Literature DB >> 33259826

Identifying patterns of movement behaviours in relation to depressive symptoms during adolescence: A latent profile analysis approach.

Denver M Y Brown1, Matthew Y Kwan2, Kelly P Arbour-Nicitopoulos3, John Cairney4.   

Abstract

Movement behaviour guideline adherence has been associated with lower depressive symptoms during adolescence, yet no studies have used person-centered approaches to examine this relationship. The purpose of the present study was to identify whether unique adolescent movement behaviour profiles exist, evaluate predictors of profile membership, and determine whether profile membership was associated with differences in depressive symptoms cross sectionally and longitudinally. This study involved secondary analysis of the public-use data from Wave 1 and Wave 2 of the National Study of Adolescent Health. Adolescents (N = 6436; 48% male) in grades 7 to 12 (Mage = 16.03 ± 1.75) completed measures to assess moderate-to-vigorous physical activity (MVPA), recreational screen time (ST), and sleep - collectively known as movement behaviours - and depressive symptoms. Latent profile analysis identified four profiles that had similar sleep patterns and were thus characterized by different levels of MVPA and ST: high MVPA/low ST (29%), high MVPA/high ST (4%), low MVPA/low ST (53%), and low MVPA/high ST (14%). Several socio-demographic variables were found to influence profile membership. After adjusting for covariates, findings revealed depressive symptoms were lowest among the high MVPA/low ST profile and this trend was evident one year later. Engaging in high levels of either MVPA or ST alone did not provide additive benefits for depressive symptoms compared to those who engaged in low levels of both MVPA and ST. These findings suggest intervention efforts should take an integrative approach to improve mental health outcomes among adolescents by considering each of the movement behaviours concurrently. Crown
Copyright © 2020. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Mental health; Mixture modeling; Physical activity; Screen time; Sleep

Mesh:

Year:  2020        PMID: 33259826     DOI: 10.1016/j.ypmed.2020.106352

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  3 in total

1.  Typologies of Family Functioning and 24-h Movement Behaviors.

Authors:  Michelle D Guerrero; Joel D Barnes; Mark S Tremblay; Laura Pulkki-Råback
Journal:  Int J Environ Res Public Health       Date:  2021-01-15       Impact factor: 3.390

2.  Relationship of 24-Hour Movement Behaviors with Weight Status and Body Composition in Chinese Primary School Children: A Cross-Sectional Study.

Authors:  Lin Zhou; Wei Liang; Yuxiu He; Yanping Duan; Ryan E Rhodes; Hao Liu; Hongmei Liang; Xiaowei Shi; Jun Zhang; Yingzhe Cheng
Journal:  Int J Environ Res Public Health       Date:  2022-07-14       Impact factor: 4.614

3.  Associations between pre-COVID-19 physical activity profiles and mental wellbeing and quality of life during COVID-19 lockdown among adults.

Authors:  Kara Dadswell; Matthew Bourke; Jaimie-Lee Maple; Melinda Craike
Journal:  Curr Psychol       Date:  2022-08-13
  3 in total

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