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Preplanned Studies: Associations of Occupational Noise Exposure with Hearing-Related Functional Difficulty and Menstrual Abnormalities Among Female Workers — Selected Regions, China, 2024–2025

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  • Summary

    What is already known about this topic?

    Occupational noise exposure is a well-established risk factor for adverse auditory outcomes. Emerging evidence suggests it may also affect women’s reproductive health.

    What is added by this report?

    Among 1,538 female workers, high occupational noise exposure was associated with hearing-related functional difficulty [adjusted odds ratio aOR=1.79, 95% confiden ceinterval (CI): 1.30–2.46] and menstrual abnormalities (aOR=2.70, 95% CI: 1.96–3.73). These findings remained consistent in sensitivity analyses for menstrual abnormalities, and mean noise annoyance was higher in the high-noise group (2.61 vs. 2.22). Indirect effects through noise annoyance were modest for hearing-related outcomes and not statistically significant for menstrual abnormalities.

    What are the implications for public health practice?

    Occupational noise management for female workers should consider hearing and menstrual health effects, with greater attention to female reproductive health in risk assessments and surveillance.

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  • Conflicts of interest: No conflict of interest.
  • Funding: Supported by the Jiangsu Provincial Key Medical Discipline (ZDXK202249), the Special Fund of Jiangsu Provincial Science and Technology Program (BE2022803), the Jiangsu Provincial Phase Ⅵ "333 High-Level Talent Training Project," the Jiangsu Provincial Engineering Research Center Project (Organ-on-a-Chip for "Disease X")
  • [1] Yang L, Posner RG, Salanga MC, Traustadóttir T, Guthrie OW. Long-term effects of acute hazardous noise on auditory and non-auditory organs. J Toxicol Environ Health Part A 2025;88(13):519 − 35. https://doi.org/10.1080/15287394.2025.2467177.
    [2] Gong XP, Fenech B, Blackmore C, Chen YX, Rodgers G, Gulliver J, et al. Association between noise annoyance and mental health outcomes: a systematic review and meta-analysis. Int J Environ Res Public Health 2022;19(5):2696. https://doi.org/10.3390/ijerph19052696.
    [3] Grocott K, Mansour A, Shiels E, Bentley R, Mason K. Mental health effects of exposure to environmental noise at home: a systematic review of potential mediating pathways. Noise Health 2025;27(126):255 − 67. https://doi.org/10.4103/nah.nah_171_24.
    [4] Hahad O, Kuntic M, Al-Kindi S, Kuntic I, Gilan D, Petrowski K, et al. Noise and mental health: evidence, mechanisms, and consequences. J Expo Sci Environ Epidemiol 2025;35(1):16 − 23. https://doi.org/10.1038/s41370-024-00642-5.
    [5] Qi BE, Dong RJ, Cui J, En H, Cheng XH, Fu XX, et al. Analysis of hearing screening results in adult health check-up population. J Clin Otorhinolaryngol Head Neck Surg (China) 2020;34(11):986 − 9. https://doi.org/10.13201/j.issn.2096-7993.2020.11.006.
    [6] Munro MG, Critchley HOD, Fraser IS, FIGO Menstrual Disorders Committee. The two FIGO systems for normal and abnormal uterine bleeding symptoms and classification of causes of abnormal uterine bleeding in the reproductive years: 2018 revisions. Int J Gynecol Obste 2018;143(3):393 − 408. https://doi.org/10.1002/ijgo.12666.
    [7] General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, National Standardization Administration. GB/Z 21233-2007 Acoustics—Assessment of noise annoyance by means of social and socio-acoustics surveys. Beijing: Standards Press of China, 2008. http://www.csres.com/detail/186019.html. (In Chinese).
    [8] Su ZN, Fan SH, Niu YM, Wu JL, Wu QS, Zhou BX, et al. The association between occupational noise exposure and hearing loss among petrochemical enterprise workers in Hainan, South China. Sci Rep 2025;15(1):9447. https://doi.org/10.1038/s41598-025-90023-1.
    [9] Tomljenović R, Košec A, Kalogjera L, Ćelap I, Marijančević D, Vagić D. Salivary cortisol concentration is an objective measure of the physiological response to loud music. Audiol Res 2024;14(6):1093 − 104. https://doi.org/10.3390/audiolres14060090.
    [10] Męczekalski B, Niwczyk O, Battipaglia C, Troia L, Kostrzak A, Bala G, et al. Neuroendocrine disturbances in women with functional hypothalamic amenorrhea: an update and future directions. Endocrine 2024;84(3):769 − 85. https://doi.org/10.1007/s12020-023-03619-w.
  • FIGURE 1.  Crude prevalence of hearing-related functional difficulty and menstrual abnormalities and mean annoyance score by the low-noise [LEX,8h<85 dB(A)] and high-noise [LEX,8h≥85 dB(A)] groups. (A) unadjusted prevalence of hearing-related functional difficulty and menstrual abnormalities. (B) mean annoyance score with 95% confidence intervals.

