Noise pollution in psychological terms is defined as an unpleasant, undesirable or unwanted sound and in quantitative terms, it is a sound possessing all different wavelengths and intensities with no certain combination which is unpleasant to ear. The present study was conducted to compare the mental health status of people exposed to noise pollution with people in non-polluted areas of Sari. The sample population in the present descriptive study included 200 people selected by Random sampling method. Then, Sari was divided into four areas in terms of noise pollution, and after implementing GHQ-28 questionnaire (which reliability and validity have been confirmed), general health as well as mental health of samples were compared with each other. Data analysis was conducted based on occupation and residence location using variance analysis tests and t-Test for quantitative data and Square-test for qualitative data. Complaints about physical difficulties in traders’ group working in non-polluted environment are lower than traders’ group working in an environment exposed to noise pollution. These complaints among residents in non-polluted areas are at the lowest level. In overall review, the prevalence and average of mental health disorders amongst traders in areas exposed to noise pollution are higher than traders in non-polluted areas. Average complaints about physical difficulties, anxiety and sleeping problems, problems with social performance, depression and in general average mental and physical disorders are higher in resident and working groups in areas exposed to noise pollution, however, only complaints about physical difficulties are statistically significant.
Among the occupational pollutants, sound has the highest level of emission and is present in almost every industry [
Recent researches have indicated the progress and emission of noise pollution in most large cities of Iran. The issue requires careful and comprehensive planning. Researchers suggested that major studies have been conducted on noise pollution caused by traffic in Tehran and other major cities. However, due to very few studies on noise pollution caused by traffic in small cities and towns, its emission, high prevalence of psychological and physiological consequences of this problem, especially in Sari and high level of traffic in the city, we decided to conduct a study entitled “Comparison of Mental Health Status of People Exposed to Noise Pollution with Residents of Non-Polluted Areas of Sari” [
This was a descriptive study conducted to compare the mental health status of people exposed to noise pollution with people in non-polluted areas of Sari. The sample population in present study, with regard to similar studies, included 200 people selected by Random sampling method. This study was conducted based on the studies by Oveisi et al., Alizade (Eng.) et al. on noise pollution in Sari in 2007-2008. In this study, the traders residing in the area exposed to noise pollution were selected from Keshavarz Blvd. where noise pollution level was 18.84 dB and the citizens residing in the area exposed to noise pollution were selected from Helal Ahmar Sq. where noise pollution level was 75.85 dB while this measured amount was higher than open-air standard in Iran (65 dB), so it is regarded as an area with noise pollution. The residents and traders of non-polluted areas were selected from Kooy-e Shafa area based on remoteness from city center and lack of urban traffic.
So the people were divided into 4 groups of 50 persons, including:
1) Residents exposed to noise pollution,
2) Residents of non-polluted areas,
3) Traders whose working places are located in areas exposed to noise pollution,
4) Traders whose working places are located in non-polluted areas.
Personal letter of consent was orally taken from all people who were included in this research. Assessment tools in present study included questionnaire containing personal profiles and people’s mental health status which was conducted by GHQ-28 scale and used for screening the mental disorders. This questionnaire (which reliability and validity have been confirmed), has been developed by Goldberg in 1972 with the purpose of detecting mental disorders in different centers and environments. The questions examined the mental status of the person during the last month and included symptoms such as abnormal thoughts and feelings and observable aspects of behavior. The questions were selected with regard to four areas:
The first area of Hypochondriac physical disorders includes a wide range of seemingly organic questions. The second area is related to anxiety and psychological turmoil. The third area includes objectively observable behavior which involves the questions related to social dysfunction. The fourth area is related to depression. The questionnaire’s validity was measured based on two criteria of sensitivity and specialty. The results of studies showed that the average sensitivity and specialty of GHQ-28 questionnaire were respectively 84% and 82%.
