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Background: Smoking, alcohol consumption and chewing of tobacco affect the health of people as well as the socioeconomic structure of families, communities and eventually the nation. This study assesses the prevalence of substance use among municipal solid waste workers of Mumbai. Methods: To conduct the study, information was collected from 540 municipal workers of Mumbai with regard to substance use as well as their socioeconomic and occupational characteristics. To draw inferential statistics, the data was processed through multivariate logistic regression (MLR) and ordered logistics regression (OLR). Results: Multivariate regression suggests that waste loaders and street sweepers are significantly more likely to smoke, consume alcohol and chew tobacco with reference to the comparison group. Workers with more working years and morbid health status are significantly more likely to get involved with substance use. The results of OLR reveal that municipal waste workers are significantly more likely to consume alcohol on a daily basis (β = 0.220, p < 0.001). Conclusion: Socioeconomic characteristics significantly contribute in increasing the risk of substance use among workers. Workers defend their habit of substance use by considering it as a mechanism for coping with the filthy nature of their occupation. Evidence-based preventive measures need to be developed in order to reduce substance use among municipal solid waste workers. [ABSTRACT FROM AUTHOR]

Objectives: The study aims to assess the impact of municipal waste loading occupation upon developing musculoskeletal disorders (MSDs) and thereby disabilities among waste loaders. Additionally, the study has identified the potential risk factors raising MSDs and disabilities.Material and Methods: A cross-sectional case-control design survey was conducted in 6 out of 24 municipal wards of Mumbai during March-September 2015. The study population consisted of municipal waste loaders (N = 180) and a control group (N = 180). The Standardized Modified Nordic questionnaire was adopted to measures the MSDs and thereby disabilities in the past 12 months. A Propensity Score Matching (PSM) method was applied to assess the impact of waste loading occupation on developing MSDs and disabilities.Results: Waste loaders had a significantly higher risk of developing MSDs as well as disabilities than the control group particularly for low back, hip/ thigh upper back and shoulder. Propensity Score Matching results revealed that the MSDs were significantly higher among waste loaders for hip/thigh (22%), low back (19%), shoulder (18%), and upper back (15%) than matched control group. Likewise, MSDs-related disabilities were found to be significantly higher among waste loaders for low back (20%), hip/ thigh (18%) upper back (13%) and shoulder (8%) than the control group. Duration of work, substance use and mental health were found to be the potential psychosocial factors for developing the risk of MSDs and disabilities.Conclusions: The municipal waste loading occupation raised the risk of MSDs and related disabilities among waste loaders compared to the control group. The preventive and curative measures are strongly recommended to minimize the burden of MSDs and disabilities. Int J Occup Med Environ Health 2017;30(6):875-886. [ABSTRACT FROM AUTHOR]

Background: The occupation of waste-picking characterised as 3Ds - dangerous, drudgery and demanding. In this context, the study aimed to assess occupational morbidities among the waste-pickers and attempts to identify potential individual level risk factors enhancing health risks. Additionally, economic burden of morbidities has been assessed. Methods: The burden of the morbidities was assessed and compared with a comparison group through a cross-sectional survey. Waste-pickers (n = 200) and a comparison group (n = 103) working for at least a year were randomly selected from the communities living on the edge of the Deonar dumping site. The difference in the prevalence of morbidities was tested using the chi-square test. The effect of waste picking resulting the development of morbidities was assessed using the propensity score matching (PSM) method. A multivariate logistic regression model was employed to identify the individual risk factors. T-test has been employed in order to analyse the difference in health care expenditure between waste pickers and non-waste pickers. Results: The prevalence of morbidities was significantly higher among the waste-pickers, particularly for injuries (75%), respiratory illness (28%), eye infection (29%), and stomach problems (32%), compared to the comparison group (17%, 15%, 18%, and 19% respectively). The results of the PSM method highlighted that waste-picking raised the risk of morbidity for injuries (62%) and respiratory illness (13%). Results of logistic regression suggest that low level of hygiene practices [household cleanliness (OR = 3.23, p < 0.00), non-use of soap before meals (OR = 2.65, p < 0.05)] and use of recyclable items as a cooking fuel (OR = 2.12, p < 0.03) enhanced health risks among the waste pickers when adjusted for the age, duration of work, duration of stay in community and substance use. Additionally, the high prevalence of morbidities among waste pickers resulted into higher healthcare expenditure. Findings of the study suggest that not only healthcare expenditure but persistence of illness and work days lost due to injury/illness is significantly higher among waste pickers compared to non-waste pickers. Conclusions: The study concluded that waste-picking raised the risk of morbidities as also expenditure on healthcare. Results from the study recommend several measures to lessen the morbidities and thereby incurred healthcare expenditure. [ABSTRACT FROM AUTHOR]