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Onyeso OK, Ugwu AK, Adandom HC, Damag S, Onyeso KM, Abugu JO, Aruma OE, Odole AC, Awosoga OA, Ezema CI. Impact of welding occupation on serum aluminium level and its association with physical health, cognitive function, and quality of life: a cross-sectional study. Int Arch Occup Environ Health 2024; 97:133-144. [PMID: 38110550 DOI: 10.1007/s00420-023-02038-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 11/28/2023] [Indexed: 12/20/2023]
Abstract
OBJECTIVE There is an occupational health concern about welders' inhalation of toxic aluminium fumes. We investigated whether serum aluminium level (SAL) and demographic variables can significantly predict physical health parameters, cognition, and quality of life (QoL) among welders. METHODS The cross-sectional study involved 100 age- and location-matched men (50 welders and 50 non-welders). SAL obtained using a graphite furnace atomic absorption spectrometer, and data collected using blood pressure and body mass index (BMI) apparatuses, biodata form, pain rating scale, General Practitioner Assessment of Cognition, WHOQoL-BREF, and Nordic musculoskeletal symptoms (MSS) questionnaire were analysed using independent samples t test, chi-square, Pearson's correlation, and hierarchical linear regression. RESULTS Welders had significantly higher SAL (mean difference [MD] = 1.77 µg/L, p < 0.001), lower QoL (MD = 3.92, p = 0.039), and higher prevalence of MSS on the neck (χ2 = 10.187, p = 0.001), shoulder (χ2 = 9.007, p = 0.003), upper back (χ2 = 6.832, p = 0.009), and knee (χ2 = 12.190, p < 0.001) than non-welders. There was a significant bivariate association between SAL, systolic blood pressure (β = 0.313, p = 0.002), and BMI (β = 0.279, p = 0.005), but not pain intensity, cognition, or QoL. SAL remained a significant predictor of systolic blood pressure after adjustment for physical health and QoL parameters (β = 0.191, p = 0.044). The association between SAL and social QoL became significant after adjustment for physical health and other QoL domains (β = - 0.210, p = 0.032) and demographic variables (β = - 0.233, p = 0.046). CONCLUSION Welders had significantly higher SAL, musculoskeletal symptoms, blood pressure, and lower QoL than non-welders. SAL was associated with adverse physical health parameters and social-related QoL, not cognition. We recommend routine aluminium bioavailability and physical health checks among welders.
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Affiliation(s)
- Ogochukwu Kelechi Onyeso
- Department of Medical Rehabilitation, Faculty of Health Sciences and Technology, College of Medicine, University of Nigeria, Nsukka, Enugu State, Nigeria.
- Faculty of Health Sciences, University of Lethbridge, Lethbridge, AB, Canada.
| | - Arinze Kingsley Ugwu
- Department of Medical Rehabilitation, Faculty of Health Sciences and Technology, College of Medicine, University of Nigeria, Nsukka, Enugu State, Nigeria
| | | | - Suha Damag
- Faculty of Health Sciences, University of Lethbridge, Lethbridge, AB, Canada
| | - Kelechi Mirabel Onyeso
- Department of Estate Management, Faculty of Environmental Sciences, University of Nigeria, Nsukka, Enugu, Nigeria
| | - James Okechukwu Abugu
- Department of Marketing, Faculty of Business Administration, University of Nigeria, Nsukka, Enugu, Nigeria
| | - Okwukweka Emmanuela Aruma
- Department of Applied Biology and Biotechnology, Faculty of Applied Natural Sciences, Enugu State University of Science and Technology, Enugu, Nigeria
| | - Adesola Christiana Odole
- Department of Physiotherapy, Faculty of Clinical Sciences, College of Medicine, University of Ibadan, Ibadan, Oyo State, Nigeria
| | | | - Charles Ikechukwu Ezema
- Department of Medical Rehabilitation, Faculty of Health Sciences and Technology, College of Medicine, University of Nigeria, Nsukka, Enugu State, Nigeria
