Correlation between Long-Term Exposure to Traffic Noise and Risk of Type 2 Diabetes Mellitus
Objective: This study aimed to probe the correlation of long-term exposure to traffic noise with the risk of type 2 diabetes mellitus (T2DM). Methods: The data of 480 community residents collected from April 2017 to April 2018 were retrospectively analyzed. Exposure levels for traffic noise were def...
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2024-04-01
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| Series: | Noise and Health |
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| Online Access: | https://journals.lww.com/10.4103/nah.nah_36_23 |
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| author | Zhaopeng Yu Maomin Song |
| author_facet | Zhaopeng Yu Maomin Song |
| author_sort | Zhaopeng Yu |
| collection | DOAJ |
| description | Objective: This study aimed to probe the correlation of long-term exposure to traffic noise with the risk of type 2 diabetes mellitus (T2DM). Methods: The data of 480 community residents collected from April 2017 to April 2018 were retrospectively analyzed. Exposure levels for traffic noise were defined using 24-h mean traffic noise. Logistic regression calculated the association between long-term exposure to traffic noise and the risk of T2DM. Results: Overall, 480 enrolled participants were divided into T2DM (n = 45) and non-T2DM (n = 435) groups. Participants with T2DM were older and more likely to be male, had higher BMI, and were frequent drinkers (P < 0.001). The T2DM group displayed higher exposure to traffic noise than the non-T2DM group (P < 0.001). According to quartiles of traffic noise, all participants were categorized into four groups: Q1 (<51.5 dB), Q2 (51.5–<53.9 dB), Q3 (53.9–<58.0 dB), and Q4 (≥58.0 dB). Prevalence of T2DM was 5.4% in Q1, 7.7% in Q2, 10.3% in Q3, and 14.1% in Q4 groups. Multifactor regression analysis showed that age, BMI, drinking history, and traffic noise exposure are risk factors for T2DM (P < 0.05), whereas sex does not seem to have a significant impact on T2DM (P > 0.05). Conclusion: Long-term exposure to traffic noise may elevate the risk of T2DM. This suggests that long-term exposure to high levels of traffic noise can increase the incidence of diabetes mellitus, which deserves further consideration. |
| format | Article |
| id | doaj-art-785fdc07b95349a5844e4d0cdaceaaf0 |
| institution | DOAJ |
| issn | 1463-1741 |
| language | English |
| publishDate | 2024-04-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Noise and Health |
| spelling | doaj-art-785fdc07b95349a5844e4d0cdaceaaf02025-08-20T02:56:02ZengWolters Kluwer Medknow PublicationsNoise and Health1463-17412024-04-012612115315710.4103/nah.nah_36_23Correlation between Long-Term Exposure to Traffic Noise and Risk of Type 2 Diabetes MellitusZhaopeng YuMaomin SongObjective: This study aimed to probe the correlation of long-term exposure to traffic noise with the risk of type 2 diabetes mellitus (T2DM). Methods: The data of 480 community residents collected from April 2017 to April 2018 were retrospectively analyzed. Exposure levels for traffic noise were defined using 24-h mean traffic noise. Logistic regression calculated the association between long-term exposure to traffic noise and the risk of T2DM. Results: Overall, 480 enrolled participants were divided into T2DM (n = 45) and non-T2DM (n = 435) groups. Participants with T2DM were older and more likely to be male, had higher BMI, and were frequent drinkers (P < 0.001). The T2DM group displayed higher exposure to traffic noise than the non-T2DM group (P < 0.001). According to quartiles of traffic noise, all participants were categorized into four groups: Q1 (<51.5 dB), Q2 (51.5–<53.9 dB), Q3 (53.9–<58.0 dB), and Q4 (≥58.0 dB). Prevalence of T2DM was 5.4% in Q1, 7.7% in Q2, 10.3% in Q3, and 14.1% in Q4 groups. Multifactor regression analysis showed that age, BMI, drinking history, and traffic noise exposure are risk factors for T2DM (P < 0.05), whereas sex does not seem to have a significant impact on T2DM (P > 0.05). Conclusion: Long-term exposure to traffic noise may elevate the risk of T2DM. This suggests that long-term exposure to high levels of traffic noise can increase the incidence of diabetes mellitus, which deserves further consideration.https://journals.lww.com/10.4103/nah.nah_36_23noisediabetes mellitusepidemiology |
| spellingShingle | Zhaopeng Yu Maomin Song Correlation between Long-Term Exposure to Traffic Noise and Risk of Type 2 Diabetes Mellitus Noise and Health noise diabetes mellitus epidemiology |
| title | Correlation between Long-Term Exposure to Traffic Noise and Risk of Type 2 Diabetes Mellitus |
| title_full | Correlation between Long-Term Exposure to Traffic Noise and Risk of Type 2 Diabetes Mellitus |
| title_fullStr | Correlation between Long-Term Exposure to Traffic Noise and Risk of Type 2 Diabetes Mellitus |
| title_full_unstemmed | Correlation between Long-Term Exposure to Traffic Noise and Risk of Type 2 Diabetes Mellitus |
| title_short | Correlation between Long-Term Exposure to Traffic Noise and Risk of Type 2 Diabetes Mellitus |
| title_sort | correlation between long term exposure to traffic noise and risk of type 2 diabetes mellitus |
| topic | noise diabetes mellitus epidemiology |
| url | https://journals.lww.com/10.4103/nah.nah_36_23 |
| work_keys_str_mv | AT zhaopengyu correlationbetweenlongtermexposuretotrafficnoiseandriskoftype2diabetesmellitus AT maominsong correlationbetweenlongtermexposuretotrafficnoiseandriskoftype2diabetesmellitus |