Dersleri yüzünden oldukça stresli bir ruh haline sikiş hikayeleri bürünüp özel matematik dersinden önce rahatlayabilmek için amatör pornolar kendisini yatak odasına kapatan genç adam telefonundan porno resimleri açtığı porno filmini keyifle seyir ederek yatağını mobil porno okşar ruh dinlendirici olduğunu iddia ettikleri özel sex resim bir masaj salonunda çalışan genç masör hem sağlık hem de huzur sikiş için gelip masaj yaptıracak olan kadını gördüğünde porn nutku tutulur tüm gün boyu seksi lezbiyenleri sikiş dikizleyerek onları en savunmasız anlarında fotoğraflayan azılı erkek lavaboya geçerek fotoğraflara bakıp koca yarağını keyifle okşamaya başlar

GET THE APP

Risk Assessment of Low-back Trouble among Male Tannery Workers: A Study of Kanpur City, India
ISSN: 2329-6879
Occupational Medicine & Health Affairs
Make the best use of Scientific Research and information from our 700+ peer reviewed, Open Access Journals that operates with the help of 50,000+ Editorial Board Members and esteemed reviewers and 1000+ Scientific associations in Medical, Clinical, Pharmaceutical, Engineering, Technology and Management Fields.
Meet Inspiring Speakers and Experts at our 3000+ Global Conferenceseries Events with over 600+ Conferences, 1200+ Symposiums and 1200+ Workshops on Medical, Pharma, Engineering, Science, Technology and Business
  • Research Article   
  • Occup Med Health Aff 2016, Vol 4(6): 254
  • DOI: 10.4172/2329-6879.1000254

Risk Assessment of Low-back Trouble among Male Tannery Workers: A Study of Kanpur City, India

Gyan Chandra Kashyap*, Shri Kant Singh and Praveen Chokhandre
International Institute for Population Sciences, Govandi Station Road Donor Mumbai, Maharashtra, India
*Corresponding Author: Gyan Chandra Kashyap, International Institute for Population Sciences, Govandi Station Road Donor Mumbai, 400088, India, Tel: +91-9967162925, Email: statskashyap@gmail.com

Received: 23-Nov-2016 / Accepted Date: 14-Dec-2016 / Published Date: 21-Dec-2016 DOI: 10.4172/2329-6879.1000254

Abstract

Background: Low Back Trouble (LBT) is very common among tannery workers, it occurs due to the bend posture of low back during the material transfer.
Aim: This paper analyzes the prevalence of the self-reported LBT, its intensity and the potential risk factors among male tannery workers in Kanpur, India.
Methods: Data for the study were obtained from a cross-sectional household survey conducted during the period January-June, 2015. The study was conducted in the Jajmau area of Kanpur and interviewed 284 tannery workers selected using scientifically developed study design using probability sampling approach. Univariate and bivariate analyses were used to assess the prevalence and intensity of LBT. Logistic regression analysis was used to identify the potential risk factors for contracting LBT.
Results: Tannery workers aged 35 years and above had higher prevalence of LBT (57%). A significant association was observed between long working 11-12 h and the prevalence was (68%) of LBT. Among the workers aged 35+years, about a sixth (16%) reported daily recurrence of pain, and about a fifth (19%) experienced pain more than 10 times in the last 12 months. Tannery workers who were injured at work in the last 12 months was 2.09 and 2.42 times more likely to get LBT in Model-II and III. The adjusted effect of LBT was 1.8 times higher among tannery workers had severe mental health disorders.
Conclusions: The results reveal statistically significant association of LBT with age of tannery workers, educational attainments, type of job contract, type of work, daily working hours, manual loading and unloading, workplace injury in last 12 months and mental health disorders.

Keywords: Injury; Low back trouble; Mental health; Musculoskeletal disorder; Tannery workers

