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Lifestyle correlates of overweight in adults: a hierarchical approach (the SPOTLIGHT project)

BACKGROUND: Obesity-related lifestyle behaviors usually co-exist but few studies have examined their simultaneous relation with body weight. This study aimed to identify the hierarchy of lifestyle-related behaviors associated with being overweight in adults, and to examine subgroups so identified. M...

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Autores principales: Roda, Célina, Charreire, Hélène, Feuillet, Thierry, Mackenbach, Joreintje D., Compernolle, Sofie, Glonti, Ketevan, Bárdos, Helga, Rutter, Harry, McKee, Martin, Brug, Johannes, De Bourdeaudhuij, Ilse, Lakerveld, Jeroen, Oppert, Jean-Michel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5095987/
https://www.ncbi.nlm.nih.gov/pubmed/27809926
http://dx.doi.org/10.1186/s12966-016-0439-x
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author Roda, Célina
Charreire, Hélène
Feuillet, Thierry
Mackenbach, Joreintje D.
Compernolle, Sofie
Glonti, Ketevan
Bárdos, Helga
Rutter, Harry
McKee, Martin
Brug, Johannes
De Bourdeaudhuij, Ilse
Lakerveld, Jeroen
Oppert, Jean-Michel
author_facet Roda, Célina
Charreire, Hélène
Feuillet, Thierry
Mackenbach, Joreintje D.
Compernolle, Sofie
Glonti, Ketevan
Bárdos, Helga
Rutter, Harry
McKee, Martin
Brug, Johannes
De Bourdeaudhuij, Ilse
Lakerveld, Jeroen
Oppert, Jean-Michel
author_sort Roda, Célina
collection PubMed
description BACKGROUND: Obesity-related lifestyle behaviors usually co-exist but few studies have examined their simultaneous relation with body weight. This study aimed to identify the hierarchy of lifestyle-related behaviors associated with being overweight in adults, and to examine subgroups so identified. METHODS: Data were obtained from a cross-sectional survey conducted across 60 urban neighborhoods in 5 European urban regions between February and September 2014. Data on socio-demographics, physical activity, sedentary behaviors, eating habits, smoking, alcohol consumption, and sleep duration were collected by questionnaire. Participants also reported their weight and height. A recursive partitioning tree approach (CART) was applied to identify both main correlates of overweight and lifestyle subgroups. RESULTS: In 5295 adults, mean (SD) body mass index (BMI) was 25.2 (4.5) kg/m(2), and 46.0 % were overweight (BMI ≥25 kg/m(2)). CART analysis showed that among all lifestyle-related behaviors examined, the first identified correlate was sitting time while watching television, followed by smoking status. Different combinations of lifestyle-related behaviors (prolonged daily television viewing, former smoking, short sleep, lower vegetable consumption, and lower physical activity) were associated with a higher likelihood of being overweight, revealing 10 subgroups. Members of four subgroups with overweight prevalence >50 % were mainly males, older adults, with lower education, and living in greener neighborhoods with low residential density. CONCLUSION: Sedentary behavior while watching television was identified as the most important correlate of being overweight. Delineating the hierarchy of correlates provides a better understanding of lifestyle-related behavior combinations which may assist in targeting preventative strategies aimed at tackling obesity.
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spelling pubmed-50959872016-11-07 Lifestyle correlates of overweight in adults: a hierarchical approach (the SPOTLIGHT project) Roda, Célina Charreire, Hélène Feuillet, Thierry Mackenbach, Joreintje D. Compernolle, Sofie Glonti, Ketevan Bárdos, Helga Rutter, Harry McKee, Martin Brug, Johannes De Bourdeaudhuij, Ilse Lakerveld, Jeroen Oppert, Jean-Michel Int J Behav Nutr Phys Act Research BACKGROUND: Obesity-related lifestyle behaviors usually co-exist but few studies have examined their simultaneous relation with body weight. This study aimed to identify the hierarchy of lifestyle-related behaviors associated with being overweight in adults, and to examine subgroups so identified. METHODS: Data were obtained from a cross-sectional survey conducted across 60 urban neighborhoods in 5 European urban regions between February and September 2014. Data on socio-demographics, physical activity, sedentary behaviors, eating habits, smoking, alcohol consumption, and sleep duration were collected by questionnaire. Participants also reported their weight and height. A recursive partitioning tree approach (CART) was applied to identify both main correlates of overweight and lifestyle subgroups. RESULTS: In 5295 adults, mean (SD) body mass index (BMI) was 25.2 (4.5) kg/m(2), and 46.0 % were overweight (BMI ≥25 kg/m(2)). CART analysis showed that among all lifestyle-related behaviors examined, the first identified correlate was sitting time while watching television, followed by smoking status. Different combinations of lifestyle-related behaviors (prolonged daily television viewing, former smoking, short sleep, lower vegetable consumption, and lower physical activity) were associated with a higher likelihood of being overweight, revealing 10 subgroups. Members of four subgroups with overweight prevalence >50 % were mainly males, older adults, with lower education, and living in greener neighborhoods with low residential density. CONCLUSION: Sedentary behavior while watching television was identified as the most important correlate of being overweight. Delineating the hierarchy of correlates provides a better understanding of lifestyle-related behavior combinations which may assist in targeting preventative strategies aimed at tackling obesity. BioMed Central 2016-11-03 /pmc/articles/PMC5095987/ /pubmed/27809926 http://dx.doi.org/10.1186/s12966-016-0439-x Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Roda, Célina
Charreire, Hélène
Feuillet, Thierry
Mackenbach, Joreintje D.
Compernolle, Sofie
Glonti, Ketevan
Bárdos, Helga
Rutter, Harry
McKee, Martin
Brug, Johannes
De Bourdeaudhuij, Ilse
Lakerveld, Jeroen
Oppert, Jean-Michel
Lifestyle correlates of overweight in adults: a hierarchical approach (the SPOTLIGHT project)
title Lifestyle correlates of overweight in adults: a hierarchical approach (the SPOTLIGHT project)
title_full Lifestyle correlates of overweight in adults: a hierarchical approach (the SPOTLIGHT project)
title_fullStr Lifestyle correlates of overweight in adults: a hierarchical approach (the SPOTLIGHT project)
title_full_unstemmed Lifestyle correlates of overweight in adults: a hierarchical approach (the SPOTLIGHT project)
title_short Lifestyle correlates of overweight in adults: a hierarchical approach (the SPOTLIGHT project)
title_sort lifestyle correlates of overweight in adults: a hierarchical approach (the spotlight project)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5095987/
https://www.ncbi.nlm.nih.gov/pubmed/27809926
http://dx.doi.org/10.1186/s12966-016-0439-x
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