Multinomial model and zero-inflated gamma model to study time spent on leisure time physical activity: an example of ELSA-Brasil

Detalhes bibliográficos
Autor(a) principal: Nobre, Aline Araújo
Data de Publicação: 2017
Outros Autores: Carvalho, Marilia Sá, Griep, Rosane Härter, Fonseca, Maria de Jesus Mendes da, Melo, Enirtes Caetano Prates, Santos, Itamar de Souza, Chor, Dora
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Saúde Pública
Texto Completo: https://www.revistas.usp.br/rsp/article/view/138333
Resumo: OBJECTIVE To compare two methodological approaches: the multinomial model and the zero-inflated gamma model, evaluating the factors associated with the practice and amount of time spent on leisure time physical activity. METHODS Data collected from 14,823 baseline participants in the Longitudinal Study of Adult Health (ELSA-Brasil – Estudo Longitudinal de Saúde do Adulto ) have been analysed. Regular leisure time physical activity has been measured using the leisure time physical activity module of the International Physical Activity Questionnaire. The explanatory variables considered were gender, age, education level, and annual per capita family income. RESULTS The main advantage of the zero-inflated gamma model over the multinomial model is that it estimates mean time (minutes per week) spent on leisure time physical activity. For example, on average, men spent 28 minutes/week longer on leisure time physical activity than women did. The most sedentary groups were young women with low education level and income CONCLUSIONS The zero-inflated gamma model, which is rarely used in epidemiological studies, can give more appropriate answers in several situations. In our case, we have obtained important information on the main determinants of the duration of leisure time physical activity. This information can help guide efforts towards the most vulnerable groups since physical inactivity is associated with different diseases and even premature death.
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spelling Multinomial model and zero-inflated gamma model to study time spent on leisure time physical activity: an example of ELSA-BrasilMotor ActivityLeisure ActivitiesRegression AnalysisModelsStatistical OBJECTIVE To compare two methodological approaches: the multinomial model and the zero-inflated gamma model, evaluating the factors associated with the practice and amount of time spent on leisure time physical activity. METHODS Data collected from 14,823 baseline participants in the Longitudinal Study of Adult Health (ELSA-Brasil – Estudo Longitudinal de Saúde do Adulto ) have been analysed. Regular leisure time physical activity has been measured using the leisure time physical activity module of the International Physical Activity Questionnaire. The explanatory variables considered were gender, age, education level, and annual per capita family income. RESULTS The main advantage of the zero-inflated gamma model over the multinomial model is that it estimates mean time (minutes per week) spent on leisure time physical activity. For example, on average, men spent 28 minutes/week longer on leisure time physical activity than women did. The most sedentary groups were young women with low education level and income CONCLUSIONS The zero-inflated gamma model, which is rarely used in epidemiological studies, can give more appropriate answers in several situations. In our case, we have obtained important information on the main determinants of the duration of leisure time physical activity. This information can help guide efforts towards the most vulnerable groups since physical inactivity is associated with different diseases and even premature death.Universidade de São Paulo. Faculdade de Saúde Pública2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/rsp/article/view/13833310.11606/s1518-8787.2017051006882Revista de Saúde Pública; Vol. 51 (2017); 76Revista de Saúde Pública; Vol. 51 (2017); 76Revista de Saúde Pública; v. 51 (2017); 761518-87870034-8910reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/rsp/article/view/138333/133811Copyright (c) 2017 Revista de Saúde Públicainfo:eu-repo/semantics/openAccessNobre, Aline AraújoCarvalho, Marilia SáGriep, Rosane HärterFonseca, Maria de Jesus Mendes daMelo, Enirtes Caetano PratesSantos, Itamar de SouzaChor, Dora2017-12-14T10:16:03Zoai:revistas.usp.br:article/138333Revistahttps://www.revistas.usp.br/rsp/indexONGhttps://www.revistas.usp.br/rsp/oairevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2017-12-14T10:16:03Revista de Saúde Pública - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Multinomial model and zero-inflated gamma model to study time spent on leisure time physical activity: an example of ELSA-Brasil
