Objective:To understand the usage situation of e-cigarettes among residents aged 18-65 in Beijing, explore the relationship between e-cigarette use and cigarette smoking as well as smoking cessation behaviors, and provide scientific support for the developing and improving policies and measures related to e-cigarettes.Methods:Using 19 684 residents data from the Beijing Non-communication Chronic Disease and Risk Factors Surveillance in 2022, complex sampling weighted methods were used to estimate proportions, and complex sampling logistic regression analysis was applied to explore the relationship between e-cigarette use, cigarette smoking, and smoking cessation.Results:Among all study participants, the proportion of those who had ever used e-cigarettes was 3.36%, with the current e-cigarette use at 1.26%. The proportion of current e-cigarette users (1.87%) and the former e-cigarette users (3.47%) were higher ( χ2=64.70, P<0.001) among males compared to females (0.60% and 0.64% respectively). The top three reasons for using e-cigarettes were wanting to quit smoking, perceiving e-cigarettes as less harmful, and enjoying the flavors of e-cigarettes. 83.54% of e-cigarette users started with cigarettes. The results of the complex sampling multivariable logistic regression analysis showed that current smoking ( OR=61.35, 95% CI: 36.98-101.76) and former smoking ( OR=31.20, 95% CI: 15.52-62.71) were positively associated with e-cigarette, while current e-cigarette use ( OR=0.13, 95% CI: 0.04-0.39) was negatively associated with quitting cigarette smoking. Conclusions:The proportion of e-cigarette use in Beijing was relatively low. E-cigarette use was associated with cigarette use and was not conducive to smoking cessation. Therefore, stronger regulatory measures and health education campaigns regarding the risks of e-cigarettes should be implemented.

Objective:To analyze the prevalence trends and epidemiological characteristics of cardiometabolic multimorbidity(CMM) in Beijing from 2005 to 2022.Methods:A series of representative cross-sectional surveys were conducted in Beijing between 2005 and 2022 using a stratified multistage cluster random sampling method. A total of 110 496 permanent residents aged 18-79 years participated in face-to-face interviews, physical examinations, and laboratory testing. Complex sampling logistic regression models were employed to identify factors associated with CMM, and Joinpoint regression was used to assess temporal trends in prevalence. Results:The prevalence of CMM was 22.3% in 2005 and 24.3% in 2022, with an average annual percent change of 0.1%(95% CI -1.3%-1.3%, P>0.05). In rural areas, the prevalence increased by 1.3% per year(95% CI 0.2%-2.6%, P<0.05), while among obese individuals, it decreased by 1.0% annually( P<0.05). The most common CMM patterns were hypertension combined with dyslipidemia(13.2%), hypertension combined with diabetes(7.0%), and diabetes combined with dyslipidemia(5.8%). The prevalence of hypertension and dyslipidemia comorbidity showed a long-term decline among females, those aged 60-79 and obese individuals( P<0.05). In contrast, the prevalence of hypertension and diabetes comorbidity increased over time in rural residents and individuals with normal body weight( P<0.05). Furthermore, diabetes and dyslipidemia comorbidity rates increased significantly among males, adults aged 18-59 years, those with a college education or above, rural residents and individuals with normal body weight( P<0.05). Multivariable logistic regression indicated that male, older age, overweight, obese, and lower education level were independently associated with a higher risk of CMM( P<0.05). Conclusion:From 2005 to 2022, the prevalence of CMM remained high among adults in Beijing. While prevalence decreased among obese individuals, it increased significantly in rural areas. Hypertension combined with dyslipidemia was the most common multimorbidity pattern throughout the study period.

