ArticleBMC public health2019
Evaluation of lifestyle of female adolescents through latent class analysis approach.
Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 37 citations in OpenAlex.
- Cardiometabolic Disease Risk Factors and Lifestyle Behaviors Among Adolescents: A Latent Class Analysis.Healthcare (Basel, Switzerland) · 2025Article
- Supportive care needs of parents caring for children with leukemia: a latent profile analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Identifying latent classes of physical activity profiles over time among adolescents in Ontario, Canada.BMC public health · 2024Article
- Latent classes of health-promoting lifestyle in breast cancer patients undergoing chemotherapy in China: A cross-sectional survey.Nursing open · 2024Article
- Patterns of unhealthy behaviours during adolescence and subsequent anxiety and depression in adulthood: a prospective register linkage study of the HUNT survey and health registries.The international journal of behavioral nutrition and physical activity · 2023Article
- Associations of Lifestyle Patterns With Overweight and Depressive Symptoms Among United States Emerging Adults With Different Employment Statuses.International journal of public health · 2023Article
- Study on the associations of physical activity types and cardiovascular diseases among Chinese population using latent class analysis method.Scientific reports · 2022Article
- Patterns of Lifestyle Behaviors and Relevant Metabolic Profiles in Chinese Adults: Latent Class Analysis from Two Independent Surveys in Urban and Rural Populations.Iranian journal of public health · 2022Article
- Ecological correlates related to adolescent movement behaviors: A latent class analysis.PloS one · 2022Article
- Adolescent's movement behaviors and built environment: a latent class analysis.BMC public health · 2021Article
- Clustering of multiple lifestyle behaviors among migrant, left-behind and local adolescents in China: a cross-sectional study.BMC public health · 2021Article
- Lifestyle Clusters and Cardiometabolic Risks in Adolescents: A Chinese School-Based Study Using a Latent Class Analysis Approach.Frontiers in pediatrics · 2021Article
- Article
- Body image disorders associated with lifestyle and body composition of female adolescents.Public health nutrition · 2021Article
- Association of Lifestyle and Body Composition on Risk Factors of Cardiometabolic Diseases and Biomarkers in Female Adolescents.Mediators of inflammation · 2020Article
- Article
- Abundance of Gut Microbiota, Concentration of Short-Chain Fatty Acids, and Inflammatory Markers Associated with Elevated Body Fat, Overweight, and Obesity in Female Adolescents.Mediators of inflammation · 2019Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
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-G
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.
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