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Chen Z, Zhang H, Huang X, Tao Y, Chen Z, Sun X, Zhang M, Tse LA, Weng S, Chen W, Li W, Wang D. Association of noise exposure with lipid metabolism among Chinese adults: mediation role of obesity indices. J Endocrinol Invest 2025; 48:245-255. [PMID: 38909326 DOI: 10.1007/s40618-024-02420-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 06/19/2024] [Indexed: 06/24/2024]
Abstract
PURPOSE Noise exposure in the workplace has been linked to a number of health consequences. Our objectives were to explore the relationship between occupational noise and lipid metabolism and evaluate the possible mediating effect of obesity indices in those relationships with a cross-sectional study design. METHODS Cumulative noise exposure (CNE) was used to measure the level of noise exposure. Logistic regression models or generalized linear models were employed to evaluate the association of occupational noise and obesity with lipid metabolism markers. Cross-lagged analysis was conducted to explore temporal associations of obesity with lipid metabolism. RESULTS A total of 854 participants were included, with each one-unit increase in CNE, the values of total cholesterol/high-density lipoprotein cholesterol and low-density lipoprotein cholesterol/high-density lipoprotein cholesterol increased by 0.013 (95% confidence interval: 0.006, 0.020) and 0.009 (0.004, 0.014), as well as the prevalence of dyslipidemia increased by 1.030 (1.013, 1.048). Occupational noise and lipid metabolism markers were all positively associated with body mass index (BMI), waist circumference (WC), a Body Shape Index (ABSI) and a Body Shape Index and Body Roundness Index (BRI) (all P < 0.05). Moreover, BMI, WC, ABSI and BRI could mediate the associations of occupational noise with lipid metabolism; the proportions ranged from 21.51 to 24.45%, 23.84 to 30.14%, 4.86 to 5.94% and 25.59 to 28.23%, respectively (all P < 0.05). CONCLUSIONS Our study demonstrates a positive association between occupational noise and abnormal lipid metabolism, and obesity may partly mediate the association. Our findings reinforce the need to take practical steps to reduce or even eliminate the health risks associated with occupational noise.
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Affiliation(s)
- Z Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - H Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - X Huang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Y Tao
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Z Chen
- Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan, 430015, Hubei, China
| | - X Sun
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - M Zhang
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - L A Tse
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute of the Chinese University of Hong Kong, Shenzhen, China
| | - S Weng
- Shenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen, 518020, Guangdong, China
| | - W Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - W Li
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute of the Chinese University of Hong Kong, Shenzhen, China
| | - D Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
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Chen Z, Li W, Zhang H, Huang X, Tao Y, Lang K, Zhang M, Chen W, Wang D. Association of noise exposure, plasma microRNAs with metabolic syndrome and its components among Chinese adults. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 921:171123. [PMID: 38387587 DOI: 10.1016/j.scitotenv.2024.171123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 02/05/2024] [Accepted: 02/18/2024] [Indexed: 02/24/2024]
Abstract
AIMS We aimed to evaluate the association of occupational noise with metabolic syndrome (MetS) and its components, and to assess the potential role of miRNAs in occupational noise-associated MetS. METHODS A total of 854 participants were enrolled in our study. Cumulative noise exposure (CNE) was estimated in conjunction with workplace noise test records and research participants' employment histories. Logistic regression models adjusted for potential confounders were used to assess the association of CNE and miRNAs with MetS and its components. RESULTS We observed linear positive dose-response associations between occupational noise exposure and the prevalence of MetS (OR: 1.031; 95 % CI: 1.008, 1.055). And linear and nonlinear relationship were also found for the association of occupational noise exposure with high blood pressure (OR: 1.024; 95 % CI: 1.007, 1.041) and reduced high-density lipoprotein (OR: 1.051; 95 % CI: 1.031, 1.072), respectively. MiR-200a-3p, miR-92a-3p and miR-21-5p were inversely associated with CNE, or the prevalence of MetS and its components (all P < 0.05). However, we did not find any statistically significant mediation effect of miRNAs in the associations of CNE with MetS. Furthermore, the prevalence of bilateral hearing loss in high-frequency increased (OR: 1.036; 95 % CI: 1.008, 1.067) with CNE level rising, and participants with bilateral hearing loss in high-frequency had a significantly higher risk of MetS (OR: 1.727; 95 % CI: 1.048, 2.819). CONCLUSION Our study suggests that occupational noise exposure is associated with MetS and its components, and the role of miRNAs in noise-induced increasing MetS risk needs to be confirmed in future studies.
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Affiliation(s)
- Zhaomin Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education, Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Wenzhen Li
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong 999077, Hong Kong, China; Shenzhen Research Institute of the Chinese University of Hong Kong, Shenzhen 518000, China
| | - Haozhe Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education, Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Xuezan Huang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education, Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Yueqing Tao
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Kaiji Lang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education, Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Meibian Zhang
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Weihong Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education, Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Dongming Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education, Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
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Zhou S, Hu S, Ding K, Wen X, Li X, Huang Y, Chen J, Chen D. Occupational noise and hypertension in Southern Chinese workers: a large occupational population-based study. BMC Public Health 2024; 24:541. [PMID: 38383328 PMCID: PMC10882732 DOI: 10.1186/s12889-024-18040-9] [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: 09/07/2023] [Accepted: 02/07/2024] [Indexed: 02/23/2024] Open
Abstract
INTRODUCTION An increasing number of original studies suggested that occupational noise exposure might be associated with the risk of hypertension, but the results remain inconsistent and inconclusive. In addition, the attributable fraction (AF) of occupational noise exposure has not been well quantified. We aimed to conduct a large-scale occupational population-based study to comprehensively investigate the relationship between occupational noise exposure and blood pressure and different hypertension subtypes and to estimate the AF for hypertension burden attributable to occupational noise exposure. METHODS A total of 715,135 workers aged 18-60 years were included in this study based on the Key Occupational Diseases Surveillance Project of Guangdong in 2020. Multiple linear regression was performed to explore the relationships of occupational noise exposure status, the combination of occupational noise exposure and binaural high frequency threshold on average (BHFTA) with systolic and diastolic blood pressure (SBP, DBP). Multivariable logistic regression was used to examine the relationshipassociation between occupational noise exposure status, occupational noise exposure combined with BHFTA and hypertension. Furthermore, the attributable risk (AR) was calculated to estimate the hypertension burden attributed to occupational exposure to noise. RESULTS The prevalence of hypertension among occupational noise-exposed participants was 13·7%. SBP and DBP were both significantly associated with the occupational noise exposure status and classification of occupational noise exposure combined with BHFTA in the crude and adjusted models (all P < 0·0001). Compared with workers without occupational noise exposure, the risk of hypertension was 50% greater among those exposed to occupational noise in the adjusted model (95% CI 1·42-1·58). For participants of occupational noise exposed with BHFTA normal, and occupational noise exposed with BHFTA elevated, the corresponding risks of hypertension were 48% (1·41-1·56) and 56% (1·46-1·63) greater than those of occupational noise non-exposed with BHFTA normal, respectively. A similar association was found in isolated systolic hypertension (ISH) and prehypertension. Subgroup analysis by sex and age showed that the positive associations between occupational noise exposure and hypertension remained statistically significant across all subgroups (all P < 0.001). Significant interactions between occupational noise status, classification of occupational noise exposure combined with BHFTA, and age in relation to hypertension risk were identified (all P for interaction < 0.001). The associations of occupational noise status, classification of occupational noise exposure combined with BHFTA and hypertension were most pronounced in the 18-29 age groups. The AR% of occupational noise exposure for hypertension was 28·05% in the final adjusted model. CONCLUSIONS Occupational noise exposure was positively associated with blood pressure levels and the prevalence of hypertension, ISH, and prehypertension in a large occupational population-based study. A significantly increased risk of hypertension was found even in individuals with normal BHFTA exposed to occupational noise, with a further elevated risk observed in those with elevated BHFTA. Our findings provide epidemiological evidence for key groups associated with occupational noise exposure and hypertension, and more than one-fourth of hypertension cases would have been prevented by avoiding occupational noise exposure.
