Increase In Noise Exposure Research Articles

Noise exposure and risk of myocardial infarction incidence and mortality: a dose-response meta-analysis.

The strength and shape of the dose-response relationship between different types of noise and myocardial infarction (MI) remain unclear. Therefore, we aimed to summarize the evidence of the association between various types of noise and MI incidence and mortality through a dose-response meta-analysis. We performed a systematic search of the PubMed, Embase, and Web of Science databases up to December 19, 2021. The generalized least-squares method and restricted cubic splines were used to assess the potential linear and nonlinear dose-response relationships between noise exposure and the risk of MI events. Twenty observational studies with 34 reports met the eligibility criteria. In the linear models, the pooled relative risk and corresponding 95% confidence interval (CI) for MI incidence was 1.04 (95% CI: 1.02 - 1.05), and the MI mortality was 1.02 (95% CI: 1.02 - 1.03) for each 10dB(A) increase in noise exposure. In addition, we observed an approximately J-shaped dose-response relationship between noise and MI mortality (Pnonlinearity = 0.0037), whereas the threshold for the statistical impact of noise on MI mortality may be 42dB(A). Our findings support the notion that various types of noise exposure have a positive dose-response relationship with the risk of MI incidence and mortality.

Investigating the effect of noise exposure on mental disorders and the work ability index among industrial workers

Noise as one of the most common hazardous physical agents in the work environment causes physical and psychological problems in occupied workers. This study aims to investigate the relationship of demographic variables and noise exposure with mental disorder and work ability index in automotive industry workers. This study aims to investigate the effect of noise exposure on mental disorder and work ability index among industry workers. In this descriptive-analytic study, 325 individuals working in auto parts supplier industry who were exposed to different level of noises were investigated. Personnel’s daily exposure to noise for each group was measured based on ISO-9612 standards using calibrated sound level meter model SVANTEK-971. Workers’ mental disorder and work ability index were determined using Kessler Psychological Distress Scale questionnaire and shortened form of work ability index, respectively. Then, collected data were analyzed using SPSS-22. The mean and standard deviation of mental disorder and work ability index for all employees was 23.46 ± 3.45 and 37.43 ± 6.14, respectively. The results of one-way ANOVA and linear regression analysis showed that there is a significant association between noise exposure with mental disorder and work ability index in term of age groups, working groups, and work experience ( p-value < .05). Regardless the effect of other variables, it can be stated that for each dB increase in noise exposure cause mental disorder increase by 0.32 and work ability index decrease by 0.157. And among the demographic variables, age was the most influential parameter on mental health and work ability index. According to the results of this study, noise exposure could lead to increased psychological distress and decreased work ability index in workers. The ability to work directly and indirectly through mental disorders can be affected by exposure to industrial noise. Considering severe exposure to noise in some units and the negative impact of noise exposure on mental health and work ability index, it is necessary to improve of controlling and protective measures against noise.

Short-term exposure to noise on stroke volume and left ventricular contractility: A repeated-measure study

Prolonged exposure to noise has been associated with cardiovascular disease, but the possible mechanism for its influence on cardiac activity is unknown. This study investigated the acute effects of noise exposure on 24-h ambulatory cardiac parameters among male workers. We recruited 75 volunteers in an aviation-industry cohort in 2009. Personal noise-exposure levels and individual cardiac parameters, including stroke volume (SV) and left ventricular contractility (LVC), were measured simultaneously over 24 h on working and nonworking days. Linear mixed-effects regression models were used to estimate transient and sustained effects on ambulatory SV and LVC among high-noise-exposure (≥80 A-weighted decibels [dBA]), low-noise-exposure (<80 dBA) and office workers. Every 1-dBA increase in noise exposure was significantly associated with transient changes of −1.50 (95% confidence interval [CI]: −2.18, −1.03) ml/beat in SV and −1.76 (−2.99, −1.03) L/sec in LVC at work on working days only among high-exposure workers. The 1-dBA increase in nocturnal noise exposure was also significantly associated with transiently decreased SV among high-exposure (−1.62 [−2.15, −1.22] ml/beat), low-exposure (−1.27 [−1.57, −1.03] ml/beat) and office workers (−1.09 [−1.18, −1.00] ml/beat), but only the high-exposure group had the transiently reduced LVC (−1.70, [−2.37, −1.22] L/sec) after the current noise exposure on nonworking days. Such decreasing effects persisted to become sustained decreases in 24-h ambulatory SV in high-exposure (−1.10 [−1.20, −1.01] ml/beat) and office workers (−1.13 [−1.22, −1.05] ml/beat) on working days and in all three groups (−1.19 [−1.36, −1.04]; −1.15 [−1.31, −1.02]; −1.08 [−1.13, −1.02] ml/beat, respectively) on nonworking days. No significant effect on 24-h ambulatory LVC was found in any group on working or nonworking days. Occupational and nocturnal noise exposure may have acute effects on 24-h ambulatory SV among male workers, directly influencing the cardiac function related to cardiovascular disease.

