Sickness Absenteeism, Morbidity and Workplace Injuries among Iron and Steel workers – A Cross Sectional Study from Karnataka, Southern India

Manjunatha, Reddy Y.; Kiran, Deepthi; Kr, Thankappan

doi:10.4066/amj.2011.576

Cited by 27 publications

(29 citation statements)

References 7 publications

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“…In other studies, prevalence of overall morbidity was varying from 16 to 81%. [ 4 13 14 ] This might be due to different working conditions, different health facilities, assessment methods, etc.…”

Section: Discussionmentioning

confidence: 99%

“…[ 21 ] Whereas study by Manjunatha et al ., (2011) on 353 iron and steel workers in Karnataka, South India showed hypertension in 24.4%. [ 4 ] Narlawar et al ., in their cross-sectional study found that prevalence of hypertension among continuous exposure group (25.51%) was significantly higher than intermittent exposure group (14.05%; χ 2 = 14.28, degrees of freedom (df) =1, P < 0.001). [ 22 ]…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, iron and steel workers are especially prone to occupational health problems and experience more sickness absenteeism. [ 4 ] The work-related morbidity and mortality not only results in suffering and hardship for the worker and his or her family, but it also adds to the overall cost to society through lost productivity and increased use of medical and welfare services. [ 5 ]…”

Section: Introductionmentioning

confidence: 99%

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A study of morbidity pattern among iron and steel workers from an industry in central India

Biswas

Koparkar

Joshi

et al. 2014

Indian J Occup Environ Med

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Background:Iron is the world's most commonly used metal and can usually be found with other elements in the form of steel. In this era of machines, it is the inevitable part in production of various materials like eyeglass frames, jet aircraft, the space shuttle, automobiles, and surgical instruments. Occupational factors make an important contribution to the global burden of disease, but the reliable data on occupational disease are much more difficult to obtain. Hence, the current study was carried out to find out the morbidity pattern among iron and steel workersMaterials and Methods:A cross-sectional study. was carried out after obtaining permission from Institutional Ethics Committee in an iron and steel factory. Worker's detailed information regarding profile was taken in pretested questionnaire format after obtaining the informed written consent and explaining the purpose of study. Workers were also interviewed regarding their years of job, job satisfaction, usage of protective devices, and history of injuries during work. Worker's detailed general and systemic examination was conducted.Results:The overall prevalence of morbidities among the workers was 60%. It was observed that commonest morbidity in the workers was lumbago (musculoskeletal pain), that is, 33.25%which was more in Group B (49.73%) than Group A (18.78%), followed by occupational dermatitis (27%) which more common in Group A (33.33%) than Group B (19.79%). It was seen that occupation-related morbidities were more prevalent in Group A, i.e. Exposed group (P < 0.001).Conclusion:It was observed that occupation-related morbidities were more common in exposed group (EG) than that of nonexposed group (NEG) and the difference was found to be statistically significant (P < 0.001).

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A study of morbidity pattern among iron and steel workers from an industry in central India

Biswas

Koparkar

Joshi

et al. 2014

Indian J Occup Environ Med

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“…Likewise, it is stated that workers engaging higher physical workloads report a higher prevalence of symptoms and in more body regions than those with lighter workloads (Widanarko et al, 2011). Furthermore, the high prevalence of musculoskeletal disorders in blue-collar workers is a major cause of absenteeism, diminished working abilities, higher medical costs and decreased productivity (Hanebuth, Meinel, & Fischer, 2006;Manjunatha, Kiran, & Thankappan, 2011).…”

Section: Introductionmentioning

confidence: 99%

Prevalence of musculoskeletal symptoms in blue-collar workers: association with individual and lifestyle-related factors

