Youth working in tobacco farming: effects on smoking behavior and association with health status
- Autores
- Alderete, Ethel del Carmen; Livaudais Toman, Jennifer; Kaplan, Celia; Gregorich, Steven E.; Mejía, Raúl; Pérez Stable, Eliseo J.
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Background: Cultivation of tobacco raises concerns about detrimental health and social consequences for youth, but tobacco producing countries only highlight economic benefits. We compared sociodemographic and health-related characteristics of school-age youth who worked and did not work in tobacco farming and assessed the effects on smoking behavior and health at 1 year. Methods: We used existing data collected in the province of Jujuy, Argentina where 3188 youth 13 to 17 years of age from a random middle school sample responded to longitudinal questionnaires in 2005 and 2006. Multivariate logistic regression models predicted association of tobacco farming work with health status and smoking behavior at 1 year. Results: 22.8% of youth in the tobacco growing areas of the province were involved in tobacco farming. The mean age of initiation to tobacco farming was 12.6 years. Youth working in farming had higher rates of fair or poor versus good or excellent self-perceived health (30.3% vs. 19.0%), having a serious injury (48.5% vs. 38.5%), being injured accidentally by someone else (7.5% vs. 4.6%), being assaulted (5.5% vs. 2.6%), and being poisoned by exposure to chemicals (2.5% vs. 0.7%). Youth working in tobacco farming also had higher prevalence of ever (67.9% vs. 55.2%), current (48.0% vs. 32.6%) and established smoking (17.8% vs. 9.9%). In multivariate logistic regression models tobacco farming in 2005 was associated with significant increased reporting of serious injury (OR = 1.4; 95%CI 1.1-2.0), accidental injury by someone else (OR = 1.5; 95% 1.0-2.1), assault (OR = 2.2; 95% CI 1.3-3.8), and poisoning by exposure to chemicals (OR = 2.5; 95% CI 1.2-5.4). Tobacco farming in 2005 predicted established smoking 1 year later (OR = 1.5; 95% CI 1.1-2.0). Conclusion: Youth who work in tobacco faming face a challenging burden of adversities that increase their vulnerability. Risk assessments should guide public policies to protect underage youth working in tobacco farming. (298 words).
Fil: Alderete, Ethel del Carmen. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Unidad Ejecutora en Ciencias Sociales Regionales y Humanidades. Universidad Nacional de Jujuy. Unidad Ejecutora en Ciencias Sociales Regionales y Humanidades; Argentina
Fil: Livaudais Toman, Jennifer. University of California; Estados Unidos
Fil: Kaplan, Celia. University of California; Estados Unidos
Fil: Gregorich, Steven E.. University of California; Estados Unidos
Fil: Mejía, Raúl. Centro de Estudios de Estado y Sociedad; Argentina
Fil: Pérez Stable, Eliseo J.. National Institutes of Health; Estados Unidos - Materia
-
HEALTH STATUS
INTERAGENCY POLICY MAKING
SMOKING
TOBACCO FARMING
YOUTH - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/144581
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Youth working in tobacco farming: effects on smoking behavior and association with health statusAlderete, Ethel del CarmenLivaudais Toman, JenniferKaplan, CeliaGregorich, Steven E.Mejía, RaúlPérez Stable, Eliseo J.HEALTH STATUSINTERAGENCY POLICY MAKINGSMOKINGTOBACCO FARMINGYOUTHhttps://purl.org/becyt/ford/5.4https://purl.org/becyt/ford/5Background: Cultivation of tobacco raises concerns about detrimental health and social consequences for youth, but tobacco producing countries only highlight economic benefits. We compared sociodemographic and health-related characteristics of school-age youth who worked and did not work in tobacco farming and assessed the effects on smoking behavior and health at 1 year. Methods: We used existing data collected in the province of Jujuy, Argentina where 3188 youth 13 to 17 years of age from a random middle school sample responded to longitudinal questionnaires in 2005 and 2006. Multivariate logistic regression models predicted association of tobacco farming work with health status and smoking behavior at 1 year. Results: 22.8% of youth in the tobacco growing areas of the province were involved in tobacco farming. The mean age of initiation to tobacco farming was 12.6 years. Youth working in farming had higher rates of fair or poor versus good or excellent self-perceived health (30.3% vs. 19.0%), having a serious injury (48.5% vs. 38.5%), being injured accidentally by someone else (7.5% vs. 4.6%), being assaulted (5.5% vs. 2.6%), and being poisoned by exposure to chemicals (2.5% vs. 0.7%). Youth working in tobacco farming also had higher prevalence of ever (67.9% vs. 55.2%), current (48.0% vs. 32.6%) and