Objective:To analyze the attributable burden of active smoking on the deaths of cancer in inhabitants aged 30 years and above in Zhejiang Province.Methods:Comparative risk assessment approach in the Global Burden of Disease Study was used with the data from Zhejiang Adult Tobacco Surveillance System and Death Monitoring Surveillance System in 2020, and population attributable fraction (PAF), years of life lost (YLL), work of potential years of life lost (WPYLL) attributed to smoking on the deaths of cancer in inhabitants aged 30 years and above in Zhejiang Province were calculated with a linear regression model.Results:In 2020, there were 81 536 cancer deaths aged 30 years and above in the surveillance areas of Zhejiang Province, of which 24 518 were attributed to active smoking (PAF: 30.07%, attributable mortality rate: 55.04/100 000). The YLL was 553 078 person-years, with a standardized YLL rate of 12.40‰, and the WPYLL was 56 606 person-years. Among various cancer types, laryngeal cancer had the highest smoking-attributable PAF (44.75%), while lung cancer accounted for the most significant number of attributable deaths and life loss, with an age-standardized YLL rate of 4.65‰.Conclusions:Active smoking is a significant risk factor for cancer mortality in Zhejiang Province, with lung cancer posing the most significant disease burden. It is urgent to advance tobacco control legislation, strengthen targeted interventions, and promote early cancer screening to reduce the disease burden associated with smoking-related cancers effectively.

Objective:To analyze the intention to receive influenza vaccination and its associated factors among urban and rural residents aged≥50 in Zhejiang Province, China, in 2024.Methods:This cross-sectional study was conducted between March and May 2024 through a multi-stage intercept survey in 35 counties (cities, districts) selected from a total of 90 in Zhejiang Province, involving 175 communities/villages. The survey targeted residents visiting local hospitals and community health service centers/community health clinics. The questionnaire included basic demographic information, knowledge related to influenza prevention and treatment, chronic disease status, history of influenza vaccination, and intention to vaccinate. Urban and rural residents were classified based on their registered residence, according to the "Rules for Compilation of Statistical Regional Code and Urban-Rural Division Code" issued by the National Bureau of Statistics. Chi-square tests, ANOVA, and multivariate logistic regression models were used to analyze the factors influencing the intention to receive the influenza vaccine.Results:A total of 10 500 participants were surveyed, comprising 4 885 rural residents (46.52%) and 5 615 urban residents (53.48%). Of these, 3 430 rural residents (70.21%) and 3 718 urban residents (66.22%) expressed intention to receive the influenza vaccine. Multivariate logistic regression analysis revealed that for rural residents aged≥50, younger age groups (50-59 years: OR=1.747, 95% CI: 1.290-2.366; 60-69 years: OR=1.838, 95% CI: 1.401-2.411), history of influenza vaccination ( OR=6.721, 95% CI: 5.152-8.767), doctor′s recommendation for vaccination ( OR=3.788, 95% CI: 3.078-4.662), and higher scores on knowledge related to influenza prevention and treatment ( OR=1.090, 95% CI: 1.054-1.128) were significant promoting factors for vaccination intent. For urban residents aged≥50, belonging to the 60-69 age group ( OR=1.264, 95% CI: 1.023-1.563), history of influenza vaccination ( OR=5.392, 95% CI: 4.309-6.748), doctor′s recommendation for vaccination ( OR=5.307, 95% CI: 4.420-6.371), and higher scores on knowledge related to influenza prevention and treatment ( OR=1.051, 95% CI: 1.021-1.082) were significant promoting factors for vaccination intent. Conclusions:The intention to receive the influenza vaccination is notably high among residents aged≥50 in both urban and rural areas of Zhejiang Province, yet there remains potential for improvement. Age, history of influenza vaccination, doctor recommendation, and knowledge related to influenza prevention and treatment are significant factors influencing the intention to receive the influenza vaccination.

