Evaluation of lifestyle of female adolescents through latent class analysis approach

dc.contributor.authorMiranda, Valter Paulo Neves
dc.contributor.authorAmorim, Paulo Roberto dos Santos
dc.contributor.authorBastos, Ronaldo Rocha
dc.contributor.authorSouza, Vitor Gabriel Barra
dc.contributor.authorFaria, Eliane Rodrigues de
dc.contributor.authorFranceschini, Sylvia do Carmo Castro
dc.contributor.authorPriore, Silvia Eloiza
dc.date.accessioned2019-03-15T14:25:21Z
dc.date.available2019-03-15T14:25:21Z
dc.date.issued2019
dc.description.abstractLack of regular physical activity, high sedentary behavior and presence of unbalanced alimentary practices are attitudes associated with an inadequate lifestyle among female adolescents.To assess the lifestyle of female adolescents based on measurements of behavioral variables.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.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-G2 = 0.055, p-χ2 = 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).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.en
dc.formatpdfpt-BR
dc.identifier.issn1471-2458
dc.identifier.urihttps://doi.org/10.1186/s12889-019-6488-8
dc.identifier.urihttp://www.locus.ufv.br/handle/123456789/23969
dc.language.isoengpt-BR
dc.publisherBMC Public Healthpt-BR
dc.relation.ispartofseriesv. 19, n. 184, p. 1- 12, 2019pt-BR
dc.rightsOpen Accesspt-BR
dc.subjectLifestylept-BR
dc.subjectAdolescentspt-BR
dc.subjectLatent class analysispt-BR
dc.subjectCluster analysispt-BR
dc.subjectPhysical activitypt-BR
dc.subjectSedentary behaviorpt-BR
dc.titleEvaluation of lifestyle of female adolescents through latent class analysis approachen
dc.typeArtigopt-BR

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