Dataset Information

Health conditions and occupational risks in a novel group: waste pickers in the largest open garbage dump in Latin America.

ABSTRACT: BACKGROUND:The inadequate management of solid waste impacts populations' health and quality of life, and disproportionately affects developing countries. This study aims to describe a protocol for epidemiological diagnosis, the purpose being to estimate the prevalence of chronic and communicable and non communicable diseases in waste pickers, and the occupational and environmental risk factors to which these are exposed. METHODS:This is a cross-sectional study, based on survey design in an area of extreme social vulnerability - the largest garbage dump in Latin America. Using a multidimensional research protocol, divided in three stages: 1- The identification of the subjects, and the scheduling of tests; 2- Situational diagnosis through interviews, anthropometric evaluation, measuring blood pressure, collecting hair and nail samples to detect exposure to heavy metals and undertaking laboratory tests; 3- The return of the waste pickers to receive the test results, followed by referral to the health team and to report occupational accidents. RESULTS:One thousand twenty-five waste pickers undertook tests and interviews. The majority were women (67.0%), with 36-45?years old (45.7%), and 96.0% had children. In total, 27.3% of the participants did not attend to any school and 47.7% were educated only up to primary level. The majority of waste pickers (68.70%) reported accidents and most of them (89.69%) were related to sharp objects. The mean time working in this open dump was 15?years. According the anthropometric measure, 32.6% were overweight and 21.1% were obese. The most common reported diseases were: osteomuscular disorders (78.7%); arboviruses (28.6%); episodic diarrhea (24.9%); hypertension (24.2%); bronchitis (14.3%); intestinal worms (12.6%) and diabetes (10.1%). According to the blood tests, the values outside the reference limits were: Uric acid (23.89%); creatinine (54.06%); GGT range (16.04%); SGOT - Serum Glutamic Oxaloacetic Transaminase (5.29%); SGPT - serum Glutamic-Pyruvic Transaminase (35.52%). CONCLUSIONS:This study is the first to evaluate multiple risks and diseases in the majority of waste pickers working in the largest garbage dump of a continent. These findings highlight the importance to address urgently the environmental, social and health impacts related to the management of solid waste in developmental countries to protect these workers and their families.

SUBMITTER: Cruvinel VRN

PROVIDER: S-EPMC6521552 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Health conditions and occupational risks in a novel group: waste pickers in the largest open garbage dump in Latin America.

Cruvinel Vanessa Resende Nogueira VRN Marques Carla Pintas CP Cardoso Vanessa V Novaes Maria Rita Carvalho Garbi MRCG Araújo Wildo Navegantes WN Angulo-Tuesta Antonia A Escalda Patrícia Maria Fonseca PMF Galato Dayani D Brito Petruza P da Silva Everton Nunes EN

BMC public health 20190516 1

<h4>Background</h4>The inadequate management of solid waste impacts populations' health and quality of life, and disproportionately affects developing countries. This study aims to describe a protocol for epidemiological diagnosis, the purpose being to estimate the prevalence of chronic and communicable and non communicable diseases in waste pickers, and the occupational and environmental risk factors to which these are exposed.<h4>Methods</h4>This is a cross-sectional study, based on survey des ...[more]

PMID: 31096940

Similar Datasets

Project description:BackgroundNoncommunicable chronic diseases are associated with multiple risks factors and negative outcomes that are long-lasting and difficult to treat. Some populations may be at greater risk because of their socioeconomic status, lack of healthcare, environment, and poor work and living conditions. Informal waste pickers may experience higher levels of chronic diseases and often do not have access to care to manage symptoms.ObjectivesThe aim of the present study was to understand the prevalence of chronic diseases in waste pickers, along with perceived associated risks and available treatments.MethodsA qualitative study was conducted, using interviews with 24 waste pickers who worked at Estrutural dumpsite in Brasilia, Brazil which was historically the second largest open-air dumpsite in the world.ResultsParticipants believed their commonly experienced chronic diseases were a result of working in the open-air dumpsite. Chronic diseases commonly noted in the interviews included hypertension, chronic pain, respiratory disease, diabetes, and kidney problems. Participants discussed self-medication or prescribed medication used to treat their conditions. Most participants had varying beliefs regarding prevention strategies to reduce disease; some ideas for prevention focused on religion, fate, and God when discussing outcomes related to illnesses. When answering questions regarding ideal working conditions to help prevent diseases, participants responded by expressing a desire for protective gear (e.g. PPE) which could help mitigate hazards associated with the dump.ConclusionsRecyclable collectors were aware of occupational hazards to which they were exposed and associated noncommunicable chronic diseases but lacked education on the importance of preventive measures and access to healthcare services. The findings of the present study confirm the need to strengthen intersectoral actions to protect and uphold the health rights of this vulnerable population.Participant consentObtained.Ethics approvalThis study was approved by the Research and Ethics Committee of the Health School of Brasília University under Opinion n. 1.517.670/2016.Competing interestsThe authors declare no competing financial interests.

Project description:There is little consensus on the amount of worldwide food waste generation because many current estimates are indirect and link back to the same limited primary datasets, with much of the data originating from fieldwork undertaken in the 1970s and 1980s. Direct measurement of waste streams, through waste composition studies, can be used to develop accurate estimates of food waste disposal. In Ontario, Canada, municipalities that undertake household waste composition studies all use a common direct measurement methodology that includes a broad range of waste categories, including food waste. The purpose of this research was to estimate the quantity of food waste disposed, in the garbage stream, by households in southern Ontario, Canada, and determine if this common methodology could be expanded and serve as the basis of a standardized and rigorous household food waste measurement methodology. Household waste composition study data (2012-2015), including a single "food waste" category, were gathered from 9 Ontario municipalities, aggregated and analyzed to develop estimates of food waste in the garbage stream. On average, households disposed 2.40 kg/week of food waste in the garbage, which comprised 35.4% of this waste stream. This does not include any food waste otherwise disposed (e.g., sink) or recycled (e.g., composted). Urban households disposed significantly greater amounts of food waste compared to rural households in the spring (p = 0.01) and summer (p = 0.02). Households with access to a green bin program disposed significantly less food waste than those with no access to a green bin program in the spring (p = 0.03) and summer (p<0.01). The common methodology used to develop these estimates shows promise as the basis of a household food waste measurement methodology. This future methodology would include dividing food waste into avoidable and unavoidable food waste categories, as well as adding subcategories (e.g., avoidable fruits and vegetables).

Dataset Information

Health conditions and occupational risks in a novel group: waste pickers in the largest open garbage dump in Latin America.

Publications

Health conditions and occupational risks in a novel group: waste pickers in the largest open garbage dump in Latin America.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure