» Articles » PMID: 30709045

Exploratory Determined Correlates of Physical Activity in Children and Adolescents: The MoMo Study

Overview
Publisher MDPI
Date 2019 Feb 3
PMID 30709045
Citations 10
Authors
Affiliations
Soon will be listed here.
Abstract

: Physical activity is an important contributor to reducing the risk for a variety of diseases. Understanding why people are physically active contributes to evidence-based planning of public health interventions because successful actions will target factors known to be related to physical activity (PA). Therefore the aim of this study is to identify the most meaningful correlates of PA in children and adolescents using a large, representative data set. : Among = 3539 (1801 boys) 6 to 17-year-old participants of the German representative Motorik-Modul baseline study (2003⁻2006) a total of 1154 different demographic, psychological, behavioral, biological, social and environmental factors were ranked according to their power of predicting PA using least absolute shrinkage and selection operator (LASSO) regressions. : A total of 18 (in girls) and 19 (in boys) important PA predictors from different, personal, social and environmental factors have been identified and ranked by LASSO. Peer modeling and physical self-concept were identified as the strongest correlates of PA in both boys and girls. : The results confirm that PA interventions must target changes in different categories of PA correlates, but we suggest to focus particularly on the social environment and physical self-concept for interventions targeting children and adolescents in Germany nowadays. We also strongly recommend to repeatedly track correlates of PA, at least every 10 years, from representative samples in order to tailor contemporary PA interventions.

Citing Articles

Effects of COVID-19 time on the development of pre-impaired glucose tolerance state in children and adolescents with overweight and obesity.

Giannini C, Mastromauro C, Chiarelli F, Mohn A Int J Obes (Lond). 2023; 47(11):1050-1056.

PMID: 37500925 DOI: 10.1038/s41366-023-01353-x.


The Barriers to and Facilitators of Physical Activity and Sport for Oceania with Non-European, Non-Asian (ONENA) Ancestry Children and Adolescents: A Mixed Studies Systematic Review.

Peralta L, Cinelli R, Cotton W, Morris S, Galy O, Caillaud C Int J Environ Res Public Health. 2022; 19(18).

PMID: 36141832 PMC: 9517198. DOI: 10.3390/ijerph191811554.


The bad rainbow of COVID-19 time: effects on glucose metabolism in children and adolescents with obesity and overweight.

Giannini C, Polidori N, Chiarelli F, Mohn A Int J Obes (Lond). 2022; 46(9):1694-1702.

PMID: 35778481 PMC: 9263072. DOI: 10.1038/s41366-022-01164-6.


Changes of Self-Rated Health Status, Overweight and Physical Activity During Childhood and Adolescence-The Ratchet Effect of High Parental Socioeconomic Status.

Rittsteiger L, Hinz T, Oriwol D, Wasche H, Schmidt S, Kolb S Front Sports Act Living. 2022; 4:781394.

PMID: 35308596 PMC: 8931189. DOI: 10.3389/fspor.2022.781394.


Environmental Physical Activity Cues and Children's Active vs. Sedentary Recreation.

Spitzer A, Oselinsky K, Lucas-Thompson R, Graham D Int J Environ Res Public Health. 2022; 19(3).

PMID: 35162896 PMC: 8834769. DOI: 10.3390/ijerph19031874.


References
1.
Poitras V, Gray C, Borghese M, Carson V, Chaput J, Janssen I . Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth. Appl Physiol Nutr Metab. 2016; 41(6 Suppl 3):S197-239. DOI: 10.1139/apnm-2015-0663. View

2.
Schmidt S, Henn A, Albrecht C, Woll A . Physical Activity of German Children and Adolescents 2003-2012: The MoMo-Study. Int J Environ Res Public Health. 2017; 14(11). PMC: 5708014. DOI: 10.3390/ijerph14111375. View

3.
Brown H, Atkin A, Panter J, Wong G, Chinapaw M, van Sluijs E . Family-based interventions to increase physical activity in children: a systematic review, meta-analysis and realist synthesis. Obes Rev. 2016; 17(4):345-60. PMC: 4819691. DOI: 10.1111/obr.12362. View

4.
Lee T, Chao P, Ting H, Chang L, Huang Y, Wu J . Using multivariate regression model with least absolute shrinkage and selection operator (LASSO) to predict the incidence of Xerostomia after intensity-modulated radiotherapy for head and neck cancer. PLoS One. 2014; 9(2):e89700. PMC: 3938504. DOI: 10.1371/journal.pone.0089700. View

5.
Ekeland E, Heian F, Hagen K, Abbott J, Nordheim L . Exercise to improve self-esteem in children and young people. Cochrane Database Syst Rev. 2004; (1):CD003683. DOI: 10.1002/14651858.CD003683.pub2. View