    Note: LEX,8h=8-hour normalized A-weighted equivalent continuous sound level.

    FIGURE 2.  Adjusted associations of high occupational noise exposure with hearing-related functional difficulty and menstrual abnormalities.

    Note: Points indicate odds ratios and horizontal lines indicate 95% CIs. Results are shown for the main adjusted models and menstrual sensitivity/subgroup analyses.

    Abbreviation: OR=odds ratio; CI=confidence interval.

    TABLE 1.  Baseline characteristics of participants stratified by noise exposure group.

    Variable <85 dB(A) (n=921) n (%) ≥85 dB(A) (n=617) n (%) P
    Age (years) 39.27 (6.50) 39.47 (6.10) 0.537
    BMI (kg/m2) 23.03 (3.11) 22.89 (3.06) 0.389
    Menarche age (year) 14.17 (1.56) 14.06 (1.63) 0.219
    Exposure duration (year) 4 (2,9) 7 (3,12) <0.001
    LEX,8h [dB(A)] 78.16 (5.61) 86.59 (2.24) <0.001
    Study site
    Beijing 66 (7.17) 15 (2.43) <0.001
    Hebei 487 (52.88) 196 (31.77)
    Chongqing 249 (27.04) 59 (9.56)
    Gansu 119 (12.92) 347 (56.24)
    Smoking status
    Non-smoking 917 (99.57) 614 (99.51) 1.000
    Smoking 4 (0.43) 3 (0.49)
    Alcohol consumption
    Occasional/none 895 (97.18) 603 (97.73) 0.613
    Regular drinking 26 (2.82) 14 (2.27)
    Annoyance
    Not at all 214 (23.24) 67 (10.86) <0.001
    Slight 337 (36.59) 225 (36.47)
    Moderate 336 (36.48) 228 (36.95)
    Severe 22 (2.39) 74 (11.99)
    Very severe 12 (1.30) 23 (3.73)
    Shift work
    Normal shift 481 (52.23) 259 (41.98) <0.001
    Day-shift rotation 82 (8.90) 80 (12.97)
    Night-shift rotation 358 (38.87) 278 (45.06)
    Parity history
    Yes 794 (86.21) 550 (89.14) 0.106
    No 127 (13.79) 67 (10.86)
    Menstrual abnormality
    Normal 774 (84.04) 413 (66.94) <0.001
    Abnormal 147 (15.96) 204 (33.06)
    Hearing-related functional difficulty
    Normal 809 (87.84) 454 (73.58) <0.001
    Abnormal 112 (12.16) 163 (26.42)
    Note: Continuous variables are presented as mean (SD) or median (interquartile range), as appropriate. Categorical variables are presented as n (%). P values were calculated using Welch’s t-test, Mann–Whitney U test, chi-squared test, or Fisher’s exact test, as appropriate. The noise exposure groups were defined according to the individual 8-hour equivalent continuous A-weighted sound pressure level [LEX,8h], with <85 dB(A) as the low-noise group and ≥85 dB(A) as the high-noise group. Shift work was classified as normal shift, day-shift rotation, and night-shift rotation according to the self-reported work schedule. Parity history refers to whether the participant had a childbirth history (yes/no).
    Abbreviation: BMI=body mass index; LEX,8h=8-hour normalized A-weighted equivalent continuous sound level; SD=standard deviation.
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Associations of Occupational Noise Exposure with Hearing-Related Functional Difficulty and Menstrual Abnormalities Among Female Workers — Selected Regions, China, 2024–2025