Objective:To understand the usage situation of e-cigarettes among residents aged 18-65 in Beijing, explore the relationship between e-cigarette use and cigarette smoking as well as smoking cessation behaviors, and provide scientific support for the developing and improving policies and measures related to e-cigarettes.Methods:Using 19 684 residents data from the Beijing Non-communication Chronic Disease and Risk Factors Surveillance in 2022, complex sampling weighted methods were used to estimate proportions, and complex sampling logistic regression analysis was applied to explore the relationship between e-cigarette use, cigarette smoking, and smoking cessation.Results:Among all study participants, the proportion of those who had ever used e-cigarettes was 3.36%, with the current e-cigarette use at 1.26%. The proportion of current e-cigarette users (1.87%) and the former e-cigarette users (3.47%) were higher ( χ2=64.70, P<0.001) among males compared to females (0.60% and 0.64% respectively). The top three reasons for using e-cigarettes were wanting to quit smoking, perceiving e-cigarettes as less harmful, and enjoying the flavors of e-cigarettes. 83.54% of e-cigarette users started with cigarettes. The results of the complex sampling multivariable logistic regression analysis showed that current smoking ( OR=61.35, 95% CI: 36.98-101.76) and former smoking ( OR=31.20, 95% CI: 15.52-62.71) were positively associated with e-cigarette, while current e-cigarette use ( OR=0.13, 95% CI: 0.04-0.39) was negatively associated with quitting cigarette smoking. Conclusions:The proportion of e-cigarette use in Beijing was relatively low. E-cigarette use was associated with cigarette use and was not conducive to smoking cessation. Therefore, stronger regulatory measures and health education campaigns regarding the risks of e-cigarettes should be implemented.

Objective:To analyze the prevalence trends and epidemiological characteristics of cardiometabolic multimorbidity(CMM) in Beijing from 2005 to 2022.Methods:A series of representative cross-sectional surveys were conducted in Beijing between 2005 and 2022 using a stratified multistage cluster random sampling method. A total of 110 496 permanent residents aged 18-79 years participated in face-to-face interviews, physical examinations, and laboratory testing. Complex sampling logistic regression models were employed to identify factors associated with CMM, and Joinpoint regression was used to assess temporal trends in prevalence. Results:The prevalence of CMM was 22.3% in 2005 and 24.3% in 2022, with an average annual percent change of 0.1%(95% CI -1.3%-1.3%, P>0.05). In rural areas, the prevalence increased by 1.3% per year(95% CI 0.2%-2.6%, P<0.05), while among obese individuals, it decreased by 1.0% annually( P<0.05). The most common CMM patterns were hypertension combined with dyslipidemia(13.2%), hypertension combined with diabetes(7.0%), and diabetes combined with dyslipidemia(5.8%). The prevalence of hypertension and dyslipidemia comorbidity showed a long-term decline among females, those aged 60-79 and obese individuals( P<0.05). In contrast, the prevalence of hypertension and diabetes comorbidity increased over time in rural residents and individuals with normal body weight( P<0.05). Furthermore, diabetes and dyslipidemia comorbidity rates increased significantly among males, adults aged 18-59 years, those with a college education or above, rural residents and individuals with normal body weight( P<0.05). Multivariable logistic regression indicated that male, older age, overweight, obese, and lower education level were independently associated with a higher risk of CMM( P<0.05). Conclusion:From 2005 to 2022, the prevalence of CMM remained high among adults in Beijing. While prevalence decreased among obese individuals, it increased significantly in rural areas. Hypertension combined with dyslipidemia was the most common multimorbidity pattern throughout the study period.