Moreira-Silva

Azevedo

Rodrigues

et al. 2019

IJOOES

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This study aimed to investigate the 12-month and 7-day prevalence of musculoskeletal symptoms in different body regions and its association with individual (age, gender and BMI) and lifestyle-related (physical activity level and sitting time) factors among blue-collar workers of a Portuguese manufacturing company. One hundred and thirty-six blue-collar workers participated in the study. Musculoskeletal symptoms were assessed with the Nordic Musculoskeletal Questionnaire, and physical activity level and sitting time were assessed with IPAQ-Short Version. The 12-month prevalence was higher in the low back (56.6%), followed by the wrist/hand (50%), the shoulder (45.6%) and the neck (44.9%). In the last 7 days, the four most affected body regions were: the low back region (25%), the shoulders (20.6%) and the neck and wrist/hands (19.9%). Regarding individual factors, significant associations were found between age and the prevalence of musculoskeletal symptoms in the shoulder (p=0.034), elbow (p=0.033), wrist/hand (p=0.030), thigh/hip (p=0.008), neck (p=0.010) and the low back region (p=0.045), with the older workers reporting higher prevalence of musculoskeletal symptoms. Also, women reported a significant higher prevalence of musculoskeletal symptoms in the neck than men (p=0.025). Overweight and obese workers had a significantly higher prevalence of symptoms in the shoulder (p=0.003), wrist/hands (p=0.030) and neck (p=0.033). Regarding lifestyle-related factors, no significant associations were found between physical activity level or sitting time (p>0.05) and the prevalence of musculoskeletal symptoms in any of the body regions. To conclude, blue-collar workers have a high prevalence of musculoskeletal symptoms. Individual factors like age, gender and BMI seem to influence the prevalence of musculoskeletal symptoms in different body regions, but lifestyle-related factors such as the physical activity level and sitting time seem not to be associated with the prevalence of musculoskeletal symptoms in studied sample. The results emphasize the need of workplace interventions to prevent musculoskeletal symptoms in this population.

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“…Iron and steel production workers carry out a number of tasks (e.g., iron making, steelmaking, and steel rolling) in iron and steel industries consisting of oven and furnaces, and thus highly exposed to many toxic substances such as metals (e.g., chromium, manganese, lead, and cadmium), carbon monoxide, various dusts, fumes, acid mists, solvents, oil mists, and physical hazards including heat, noise, ionizing radiation and vibration [ 9 ]. Therefore, iron and steel workers are highly associated with many health ailments related to the musculoskeletal system, gastrointestinal system, and respiratory system [ 10 , 11 ]. In addition, it has been reported that the hypertension prevalence rate is strikingly high in Chinese iron and steel workers [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Internal and External Factors Related to Burnout among Iron and Steel Workers: A Cross-Sectional Study in Anshan, China

Guo

Yang

et al. 2015

PLoS ONE

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BackgroundBurnout is a syndrome of emotional exhaustion, cynicism and reduced professional efficacy, which can result from long-term work stress. Although the burnout level is high among iron and steel workers, little is known concerning burnout among iron and steel worker. This study aimed to evaluate the burnout and to explore its associated internal and external factors in iron and steel workers.MethodsA cross-sectional survey was conducted in iron and steel workers at the Anshan iron-steel complex in Anshan, northeast China. Self-administered questionnaires were distributed to 1,600 workers, and finally 1,300 questionnaires were returned. Burnout was measured using the Chinese version of the Maslach Burnout Inventory-General Survey (MBI-GS). Effort-reward imbalance (ERI), perceived organizational support (POS), and psychological capital (PsyCap) were measured anonymously. A hierarchical regression model was applied to explore the internal and external factors associated with burnout.ResultsMean MBI-GS scores were 13.11±8.06 for emotional exhaustion, 6.64±6.44 for cynicism, and 28.96±10.39 for professional efficacy. Hierarchical linear regression analysis showed that ERI and POS were the most powerful predictors for emotional exhaustion and cynicism, and PsyCap was the most robust predictor for high professional efficacy.ConclusionsChinese iron and steel workers have a high level of burnout. Burnout might be associated with internal and external factors, including ERI, POS, and PsyCap. Further studies are recommended to develop an integrated model including both internal and external factors, to reduce the level of ERI, and improve POS and workers’ PsyCap, thereby alleviating the level of burnout among iron and steel workers.

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Sickness Absenteeism, Morbidity and Workplace Injuries among Iron and Steel workers – A Cross Sectional Study from Karnataka, Southern India

Cited by 27 publications

References 7 publications

A study of morbidity pattern among iron and steel workers from an industry in central India

A study of morbidity pattern among iron and steel workers from an industry in central India

Prevalence of musculoskeletal symptoms in blue-collar workers: association with individual and lifestyle-related factors

Internal and External Factors Related to Burnout among Iron and Steel Workers: A Cross-Sectional Study in Anshan, China

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