Wenzhen Li1, Wenyu Ruan2, Guilin Yi3, Zhenlong Chen3, Dongming Wang4. 1. Key Laboratory of Industrial Dust Prevention and Control & Occupational Health and Safety, Ministry of Education, Anhui University of Science and Technology, China; Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China. 2. Shangluo Central Hospital, Shangluo, Shanxi 726000, China. 3. Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan, Hubei 430015, China. 4. Key Laboratory of Industrial Dust Prevention and Control & Occupational Health and Safety, Ministry of Education, Anhui University of Science and Technology, China; 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. Electronic address: wangdm@hust.edu.cn.
Abstract
AIMS: Previous studies have explored the association between noise exposure and risk of metabolic syndrome (MetS); however, the results remain inconclusive. METHODS: PubMed and Web of Science databases were searched through December 2020, multivariate-adjusted relative risks (RRs) were pooled by using random-effects models. Subgroup analysis was also conducted stratifying by gender, study location, study design, source of noise, study quality, adjusting for smoking, drinking, body mass index, physical activity and shift work. RESULTS: Five studies involving 44,698 participants and 5187 MetS cases were included. A summarized adjusted RR for the relationship between noise exposure and risk of MetS was 1.27 (95% CI, 1.02-1.60), and 1.11 (1.02-1.21) for blood pressure and 1.11 (1.06-1.17) for blood glucose. Subgroup analysis revealed that the pooled risk of MetS was statistically significant in all cohort studies (RR = 1.34, 95 %CI, 1.06-1.68), ambient/traffic noise (RR = 1.24, 95 %CI, 1.13-1.35) and occupational noise by removing one low quality study (RR = 2.21, 95 %CI, 1.41-3.44). CONCLUSIONS: Noise exposure is associated with an increased risk of MetS, and occupational noise exposure may result in a greater risk. Additional more prospective large-scale studies conducted in more countries or populations are needed to confirm the results, establish causality and elucidate the underlying mechanisms.
AIMS: Previous studies have explored the association between noise exposure and risk of metabolic syndrome (MetS); however, the results remain inconclusive. METHODS: PubMed and Web of Science databases were searched through December 2020, multivariate-adjusted relative risks (RRs) were pooled by using random-effects models. Subgroup analysis was also conducted stratifying by gender, study location, study design, source of noise, study quality, adjusting for smoking, drinking, body mass index, physical activity and shift work. RESULTS: Five studies involving 44,698 participants and 5187 MetS cases were included. A summarized adjusted RR for the relationship between noise exposure and risk of MetS was 1.27 (95% CI, 1.02-1.60), and 1.11 (1.02-1.21) for blood pressure and 1.11 (1.06-1.17) for blood glucose. Subgroup analysis revealed that the pooled risk of MetS was statistically significant in all cohort studies (RR = 1.34, 95 %CI, 1.06-1.68), ambient/traffic noise (RR = 1.24, 95 %CI, 1.13-1.35) and occupational noise by removing one low quality study (RR = 2.21, 95 %CI, 1.41-3.44). CONCLUSIONS: Noise exposure is associated with an increased risk of MetS, and occupational noise exposure may result in a greater risk. Additional more prospective large-scale studies conducted in more countries or populations are needed to confirm the results, establish causality and elucidate the underlying mechanisms.
Authors: Gwansic Kim; Hanjun Kim; Byungyoon Yun; Juho Sim; Changyoung Kim; Yeonsuh Oh; Jinha Yoon; Jiho Lee Journal: Int J Environ Res Public Health Date: 2022-02-15 Impact factor: 3.390