antioxidant-rich foods into dietary regimens as a potential strategy for stroke prevention.

Predicting depression in patients with heart failure based on a stacking model

BACKGROUND There is a lack of literature discussing the utilization of the stacking ensemble algorithm for predicting depression in patients with heart failure(HF).AIM To create a stacking model for predicting depression in patients with HF.METHODS This study analyzed data on 1084 HF patients from the National Health and Nutrition Examination Survey database spanning from 2005 to 2018.Through univariate analysis and the use of an artificial neural network algorithm,predictors significantly linked to depression were identified.These predictors were utilized to create a stacking model employing tree-based learners.The performances of both the individual models and the stacking model were assessed by using the test dataset.Furthermore,the SHapley additive exPlanations(SHAP)model was applied to interpret the stacking model.RESULTS The models included five predictors.Among these models,the stacking model demonstrated the highest performance,achieving an area under the curve of 0.77(95%CI:0.71-0.84),a sensitivity of 0.71,and a specificity of 0.68.The calibration curve supported the reliability of the models,and decision curve analysis confirmed their clinical value.The SHAP plot demonstrated that age had the most significant impact on the stacking model's output.CONCLUSION The stacking model demonstrated strong predictive performance.Clinicians can utilize this model to identify highrisk depression patients with HF,thus enabling early provision of psychological interventions.

Dietary fiber intake and its association with diabetic kidney disease in American adults with diabetes:A cross-sectional study

BACKGROUND Dietary fiber(DF)intake may have a protective effect against type 2 diabetes(T2D);however,its relationship with diabetic kidney disease(DKD)remains unclear.AIM To investigate the potential association between DF intake and the prevalence of DKD in individuals diagnosed with T2D.METHODS This cross-sectional study used data from the National Health and Nutrition Examination Survey collected between 2005 and 2018.DF intake was assessed through 24-h dietary recall interviews,and DKD diagnosis in individuals with T2D was based on predefined criteria,including albuminuria,impaired glomerular filtration rate,or a combination of both.Logistic regression analysis was used to assess the association between DF intake and DKD,and comprehensive subgroup and sensitivity analyses were performed.RESULTS Among the 6032 participants,38.4%had DKD.With lower DF intake-T1(≤6.4 g/1000 kcal/day)-as a reference,the adjusted odds ratio for DF and DKD for levels T2(6.5-10.0 g/1000 kcal/day)and T3(≥10.1 g/1000 kcal/day)were 0.97(95%CI:0.84-1.12,P=0.674)and 0.79(95%CI:0.68-0.92,P=0.002),respectively.The subgroup analysis yielded consistent results across various demographic and health-related subgroups,with no statistically significant interactions(all P>0.05).CONCLUSION In United States adults with T2D,increased DF intake may be related to reduced DKD incidence.Further research is required to confirm these findings.

Association between serum estradiol level and appendicular lean mass index in middle-aged postmenopausal women

BACKGROUND Previous studies investigating the association between loss of estrogen at menopause and skeletal muscle mass came to contradictory conclusions.AIM To evaluate the association between serum estradiol level and appendicular lean mass index in middle-aged postmenopausal women using population-based data.METHODS This study included 673 postmenopausal women,aged 40-59 years,from the National Health and Nutrition Examination Survey between 2013 and 2016.Weighted multivariable linear regression models were used to evaluate the association between serum E2 Level and appendicular lean mass index(ALMI).When non-linear associations were found by using weighted generalized additive model and smooth curve fitting,two-piecewise linear regression models were further applied to examine the threshold effects.RESULTS There was a positive association between serum E2 level and ALMI.Compared to individuals in quartile 1 group,those in other quartiles had higher ALMI levels.An inverted U-shaped curve relationship between serum E2 Level and ALMI was found on performing weighted generalized additive model and smooth curve fitting,and the inflection point was identified as a serum E2 level of 85 pg/mL.CONCLUSION Our results demonstrated an inverted U-shaped curve relationship between serum E2 levels and ALMI in middle-aged postmenopausal women,suggesting that low serum E2 levels play an important in the loss of muscle mass in middleaged postmenopausal women.

Sex differences in the association between the muscle quality index and the incidence of depression: A cross-sectional study

BACKGROUND Depression presents significant challenges to mental health care.Although phy-sical activity is highly beneficial to mental and physical health,relatively few stu-dies have conducted on the relationship between them.AIM To investigate the association between muscle quality index(MQI)and incidence of depression.METHODS The data used in this cross-sectional study were obtained from the 2011-2014 National Health and Nutritional Examination Survey,which included informa-tion on MQI,depression,and confounding factors.Multivariable logistic regre-ssion models were employed,while taking into account the complex multi-stage sampling design.A restricted cubic spline model was utilized to investigate the non-linear relationship between the MQI and depression.Additionally,subgroup analyses were performed to identify influential factors.RESULTS The prevalence of depression in this population was 8.44%.With the adjusted model,the MQI was associated with depression in females(odds ratio=0.68,95%confidence interval:0.49-0.95)but not in males(odds ratio=1.08,95%confidence interval:0.77-1.52).Restricted cubic spline adjustment of all covariates showed a significant negative non-linear relationship between depression and the MQI in females.The observed trend indicated an 80%decrease in the risk of depression for each unit increase in MQI,until a value of 2.2.Subsequently,when the MQI exceeded 2.2,the prevalence of depression increased by 20%for every unit increase in the MQI.Subgroup analyses further confirmed that the MQI was negatively associated with de-pression.CONCLUSION The MQI was inversely correlated with depression in females but not males,suggesting that females with a higher MQI might decrease the risk of depression.