This questionnaire was scored in four ways:
1) C-GHQ Scoring
2) Modified Likert Scoring
3) Likert Scoring
4) GHQ Scoring
In present study, scoring was conducted using Likert Scoring or 0- 1- 2- 3 methods. The cut-off point was defined equal to 28 for GHQ-28 questionnaire and 7 for its subgroups. The assessment of these questionnaires was completed directly by people while the illiterates were aided to answer the questions and the questionnaires were collected and examined by the appraiser. Data analysis was conducted based on occupation and residence location using variance analysis tests and t-Test for quantitative data and Square-test for qualitative data.
Non-Polluted | Exposed to Noise Pollution | Total | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Average | Standard Deviation | Frequency | % | Average | Standard Deviation | Frequency | % | Average | Standard Deviation | Frequency | % | |
4.76 | 3.890 | 20 | 21.3 | 6.02 | 4.102 | 32 | 38.6 | 5.35 | 4.030 | 52 | 29.4 | Complaints about Physical Difficulties |
5.84 | 4.451 | 28 | 29.8 | 6.72 | 4.031 | 31 | 37.3 | 6.25 | 4.270 | 59 | 33.3 | Anxiety and Sleeping Problems |
6.55 | 2.399 | 22 | 23.4 | 7.11 | 2.776 | 30 | 36.1 | 6.81 | 2.590 | 52 | 29.4 | Social Dysfunction |
2.88 | 4.174 | 12 | 12.8 | 3.48 | 3.412 | 10 | 12 | 3.16 | 3.821 | 22 | 12.4 | Depression |
20.03 | 12.359 | 17 | 18.1 | 23.34 | 10.748 | 27 | 32.5 | 21.58 | 11.716 | 44 | 9.24 | Total |
group. The prevalence of anxiety and sleeping problems was 29.8% in non-polluted group and 37.3% in group exposed to noise pollution. The average of this disorder was 5.84% in non-polluted group and 6.72% in group exposed to noise pollution. The prevalence of social dysfunction was 23.4% in non-polluted group and 36.1% in group exposed to noise pollution. The average of this disorder was 6.55% in non-polluted group and 7.11% in group exposed to noise pollution. The prevalence of depression was 12.8% in non-polluted group and 12.0% in group exposed to pollution. The average of this disorder was 2.88% in non-polluted group and 3.48% in group exposed to pollution (
Examination of
The results of
T | Degree of Freedom | Probability Level | Level of Test | |
---|---|---|---|---|
−1/187 | 175 | 0/061 | 0/05 | Physical and Mental Disorders |
2/111 | 175 | 0/036 | 0/05 | Complaints about Physical Difficulties |
−1/375 | 175 | 0/171 | 0/05 | Anxiety and Sleeping Problems |
−1/427 | 175 | 0/155 | 0/05 | Social Dysfunction |
−1/041 | 175 | 0/299 | 0/05 | Depression |
Total Squares | Degree of Freedom | Average Sum of Squares | F Statistic | Probability Value | Test Level | |||
---|---|---|---|---|---|---|---|---|
1386/323 | 3 | 462/108 | 3/511 | 0/017 | 0/05 | Inter-group | Physical and Mental Disorders | |
22,772/739 | 173 | 131/634 | Intra-group | |||||
24,159/062 | 176 | Total | ||||||
145/354 | 3 | 48/451 | 3/090 | 0/029 | 0/05 | Inter-group | Complaints about Physical Difficulties | |
2712/929 | 173 | 15/682 | Intra-group | |||||
2858/282 | 176 | Total | ||||||
58/493 | 3 | 19/498 | 1/070 | 363/0 | 05/0 | Inter-group | Anxiety and Sleeping problems | |
3151/066 | 173 | 18/214 | Intra-group | |||||
3209/559 | 176 | Total | ||||||
34/852 | 3 | 11/617 | 1/754 | 0/158 | 0/05 | Inter-group | Social Dysfunction | |
1145/996 | 173 | 6/624 | Intra-group | |||||
1180/847 | 176 | Total | ||||||
Depression | 192/533 | 3 | 64/178 | 4/669 | 0/004 | 0/05 | Inter-group | Depression |
2377/716 | 173 | 13/744 | Intra-group | |||||
2570/249 | 176 | Total |
between four groups under study using one-way analysis of variance (ANOVA) at 0.05 error level. In other words, there was significant difference between traders and residents in two geographical locations in terms of noise pollution in total scores of mental and physical disorders, complaints about physical difficulties and depression however these investigations showed no significant difference in scores of anxiety, sleeping disorders and problems in social performance.