Introduction

Several studies have documented the epidemiology of LBT among workers engaged in various occupations worldwide. A study of the global burden of non-traumatic low back pain (LBP) reported that 37 percent of LBP was attributable to occupation. Work-related LBP was estimated to cause 818,000 disability-adjusted life years lost annually [1]. There is limited information available about the intensity of LBT or when the problem becomes chronic; nor is there a precise definition of a chronic condition. Many studies have attested to the high prevalence and incidence rates of lower back trouble in the general population as well as among working people. To understand the epidemiology of LBT, it is important to establish the linkages between chronic LBT and occupational stressors (physical and psychosocial) or the working environment at the workplace. Tanneries have attained considerable notoriety for the polluting nature of their work and the critical occupational health risks they pose such as musculoskeletal disorders, injuries, etc. Male tannery workers are usually involved in loading and unloading of raw hides, material handling, and movement, etc. There is a high risk of developing musculoskeletal disorder and injuries in such working conditions. The poor and unsafe working conditions act as stressors and increase the susceptibility of the workers to various ailments. Low back trouble is one of the commonly experienced health risk factors among tannery workers. The cause of the low back trouble is working posture, loading, and unloading of raw hides (frequent bending to lift the heavy objects) in tannery premises. The prevalence of low back trouble varies from 14 percent to 61 percent worldwide. Subjective evidence suggests that the working environment plays a significant role in the health of employees in almost all occupations throughout the world. A majority (ranging from 50 to 87%) of the workers involved in strenuous work reported MSD symptoms [2-7]. A large number of studies also reported the associations between occupational stressors or working environment and musculoskeletal symptoms. The most significant physical risk factor associated with musculoskeletal discomfort was bending the trunk forward slightly, repetitive work involving bent positions, the manual manipulation of heavy goods, hands above knee level, prolonged working hours, and job duration [8-15]. A comprehensive review of over 600 epidemiological studies concluded that there was evidence of a causal relationship between workplace exposures and environments and lowback injuries and disorders [16]. In continuation of that, several studies also have established an association between psychosocial work factors, job stress, and musculoskeletal disorders. It is also evident from previous research that tedious work, high perceived workload, and time pressures are related to symptoms of musculoskeletal disorders [17-20]. Earlier studies have examined the association of prevalence of LBT with work-related characteristics of workers involved in the different occupation. While, the present study has estimated the intensity of LBT with its prevalence. More specifically, this study has tried to assess the association of LBT with the injuries and mental health, along with the socio-demographic and workrelated variables. Concerns have also been raised about the possibility of high prevalence and intensity of LBT among male tannery workers. It is against this backdrop; this paper aims to analyze the prevalence of the self-reported LBT, its intensity and the potential risk factors among male tannery workers.

Materials and Methods

Study design and participants

Data for the present study were obtained from a cross-sectional household survey of tannery workers, conducted during the period January - June 2015. The study was part of a Ph.D. program and was conducted in the Jajmau area of Kanpur city in the state of Uttar Pradesh, India. Due to a large number of tanneries and production of superior leather products, Kanpur is also known as the ‘Leather City of the World’.

The sample population included only those male workers who were at least 18 years old and had worked in tanneries for at least one year. Initially, 300 households of tannery workers in Jajmau were selected for the study out of which 284 tannery workers were interviewed with a response rate of 95%.

Sampling design

There were stages in the sample selection process. In the first stage, seven areas in Jajmau have selected in which most tannery workers lived. In the second stage, three areas were chosen according to probability proportion to size (PPS). In the third and final stage households with at least one tannery worker were listed. In households with more than one person working in a tannery, the respondent was selected with the help of a KISH table. From each of the three selected areas - Budhiyaghat, Tadbagiya, and Ashrafabad - 100 samples were chosen through systematic random sampling method.

Worker’s classification

The tanning process begins with storage and marking of raw hides. Tanning and finishing are done in four main stages. Tannery workers are classified according to the stage of the tanning process they are involved. Thus, they would be engaged in beam housework, wet finishing work, dry finishing work and miscellaneous work [21]. In the beam house, the raw hides are set to dry by either stretching them on bamboo frames or pegs or spreading the hides on the ground in mild sunlight. Beam house workers are in frequent contact with water and chemicals during preparatory operations such as soaking, liming, fleshing, deliming, bating, and picking. The wet finishing process includes splitting, shaving, waxing, and oiling. The operations are mostly performed while standing at machines. Workers in the dry finishing stage are involved in operations such as drying, shaving, buffing, pressing, staking, padding, and spraping. There also groups of workers performing miscellaneous activities such as packers, sweepers, carriers, and mixers of chemicals. Carriers carry wet hides, and chemicals are usually mixed with bare hands. Moreover, this all type of work having a similar workload.

Study tools

A structured interview schedule was designed, which was based on extensive field visits that were undertaken before data collection. The schedule was translated into the local language and pre-tested before actual collection of data. Face to face interviews were conducted with the help of a structured, pre-tested questionnaire. The study also used several questions from National Institute for Occupational Safety and Health (NIOSH) and the Standardized Nordic Questionnaire which is designed to capture MSDs [22].