Objective:To analyze the pneumococcal vaccination rate and the influencing factors among residents aged≥50 in Zhejiang Province.Methods:This cross-sectional study was conducted between March and May 2024. A multi-stage intercept survey was used to intercept and survey 10 500 residents who visited or underwent physical examinations at 175 community health service centers/clinics in 35 counties (cities, districts) of Zhejiang Province. The questionnaire included basic demographic characteristics, history of pneumonia, chronic disease conditions, pneumococcal vaccination status, doctor recommendation, reasons for vaccination/non-vaccination, and channels for obtaining pneumococcal vaccine information. Participants were grouped based on demographic characteristics, chronic diseases conditions, history of pneumonia and doctor recommendations. The chi-square test was used to assess differences in vaccination rates among demographic groups while binary logistic regression models were used to identify factors affecting the vaccination rate.Results:Among the 10 500 surveyed participants, 1 724 (16.42%) had received pneumococcal vaccination. Binary logistic regression analysis revealed significantly higher vaccination rates among those who received a doctor recommendation compared to those without (26.25% vs 7.59%; OR=4.414, 95% CI: 3.851-5.059). Participants benefiting from the free vaccination policy showed higher vaccination rates than those who didn′t (47.59% vs 5.18%; OR=12.527, 95% CI: 10.723-14.634). The top three reasons for getting vaccinated against pneumonia were the free vaccination policy (65.43%), community promotion (52.15%), and family recommendations (42.34%). The top three sources through which respondents learned about the pneumococcal vaccine were television (64.64%), doctors (59.81%) and family members (50.92%). Conclusion:The pneumococcal vaccination rate among residents aged≥50 years in Zhejiang Province is relatively high but still needs further improvement, with vaccination rates closely associated with factors such as free vaccination policy and doctor recommendation.

Objective:To analyze the attributable burden of active smoking on the deaths of cancer in inhabitants aged 30 years and above in Zhejiang Province.Methods:Comparative risk assessment approach in the Global Burden of Disease Study was used with the data from Zhejiang Adult Tobacco Surveillance System and Death Monitoring Surveillance System in 2020, and population attributable fraction (PAF), years of life lost (YLL), work of potential years of life lost (WPYLL) attributed to smoking on the deaths of cancer in inhabitants aged 30 years and above in Zhejiang Province were calculated with a linear regression model.Results:In 2020, there were 81 536 cancer deaths aged 30 years and above in the surveillance areas of Zhejiang Province, of which 24 518 were attributed to active smoking (PAF: 30.07%, attributable mortality rate: 55.04/100 000). The YLL was 553 078 person-years, with a standardized YLL rate of 12.40‰, and the WPYLL was 56 606 person-years. Among various cancer types, laryngeal cancer had the highest smoking-attributable PAF (44.75%), while lung cancer accounted for the most significant number of attributable deaths and life loss, with an age-standardized YLL rate of 4.65‰.Conclusions:Active smoking is a significant risk factor for cancer mortality in Zhejiang Province, with lung cancer posing the most significant disease burden. It is urgent to advance tobacco control legislation, strengthen targeted interventions, and promote early cancer screening to reduce the disease burden associated with smoking-related cancers effectively.

Objective:To analyze the intention to receive influenza vaccination and its associated factors among urban and rural residents aged≥50 in Zhejiang Province, China, in 2024.Methods:This cross-sectional study was conducted between March and May 2024 through a multi-stage intercept survey in 35 counties (cities, districts) selected from a total of 90 in Zhejiang Province, involving 175 communities/villages. The survey targeted residents visiting local hospitals and community health service centers/community health clinics. The questionnaire included basic demographic information, knowledge related to influenza prevention and treatment, chronic disease status, history of influenza vaccination, and intention to vaccinate. Urban and rural residents were classified based on their registered residence, according to the "Rules for Compilation of Statistical Regional Code and Urban-Rural Division Code" issued by the National Bureau of Statistics. Chi-square tests, ANOVA, and multivariate logistic regression models were used to analyze the factors influencing the intention to receive the influenza vaccine.Results:A total of 10 500 participants were surveyed, comprising 4 885 rural residents (46.52%) and 5 615 urban residents (53.48%). Of these, 3 430 rural residents (70.21%) and 3 718 urban residents (66.22%) expressed intention to receive the influenza vaccine. Multivariate logistic regression analysis revealed that for rural residents aged≥50, younger age groups (50-59 years: OR=1.747, 95% CI: 1.290-2.366; 60-69 years: OR=1.838, 95% CI: 1.401-2.411), history of influenza vaccination ( OR=6.721, 95% CI: 5.152-8.767), doctor′s recommendation for vaccination ( OR=3.788, 95% CI: 3.078-4.662), and higher scores on knowledge related to influenza prevention and treatment ( OR=1.090, 95% CI: 1.054-1.128) were significant promoting factors for vaccination intent. For urban residents aged≥50, belonging to the 60-69 age group ( OR=1.264, 95% CI: 1.023-1.563), history of influenza vaccination ( OR=5.392, 95% CI: 4.309-6.748), doctor′s recommendation for vaccination ( OR=5.307, 95% CI: 4.420-6.371), and higher scores on knowledge related to influenza prevention and treatment ( OR=1.051, 95% CI: 1.021-1.082) were significant promoting factors for vaccination intent. Conclusions:The intention to receive the influenza vaccination is notably high among residents aged≥50 in both urban and rural areas of Zhejiang Province, yet there remains potential for improvement. Age, history of influenza vaccination, doctor recommendation, and knowledge related to influenza prevention and treatment are significant factors influencing the intention to receive the influenza vaccination.

