RESUMOObjetivos: Verificar a prevalência de insatisfação corporal em universitários de diferentes áreas de conhecimento, bem como a relação com sexo e com estado nutricional. Méto-dos: A amostra foi composta por universitários da Universidade Federal de Juiz de Fora (UFJF) de diferentes áreas de conhecimento. O Body Shape Questionnaire (BSQ) e a Escala de Silhuetas para adultos avaliaram a insatisfação corporal. Massa corporal e estatura autorreferidas foram utilizadas para o cálculo do índice de massa corporal (IMC). Para as aná-lises estatísticas, foram realizados testes de associação, comparação e regressão logística. Resultados: Dos 535 estudantes, com média de idade de 20,82 ± 3,03 anos, 245 eram do sexo masculino. A média do BSQ foi de 68,00 ± 28,74, sendo 88,9% livres de insatisfação. Porém, pela escala de silhuetas, 76,6% foram considerados insatisfeitos. Os estudantes da área de saúde e humanas foram, sem significância, mais insatisfeitos que alunos de exatas. As mulheres em relação aos homens (p < 0,05) e aqueles com sobrepeso/obesidade (OR: 3,174; p = 0,000) tiveram a maior frequência na classificação de insatisfação corporal. Conclusão: A maioria dos jovens mostrou-se livre de insatisfação corporal, não havendo relação com a área de estudo, porém as universitárias com IMC mais elevado apresentaram-se mais insatisfeitas com sua imagem corporal. ABSTRACT Objectives:To check the prevalence of body dissatisfaction in college students of different majors, as well as the relationship with gender and nutritional status. Methods: The sample was composed of college students from the Federal University of Juiz de Fora (UFJF) of several different majors. The Body Shape Questionnaire (BSQ) and the Silhouette Scale for Adults assessed body dissatisfaction. Self-referred body mass and height were used to calculate the body mass index (BMI). For the statistical analysis, association, comparison, and logistic regression tests were performed. Results: Among the 535 students, with average age of 20.82 ± 3.03 years old, 245 were male. The BSQ average score was 68.00 ± 28.74, being 88.9% of the subjects free from dissatisfaction. Nevertheless, according to the silhouette scale, 76.6% were found to be dissatisfied. The students of Life Sciences and Humanities were, insignificantly, more dissatisfied than the Exact Sciences students. Women, when compared to men (p < 0.05) and those overweight/obese (OR: 3.174; p = 0.000)
BackgroundLack of regular physical activity, high sedentary behavior and presence of unbalanced alimentary practices are attitudes associated with an inadequate lifestyle among female adolescents.Objectiveto assess the lifestyle of female adolescents based on measurements of behavioral variables.MethodsCross-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.ResultsThe 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).ConclusionLatent 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.
Latent Class Analysis can assist researchers interested in a better understanding of behavioral patterns and their association with health outcomes. This study aimed to identify lifestyle latent classes related to distinct domains of physical activity (PA) and sedentary behavior (SB) among adolescents and their association with health outcomes. This crosssectional study included 217 Brazilian adolescents (15 to 18 years old, 49.3% female). The classes were based on moderate-to-vigorous physical activity (MVPA), light physical activity (LPA), number of steps, sedentary behavior (SB), and screen time (ST). To assess these behaviors, participants wore an accelerometer for one week. ST, demographic characteristics, socioeconomic status, and signs of common mental disorders (CMD) were evaluated through questionnaires. Latent Class Analysis was used to identify lifestyle classes. Three classes were recognized: "Active-Non-sedentary" (class 1) with 28.1% of adolescents; "Inactive-Non-sedentary" (class 2), 48.85%; and "Inactive-Sedentary" (class 3), 23.04%. Sex and signs of CMD were associated with the prevalence of the classes. Female adolescents presented 4.48 (95% CI 2.04-9.77) times more chance of belonging to the "Inactive-Sedentary" (class 3). Adolescents who presented CMD had 11.35 (95% CI 3.45-101.1) times more chance of belonging to the "Inactive-Non-sedentary" (class 2). The interaction between sex and signs of CMD showed that girls with signs of CMD were 9.20 (95% CI 1.17-71.52) more likely to belong to the Inactive-Sedentary class than the "Active-Nonsedentary". Results indicate that sex and signs of CMD can affect the prevalence of the classes. Our findings highlight that physical inactivity and SB can be associated with signs of CMD, especially in female adolescents.
This study compared body image concerns among adolescents from different geographic locations in Brazil, and the influence of sex and nutritional status. Seven hundred eighty-eight adolescents completed the Body Shape Questionnaire (BSQ) and had their weight and height measured. There were significant cross-regional differences in BSQ scores. Also, body image concerns were more prevalent among girls and among overweight adolescents. It is suggested that sex and nutritional status may play an important role in body image concerns, which is more common between adolescents from urban areas. Furthermore, our findings contribute to the literature by examining patterns of body image concerns within subgroups of adolescents who have received little research attention on these issues.
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