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Affiliation(s)
- Shanyu Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 100191, Beijing, China
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, 510300, Guangzhou, Guangdong, China
| | - Shijie Hu
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, 510300, Guangzhou, Guangdong, China
| | - Kexin Ding
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 100191, Beijing, China
| | - Xianzhong Wen
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, 510300, Guangzhou, Guangdong, China
| | - Xudong Li
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, 510300, Guangzhou, Guangdong, China
| | - Yongshun Huang
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, 510300, Guangzhou, Guangdong, China
| | - Jiabin Chen
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, 510300, Guangzhou, Guangdong, China.
| | - Dafang Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 100191, Beijing, China.
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Li W, Zhang H, Chen Z, Tao Y, Huang X, Chen W, Wang D. MiRNA-92a-3p mediated the association between occupational noise exposure and blood pressure among Chinese adults. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 907:168148. [PMID: 37898218 DOI: 10.1016/j.scitotenv.2023.168148] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 10/11/2023] [Accepted: 10/24/2023] [Indexed: 10/30/2023]
Abstract
Evidence on the association between occupational noise exposure and blood pressure is inconsistent, and the underlying mechanism remains unknown. This study aimed to evaluate the association between occupational noise exposure and blood pressure, and explore the potential role of miRNAs in the association. A total of 894 subjects from two companies in Wuhan, China were included. Occupational noise exposure was assessed using cumulative noise exposure (CNE), and six candidate plasma miRNAs (miR-92a-3p, miR-21-5p, miR-200a-3p, miR-200b-3p, miR-200c-3p, and miR-1-3p) which were not only associated with blood pressure/hypertension but also related to oxidative stress were selected according to previous studies and tested. A linear dose-response relationship was found between occupational noise exposure and blood pressure, including systolic blood pressure (SBP) and diastolic blood pressure (DBP). Each 1-unit increase in CNE levels was significantly associated with a 0.130 (95 % confidence interval [CI] = 0.026, 0.234) unit increase in SBP and a 0.141 (95 % CI = 0.063, 0.219) unit increase in DBP. However, the association between occupational noise and hypertension is not statistically significant (P > 0.05). In the meanwhile, occupational noise exposure was negatively associated with miRNA-92a-3p (β = -0.019, 95 % CI = -0.032, -0.006) and miRNA-21-5p (β = -0.031, 95 % CI = -0.052, -0.010), and miRNA-92a-3p mediated 24.66 % of the association between occupational noise exposure and DBP. In addition, bilateral high-frequency hearing loss was not only positively associated with occupational noise exposure (OR = 1.974, 95 % CI = 1.084, 3.702) but also DBP (β = 2.546, 95 % CI = 0.160, 4.932). Our study suggests that occupational noise exposure is positively associated with SBP and DBP, and miRNA-92a-3p partially mediate the association between occupational noise exposure and DBP.
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Affiliation(s)
- Wenzhen Li
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China; Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Haozhe Zhang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Zhaomin Chen
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Yueqing Tao
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Xuezan Huang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Weihong Chen
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Dongming Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
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Asghari M, Gorji R, Moradzadeh R, Kohansal B, Abbasinia M, Goudarzi F. A risk model for occupational noise-induced hearing loss in workers. Work 2024; 77:1017-1022. [PMID: 37781851 DOI: 10.3233/wor-230181] [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] [Indexed: 10/03/2023] Open
Abstract
BACKGROUND Occupational hearing loss is one of the most common work-related diseases with various risk factors and considerable negative impacts on both physical and mental well-being of affected workers. Occupational noise-induced hearing loss (ONIHL) has a complex interaction with personal, environmental and occupational factors. OBJECTIVE This study aimed to develop a risk model for ONIHL in workers by identifying risk factors and their interactions. METHODS The subjects were 605 males in an industrial factory in Arak, Iran. The study took place between 2022 and 2023. The sociodemographic and occupational characteristics were collected by a health technician using questionnaires and medical records. Hearing status was assessed using audiometry by a qualified audiologist. Hearing loss was analyzed by univariate logistic analysis including age, smoking, medical history, type of occupation, and some workplace hazards. The risk model was generated by logistic regression. RESULTS Hearing loss in the participants was 44.13% (n = 267). In univariate logistic analysis, age (OR: 2.93,95% CI: 1.848-4.656), smoking (OR: 1.80, 95% CI: 1.224-2.655), work experience (OR: 1.06, 95% CI: 1.016-1.107), previous exposure to noise (OR: 1.60, 95% CI: 1.112-2.312) or vibration (OR: 1.68, 95% CI: 1.150-2.475) and type of occupation (OR: 2.126, 95% CI: 1.055-4.285) were associated with an increased risk of ONIHL (P < 0.05). CONCLUSION It was found that vibration exposure, work experience, previous noise exposure, type of occupation as well as age and smoking significantly affected the likelihood of developing ONIHL. This risk model could help management to prevent ONIHL and enhance application-oriented research on the condition.
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Affiliation(s)
- Mehdi Asghari
- Department of Occupational Health and Safety Engineering, School of Public Health, Arak University of Medical Sciences, Arak, Iran
| | | | - Rahmatollah Moradzadeh
- Department of Epidemiology, School of Health, Arak University of Medical Sciences, Arak, Iran
| | - Behieh Kohansal
- Department of Audiology, School of Rehabilitation, Arak University of Medical Sciences, Arak, Iran
| | - Marzieh Abbasinia
- Department of Occupational Health and Safety Engineering, School of Public health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Forough Goudarzi
- Department of Biodiversity and Ecosystem Management, Environmental Science Research Institute, Shahid Beheshti University, Tehran, Iran
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Ben Attia T, Ben Ali R, Nahdi A, Galai S, Ghali R, Rammeh S, Véronique El may M, Mhamdi A. Olea europaea L. leaf extract mitigates oxidative and histological damage in rat heart tissue exposed to combined noise and toluene: An experimental study. Saudi Pharm J 2023; 31:101683. [PMID: 37576861 PMCID: PMC10415226 DOI: 10.1016/j.jsps.2023.06.016] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 06/15/2023] [Indexed: 08/15/2023] Open
Abstract
In many occupational settings, workers are frequently exposed to toluene and noise. However, the individual and combined effects of these exposures on the cardiovascular system have not been fully elucidated. Therefore, this study aimed to investigate the impact of simultaneous exposure to toluene and noise on the rat heart, while also evaluating the potential preventive effect of olive leaf extract (OLE). Forty-eight male Wistar rats were randomly assigned to eight groups (n = 6/group): control group (C), control group that received OLE (C + OLE), group exposed to noise (N), group exposed to noise and receiving OLE (N + OLE), group exposed to toluene (T), group exposed to toluene and receiving OLE (T + OLE), group co-exposed to noise and toluene (NT), and group co-exposed to noise and toluene and receiving OLE (NT + OLE). The rats in this study were subjected to simultaneous exposure to toluene and noise for a duration of six weeks, within a custom-built plexiglass chamber. Toluene was administered at a concentration of 300 ppm, while the noise level was set to 85 dB(A). The exposure chamber was equipped with a generation system, an exposure system, and a monitoring system, ensuring precise and accurate exposure conditions. After the six-week period, heart and blood samples were collected from the rats for subsequent analysis. Plasma levels of cholesterol (CHOL), triglycerides (TG), lactate dehydrogenase (LDH), and creatine kinase (CK) were measured, and histopathological investigation was conducted using HE staining. Additionally, superoxide dismutase (SOD) and catalase (CAT) activities, as well as malondialdehyde (MDA) levels in heart tissue were measured. Our results showed that simultaneous exposure to noise and toluene altered CHOL, TG, LDH, and CK levels, and also caused an increase in lipid peroxidation levels and superoxide dismutase activity, along with a decrease in catalase activity in the heart. A significant alteration in the myocardium was also observed. However, treatment with OLE was found to modulate these oxidative and histological changes, ultimately correcting the deleterious effects induced by the combined exposure to noise and toluene. Therefore, our study suggests that OLE could be a potential preventive measure for individuals exposed to toluene and noise in industrial settings.