Objective:To analyze the pneumococcal vaccination rate and the influencing factors among residents aged≥50 in Zhejiang Province.Methods:This cross-sectional study was conducted between March and May 2024. A multi-stage intercept survey was used to intercept and survey 10 500 residents who visited or underwent physical examinations at 175 community health service centers/clinics in 35 counties (cities, districts) of Zhejiang Province. The questionnaire included basic demographic characteristics, history of pneumonia, chronic disease conditions, pneumococcal vaccination status, doctor recommendation, reasons for vaccination/non-vaccination, and channels for obtaining pneumococcal vaccine information. Participants were grouped based on demographic characteristics, chronic diseases conditions, history of pneumonia and doctor recommendations. The chi-square test was used to assess differences in vaccination rates among demographic groups while binary logistic regression models were used to identify factors affecting the vaccination rate.Results:Among the 10 500 surveyed participants, 1 724 (16.42%) had received pneumococcal vaccination. Binary logistic regression analysis revealed significantly higher vaccination rates among those who received a doctor recommendation compared to those without (26.25% vs 7.59%; OR=4.414, 95% CI: 3.851-5.059). Participants benefiting from the free vaccination policy showed higher vaccination rates than those who didn′t (47.59% vs 5.18%; OR=12.527, 95% CI: 10.723-14.634). The top three reasons for getting vaccinated against pneumonia were the free vaccination policy (65.43%), community promotion (52.15%), and family recommendations (42.34%). The top three sources through which respondents learned about the pneumococcal vaccine were television (64.64%), doctors (59.81%) and family members (50.92%). Conclusion:The pneumococcal vaccination rate among residents aged≥50 years in Zhejiang Province is relatively high but still needs further improvement, with vaccination rates closely associated with factors such as free vaccination policy and doctor recommendation.

Objective:To investigate the level of health literacy and its influencing factors among residents aged 15-69 years with different chronic disease in Zhejiang Province.Methods:In this cross-sectional study, a stratified multistage whole cluster random sampling method was used to select 19 200 permanent residents aged 15-69 years from 30 monitoring sites in Zhejiang Province from June to November 2022, and a household questionnaire survey was carried out with the National Health Literacy Monitoring Questionnaire for the Population. The content of the survey included socio-demographic characteristics, health-related factors and health literacy level. A total of 19 200 questionnaires were distributed and 19 051 were collected, of which 18 857 (98.98%) were valid. The χ2 test was used to compare the health literacy levels of residents with different chronic diseases, and logistic regression was used to analyze the influencing factors of the health literacy levels. Results:The health literacy level of residents aged 15-69 in Zhejiang Province in 2022 was 38.36%. Among them, the health literacy level of patients with multiple chronic diseases was much lower than those with single chronic disease and those without chronic disease (14.70% vs 25.37%, 42.21%) ( χ2=483.05, P<0.001). It was positively associated between having multiple chronic diseases and insufficient health literacy ( OR=1.26, 95% CI: 1.01-1.58); compared with those without chronic disease ( OR=1.00), patients with multiple chronic diseases were significantly more likely to have inadequate health literacy in basic knowledge and concepts ( OR=1.29, 95% CI: 1.03-1.63), health behaviors ( OR=1.24, 95% CI: 1.01-1.53), basic skills ( OR=1.37, 95% CI: 1.11-1.69), and health information literacy ( OR=1.27, 95% CI: 1.08-1.50). Conclusions:The number of chronic diseases is a key factor that affects the residents′ health literacy level, and people with multiple chronic diseases are often associated with a higher risk of inadequate health literacy.

Objectives: Although adolescents appear less vulnerable to coronavirus disease (COVID-19), the side effects of this pandemic can still be devastating. Bullying and suicidality are significant global issues with detrimental effects on young people, particularly during school closure. This study aimed to identify the relationship between bullying and suicide risk among adolescents in Indonesia during the COVID-19 pandemic. Methods: A cross-sectional study was conducted on adolescents aged 14–18 years in May 2020 in Bandung, Indonesia, using a webbased closed survey. The Adolescent Peer Relations Instrument and the Suicide Behavior Questionnaire-Revised were used to measure bullying and risk of suicide. Multinomial logistic regression analysis was performed. Results: This study included 268 participants in 2020 and 175 participants in 2019. In 2020, the prevalence of perpetrators and victims of bullying combined was 74.6%. Meanwhile, in 2019, the prevalence of perpetrators and victims of bullying combined was 82.9%. Risk of suicide increased from 26.1% in 2019 (before the COVID-19 pandemic) to 36.5% in 2020 (during the first wave of the COVID-19 pandemic). The risk of perpetrators and suicide victims was higher than that of perpetrators and victims alone (odds ratio [OR]=4.0, 95% confidence interval [CI]=1.5–6.6 vs. OR=1.3, 95% CI=1.0–2.9 and OR=1.6, 95% CI=1.1–2.8, respectively). Conclusion Bullying can enhance the likelihood of suicide among adolescents in Indonesia, and the risk was highest for the combination of victims and perpetrators. It is very important to provide early risk prediction for youths with bullying behavior and improve the knowledge and understanding of families and schools regarding the negative effects of bullying behavior.

