Associação entre poluição do ar e composição corporal : revisão sistemática e metanálise

Detalhes bibliográficos
Autor(a) principal: Oliveira, Suelen Goecks
Data de Publicação: 2019
Tipo de documento: Tese
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações da PUC_RS
Texto Completo: https://tede2.pucrs.br/tede2/handle/tede/10555
Resumo: Objective: Assess the association between pollution and body composition. Methods: The PECOS strategy was defined, in which “P” participants of any age, sex or ethnicity, “E higher level of environmental pollution, “C” lower level of environmental pollution, “O” body composition measurements and “S” longitudinal studies. We used the following sources to identify relevant studies from inception to March of 2022: MEDLINE (via PubMed), EMBASE, Scientific Electronic Library Online, Latin American and Caribbean Health Sciences Literature, Scopus, Web of Science, SPORTDiscus and gray literature. Two review authors independently scanned and assessed the quality of the studies. Results: Of 1406 studies identified, 24 were included in the Systematic Review (SR) and 18 in the meta-analysis (MA). The 24 studies included 505,370 individuals from different age groups, 42 types of environmental pollutants, and 20 different measures of body composition. The MA for all pollutants, showed association with waist circumference was β 0.97 (95% CI 0.77 to 1.18; I2: 98%), the sum of skinfolds was β 1.03 (95% CI 0.90 to 1.16; I2: 59%) and trunk fat percent was β coefficient -0.05 (95% CI -0.10 to -0.01; I2: 0%). On the other hand, the MA differentiated by pollutant found an association with of Diclorodifenildicloroetileno and the Sum of 4 Skinfolds was β 1.09 (95% CI 0.99 to 1.18; I2: 0%), of hexachlorobenzene and the BMI Z was 0.44 (95% CI 0.15 to 0.73; I2: 0%) and of p.p-dicloro difenil tricloroetanol and the Body Fat Percentage was -0.38 (95% CI –0.74 to -0.02; I2: 0%). Finally, the MA by subgroup found an association between of pesticide and the waist circumference was β 1.0 (95% CI 0.79 to 1.21; I2: 98%); the Sum of 4 skinfolds was β 1.07 (95% CI 0.99 to 1.15; I2: 7%) and body fat percentage was β -0.48 (95% CI -0.67 to -0.30; I2: 0%). Heavy metals and Waist circumference was β 0.98 (95% CI 0.96 to 1.00; I2: 0%). Benzene derivate and Waist circumference was β 1.01 (95% CI 0.83 to 1.18; I2: 91%); of sum of four skinfolds was β 1.05 (95% CI 0.65 to 1.46; I2: 73%). Carbon-containing compounds and of Trunk fat was β -0.05 (95% CI -0.10 to -0.01; I2: 91%). Conclusion: environmental pollutants are associated with changes in body composition.
