Application of a Latent Transition Model to Estimate the Usual Prevalence of Dietary Patterns

Detalhes bibliográficos
Autor(a) principal: Oliveira A
Data de Publicação: 2021
Outros Autores: Lopes C, Torres, Duarte, Ramos E, Severo M
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/135367
Resumo: Background: This study aims to derive habitual dietary patterns of the Portuguese adult population by applying two methodological approaches: a latent class model and a latent transition model. The novel application of the latent transition model allows us to determine the day-to-day variability of diet and to calculate the usual prevalence of dietary patterns. Methods: Participants are from the National Food, Nutrition and Physical Activity Survey of the Portuguese population, 2015-2016 (2029 women; 1820 men, aged >= 18 years). Diet was collected by two 24 h dietary recalls (8-15 days apart). Dietary patterns were derived by: (1) a latent class model using the arithmetic mean of food weigh intake, with concomitant variables (age and sex); (2) a latent transition model allowing the transition from one pattern to another, with the same concomitant variables. Results: Six dietary patterns were identified by a latent class model. By using a latent transition model, three dietary patterns were identified: "In-transition to Western" (higher red meat and alcohol intake; followed by middle-aged men), "Western" (higher meats/eggs and energy-dense foods intake; followed by younger men), and "Traditional-Healthier" (higher intake of fruit, vegetables and fish, characteristic of older women). Most individuals followed the same pattern on both days, but around 26% transited between "In-transition to Western" and "Western". The prevalence of the dietary patterns using a single recall day (40%, 27%, 33%, respectively) is different from the usual prevalence obtained by the latent transition probabilities (48%, 36%, 16%). Conclusion: Three dietary patterns, largely dependent on age and sex, were identified for the Portuguese adult population: "In-transition to Western" (48%), "Western" (36%), and "Traditional-Healthier" (16%), but 26% were transient between patterns. Dietary patterns are, in general, deviating from traditional habits.
id RCAP_06f257e566bd9a15678849d139739aab
oai_identifier_str oai:repositorio-aberto.up.pt:10216/135367
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Application of a Latent Transition Model to Estimate the Usual Prevalence of Dietary PatternsCiências da Saúde, Ciências médicas e da saúdeHealth sciences, Medical and Health sciencesBackground: This study aims to derive habitual dietary patterns of the Portuguese adult population by applying two methodological approaches: a latent class model and a latent transition model. The novel application of the latent transition model allows us to determine the day-to-day variability of diet and to calculate the usual prevalence of dietary patterns. Methods: Participants are from the National Food, Nutrition and Physical Activity Survey of the Portuguese population, 2015-2016 (2029 women; 1820 men, aged >= 18 years). Diet was collected by two 24 h dietary recalls (8-15 days apart). Dietary patterns were derived by: (1) a latent class model using the arithmetic mean of food weigh intake, with concomitant variables (age and sex); (2) a latent transition model allowing the transition from one pattern to another, with the same concomitant variables. Results: Six dietary patterns were identified by a latent class model. By using a latent transition model, three dietary patterns were identified: "In-transition to Western" (higher red meat and alcohol intake; followed by middle-aged men), "Western" (higher meats/eggs and energy-dense foods intake; followed by younger men), and "Traditional-Healthier" (higher intake of fruit, vegetables and fish, characteristic of older women). Most individuals followed the same pattern on both days, but around 26% transited between "In-transition to Western" and "Western". The prevalence of the dietary patterns using a single recall day (40%, 27%, 33%, respectively) is different from the usual prevalence obtained by the latent transition probabilities (48%, 36%, 16%). Conclusion: Three dietary patterns, largely dependent on age and sex, were identified for the Portuguese adult population: "In-transition to Western" (48%), "Western" (36%), and "Traditional-Healthier" (16%), but 26% were transient between patterns. Dietary patterns are, in general, deviating from traditional habits.20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/135367eng2072-664310.3390/nu13010133Oliveira ALopes CTorres, DuarteRamos ESevero Minfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T13:13:27Zoai:repositorio-aberto.up.pt:10216/135367Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:36:10.168153Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Application of a Latent Transition Model to Estimate the Usual Prevalence of Dietary Patterns
title Application of a Latent Transition Model to Estimate the Usual Prevalence of Dietary Patterns
spellingShingle Application of a Latent Transition Model to Estimate the Usual Prevalence of Dietary Patterns
Oliveira A
Ciências da Saúde, Ciências médicas e da saúde
Health sciences, Medical and Health sciences
title_short Application of a Latent Transition Model to Estimate the Usual Prevalence of Dietary Patterns
title_full Application of a Latent Transition Model to Estimate the Usual Prevalence of Dietary Patterns
title_fullStr Application of a Latent Transition Model to Estimate the Usual Prevalence of Dietary Patterns
title_full_unstemmed Application of a Latent Transition Model to Estimate the Usual Prevalence of Dietary Patterns
title_sort Application of a Latent Transition Model to Estimate the Usual Prevalence of Dietary Patterns
author Oliveira A
author_facet Oliveira A
Lopes C
Torres, Duarte
Ramos E
Severo M
author_role author
author2 Lopes C
Torres, Duarte
Ramos E
Severo M
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Oliveira A
Lopes C
Torres, Duarte
Ramos E
Severo M
dc.subject.por.fl_str_mv Ciências da Saúde, Ciências médicas e da saúde
Health sciences, Medical and Health sciences
topic Ciências da Saúde, Ciências médicas e da saúde
Health sciences, Medical and Health sciences
description Background: This study aims to derive habitual dietary patterns of the Portuguese adult population by applying two methodological approaches: a latent class model and a latent transition model. The novel application of the latent transition model allows us to determine the day-to-day variability of diet and to calculate the usual prevalence of dietary patterns. Methods: Participants are from the National Food, Nutrition and Physical Activity Survey of the Portuguese population, 2015-2016 (2029 women; 1820 men, aged >= 18 years). Diet was collected by two 24 h dietary recalls (8-15 days apart). Dietary patterns were derived by: (1) a latent class model using the arithmetic mean of food weigh intake, with concomitant variables (age and sex); (2) a latent transition model allowing the transition from one pattern to another, with the same concomitant variables. Results: Six dietary patterns were identified by a latent class model. By using a latent transition model, three dietary patterns were identified: "In-transition to Western" (higher red meat and alcohol intake; followed by middle-aged men), "Western" (higher meats/eggs and energy-dense foods intake; followed by younger men), and "Traditional-Healthier" (higher intake of fruit, vegetables and fish, characteristic of older women). Most individuals followed the same pattern on both days, but around 26% transited between "In-transition to Western" and "Western". The prevalence of the dietary patterns using a single recall day (40%, 27%, 33%, respectively) is different from the usual prevalence obtained by the latent transition probabilities (48%, 36%, 16%). Conclusion: Three dietary patterns, largely dependent on age and sex, were identified for the Portuguese adult population: "In-transition to Western" (48%), "Western" (36%), and "Traditional-Healthier" (16%), but 26% were transient between patterns. Dietary patterns are, in general, deviating from traditional habits.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/135367
url https://hdl.handle.net/10216/135367
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2072-6643
10.3390/nu13010133
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.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799135674083835904