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An occupational health survey on health utility and occupational diseases in Chinese university staff to inform cost-utility analysis

Bibliographic Data

ID22067321
AuthorsXiaoyan Liu (0000-0002-8276-907X, University of Shanghai for Science and Technology), Hui-Jun Zhou (0000-0001-9950-7693, University of Shanghai for Science and Technology, corresponding author), Huijun Zhou, Jie Wei (0009-0003-5437-6345, Air Force General Hospital PLA), Minghui Li (0000-0001-7847-9240, University of Tennessee Health Science Center), Guofen Luo (University of Shanghai for Science and Technology), Nasheen Naidoo (0000-0001-8613-4808, Stellenbosch University), Guang Zhang (0000-0002-2307-9538, University of Shanghai for Science and Technology), Ye Bi (0000-0002-6626-3589), Mengmeng Gao (0009-0009-6113-2078, University of Shanghai for Science and Technology)
Year2023
Volume10
Pages1022344-1022344
Publication date2023-01-10
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.1022344
PMID36703839
OpenAlexW4315488537
LanguageEN
References cited48

Background: The occupational health of university staff bears great social and economic value for which health utility is an indivisible aspect. Utility is also the primary data for the cost-utility analysis of occupational health programs. Health utility and occupational diseases have not been reported for the university staff in China. In the light of "Healthy China," we conducted this study aiming to (1) estimate the health utility of university staff to inform cost-utility analysis and (2) screen and identify potential occupational diseases for this occupation and examine their impacts on health. Methods: -test, chi-square test, and correlation techniques. Multivariate generalized linear models were applied to evaluate the significance of each health condition when controlling for other factors. Results: = 154) had a mean age of 40.65 years and consisted of slightly more women (51.30%). Participants attained a mean (standard deviation) health utility of 0.945 (0.073). The most affected domain was anxiety/depression with 62 (40.26%) participants reporting problems, followed by pain/discomfort which captured 60 (37.66%) staff with problems. Thus, pain and psychologically related conditions were prevalent. Multivariate models identified two conditions that can significantly reduce the health utility. The psychological/emotional conditions were associated with a utility loss of -0.067 (95%CI: -0.089, -0.045). The pain in body parts other than the head, neck, and back reduced the utility by -0.034 (95%CI: -0.055, -0.014). Conclusion: Working-age staff in Chinese universities may have a lower health utility than the general population. Psychological conditions and musculoskeletal pain appear like occupational diseases. With the health utility data available, economic evaluation of cost-utility should follow up to facilitate the implementation of cost-effective programs

Anxiety · Environmental health · Health care · Mental health · Multivariate analysis · Multivariate statistics · Occupational safety and health · Psychiatry · Statistics · Univariate · Health Systems, Economic Evaluations, Quality of Life · Medicine · Musculoskeletal pain and rehabilitation · Nursing · Psychology · Workplace Health and Well-being · Gerontology

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