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Affiliation(s)
- Takoua Ben Attia
- University of Tunis El Manar, Research Unit n° 17/ES/13, Inflammation, Cell Proliferation and Cell Death, Faculty of Medicine of Tunis, Tunis, Tunisia
| | - Ridha Ben Ali
- University of Tunis El Manar, Research Unit n° 17/ES/13, Inflammation, Cell Proliferation and Cell Death, Faculty of Medicine of Tunis, Tunis, Tunisia
- University of Tunis El Manar, Tunis, Unit of Experimental Medicine, Faculty of Medicine of Tunis, Tunisia
| | - Afef Nahdi
- University of Tunis El Manar, Research Unit n° 17/ES/13, Inflammation, Cell Proliferation and Cell Death, Faculty of Medicine of Tunis, Tunis, Tunisia
| | - Said Galai
- Research Laboratory of Neurological Diseases of the Child (LR18SP04)-Department of Clinical Biology -National Institute Mongi Ben Hmida of Neurology at Tunis, Tunisia
| | - Ridha Ghali
- Laboratory of Environmental Toxicology Research, Faculty of Pharmaceutical Sciences, University of Monastir, Monastir, Tunisia
| | - Soumeya Rammeh
- University of Tunis El Manar, Tunis, Research Unit n° 17ES15- Department of Pathology, Charles Nicolle Hospital, Tunis, Tunisia
| | - Michèle Véronique El may
- University of Tunis El Manar, Research Unit n° 17/ES/13, Inflammation, Cell Proliferation and Cell Death, Faculty of Medicine of Tunis, Tunis, Tunisia
- University of Tunis El Manar, Tunis, Unit of Experimental Medicine, Faculty of Medicine of Tunis, Tunisia
| | - Abada Mhamdi
- University of Tunis El Manar, Research Unit n° 17/ES/13, Inflammation, Cell Proliferation and Cell Death, Faculty of Medicine of Tunis, Tunis, Tunisia
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Zhang H, Fang Q, Li M, Yang L, Lai X, Wang H, He M, Wang Z, Kong W, Zhang X. Hearing loss increases all-cause and cardiovascular mortality in middle-aged and older Chinese adults: the Dongfeng-Tongji Cohort Study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-27878-2. [PMID: 37268810 DOI: 10.1007/s11356-023-27878-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 05/19/2023] [Indexed: 06/04/2023]
Abstract
We aimed to investigate the association between hearing loss and all-cause and cardiovascular disease (CVD) mortality, and whether the relationship could be modified by chronic conditions in middle-aged and older Chinese adults. We selected 18,625 participants who underwent audiometry in 2013 from the Dongfeng-Tongji Cohort conducted in China, and followed them until December 2018. Hearing loss was grouped as normal, mild, and moderate or severe by pure-tone hearing threshold at speech (0.5, 1, and 2 kHz) and high frequency (4 and 8 kHz). We applied Cox regression models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause and CVD mortality. Among the 18,625 participants, the mean age was 64.6 (range: 36.7-93.0) years, and 56.2% were women. A total of 1185 died, with 420 CVD deaths during a mean follow-up period of 5.5 years. The adjusted HR for all-cause and CVD mortality increased gradually with the increasing hearing threshold (All p for trend < 0.05). Compared to participants with normal hearing at speech frequency, the adjusted HRs (95% CIs) of moderate or severe hearing loss were 1.42 (1.21-1.67), 1.44 (1.10-1.89), and 1.92 (1.21-3.04) for all-cause, CVD, and stroke mortality, respectively. While moderate or severe hearing loss at high frequency was only related to an increased risk of all-cause mortality (HR, 1.60; 95% CI, 1.18-2.17). The associations were generally consistent across subgroups (All p for interaction > 0.05). Additionally, individuals with a combination of moderate or severe hearing loss and occupational noise exposure, diabetes, or hypertension had higher risk of all-cause or CVD mortality, ranging from 1.45 to 2.78. In conclusion, hearing loss was independently associated with an increased risk of all-cause and CVD mortality, in a dose-response manner. Meanwhile, hearing loss and diabetes or hypertension could jointly increase the risk of all-cause and CVD mortality.
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Affiliation(s)
- Haiqing Zhang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, School of Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd., Wuhan, 430030, Hubei, China
| | - Qin Fang
- Department of Medical Affairs, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, Guangdong, China
| | - Meng Li
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, School of Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd., Wuhan, 430030, Hubei, China
| | - Liangle Yang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, School of Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd., Wuhan, 430030, Hubei, China
| | - Xuefeng Lai
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, School of Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd., Wuhan, 430030, Hubei, China
| | - Hao Wang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, School of Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd., Wuhan, 430030, Hubei, China
| | - Meian He
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, School of Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd., Wuhan, 430030, Hubei, China
| | - Zhichao Wang
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weijia Kong
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, School of Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd., Wuhan, 430030, Hubei, China.
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8
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Ye X, He P. Economic Burden of Hearing Loss inMiddle-Aged and Older Adults in China. J Appl Gerontol 2023; 42:76-88. [PMID: 36053131 DOI: 10.1177/07334648221124118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Our study aimed to estimate the economic burden of hearing loss. Using data from the China Health and Retirement Longitudinal Study (CHARLS), hearing loss attributed fraction based on the rate of hearing loss was derived. Then, we calculated the direct and indirect economic burden of hearing loss. The base year for the monetary amounts shown was 2015. For middle-aged and older people aged 45+ in China, the economic burden of hearing loss in 2011, 2013, and 2015 was US$6.13 billion, US$7.39 billion, and US$8.50 billion, respectively. The direct economic burden of hearing loss accounted for 46.99%-50.24%, the indirect economic burden of premature death accounted for 49.41%-52.70%, and the indirect economic burden of productivity loss accounted for the least proportion of 0.31%-0.35%. Immediate measures such as hearing loss prevention, hearing screening, and hearing aid wearing should be taken, so as to reduce the economic burden of hearing loss.
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Affiliation(s)
- Xin Ye
- Institute for Global Public Policy, 12478Fudan University, Shanghai, China.,China Center for Health Development Studies, 12465Peking University, Beijing, China
| | - Ping He
- China Center for Health Development Studies, 12465Peking University, Beijing, China
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9
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Oh HY, Yoo JE. The Association between Duration of Noise Exposure in the Workplace and Glucose Metabolism Status: Evidence from the Korea National Health and Nutrition Examination Survey. Korean J Fam Med 2022; 43:396-402. [PMID: 36444125 PMCID: PMC9708854 DOI: 10.4082/kjfm.21.0180] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 09/28/2021] [Accepted: 10/11/2021] [Indexed: 08/22/2023] Open
Abstract
BACKGROUND This study aimed to evaluate the association between the duration of workplace noise exposure and glucose metabolism status in a nationally representative Korean sample. METHODS This cross-sectional study included 3,534 participants aged ≥40 years without tinnitus or hearing loss from the Korea National Health and Nutrition Examination Survey (2018). The primary exposure was noise in the workplace and its duration. We divided the noise exposure group into four groups according to the duration of noise exposure (<3 years, 3-10 years, 10-20 years, and ≥20 years). The primary outcomes were fasting blood sugar (FBS), hemoglobin A1c (HbA1c), and pre-diabetes and diabetes diagnosed using FBS. Logistic and linear regression analyses were used to test the association between noise exposure and glycemic status. RESULTS After adjustment, HbA1c levels were significantly higher in the noise exposure than in the non-noise exposure group. HbA1c levels were significantly higher in those exposed to occupational noise for more than 20 years than in others. In the subgroup analysis among those who had been exposed to noise for >20 years, the non-aerobic physical activity group had significantly higher HbA1c levels than the physical activity group. Furthermore, among those who had been exposed to noise for >20 years, the without hearing protection group had significantly higher HbA1c levels than those using hearing protection. CONCLUSION The association between noise exposure and the prevalence of diabetes is unclear. However, our study clearly suggests that there is a relationship between elevated HbA1c levels and workplace noise exposure and that a long period of workplace noise exposure, no physical activity, and not wearing a hearing protection device could increase the risk of diabetes.
