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Physical activity trajectories from childhood to late adolescence and their implications for health in young adulthood.
Howie, E K; McVeigh, J A; Smith, A J; Zabatiero, J; Bucks, R S; Mori, T A; Beilin, L J; Straker, L M.
Afiliação
  • Howie EK; Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, AR, USA; School of Physiotherapy and Exercise Science, Curtin University, Perth, Western Australia, Australia. Electronic address: ekhowie@uark.edu.
  • McVeigh JA; School of Occupational Therapy, Speech Therapy & Social Work, Curtin University, Perth, Western Australia, Australia.
  • Smith AJ; School of Physiotherapy and Exercise Science, Curtin University, Perth, Western Australia, Australia.
  • Zabatiero J; School of Physiotherapy and Exercise Science, Curtin University, Perth, Western Australia, Australia.
  • Bucks RS; School of Psychological Science, University of Western Australia, Perth, Western Australia, Australia.
  • Mori TA; Medical School, Royal Perth Hospital Unit, University of Western Australia, Perth, Western Australia, Australia.
  • Beilin LJ; Medical School, Royal Perth Hospital Unit, University of Western Australia, Perth, Western Australia, Australia.
  • Straker LM; School of Physiotherapy and Exercise Science, Curtin University, Perth, Western Australia, Australia.
Prev Med ; 139: 106224, 2020 10.
Article em En | MEDLINE | ID: mdl-32735989
Physical activity has been associated with physical and mental health across the life course, yet few studies have used group-based trajectory modeling to examine the effect of longitudinal patterns of physical activity during childhood and adolescence on adult health outcomes. The Raine Study data from Gen2 follow-ups at 8, 10, 14, 17, 20, and 22 years collected between 1998 and 2014 were used. Latent class analysis identified trajectories using parent-reported physical activity for ages 8 to 17. Associations between trajectories and physical and mental health outcomes at ages 20 and 22 were explored, adjusting for current physical activity and considering sex interactions. Analysis in 2019 identified three trajectories: low (13%), mid (65%) and high (22%) physical activity (n = 1628). Compared to the low-activity trajectory, those in the high-activity trajectory had lower adiposity, insulin, HOMA-IR and fewer diagnosed disorders, higher HDL-cholesterol, and faster cognitive processing. For example, those in the high-activity trajectory had lower percent body fat at age 20 compared to those in the mid-activity (-4.2%, 95%CI: -5.8, -2.7) and low-activity (-9.5%, 95%CI: -11.7, -7.2) trajectories. Physical activity trajectories showed different associations between sexes for self-reported physical and mental health, BMI, systolic blood pressure, and depression symptoms. Being in the high- or mid-activity trajectory was associated with a more favorable cardiometabolic and mental health profile in young adulthood. Strategies are needed to help less active children to increase physical activity throughout childhood and adolescence to improve young adult health outcomes.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Exercício Físico / Adiposidade Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Child / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Exercício Físico / Adiposidade Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Child / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article