id P_RS_38f270234c3d1b74af233a705b6e3473
oai_identifier_str oai:tede2.pucrs.br:tede/10555
network_acronym_str P_RS
network_name_str Biblioteca Digital de Teses e Dissertações da PUC_RS
repository_id_str
spelling Mattiello, Ritahttp://lattes.cnpq.br/4920515067971772Lahm, Regis Alexandrehttp://lattes.cnpq.br/0407648694453994http://lattes.cnpq.br/3553358863548077Oliveira, Suelen Goecks2022-11-18T19:02:52Z2019-12-17https://tede2.pucrs.br/tede2/handle/tede/10555Objective: Assess the association between pollution and body composition. Methods: The PECOS strategy was defined, in which “P” participants of any age, sex or ethnicity, “E higher level of environmental pollution, “C” lower level of environmental pollution, “O” body composition measurements and “S” longitudinal studies. We used the following sources to identify relevant studies from inception to March of 2022: MEDLINE (via PubMed), EMBASE, Scientific Electronic Library Online, Latin American and Caribbean Health Sciences Literature, Scopus, Web of Science, SPORTDiscus and gray literature. Two review authors independently scanned and assessed the quality of the studies. Results: Of 1406 studies identified, 24 were included in the Systematic Review (SR) and 18 in the meta-analysis (MA). The 24 studies included 505,370 individuals from different age groups, 42 types of environmental pollutants, and 20 different measures of body composition. The MA for all pollutants, showed association with waist circumference was β 0.97 (95% CI 0.77 to 1.18; I2: 98%), the sum of skinfolds was β 1.03 (95% CI 0.90 to 1.16; I2: 59%) and trunk fat percent was β coefficient -0.05 (95% CI -0.10 to -0.01; I2: 0%). On the other hand, the MA differentiated by pollutant found an association with of Diclorodifenildicloroetileno and the Sum of 4 Skinfolds was β 1.09 (95% CI 0.99 to 1.18; I2: 0%), of hexachlorobenzene and the BMI Z was 0.44 (95% CI 0.15 to 0.73; I2: 0%) and of p.p-dicloro difenil tricloroetanol and the Body Fat Percentage was -0.38 (95% CI –0.74 to -0.02; I2: 0%). Finally, the MA by subgroup found an association between of pesticide and the waist circumference was β 1.0 (95% CI 0.79 to 1.21; I2: 98%); the Sum of 4 skinfolds was β 1.07 (95% CI 0.99 to 1.15; I2: 7%) and body fat percentage was β -0.48 (95% CI -0.67 to -0.30; I2: 0%). Heavy metals and Waist circumference was β 0.98 (95% CI 0.96 to 1.00; I2: 0%). Benzene derivate and Waist circumference was β 1.01 (95% CI 0.83 to 1.18; I2: 91%); of sum of four skinfolds was β 1.05 (95% CI 0.65 to 1.46; I2: 73%). Carbon-containing compounds and of Trunk fat was β -0.05 (95% CI -0.10 to -0.01; I2: 91%). Conclusion: environmental pollutants are associated with changes in body composition.Objetivo: Avaliar a associação entre poluição e composição corporal. Métodos: Foi definida a estratégia PECOS, na qual participantes “P” de qualquer idade, sexo ou etnia, “E” maior nível de poluição ambiental, “C” menor nível de poluição ambiental, “O” medidas de composição corporal e “S” estudos longitudinais. Usamos as seguintes fontes para identificar estudos relevantes desde o início até março de 2022: MEDLINE (via PubMed), EMBASE, Scientific Electronic Library Online, Literatura Latino-Americana e do Caribe em Ciências da Saúde, Scopus, Web of Science, SPORTDiscus e literatura cinza. Dois revisores escanearam e avaliaram independentemente a qualidade dos estudos. Resultados: Dos 1.406 estudos identificados, 24 foram incluídos na Revisão Sistemática (RS) e 18 na metanálise (MA). Os 24 