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.

BACKGROUND: The global rise in diabetes prevalence is a pressing concern. Despite initiatives like "The Healthy Beijing Action 2020-2030" advocating for increased awareness, treatment, and control, the specific situation in Beijing remains unexplored. This study aimed to analyze the trends in diabetes prevalence, awareness, treatment, and control among Beijing adults. METHODS: Through a stratified multistage probability cluster sampling method, a series of representative cross-sectional surveys were conducted in Beijing from 2005 to 2022, targeting adults aged 18-79 years. A face-to-face questionnaire, along with body measurements and laboratory tests, were administered to 111,943 participants. Data from all survey were age- and/or gender-standardized based on the 2020 Beijing census population. Annual percentage rate change (APC) or average annual percentage rate change (AAPC) was calculated to determine prevalence trends over time. Complex sampling logistic regression models were employed to explore the relationship between various characteristics and diabetes. RESULTS: From 2005 to 2022, the total prevalence of diabetes among Beijing adults aged 18-79 years increased from 9.6% (95% CI: 8.8-10.4%) to 13.9% (95% CI: 13.1-14.7%), with an APC/AAPC of 2.1% (95% CI: 1.1-3.2%, P <0.05). Significant increases were observed among adults aged 18-39 years and rural residents. Undiagnosed diabetes rose from 3.5% (95% CI: 3.2-4.0%) to 7.2% (95% CI: 6.6-7.9%) with an APC/AAPC of 4.1% (95% CI: 0.5-7.3%, P <0.05). However, diabetes awareness and treatment rates showed annual declines of 1.4% (95% CI: -3.0% to -0.2%, P <0.05) and 1.3% (95% CI: -2.6% to -0.2%, P <0.05), respectively. The diabetes control rate decreased from 21.5% to 19.1%, although not statistically significant (APC/AAPC = -1.5%, 95% CI: -5.6% to 1.9%). Overweight and obesity were identified as risk factors for diabetes, with ORs of 1.65 (95% CI: 1.38-1.98) and 2.48 (95% CI: 2.07-2.99), respectively. CONCLUSIONS The prevalence of diabetes in Beijing has significantly increased between 2005 and 2022, particularly among young adults and rural residents. Meanwhile, there has been a concerning decrease in diabetes awareness and treatment rates, while control rates have remained stagnant. Regular blood glucose testing, especially among adults aged 18-59 years, should be warranted. Furthermore, being male, elderly, overweight, or obese was associated with higher diabetes risk, suggesting the needs for targeted management strategies.
Humans ; Adult ; Middle Aged ; Male ; Female ; Aged ; Adolescent ; Young Adult ; Cross-Sectional Studies ; Diabetes Mellitus/epidemiology* ; Beijing/epidemiology* ; Prevalence ; China/epidemiology* ; Surveys and Questionnaires

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 analyze the epidemiological and pathogenic characteristics of acute respiratory in-fection in Yangpu District of Shanghai,and to provide scientific basis for the prevention and treatment of re-spiratory tract infection.Methods A total of 1 062 patients diagnosed with acute respiratory infection in the hospital from June 2023 to June 2024 were selected as the research objects.The nucleic acid of 13 pathogens in nasopharyngeal swabs of patients was detected and the positive rate was calculated.The positive rate of differ-ent age groups and seasons was analyzed.Results Among 1 062 patients,716 cases were detected positive,the total positive rate was 67.42%,of which 577 cases were single infection,the positive rate was 54.33%.The top five positive pathogens were Mycoplasma pneumoniae(MP,16.48%),human coronavirus(HCOV,9.42%),human rhinovirus(HRV,7.63%),human metapneumovirus(HMPV,5.46%)and parainfluenza vi-rus(HPIV,3.39%).A total of 139 cases were infected with multiple pathogens,with a positive rate of 13.09%.MP,HRV,and HCOV were the dominant pathogens,which were prone to multiple infections.A to-tal of 139 cases were infected with multiple pathogens,with a positive rate of 13.09%.MP,HRV,and HCOV were the dominant pathogens,which were prone to multiple infections.The total positive rate of respiratory pathogens in children was 86.38%,the positive rates of single infection and multiple infection were 65.12%and 21.26%,respectively,which were significantly higher than those in other age groups(P<0.05).Among the 577 children with single infection,MP and HRV were the main pathogens in children,MP and HCOV were the main pathogens in young and middle-aged patients,and HCOV and HRV were the main pathogens in the elderly patients.The total positive rate of pathogens was the highest in winter(69.88%),and the lowest in summer(49.54%).HRV had the highest positive rate in spring,HCOV had the highest positive rate in summer,MP had the highest positive rate in autumn,and influenza virus(including influenza A virus,influen-za A/H3N2 virus,influenza B virus)had the highest positive rate in winter(P<0.05).Conclusion MP,HCOV,HRV,HMPV and HPIV are the top five pathogens of acute respiratory tract infection in Yangpu dis-trict of Shanghai.The etiological characteristics were related to age and seasonality of patients.

[This corrects the article DOI: 10.1016/j.apsb.2024.03.030.].

