Received 22 June 2016; accepted 23 August 2016; published 26 August 2016
Occupational noise exposure is a worldwide problem, which has become one of the most influential occupational hazards. Every year, the occupational disease caused by occupational noise exposure in the new occupational disease ranking has been located in the top  .
The impact of noise on human health is multifaceted. Long time working in noisy environment without protection can not only cause hearing loss, but also affect the human nervous system, cardiovascular system, digestive system and other adverse effects.
Grinding is one of the main production processes of marine heavy industry enterprises. The grinders have the characteristics of high individual noise intensity, long contact time and large working number. At present, there are few reports on the impact of long-term occupational noise exposure on cognitive ability to grinders.
Xie Hong-Wei’s research   showed that there was dose-response relationship between cumulative noise exposure (CNE) and hearing loss. The change of cognitive ability can be used to judge the degree of damage caused by occupational hazard factors. As the typical work type suffered from occupational noise exposure, there were few research findings on cognitive ability of grinders. From the author’s professional point of view, cumulative noise exposure (CNE) of grinders was one appropriate point for research subject. Therefore, we started from the CNE based on the level of individual noise exposure to understand the influence of occupational noise exposure on the cognitive ability of grinders.
2. Object and Method
The marine heavy industry enterprises selected in this study was located in Qingdao, China, with the main products of ocean-going freighter and offshore platform. The enterprises had more than 1900 employees, moved to present site in 2005.
The number of the grinders was determined by the production order, provided by labor service company. During monitoring, there were nearly 1400 grinders working in the enterprises. The sample size was set by 10 percent of the grinders. In order to avoid the invalid data which may be produced during monitor process, we increased the sample size by 1%, and finally determined the sample size of 155.
According to “Law of the People’s Republic of China on Prevention and Control of Occupational Diseases” and relevant laws and regulations, the employer shall have the factors of occupational disease hazards monitored and assessed regularly at the workplace. The author’s unit was a service organization with Grade A qualification. Before carrying out this study, safety and environmental protection department of the enterprises has informed the monitored grinders, and obtained consent. This study didn’t involve individual biological indicators, so it was not necessary to make ethical clearance.
The object of study was chosen by random sampling method with the help from safety and environmental protection department of the enterprises. 155 grinders were chosen as the exposure group. The exposure group consisted of 155 male grinders and 0 female grinder, average age was (30.4 + 6.2) years old, average noise exposure seniority was (6.2 + 4.7) years. The control group was composed of administrative personnel of the same enterprise. The control group usually worked in the administrative office, didn’t contact with the factors of occupational disease hazards. The control group consisted of 104 male and 46 female, average age was (29.6 ± 7.25) years old, average seniority was (7.8 ± 4.1) years. There was no significant difference in age, length of service between the exposure group and the control group (t age = 1.118, P > 0.05; t seniority = 0.095, P > 0.05).
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・ Investigation of general situation and cognitive ability.
・ Determination of LAeq.8h.
・ QUEST noise pro personal noise dosimeter was applied for monitoring. According to “Measurement of Physical Agents in Workplace Part 8: Noise” (GBZ/T189.8-007), the frequency range was 20 Hz - 8 kHz, detection interval 1second, detection time 8 h, continuous detection of 3 classes. The grinders with LAeq.8h values greater than or equal to 80 dB (A) were assigned to high exposure group; those less than 80 dB (A) belong to the low exposure group.
・ Cumulative noise exposure (CNE).
・ Based on the characteristics of grinding work, daily working hours of grinders were not fixed 8 hours. LAeq.8h values need to be converted according to actual working situation.
・ The LAeq.8h and the grinders’ noise exposure level were combined into the cumulative noise exposure, which was used to quantify the noise exposure of each study object  .
In this study, the workplace of all the study objects were relatively fixed, so formula (1) can be simplified into:
2.3. Statistical Analysis
EpiData 3.0 database was used for data entry, SPSS 16.0 software package was used for data statistical analysis. Single factor analysis was made on the relationship between the level of occupational noise exposure and cognitive ability. After controlling the covariates, we compared the differences in cognitive ability of different exposure groups, and then made the analysis on the factors which may affect workers’ cognitive ability by multiple linear-regression analysis. The inspection level a = 0.05.
3.1. Monitoring Results of Individual Noise Exposure Intensity
The time points of data collection was concentrated in June of each year, the exposure group and control group were detected simultaneously. The individual noise exposure intensity of grinders during 2013-2015 was respectively 86.8 - 90.8, 88.6 - 92.2, 87.8 - 91.9 dB (A); the results of control group was 64.5 - 67.3, 63.7 - 68.2, 64.4 - 67.8 dB (A).
3.2. Basic Situation of Workers
Chi-square test was applied to compare the distribution of basic situation of the workers in different groups. The result showed that age, marital status were statistically significant (P < 0.05), but cultural differences were not (P < 0.05). Therefore, covariance analysis was applied to control the age, marital status and other factors on the cognitive ability of workers during the analysis procedure.
3.3. Score of MoCA in Different Groups
3.4. Multiple Linear-Regression Analysis on the Factors May Influence Cognitive Ability
In order to avoid the possible interaction between the factors, multiple linear-regression analysis was applied to analyze the factors which may influence cognitive ability. MoCA total score was taken as the dependent variable; educational level, age, and others as independent variable.
The value of P entry model was evaluated 0.05; value of P of retention variable was evaluated 0.10; confidence level was 0.05. Variables into the regression equation were shown in Table 2.
By making use of CNE up to 2015, Pearson single factor analysis was made to analyze the noise exposure level
Table 1. Covariance analysis results of workers’ cognitive ability scores (x ± s).
Note: compared with control group, P < 0.05, **: P < 0.01; #: compared with low exposure group, P < 0.05, ##: P < 0.01.
Table 2. Multiple linear-regression analysis on total MoCA score among different noise exposure level.
of exposure group and the total score of MoCA, and we finally made the correlation analysis on CNE and total score of MoCA. The result showed that CNE and total score of MoCA had the relationship of negative correlation (r = −0.303, P < 0.05).
Long-time occupational noise exposure will do harm to the health  . There is a close relationship between the incidence of noise induced deafness and seniority  . Moreover, the effect of noise on human health is varied  .
This study was based on the statistical results of field investigation and detection. The causal relationship between occupational noise exposure and cognitive ability has not been established. The study period is from March 2013 to September 2105.
Smoking status, age and educational level may have an impact on cognitive abilities besides exposure level during the procedure of multiple linear-regression analysis. FRIED found that cognitive ability of the smoking population was significantly lower than that of the non-smoking population  . Cohort study results by RICHARDS showed that cognitive ability decrease of the study population was positively correlated with daily smoking  . This research showed that scores of workers’ cognitive ability decreased with the increase of smoking index, which was consistent with the previous studies. The results also showed that with the increase of age, the learning and memory ability of the workers gradually decreased; the higher the educational level, the higher the cognitive ability.
Occupational noise exposure can reduce the cognitive ability of grinders. What’s more, smoking, age and educational level will have an impact on the cognitive ability. In this study,
Due to production requirements, there will be operation at confined spaces in the process of subsection grinding. in summer. There might be combined effects of noise and high temperature. We will continue to explore the effect of the job category and the degree of harm on grinders.
This article was supported by National 11th Five-year Plan of Science and Technology Support Project (2006BAI06B02); Shandong Province Natural Science Fund Project (ZR2012HL08); Shandong Province Science and Technology Research Projects (2013GSF11828); Shandong Province Medical and Health Science and Technology Development Project (2014WS0337, 2015WS0171); Jinan Science and Technology Development Project (20130244, 201202045).
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