Variables used

Frequency of occurrence of LBT in last 12 months and intensity (in terms of LBT up to 10 times, more than 10 times but not every day and almost every day) in the last 12 months were considered as dependent variables for the study. Demographic and occupational variables such as age, years of working in the present occupation, job type (daily wage, monthly salaried workers), type of work engaged in (beam housework, wet finishing work, dry finishing work, miscellaneous work), average daily working, loading and unloading of raw hides manually or by trolley, injuries in the last 12 months and mental health status were considered as independent variables for the study.

General health questionnaire (GHQ-12) was used to assess the mental health status of male leather tannery workers [23]. The General Health Questionnaire consists of 12 items, each item an indicator of mental health problem over the few weeks preceding the study. This study used the four-point Likert scale (1-less than usual, 2-no more than usual, 3-rather more than usual, 4-much more than usual). After that, we have made dichotomous each of the response of all the items of GHQ-12. GHQ – 12 is a dimensional indicator of common mental disorders from which a summed score is produced. High scores indicate severe mental health. Based on the score, researchers can categorize mental as normal, moderate and severe by using the principal component analysis (PCA).

Statistical methods

The results were summarized in descriptive statistics. Univariate and bivariate analyses were used to estimate the prevalence and intensity of LBT by a few selected socio-economic and occupation related characteristics, and to describe these with a 95 percent confidence interval. χ2 Test was conducted to test the association between occupation related variables and LBT. Logistic regression analysis has been used to assess the associations between musculoskeletal disorders and the risk factors. Effect are measured by odds ratio (OR) estimated from logistic regressions underlying each of the three Models. The response variable is introduced by adding them to the set of predictor variables. Model-1 deals with the socioeconomic and occupational characteristics including (age, education, job contract, type of work, daily working hours, loading or unloading methods of raw hides – manually or by trolley). Model-II included a variable (were you injured at work in the last 12 months?) additional to socio-economic and occupational characteristics. Model-III comprised the variable of mental health disorder with the socio-economic and occupational characteristics and injury at work the last 12 months preceding the survey. The analysis was performed with STATA-13 statistical analysis package [24].

Ethical Consideration

Ethical clearance was obtained from the Student Research Ethics Committee of International Institute for Population Sciences Mumbai, India. Formal written consent was obtained from all participants. Confidentiality of data was assured with the help of a coding system to conceal the identity of the respondents.

Results

Table 1 shows the descriptive findings of the study. The mean age of the tannery workers (as mentioned earlier, all respondents were male) was 38 years (SD=1.42). About 66 percent of the workers were illiterate, and only 12 percent had a high school education or higher. Average tannery experience was 18 years. The majority of tannery workers (89 %) were employed on daily wages with a mean duration of 10 years at their job (SD=0.92). The respondents were employed in various processes in the tanneries. Among them, 8 percent were engaged in beam house work, 24 percent in wet finishing, 50 percent in dry finishing and 17 percent in miscellaneous kind of work. According to the responds, they worked almost every day of the week. On average they worked 6.5 days a week and 9.5 hours (SD=0.19) a day.

Variables Tannery workers
(N) (%)
Age in years (Mean ± SD) 284 38.5 ± 1.4
Education
Illiterate 188 66.3
Up to primary 38 13.3
Middle school 25 8.8
High school & above 33 11.6
Work experience in current tannery (Mean ± SD) 284 10.1 ± 0.9
Job contract
Temporary job (daily wages) 253 89.1
Monthly wage salaried 31 10.9
Type of work
Beam house work 24 8.4
Wet finishing work 69 24.2
Dry finishing work 143 50.5
Miscellaneous work 48 16.8
Average working hours in day (Mean ± SD) 284 9.5 ± 0.2
Average working days in a week (Mean ± SD) 284 6.5 ± 0.6
Religion
Hindu 96 33.8
Muslim 188 66.2
Caste
Schedule caste/Schedule tribes 185 65.4
Other backward class 53 18.5
None of them 16 5.6
Don’t know 30 10.5
Total 284 100

Table 1: Socio-economic and occupational characteristics.

About two-thirds of the workers were Muslim (66%) and the remaining Hindus. The majority of the tannery workers (65%) belonged to the SC/ST group. Only 6 percent came from the general castes.

