Cargando…
A cluster-analytic approach towards multidimensional health-related behaviors in adolescents: the MoMo-Study
BACKGROUND: Although knowledge on single health-related behaviors and their association with health parameters is available, research on multiple health-related behaviors is needed to understand the interactions among these behaviors. The aims of the study were (a) to identify typical health-related...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3552670/ https://www.ncbi.nlm.nih.gov/pubmed/23273134 http://dx.doi.org/10.1186/1471-2458-12-1128 |
_version_ | 1782256696460050432 |
---|---|
author | Spengler, Sarah Mess, Filip Mewes, Nadine Mensink, Gert BM Woll, Alexander |
author_facet | Spengler, Sarah Mess, Filip Mewes, Nadine Mensink, Gert BM Woll, Alexander |
author_sort | Spengler, Sarah |
collection | PubMed |
description | BACKGROUND: Although knowledge on single health-related behaviors and their association with health parameters is available, research on multiple health-related behaviors is needed to understand the interactions among these behaviors. The aims of the study were (a) to identify typical health-related behavior patterns in German adolescents focusing on physical activity, media use and dietary behavior; (b) to describe the socio-demographic correlates of the identified clusters and (c) to study their association with overweight. METHODS: Within the framework of the German Health Interview and Examination Survey for Children and Adolescents (KiGGS) and the “Motorik-Modul” (MoMo), 1,643 German adolescents (11–17 years) completed a questionnaire assessing the amount and type of weekly physical activity in sports clubs and during leisure time, weekly use of television, computer and console games and the frequency and amount of food consumption. From this data the three indices ‘physical activity’, ‘media use’ and ‘healthy nutrition’ were derived and included in a cluster analysis conducted with Ward’s Method and K-means analysis. Chi-square tests were performed to identify socio-demographic correlates of the clusters as well as their association with overweight. RESULTS: Four stable clusters representing typical health-related behavior patterns were identified: Cluster 1 (16.2%)—high scores in physical activity index and average scores in media use index and healthy nutrition index; cluster 2 (34.6%)—high healthy nutrition score and below average scores in the other two indices; cluster 3 (18.4%)—low physical activity score, low healthy nutrition score and very high media use score; cluster 4 (30.5%)—below average scores on all three indices. Boys were overrepresented in the clusters 1 and 3, and the relative number of adolescents with low socio-economic status as well as overweight was significantly higher than average in cluster 3. CONCLUSIONS: Meaningful and stable clusters of health-related behavior were identified. These results confirm findings of another youth study hence supporting the assumption that these clusters represent typical behavior patterns of adolescents. These results are particularly relevant for the characterization of target groups for primary prevention of lifestyle diseases. |
format | Online Article Text |
id | pubmed-3552670 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35526702013-01-28 A cluster-analytic approach towards multidimensional health-related behaviors in adolescents: the MoMo-Study Spengler, Sarah Mess, Filip Mewes, Nadine Mensink, Gert BM Woll, Alexander BMC Public Health Research Article BACKGROUND: Although knowledge on single health-related behaviors and their association with health parameters is available, research on multiple health-related behaviors is needed to understand the interactions among these behaviors. The aims of the study were (a) to identify typical health-related behavior patterns in German adolescents focusing on physical activity, media use and dietary behavior; (b) to describe the socio-demographic correlates of the identified clusters and (c) to study their association with overweight. METHODS: Within the framework of the German Health Interview and Examination Survey for Children and Adolescents (KiGGS) and the “Motorik-Modul” (MoMo), 1,643 German adolescents (11–17 years) completed a questionnaire assessing the amount and type of weekly physical activity in sports clubs and during leisure time, weekly use of television, computer and console games and the frequency and amount of food consumption. From this data the three indices ‘physical activity’, ‘media use’ and ‘healthy nutrition’ were derived and included in a cluster analysis conducted with Ward’s Method and K-means analysis. Chi-square tests were performed to identify socio-demographic correlates of the clusters as well as their association with overweight. RESULTS: Four stable clusters representing typical health-related behavior patterns were identified: Cluster 1 (16.2%)—high scores in physical activity index and average scores in media use index and healthy nutrition index; cluster 2 (34.6%)—high healthy nutrition score and below average scores in the other two indices; cluster 3 (18.4%)—low physical activity score, low healthy nutrition score and very high media use score; cluster 4 (30.5%)—below average scores on all three indices. Boys were overrepresented in the clusters 1 and 3, and the relative number of adolescents with low socio-economic status as well as overweight was significantly higher than average in cluster 3. CONCLUSIONS: Meaningful and stable clusters of health-related behavior were identified. These results confirm findings of another youth study hence supporting the assumption that these clusters represent typical behavior patterns of adolescents. These results are particularly relevant for the characterization of target groups for primary prevention of lifestyle diseases. BioMed Central 2012-12-31 /pmc/articles/PMC3552670/ /pubmed/23273134 http://dx.doi.org/10.1186/1471-2458-12-1128 Text en Copyright ©2012 Spengler et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Spengler, Sarah Mess, Filip Mewes, Nadine Mensink, Gert BM Woll, Alexander A cluster-analytic approach towards multidimensional health-related behaviors in adolescents: the MoMo-Study |
title | A cluster-analytic approach towards multidimensional health-related behaviors in adolescents: the MoMo-Study |
title_full | A cluster-analytic approach towards multidimensional health-related behaviors in adolescents: the MoMo-Study |
title_fullStr | A cluster-analytic approach towards multidimensional health-related behaviors in adolescents: the MoMo-Study |
title_full_unstemmed | A cluster-analytic approach towards multidimensional health-related behaviors in adolescents: the MoMo-Study |
title_short | A cluster-analytic approach towards multidimensional health-related behaviors in adolescents: the MoMo-Study |
title_sort | cluster-analytic approach towards multidimensional health-related behaviors in adolescents: the momo-study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3552670/ https://www.ncbi.nlm.nih.gov/pubmed/23273134 http://dx.doi.org/10.1186/1471-2458-12-1128 |
work_keys_str_mv | AT spenglersarah aclusteranalyticapproachtowardsmultidimensionalhealthrelatedbehaviorsinadolescentsthemomostudy AT messfilip aclusteranalyticapproachtowardsmultidimensionalhealthrelatedbehaviorsinadolescentsthemomostudy AT mewesnadine aclusteranalyticapproachtowardsmultidimensionalhealthrelatedbehaviorsinadolescentsthemomostudy AT mensinkgertbm aclusteranalyticapproachtowardsmultidimensionalhealthrelatedbehaviorsinadolescentsthemomostudy AT wollalexander aclusteranalyticapproachtowardsmultidimensionalhealthrelatedbehaviorsinadolescentsthemomostudy AT spenglersarah clusteranalyticapproachtowardsmultidimensionalhealthrelatedbehaviorsinadolescentsthemomostudy AT messfilip clusteranalyticapproachtowardsmultidimensionalhealthrelatedbehaviorsinadolescentsthemomostudy AT mewesnadine clusteranalyticapproachtowardsmultidimensionalhealthrelatedbehaviorsinadolescentsthemomostudy AT mensinkgertbm clusteranalyticapproachtowardsmultidimensionalhealthrelatedbehaviorsinadolescentsthemomostudy AT wollalexander clusteranalyticapproachtowardsmultidimensionalhealthrelatedbehaviorsinadolescentsthemomostudy |