Prevalence and Risk Factors Associated with Prehypertension among Young and Middle-Aged Health Check-Up Population in Guangzhou

Objective:To provide basic information and theories for prehypertension early intervention,a systematic analysis of the epidemic status and risk factors among young and middle-aged was carried out here.Methods:This study relied on the data bank of a health check-up population of a class a tertiary general hospital in Guangdong province in 2015.Total 9540 young and middle-aged adults were enrolled,and 733 people were included to find out the effect with lifestyle in these crowd.Principal Components Analysis(PCA)of Factor(FA)was used to identify dietary patterns.The logistic regression model was used to find the risk factors of prehypertension.Results:Among 9540 young and middle-aged cases,the incidence of prehypertension was 36.6%.Moreover,the average age,proportion of male gender,overweight,FBG(fasting blood glucose),dyslipidemia,and hyperuricemia were significantly higher in the prehypertension group than in the optimal BP group.Multivariate logistic regression analysis indicated that age,total cholesterol,triglycerides,uric acid,body mass index and HR(heart rate)were risk factors,and female was a protective factor for prehypertension.Among 733 cases,the incidence of prehypertension was 35.1%.The proportion of smoking,drinking,physical workers,moderate and severe physical activity,and the intake of meat,dietary energy were significantly higher in the prehypertension group than in the optimal BP group.Dietary patterns included“meat model”,“spice model”,“main vegeTables model”and“high protein model”.Multivariate logistic regression analysis indicated that age,drinking were risk factors for prehypertension,while dietary milk intake,dietary magnesium intake were protective factors.Conclusions:Prehypertension is highly prevalent in Guangzhou.However,education about effective lifestyle modifications as an alcohol limit,increasing the intake of dairy products,and magnesium may intervene in the development of prehypertension.But how to develop targeted interventions for such groups need to be further explored.The present study would lay the theoretical foundation and basic data for the next step.

Study on Health Management and Service Model of Chifeng Class 3A General Public Hospital

This study investigates the construction of a health management service mode based on large-scale comprehensive hospitals by analyzing health management service modes at home and abroad,that is,taking the Affiliated Hospital of Chifeng University as an example,establish a health examination hospital,undertake core tasks such as health service operation process,system,monitoring,and system formulation,and take the best medical resources.Attract social medical resources to collaborate and give health service mode of health status monitoring,evaluation,and intervention to health service objects,aided by advanced medical technology.To extend the traditional health management service with the hospital as the protagonist to health management with participation from family and society beyond the hospital,forming a closed-loop,rapid,and efficient health service management system.Thus,through graded quality services,to lessen the difficulties of patients seeing a doctor and to solve the problem of overcrowding and minor ailments in major hospitals.

Association of low muscle strength with metabolic dysfunctionassociated fatty liver disease:A nationwide study

BACKGROUND There is limited evidence regarding the association between muscle strength and metabolic dysfunction-associated fatty liver disease(MAFLD).AIM To investigate the association between muscle strength and MAFLD in the general population in Korea.METHODS This nationwide representative cross-sectional study included 31649 individuals aged≥19 years who participated in the Korea National Health and Nutrition Examination Survey between 2015 and 2018.Odds ratios(ORs)and 95%confidence intervals(95%CIs)for MAFLD according to sex-specific quartiles of muscle strength,defined by relative handgrip strength,were calculated using multivariable logistic regression analysis.Additionally,multivariable logistic regression analysis was used to assess the association between muscle strength and probable liver fibrosis in patients with MAFLD.RESULTS Of all the participants,29.3%had MAFLD.The prevalence of MAFLD was significantly higher in the lower muscle strength quartile groups for all participants,sexes,and age groups(P<0.001).A 1.92-fold(OR=1.92,95%CI:1.70–2.16)and 3.12-fold(OR=3.12,95%CI:2.64–3.69)higher risk of MAFLD was observed in the lowest quartile(Q1)group than in the other groups(Q2–Q4)and the highest quartile(Q4)group,respectively.The ORs of MAFLD were significantly increased in the lower muscle strength quartile groups in a dose-dependent manner(P for trend<0.001).These associations persisted in both sexes.An inverse association between muscle strength and the risk of MAFLD was observed in all subgroups according to age,obesity,and diabetes mellitus.In patients with MAFLD,the odds of severe liver fibrosis were higher in Q1(OR=1.83,95%CI:1.25–2.69)than in other groups(Q2–Q4).CONCLUSION Among Korean adults,low muscle strength was associated with an increased risk of MAFLD and liver fibrosis in patients with MAFLD.

Data mining in clinical big data:the frequently used databases,steps,and methodological models

Many high quality studies have emerged from public databases,such as Surveillance,Epidemiology,and End Results(SEER),National Health and Nutrition Examination Survey(NHANES),The Cancer Genome Atlas(TCGA),and Medical Information Mart for Intensive Care(MIMIC);however,these data are often characterized by a high degree of dimensional heterogeneity,timeliness,scarcity,irregularity,and other characteristics,resulting in the value of these data not being fully utilized.Data-mining technology has been a frontier field in medical research,as it demonstrates excellent performance in evaluating patient risks and assisting clinical decision-making in building disease-prediction models.Therefore,data mining has unique advantages in clinical big-data research,especially in large-scale medical public databases.This article introduced the main medical public database and described the steps,tasks,and models of data mining in simple language.Additionally,we described data-mining methods along with their practical applications.The goal of this work was to aid clinical researchers in gaining a clear and intuitive understanding of the application of data-mining technology on clinical big-data in order to promote the production of research results that are beneficial to doctors and patients.