Table 2 presents the prevalence of LBT in the past 12 months according to occupational characteristics. The overall prevalence of LBT was 51 percent among the male tannery workers. The prevalence of low-back pain was significantly higher among workers aged 35 years and above (52%).

Independent variables N (%) χ2
Age in years
<35 108 20.7 7.42, p<0.006
35 & above 176 51.5
Education
Illiterate 188 56.7 10.536, p<0.015
Up to primary 38 44.7
Middle school 25 48
High school & above 33 27.3
Type of work
Beam house work 24 37.5 2.82, p<0.419
Wet finishing work 70 55.7
Dry finishing work 143 49.7
Miscellaneous work 47 55.3
Job contract
Temporary job (daily wages) 253 53 3.37, p<0.066
Monthly wage salaried 31 35.5
Working hours in day
Upto 8 hours 135 42.2 13.21, p<0.001
9 to 10 hours 71 49.3
11 to 12 hours 78 68
Loading or unloading of raw hides manually
Yes 225 56 10.59, p<0.001
No 59 32.2
Loading or unloading of raw hides by trolley
Yes 24 45.8 0.28, p<0.593
No 260 51.5
Overall 284 51.1  

Table 2: Prevalence of LBT among male tannery workers of Kanpur City.

Illiterate tannery workers reported significantly higher prevalence (57%) of LBT. It was the least (27%) among those who had studied high school and above. Further, the prevalence varied by the type of work. For instance, the prevalence of LBP was higher for workers engaged in wet finishing work (56%), miscellaneous work (55%), dry finishing work (50%) and beam house work (37%). Higher prevalence of LBT was observed among daily wage (non-permanent) employees (53%) than the salaried workers (35%). The result also shows the association of LBT and working hours. Workers who regularly put in 11-12 hours a day had a higher prevalence of LBT (68 %). Those involved in manual loading and unloading of raw hides also reported a higher prevalence of the LBT (67%).

The intensity of LBT experienced by the male tannery workers is presented in Table 3. Overall, 68 percent of workers reported LBT for at least 10 times during the past one year and around a sixth (17%) of the workers said LBT more than 10 times. Fifteen percent of the workers reported the daily occurrence of low back trouble those who worked Upto 10 years were considered to be chronically suffering from LBT. About a sixth (16 %) of the tannery workers aged 35 years and above reported chronic LBT. Those in the age group of 25 to 35 years with this conduction were slightly less (15%) in proportion. Percentage of workers suffering from chronic LBT varied from 16 to 18% depending on the level of education. Tannery workers engaged in miscellaneous work experienced the highest percentage of chronic LBT (31%) in comparison with wet finishing (15%) and dry finishing workers (11%). About 16% of tannery workers who are usually engaged in manual loading or unloading of the reported chronic LBT. Those working longer hours also had a higher percentage of chronic back trouble, which ranged from 15-18% in the three categories. A significant proportion of tannery workers on different job contracts also experienced chronic LBT.

Independent variables Number (N) Upto 10 times More than 10 times but not every day Almost every day
Age in years
<35 44 72.7 13.6 13.6
35 & above 101 65.4 18.8 15.8
Work experience in current tannery
Upto 10 years 84 64.29 20.24 15.48
11-20 years 44 77.27 13.64 9.09
21 and above years 17 58.82 11.76 29.41
Education
Illiterate 106 68.9 15.1 16
Up to primary 17 76.5 5.9 17.7
Middle school 12 58.3 25 16.7
High school & above 10 55.6 44.4 0
Type of work
Beam house work 9 66.7 33.3 0
Wet finishing work 39 76.9 7.7 15.4
Dry finishing work 71 66.2 22.5 11.3
Miscellaneous work 26 57.7 11.5 30.8
Job contract
Temporary job (daily wages) 134 67.2 17.9 14.9
Permanent job 11 72.7 9.1 18.2
Working hours in day        
Upto 8 hours 57 68.4 14 17.5
9 to 10 hours 35 68.6 20 11.4
11 to 12 hours 53 66 18.9 15.1
Loading or unloading of raw hides manually
Yes 126 66.7 17.5 15.9
No 19 73.7 15.8 10.5
Loading or unloading of raw hides by trolley
Yes 11 63.6 27.3 9.1
No 134 67.9 16.4 15.7
Overall 145 67.6 17.2 15.2

Table 3: Intensity of low back trouble among male tannery workers of Kanpur city, 2015.