title Multinomial model and zero-inflated gamma model to study time spent on leisure time physical activity: an example of ELSA-Brasil
spellingShingle Multinomial model and zero-inflated gamma model to study time spent on leisure time physical activity: an example of ELSA-Brasil
Nobre, Aline Araújo
Motor Activity
Leisure Activities
Regression Analysis
Models
Statistical
title_short Multinomial model and zero-inflated gamma model to study time spent on leisure time physical activity: an example of ELSA-Brasil
title_full Multinomial model and zero-inflated gamma model to study time spent on leisure time physical activity: an example of ELSA-Brasil
title_fullStr Multinomial model and zero-inflated gamma model to study time spent on leisure time physical activity: an example of ELSA-Brasil
title_full_unstemmed Multinomial model and zero-inflated gamma model to study time spent on leisure time physical activity: an example of ELSA-Brasil
title_sort Multinomial model and zero-inflated gamma model to study time spent on leisure time physical activity: an example of ELSA-Brasil
author Nobre, Aline Araújo
author_facet Nobre, Aline Araújo
Carvalho, Marilia Sá
Griep, Rosane Härter
Fonseca, Maria de Jesus Mendes da
Melo, Enirtes Caetano Prates
Santos, Itamar de Souza
Chor, Dora
author_role author
author2 Carvalho, Marilia Sá
Griep, Rosane Härter
Fonseca, Maria de Jesus Mendes da
Melo, Enirtes Caetano Prates
Santos, Itamar de Souza
Chor, Dora
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Nobre, Aline Araújo
Carvalho, Marilia Sá
Griep, Rosane Härter
Fonseca, Maria de Jesus Mendes da
Melo, Enirtes Caetano Prates
Santos, Itamar de Souza
Chor, Dora
dc.subject.por.fl_str_mv Motor Activity
Leisure Activities
Regression Analysis
Models
Statistical
topic Motor Activity
Leisure Activities
Regression Analysis
Models
Statistical
description OBJECTIVE To compare two methodological approaches: the multinomial model and the zero-inflated gamma model, evaluating the factors associated with the practice and amount of time spent on leisure time physical activity. METHODS Data collected from 14,823 baseline participants in the Longitudinal Study of Adult Health (ELSA-Brasil – Estudo Longitudinal de Saúde do Adulto ) have been analysed. Regular leisure time physical activity has been measured using the leisure time physical activity module of the International Physical Activity Questionnaire. The explanatory variables considered were gender, age, education level, and annual per capita family income. RESULTS The main advantage of the zero-inflated gamma model over the multinomial model is that it estimates mean time (minutes per week) spent on leisure time physical activity. For example, on average, men spent 28 minutes/week longer on leisure time physical activity than women did. The most sedentary groups were young women with low education level and income CONCLUSIONS The zero-inflated gamma model, which is rarely used in epidemiological studies, can give more appropriate answers in several situations. In our case, we have obtained important information on the main determinants of the duration of leisure time physical activity. This information can help guide efforts towards the most vulnerable groups since physical inactivity is associated with different diseases and even premature death.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/rsp/article/view/138333
10.11606/s1518-8787.2017051006882
url https://www.revistas.usp.br/rsp/article/view/138333
identifier_str_mv 10.11606/s1518-8787.2017051006882
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/rsp/article/view/138333/133811
dc.rights.driver.fl_str_mv Copyright (c) 2017 Revista de Saúde Pública
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Revista de Saúde Pública
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Faculdade de Saúde Pública
publisher.none.fl_str_mv Universidade de São Paulo. Faculdade de Saúde Pública
dc.source.none.fl_str_mv Revista de Saúde Pública; Vol. 51 (2017); 76
Revista de Saúde Pública; Vol. 51 (2017); 76
Revista de Saúde Pública; v. 51 (2017); 76
1518-8787
0034-8910
reponame:Revista de Saúde Pública
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Revista de Saúde Pública
collection Revista de Saúde Pública
repository.name.fl_str_mv Revista de Saúde Pública - Universidade de São Paulo (USP)
repository.mail.fl_str_mv revsp@org.usp.br||revsp1@usp.br
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