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/m2, and 46.0 % were overweight (BMI ≥25 kg/m2). 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.
Lifestyle correlates of overweight in adults: a hierarchical approach (the SPOTLIGHT project)
Résumé
en
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/m2, and 46.0 % were overweight (BMI ≥25 kg/m2). 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.
Auteur(s)
Célina Roda1
, Hélène Charreire1, 2
, Thierry Feuillet1
, Joreintje D. Mackenbach3
, Helga Bárdos4
, Sofie Compernolle5
, Ketevan Glonti6
, Harry Rutter6
, Martin Mckee6
, Johannes Brug3
, Ilse D de Bourdeaudhuij5
, Jeroen Lakerveld3
, Jean-Michel Oppert7, 1
1
CRESS - U1153 -
Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle
( 516244 )
- Université Paris 13, U.F.R de Santé, Médecine et Biologie Humaine
Rez-de-chaussée, porte 26
74 rue Marcel Cachin
93017 Bobigny cedex
- France
Université Paris 13 ( 15786 )
;
Institut National de la Recherche Agronomique UMR1125 ( 92114 )
;
Conservatoire National des Arts et Métiers [CNAM] ( 300351 )
;
HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université ( 302628 )
;
Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité ( 446175 )
;
Institut National de la Recherche Agronomique UMR_A_1125 ( 92114 )
;
Université Paris Diderot - Paris 7 UMR_S_1153 ( 300301 )
;
Université Paris Descartes - Paris 5 ( 301664 )
;
Université Sorbonne Paris Cité ( 303171 )
;
Institut National de la Santé et de la Recherche Médicale U1153 ( 303623 )
2
LAB'URBA -
LAB'URBA
( 104173 )
- Cité Descartes - Bâtiment Bienvenue - Plot A
14-20, bld Newton Champs-sur-Marne - 77454 Marne La Vallée Cedex 2
- France
3
EMGO Institute Health and Care Research
( 439336 )
- Pays-Bas
VU University Amsterdam Medical Center ( 439325 )
4
Department of Preventive Medicine
( 453193 )
- Hongrie
University of Debrecen Egyetem [Debrecen] ( 123876 )
5
UGENT -
Universiteit Gent = Ghent University
( 302729 )
- St. Pietersnieuwstraat 33, 9000 Gent,
- Belgique
6
ECOHOST
( 446024 )
- Royaume-Uni
London School of Hygiene and Tropical Medicine ( 353798 )
7
ICAN -
Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases
( 247438 )
- Faculté de Médecine - 91 boulevard de l'Hôpital 75634 Paris Cedex 13
- France
Université Pierre et Marie Curie - Paris 6 ( 93591 )
;
Assistance publique - Hôpitaux de Paris (AP-HP) ( 300068 )
;
Institut National de la Santé et de la Recherche Médicale U1166 ( 303623 )
;
CHU Pitié-Salpêtrière [AP-HP] ( 353778 )
;
Assistance publique - Hôpitaux de Paris (AP-HP) ( 300068 )
;
Sorbonne Université ( 413221 )
Public visé
Scientifique
Sous-type de document pour les Articles
Research article
Numéro d'article
114
Version du document
version éditeur
Langue du document
Anglais
Nom de la revue
IJBNPA - Int J Behav Nutr Phys Act -
International Journal of Behavioral Nutrition and Physical Activity
(ISSN : 1479-5868)
BioMed Central
Publié par BioMed Central
http://www.ijbnpa.org/home/
Revue non référencée dans Sherpa-Romeo
Vulgarisation
Non
Comité de lecture
Oui
Licence
Paternité
Audience
Internationale
Date de publication
2016
Volume
13
Page/Identifiant
114
Financement
European Commission [278186]
Domaine(s)
Sciences du Vivant [q-bio]/Santé publique et épidémiologie
Sciences du Vivant [q-bio]/Médecine humaine et pathologie/Endocrinologie et métabolisme
Célina Roda, Hélène Charreire, Thierry Feuillet, Joreintje D. Mackenbach, Helga Bárdos, et al.. Lifestyle correlates of overweight in adults: a hierarchical approach (the SPOTLIGHT project). International Journal of Behavioral Nutrition and Physical Activity, 2016, 13, pp.114. ⟨10.1186/s12966-016-0439-x⟩. ⟨hal-01404161⟩