Table 4 shows the adjusted effect of injury and mental health disorder on the prevalence of LBT experienced by the tannery workers in the 12 months preceding the survey. The results show that LBT is clearly associated with increasing age of the workers. For example, odds ratio of LBT is higher among workers aged 35+years [OR=1.97**; CI: 1.15-3.36] times more likely in Model-I, [OR=2.03**; CI: 1.18-3.49] times more likely in Model-II and [OR=1.82**; CI: 1.05-3.18] times in Model-III compared to those aged below 35 years.

  Model I Model II Model III
Independent variables O.R. C.I. O.R. C.I. O.R. C.I.
Age in years
<35®            
35 & above 1.97** [1.15-3.36] 2.03** [1.18-3.49] 1.82** [1.05-3.18]
Education
Illiterate®            
Up to primary 1.02 [0.47-2.24] 0.93 [0.42-2.06] 1 [0.44-2.25]
Middle school 1.32 [0.53-3.30] 1.25 [0.49-3.16] 1.44 [0.56-3.69]
High school & above 0.44* [0.18-1.08] 0.42* [0.17-1.05] 0.53* [0.21-1.36]
Job contract
Monthly wage salaried®          
Temporary job (daily wages) 1.95* [0.82-4.62] 2.21** [0.91-5.38] 1.86* [0.74-4.65]
Type of work
Beam house work®            
Wet finishing work 2.85** [1.02-7.90] 3.00* [1.07-8.40] 2.81* [0.99-7.94]
Dry finishing work 3.85** [1.29-9.37] 3.77*** [1.39-10.26] 3.87*** [1.41-10.64]
Miscellaneous work 3.27** [1.10-9.76] 3.32** [1.10-9.96] 3.34** [1.10-10.19]
Working hours in day
Upto 8 hours®            
9 to 10 hours 1.26 [0.67-2.34] 1.30** [0.69-2.43] 0.97 [0.48-1.92]
11 to 12 hours 2.85*** [1.46-5.59] 2.93*** [1.49-5.77] 2.05** [0.92-4.56]
Loading or unloading of raw hides manually
No®            
Yes 2.1* [1.03-4.27] 1.99* [0.97-4.07] 2.18** [1.04-4.55]
Loading or unloading of raw hides by trolley
No®            
Yes 0.93 [0.35-2.45] 0.89* [0.33-2.37] 1.23 [0.45-3.35]
In the last 12 months have you been injured during work
No®            
Yes     2.09** [0.87-5.01] 2.42** [1.00-5.82]
GHQ-12 (Mental Score)
Normal®            
Moderate         0.50** [0.26-0.97]
Severe         1.80* [0.82-3.96]
Note: ® Reference category, ***P<0.01, **P<0.05, *P<0.1.

Table 4: Odds ratio showing risk factors for low-back trouble among tannery workers (in the past 12 months).

Tannery workers who worked on a temporary (daily wages) contract are more likely to experience lower back trouble in each of the three Models. Odds ratio [OR=2.21**; CI: 0.91-5.38] of lower back trouble was the highest in Model-II. In this study, the tannery workers were engaged in various kinds of strenuous physical activities that are related to LBT. Adjusted effect of LBT is most likely among workers who engaged in Model-III for dry finishing work [OR=3.87***; CI: 1.41-10.64], Model-II for wet finishing [OR=3.00*; CI: 1.07-8.40] and Model-III for miscellaneous work [OR=3.34**; CI: 1.10-10.19] in comparison with beam house workers. The results confirm that prolonged working hours has a strong association with lower back trouble. Male tannery workers who usually work for 11-12 hours a day had higher odds of lower back trouble [OR=2.85***; CI: 1.46-5.59], [OR=2.93***; CI: 1.49-5.77] and [OR=2.05**; CI: 0.92-4.56] times in Model-I, Model-II and Model-III respectively. Strenuous physical work like manually loading and unloading of raw hides has higher odds of LBT, which is [OR=2.1*; CI: 1.03-4.27], [OR=1.99*; CI: 0.97-4.07] and [OR=2.18**; CI: 1.04-4.55] times more likely in Model-I, Model-II, and Model-III respectively. Tannery workers who were injured at work in the last 12 months are more likely get LBT, which is [OR=2.09**; 95% CI: 0.87-5.01] and [OR=2.42**; 1.00-5.82] times more in Model-II and III. The result also shows the significant association between mental health disorder and LBT. The adjusted effect of LBT is higher among tannery workers with severe mental health disorders, [OR=1.80*; CI: 0.82-3.96] times in Model-III in comparison with those in normal mental health. An overview of the result of logistic regression shows strong association between LBT and predictor variables like age of the tannery workers, educational attainments, type of job contract, type of work, duration of working day, manual loading and unloading of raw hides, workplace injury in the last 12 months and mental health disorder, all of which have statistically significant effects on the odds of LBT.