OBJECTIVE To investigate the current status and characteristics of occupational exposure in a stomato-logical hospital and explore the influencing factors for occupational exposure among dentists so as to propose pre-ventive and control measures for occupational exposure in the stomatological hospital.METHODS A retrospective study was carried out to analyze 180 incidents of occupational exposures in Qingdao Stomatological Hospital Affili-ated to Qingdao University from 2020 to 2024,involving the departments,names,genders,age,average annual workload,average annual outpatient days,exposure links,instruments leading to exposures,exposure sources,occupational type and professional titles.The incidence of occupational exposure was compared among the subjects with different occupations,professional titles and department affiliations.Logistic regression analysis was per-formed for the influencing factors for the occupational exposures among the dentists.RESULTS The incidence of occupational exposures was 7.52％(180/2395)within the 5 years,and the sharp instrument injury(99.40％)was the predominant exposure approach.The department of oral and maxillofacial surgery,department of restorative dentisty and department of prosthodontics were the departments at high risk of occupational exposures.There was significant difference in the incidence of occupational exposures among the staff and the doctors with different pro-fessional titles(P＜0.05).The subjects for whom the exposure source was positive or failed to be tracked accoun-ted for 56.11％.The professional title(OR=0.328)was a protective factor for the occupational exposure among the doctors,and the high-risk department(OR=4.912)was a risk factor for the occupational exposure(P＜0.05).CONCLUSIONS The occupational exposures to the stomatology department staff are characterized by high prevalence,monotonous type,concentrated distribution of populations and uncontrollable occupational exposures.It is necessary to complete the preoperative screening of infectious diseases,strengthen the awareness of prevention,standardize the technical procedures and boost the innovation of auxiliary instruments so as to re-duce the incidence of occupational exposures.

OBJECTIVE To investigate the current status and characteristics of occupational exposure in a stomato-logical hospital and explore the influencing factors for occupational exposure among dentists so as to propose pre-ventive and control measures for occupational exposure in the stomatological hospital.METHODS A retrospective study was carried out to analyze 180 incidents of occupational exposures in Qingdao Stomatological Hospital Affili-ated to Qingdao University from 2020 to 2024,involving the departments,names,genders,age,average annual workload,average annual outpatient days,exposure links,instruments leading to exposures,exposure sources,occupational type and professional titles.The incidence of occupational exposure was compared among the subjects with different occupations,professional titles and department affiliations.Logistic regression analysis was per-formed for the influencing factors for the occupational exposures among the dentists.RESULTS The incidence of occupational exposures was 7.52％(180/2395)within the 5 years,and the sharp instrument injury(99.40％)was the predominant exposure approach.The department of oral and maxillofacial surgery,department of restorative dentisty and department of prosthodontics were the departments at high risk of occupational exposures.There was significant difference in the incidence of occupational exposures among the staff and the doctors with different pro-fessional titles(P＜0.05).The subjects for whom the exposure source was positive or failed to be tracked accoun-ted for 56.11％.The professional title(OR=0.328)was a protective factor for the occupational exposure among the doctors,and the high-risk department(OR=4.912)was a risk factor for the occupational exposure(P＜0.05).CONCLUSIONS The occupational exposures to the stomatology department staff are characterized by high prevalence,monotonous type,concentrated distribution of populations and uncontrollable occupational exposures.It is necessary to complete the preoperative screening of infectious diseases,strengthen the awareness of prevention,standardize the technical procedures and boost the innovation of auxiliary instruments so as to re-duce the incidence of occupational exposures.

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.

BACKGROUND: Tissue engineering is increasingly viewed as a promising avenue for functional cartilage reconstruction.However, chondrocyte dedifferentiation during in vitro culture remains an obstacle for clinical translation of tissue engineered cartilage. Re-differentiated induction have been employed to induce dedifferentiated chondrocytes back to their original phenotype. Regrettably, these strategies have been proven to be only moderately effective. METHODS: To explore underlying mechanism, RNA transcriptome sequencing was conducted on primary chondrocytes (P0), dedifferentiated chondrocytes (P5), and redifferentiated chondrocytes (redifferentiation-induction of P5, P5.R). Based on multiple bioinformatics analysis, LGR5 was identified as a target gene. Subsequently, stable cell lines with LGR5 knocking-down and overexpression were established using P0 chondrocytes. The phenotypic changes in P1 and P5 chondrocytes with either LGR5 knockdown or overexpression were assessed to ascertain the potential influence of LGR5 dysregulation on chondrocyte phenotypes. Regulatory mechanism was then investigated using bioinformatic analysis, protein–protein docking, immunofluorescence co-localization and immunoprecipitation. RESULTS: The current study found that dysregulation of LGR5 can significantly impact the dedifferentiated phenotypes of chondrocytes (P5). Upregulation of LGR5 appears to activate the PI3K/AKT signal via increasing the phosphorylation levels of AKT (p-AKT1). Moreover, the increase of p-AKT1 may stabilize b-catenin and enhance the intensity of Wnt/b-catenin signal, and help to restore the dedifferentated phenotype of chondrocytes. CONCLUSION LGR5 can modulate the phenotypes of chondrocytes in P5 passage through PI3K/AKT signaling pathway.