Association of mentally-passive and mentally-active sedentary behaviors with device-measured bouts and breaks of sedentary time in adolescents

Autor(es)

Werneck, Andre O. ^[1] ; Romanzini, Marcelo ^[2] ; Silva, Danilo R. ^[3] ; Oyeyemi, Adewale L. ^[4] ; Bueno, Maria R. ^[2] ; Ronque, V, Enio R.

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Sch Publ Hlth, Dept Nutr, Sao Paulo - Brazil

^[2] V, Univ Estadual Londrina, Dept Phys Educ, Phys Act & Hlth Lab, Londrina, Parana - Brazil

^[3] Univ Fed Sergipe UFS, Dept Phys Educ, Sao Cristovao - Brazil

^[4] Univ Maiduguri, Coll Med Sci, Dept Physiotherapy, Maiduguri, Borno State - Nigeria

• Tipo de documento: Artigo Científico
• Fonte: HEALTH PROMOTION PERSPECTIVES; v. 11, n. 1, p. 109-114, 2021.
• Citações Web of Science: 0

Resumo

Background: Our aim was to analyze the association of self-reported mentally-passive and mentally-active sedentary behaviors with different patterns (bouts and breaks) of device-measured sedentary time in adolescents. Methods:This was a cross-sectional study conducted among 375 adolescents (177 boys) aged 10-15 years. Total time, bouts and breaks of sedentary time were measured through accelerometers. Self-reported sedentary behavior in different activities was summed and divided into mentally-active (playing electronic games, studying and reading) and mentally-passive (watching IV, watching DVD, and using computer for leisure). Bayesian linear regression models were used for association analyses. Results: Only mentally-passive sedentary behaviors were positively associated with longer bouts {[}1-4 minutes: mean posterior distribution: -0.431 (95% credible interval: -0.745 to -0.114); >= 15 minutes: 0.641 (0.122 to 1.222)] and lower number of breaks {[}-0.138 (-0.228 to -0.044)] of device-measured sedentary time. Conclusion: Self-reported mentally-passive sedentary behaviors are associated with longer bouts and lower breaks of device-measured sedentary time. (AU)

• Processo FAPESP: 19/24124-7 - Associação prospectiva do consumo de alimentos ultraprocessados e inatividade física na predição de sintomas depressivos em adultos
• Beneficiário: André de Oliveira Werneck
• Modalidade de apoio: Bolsas no Brasil - Doutorado