Discussion



The aim of this study was to assess the prevalence of LBT among tannery workers in Kanpur, and its intensity. The study was limited to the LBT among the respondent population. Overall, the prevalence of LBT was 51 percent. However, a past study of Kanpur’s tannery workers of Kanpur reported a higher prevalence of low back pain (61%) [21]. This reduction in the prevalence of LBT can be explained by increased mechanization of tanning processes that may have resulted in reduced manual work and altered postures. Education has a strong association with LBT. It was the least among workers with high school and above in comparison with tannery workers who had no education [10].

The study shows linkages between the age of tannery workers and the LBT the prevalence of which increased with age. A cross-sectional study of musculoskeletal complaints in past week and year had a significant association with job duration and age in these workers [12]. It is also evident that the average age (38 years) of the tannery workers and their length of their experience (18 years) in the industry as well as their working hours (9.54 h a day) and the number of days (6.5) they worked in a week. Results show the association of LBT and working hours. Sixty-eight percent of the tannery workers who regularly worked 11-12 hours a day reported LBT. A comprehensive review of past studies shows the linkage between workers’ age and working hours [8-10,12,25-31]. The present study illustrates the prevalence of LBTs according to the different works in the tanneries. More than half of the of the tannery workers (56%) who are usually engaged in wet finishing work, 55 percent of those in miscellaneous work, and 50 percent in dry finishing work 37 % in beam housework reported LBT in the last 12 months. Since a limited number of occupation-based studies are conducted, it would be difficult to compare the findings with previous studies, especially for tanneries.

More than half the tannery workers (53%) who worked on daily wages basis had a higher prevalence of lower back trouble than the permanent workers. Around two-thirds of tannery workers (67%) who involved in manual and unloading work reported LBT. It was also seen that temporary workers were engaged for doing work that was more strenuous and hazardous. The present study also tried to analyze the intensity of LBT among the tannery workers. Chronic sufferers are those that have an ‘almost daily’ occurrence of lower back trouble. It was about 16 percent among workers aged 35 years and above. Chronic lower back trouble was the highest (31%) among carriers. Carriers carry wet hides, mix chemicals and perform other hazardous work. Chronic lower back trouble was also significant among the workers engaged in miscellaneous work like packing, cleaning, carrying and mixing chemicals. The workers engaged in loading or unloading of the raw hides manually (16%) reported the chronic LBT.

Long working hours have a clear association with chronic LBT which ranges 15 to18 percent in the three categories. The effect of LBT was measured by odds ratio (OR) estimated from logistic regressions underlying each of the three Models. The odds ratio of LBT is higher among the workers aged 35+years in each of the three Models. Analyses show significant association of age of the tannery workers with LBT in the 12 months immediately preceding the survey. As mentioned, tannery workers on temporary job contracts were more likely to experience LBT. This was established in all the three Models. The study also found statistically significant associations with type of work. The odds of LBT is higher among workers who manually load and unload raw hides. This involved bending of the low back, which may be a possible cause of LBT as documented in some studies [14-15,32-34]. Tannery workers who were injured at their workplaces in the last 12 months during work are more likely get LBT [1,16,35].

Studies have established a strong association of stress and LBT [17-20,36]. The adjusted effect of LBT is higher for tannery workers having severe mental health disorder in comparison with those in normal mental health. Occupational health is an issue of critical concern in most developing countries like India. A huge proportion of the world’s workforce is to be found in the developing countries. At the same time, there is insufficient research into occupational health hazards in a range of occupations. However, with growing industrialization and socio-economic progress, occupational health concerns are gradually gaining importance in developing countries. This study of LBT among tannery workers reflects that concern. Chronic low back pain is prevalent in a range of occupations worldwide. It is associated with injuries, mental stress, has a substantial cost by way of loss of productivity and loss of quality of life. Based on existing literature, which attests the associations between work and musculoskeletal symptoms have been broadly conveyed. This study has found the predictor variables which have the significant association with LBT among male tannery workers. The age of the tannery workers, type of job contracts, nature of work, hours worked daily, manual loading and unloading of raw hides, workplace injury in the last 12 months, and mental health have statistically significant effects on the odds of LBT.