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Affiliation(s)
- Hye Yeong Oh
- Department of Family Medicine, Seoul National University Hospital, Seoul, Korea
| | - Jung Eun Yoo
- Department of Family Medicine, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Korea
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10
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Wang D, Xiao Y, Li W, Feng X, Yi G, Chen Z, Wu J, Chen W. Association of noise exposure, plasma microRNAs with arterial stiffness among Chinese workers. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 311:120002. [PMID: 35995288 DOI: 10.1016/j.envpol.2022.120002] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 08/16/2022] [Accepted: 08/16/2022] [Indexed: 06/15/2023]
Abstract
Long-term noise exposure is reported to damage cardiovascular system, but the relationship between occupational noise exposure and arterial stiffness (AS) and the underlying mechanism is still unclear. We aimed to investigate the association of occupational noise exposure with arterial stiffness (AS), and further explore the mediation roles of microRNAs (miRNAs). A total of 838 workers were recruited from two companies in Wuhan, Hubei, China. Cumulative occupational noise exposure (CNE) was assessed through noise level of job title and work years in occupational noise. The AS for the participants were evaluated using brachial-ankle pulse wave velocity (baPWV) measured by an oscillometric device. Each 1-unit increase in CNE levels was significantly associated with a 0.002 (95% confidence interval (CI) = 0.001-0.003) unit increase in ln-transformed values of baPWV. In the sex-specific analysis, the association was significant in males (β = 0.002, 95%CI = 0.001-0.003). Meanwhile, the risk of bilateral hearing loss at high frequency was significantly higher in the high-exposed group than non-exposed group (OR = 1.895, 95%CI = 1.024-3.508), and participants with bilateral hearing loss at high frequency had a significantly higher level of ln-transformed baPWV (β = 0.032, 95%CI = 0.003-0.061). Occupational noise exposure and AS were both negatively associated with plasma miR-92a-3p and miR-21-5p, and the two miRNAs mediated 15.0% and 16.8% of the association of occupational noise with AS (P < 0.05). Our findings suggest that occupational noise exposure is positively associated with AS, and plasma miR-92a-3p and miR-21-5p may partly mediate such association.
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Affiliation(s)
- Dongming Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
| | - Yang Xiao
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Wenzhen Li
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Xiaobing Feng
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Guilin Yi
- Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan, Hubei 430015, China
| | - Zhenlong Chen
- Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan, Hubei 430015, China
| | - Jie Wu
- Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan, Hubei 430015, China
| | - Weihong Chen
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
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11
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Cui Y, Yan Y. Association of all Cause and Cause-Specific Mortality With Hearing Loss Among US Adults: A Secondary Analysis Study. Int J Public Health 2022; 67:1604785. [PMID: 35655581 PMCID: PMC9151924 DOI: 10.3389/ijph.2022.1604785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 04/26/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives: Previous research revealed the relationship between hearing loss (HL) and all cause mortality. The aim of this study was to determine the association between HL and all causes and cause-specific mortality based on US adults.Methods: Data were obtained by linking National Health Interview Survey (NHIS) (2004–2013) with linkage to a mortality database to 31 December 2015. HL were categorized into four groups: good hearing, a little hearing difficulty, a lot of hearing difficulty, profoundly deaf. The relationship between HL and mortality risk was analyzed using Cox proportional hazards regression model.Results: Compared with the reference group (Good), those who had light or moderate hearing problems were at an increased risk of mortality for all causes (A little trouble—HR: 1.17; 95% confidence interval [CI]: 1.13 to 1.20; A lot of trouble—HR: 1.45; 95% CI: 1.40–1.51); deaf—HR: 1.54; 95% CI: 1.38–1.73) respectively.Conclusion: In addition, those in the deaf category have the highest risk of death from all causes and cause-specific cancer. More older adults are associated with an increased risk of all-cause mortality in American adults.
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12
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Yang L, Fang Q, Zhou L, Wang H, Yang H, He M, Wang Z, Kong W, Zhang X. Hearing loss is associated with increased risk of incident stroke but not coronary heart disease among middle-aged and older Chinese adults: the Dongfeng-Tongji cohort study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:21198-21209. [PMID: 34755295 DOI: 10.1007/s11356-021-17324-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 10/29/2021] [Indexed: 06/13/2023]
Abstract
Hearing loss has been associated with increased risk of cardiovascular disease (CVD) prevalence in cross-sectional studies. However, little is known about the prospective association between hearing loss and CVD incidence. We aimed to examine the associations of hearing loss with risk of incident CVD, coronary heart disease (CHD), and stroke in a Chinese population. We included 13,880 individuals aged 63.3 years from the Dongfeng-Tongji cohort study (2013-2018). Hearing loss was categorized into normal, mild, moderate, severe, or greater by the pure-tone average of thresholds at speech and high frequency in both ears. Cox proportional hazard models and linear regression models were used for multivariate longitudinal analyses. After multivariate adjustments, we observed suggestive dose-response associations of increased high-frequency hearing loss with elevated risk of CVD and stroke incidence. Compared with normal hearing loss at high frequency, those with moderate and severe or greater hearing loss had a 4% (95% CI: 0.92, 1.18) or 13% (95% CI: 0.98, 1.30) higher risk of CVD and 52% (95% CI: 1.06, 2.17) or 51% (95% CI: 1.03, 2.20) higher risk of stroke, while the associations were almost consistent across most subgroups. No significant associations were observed for CHD and high-frequency hearing loss, as well as CVD and speech-frequency hearing loss. In addition, higher high-frequency hearing loss was related to unfavorably altered lipid profiles and fasting glucose. Our data suggested that increased hearing loss might increase the risk of incident CVD and stroke among middle-aged and older Chinese, which was partially explained by altered CVD-related biomarkers.
