RESUMO
BACKGROUND: High levels of public awareness regarding the hazards of asbestos, rights to health, and benefits of an asbestos-free country can increase advocacy and political commitment to a total ban on asbestos. We aimed to investigate asbestos awareness and associated sociodemographic characteristics among the adult population of St. Kitts and Nevis. METHODS: In this cross-sectional study, 1009 participants completed an online questionnaire with questions about sociodemographic data and asbestos awareness. We applied multiple regression models to estimate associations between sociodemographic factors, levels of asbestos knowledge, and attitudes toward asbestos management. RESULTS: We found that 70% of residents of St. Kitts and Nevis considered asbestos exposure to be a general public concern and believed the government should prevent it. Of all participants, 54% were in favor of completely banning the use and importation of all asbestos products and materials; those with higher levels of asbestos knowledge were more likely to favor a total ban. Higher proportions and odds of favoring a total asbestos ban were also observed in participants aged ≥ 30 years, women, those with higher education, and those living in St. Kitts (vs. Nevis). CONCLUSIONS: These findings support implementing policies to regulate and outright ban the use of asbestos products and materials in St. Kitts and Nevis. This data can be used to develop tailored campaigns to improve asbestos knowledge among sociodemographic groups with lower asbestos awareness, such as in the wider Caribbean and other under-resourced countries.
Assuntos
Etnicidade , Governo , Adulto , Estudos Transversais , Feminino , Humanos , São Cristóvão e Névis , Inquéritos e QuestionáriosRESUMO
The air pollution emitted by petrochemical industrial complexes (PICs) may affect the respiratory health of surrounding residents. Previous meta-analyses have indicated a higher risk of lung cancer mortality and incidence among residents near a PIC. Therefore, in this study, a meta-analysis was conducted to estimate the degree to which PIC exposure increases the risk of the development of nonmalignant respiratory symptoms among residents. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to systematically identify, select, and critically appraise relevant research. Finally, we identified 16 study groups reporting 5 types of respiratory symptoms: asthma, bronchitis, cough, rhinitis, and wheezing. We estimated pooled odds ratios (ORs) using random-effect models and investigated the robustness of pooled estimates in subgroup analyses by location, observation period, and age group. We determined that residential exposure to a PIC was significantly associated with a higher incidence of cough (OR = 1.35), wheezing (OR = 1.28), bronchitis (OR = 1.26), rhinitis (OR = 1.17), and asthma (OR = 1.15), although the latter two associations did not reach statistical significance. Subgroup analyses suggested that the association remained robust across different groups for cough and bronchitis. We identified high heterogeneity for asthma, rhinitis, and wheezing, which could be due to higher ORs in South America. Our meta-analysis indicates that residential exposure to a PIC is associated with an increased risk of nonmalignant respiratory symptoms.
Assuntos
Poluentes Atmosféricos , Poluição do Ar , Indústria de Petróleo e Gás , Doenças Respiratórias , Poluentes Atmosféricos/toxicidade , Exposição Ambiental , Humanos , Incidência , Sons Respiratórios , Doenças Respiratórias/epidemiologia , América do Sul , TailândiaRESUMO
BACKGROUND: Zika virus (ZIKV) infection is a pandemic and a public health emergency. It is transmitted by mosquitoes, primarily the Aedes genus. In light of no treatment currently, it is crucial to develop effective vector control programs to prevent the spread of ZIKV infection earlier when observing possible risk factors, such as weather conditions enhancing mosquito breeding and surviving. METHODS: This study collected daily meteorological measurements and weekly ZIKV infectious cases among 32 departments of Colombia from January 2015-December 2016. This study applied the distributed lag nonlinear model to estimate the association between the number of ZIKA virus infection and meteorological measurements, controlling for spatial and temporal variations. We examined at most three meteorological factors with 20 lags in weeks in the model. RESULTS: Average humidity, total rainfall, and maximum temperature were more predictable of ZIKV infection outbreaks than other meteorological factors. Our models can detect significantly lagged effects of average humidity, total rainfall, and maximum temperature on outbreaks up to 15, 14, and 20 weeks, respectively. The spatial analysis identified 12 departments with a significant threat of ZIKV, and eight of those high-risk departments were located between the Equator and 6°N. The outbreak prediction also performed well in identified high-risk departments. CONCLUSION: Our results demonstrate that meteorological factors could be used for predicting ZIKV epidemics. Building an early warning surveillance system is important for preventing ZIKV infection, particularly in endemic areas.