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. 2023 May 10;46(5):zsac197.
doi: 10.1093/sleep/zsac197.

Association between indoor noise level at night and objective/subjective sleep quality in the older population: a cross-sectional study of the HEIJO-KYO cohort

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Association between indoor noise level at night and objective/subjective sleep quality in the older population: a cross-sectional study of the HEIJO-KYO cohort

Yuki Yamagami et al. Sleep. .

Abstract

Study objectives: Noise exposure could be an important risk factor for low sleep quality; however, evidence on indoor noise in large-scale populations is limited. We evaluate the association between indoor noise at night and objective and subjective sleep quality in the older population.

Methods: In this cross-sectional study of 1076 participants (≥60 years), we measured indoor noise at night (A-weighted equivalent noise from bedtime to rising time [LAeq]) using a portable noise level meter set in bedrooms and sleep quality using actigraphy and a questionnaire for 2 nights. Using multivariable linear regression models, we examined the associations between indoor noise at night and objective and subjective sleep parameters independent of potential confounders such as age, body mass index, and sleep medication.

Results: Increased indoor noise at night by 1 dB of LAeq was significantly associated with lower objective sleep quality, such as lower sleep efficiency (regression coefficient [β], -0.19%; 95% confidence interval [95% CI], -0.26 to -0.12; p < 0.001), longer log-transformed sleep onset latency (β, 0.02 log min; 95% CI 0.01 to 0.03; p< 0.001) and wake after sleep onset (β, 0.66 min; 95% CI 0.40 to 0.92; p < 0.001), and higher log-transformed fragmentation index (β, 0.01; 95% CI 0.008 to 0.017; p < 0.001). These results remained consistent in the analysis using noise-event rate (≥45 dB) as an independent variable.

Conclusion: This study revealed the quantitative association between indoor noise at night and objective and subjective sleep quality in the older population. Reducing noise and improving sleep quality may prevent fatal diseases.

Keywords: actigraphy; environmental noise; indoor noise; night noise; objective measures; sleep quality.

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Figures

Figure 1.
Figure 1.
Unadjusted objective sleep parameters by quartile groups of indoor noise at night. Error bars indicate 95% confidence intervals of the means. The P-values were estimated using linear regression analysis. The median [range] indoor noise at night (LAeq) in the quartile groups are Q1, 37.1 [31.0–39.36]; Q2, 41.7 [39.39–43.693]; Q3, 45.8 [43.695–48.128], and Q4, 51.2 [48.130–67.6], respectively.
Figure 2.
Figure 2.
Unadjusted subjective sleep parameters by quartile groups of indoor noise at night. Error bars indicate 95% confidence intervals of the means. The P-values were estimated using linear regression analysis. The median [range] indoor noise at night (LAeq) in the quartile groups are Q1, 37.1 [31.0–39.36]; Q2, 41.7 [39.39–43.693]; Q3, 45.8 [43.695–48.128], and Q4, 51.2 [48.130–67.6], respectively.

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