TY - JOUR
T1 - Clusters of non-dietary obesogenic behaviors among adolescents in Brazil
T2 - a latent profile analysis
AU - Tassitano, Rafael M.
AU - Weaver, Robert G.
AU - Tenório, Maria Cecília M.
AU - Brazendale, Keith
AU - Beets, Michael W.
N1 - Publisher Copyright:
© 2020, Swiss School of Public Health (SSPH+).
PY - 2020/7/1
Y1 - 2020/7/1
N2 - Objectives: To identify patterns of non-dietary obesogenic behaviors, and social and environmental factors associated with overweight and obesity (OWOB). Methods: A representative sample (n = 5520) of high school students (55.4% girls, 16.3 ± 1.0 years) from Pernambuco State, Brazil. Latent profile analyses were performed using self-reported daily sleep duration, television use, computer use, videogame use, seated time during the week and weekend days, physical activity, and active commuting to school during the week. Social and environmental factors and body mass index were included to identify classes. Multinomial analysis explored differences in social, environmental factors, and BMI by classes. Results: Five patterns were identified [Computer users (C1), Short sleepers (C2), Typical behaviors (C3), Techno-active-gamers (C4), and Lower screen engagement (C5)]. Three groups (C1, C3 and C4) included students from better social conditions and a more urbanized environments. The prevalence of OWOB was higher in C1 (34.5%; 95% CI 31.1–38.0) and in C2 (29.7%; 95% CI 26.1–33.5) compared to C5 (23.3% 95% CI 21.3–25.3). Conclusions: In one of the poorest regions of Brazil, different groups of social/environmental factors and behavior patterns emerged associated with OWOB.
AB - Objectives: To identify patterns of non-dietary obesogenic behaviors, and social and environmental factors associated with overweight and obesity (OWOB). Methods: A representative sample (n = 5520) of high school students (55.4% girls, 16.3 ± 1.0 years) from Pernambuco State, Brazil. Latent profile analyses were performed using self-reported daily sleep duration, television use, computer use, videogame use, seated time during the week and weekend days, physical activity, and active commuting to school during the week. Social and environmental factors and body mass index were included to identify classes. Multinomial analysis explored differences in social, environmental factors, and BMI by classes. Results: Five patterns were identified [Computer users (C1), Short sleepers (C2), Typical behaviors (C3), Techno-active-gamers (C4), and Lower screen engagement (C5)]. Three groups (C1, C3 and C4) included students from better social conditions and a more urbanized environments. The prevalence of OWOB was higher in C1 (34.5%; 95% CI 31.1–38.0) and in C2 (29.7%; 95% CI 26.1–33.5) compared to C5 (23.3% 95% CI 21.3–25.3). Conclusions: In one of the poorest regions of Brazil, different groups of social/environmental factors and behavior patterns emerged associated with OWOB.
KW - Adolescent
KW - Behavior
KW - Obesity
KW - Public health
KW - Socioeconomic risk factors
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U2 - 10.1007/s00038-020-01418-y
DO - 10.1007/s00038-020-01418-y
M3 - Article
C2 - 32632457
AN - SCOPUS:85087567001
SN - 1661-8556
VL - 65
SP - 881
EP - 891
JO - International Journal of Public Health
JF - International Journal of Public Health
IS - 6
ER -