Aim To investigate the possible mechanism of action of Qingjie Huagong decoction(QJHGD)on acute lung injury(ALI)associated with severe acute pancreatitis(SAP)using network pharmacology,and to verify it by animal experiments.Methods The TC-MSP,BATMAN-TCM,ETCM,and SwissTargetPredic-tion databases were searched to obtain the action tar-gets of the blood-entering active ingredients of each drug in the QJHGD.The GeneCard database was searched to obtain SAP-ALI disease targets.The drug targets and disease targets were intersected to obtain common targets.Subsequently,the common targets were analyzed by STRING database and Cytoscape 3.7.1 software for protein interaction network analysis.GO and KEGG enrichment analysis was performed with the help of DAVID database.Finally,the key signa-ling pathways were verified by animal experiments.Results A total of 28 active ingredients were screened out for the treatment of SAP-ALI with 42 common tar-gets.PPI network analysis showed that STAT3,IL-6,and TGFB1 might be core targets;GO and KEGG en-richment analysis mainly involved cell proliferation,PI3K/AKT signaling pathways,etc.Animal experi-ments confirmed that QJHGD could improve the pathol-ogy of pancreas and lung tissues in SAP-ALI rat mod-el,down-regulate the expression levels of α-amylase,lipase,IL-1 β,IL-6,and TNF-α in serum,and down-regulate the expression levels of proteins and mRNAs related to PI3K/AKT1 signaling pathway in lung tis-sues.Conclusion QJHGD synergistically treats SAP-ALI through multi-component,multi-target,and multi-pathway,with a mechanism that may be related to the inhibition of PI3K/AKT signaling pathway activation.

Traumatic cerebrospinal fluid leakage commonly presents in traumatic brain injury patients, and it may lead to complications such as meningitis, ventriculitis, brain abscess, subdural hematoma or tension pneumocephalus. When misdiagnosed or inappropriately treated, traumatic cerebrospinal fluid leakage may result in severe complications and may be life-threatening. Some traumatic cerebrospinal fluid leakage has concealed manifestations and is prone to misdiagnosis. Due to different sites and mechanisms of trauma and degree of cerebrospinal fluid leak, treatments for traumatic cerebrospinal fluid leakage varies greatly. Hence, the Craniocerebral Trauma Professional Group of Neurosurgery Branch of Chinese Medical Association and the Neurological Injury Professional Group of Trauma Branch of Chinese Medical Association organized relevant experts to formulate the " Chinese expert consensus on the diagnosis and treatment of traumatic cerebrospinal fluid leakage in adults ( version 2023)" based on existing clinical evidence and experience. The consensus consisted of 16 recommendations, covering the leakage diagnosis, localization, treatments, and intracranial infection prevention, so as to standardize the diagnosis and treatment of traumatic cerebrospinal fluid leakage and improve the overall prognosis of the patients.

Objective: To explore the knowledge, attitude and behavior of salt reduction in adults of Beijing in 2017. Methods: Based on the monitoring data of chronic diseases and corresponding risk factors in adults of Beijing in 2017, the indicators of salt reduction knowledge, attitude and behavior of 13 240 participants aged 18-79 years old were analyzed. The awareness rate, attitude support rate and behavior rate were calculated by complex weighting method, and compared among different age groups, genders, residential areas, and history of hypertension. The proportion of people taking various salt reduction measures to the total number of people was compared. Results: The awareness rate of recommended daily salt intake, the awareness of hypertension caused or aggravated by more salt intake, the attitude support rate and behavior rate of adults were 31.77%, 88.56%, 90.27% and 53.86%, respectively. After weighted adjustment, the awareness rate of recommended daily salt intake was 31.08%, which increased with age (χ²_trend=431.56, P<0.001) and education level (χ²_trend=95.44, P<0.001). The awareness rate of women was higher than that of men (χ²=118.89, P<0.001), and the awareness rate of population in urban areas was higher than that of population in suburban areas (χ²=34.09, P=0.001). The awareness rate of hypertension caused or aggravated by eating more salt was 86.73%. The support rate of salt reduction attitude was 90.45%. The rate of salt-reducing behavior was 54.05%. Among different salt reduction measures, reducing salt when cooking was the most common measure (52.41%), while the least common one (35.22%) was using low sodium salt. Logistic regression model analysis showed that the gender, age, education level, self-reported history of hypertension, awareness of salt recommendation, awareness of hypertension caused or aggravated by eating more salt, and salt reduction attitude were significantly associated with salt reduction behavior. Conclusion: In 2017, adults in Beijing have a basic understanding of the impact of high-salt diet on health and support salt reduction, but the rate of salt reduction behavior is still relatively low. There are obvious gender and age differences, and the salt reduction measure is simple. Targeted measures should be taken to promote the formation of salt reduction behavior.
Adolescent ; Adult ; Aged ; Beijing ; Diet, Sodium-Restricted ; Female ; Health Knowledge, Attitudes, Practice ; Humans ; Hypertension/prevention & control* ; Male ; Middle Aged ; Recommended Dietary Allowances ; Sodium Chloride, Dietary ; Young Adult