View author affiliations

Summary

What is already known about this topic?

Occupational noise exposure is a well-established risk factor for adverse auditory outcomes. Emerging evidence suggests it may also affect women’s reproductive health.

What is added by this report?

Among 1,538 female workers, high occupational noise exposure was associated with hearing-related functional difficulty [adjusted odds ratio aOR=1.79, 95% confiden ceinterval (CI): 1.30–2.46] and menstrual abnormalities (aOR=2.70, 95% CI: 1.96–3.73). These findings remained consistent in sensitivity analyses for menstrual abnormalities, and mean noise annoyance was higher in the high-noise group (2.61 vs. 2.22). Indirect effects through noise annoyance were modest for hearing-related outcomes and not statistically significant for menstrual abnormalities.

What are the implications for public health practice?

Occupational noise management for female workers should consider hearing and menstrual health effects, with greater attention to female reproductive health in risk assessments and surveillance.

  • 1. Occupational Disease Monitoring and Evaluation Institute, Jiangsu Provincial Center for Disease Control and Prevention (Jiangsu Provincial Academy of Preventive Medicine), Nanjing City, Jiangsu Province, China
  • 2. Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing City, Jiangsu Province, China
  • 3. National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China
  • Corresponding authors:

    Meibian Zhang, zhangmb@niohp.chinacdc.cn

    Lei Han, hanlei@jscdc.cn

  • Funding: Supported by the Jiangsu Provincial Key Medical Discipline (ZDXK202249), the Special Fund of Jiangsu Provincial Science and Technology Program (BE2022803), the Jiangsu Provincial Phase Ⅵ "333 High-Level Talent Training Project," the Jiangsu Provincial Engineering Research Center Project (Organ-on-a-Chip for "Disease X")
  • Online Date: May 08 2026
    Issue Date: May 08 2026
    doi: 10.46234/ccdcw2026.093
    • Introduction: This study examined the associations among occupational noise exposure, hearing-related functional difficulty, and menstrual abnormalities in female workers, and explored the potential role of noise annoyance.

      Methods: In this cross-sectional survey, 3,283 female workers were screened, and 1,538 were included in the final analysis. Multivariate logistic regression and exploratory mediation analyses were conducted with bootstrap resampling.

      Results: The prevalence rates of menstrual abnormalities and hearing-related functional difficulties were 22.82% and 17.88%, respectively. High occupational noise exposure was associated with higher odds of hearing-related functional difficulty [adjusted odds ratio (aOR)=1.79, 95% confidence interval (CI): 1.30–2.46] and menstrual abnormalities (aOR=2.70, 95% CI: 1.96–3.73). Sensitivity analyses for menstrual abnormalities yielded consistent results. In the exploratory mediation analyses, the indirect effect estimates were modest for hearing-related outcomes and not statistically significant for menstrual abnormalities.

      Conclusion: High occupational noise exposure is associated with higher odds of hearing-related functional difficulties and menstrual abnormalities in female workers. Noise annoyance may represent a potential explanatory pathway for hearing-related outcomes; however, the mediation findings should be interpreted cautiously.

    • Occupational noise is a pervasive hazard in modern industries, and its adverse effects extend beyond the auditory system (1). As an environmental stressor, noise can disrupt endocrine equilibrium. Emerging evidence suggests that chronic noise exposure is associated with menstrual abnormalities. However, the mechanisms linking physical exposure to reproductive outcomes remain unclear.