Examination of the results of
In present study, the average of complaints about physical difficulties, anxiety and sleeping disorder, social dysfunction, depression and in general average physical and mental disorders in residence groups and working groups in areas exposed to noise pollution were at higher level but only complaints about physical difficulties were statistically significant. Complaints about physical difficulties in traders group working in non-polluted area were lower than traders working in area exposed to noise pollution and these complaints amongst residences in non-polluted areas were at the lowest level. Anxiety and sleeping
Group | Item | Healthy | Not Healthy | Chi-Square | Level of Freedom | Probability Value | ||
---|---|---|---|---|---|---|---|---|
F | % | F | % | |||||
Gender | Woman | 86 | 64/7 | 20 | 45/5 | 6/336 | 2 | 0/042 |
Man | 45 | 33/8 | 24 | 54/5 | ||||
No Answer | 2 | 1/5 | 0 | 0 | ||||
Total | 133 | 100/0 | 44 | 100/0 | ||||
Duration of Residence | Less than 5 years | 17 | 12/8 | 16 | 36/4 | 14/413 | 5 | 0/013 |
5 to 10 years | 32 | 24/1 | 8 | 18/2 | ||||
10 to 15 years | 22 | 16/5 | 2 | 4/5 | ||||
15 to 20 years | 16 | 12/0 | 4 | 9/1 | ||||
Over 20 years | 23 | 17/3 | 6 | 13/6 | ||||
No Answer | 23 | 17/3 | 8 | 18/2 | ||||
Total | 133 | 100/0 | 44 | 100/0 | ||||
Psychotropic Medication | yes | 8 | 6/0 | 8 | 18/2 | 6/494 | 2 | 0/039 |
No | 123 | 92/5 | 36 | 81/8 | ||||
No Answer | 2 | 1/5 | 0 | 0 | ||||
Total | 133 | 100/0 | 44 | 100/0 | ||||
Time Spent in Noise pollution | Half day | 78 | 58/6 | 25 | 56/8 | 9/441 | 3 | 0/024 |
Whole day | 49 | 36/8 | 12 | 27/3 | ||||
Only Nights | 0 | 0 | 2 | 4/5 | ||||
Total Day and Night | 6 | 4/5 | 5 | 11/4 | ||||
Total | 133 | 100/0 | 44 | 100/0 |
problems amongst traders and people who are in areas exposed to noise pollution are higher than residents and people working in non-polluted area. Social dysfunction amongst traders and people in areas exposed to noise pollution is higher than residents and people working in non-polluted areas. Prevalence of depression amongst traders in non-polluted areas was higher than traders exposed to noise pollution and prevalence of depression amongst residents in areas exposed to pollution was at higher level. In our study in Sari, average physical and mental disorders including residents and traders in both non-polluted and exposed to pollution areas at 0.1 error level (P = 0.061 < 0.1) are different. Average complaints about physical difficulties amongst citizens in different areas are different (P = 0.029 < 0.05). In the study by Oveisi et al., there was no significant difference at 0.05 error level in terms of complaints about physical difficulties between different groups.