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Affiliation(s)
- Liangle Yang
- Department of Occupational and Environmental Health, Key Laboratory of Environment & Health, Ministry of Education, and State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qin Fang
- Department of Medical Affairs, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, 519000, Guangdong Province, China
| | - Lue Zhou
- Department of Occupational and Environmental Health, Key Laboratory of Environment & Health, Ministry of Education, and State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hao Wang
- Department of Occupational and Environmental Health, Key Laboratory of Environment & Health, Ministry of Education, and State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Handong Yang
- Dongfeng Central Hospital, Dongfeng Motor Corporation and Hubei University of Medicine, Shiyan, China
| | - Meian He
- Department of Occupational and Environmental Health, Key Laboratory of Environment & Health, Ministry of Education, and State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhichao Wang
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weijia Kong
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, Key Laboratory of Environment & Health, Ministry of Education, and State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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13
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Feng X, Li W, Cheng M, Qiu W, Liang R, Li M, Chen W, Wang D. Association of hearing loss with total and cause-specific mortality in US adults. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:5032-5042. [PMID: 34414544 DOI: 10.1007/s11356-021-16038-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 08/14/2021] [Indexed: 06/13/2023]
Abstract
We expected to explore the associations of hearing loss and hearing thresholds at different frequencies with total and cause-specific mortality. In this study, 11,732 individuals derived from the National Health and Nutrition Examination Survey (NHANES) 1999-2012 were included. Data of death was extracted from the NHANES Public-Use Linked Mortality File through December 31, 2015. Cox proportional hazards models were used to explore the associations between hearing loss, hearing thresholds at different frequencies, and total or cause-specific mortality. A total of 1,253 deaths occurred with a median follow-up of 12.15 years. A significant positive dose-response relationship between hearing loss in speech frequency and total mortality was observed, and the HRs and 95% CIs were 1.16 (0.91, 1.47), 1.54 (1.19, 2.00), and 1.85 (1.36, 2.50), respectively, for mild, moderate, and severe speech-frequency hearing loss (SFHL) with a P trend of 0.0003. In addition, moderate (HR: 1.90, 95% CI: 1.20-3.00) and greater (3.50, 1.38-8.86) SFHL significantly elevated risk of heart disease mortality. Moreover, hearing thresholds of >25 dB at 500, 1000, or 2000 Hz were significantly associated with elevated mortality from all causes (1.40, 1.17-1.68; 1.44, 1.20-1.73; and 1.33, 1.10-1.62, respectively) and heart disease (1.89, 1.08-3.34; 1.95, 1.21-3.16; and 1.89, 1.16-3.09, respectively). Hearing loss is associated with increased risks of total mortality and heart disease mortality, especially for hearing loss at speech frequency. Preventing or inhibiting the pathogenic factors of hearing loss is important for reducing the risk of death.
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Affiliation(s)
- Xiaobing Feng
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Wenzhen Li
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Man Cheng
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Weihong Qiu
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Ruyi Liang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Minjing Li
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Weihong Chen
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
| | - Dongming Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
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14
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Michaud DS, Marro L, McNamee JP. High frequency hearing impairment and cardiovascular disease in Canada: Results from the Canadian Health Measures Survey. THE JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA 2021; 150:1001. [PMID: 34470330 DOI: 10.1121/10.0005589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 06/22/2021] [Indexed: 06/13/2023]
Abstract
Noise-induced stress may precipitate cardiovascular diseases. This research assessed the association between sensorineural bilateral high frequency hearing loss (HFHL), as an indication of excessive noise exposure, and cardiovascular outcomes. Participants (n = 6318, ∼50% male) 20-79 years were recruited through the cross-sectional Canadian Health Measures Survey. Questionnaires included several demographic and health-related variables. Audiometry and blood/urine collection took place in a mobile examination centre. Average thresholds ≥25 dB averaged across 3, 4, and 6 kHz defined HFHL. Logistic or linear regression models explored associations between HFHL and cardiovascular-related risk factors/outcomes. Adjusted models indicated elevated diastolic blood pressure in respondents with normal hearing, X¯ = 72.52 (95% confidence interval: 71.85-73.18) compared to the group with bilateral HFHL, X¯ = 70.28 (95%CI: 69.13-71.43), p < 0.05. Average total cholesterol, high-density lipoprotein, low-density lipoprotein and apolipoprotein A1 were elevated in the normal hearing group (p < 0.05). Insulin, high-sensitivity C-reactive protein, and average resting heart rate were elevated in the group with bilateral HFHL, p < 0.05. A stratified analysis by sex- and age, or history of loud occupational noise exposure, did not change the overall results. Although some findings warrant further exploration, the overall analysis did not provide compelling evidence for an association between HFHL and cardiovascular-related biomarkers, or cardiovascular diseases among Canadians aged 20-79 years.
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Affiliation(s)
- David S Michaud
- Health Canada, Environmental and Radiation Health Sciences Directorate, Consumer and Clinical Radiation Protection Bureau, Ottawa, Ontario, Canada
| | - Leonora Marro
- Health Canada, Population Studies Division, Biostatistics Section, Ottawa, Ontario, Canada
| | - James P McNamee
- Health Canada, Environmental and Radiation Health Sciences Directorate, Consumer and Clinical Radiation Protection Bureau, Ottawa, Ontario, Canada
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15
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Michaud DS, Marro L, McNamee JP. Self-reported occupational noise exposure and cardiovascular disease in Canada: Results from the Canadian Health Measures Survey. THE JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA 2021; 150:990. [PMID: 34470300 DOI: 10.1121/10.0005588] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 04/14/2021] [Indexed: 06/13/2023]
Abstract
Self-reported occupational noise exposure has been associated with impaired hearing, but its relationship with extra-auditory affects remains uncertain. This research assessed the association between self-reported occupational noise exposure and cardiovascular outcomes. Participants (n = 6318, ∼50% male) from the Canadian Health Measures Survey (2012-2015) aged 20-79 years were randomly recruited across Canada. An in-person household interview included basic demographics, perceived stress, diagnosed health conditions, and self-reported exposure to a noisy work environment. Direct physiological assessment in a mobile examination centre permitted the determination of biomarkers/risk factors related to cardiovascular function. Logistic or linear regression models explored the association between self-reported occupational noise exposure and several cardiovascular endpoints after adjusting for confounding variables. After adjustments, there was no evidence for an association between occupational noise and any of the evaluated endpoints, which included but were not limited to blood pressure, heart rate, blood glucose, insulin, lipids, diagnosed hypertension, medication for hypertension, myocardial infarction, stroke, or heart disease. There was no evidence that self-reported occupational noise exposure was associated with evaluated cardiovascular-related biomarkers, or cardiovascular diseases among Canadians aged 20-79 years. This study, and others like it, provides an important contribution to an evidence base that could inform policy related to occupational noise exposure.
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Affiliation(s)
- David S Michaud
- Health Canada, Environmental and Radiation Health Sciences Directorate, Consumer & Clinical Radiation Protection Bureau, Ottawa, Ontario, Canada
| | - Leonora Marro
- Health Canada, Environmental Health Science and Research Bureau, Population Studies Division, Biostatistics Section, Ottawa, Ontario, Canada
| | - James P McNamee
- Health Canada, Environmental and Radiation Health Sciences Directorate, Consumer & Clinical Radiation Protection Bureau, Ottawa, Ontario, Canada
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Made F, Nonterah EA, Tlotleng N, Ntlebi V, Naicker N. Ten-year risk of fatal cardiovascular disease and its association with metabolic risk factors among waste pickers in South Africa. BMC Cardiovasc Disord 2021; 21:336. [PMID: 34246223 PMCID: PMC8272349 DOI: 10.1186/s12872-021-02150-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 07/06/2021] [Indexed: 11/25/2022] Open
Abstract
Background Cardiovascular disease (CVD) is the leading cause of death among non-communicable diseases in South Africa. Several metabolic risk factors contribute to the development of CVD. Informal workers such as waste pickers could be unhealthy lifestyle naive, and most public health research on CVD does not include this understudied population. This study estimated the 10-year risk of fatal CVD and its association with metabolic risk factors in an understudied study population of waste pickers in Johannesburg, South Africa. Methods A cross-sectional survey was conducted among waste pickers in two landfill sites in Johannesburg. We used the Systematic Coronary Risk Evaluation (SCORE) risk charts to estimate the 10-year risk of fatal CVD. We then employed ordinary least squares regression to assess the association between the 10-year risk of fatal CVD with metabolic risk factors. Other variables adjusted in the regression model were HIV status, education, income, injuries from work, clinic visits in the previous 12 months, and alcohol consumption. Results A total of 370 waste pickers were included in this analysis, 265 (73.41%) were males. The mean age of the participants was 34 years. The majority were between the age of 20 and 39 years. More than 55% of the waste pickers did not visit a clinic in the previous 12 months, and 68.57% were smoking. The 10-year survival probability from CVD was more than 99% for both males and females. In the multivariable regression model, elevated blood glucose showed a non-significant increase in the mean percentage of 10-year risk of fatal CVD. Waste pickers who were overweight/obese, and hypertensive had high statistically significant mean percentages of the 10-year risk of fatal CVD compared to those who did not have the metabolic risk factors. Conclusions Prevention of 10-year risk of fatal CVD in this understudied population of waste pickers should target the control of obesity, hypertension, and diabetes. Health awareness and education for waste pickers will be an important step in reducing the burden of these metabolic risk factors. We further recommend that health systems should recognize waste pickers as a high-risk group and consider extensive CVDs surveillance. Supplementary Information The online version contains supplementary material available at 10.1186/s12872-021-02150-y.