      Noise annoyance has been proposed as a psychophysiological stress-related response that may explain how noise exposure affects health. This rationale is supported by a systematic review and meta-analysis showing that high noise annoyance is associated with poorer mental health outcomes. A recent systematic review suggests that noise annoyance is among the most plausible mediating pathways linking noise exposure to adverse health effects (23). Recent reviews have indicated that noise-related stress may affect mental and physiological health through broader stress and neuroendocrine pathways (4). This cross-sectional study examined occupational noise exposure, hearing-related functional difficulties, and menstrual abnormalities in female workers. By evaluating whether noise-related disturbances represent a potential explanatory pathway for these associations, this study aims to provide evidence for more comprehensive occupational health interventions that address both physical hazards and work-related stress responses.

      This cross-sectional survey was conducted in 2024-2025 across enterprises in the food, machinery, and mining sectors in four provincial-level administrative divisions (PLADs) of China (Gansu, Beijing, Hebei, and Chongqing). Study sites and industries were selected to capture regional variations, reflect industry-specific noise exposure patterns, and ensure feasibility in field implementation. Participants were recruited from representative enterprises in each study region. A total of 3,283 female workers were screened, and 1,538 were included in the final analysis after applying the prespecified exclusion criteria and removing records with incomplete information; the recruitment and exclusion process is shown in Supplementary Figure S1 . The study protocol was approved by the Ethics Committee of the National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention (NIOHP202324). All the participants provided written informed consent. The inclusion criteria were: 1) age between 20 and 50 years, and 2) at least one year of employment at the factory, with at least six months in the current position. The exclusion criteria were as follows: 1) pregnant or breastfeeding women; 2) use of hormone medications or ototoxic drugs in the past 3–6 months; and 3) diagnosis of organic reproductive system diseases, ear disorders, or a history of surgery.

      Individual occupational noise exposure was quantified as the 8-h normalized A-weighted equivalent continuous sound level [LEX,8h, dB(A)] for each participant. Noise was measured using a personal noise dosimeter (ASV5910-R, Hangzhou Aihua Instruments Co., Ltd.) according to GBZ/T 189.8–2007 (Measurement of Physical Agents in Workplace — Part 8: noise). Each participant was measured thrice during routine shifts, and the dosimeter was calibrated before and after each measurement using a sound-level calibrator.

      A structured questionnaire was used to collect data on: 1) General information, including age, education, marital status, smoking, alcohol consumption, work duration, shift work, hearing protection use, age at menarche, and parity history. Shift work was classified according to the self-reported work schedule into normal shift, day-shift rotation, and night-shift rotation. When both day- and night-shift rotations were reported, the participants were classified as having night-shift rotations. Parity history refers to whether the participant had a previous childbirth history (yes/no). 2) Hearing-related functional difficulty was assessed using the Hearing Handicap Inventory for Adults (HHIA) (5). Each participant rated the frequency of hearing difficulties, and responses were summed to yield a total score, with higher scores indicating greater functional impairment. An HHIA >8 indicated hearing-related functional difficulty. 3) Menstrual abnormalities were evaluated using self-reporting based on clinical criteria (6), including cycle irregularities (<21 or >35 days), abnormal flow (excessive or <5 mL), and duration (<2 or >8 days). Any abnormality was classified as a menstrual abnormality. 4) Noise annoyance was assessed using a five-point scale specified in the Chinese national standard GB/Z 21233–2007 (Acoustics — Assessment of noise annoyance in social and socio-acoustic surveys). The response options ranged from "not at all" to "very severe" (7).

