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Evaluation of lifestyle of female adolescents through latent class analysis approach

BACKGROUND: Lack of regular physical activity, high sedentary behavior and presence of unbalanced alimentary practices are attitudes associated with an inadequate lifestyle among female adolescents. OBJECTIVE: to assess the lifestyle of female adolescents based on measurements of behavioral variable...

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Autores principales: Miranda, Valter Paulo Neves, dos Santos Amorim, Paulo Roberto, Bastos, Ronaldo Rocha, Souza, Vitor Gabriel Barra, de Faria, Eliane Rodrigues, do Carmo Castro Franceschini, Sylvia, Priore, Silvia Eloiza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373094/
https://www.ncbi.nlm.nih.gov/pubmed/30760240
http://dx.doi.org/10.1186/s12889-019-6488-8
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author Miranda, Valter Paulo Neves
dos Santos Amorim, Paulo Roberto
Bastos, Ronaldo Rocha
Souza, Vitor Gabriel Barra
de Faria, Eliane Rodrigues
do Carmo Castro Franceschini, Sylvia
Priore, Silvia Eloiza
author_facet Miranda, Valter Paulo Neves
dos Santos Amorim, Paulo Roberto
Bastos, Ronaldo Rocha
Souza, Vitor Gabriel Barra
de Faria, Eliane Rodrigues
do Carmo Castro Franceschini, Sylvia
Priore, Silvia Eloiza
author_sort Miranda, Valter Paulo Neves
collection PubMed
description BACKGROUND: Lack of regular physical activity, high sedentary behavior and presence of unbalanced alimentary practices are attitudes associated with an inadequate lifestyle among female adolescents. OBJECTIVE: to assess the lifestyle of female adolescents based on measurements of behavioral variables. METHODS: Cross-sectional study with 405 female adolescents between 14 and 19 years old, resident and attending public schools in Viçosa (state of Minas Gerais). Their lifestyle was analyzed by the Physical Activity Recall, number of steps, screen time (ST), cellphone time (CT), sitting time, food frequency questionnaire (FFQ), and alcohol and tobacco consumption. With multiple correspondence analysis it was possible to observe dispersion and approximation of the variables’ categories. Latent class analysis (LCA) was used for modeling the “lifestyle” variable, having been conducted in the poLCA (Polychromous Variable Latent Class Analysis) package of the R statistical software. RESULTS: The mean age was 15.92 ± 1.27 years. Most of the adolescents were considered physically inactive (78%) and with low number of steps (82.57%); 41.45% reported not performing Moderate to Vigorous Physical Activities (MVPA) adequately. Sedentary behavior was found high when assessing ST (72.90%) and CT (65.31%). It was found the best fitted latent class model for the lifestyle (p-G(2) = 0.055, p-χ(2) = 0.066) featured three latent classes and one covariate (alcohol): Class 1, ‘Inactive and Sedentary’ (γ = 77.5%); Class 2, ‘Inactive and Non-sedentary lifestyle (γ=16.31%); and Class 3, ‘Active and sedentary’ (γ=6.19%). Female adolescents that had ‘never consumed alcohol’ were 2.26 times as likely (log OR = 0.8174; p = 0.033) to belong to class 3 (Active & Sedentary lifestyle) than to class 1 (Inactive & Sedentary lifestyle). CONCLUSION: Latent class analysis model with five manifest variable (MVPA, number of steps, ST, sitting time and number of meals) and alcohol consumption like covariate showed itself to be an accurate and objective method in the assessment of female adolescents’ lifestyle. Female adolescents that had ‘never consumed alcohol’ were more as likely to belong to class ‘Active & Sedentary lifestyle’ than to class Inactive & Sedentary lifestyle. An inactive and sedentary lifestyle is coupled to other unhealthy behaviors during adolescence, possibly carrying over into adult life.
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spelling pubmed-63730942019-02-25 Evaluation of lifestyle of female adolescents through latent class analysis approach Miranda, Valter Paulo Neves dos Santos Amorim, Paulo Roberto Bastos, Ronaldo Rocha Souza, Vitor Gabriel Barra de Faria, Eliane Rodrigues do Carmo Castro Franceschini, Sylvia Priore, Silvia Eloiza BMC Public Health Research Article BACKGROUND: Lack of regular physical activity, high sedentary behavior and presence of unbalanced alimentary practices are attitudes associated with an inadequate lifestyle among female adolescents. OBJECTIVE: to assess the lifestyle of female adolescents based on measurements of behavioral variables. METHODS: Cross-sectional study with 405 female adolescents between 14 and 19 years old, resident and attending public schools in Viçosa (state of Minas Gerais). Their lifestyle was analyzed by the Physical Activity Recall, number of steps, screen time (ST), cellphone time (CT), sitting time, food frequency questionnaire (FFQ), and alcohol and tobacco consumption. With multiple correspondence analysis it was possible to observe dispersion and approximation of the variables’ categories. Latent class analysis (LCA) was used for modeling the “lifestyle” variable, having been conducted in the poLCA (Polychromous Variable Latent Class Analysis) package of the R statistical software. RESULTS: The mean age was 15.92 ± 1.27 years. Most of the adolescents were considered physically inactive (78%) and with low number of steps (82.57%); 41.45% reported not performing Moderate to Vigorous Physical Activities (MVPA) adequately. Sedentary behavior was found high when assessing ST (72.90%) and CT (65.31%). It was found the best fitted latent class model for the lifestyle (p-G(2) = 0.055, p-χ(2) = 0.066) featured three latent classes and one covariate (alcohol): Class 1, ‘Inactive and Sedentary’ (γ = 77.5%); Class 2, ‘Inactive and Non-sedentary lifestyle (γ=16.31%); and Class 3, ‘Active and sedentary’ (γ=6.19%). Female adolescents that had ‘never consumed alcohol’ were 2.26 times as likely (log OR = 0.8174; p = 0.033) to belong to class 3 (Active & Sedentary lifestyle) than to class 1 (Inactive & Sedentary lifestyle). CONCLUSION: Latent class analysis model with five manifest variable (MVPA, number of steps, ST, sitting time and number of meals) and alcohol consumption like covariate showed itself to be an accurate and objective method in the assessment of female adolescents’ lifestyle. Female adolescents that had ‘never consumed alcohol’ were more as likely to belong to class ‘Active & Sedentary lifestyle’ than to class Inactive & Sedentary lifestyle. An inactive and sedentary lifestyle is coupled to other unhealthy behaviors during adolescence, possibly carrying over into adult life. BioMed Central 2019-02-13 /pmc/articles/PMC6373094/ /pubmed/30760240 http://dx.doi.org/10.1186/s12889-019-6488-8 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Miranda, Valter Paulo Neves
dos Santos Amorim, Paulo Roberto
Bastos, Ronaldo Rocha
Souza, Vitor Gabriel Barra
de Faria, Eliane Rodrigues
do Carmo Castro Franceschini, Sylvia
Priore, Silvia Eloiza
Evaluation of lifestyle of female adolescents through latent class analysis approach
title Evaluation of lifestyle of female adolescents through latent class analysis approach
title_full Evaluation of lifestyle of female adolescents through latent class analysis approach
title_fullStr Evaluation of lifestyle of female adolescents through latent class analysis approach
title_full_unstemmed Evaluation of lifestyle of female adolescents through latent class analysis approach
title_short Evaluation of lifestyle of female adolescents through latent class analysis approach
title_sort evaluation of lifestyle of female adolescents through latent class analysis approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373094/
https://www.ncbi.nlm.nih.gov/pubmed/30760240
http://dx.doi.org/10.1186/s12889-019-6488-8
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