Conclusion

This cross-sectional study concludes that LBT is prevalent with its high intensity among tannery workers. The results reveal the statistically significant association of lower back trouble with the age of tannery workers, educational attainments, type of job contract, type of work, daily working hours, manual loading and unloading, workplace injury in last 12 months and mental health disorders. LBT is very common among tannery workers, and it occurs due to the frequent bend posture of low back during the material transfer. The study praises mechanization of tannery activities at workplaces so that episodes of LBT can be minimized among tannery workers.

Acknowledgement

The authors are thankful to all the participants in the survey.

References

  1. Punnett L, Prüss-Utün A, Nelson DI, Fingerhut MA, Leigh J, et al. (2005). Estimating the global burden of low back pain attributable to combined occupational exposures. Am J Ind Med 48: 459-469.
  2. Gbiri CA, Osho AO, Olumiji A (2012) Prevalence, Pattern and Impact of Work-related Musculoskeletal Disorders on Functional Performance of Welders in a Nigeria Rural-Urban Centre. JOHE, summer 2014: 1.
  3. Nasaruddin AFA, Tamrin SBM, Karuppiah K (2014) The Prevalence of Musculoskeletal Disorder and the Association with Risk Factors among Auto Repair Mechanics in Klang Valley, Malaysia. Iran J Public Healt 43: 34-41.
  4. Bodhare T, Valsangkar S, Bele S (2011) An epidemiological study of work-related musculoskeletal disorders among construction workers in Karimnagar, Andhra Pradesh. Indian J Community Med 36: 304-307.
  5. Choobineh A, Tabatabaei SH, Mokhtarzadeh A, Salehi M (2007) Musculoskeletal problems among workers of an Iranian rubber factory. J Occup Health 49: 418-423.
  6. Hussain T (2004) Musculoskeletal symptoms among truck assembly workers. Occup Med (Lond) 54: 506-512.
  7. Joshi TK,Menon KK,Kishore J (2001) Musculoskeletal Discorders in Industrial Workers of Delhi. Int J Occup Environ Health 7: 217-221.
  8. Mirta W, Siti ZMD, Nukman Y (2016) The Relation of Risk Factors and Musculoskeletal Discomfort among Manual Material Handling Workers in Malaysian automotive Industries. Malaysian Journal of Public Health Medicine 16: 124-133.
  9. Baqar M, Arslan M, Jamil N, Zahid H (2015) Prevalence of Work-Related Musculoskeletal Symptoms (WMSS) among the Motorcycle Mechanics of Lahore, Pakistan. Iran J Public Health 44: 1708-1709.
  10. Ekpenyong CE, Inyang UC (2014) Associations between worker characteristics, workplace factors, and work-related musculoskeletal disorders: a cross-sectional study of male construction workers in Nigeria. Int J Occup Saf Ergon 20: 447-462.
  11. Inbaraj LR, Haebar OJ, Saj F, Dawson S, Paul P, et al. (2013) Prevalence of musculoskeletal disorders among brick kiln workers in rural Southern India. Indian J Occup Environ Med 17: 71-75.
  12. Aghilinejad M, Javad Mousavi SA, Nouri MK, Ahmadi AB (2012) Work-related musculoskeletal complaints among workers of Iranian aluminum industries. Arch Environ Occup Health 67: 98-102.
  13. Latza U, Pfahlberg A, Gefeller O (2002) Impact of repetitive manual materials handling and psychosocial work factors on the future prevalence of chronic low-back pain among construction workers. Scand J Work Environ Health28: 314-323.
  14. Ory FG, Rahman FU, Katagade V, Shukla A, Burdorf A (1997) Respiratory disorders, skin complaints, and low-back trouble among tannery workers in Kanpur, India. Am Ind Hyg Assoc J 58: 740-746.
  15. Walsh K, Varnes N, Osmond C, Styles R, Coggon D (1989) Occupational causes of low-back pain. Scand J Work Environ Health 15: 54-59.
  16. Keyserling WM (2000) Workplace risk factors and occupational musculoskeletal disorders, Part 2: A review of biomechanical and psychophysical research on risk factors associated with upper extremity disorders. AIHAJ 61: 231-243.