estudos incluíram 505.370 indivíduos de diferentes faixas etárias, 42 tipos de poluentes ambientais e 20 diferentes medidas de composição corporal. A MA para todos os poluentes, apresentou associação com a circunferência da cintura foi β 0,97 (IC 95% 0,77 a 1,18; I2: 98%), a soma das dobras cutâneas foi β 1,03 (IC 95% 0,90 a 1,16; I2: 59%) e percentual de gordura foi coeficiente β -0,05 (IC 95% -0,10 a -0,01; I2: 0%). Por outro lado, o MA diferenciado por poluente encontrou associação com o Diclorodifenildicloroetileno e a Soma das 4 dobras cutâneas foi β 1,09 (IC 95% 0,99 a 1,18; I2: 0%), do hexaclorobenzeno e o IMC Z foi 0,44 (95% IC 0,15 a 0,73; I2: 0%) e de p.p-dicloro difenil tricloroetanol e o percentual de gordura corporal foi de -0,38 (IC 95% -0,74 a -0,02; I2: 0%). Por fim, a MA por subgrupo encontrou associação entre o agrotóxico e a circunferência da cintura foi β 1,0 (IC 95% 0,79 a 1,21; I2: 98%); a soma de 4 dobras cutâneas foi β 1,07 (IC 95% 0,99 a 1,15; I2: 7%) e o percentual de gordura corporal foi β -0,48 (IC 95% -0,67 a -0,30; I2: 0%). Metais pesados e circunferência da cintura foi β 0,98 (IC 95% 0,96 a 1,00; I2: 0%). Derivado de benzeno e circunferência da cintura foi β 1,01 (IC 95% 0,83 a 1,18; I2: 91%); da soma das 4 dobras cutâneas foi β 1,05 (IC 95% 0,65 a 1,46; I2: 73%). Compostos contendo carbono e de gordura do tronco foi β -0,05 (95% CI -0,10 a -0,01; I2: 91%). Conclusão: poluentes ambientais estão associadas a alterações na composição corporal.Submitted by PPG Pediatria e Saúde da Criança (pediatria-pg@pucrs.br) on 2022-11-17T17:51:10Z No. of bitstreams: 1 Tese_Suelen Goecks Oliveira19.08.2022.pdf: 2687694 bytes, checksum: d57148f445dd60f731e19858a954ba9a (MD5)Approved for entry into archive by Sheila Dias (sheila.dias@pucrs.br) on 2022-11-18T18:40:54Z (GMT) No. of bitstreams: 1 Tese_Suelen Goecks Oliveira19.08.2022.pdf: 2687694 bytes, checksum: d57148f445dd60f731e19858a954ba9a (MD5)Made available in DSpace on 2022-11-18T19:02:52Z (GMT). No. of bitstreams: 1 Tese_Suelen Goecks Oliveira19.08.2022.pdf: 2687694 bytes, checksum: d57148f445dd60f731e19858a954ba9a (MD5) Previous issue date: 2019-12-17Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfhttps://tede2.pucrs.br/tede2/retrieve/185986/TES_SUELEN_GOECKS_OLIVEIRA_CONFIDENCIAL.pdf.jpgporPontifícia Universidade Católica do Rio Grande do SulPrograma de Pós-Graduação em Medicina/Pediatria e Saúde da CriançaPUCRSBrasilEscola de MedicinaPoluição do ArComposição CorporalEnvironmental PollutantsBody CompositionCIENCIAS DA SAUDE::MEDICINACLINICA MEDICA::PEDIATRIAAssociação entre poluição do ar e composição corporal : revisão sistemática e metanáliseinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisTrabalho será publicado como artigo ou livro60 meses18/11/2027557290555552975733500500500600600-224747486637135387-969369452308786627-70271217037790659553590462550136975366info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da PUC_RSinstname:Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS)instacron:PUC_RSTHUMBNAILTES_SUELEN_GOECKS_OLIVEIRA_CONFIDENCIAL.pdf.jpgTES_SUELEN_GOECKS_OLIVEIRA_CONFIDENCIAL.pdf.jpgimage/jpeg4126https://tede2.pucrs.br/tede2/bitstream/tede/10555/4/TES_SUELEN_GOECKS_OLIVEIRA_CONFIDENCIAL.pdf.jpgd602319fe8fedf3cef0903a7e1748c28MD54TEXTTES_SUELEN_GOECKS_OLIVEIRA_CONFIDENCIAL.pdf.txtTES_SUELEN_GOECKS_OLIVEIRA_CONFIDENCIAL.pdf.txttext/plain1716https://tede2.pucrs.br/tede2/bitstream/tede/10555/3/TES_SUELEN_GOECKS_OLIVEIRA_CONFIDENCIAL.pdf.txt01acba8fd21d7de146d5631ddbc224f8MD53ORIGINALTES_SUELEN_GOECKS_OLIVEIRA_CONFIDENCIAL.pdfTES_SUELEN_GOECKS_OLIVEIRA_CONFIDENCIAL.pdfapplication/pdf438788https://tede2.pucrs.br/tede2/bitstream/tede/10555/2/TES_SUELEN_GOECKS_OLIVEIRA_CONFIDENCIAL.pdfedcd34dfee9c8f66bef7ecad7be8710eMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-8590https://tede2.pucrs.br/tede2/bitstream/tede/10555/1/license.txt220e11f2d3ba5354f917c7035aadef24MD51tede/105552022-11-18 