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Peng F, Yu L, Zhang C, Liu Q, Yan K, Zhang K, Zheng Y, Liu W, Li Y, Fan J, Ding C. Analysis of serum metabolome of laborers exposure to welding fume. Int Arch Occup Environ Health 2023; 96:1029-1037. [PMID: 37243737 DOI: 10.1007/s00420-023-01987-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 05/18/2023] [Indexed: 05/29/2023]
Abstract
OBJECTIVE Welding fume exposure is inevitable of welding workers and poses a severe hazard to their health since welding is a necessary industrial process. Thus, preclinical diagnostic symptoms of worker exposure are of great importance. The aim of this study was to screen serum differential metabolites of welding fume exposure based on UPLC-QTOF-MS/MS. METHODS In 2019, 49 participants were recruited at a machinery manufacturing factory. The non-target metabolomics technique was used to clarify serum metabolic signatures in people exposed to welding fume. Differential metabolites were screened by OPLS-DA analysis and Student's t-test. The receiver operating characteristic curve evaluated the discriminatory power of differential metabolites. And the correlations between differential metabolites and metal concentrations in urine and whole blood were analyzed utilizing Pearson correlation analysis. RESULTS Thirty metabolites were increased significantly, and 5 metabolites were decreased. The differential metabolites are mainly enriched in the metabolism of arachidonic acid, glycero phospholipid, linoleic acid, and thiamine. These results observed that lysophosphatidylcholine (20:1/0:0) and phosphatidylglycerol(PGF1α/16:0) had a tremendous anticipating power with relatively increased AUC values (AUC > 0.9), and they also presented a significant correlation of Mo concentrations in whole blood and Cu concentrations in urine, respectively. CONCLUSION The serum metabolism was changed significantly after exposure to welding fume. Lysophosphatidylcholine (20:1/0:0) and phosphatidylglycerol (PGF1α/16:0) may be a potential biological mediator and biomarker for laborers exposure to welding fume.
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Affiliation(s)
- Fangda Peng
- National Center for Occupational Safety and Health, NHC, Beijing, 102308, China
- NHC Key Laboratory for Engineering Control of Dust Hazard, Beijing, 102308, China
| | - Lijia Yu
- National Center for Occupational Safety and Health, NHC, Beijing, 102308, China
- NHC Key Laboratory for Engineering Control of Dust Hazard, Beijing, 102308, China
| | - Chunmin Zhang
- National Center for Occupational Safety and Health, NHC, Beijing, 102308, China
- NHC Key Laboratory for Engineering Control of Dust Hazard, Beijing, 102308, China
| | - Qicai Liu
- National Center for Occupational Safety and Health, NHC, Beijing, 102308, China
- NHC Key Laboratory for Engineering Control of Dust Hazard, Beijing, 102308, China
| | - Kai Yan
- National Center for Occupational Safety and Health, NHC, Beijing, 102308, China
- NHC Key Laboratory for Engineering Control of Dust Hazard, Beijing, 102308, China
| | - Kangfu Zhang
- National Center for Occupational Safety and Health, NHC, Beijing, 102308, China
- NHC Key Laboratory for Engineering Control of Dust Hazard, Beijing, 102308, China
| | - Yuqiao Zheng
- National Center for Occupational Safety and Health, NHC, Beijing, 102308, China
- NHC Key Laboratory for Engineering Control of Dust Hazard, Beijing, 102308, China
| | - Wubin Liu
- National Center for Occupational Safety and Health, NHC, Beijing, 102308, China
- NHC Key Laboratory for Engineering Control of Dust Hazard, Beijing, 102308, China
| | - Yan Li
- National Center for Occupational Safety and Health, NHC, Beijing, 102308, China
- NHC Key Laboratory for Engineering Control of Dust Hazard, Beijing, 102308, China
| | - Jingguang Fan
- National Center for Occupational Safety and Health, NHC, Beijing, 102308, China.
- NHC Key Laboratory for Engineering Control of Dust Hazard, Beijing, 102308, China.
| | - Chunguang Ding
- National Center for Occupational Safety and Health, NHC, Beijing, 102308, China.