Objective: To understand the current status of taking nutrient supplements for residents aged 18 to 79 years old in Beijing and its related factors. Methods: Data were gathered from the 2017 Beijing Non-communicable and Chronic Disease Surveillance Program. Multiple classified cluster sampling method was used, and participants aged 18-79 were sampled from 16 districts. The questionnaire included chronic diseases and related risk factors, health knowledge, and oral nutritional supplements within 12 months. Multivariate logistic regression models were established to analyze associated factors that affect the intake of nutrient supplements. Results: The weighted prevalence of supplements use was 13.1% among 12 696 subjects within the past 12 months. The proportions of multivitamins (4.7%), B vitamins (4.5%), and folic acid (3.2%) were higher. The prevalence of supplement use of young people (18-39 years old) and the elderly (60-79 years old) was higher than middle-aged people (40-59 years old) (χ²=54.09, P<0.001). Except for the age group of 70-79 years old, the consumption rate of women was significantly higher than that of men (P<0.05). After adjusting age and sex, among patients with hypertension, diabetes, or dyslipidemia, the control rates of blood pressure, glucose and lipids of patients who take nutrient supplements were higher than those who do not (P<0.05). And participants who took nutrient supplements had a more heightened awareness rate of health knowledge, such as the hazards of smoking and second-hand smoke, and recommended amount of salt per day (P<0.001). The multi-factor logistic analysis found that nutrient supplement-related factors include women, old age, higher education level, living in urban, insufficient physical activity, sleeping problems, active physical examination, blood pressure control among patients, and health knowledge (P<0.05). Conclusions: The factors of nutrient supplements use were related to sex, age, education level, health status, and health literacy. We should pay attention to key populations and guide them to establish the correct concept of taking nutrient supplements.
Adolescent ; Adult ; Aged ; Beijing/epidemiology* ; Dietary Supplements ; Female ; Folic Acid ; Humans ; Male ; Middle Aged ; Smoking/adverse effects* ; Vitamin B Complex ; Young Adult

Objective: To understand the characteristics and current situation of high risks related to cardiovascular disease among residents aged 35-75 in Beijing and to provide scientific reference for the formulation and improvement of cardiovascular disease prevention and control strategies and measures. Methods: According to the data of the Cardiovascular Disease Screening and Management Program in Beijing, 93 520 participants aged 35-75 in 8 districts of Beijing were selected for analysis. We used the χ² test to compare the high-risk prevalence of cardiovascular disease in different population characteristics. The multivariate logistic regression model was used to analyze the relationship between population characteristics and the high risks of cardiovascular disease. Results: The prevalence of high-risk cardiovascular disease was 20.82% (19 471/93 520). The prevalence of high-risk population in the 65-75 years-old was significantly higher than those of other age groups [29.05% (5 151/17 733), χ²=3 359.37, P<0.001], and the prevalence increased with age (trend χ²=3 121.75, P<0.05). The prevalence of high risk in males was significantly higher than that of women (31.19%, 10 752/34 476 vs. 14.77%, 8 719/59 044, χ²=3 559.87, P<0.05). The most common clustered risk factors appeared as hypertension and diabetes (29.80%, 5 802/19 471), hypertension with smoking (37.84%, 4 069/10 752) in males, and hypertension with diabetes mellitus in females (49.32%, 4 300/8 719), in urban areas (33.62%, 2 571/7 647) and in suburbs (27.33%, 3 231/11 824). Lower education [high school (OR=1.56,95%CI:1.46-1.66), middle school (OR=1.99,95%CI:1.88-2.12), primary school and below (OR=2.28,95%CI:2.12-2.45)], non-Han ethnicity (OR=1.19, 95%CI: 1.07-1.33), unmarried (OR=1.16, 95%CI: 1.08-1.24), drinking alcohol (OR=3.06, 95%CI: 2.94-3.19), obesity (OR=1.85, 95%CI: 1.77-1.93), overweight (OR=1.41, 95%CI: 1.36-1.47), etc., were positively correlated with the high risk of cardiovascular disease. Conclusions: We noticed that the prevalence of high-risk groups of cardiovascular disease aged 35-75 years was around 20% in Beijing, and the proportion in males was higher than females. Low education, drinking, overweight, and obesity were positively correlated with the risks of cardiovascular disease.
Adult ; Aged ; Beijing/epidemiology* ; Cardiovascular Diseases/epidemiology* ; Female ; Humans ; Hypertension ; Male ; Middle Aged ; Overweight ; Risk Factors