20:00:14.987oai:tede2.pucrs.br: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Biblioteca Digital de Teses e Dissertaçõeshttp://tede2.pucrs.br/tede2/PRIhttps://tede2.pucrs.br/oai/requestbiblioteca.central@pucrs.br||opendoar:2022-11-18T22:00:14Biblioteca Digital de Teses e Dissertações da PUC_RS - Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS)false
dc.title.por.fl_str_mv Associação entre poluição do ar e composição corporal : revisão sistemática e metanálise
title Associação entre poluição do ar e composição corporal : revisão sistemática e metanálise
spellingShingle Associação entre poluição do ar e composição corporal : revisão sistemática e metanálise
Oliveira, Suelen Goecks
Poluição do Ar
Composição Corporal
Environmental Pollutants
Body Composition
CIENCIAS DA SAUDE::MEDICINA
CLINICA MEDICA::PEDIATRIA
title_short Associação entre poluição do ar e composição corporal : revisão sistemática e metanálise
title_full Associação entre poluição do ar e composição corporal : revisão sistemática e metanálise
title_fullStr Associação entre poluição do ar e composição corporal : revisão sistemática e metanálise
title_full_unstemmed Associação entre poluição do ar e composição corporal : revisão sistemática e metanálise
title_sort Associação entre poluição do ar e composição corporal : revisão sistemática e metanálise
author Oliveira, Suelen Goecks
author_facet Oliveira, Suelen Goecks
author_role author
dc.contributor.advisor1.fl_str_mv Mattiello, Rita
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/4920515067971772
dc.contributor.advisor-co1.fl_str_mv Lahm, Regis Alexandre
dc.contributor.advisor-co1Lattes.fl_str_mv http://lattes.cnpq.br/0407648694453994
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/3553358863548077
dc.contributor.author.fl_str_mv Oliveira, Suelen Goecks
contributor_str_mv Mattiello, Rita
Lahm, Regis Alexandre
dc.subject.por.fl_str_mv Poluição do Ar
Composição Corporal
topic Poluição do Ar
Composição Corporal
Environmental Pollutants
Body Composition
CIENCIAS DA SAUDE::MEDICINA
CLINICA MEDICA::PEDIATRIA
dc.subject.eng.fl_str_mv Environmental Pollutants
Body Composition
dc.subject.cnpq.fl_str_mv CIENCIAS DA SAUDE::MEDICINA
CLINICA MEDICA::PEDIATRIA
description Objective: Assess the association between pollution and body composition. Methods: The PECOS strategy was defined, in which “P” participants of any age, sex or ethnicity, “E higher level of environmental pollution, “C” lower level of environmental pollution, “O” body composition measurements and “S” longitudinal studies. We used the following sources to identify relevant studies from inception to March of 2022: MEDLINE (via PubMed), EMBASE, Scientific Electronic Library Online, Latin American and Caribbean Health Sciences Literature, Scopus, Web of Science, SPORTDiscus and gray literature. Two review authors independently scanned and assessed the quality of the studies. Results: Of 1406 studies identified, 24 were included in the Systematic Review (SR) and 18 in the meta-analysis (MA). The 24 studies included 505,370 individuals