The survey conducted in Varanasi, India showed that volume has reached alarming level and 85% of people are annoyed by traffic noises. About 90% of people mentioned the voice as the main cause of headache, high blood pressure, dizziness and fatigue. People who have higher level of education and income are more aware of the effects of noise on health [
A study conducted in Oslo, Norway based on responses of 1842 people indicated that only sensitivity to sound is associated with high blood pressure and chest pain and there is no relation between exposure to noise and health complaints. It seems that the relation between sound and health in these studies (based on the reports by people exposed to pollution and not diagnosed by doctor) is incorrect [
In this study, average depression including residents and traders in both non-polluted areas and areas exposed to pollution had no difference (P = 0.299 > 0.05). Average depression differs between citizens in different areas (P = 0.004 < 0.05). In the study by Oveisi et al., there was significant difference between different groups at 0.05 error level in terms of general health status of depression and total score. In present study, average social dysfunction amongst residences and traders in both non-polluted areas and exposed to pollution areas had no differences (P = 0.155 > 0.05). Average social dysfunction amongst citizens in different areas had no difference (P = 0.158 > 0.05). In the study by Oveisi et al., there was no significant difference at 0.05 error level in terms of social dysfunction between different groups. In present study, average anxiety and sleeping problems among citizens in different areas had no difference (P = 0.363 > 0.05). In the study by Oveisi et al., there was no significant difference at 0.05 error level in terms of anxiety and sleeping problems.
[
The study conducted by Khodabakhsh Karami on residents near Mehrabad airport showed that not only the plane sound makes disturbance in personal speaking and conversation but also has negative effect on listening to the radio and even receiving TV picture and create problems in people’s sleeping and rest.
Another study by Dzhambov et al., in Bulgaria showed that severe sleep disorders caused by noise pollution has imposed large financial burden on related systems [
The results of a study carried out in Sweden indicates the significant relation between street traffic noise and sleeping parameters including sleeping quality, waking, habit of closing window at night which affect the quality of sleeping and daytime sleepiness [
In our study conducted in Sari, there was significant difference in terms of duration of residence in residents and traders groups in both non-polluted area and area exposed to pollution at 0.1 error level (P = 0.061 < 0.1) with general and mental health. There was significant difference in terms of neurologic drugs in residents and traders groups in both non-polluted area and the area exposed to pollution at 0.1 (P = 0.061 < 0.1) with general and mental health however it was not investigated in other studies. In present study, there was significant difference in terms of time spent in noise pollution in both areas at 0.11 error level (P = 0.061 < 0.1) with general and mental health however it was not investigated in other studies.
Although numerically in the group exposed to noise pollution, higher average disorder was observed in most of the disorders compared to non-polluted areas and only few of them were significant, it could be said the people usage to noise means that although people exposed to noise tolerated more difficulties in their daily lives, however, physiological reaction of body led to emergence of equilibrium in the health status of these people compared to those exposed to less noise.
In public opinion, people exposed to noise will be adapted to noise, however, adaption to pollution does not mean protection against the kind of pollution, it is proportional gradual immune depletion to the amount of pollution. The impact of long-term side effects will remain and in such a case the person will be defenseless and powerless against unpleasant and unwanted environmental factors.
Since the present study was a new research and few studies are available with similar subject and even if there was a similar study, it had different variables compared to studies conducted so far, so it was impossible to review and compare the variables in present study with other studies, it was essential to evaluate the traffic voice and traffic load in this project so that we could compare its results with several studies which used the same variables.
It seems necessary to implement more comprehensive studies on the above field and use variables such as traffic noise index that is used in almost all similar studies so that we could carry out a more comprehensive study.
I appreciate the cooperation of my colleagues in research field and vice chancellor of Research and Technology to approve this plan and supply its expenses.
Masoudzadeh, A., Hadinezhad, P. and Gooran, M. (2017) Comparison of Mental Health Status of People Exposed to Noise Pollution with People in Non-Polluted Areas of Sari. Health, 9, 839-848. https://doi.org/10.4236/health.2017.95059