Rapid and ultrasensitive detection of pathogen-associated biomarkers is vital for the early diagnosis and therapy of bacterial infections. Herein, we developed a close-packed and ordered Au@AgPt array coupled with a cascade triggering strategy for surface-enhanced Raman scattering (SERS) and colorimetric identification of the Staphylococcus aureus biomarker micrococcal nuclease (MNase) in serum samples. The trimetallic Au@AgPt nanozymes can catalyze the oxidation of 3,3',5,5'-tetramethylbenzidine (TMB) molecules to SERS-enhanced oxidized TMB (oxTMB), accompanied by the color change from colorless to blue. In the presence of S. aureus, the secreted MNase preferentially cut the nucleobase AT-rich regions of DNA sequences on magnetic beads (MBs) to release alkaline phosphatase (ALP), which subsequently mediated the oxTMB reduction for inducing the colorimetric/SERS signal fade away. Using this "on-to-off" triggering strategy, the target S. aureus can be recorded in a wide linear range with a limit of detection of 38 CFU/mL in the colorimetric mode and 6 CFU/mL in the SERS mode. Meanwhile, the MNase-mediated strategy characterized by high specificity and sensitivity successfully discriminated between patients with sepsis (n = 7) and healthy participants (n = 3), as well as monitored the prognostic progression of the disease (n = 2). Overall, benefiting from highly active and dense "hot spot" substrate, MNase-mediated cascade response strategy, and colorimetric/SERS dual-signal output, this methodology will offer a promising avenue for the early diagnosis of S. aureus infection.

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.

Rapid and ultrasensitive detection of pathogen-associated biomarkers is vital for the early diagnosis and therapy of bacterial infections.Herein,we developed a close-packed and ordered Au@AgPt array coupled with a cascade triggering strategy for surface-enhanced Raman scattering(SERS)and colorimetric identification of the Staphylococcus aureus biomarker micrococcal nuclease(MNase)in serum samples.The trimetallic Au@AgPt nanozymes can catalyze the oxidation of 3,3',5,5'-tetramethylbenzidine(TMB)molecules to SERS-enhanced oxidized TMB(oxTMB),accompanied by the color change from colorless to blue.In the presence of S.aureus,the secreted MNase preferentially cut the nucleobase AT-rich regions of DNA sequences on magnetic beads(MBs)to release alkaline phosphatase(ALP),which subsequently mediated the oxTMB reduction for inducing the colorimetric/SERS signal fade away.Using this"on-to-off"triggering strategy,the target S.aureus can be recorded in a wide linear range with a limit of detection of 38 CFU/mL in the colorimetric mode and 6 CFU/mL in the SERS mode.Meanwhile,the MNase-mediated strategy characterized by high specificity and sensitivity successfully discriminated between patients with sepsis(n=7)and healthy participants(n=3),as well as monitored the prog-nostic progression of the disease(n=2).Overall,benefiting from highly active and dense"hot spot"substrate,MNase-mediated cascade response strategy,and colorimetric/SERS dual-signal output,this methodology will offer a promising avenue for the early diagnosis of S.aureus infection.

Abstract The health literacy level among the elderly in China remains at a low level. The 14th Five-Year Plan for Healthy Aging clearly points out that health literacy promotion projects should be implemented to improve the health literacy level among the elderly. The health literacy promotion strategies for the elderly require individual, social, policy and environmental supports. This article reviewed four types of health literacy promotion strategies for the elderly, including social strategies, lecture-based health education strategies, new media-based health communication strategies and environmental strategies. It also proposed that health education institutions, communities and other parties should work together, take advantage of digital technology and internet, and take various measures simultaneously to improve the health literacy of the elderly.

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 investigate the prevalence of estimated glomerular filtration (eGFR) and risk factors among middle-aged and elderly residents in Beijing.Methods:In August-December of 2017, 6 549 residents aged 45-79 years old were randomly selected in the study by stratified multi-stage cluster sampling method. The investigation was performed by questionnaire, physical examination and laboratory tests. The contents of questionnaire included the demographic characteristic and prevalence of chronic disease. Blood pressure was tested. Fasting venous blood was collected to test the level of total cholesterol (TC), high density lipoprotein cholesterol (HLDL), low density lipoprotein cholesterol (LDL), triglyceride (TG), fasting blood-glucose (FBG), blood creatinine (Cr) and serum uric acid (UA). The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation was used to estimate GFR(eGFR). The decreased GFR was defined as eGFR less than 60 ml/min per 1.73 m 2. The statistical software SPSS 20.0 was used for analysis. The general linear model, test of independence of rows and columns, logistic regression for complex samples were generalized. The weighted mean and weighted rate were analyzed. Results:The average level of eGFR was (100.51±0.54) ml/min per 1.73 m 2. The rate of decreased GFR was 1.28%, and it showed a higher rate in subjects aged 70-79 years-old, living in urban area, with history of cardiovascular disease, hypertension, diabetes mellitus, hyperuricemia (4.53%, 1.57%, 2.90%, 2.27%, 2.12% and 4.62%; F=30.827, 10.588, 11.466, 34.693, 6.788,51.643, all P<0.05) . Logistic regression analysis of complex sampling showed that 70-79 years old ( OR=4.435, 95 %CI:2.402-8.191), living in urban area ( OR=3.145, 95 %CI: 1.540-6.420), hypertension ( OR=4.663, 95 %CI:2.177-9.988), hyperuricemia ( OR=6.751, 95 %CI:3.363-13.553) were associated with decreased GFR (all P<0.05). Conclusion:The prevalence of the decreased eGFR among middle-aged and elderly residents in Beijing is higher than the average level in the eastern part of China. Hypertension, hyperuricemia, the old age and living in urban are risk factors of decreased GFR.