from different age groups, 42 types of environmental pollutants, and 20 different measures of body composition. The MA for all pollutants, showed association with waist circumference was β 0.97 (95% CI 0.77 to 1.18; I2: 98%), the sum of skinfolds was β 1.03 (95% CI 0.90 to 1.16; I2: 59%) and trunk fat percent was β coefficient -0.05 (95% CI -0.10 to -0.01; I2: 0%). On the other hand, the MA differentiated by pollutant found an association with of Diclorodifenildicloroetileno and the Sum of 4 Skinfolds was β 1.09 (95% CI 0.99 to 1.18; I2: 0%), of hexachlorobenzene and the BMI Z was 0.44 (95% CI 0.15 to 0.73; I2: 0%) and of p.p-dicloro difenil tricloroetanol and the Body Fat Percentage was -0.38 (95% CI –0.74 to -0.02; I2: 0%). Finally, the MA by subgroup found an association between of pesticide and the waist circumference was β 1.0 (95% CI 0.79 to 1.21; I2: 98%); the Sum of 4 skinfolds was β 1.07 (95% CI 0.99 to 1.15; I2: 7%) and body fat percentage was β -0.48 (95% CI -0.67 to -0.30; I2: 0%). Heavy metals and Waist circumference was β 0.98 (95% CI 0.96 to 1.00; I2: 0%). Benzene derivate and Waist circumference was β 1.01 (95% CI 0.83 to 1.18; I2: 91%); of sum of four skinfolds was β 1.05 (95% CI 0.65 to 1.46; I2: 73%). Carbon-containing compounds and of Trunk fat was β -0.05 (95% CI -0.10 to -0.01; I2: 91%). Conclusion: environmental pollutants are associated with changes in body composition.
publishDate 2019
dc.date.issued.fl_str_mv 2019-12-17
dc.date.accessioned.fl_str_mv 2022-11-18T19:02:52Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://tede2.pucrs.br/tede2/handle/tede/10555
url https://tede2.pucrs.br/tede2/handle/tede/10555
dc.language.iso.fl_str_mv por
language por
dc.relation.program.fl_str_mv 557290555552975733
dc.relation.confidence.fl_str_mv 500
500
500
600
600
dc.relation.department.fl_str_mv -224747486637135387
dc.relation.cnpq.fl_str_mv -969369452308786627
-7027121703779065955
dc.relation.sponsorship.fl_str_mv 3590462550136975366
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pontifícia Universidade Católica do Rio Grande do Sul
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Medicina/Pediatria e Saúde da Criança
dc.publisher.initials.fl_str_mv PUCRS
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Escola de Medicina
publisher.none.fl_str_mv Pontifícia Universidade Católica do Rio Grande do Sul
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações da PUC_RS
instname:Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS)
instacron:PUC_RS
instname_str Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS)
instacron_str PUC_RS
institution PUC_RS
reponame_str Biblioteca Digital de Teses e Dissertações da PUC_RS
collection Biblioteca Digital de Teses e Dissertações da PUC_RS
bitstream.url.fl_str_mv https://tede2.pucrs.br/tede2/bitstream/tede/10555/4/TES_SUELEN_GOECKS_OLIVEIRA_CONFIDENCIAL.pdf.jpg
https://tede2.pucrs.br/tede2/bitstream/tede/10555/3/TES_SUELEN_GOECKS_OLIVEIRA_CONFIDENCIAL.pdf.txt
https://tede2.pucrs.br/tede2/bitstream/tede/10555/2/TES_SUELEN_GOECKS_OLIVEIRA_CONFIDENCIAL.pdf
https://tede2.pucrs.br/tede2/bitstream/tede/10555/1/license.txt
bitstream.checksum.fl_str_mv d602319fe8fedf3cef0903a7e1748c28
01acba8fd21d7de146d5631ddbc224f8
edcd34dfee9c8f66bef7ecad7be8710e
220e11f2d3ba5354f917c7035aadef24
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações da PUC_RS - Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS)
repository.mail.fl_str_mv biblioteca.central@pucrs.br||
_version_ 1799765358773534720