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Clustering of lifestyle factors and association with overweight in adolescents of the Kiel Obesity Prevention Study.
Public Health Nutr 2010; 13(10A):1708-15PH

Abstract

OBJECTIVE

To identify lifestyle clusters in adolescents and to characterize their association with overweight and obesity.

DESIGN

Cross-sectional and longitudinal data of the Kiel Obesity Prevention Study.

SETTING

Schools in Kiel, Germany.

SUBJECTS AND METHODS

Cross-sectional data of 1894 adolescents aged 14 years and 4-year longitudinal data of a subsample of 389 children aged 10 and 14 years. Self-reported data of physical activity, modes of commuting to school, media time, nutrition, alcohol consumption and smoking were used to identify lifestyle clusters with two-step cluster analysis. Obesity indices (height, weight, waist circumference and fat mass (FM)) were measured.

RESULTS

Three lifestyle clusters were identified: a 'low activity and low-risk behaviour' cluster (cluster 1: n 740, 39·1 %); a 'high media time and high-risk behaviour' cluster (cluster 2: n 498, 26·3 %); and a 'high activity and medium-risk behaviour' cluster (cluster 3: n 656, 34·6 %). Strictly speaking, none of these clusters was considered to be markedly healthy. The prevalence of overweight and obesity tended to be lower in cluster 3 (15·9 %) than in clusters 1 (20·4 %) and 2 (20·5 %; P = 0·053). Longitudinally, 4-year changes in FM were found to be lowest in cluster 2, but the 4-year incidence rate of obesity was lowest in cluster 3.

CONCLUSIONS

Explicit healthy lifestyles do not exist, but an active lifestyle reduces the incidence of obesity. In adolescents, health promotion should take into account the diversity of lifestyles and address specific lifestyle clusters.

Authors+Show Affiliations

Institut für Humanernährung und Lebensmittelkunde, Christian-Albrechts-Universität zu Kiel, Düsternbrooker Weg 17, D-24105 Kiel, Germany.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

20883570

Citation

Landsberg, Beate, et al. "Clustering of Lifestyle Factors and Association With Overweight in Adolescents of the Kiel Obesity Prevention Study." Public Health Nutrition, vol. 13, no. 10A, 2010, pp. 1708-15.
Landsberg B, Plachta-Danielzik S, Lange D, et al. Clustering of lifestyle factors and association with overweight in adolescents of the Kiel Obesity Prevention Study. Public Health Nutr. 2010;13(10A):1708-15.
Landsberg, B., Plachta-Danielzik, S., Lange, D., Johannsen, M., Seiberl, J., & Müller, M. J. (2010). Clustering of lifestyle factors and association with overweight in adolescents of the Kiel Obesity Prevention Study. Public Health Nutrition, 13(10A), pp. 1708-15. doi:10.1017/S1368980010002260.
Landsberg B, et al. Clustering of Lifestyle Factors and Association With Overweight in Adolescents of the Kiel Obesity Prevention Study. Public Health Nutr. 2010;13(10A):1708-15. PubMed PMID: 20883570.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Clustering of lifestyle factors and association with overweight in adolescents of the Kiel Obesity Prevention Study. AU - Landsberg,Beate, AU - Plachta-Danielzik,Sandra, AU - Lange,Dominique, AU - Johannsen,Maike, AU - Seiberl,Jasmin, AU - Müller,Manfred James, PY - 2010/10/2/entrez PY - 2010/10/5/pubmed PY - 2011/1/22/medline SP - 1708 EP - 15 JF - Public health nutrition JO - Public Health Nutr VL - 13 IS - 10A N2 - OBJECTIVE: To identify lifestyle clusters in adolescents and to characterize their association with overweight and obesity. DESIGN: Cross-sectional and longitudinal data of the Kiel Obesity Prevention Study. SETTING: Schools in Kiel, Germany. SUBJECTS AND METHODS: Cross-sectional data of 1894 adolescents aged 14 years and 4-year longitudinal data of a subsample of 389 children aged 10 and 14 years. Self-reported data of physical activity, modes of commuting to school, media time, nutrition, alcohol consumption and smoking were used to identify lifestyle clusters with two-step cluster analysis. Obesity indices (height, weight, waist circumference and fat mass (FM)) were measured. RESULTS: Three lifestyle clusters were identified: a 'low activity and low-risk behaviour' cluster (cluster 1: n 740, 39·1 %); a 'high media time and high-risk behaviour' cluster (cluster 2: n 498, 26·3 %); and a 'high activity and medium-risk behaviour' cluster (cluster 3: n 656, 34·6 %). Strictly speaking, none of these clusters was considered to be markedly healthy. The prevalence of overweight and obesity tended to be lower in cluster 3 (15·9 %) than in clusters 1 (20·4 %) and 2 (20·5 %; P = 0·053). Longitudinally, 4-year changes in FM were found to be lowest in cluster 2, but the 4-year incidence rate of obesity was lowest in cluster 3. CONCLUSIONS: Explicit healthy lifestyles do not exist, but an active lifestyle reduces the incidence of obesity. In adolescents, health promotion should take into account the diversity of lifestyles and address specific lifestyle clusters. SN - 1475-2727 UR - https://www.unboundmedicine.com/medline/citation/20883570/Clustering_of_lifestyle_factors_and_association_with_overweight_in_adolescents_of_the_Kiel_Obesity_Prevention_Study_ L2 - https://www.cambridge.org/core/product/identifier/S1368980010002260/type/journal_article DB - PRIME DP - Unbound Medicine ER -