ArticlePloS one2020
Behavioral classes related to physical activity and sedentary behavior on the evaluation of health and mental outcomes among Brazilian adolescents.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.
- The associations between screen time and mental health in adolescents: a systematic review.BMC psychology · 2023Pooled it
- Combinations of Physical Activity, Sedentary Behavior, and Sleep Duration and Their Associations With Physical, Psychological, and Educational Outcomes in Children and Adolescents: A Systematic Review.American journal of epidemiology · 2023Pooled it
- Physical Activity-Sedentary Behaviour Profiles and Co-Occurring Lifestyle Behaviours Among Adolescents: A Person-Oriented Analysis.Nutrients · 2026Article
- Cardiometabolic Disease Risk Factors and Lifestyle Behaviors Among Adolescents: A Latent Class Analysis.Healthcare (Basel, Switzerland) · 2025Article
- Patterns of physical activity and sedentary behavior among Brazilian schoolchildren: analysis based on types of behavior.BMC pediatrics · 2025Article
- Association between changes in adherence to the 24-hour movement guidelines with depression and anxiety symptoms among Chinese adolescents: a prospective population-based study.Child and adolescent psychiatry and mental health · 2024Article
- A systematic scoping review of latent class analysis applied to accelerometry-assessed physical activity and sedentary behavior.PloS one · 2024Article
- Article
- Clustering of Activity-Related Behaviors in Relation to Self-Reported Causes of Stress among Pre-Adolescents: Results from a National Epidemiological Study.Life (Basel, Switzerland) · 2023Article
- Children's oral health-related behaviours and early childhood caries: A latent class analysis.Community dentistry and oral epidemiology · 2022Article
- Depressive Symptoms and Their Associated Factors in Vocational-Technical School Students during the COVID-19 Pandemic.International journal of environmental research and public health · 2022Article
- Investigation and Countermeasures on Mental Health Status of Applied Fresh Graduates from the Perspective of Psychological Capital.Computational and mathematical methods in medicine · 2022Article
- Ecological correlates related to adolescent movement behaviors: A latent class analysis.PloS one · 2022Article
- Time-use movement behaviors are associated with scores of depression/anxiety among adolescents: A compositional data analysis.PloS one · 2022Article
- Article
- Adolescent's movement behaviors and built environment: a latent class analysis.BMC public health · 2021Article
- Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 cross-sectional 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-Non-sedentary". 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.
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