Associations of Various Nighttime Noise Exposure Indicators with Objective Sleep Efficiency and Self-Reported Sleep Quality: A Field Study.

It is unclear which noise exposure time window and noise characteristics during nighttime are most detrimental for sleep quality in real-life settings. We conducted a field study with 105 volunteers wearing a wrist actimeter to record their sleep during seven days, together with concurrent outdoor noise measurements at their bedroom window. Actimetry-recorded sleep latency increased by 5.6 min (95% confidence interval (CI): 1.6 to 9.6 min) per 10 dB(A) increase in noise exposure during the first hour after bedtime. Actimetry-assessed sleep efficiency was significantly reduced by 2%–3% per 10 dB(A) increase in measured outdoor noise (Leq, 1h) for the last three hours of sleep. For self-reported sleepiness, noise exposure during the last hour prior to wake-up was most crucial, with an increase in the sleepiness score of 0.31 units (95% CI: 0.08 to 0.54) per 10 dB(A) Leq,1h. Associations for estimated indoor noise were not more pronounced than for outdoor noise. Taking noise events into consideration in addition to equivalent sound pressure levels (Leq) only marginally improved the statistical models. Our study provides evidence that matching the nighttime noise exposure time window to the individual’s diurnal sleep–wake pattern results in a better estimate of detrimental nighttime noise effects on sleep. We found that noise exposure at the beginning and the end of the sleep is most crucial for sleep quality.

Occupational Noise Exposure and the Risk for Work-Related Injury: A Systematic Review and Meta-analysis.

Occupational noise exposure has been linked to work-related injuries. Strategies to control occupational hazards often rely on dose-response relationships needed to inform policy, but quantitative synthesis of the relevant literature has not been done so far. This study aimed to systematically review the epidemiological literature and to perform meta-analysis of the risk for work-related injury due to occupational noise exposure. PRISMA and MOOSE guidelines were followed. PubMed, ScienceDirect, and Google Scholar were searched up until 15 December 2016 in English, Russian, and Spanish. Reference lists, grey literature, and expert archives were searched as well. The risk of bias was assessed for each study and incorporated into the meta-analysis weights using the quality effects model. Overall, 21 studies were included at the qualitative review stage: 9 cross-sectional, 6 case-control, 4 cohort, 1 case-crossover, and 1 ecological. Noise exposure was assessed objectively in 13 studies. Information on occupational injuries was elicited from medical records/registry in 13 studies. Meta-analyses showed RR = 1.22 (95% CI: 1.15, 1.29) (n = 59028) per 5 dB increase in noise exposure (Cochran's Q = 27.26, P < 0.001, I2 = 67%) and RR = 2.16 (95% CI: 1.61, 2.90) (n = 96023) in the most exposed group (>90-95 dB) compared with the least exposed group (Cochran's Q = 180.46, P < 0.001, I2 = 90%). Subgroup analysis with meta-regression revealed an overall robust pooled risk per 5 dB. There is a dose-response association between occupational noise exposure and work-related injury risk. However, the quality of evidence is 'very low'; therefore, the magnitude of this association should be interpreted with caution.

Occupational Noise Frequencies and the Incidence of Hypertension in a Retrospective Cohort Study

Occupational noise exposure is associated with cardiovascular disease, but little is known about the contributions of noise frequency components. This retrospective study investigated the relationship between exposure to different noise frequencies and the incidence of hypertension. A cohort of 1,002 volunteers from 4 machinery and equipment manufacturing companies in Taichung, Taiwan, was followed from 1973 to 2012. Personal noise measurements and environmental octave-band analyses were performed to divide subjects into different exposure groups. Cox regression models were used to estimate the relative risk of hypertension. Participants exposed to ≥80 A-weighted decibels (dBA) over 8 years had a higher relative risk of hypertension (relative risk = 1.38, 95% confidence interval: 1.02, 1.85) compared with those exposed to <75 dBA. Significant exposure-response patterns were observed between incident hypertension and stratum of noise exposure at frequencies of 250 Hz, 1 kHz, 2 kHz, 4 kHz, and 8 kHz. The strongest effect was found at 4 kHz; a 20-dBA increase in noise exposure at 4 kHz was associated with a 34% higher risk of hypertension (relative risk = 1.34, 95% confidence interval: 1.01, 1.77). Occupational noise exposure may be associated with an increased risk of hypertension, and the 4 kHz component of occupational noise exposure may have the strongest relationship with hypertension.

Road Traffic Noise Exposure in Gothenburg 1975-2010.