      Data were double-entered into Microsoft Excel and analyzed using Python (version 3.13.5, Python Software Foundation, Fredericksburg, VA, US) with pandas, numpy, and statsmodels. Baseline characteristics across noise exposure groups were compared using Welch's t-test or the Mann–Whitney U test for continuous variables and the chi-squared test or Fisher's exact test for categorical variables, as appropriate. Multivariable logistic regression was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs). The hearing-related model was adjusted for age, education, marital status, work duration, shift work, body mass index, smoking, alcohol consumption, hearing protection use, hypertension, diabetes, hyperlipidemia, and study site. The menstrual abnormality model adjusted for age, education, marital status, work duration, shift work, body mass index, smoking, alcohol consumption, hypertension, diabetes, hyperlipidemia, age at menarche, parity history, perimenopausal status, and study site. Mediation analysis was conducted using a regression-based approach with 5,000 bootstrap re-samples. In this framework, the total effect represents the overall association between occupational noise exposure and the outcome, the direct effect reflects the association after accounting for noise annoyance, and the indirect effect represents the portion operating through noise annoyance. The proportion of mediation was calculated as the indirect effect divided by the total effect.

      Among the 1,538 female workers in the final analysis, the mean age was 39.35 (6.34) years. The prevalence rates of menstrual abnormalities and hearing-related functional difficulties were 22.82% and 17.88%, respectively. The baseline characteristics stratified by noise exposure group are shown in Table 1; both outcomes were more common in the high-noise group (Figure 1). After adjustment for potential confounders, high occupational noise exposure was significantly associated with hearing-related functional difficulty (aOR=1.79, 95% CI: 1.30–2.46) and menstrual abnormalities (aOR=2.70, 95% CI: 1.96–3.73) (Figure 2). Sensitivity analyses redefining perimenopausal status using a cutoff of ≥40 years, as well as subgroup analyses restricted to women aged <45 years, yielded generally consistent results for menstrual abnormalities (perim40: OR=2.70, 95% CI: 1.96–3.72; age <45 years: OR=3.32, 95% CI: 2.25–4.91). In the mediation analyses, the indirect effect estimates were modest for hearing-related outcomes and were not statistically significant for menstrual abnormalities (Supplementary Figure S2).

      Variable <85 dB(A) (n=921) n (%) ≥85 dB(A) (n=617) n (%) P
      Age (years) 39.27 (6.50) 39.47 (6.10) 0.537
      BMI (kg/m2) 23.03 (3.11) 22.89 (3.06) 0.389
      Menarche age (year) 14.17 (1.56) 14.06 (1.63) 0.219
      Exposure duration (year) 4 (2,9) 7 (3,12) <0.001
      LEX,8h [dB(A)] 78.16 (5.61) 86.59 (2.24) <0.001
      Study site
      Beijing 66 (7.17) 15 (2.43) <0.001
      Hebei 487 (52.88) 196 (31.77)
      Chongqing 249 (27.04) 59 (9.56)
      Gansu 119 (12.92) 347 (56.24)
      Smoking status
      Non-smoking 917 (99.57) 614 (99.51) 1.000
      Smoking 4 (0.43) 3 (0.49)
      Alcohol consumption
      Occasional/none 895 (97.18) 603 (97.73) 0.613
      Regular drinking 26 (2.82) 14 (2.27)
      Annoyance
      Not at all 214 (23.24) 67 (10.86) <0.001
      Slight 337 (36.59) 225 (36.47)
      Moderate 336 (36.48) 228 (36.95)
      Severe 22 (2.39) 74 (11.99)
      Very severe 12 (1.30) 23 (3.73)
      Shift work
      Normal shift 481 (52.23) 259 (41.98) <0.001
      Day-shift rotation 82 (8.90) 80 (12.97)
      Night-shift rotation 358 (38.87) 278 (45.06)
      Parity history
      Yes 794 (86.21) 550 (89.14) 0.106
      No 127 (13.79) 67 (10.86)
      Menstrual abnormality
      Normal 774 (84.04) 413 (66.94) <0.001
      Abnormal 147 (15.96) 204 (33.06)
      Hearing-related functional difficulty
      Normal 809 (87.84) 454 (73.58) <0.001
      Abnormal 112 (12.16) 163 (26.42)
      Note: Continuous variables are presented as mean (SD) or median (interquartile range), as appropriate. Categorical variables are presented as n (%). P values were calculated using Welch’s t-test, Mann–Whitney U test, chi-squared test, or Fisher’s exact test, as appropriate. The noise exposure groups were defined according to the individual 8-hour equivalent continuous A-weighted sound pressure level [LEX,8h], with <85 dB(A) as the low-noise group and ≥85 dB(A) as the high-noise group. Shift work was classified as normal shift, day-shift rotation, and night-shift rotation according to the self-reported work schedule. Parity history refers to whether the participant had a childbirth history (yes/no).
      Abbreviation: BMI=body mass index; LEX,8h=8-hour normalized A-weighted equivalent continuous sound level; SD=standard deviation.