Objective: To understand the regular exercise status and influencing factors in 18-64 year-old labor force population in Beijing, and provide evidences for behavioral intervention. Methods: Data were collected from Beijing Adult Non-communicable and Chronic Diseases and Risk Factors Surveillance Program from August to December, 2017. The stratified cluster sampling method was used to select 13 240 survey subjects throughout the city. The valid sample size included in this study were 11 604 persons aged 18 to 64 years. Questionnaire was used to collection the information about basic demographic characteristics, chronic disease history and physical activity prevalence of the study subjects. The body height and weight were measured by standard methods. Fasting venous blood samples were collected for the detection of fasting blood glucose, blood lipids and other biochemical indicators. Software SPSS 20.0 was used fort complex sampling sample weighting and data analysis. Results: The proportions of the study subjects who did regular exercise and never had leisure-time activity in 18-64 year-old labor force population in Beijing were 23.74% (95%CI: 21.51%-26.12%) and 64.34% (95%CI: 61.66%-66.94%) respectively; The average daily physical activity time was 23.44 min (95%CI: 21.16-25.71), and the total daily sedentary behavior time was 6.96 hours (95%CI: 6.80-7.13). With the increase of age, the proportions of the study subjects who did regular exercise and never had leisure-time activity increased (P=0.006, P<0.001). With the increase of educational level, the proportion of those who did regular exercise increased (P<0.001), and the proportion of those who never had leisure-time activity decreased (P<0.001); the higher the level of physical activity, the higher the regular exercise proportion (P<0.001); the proportions of employed people who did regular exercise was lower than those in unemployed people (P<0.001); the proportions of women never had leisure-time activity was higher than those in men (P=0.024). The results of multivariate analysis showed that older age and higher education level were positive factors for regular exercise (35- years old: OR=0.653, 95%CI: 0.530-0.804, P<0.001; 50-64 years old: OR=0.695, 95%CI: 0.560-0.864, P=0.001; high school/technical secondary school/technical School: OR=0.679, 95%CI: 0.593-0.777, P<0.001; college graduation: OR=0.478, 95%CI: 0.387-0.590, P<0.001; bachelor degree and above: OR=0.435, 95%CI: 0.347-0.546, P<0.001), while employment (OR=1.631, 95%CI: 1.330-2.000, P<0.001) and married/cohabitation (OR=1.340, 95%CI: 1.093-1.644, P=0.038) were negative factors for regular exercise. Conclusions: The rate of regular exercise in 18-64 year-old labor force population in Beijing needs to be improved. Older age and high educational level were positive factors for regular exercise, while being married and employed were negative factors for it.
Adolescent ; Adult ; Beijing ; Employment ; Exercise ; Female ; Humans ; Leisure Activities ; Male ; Middle Aged ; Sedentary Behavior ; Young Adult