  17. Devereux JJ, Buckle PW, Vlachonikolis IG (1999) Interactions between physical and psychosocial risk factors at work increase the risk of back disorders: an epidemiological approach. Occup Environ Med 56: 343-353.
  18. Yu S, Nakata A, Gu G, Swanson NG, He L, et al. (2013) Job Strain, Effort-reward Imbalance and Neck, Shoulder and Wrist Symptoms among Chinese Workers. Ind Health 51: 180-192.
  19. Mathew L (2014) Influence of Job Stress on Musculoskeletal Disorders among Employees in Construction Industries in Kerala. International Journal of Engineering Trends and Technology (IJETT) 17: 361-368.
  20. Bongers PM, de Winter CR, Kompier MA, Hildebrandt VH (1993) Psychosocial factors at work and musculoskeletal disease. Scand J Work Environ Health 19: 297-312.
  21. Ory FG, Rahman FU, Katagade V, Shukla A, Burdorf A (1997) Assessment of exposure to chemical agents and ergonomic stressors in tanneries in Kanpur, India. Am Ind Hyg Assoc J 58: 732-739.
  22. Kuorinka I, Jonsson B, Kilbom A, Vinterberg H, Biering-Sørensen F, et al. (1987) Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms. Appl Ergon 18: 233-237.
  23. Goldberg D, Williams P (1991) A User’s Guide to the General Health Questionnaire. Windsor: NFER-Nelson. pp: 1-129.
  24. Stata Corp. Stata Statistical Software: Release 13. (2013). College Station, TX: Stata Corp LP.
  25. Singh S, Chokhandre P (2015) Assessing the impact of waste picking on musculoskeletal disorders among waste pickers in Mumbai, India: a cross-sectional study. BMJ open 5: e008474.
  26. Singh LP (2013) Prevalence of low back injury (lbi) risk due to manual lifting tasks among small scale casting industry workers. Wyno Academic Journal of Engineering and Technology Research 1: 30-36.
  27. Murtezani A, Ibraimi Z, Petrela E, Osmani-vllasolli T (2012) Low back pain among Kosovo power plant workers: a survey. Italian Journal of Public Health 9: e8661.1-e866.7.
  28. Guo HR, Chang YC, Yeh WY, Chen CW, Guo YL (2004) Prevalence of musculoskeletal disorder among workers in Taiwan: a nationwide study. J Occup Health 46: 26-36.
  29. Andersson GB (1999) Epidemiological features of chronic low-back pain. Lancet 354: 581-585.
  30. Zamanian Z, Daneshmandi H, Setoodeh H, Nazaripoor E, Haghayegh A, et al. (2014) Risk Assessment of Musculoskeletal Disorders and Determination of the Associated Factors among Workers of a Dairy Products Factory. Journal of health sciences and surveillance system. 2:134-139.
  31. Kezunovic L, Stamatovic S, Stamatovic B, Jovanovic J (2004) One-year prevalence of musculoskeletal symptoms in aluminium industry potroom workers. Facta Universi tatis 11: 148-153.
  32. L Elders, A Burdorf (2001) Interrelations of risk factors and low back pain in scaffolders. Occup Environ Med 58: 597-603.
  33. Toroptsova NV, Benevolenskaya LI, Karyakin AN, Sergeev IL, Erdesz S (1995) "Cross-sectional" study of low back pain among workers at an industrial enterprise in Russia. Spine 20: 328-332.
  34. Burdorf A, Naaktgeboren B, de Groot HC (1993) Occupational risk factors for low back pain among sedentary workers. J Occup Med 35: 1213-1220.
  35. Rothenbacher D, Brenner H, Arndt V, Fraisse E, Zschenderlein B, et al. (1997) Disorders of the back and spine in construction workers: prevalence and prognostic value for disability. Spine 22: 1481-1486.
  36. Chen WQ, Yu IT, Wong TW (2005) Impact of occupational stress and other psychosocial factors on musculoskeletal pain among Chinese offshore oil installation workers. Occup Environ Med 62: 251-256.

Citation: Kashyap GC, Singh SK, Chokhandre P (2016) Risk Assessment of Low-back Trouble among Male Tannery Workers: A Study of Kanpur City, India. Occup Med Health Aff 4:254. Doi: 10.4172/2329-6879.1000254

Copyright: © 2016 Kashyap GC, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Top