established smoking (17.8% vs. 9.9%). In multivariate logistic regression models tobacco farming in 2005 was associated with significant increased reporting of serious injury (OR = 1.4; 95%CI 1.1-2.0), accidental injury by someone else (OR = 1.5; 95% 1.0-2.1), assault (OR = 2.2; 95% CI 1.3-3.8), and poisoning by exposure to chemicals (OR = 2.5; 95% CI 1.2-5.4). Tobacco farming in 2005 predicted established smoking 1 year later (OR = 1.5; 95% CI 1.1-2.0). Conclusion: Youth who work in tobacco faming face a challenging burden of adversities that increase their vulnerability. Risk assessments should guide public policies to protect underage youth working in tobacco farming. (298 words).Fil: Alderete, Ethel del Carmen. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Unidad Ejecutora en Ciencias Sociales Regionales y Humanidades. Universidad Nacional de Jujuy. Unidad Ejecutora en Ciencias Sociales Regionales y Humanidades; ArgentinaFil: Livaudais Toman, Jennifer. University of California; Estados UnidosFil: Kaplan, Celia. University of California; Estados UnidosFil: Gregorich, Steven E.. University of California; Estados UnidosFil: Mejía, Raúl. Centro de Estudios de Estado y Sociedad; ArgentinaFil: Pérez Stable, Eliseo J.. National Institutes of Health; Estados UnidosBioMed Central2020-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/144581Alderete, Ethel del Carmen; Livaudais Toman, Jennifer; Kaplan, Celia; Gregorich, Steven E.; Mejía, Raúl; et al.; Youth working in tobacco farming: effects on smoking behavior and association with health status; BioMed Central; BMC Public Health; 20; 84; 1-2020; 1-91471-2458CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-020-8169-zinfo:eu-repo/semantics/altIdentifier/doi/10.1186/s12889-020-8169-zinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:59:56Zoai:ri.conicet.gov.ar:11336/144581instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:59:57.241CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Youth working in tobacco farming: effects on smoking behavior and association with health status |
title |
Youth working in tobacco farming: effects on smoking behavior and association with health status |
spellingShingle |
Youth working in tobacco farming: effects on smoking behavior and association with health status Alderete, Ethel del Carmen HEALTH STATUS INTERAGENCY POLICY MAKING SMOKING TOBACCO FARMING YOUTH |
title_short |
Youth working in tobacco farming: effects on smoking behavior and association with health status |
title_full |
Youth working in tobacco farming: effects on smoking behavior and association with health status |
title_fullStr |
Youth working in tobacco farming: effects on smoking behavior and association with health status |
title_full_unstemmed |
Youth working in tobacco farming: effects on smoking behavior and association with health status |
title_sort |
Youth working in tobacco farming: effects on smoking behavior and association with health status |
dc.creator.none.fl_str_mv |
Alderete, Ethel del Carmen Livaudais Toman, Jennifer Kaplan, Celia Gregorich, Steven E. Mejía, Raúl Pérez Stable, Eliseo J. |
author |
Alderete, Ethel del Carmen |
author_facet |
Alderete, Ethel del Carmen Livaudais Toman, Jennifer Kaplan, Celia Gregorich, Steven E. Mejía, Raúl Pérez Stable, Eliseo J. |
author_role |
author |
author2 |
Livaudais Toman, Jennifer Kaplan, Celia Gregorich, Steven E. Mejía, Raúl Pérez Stable, Eliseo J. |
author2_role |
author author author author author |
dc.subject.none.fl_str_mv |
HEALTH STATUS INTERAGENCY POLICY MAKING SMOKING TOBACCO FARMING YOUTH |
topic |
HEALTH STATUS INTERAGENCY POLICY MAKING SMOKING TOBACCO FARMING YOUTH |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/5.4 https://purl.org/becyt/ford/5 |
dc.description.none.fl_txt_mv |
Background: Cultivation of tobacco raises concerns about detrimental health and social consequences for youth, but tobacco producing countries only highlight economic benefits. We compared sociodemographic and health-related characteristics of school-age youth who worked and did not work in tobacco farming and assessed the effects on smoking behavior and health at 1 year. Methods: We used existing data collected in the province of Jujuy, Argentina where 3188 youth 13 to 17 years of age from a random middle school sample responded to longitudinal questionnaires in 2005 and 2006. Multivariate logistic regression models predicted association of tobacco farming work with health status and smoking behavior at 1 year. Results: 22.8% of youth in the tobacco growing areas of the province were involved in tobacco farming. The mean age of initiation to tobacco farming was 12.6 years. Youth working in farming had higher rates of fair or poor versus good or excellent