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Affiliation(s)
- Felix Made
- Epidemiology and Surveillance Section, National Institute for Occupational Health, National Health Laboratory Service, Johannesburg, 2000, South Africa. .,Faculty of Health Sciences, School of Public Health, University of Witwatersrand, Johannesburg, 2000, South Africa.
| | - Engelbert A Nonterah
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana.,Julius Global Health, Julius Centre for Health Sciences and Primary Care, University Medical Centre, Utrecht University, Utrecht, The Netherlands
| | - Nonhlanhla Tlotleng
- Epidemiology and Surveillance Section, National Institute for Occupational Health, National Health Laboratory Service, Johannesburg, 2000, South Africa
| | - Vusi Ntlebi
- Epidemiology and Surveillance Section, National Institute for Occupational Health, National Health Laboratory Service, Johannesburg, 2000, South Africa
| | - Nisha Naicker
- Epidemiology and Surveillance Section, National Institute for Occupational Health, National Health Laboratory Service, Johannesburg, 2000, South Africa.,Department of Environmental Health, Faculty of Health Sciences, University of Johannesburg, Johannesburg, 2000, South Africa
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Wang D, Xiao Y, Feng X, Wang B, Li W, He M, Zhang X, Yuan J, Yi G, Chen Z, Dai X, Wu J, Chen W. Association of occupational noise exposure, bilateral hearing loss with atherosclerotic cardiovascular disease risk in Chinese adults. Int J Hyg Environ Health 2021; 235:113776. [PMID: 34062450 DOI: 10.1016/j.ijheh.2021.113776] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 05/20/2021] [Accepted: 05/20/2021] [Indexed: 11/18/2022]
Abstract
We aimed to explore the association of occupational noise exposure with atherosclerotic cardiovascular disease (ASCVD) risk in Chinese adults. We included 21,412 participants from the Dongfeng-tongji Cohort Study, occupational noise exposure was evaluated through workplace noise level and/or the job titles, hearing loss was defined as a pure-tone mean of 25 dB or higher at 0.5, 1, 2, and 4 kHz in any ear. Compared with participants without occupational noise exposure, the 10-year ASCVD risk was significantly higher for noise exposure duration ≥20 years (OR = 1.20, 95%CI = 1.05-1.32) after adjusting for potential confounders. In the subgroup analysis, the association was only statistically significant in males (OR = 1.86, 95%CI = 1.12-3.14) and participants aged equal to or over 60 years old (OR = 1.20, 95%CI = 1.05-1.33), but not in females (OR = 1.15, 95%CI = 0.71-1.92) and aged below 60 (OR = 1.51, 95%CI = 0.75-2.85). In the subsample analyses (N = 10,165), bilateral hearing loss was associated with a higher risk of 10-year ASCVD (OR = 1.72, 95%CI = 1.30-2.30), especially for participants who were males (OR = 2.40, 95%CI = 1.61-3.42) and aged equal to or over 60 (OR = 1.85, 95%CI = 1.40-2.44). The present study suggests that occupational noise exposure may be a potential risk factor for ASCVD, especially for males and older participants.
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Affiliation(s)
- Dongming Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Yang Xiao
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Xiaobing Feng
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Bin Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Wenzhen Li
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Meian He
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Xiaomin Zhang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Jing Yuan
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Guilin Yi
- Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan, Hubei, 430015, China
| | - Zhenlong Chen
- Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan, Hubei, 430015, China
| | - Xiayun Dai
- Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan, Hubei, 430015, China
| | - Jie Wu
- Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan, Hubei, 430015, China
| | - Weihong Chen
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
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Sun R, Shang W, Cao Y, Lan Y. A risk model and nomogram for high-frequency hearing loss in noise-exposed workers. BMC Public Health 2021; 21:747. [PMID: 33865357 PMCID: PMC8053268 DOI: 10.1186/s12889-021-10730-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Accepted: 03/23/2021] [Indexed: 11/10/2022] Open
Abstract
Background High-frequency hearing loss is a significant occupational health concern in many countries, and early identification can be effective for preventing hearing loss. The study aims to construct and validate a risk model for HFHL, and develop a nomogram for predicting the individual risk in noise-exposed workers. Methods The current research used archival data from the National Key Occupational Diseases Survey-Sichuan conducted in China from 2014 to 2017. A total of 32,121 noise-exposed workers completed the survey, of whom 80% workers (n = 25,732) comprised the training cohort for risk model development and 20% workers (n = 6389) constituted the validation cohort for model validation. The risk model and nomogram were constructed using binary logistic models. The effectiveness and calibration of the model were evaluated with the receiver operating characteristic curve and calibration plots, respectively. Results A total of 10.06% of noise-exposed workers had HFHL. Age (OR = 1.09, 95% CI: 1.083–1.104), male sex (OR = 3.25, 95% CI: 2.85–3.702), noise exposure duration (NED) (OR = 1.15, 95% CI: 1.093–1.201), and a history of working in manufacturing (OR = 1.50, 95% CI: 1.314–1.713), construction (OR = 2.29, 95% CI: 1.531–3.421), mining (OR = 2.63, 95% CI: 2.238–3.081), or for a private-owned enterprise (POE) (OR = 1.33, 95% CI: 1.202–1.476) were associated with an increased risk of HFHL (P < 0.05). Conclusions The risk model and nomogram for HFHL can be used in application-oriented research on the prevention and management of HFHL in workplaces with high levels of noise exposure. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-021-10730-y.
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Affiliation(s)
- Ruican Sun
- Department of Occupational and Environmental Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Weiwei Shang
- Department of Occupational Health and Radial Control, Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan, China
| | - Yingqiong Cao
- Department of Occupational Disease Prevention and Control, Pidu District Center for Disease Control and Prevention, Chengdu, Sichuan, China
| | - Yajia Lan
- Department of Occupational and Environmental Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
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Li W, Yi G, Chen Z, Wu J, Lu Z, Liang J, Mao G, Yao Y, Wang D. Association of occupational noise exposure, bilateral hearing loss with hypertension among Chinese workers. J Hypertens 2021; 39:643-650. [PMID: 33093308 DOI: 10.1097/hjh.0000000000002696] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To evaluate the relationship of occupational noise, bilateral hearing loss with blood pressure and hypertension among a Chinese population. METHODS We included 15 422 individuals from a cross-sectional survey of the key occupational diseases in 2017 in Wuhan, Hubei Province, China. Occupational noise exposure was evaluated through workplace noise level and/or the job titles. Hearing loss was defined as a pure-tone average of 25 dB or higher at speech frequency (0.5, 1, 2 kHz) or high frequency (3, 4, 6 kHz) in both ears. Hypertension was defined as blood pressure at least 140/90 mmHg or self-reported current use of antihypertensive medication. RESULTS Compared with participants without occupational noise exposure, the prevalence of hypertension was significantly higher for noise exposure duration of 5 to less than 10 years [odds ratio (OR) = 1.13, 95% confidence interval (CI) = 1.04-1.27] and at least 10 years (OR = 1.17, 95% CI = 1.09-1.30). In the sex-specific analysis, the association was significantly pronounced in male (OR = 1.18, 95% CI = 1.06-1.32 for duration of 5 to <10 years; OR = 1.25, 95% CI = 1.12-1.38 for duration ≥10 years), but not in female (OR = 1.01, 95% CI = 0.80-1.11 for duration of 5 to <10 years; OR = 1.06, 95% CI = 0.90-1.20 for duration ≥10 years). In the subsample analyses, bilateral hearing loss was associated with a higher prevalence of hypertension, no matter for speech frequency hearing loss (OR = 1.12, 95% CI = 1.02-1.30 for mild; OR = 1.35, 95% CI = 1.20-1.50 for severe) or for high-frequency hearing loss (OR = 1.24, 95% CI = 1.03-1.50 for mild; OR = 2.40, 95% CI = 1.80-3.17 for severe). The sex-subgroup analysis of hearing loss with hypertension was similar as occupational noise and hypertension. CONCLUSION Our study has suggested occupational noise exposure is a potential risk factor for hypertension.