      Table 1.  Baseline characteristics of participants stratified by noise exposure group.

      Figure 1. 

      Crude prevalence of hearing-related functional difficulty and menstrual abnormalities and mean annoyance score by the low-noise [LEX,8h<85 dB(A)] and high-noise [LEX,8h≥85 dB(A)] groups. (A) unadjusted prevalence of hearing-related functional difficulty and menstrual abnormalities. (B) mean annoyance score with 95% confidence intervals.

      Note: LEX,8h=8-hour normalized A-weighted equivalent continuous sound level.
      Figure 2. 

      Adjusted associations of high occupational noise exposure with hearing-related functional difficulty and menstrual abnormalities.

      Note: Points indicate odds ratios and horizontal lines indicate 95% CIs. Results are shown for the main adjusted models and menstrual sensitivity/subgroup analyses.

      Abbreviation: OR=odds ratio; CI=confidence interval.

    • This study found that high occupational noise exposure is associated with increased odds of hearing-related functional difficulties and menstrual abnormalities among female workers. This association with hearing-related outcomes is consistent with previous evidence suggesting adverse auditory effects of occupational noise exposure (8). The indirect effect estimates for noise annoyance in the hearing-related model were modest, suggesting that psychophysiological stress responses may represent a potential explanatory pathway, in addition to direct auditory injury. The first mechanism is the well-established direct mechanical injury to cochlear hair cells. The second mechanism may be an indirect psychophysiological pathway in which chronic annoyance activates the HPA axis (9). Triggering the stress response (e.g., altered blood flow and oxidative stress) can amplify cochlear damage. Because this was a cross-sectional study, the findings should not be interpreted as evidence of a confirmed causal mediation pathway. We also observed a significant association between high noise exposure and menstrual abnormalities. Menstrual function depends on coordinated neuroendocrine regulation, and chronic stress related to noise exposure may contribute to menstrual disturbance (10). However, no statistically significant indirect effect of noise annoyance on menstrual abnormalities was observed, suggesting that other mechanisms may be involved.

      This study had several limitations. First, due to its cross-sectional design, the temporal sequence and causal pathways could not be established, and the mediation findings should be interpreted cautiously. Second, the HHIA reflects self-reported hearing-related difficulty rather than objective audiometric hearing loss. Therefore, the findings should not be interpreted as evidence of clinically confirmed or noise-induced hearing loss. Third, menstrual abnormalities were defined using broad self-reported composite outcomes. Additionally, the observed prevalence may have been influenced by study sites, industries, and sampling proportions. Because only participants meeting the eligibility criteria with complete information were included in the final analysis, selection bias could not be excluded. Residual confounding factors and reporting biases were not excluded.

      Overall, occupational noise exposure is associated with hearing-related functional difficulties and menstrual abnormalities. Noise annoyance may represent a potential explanatory pathway for hearing-related outcomes; however, the mediation findings should be interpreted cautiously. Longitudinal studies are required to elucidate these underlying mechanisms.

  • Conflicts of interest: No conflict of interest.
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