Traffic noise exposure within a city varies over time and space. In this study, we developed a modified noise calculation method and used this method together with population and traffic data to estimate the time trend of noise exposure for the population in Gothenburg, Sweden, from 1975 to 2010. The noise calculation method was based on the standard Nordic method for road traffic noise with modifications using area-level statistics for population and building structures instead of precise geocoding of each inhabitant. Noise emission per vehicle was assumed to be constant over the period. The results show an increase in noise exposure over time. The number of inhabitants exposed at an equivalent level above 55 dB increased from 93000 to 146000 inhabitants between 1975 and 2010, and the percentage of the population exposed at this level increased from 22% to 29% over the same period. Traffic increase (1.4% per year) and population increase/concentration (0.50% per year) were approximately equally important factors behind this increase in exposure.

Heart Rate, Stress, and Occupational Noise Exposure among Electronic Waste Recycling Workers.

Electronic waste (e-waste) is a growing occupational and environmental health issue around the globe. E-waste recycling is a green industry of emerging importance, especially in low-and middle-income countries where much of this recycling work is performed, and where many people’s livelihoods depend on this work. The occupational health hazards of e-waste recycling have not been adequately explored. We performed a cross-sectional study of noise exposures, heart rate, and perceived stress among e-waste recycling workers at a large e-waste site in Accra, Ghana. We interviewed 57 workers and continuously monitored their individual noise exposures and heart rates for up to 24 h. More than 40% of workers had noise exposures that exceeded recommended occupational (85 dBA) and community (70 dBA) noise exposure limits, and self-reported hearing difficulties were common. Workers also had moderate to high levels of perceived stress as measured via Cohen’s Perceived Stress Scale, and reported a variety of symptoms that could indicate cardiovascular disease. Noise exposures were moderately and significantly correlated with heart rate (Spearman’s ρ 0.46, p < 0.001). A mixed effects linear regression model indicated that a 1 dB increase in noise exposure was associated with a 0.17 increase in heart rate (p-value = 0.01) even after controlling for work activities, age, smoking, perceived stress, and unfavorable physical working conditions. These findings suggest that occupational and non-occupational noise exposure is associated with elevations in average heart rate, which may in turn predict potential cardiovascular damage.

Environmental noise and incident mental health problems: A prospective cohort study among school children in Germany

BackgroundEnvironmental noise is considered a threat to public health as 20% of the EU population is exposed to health influencing noise levels. An association of noise and mental health problems in children has been suggested by some studies, but results are not consistent and there are no longitudinal studies of this association. Our aim was to investigate the influence of different environmental noise sources at children's homes on incident mental health problems in school-aged children. MethodA cohort study of children from first (t0) to fourth grade (t1) of primary school was conducted. Different environmental noise sources (day/night separately) at children's home were assessed via parental annoyance reports. Increased noise exposure between t0 and t1 was the exposure variable. Incident mental health problems were assessed with the parental version of the Strengths and Difficulties Questionnaire (SDQ). RRs and 95% CIs were analysed to investigate the association between different noise sources and incident mental health problems. ResultsThe study population consisted of 583 boys and 602 girls. The most common increase in noise exposure between t0 and t1 was road traffic noise day (26.38%). After adjusting for covariates exposure to road traffic night was significantly associated with the total difficulties score (RR=2.06; 95% CI=1.25–3.40), emotional symptoms (RR=1.69, 95% CI=1.04–2.72), and conduct problems (RR=1.57, 95% CI=1.04–2.38). Noise by neighbours during the day was associated with conduct problems (RR=1.62, 95% CI=1.11–2.40) and hyperactivity (RR=1.69, 95% CI=1.08–2.65). Aircraft noise day and construction work day were not associated with any of the SDQ categories at a significant level. ConclusionEnvironmental noise is an important public health problem. This is the first study to investigate the association of a broad range of noise sources and incident mental health problems in children in a cohort study. Our results suggest that exposure to noise at children's home is associated with mental health problems such as emotional symptoms, conduct problems and hyperactivity.

The relationship between transportation noise exposure and ischemic heart disease: A meta-analysis

BackgroundThere is a growing body of evidence that exposure to transportation related noise can adversely affect health and wellbeing. More recently, research on cardiovascular disease has specifically explored the hypothesis that exposure to transportation noise increases the risk for ischemic heart disease (IHD). Our objective was to review and conduct a meta-analysis to obtain an overall exposure–response association. Methods and resultsWe conducted a systematic review and retained published studies on incident cases of IHD using sources of transportation noise as exposure. Study-specific results were transformed into risk estimates per 10dB increase in exposure. Subsequently we conducted a random effects meta-analysis to pool the estimates. We identified 10 studies on road and aircraft noise exposure conducted since the mid-1990s, providing a total of 12 risk estimates. Pooled relative risk for IHD was 1.06 (1.03–1.09) per 10dB increase in noise exposure with the linear exposure–response starting at 50dB. Based on a small number of studies, subgroup analyses were suggestive of higher risk for IHD for males compared to females (p=0.14), and for persons over 65 years of age compared to under (p=0.22). Air pollution adjustment, explored only in a subset of four studies, did not substantially attenuate the association between noise exposure and IHD. ConclusionsThe evidence for an effect of transportation noise with IHD necessitates further research into the threshold and the shape of the exposure–response association, potential sources of heterogeneity and effect modification. Research in different cultural contexts is also important to derive regional and local estimates for the contribution of transportation noise to the global burden of disease.

