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ObjectiveTo analyze the current occupational health literacy (OHL) level and its influencing factors among drivers in transportation industry. Methods A total of 880 drivers of taxi companies, passenger transport companies, freight companies and online booking companies were selected as the research subjects using the judgment sampling method. The Occupational Health Literacy Questionnaire of National Key Populations was used to conduct a survey on their OHL levels via online questionnaires, and the influencing factors of OHL were analyzed. Results The OHL level of the research subjects was 54.32% (478/880). The OHL levels in the dimensions of occupational health legal knowledge, basic knowledge of occupational health protection, basic skills of occupational health protection, healthy working style and behavior were 55.34%, 79.55%, 58.30% and 46.25%, respectively. The results of the multivariate logistic regression analysis showed that the OHL levels of drivers in passenger transport and freight companies were higher than that in taxi companies (all P<0.01). The OHL levels of drivers in private enterprises, foreign-funded enterprises, and other enterprises were lower than those in state-owned enterprises (all P<0.05). The OHL levels of drivers in large enterprises were lower than that of drivers in micro-enterprises (P<0.05). The OHL levels of drivers worked >5-10 years and >10 years were lower than that of drivers working 1-5 years (all P<0.05). Conclusion There is a considerable room for improvement in the OHL levels of drivers in the transportation industry. The category, economic type, and scale of the employing unit and driving work year of the current position are the main influencing factors of OHL levels.
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Objective To investigate the awareness of occupational health knowledge and concept of front-line workers in the automobile manufacturing industry. Methods A total of 1 188 front-line workers from 47 automobile manufacturing enterprises in Guangdong Province were selected as the research subjects using the judgment sampling method. The awareness of occupational health knowledge and concept of the workers was investigated using the Personal Questionnaire for National Survey of Occupational Health Literacy for Key Populations. Results The median (25th and 75th percentiles) awareness of occupational health knowledge and concept among the research subjects was 56.00% (44.00%, 64.00%). The awareness was higher among male workers than female workers (P<0.05). The awareness was higher among married workers than workers with other marital status (P<0.05). The awareness of workers with an education level of middle school or below was lower than those in the senior high school and junior college group and bachelor's degree or above group (all P<0.05). The awareness of workers in the group with personal monthly income <5 000 was lower than that in the other two income groups with personal monthly income ≥5 000 (all P<0.05). The awareness of workers in medium and large enterprises was higher than that of workers in small and micro enterprises (all P<0.05). The awareness of workers in foreign-funded enterprises was higher than that in private enterprises and other enterprises (all P<0.05). The awareness of workers with job tenure >5-10 and >10 years was higher than that in workers with job tenure of 1-≤5 years (P<0.05). The awareness for the 25 items of occupational health knowledge and concept among the research subjects ranged from 6.14% to 96.72%, with an average awareness of 54.46% for the 25 items. Conclusion The awareness of occupational health knowledge and concept of front-line workers in automobile manufacturing industry is not high in general, and it is influenced by gender, marriage status, education level, personal monthly income, enterprise nature and scale, and job tenure.
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Background Under the background of global climate change, temperature has increased dramatically. Most studies about association between temperature and human health are conducted in low-altitude areas, but rarely focus on plateau areas. Objective To examine the association between temperature and non-accidental mortality risk in Tibet Plateau, China and to identify vulnerable populations for formulating targeted policies of climate change adaptation. Methods The mortality data, meteorological data, and pollutant data of Tibet area between 2013 to 2019 were collected. Based on time-stratified case-crossover design, conditional logistic regression models were used to analyze the exposure-response relationship between temperature and cause-specific mortality, which was linearized to obtain excess risk for 1 ℃ change; attributable fraction was calculated for assessing burden attributable to temperature; and stratified analyses were further conducted by gender, age (＜65 years old, ≥65 years old), and causes of death (cardiovascular diseases, cerebrovascular diseases, and respiratory diseases). Sensitivity analyses were conducted by adjusting model parameters and variables. Results A total of 26 045 non-accidental deaths were collected in Tibet during 2013 and 2019, and the P50 of temperature was 5.0 ℃. The non-accidental mortality risk increased as temperature become colder. A 1 ℃ decrease in temperature was associated with a 2.01% (95%CI: 0.94%-3.07%) increase in total non-accidental mortality, while the association changed to 2.05% (95%CI: 0.62%-3.47%) for male and 1.96% (95%CI: 0.34%-3.56%) for female, both of statistial significance; 1.45% (95%CI: −0.10%-2.98%) for the people <65 years old (not of significance) and 2.52% (95% CI : 1.04%-3.99%) for the people ≥65 years old (of significance); the excess risk for cardiovascular mortality was 2.65% (95%CI: 1.03%-4.24%), for cerebrovascular mortality was 3.70% (95%CI: 0.74%-6.57%), both of statistical significance, and for respiratory mortality was 2.18% (95%CI: −0.14%-4.44%), without significance. The total attribution number of non-accidental mortality was 5340 (95%CI: 2719-7528), and the total attributable fraction was 20.50% (95%CI: 10.44%-28.91%). The attributable fractions were higher in specific subgroups like male (20.72%), people ≥65 years (23.33%), and people with cardiovascular diseases (26.07%). Conclusion The exposure-response relationship between temperature and non-accidental mortality in Tibet showes that the non-accidental mortality risk increase as temperature become colder. The attributable burden of disease is heavy. Residents being male, ≥65 years, with cardiovascular diseases and respiratory diseases may be vulnerable to nonoptimal temperature.
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Objective To compare the epidemiological characteristics of COVID-19 in Guangzhou and Wenzhou, and evaluate the effectiveness of their prevention and control measures. Methods Data of COVID-19 cases reported in Guangzhou and Wenzhou as of 29 February, 2020 were collected. The incidence curves of COVID-19 in two cities were constructed. The real time reproduction number ( R t ) of COVID-19 in two cities was calculated respectively. Results A total of 346 and 465 confirmed COVID-19 cases were analysed in Guangzhou and Wenzhou, respectively. In two cities, most cases were aged 30-59 years (Guangzhou: 54.9%; Wenzhou: 70.3%). The incidence curve peaked on 27 January, 2020 in Guangzhou and on 26 January, 2020 in Wenzhou, then began to decline in both cities. The peaks of imported COVID-19 cases from Hubei occurred earlier than the peak of COVID-19 incidences in two cities, and the peak of imported cases from Hubei occurred earlier in Wenzhou than in Guangzhou. In early epidemic phase, imported cases were predominant in both cities, then the number of local cases increased and gradually took the dominance in Wenzhou. In Guangzhou, the imported cases was still predominant. Despite the different epidemic pattern, the R t and the number of COVID-19 cases declined after strict prevention and control measures were taken in Guangzhou and in Wenzhou. Conclusion The time and scale specific differences of imported COVID-19 resulted in different epidemic patterns in two cities, but the spread of the disease were effectively controlled after taking strict prevention and control measures.