Objective:To investigate the exposure to tobacco advertisement/promotion and smoking scenes from television/movie/video among middle school students in Zhejiang Province in 2021, and the influence on the knowledge and behavior about smoking of the students.Methods:Total 7 692 students were selected from 60 middle schools with the proportional probability sampling (PPS) method in Zhejiang Province. The investigation was performed with self-administered questionnaire survey which consisted of tobacco use, exposure to tobacco advertisement/promotion, et. The collected data was weighted and analyzed using the complex survey module of SPSS 21.0 software.Results:The prevalence of exposure to tobacco advertisement/promotion and smoking scenes from television/movie/video among the middle school students were 24.8% and 63.8% respectively. In recent 30 d, among those who had been exposed to the tobacco retail point, the proportion of those exposed to tobacco advertisement/promotion was 46.1%, and among those who surfed the internet, the proportion of those exposed to tobacco advertisement/video was 23.4%. Among the whole students, the proportion of those exposed to free tobacco product was 2.4%. The junior middle school students, regular high school students, and vocational school students who had been exposed to tobacco advertisement/promotion were more likely to feel smoking more comfortable in social occasions (5.6%, 6.7%, 8.8%), to feel smoking attractive for the young (9.1%, 8.4%, 8.8%), and also had higher rate of attempted smoking (12.5%, 16.9%, 20.5%) than non-exposed ones (junior middle school students: 2.3%, 5.5%, 4.8%; regular high school students: 2.9%, 2.9%, 9.8%; vocational school students: 4.0%, 4.0%, 15.3%) (all P<0.05). Among the students who had seen television/movie/video within 30 days, the junior middle school students, regular high school students, and vocational school students who had been exposed to smoking-related scenes had higher rate of attempted smoking (8.1%, 14.7%, 20.0%) than non-exposed ones (5.4%, 8.0%, 10.6%) (all P<0.05). Conclusion:The prevalence of exposure to tobacco advertisement/promotion and smoking scenes from television/movie/video are relatively high among the middle school students in Zhejiang province, which make exposed students more likely to report positive attitude to tobacco use, and more likely to smoke, to attempt to smoke.

Objective:To describe the prevalence of tobacco use among college students in Zhejiang Province and analyze the influencing factors of second-hand smoke exposure on campus.Methods:In 2021, college students were selected from 9 colleges through stratified multi-stage cluster sampling from Zhejiang Province and surveyed using questionnaire. A total of 6 530 questionnaires were distributed and 6 035 were returned, with 6 030 valid questionnaires (96.48%). A descriptive analysis of the demography characteristics, cigarettes and electronic cigarettes (e-cigarettes) use, and second-hand smoke exposure of the subjects was carried out, and chi-square test was used for statistical analysis and multivariate logistic regression analysis was used to analyze influencing factors of second-hand smoke exposure on campus.Results:The current smoking rate and current use rate of e-cigarettes among college students were 3.70% and 1.56%, respectively, and the dual use rate of cigarettes and e-cigarettes was 1.16%. The exposure rate of second-hand smoke among college students on campus was 25.06%, while the exposure rate of second-hand smoke in off campus places was 32.35%. The awareness rates of smoking related diseases among college students were as follows: lung cancer (92.02%), heart disease (73.15%), stroke (72.87%), and impotence (64.08%). The awareness rate of second-hand smoke related diseases were as follows: lung cancer in adults (91.11%), heart disease in adults (78.91%), and lung disease in children (89.35%). The multivariate logistic regression analysis showed that seven factors (including gender, school type, major, grade, smoking ban regulations, smoking scenes, and knowledge about the health hazards of second-hand smoke) had a statistically significant impact on college students′ exposure to second-hand smoke at school [ OR=2.63, 0.67, 0.69, (0.39, 0.60, 0.68), 0.51, 1.74, 0.72] (all P<0.01). Conclusions:The use of cigarettes and e-cigarettes among college students in Zhejiang Province is not optimistic, especially the use rate of e-cigarettes is higher than adult. The status of second-hand smoke exposure among college students remains serious, with male students, non-medical students, students of special programs, and senior college students having more severe second-hand smoke exposure on campus, and students with high awareness of second-hand smoke exposure, less exposure to smoking scenes from media, from college with comprehensive smoke-free regulations are less exposed to second-hand smoke on campus.