Algorithm of minimizing the metodical error of assessing the signal frequency by the maximum spectrum

Розглядається проблема вибору вагової функції та масштабного множника із врахуванням особливостей спектра дискретних сигналів. Описуються залежності максимальних значень методичних похибок від нормованої частоти при використані вагової функції Кайзера-Бесселя та Дольфа-Чебишева. Наводиться алгоритм адаптивної оптимізації вибірки, перевірка отриманих теоретичних результатів проводилась методом чисельного моделювання.

Road traffic noise, sleep and mental health

This study examines the relationship between road traffic noise, self-reported sleep quality and mental health. The study is cross-sectional and based on data from a survey conducted in Oslo, Norway, in 2000. Psychological distress (Hopkins Symptom Checklist, HSCL-25) was measured along with self-reported somatic health, sleep quality, noise sensitivity and socioeconomic variables. Questionnaire data were combined with modeled estimates of noise exposure. The total study sample consisted of 2898 respondents. After adjustment for potential confounders and stratifying for sleep quality, we found a positive, but not statistically significant association between noise exposure and symptoms of psychological distress among participants with poor sleep quality (slope=0.06, 95% CI: −0.02 to 0.13, per 10dB increase in noise exposure). In the same sleep quality group, we found a borderline statistically significant association between noise exposure and a symptom level indicating a probable mental disorder (HSCL≥1.55) (odds ratio=1.47, 95% CI: 0.99–1.98, per 10dB increase in noise exposure). We found no association between road traffic noise and mental health among subjects reporting good and medium sleep quality. The results suggest that road traffic noise may be associated with poorer mental health among subjects with poor sleep. Individuals with poor sleep quality may be more vulnerable to effects of road traffic noise on mental health than individuals with better sleep quality.

Effects of environmental noise exposure on ambulatory blood pressure in young adults

Epidemiological studies have demonstrated that environmental noise exposure is associated with hypertension in middle-aged and older populations, but the relationship in the young subpopulation and between the genders is still unclear. This panel study investigated effects of environmental noise exposure on 24-h ambulatory blood pressure in 60 adults aged 18-32 years. Individual noise exposure and personal blood pressure were measured simultaneously for 30 males and 30 females. Linear mixed-effects regression models were applied to estimate effects. Total subjects (56.6+/-16.5A-weighted decibels (dBA)) had transient elevations of 1.15 (95% CI=0.86-1.43)mmHg SBP and 1.16 (0.93-1.38)mmHg DBP at daytime, as well as 0.74 (0.21-1.26)mmHg SBP and 0.77 (0.34-1.20)mmHg DBP at nighttime, significantly associated with a 5-dBA increase in noise exposure. Such effects on SBP and DBP still persisted at the 30- and 60-min time-lagged noise exposure. Per 5-dBA increase in 24-h average noise exposure was significantly associated with sustained increments of 1.15 (0.76-1.54)mmHg SBP and 1.27 (0.96-1.58)mmHg DBP in males (57.4+/-16.0dBA), as well as the higher levels of 1.65 (1.36-1.94)mmHg SBP and 1.51 (1.27-1.75)mmHg DBP in females (55.9+/-17.0dBA). We found that environmental noise exposure may have elevated effects on adults' blood pressure. Young females are more susceptible to noise exposure than males.

Road traffic noise and hypertension

Background: It has been suggested that noise exposure increases the risk of hypertension. Road traffic is the dominant source of community noise exposure. Objective: To study the association between exposure...

Acoustical considerations in design of semienclosed small arms training facility

Semienclosed small arms training ranges combine bullet trap features of an indoor range with the ventilation of outdoor ranges. Acoustic reverberation of indoor ranges and directivity effects of outdoor ranges are also combined in the semienclosed range. When designers of a semienclosed range failed to design for the acoustic directivity of guns, community noise levels increased and residents who had adapted to a long‐standing noise environment from an outdoor range began complaining. Personnel on the firing line also noticed an increase. Measurements at the firing line demonstrated a sevenfold increase in the occupational noise dose, while measurements made out to 500 m demonstrated an 8‐dB increase in the community noise exposure. The 8‐dB increase was attributed to the reflection of the forward weapon report from the bullet trap baffles. The increase in noise exposure at the firing line was attributed to reverberation from the side walls and roof of the semienclosed range. The measures to reduce both t...