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Affiliation(s)
- Wenzhen Li
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
| | - Guilin Yi
- Wuhan Prevention and Treatment Center for Occupational Diseases
| | - Zhenlong Chen
- Wuhan Prevention and Treatment Center for Occupational Diseases
| | - Jie Wu
- Wuhan Prevention and Treatment Center for Occupational Diseases
| | - Zuxun Lu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
| | - Jiaojun Liang
- Wuhan Prevention and Treatment Center for Occupational Diseases
| | - Geshi Mao
- Wuhan Prevention and Treatment Center for Occupational Diseases
| | - Yong Yao
- Wuhan Prevention and Treatment Center for Occupational Diseases
| | - Dongming Wang
- Department of Occupational & Environmental Health
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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20
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Wang X, Orelaja OA, Ibrahim DS, Ogbonna SM. Evaluation of noise risk level and its consequences on technical operators of tobacco processing equipment in a cigarette producing company in Nigeria. SCIENTIFIC AFRICAN 2020. [DOI: 10.1016/j.sciaf.2020.e00344] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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21
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Themann CL, Masterson EA. Occupational noise exposure: A review of its effects, epidemiology, and impact with recommendations for reducing its burden. THE JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA 2019; 146:3879. [PMID: 31795665 DOI: 10.1121/1.5134465] [Citation(s) in RCA: 129] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Exposure to hazardous noise is one of the most common occupational risks, both in the U.S. and worldwide. Repeated overexposure to noise at or above 85 dBA can cause permanent hearing loss, tinnitus, and difficulty understanding speech in noise. It is also associated with cardiovascular disease, depression, balance problems, and lower income. About 22 million U.S. workers are currently exposed to hazardous occupational noise. Approximately 33% of working-age adults with a history of occupational noise exposure have audiometric evidence of noise-induced hearing damage, and 16% of noise-exposed workers have material hearing impairment. While the Mining, Construction, and Manufacturing sectors typically have the highest prevalence of noise exposure and hearing loss, there are noise-exposed workers in every sector and every sector has workers with hearing loss. Noise-induced hearing loss is preventable. Increased understanding of the biological processes underlying noise damage may lead to protective pharmacologic or genetic therapies. For now, an integrated public health approach that (1) emphasizes noise control over reliance on hearing protection, (2) illustrates the full impact of hearing loss on quality of life, and (3) challenges the cultural acceptance of loud noise can substantially reduce the impact of noise on worker health.
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Affiliation(s)
- Christa L Themann
- National Institute for Occupational Safety and Health, 1090 Tusculum Avenue, MS C-27, Cincinnati, Ohio 45226, USA
| | - Elizabeth A Masterson
- National Institute for Occupational Safety and Health, 1090 Tusculum Avenue, MS C-27, Cincinnati, Ohio 45226, USA
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22
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Occupational Noise Exposure, Bilateral High-Frequency Hearing Loss, and Blood Pressure. J Occup Environ Med 2019; 60:462-468. [PMID: 29135833 DOI: 10.1097/jom.0000000000001232] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVE The aim of this study was to investigate the relationships between occupational noise exposure and blood pressure using self-reported occupational exposure and bilateral high-frequency hearing loss. METHODS This study included 4548 participants aged 20 to 69 years from the National Health and Nutrition Examination Survey 1999 to 2004. On the basis of self-reported exposure status, participants were divided into the current, former, or never exposed groups. Bilateral high-frequency hearing loss was defined as the average high-frequency hearing threshold at least 25 dB in both ears. RESULTS The currently exposed participants had slightly increased diastolic blood pressure compared with those never exposed. Among previously exposed participants, those with bilateral high-frequency hearing loss had increased systolic blood pressure, heart rate, and the prevalence of hypertension compared with those with normal high-frequency hearing. CONCLUSION Although there were some significant results, the evidence was not consistent to support the associations between occupational noise exposure and blood pressure.
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23
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The Influence of Occupational Noise Exposure on Cardiovascular and Hearing Conditions among Industrial Workers. Sci Rep 2019; 9:11524. [PMID: 31395914 PMCID: PMC6687890 DOI: 10.1038/s41598-019-47901-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 07/18/2019] [Indexed: 12/21/2022] Open
Abstract
This study was conducted to estimate the current prevalence of hypertension, cardiovascular condition and hearing difficulty of workers exposure to occupational noise, and to analyze any associations between these abnormal signs and occupational noise exposure. The subjects included 5205 noise-exposed workers. Workers with high noise exposure were more likely to have a higher threshold value than low exposure ones (P < 0.05). Subjects in the high exposure group had a significantly higher risk of hypertension and hearing loss than the ones in low exposure group. Between the ages of 30 and 45, high-level occupational noise exposure led to a significantly raising risk of both hypertension (Adjusted OR = 1.59, 95% CI, 1.19-2.11) and hearing loss (Adjusted OR = 1.28, 95% CI, 1.03-1.60) when comparing to low-level noise exposure. In male workers, the prevalence of hearing difficulty in high exposure group was approximately 1.2 times worse than in low group (P = 0.006). In addition, exposure to high noise level demonstrated a significant association with hypertension and hearing loss when the duration time to occupational noise was longer than 10 years. Hypertension and hearing difficulty is more prevalent in the noise-exposed group (higher than 85 dB[A]). Steps to reduce workplace noise levels and to improve workplace-based health are thus urgently needed.
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Hearing loss is associated with increased CHD risk and unfavorable CHD-related biomarkers in the Dongfeng-Tongji cohort. Atherosclerosis 2019; 271:70-76. [PMID: 29477559 DOI: 10.1016/j.atherosclerosis.2018.01.048] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2017] [Revised: 01/29/2018] [Accepted: 01/31/2018] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND AIMS The association between hearing loss and coronary heart disease (CHD) is inconsistent. We aimed to investigate the association of hearing loss with prevalent CHD and CHD-related biomarkers among a middle aged and elderly Chinese population. METHODS We included 14,755 Chinese aged 64.6 years from the Dongfeng-Tongji Cohort in 2013. Hearing loss was classified into normal, mild, moderate or greater levels by the pure tone average (PTA) at low frequency and high frequency, respectively. Logistic regression models were used to estimate the odds ratios (ORs) of CHD risk in relation to hearing loss. Linear regression models were used to evaluate the effect of hearing loss on CHD-related biomarkers. RESULTS The adjusted ORs for prevalent CHD increased gradually with the increasing hearing loss levels. Compared with normal hearing, individuals having mild- and moderate or greater-hearing loss had a higher CHD risk of 19% and 20% at low frequency, and 33% and 41% at high frequency, respectively (all p for trend < 0.05). The associations were more evident among subjects who were females, overweight, exposed to occupational noise and with hyperglycemia, hypertension or dyslipidemia at low frequency, and those with hyperglycemia at high frequency. Meanwhile, moderate or greater hearing loss combined with overweight, hyperglycemia, hypertension or dyslipidemia had joint effects on CHD. In addition, the majority of CHD-related biomarkers worsened with increasing hearing loss levels. CONCLUSIONS There may be a dose-response relationship between hearing loss and CHD prevalence, and the association could partially be explained by intermediate CHD-related biomarkers.
