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Zhi An Wang on Muck Rack

Zhi An Wang

As seen in: Nature, PLOS ONE, ScienceDirect, BMJ Open, Frontiers, Frontiers in Public Health, MDPI, South China Morning Post, Taylor & Francis Online, ACS Publications and
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Articles

Associations between dietary factors and morbidity burden in occupational radiation workers: a cross-sectional study in Guangzhou, China

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By Hai-Bo Huang, Yan Zhang, Yi-Wei Su, Shi-Feng Hou, Qiang-Qiang Wang, Si-Qi Tang, Peng Rao, Zhi An Wang, Jian-Yu Wang
| Frontiers
Abstract Objective: This cross-sectional study aimed to investigate the associations between dietary factors and morbidity burden among occupational radiation workers in Guangzhou, China, a population with chronic low-dose radiation exposure. Methods: From January to December 2024, 1,080 medical radiation workers were enrolled. Dietary intake was assessed using a validated food frequency questionnaire, and morbidity burden was defined as the presence of clinically diagnosed chronic conditions.
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Association between occupational noise exposure and metabolic dysfunction-associated fatty liver disease: the mediating role of body mass index in automotive manufacturing workers

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By Zhaoqian Chen, Jiaheng Yu, Yanmei Ruan, Xing Rong, Yuxia Zhang, Jiaxin Cui, Zhi An Wang, Sijia Ou, Haijuan Huang
| Frontiers in Public Health Verified
Abstract Background: Occupational noise exposure has been linked to various adverse health outcomes, including metabolic disorders. However, limited evidence exists regarding its association with metabolic dysfunction-associated fatty liver disease (MAFLD). This study aimed to investigate the association between occupational noise exposure and MAFLD among automotive manufacturing workers, providing scientific evidence for the prevention and management of MAFLD in occupational populations.
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Chinese provinces–embedded inter-country input-output datasets with firm ownership heterogeneity

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By Zhi An Wang, Yuanjie Xi
| Nature Verified
Abstract Understanding how domestic and foreign-invested firms across China’s provinces participate in domestic and international production networks has become increasingly important in both scientific research and policy analysis. However, existing data infrastructures, most notably input–output (IO) datasets, does not adequately support this line of inquiry.
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