Objective:To understand the awareness of smoking hazards and intention of smoking concession in residents aged 18-65 years in Beijing, and provide scientific evidence for the development and improvement of tobacco control policies and measures.Methods:Data were collected from the 2017 Beijing Non-communicable and Chronic Disease surveillance. A multi-stage stratified cluster sampling method was used to take samples from 165 communities in 16 districts of Beijing. Logistic regression was used to analyze the influencing factors.Results:Among 11 594 participants, 49.93% had no intention of smoking concession. The percentage of refusing smoking concession was higher in men (50.39%) than in women (43.01%), the difference was significant ( χ2=14.211, P=0.002), and higher in suburban residents (56.78%) than in urban residents (45.30%), the difference was significant ( χ2=51.977, P<0.001). For the smoking cessation motivation, "illness" was the reason for more former smokers (29.88%) compared with current smokers (11.50%), the difference was significant ( χ2=85.865, P<0.001). The awareness rates of smoking hazards was higher in women (34.97%) than in men (32.63%), the difference was significant ( Z=5.612, P<0.001), higher in suburban residents (35.44%) than in urban residents (33.03%), the difference was significant ( Z=-3.734, P<0.001), and higher in never smokers (35.15%) than in smokers (30.06%), the difference was significant ( χ2=62.277, P=0.005). Multiple logistic regression analysis results showed people with general awareness ( OR=0.61, 95 %CI: 0.39-0.94) and poor awareness ( OR=0.67, 95 %CI: 0.50-0.90) of smoking hazards were less likely to quit smoking and people with general awareness ( OR=0.64, 95 %CI: 0.53-0.76) and poor awareness ( OR=0.87, 95 %CI: 0.78-0.98) of smoking hazards were more likely to smoke. Conclusions:Smokers aged 18-65 in Beijing had low willingness for smoking cessation. Health problem was main consideration for smoking cessation. Never-smokers had better awareness of smoking hazards than smokers, and the awareness of smoking hazards was an influencing factor of smoking status.

Objective:To understand the status quo of sleep and its associations with serum hemoglobin A1c (HbA1c) among nondiabetic people of 18-79 years old in Beijing.Methods:Data was gathered from the 2017 Beijing Non-communicable and Chronic Disease Surveillance Program. Multiple classified clusters sampling method was used while the 18-79 years old were sampled from the 16 districts of Beijing. Questionnaires would include information on demographic characteristics, chronic diseases and related risk factors, sleep duration and related problems (snore/asphyxia, difficult to get to sleep, waking often during the night, waking up early or taking sleeping pills) within the last 30 days. Complex sampling logistic regression models were established to analyze the association between sleep-related problems and serum HbA1c.Results:A total of 11 608 non-diabetic participants were involved in this study, with average age, reported sleep duration and median of serum HbA1c level as (43.36±15.27) years old, (7.49±1.29) h/d and 5.30%, respectively. 47.38% of them reported having sleep problems within the last 30 days. With the increasing time of sleep, serum HbA1c level was fluctuating significantly ( F=413.06, P<0.01). Significant differences appeared in serum HbA1c levels among different age groups ( t=358.3, P<0.01). Among participants with several kinds of sleep problems, the serum HbA1c levels were significantly higher than those without, through the single factor analysis ( U=15.11, P<0.01). After adjusting for potential confounding factors, the combination of one sleep-related problem ( OR=1.21, 95% CI: 1.03-1.41) and snore/asphyxia were associated with higher serum HbA1c levels (HbA1c≥5.7%) ( OR=1.37, 95% CI: 1.16-1.61). People under 60 years of age were with higher risk of having higher serum HbA1c levels. Conclusion:Duration and sleep-related problems might affect the serum HbA1c levels, especially among those younger than 60 years of age.