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25
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Fang Q, Lai X, Yang L, Wang Z, Zhan Y, Zhou L, Xiao Y, Wang H, Li D, Zhang K, Zhou T, Yang H, Guo H, He MA, Kong W, Wu T, Zhang X. Hearing loss is associated with increased stroke risk in the Dongfeng-Tongji Cohort. Atherosclerosis 2019; 285:10-16. [PMID: 30959282 DOI: 10.1016/j.atherosclerosis.2019.03.012] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Revised: 02/18/2019] [Accepted: 03/14/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND AIMS The evidence concerning the association between hearing loss and stroke is limited. We aimed to investigate the association of hearing loss with risk of stroke and its subtypes among the middle-aged and older Chinese population. METHODS We included 19,238 participants aged 64.6 years from the Dongfeng-Tongji Cohort in 2013. Hearing loss was classified into normal, mild, moderate, severe or greater levels by the pure tone average at speech frequency and high frequency, respectively. We calculated the odds ratios of hearing loss and stroke by logistic regression models. RESULTS With the increase of hearing loss level, the prevalence risk of stroke has gradually increased. Compared with normal hearing, participants having severe or greater hearing loss had a higher stroke risk of 76% and 39% at speech frequency and at high frequency, respectively. Similarly, individuals with severe or greater hearing loss had an increased risk of ischemic stroke of 69% and 52% at speech frequency and high frequency, respectively; while severe or greater hearing loss was associated with about a 2-fold risk of hemorrhagic stroke than normal hearing only at speech frequency. Stratified analysis suggested that some high cardiovascular risk participants such as male, age ≥65, exposed to occupational noise, smoker and with diabetes, hypertension or hyperlipidemia had higher risk of stroke. Furthermore, severe or greater hearing loss combined with age, diabetes, hypertension and hyperlipidemia had joint effects on stroke. CONCLUSIONS The results have suggested a dose-response relationship between hearing loss and stroke risk in middle-aged and older adults.
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Affiliation(s)
- Qin Fang
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xuefeng Lai
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liangle Yang
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhichao Wang
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China
| | - Yue Zhan
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China
| | - Lue Zhou
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yang Xiao
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hao Wang
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dan Li
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China
| | - Kun Zhang
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China
| | - Tao Zhou
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China
| | - Handong Yang
- Dongfeng Central Hospital, Dongfeng Motor Corporation and Hubei University of Medicine, Shiyan, China
| | - Huan Guo
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mei-An He
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weijia Kong
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, China
| | - Tangchun Wu
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Kerns E, Masterson EA, Themann CL, Calvert GM. Cardiovascular conditions, hearing difficulty, and occupational noise exposure within US industries and occupations. Am J Ind Med 2018. [PMID: 29537072 DOI: 10.1002/ajim.22833] [Citation(s) in RCA: 75] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND The purpose of this study was to estimate the prevalence of occupational noise exposure, hearing difficulty and cardiovascular conditions within US industries and occupations, and to examine any associations of these outcomes with occupational noise exposure. METHODS National Health Interview Survey data from 2014 were examined. Weighted prevalence and adjusted prevalence ratios of self-reported hearing difficulty, hypertension, elevated cholesterol, and coronary heart disease or stroke were estimated by level of occupational noise exposure, industry, and occupation. RESULTS Twenty-five percent of current workers had a history of occupational noise exposure (14% exposed in the last year), 12% had hearing difficulty, 24% had hypertension, 28% had elevated cholesterol; 58%, 14%, and 9% of these cases can be attributed to occupational noise exposure, respectively. CONCLUSIONS Hypertension, elevated cholesterol, and hearing difficulty are more prevalent among noise-exposed workers. Reducing workplace noise levels is critical. Workplace-based health and wellness programs should also be considered.
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Affiliation(s)
- Ellen Kerns
- Association of Schools and Programs in Public Health (ASPPH)
- National Institute for Occupational Safety and Health (NIOSH); Centers for Disease Control and Prevention; Cincinnati Ohio
| | - Elizabeth A. Masterson
- National Institute for Occupational Safety and Health (NIOSH); Centers for Disease Control and Prevention; Cincinnati Ohio
| | - Christa L. Themann
- National Institute for Occupational Safety and Health (NIOSH); Centers for Disease Control and Prevention; Cincinnati Ohio
| | - Geoffrey M. Calvert
- National Institute for Occupational Safety and Health (NIOSH); Centers for Disease Control and Prevention; Cincinnati Ohio
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27
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Occupational noise exposure and hypertension: the Dongfeng-Tongji Cohort Study. ACTA ACUST UNITED AC 2018; 12:71-79.e5. [DOI: 10.1016/j.jash.2017.11.001] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Revised: 10/31/2017] [Accepted: 11/07/2017] [Indexed: 11/24/2022]
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28
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Gan WQ, Sanderson WT, Browning SR, Mannino DM. Different types of housing and respiratory health outcomes. Prev Med Rep 2017; 7:124-129. [PMID: 28660119 PMCID: PMC5479958 DOI: 10.1016/j.pmedr.2017.05.018] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2016] [Revised: 03/22/2017] [Accepted: 05/28/2017] [Indexed: 11/17/2022] Open
Abstract
Evidence has shown that housing conditions may substantially influence the health of residents. Different types of housing have different structures and construction materials, which may affect indoor environment and housing conditions. This study aimed to investigate whether people living in different types of housing have different respiratory health outcomes. The data from the 1999-2006 National Health and Nutrition Examination Survey were used for the analyses. The types of housing included houses, townhouses, apartments, and mobile homes. Respiratory symptoms included wheezing, coughing, sputum, and dyspnea; respiratory diseases included asthma, chronic bronchitis, emphysema, and chronic obstructive pulmonary disease (COPD). Multiple logistic regression was used to calculate odds ratio (OR) and 95% confidence interval (CI) after adjustment for potential confounding factors. A total of 11,785 participants aged 40 years and older were included in the analyses. Compared with those living in single family houses, participants living in mobile homes were more likely to have respiratory conditions, the OR (95% CI) was 1.38 (1.13-1.69) for wheezing, and 1.49 (1.25-1.78) for dyspnea; whereas participants living in apartments were less likely to have respiratory conditions, the OR (95% CI) was 0.58 (0.36-0.91) for chronic bronchitis, and 0.69 (0.49-0.97) for COPD. Compared with living in single family houses, living in mobile home was associated with worse, whereas living in apartments was associated with better, respiratory health outcomes. Further research is needed to better understand the underlying mechanisms and prevent adverse respiratory effects associated with living in mobile homes.
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Affiliation(s)
- Wen Qi Gan
- Department of Preventive Medicine and Environmental Health, University of Kentucky College of Public Health, Lexington, KY, USA
| | - Wayne T. Sanderson
- Department of Epidemiology, University of Kentucky College of Public Health, Lexington, KY, USA
| | - Steven R. Browning
- Department of Epidemiology, University of Kentucky College of Public Health, Lexington, KY, USA
| | - David M. Mannino
- Department of Preventive Medicine and Environmental Health, University of Kentucky College of Public Health, Lexington, KY, USA
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