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Background Occupational pneumoconiosis is the most common occupational disease in Qinghai Province and China. From the perspective of public health, it is important to assess the disease burden using disability-adjusted life years (DALY) and economic losses. Objective To evaluate the disease burden of occupational pneumoconiosis in Qinghai Province, and to provide a basis for the formulation and implementation of relevant prevention and control strategies. Methods Based on the registered data, a database of occupational pneumoconiosis cases confirmed and reported in Qinghai Province was established. The survival status and death dateof occupational pneumoconiosis patients from 2015 to 2019 were confirmed by on-site visit, telephone survey, matching search of Death Information Registration and Management System, and consulting other departments. The life loss due to occupational pneumoconiosis from 2015 to 2019 was assessed using DALY as an indicator and data from the Global Burden of Disease 2019 (GBD 2019) study. Inpatients with officially diagnosed occupational pneumoconiosis from a hospital in Qinghai Province in 2019 were selected as study subjects, the direct economic loss was evaluated with hospitalization expenses, and the indirect economic loss due to occupational pneumoconiosis in Qinghai Province in 2019 was calculated by human capital approach. Results From 2015 to 2019, 505 new cases of occupational pneumoconiosis were reported in Qinghai Province, and there were 348 death cases. Prevalent cases and years lost due to disability (YLD) due to occupational pneumoconiosis were increased, while DALY and years of life lost (YLL) due to occupational pneumoconiosis decreased firstly and then increased. In each year, there were 87% or more of the DALY, YLL, or YLD attributed to silicosis and coal workers' pneumoconiosis. In 2019, the occupational pneumoconiosis-associated DALY was 2173.55 person years. The total hospitalization expense incurred by 42 inpatients with occupational pneumoconiosis was 1256345.19 yuan. The total hospitalization expense and average daily cost of the inpatients with stageⅡand Ⅲ pneumoconiosis were higher than that of the inpatients with stageⅠ (P<0.05), and the hospitalization expense was higher in the ≥60 years age group than in the <60 years age group (P<0.05). In 2019, the indirect economic burden incurred by occupational pneumoconiosis in Qinghai Province was 44108581.65 yuan, and accounted for 0.15‰ of the gross domestic product (GDP) of the province. Conclusion The disease burden associated with occupational pneumoconiosis in Qinghai Province are outstanding. Silicosis and coal workers' pneumoconiosis are the key contributors. Targeted intervention measures including dust hazard control, enterprise management, follow-up and rehabilitation management of pneumoconiosis should be taken to prevent and control the occurrence and progression of pneumoconiosis and alleviate disease burden of pneumoconiosis.
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In this paper, Y2O3:Ho3+ nanocrystals have been prepared by a solution combustion synthesis method. The luminescence properties of defects and Ho3+ ions in yttria nanocrystal have been studied under 325 nm laser excitation. The emissions which were corresponding to 5F4-5I8, 5S2-5I8 and 5G4-5I6 trasitions of Ho3+ were measured. It was observed that the characteristic emissions of Ho3+ were gradually submerged in the broad cingulum emissions with the decrease of the nanoparticle size. The research results indicated that the broad cingulum emissions originated from the defects of nanocrystals. With the decrease of size, surface atoms which have a lot of defects increase relatively. Those surface defects can easily absorb the energy of excitation photons producing the broad spectra emissions. The electron paramagnetic resonance experiments have been performed to definitely reveal the defects information. The electron paramagnetic resonance signal has a slight shift towards the direction of weak magnetic field with the decrease of nanocrystal size, which means that the corresponding g factor becomes bigger in smaller size sample.