- NHC Key Laboratory for Engineering Control of Dust Hazard, Beijing, 102308, China.
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Tsuji M, Koriyama C, Ishihara Y, Isse T, Ishizuka T, Hasegawa W, Goto M, Tanaka R, Kakiuchi N, Hori H, Yatera K, Kunugita N, Yamamoto M, Sakuragi T, Yasumura Y, Kono M, Kuwamura M, Kitagawa K, Ueno S. Associations between welding fume exposure and neurological function in Japanese male welders and non-welders. J Occup Health 2023; 65:e12393. [PMID: 36823734 PMCID: PMC9950351 DOI: 10.1002/1348-9585.12393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 01/31/2023] [Accepted: 02/06/2023] [Indexed: 02/25/2023] Open
Abstract
OBJECTIVES There are some studies reporting the association between (manganese [Mn]) exposure to welding fume and neurological dysfunction. This study examined the relationship between Mn exposure and neurological behavior in Japanese male welders and non-welders using biological samples, which to date has not been assessed in Japan. METHODS A total of 94 male welders and 95 male non-welders who worked in the same factories were recruited. The blood and urine samples were obtained from all the participants to measure Mn exposure levels. Neurological function tests were also conducted with all participants. The sampling of the breathing air zone using a personal sampler was measured for welders only. RESULTS The odds ratios (ORs) for the Working Memory Index (WMI) scores were significantly higher among all participants in the low blood Mn concentration group than those in the high blood Mn concentration group (OR, 2.77; 95% confidence interval [CI], 1.24, 6.19; P = .013). The association of WMI scores and blood Mn levels in welders had the highest OR (OR, 3.73; 95% CI, 1.04, 13.38; P = .043). Although not statistically significant, a mild relationship between WMI scores and blood Mn levels was observed in non-welders (OR, 2.09; 95% CI, 0.63, 6.94; P = .227). CONCLUSIONS The results revealed a significant positive relationship between blood Mn and neurological dysfunction in welders. Furthermore, non-welders at the same factories may be secondarily exposed to welding fumes. Further research is needed to clarify this possibility.
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Affiliation(s)
- Mayumi Tsuji
- Department of Environmental Health, School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Chihaya Koriyama
- Department of Epidemiology and Preventive MedicineKagoshima University Graduate School of Medical and Dental SciencesKagoshimaJapan
| | - Yasuhiro Ishihara
- Program of Biomedical Science, Graduate School of Integrated Sciences for LifeHiroshima UniversityHiroshimaJapan
| | - Toyohi Isse
- Section of Postgraduate Guidance School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Tsunetoshi Ishizuka
- Department of Occupational Toxicology, Institute of Industrial Ecological SciencesUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Wataru Hasegawa
- Department of Occupational Toxicology, Institute of Industrial Ecological SciencesUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Motohide Goto
- Department of Occupational Toxicology, Institute of Industrial Ecological SciencesUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Rie Tanaka
- Department of Environmental Health, School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Noriaki Kakiuchi
- Institute of Industrial Ecological SciencesUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Hajime Hori
- Department of Occupational Hygiene, School of Health SciencesUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Kazuhiro Yatera
- Department of Respiratory Medicine, School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Naoki Kunugita
- Department of Occupational and Community Health Nursing, School of Health SciencesUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Megumi Yamamoto
- Department of Environment and Public HealthNational Institute for Minamata DiseaseKumamotoJapan
| | - Toshihide Sakuragi
- Department of Environmental Health, School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Yoshiko Yasumura
- Department of Environmental Health, School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Maori Kono
- Laboratory of Advanced Cosmetic Science, Graduate School of Pharmaceutical SciencesOsaka UniversityOsakaJapan
| | - Mami Kuwamura
- Department of Environmental Health, School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Kyoko Kitagawa
- Department of Environmental Health, School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Susumu Ueno
- Department of Occupational Toxicology, Institute of Industrial Ecological SciencesUniversity of Occupational and Environmental HealthFukuokaJapan
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