Literature DB >> 20236562

Clustering of multiple lifestyle behaviours and its relationship with weight status and cardiorespiratory fitness in a sample of Flemish 11- to 12-year-olds.

Jan Seghers1, Cindy Rutten.   

Abstract

OBJECTIVE: The aim of the present study was to explore the existence of clusters in multiple lifestyle behaviours, including physical activity (PA), sedentariness and food habits, in young adolescents. The present study also investigated whether the identified groups could be characterised by gender and components of health-related physical fitness, especially weight status and cardiorespiratory fitness (CRF).
DESIGN: A cross-sectional survey. Leisure-time PA, sedentary behaviour and food consumption were assessed by a questionnaire. Overweight prevalence was estimated using BMI (kg/m2) calculated from self-reported height and weight. CRF was measured using a 20 m shuttle-run test.
SETTING: The study was conducted in four middle schools in Flanders, Belgium.
SUBJECTS: The sample size was 317 seventh grade students aged 11-12 years.
RESULTS: Four reliable and meaningful lifestyle clusters could be identified, labelled as 'Sporty media-oriented mixed eaters' (boys: n 34; girls: n 16), 'Academic healthy eaters' (boys: n 30; girls: n 58), 'Inactive healthy eaters' (boys: n 38; girls: n 57) and 'Inactive media-oriented unhealthy eaters' (boys: n 35; girls: n 49). The lifestyle clusters could not be characterised by adolescents' weight status. Among boys, the 'Sporty media-oriented mixed eaters' group performed significantly better on the shuttle-run test than those in clusters with the lowest levels of PA (clusters 3 and 4).
CONCLUSIONS: Our results showed that healthy and risk-related behaviours may coexist in some groups of young adolescents. Isolated unhealthy behaviours, such as high levels of screen-based media use or high consumption of energy-dense food items, are not necessarily related with negative health outcomes, on the condition that these risk-related behaviours co-occur with more health-enhancing behaviours such as PA.

Entities:  

Mesh:

Year:  2010        PMID: 20236562     DOI: 10.1017/S1368980010000418

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  13 in total

1.  Clustering of energy balance-related behaviors in 5-year-old children: lifestyle patterns and their longitudinal association with weight status development in early childhood.

Authors:  Jessica S Gubbels; Stef P J Kremers; Annette Stafleu; R Alexandra Goldbohm; Nanne K de Vries; Carel Thijs
Journal:  Int J Behav Nutr Phys Act       Date:  2012-06-21       Impact factor: 6.457

2.  Clustering of diet, physical activity and sedentary behaviour among Australian children: cross-sectional and longitudinal associations with overweight and obesity.

Authors:  R M Leech; S A McNaughton; A Timperio
Journal:  Int J Obes (Lond)       Date:  2015-04-24       Impact factor: 5.095

3.  Clustering of Physical Activity, Sleep, Diet, and Screen-Based Device Use Associated with Self-Rated Health in Adolescents.

Authors:  Margarethe Thaisi Garro Knebel; Thiago Sousa Matias; Marcus Vinicius Veber Lopes; Priscila Cristina Dos Santos; Alexsandra da Silva Bandeira; Kelly Samara da Silva
Journal:  Int J Behav Med       Date:  2022-01-14

4.  Clustering of children's obesity-related behaviours: associations with sociodemographic indicators.

Authors:  R M Leech; S A McNaughton; A Timperio
Journal:  Eur J Clin Nutr       Date:  2014-01-15       Impact factor: 4.016

Review 5.  The clustering of diet, physical activity and sedentary behavior in children and adolescents: a review.

Authors:  Rebecca M Leech; Sarah A McNaughton; Anna Timperio
Journal:  Int J Behav Nutr Phys Act       Date:  2014-01-22       Impact factor: 6.457

6.  Clustering and correlates of multiple health behaviours in 9-10 year old children.

Authors:  Leonie K Elsenburg; Eva Corpeleijn; Esther M F van Sluijs; Andrew J Atkin
Journal:  PLoS One       Date:  2014-06-12       Impact factor: 3.240

7.  Longitudinal associations of health-related behavior patterns in adolescence with change of weight status and self-rated health over a period of 6 years: results of the MoMo longitudinal study.

Authors:  Sarah Spengler; Filip Mess; Eliane Schmocker; Alexander Woll
Journal:  BMC Pediatr       Date:  2014-09-30       Impact factor: 2.125

8.  Clustering of Dietary Patterns, Lifestyles, and Overweight among Spanish Children and Adolescents in the ANIBES Study.

Authors:  Carmen Pérez-Rodrigo; Ángel Gil; Marcela González-Gross; Rosa M Ortega; Lluis Serra-Majem; Gregorio Varela-Moreiras; Javier Aranceta-Bartrina
Journal:  Nutrients       Date:  2015-12-28       Impact factor: 5.717

9.  Clustering of Sedentary Behaviours, Physical Activity, and Energy-Dense Food Intake in Six-Year-Old Children: Associations with Family Socioeconomic Status.

Authors:  Junwen Yang-Huang; Amy van Grieken; Lu Wang; Wilma Jansen; Hein Raat
Journal:  Nutrients       Date:  2020-06-09       Impact factor: 5.717

10.  Physical Activity, Sedentary Behavior, and Dietary Patterns among Children.

Authors:  Jessica S Gubbels; Patricia van Assema; Stef P J Kremers
Journal:  Curr Nutr Rep       Date:  2013-04-12
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