self-perceived health (30.3% vs. 19.0%), having a serious injury (48.5% vs. 38.5%), being injured accidentally by someone else (7.5% vs. 4.6%), being assaulted (5.5% vs. 2.6%), and being poisoned by exposure to chemicals (2.5% vs. 0.7%). Youth working in tobacco farming also had higher prevalence of ever (67.9% vs. 55.2%), current (48.0% vs. 32.6%) and established smoking (17.8% vs. 9.9%). In multivariate logistic regression models tobacco farming in 2005 was associated with significant increased reporting of serious injury (OR = 1.4; 95%CI 1.1-2.0), accidental injury by someone else (OR = 1.5; 95% 1.0-2.1), assault (OR = 2.2; 95% CI 1.3-3.8), and poisoning by exposure to chemicals (OR = 2.5; 95% CI 1.2-5.4). Tobacco farming in 2005 predicted established smoking 1 year later (OR = 1.5; 95% CI 1.1-2.0). Conclusion: Youth who work in tobacco faming face a challenging burden of adversities that increase their vulnerability. Risk assessments should guide public policies to protect underage youth working in tobacco farming. (298 words). Fil: Alderete, Ethel del Carmen. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Unidad Ejecutora en Ciencias Sociales Regionales y Humanidades. Universidad Nacional de Jujuy. Unidad Ejecutora en Ciencias Sociales Regionales y Humanidades; Argentina Fil: Livaudais Toman, Jennifer. University of California; Estados Unidos Fil: Kaplan, Celia. University of California; Estados Unidos Fil: Gregorich, Steven E.. University of California; Estados Unidos Fil: Mejía, Raúl. Centro de Estudios de Estado y Sociedad; Argentina Fil: Pérez Stable, Eliseo J.. National Institutes of Health; Estados Unidos |
description |
Background: Cultivation of tobacco raises concerns about detrimental health and social consequences for youth, but tobacco producing countries only highlight economic benefits. We compared sociodemographic and health-related characteristics of school-age youth who worked and did not work in tobacco farming and assessed the effects on smoking behavior and health at 1 year. Methods: We used existing data collected in the province of Jujuy, Argentina where 3188 youth 13 to 17 years of age from a random middle school sample responded to longitudinal questionnaires in 2005 and 2006. Multivariate logistic regression models predicted association of tobacco farming work with health status and smoking behavior at 1 year. Results: 22.8% of youth in the tobacco growing areas of the province were involved in tobacco farming. The mean age of initiation to tobacco farming was 12.6 years. Youth working in farming had higher rates of fair or poor versus good or excellent self-perceived health (30.3% vs. 19.0%), having a serious injury (48.5% vs. 38.5%), being injured accidentally by someone else (7.5% vs. 4.6%), being assaulted (5.5% vs. 2.6%), and being poisoned by exposure to chemicals (2.5% vs. 0.7%). Youth working in tobacco farming also had higher prevalence of ever (67.9% vs. 55.2%), current (48.0% vs. 32.6%) and established smoking (17.8% vs. 9.9%). In multivariate logistic regression models tobacco farming in 2005 was associated with significant increased reporting of serious injury (OR = 1.4; 95%CI 1.1-2.0), accidental injury by someone else (OR = 1.5; 95% 1.0-2.1), assault (OR = 2.2; 95% CI 1.3-3.8), and poisoning by exposure to chemicals (OR = 2.5; 95% CI 1.2-5.4). Tobacco farming in 2005 predicted established smoking 1 year later (OR = 1.5; 95% CI 1.1-2.0). Conclusion: Youth who work in tobacco faming face a challenging burden of adversities that increase their vulnerability. Risk assessments should guide public policies to protect underage youth working in tobacco farming. (298 words). |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/144581 Alderete, Ethel del Carmen; Livaudais Toman, Jennifer; Kaplan, Celia; Gregorich, Steven E.; Mejía, Raúl; et al.; Youth working in tobacco farming: effects on smoking behavior and association with health status; BioMed Central; BMC Public Health; 20; 84; 1-2020; 1-9 1471-2458 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/144581 |
identifier_str_mv |
Alderete, Ethel del Carmen; Livaudais Toman, Jennifer; Kaplan, Celia; Gregorich, Steven E.; Mejía, Raúl; et al.; Youth working in tobacco farming: effects on smoking behavior and association with health status; BioMed Central; BMC Public Health; 20; 84; 1-2020; 1-9 1471-2458 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-020-8169-z info:eu-repo/semantics/altIdentifier/doi/10.1186/s12889-020-8169-z |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
BioMed Central |
publisher.none.fl_str_mv |
BioMed Central |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1842269611128520704 |
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13.13397 |