Sofie Compernolle1, Jean-Michel Oppert2, Joreintje D Mackenbach3, Jeroen Lakerveld3, Helene Charreire4, Ketevan Glonti5, Helga Bardos6, Harry Rutter5, Katrien De Cocker7, Greet Cardon1, Ilse De Bourdeaudhuij8. 1. Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium. 2. Université Paris 13, Sorbonne Paris Cité - EREN (Equipe de Recherche en Epidémiologie, Nutritionnelle), U1153 INSERM, INRA, CNAM, Centre de Recherche en Epidémiologie et, Biostatistiques, CRNH IdF, Bobigny, France; Université Pierre et Marie Curie, Institut cardiométabolisme et nutrition, service de nutrition, hôpital Piitie-Salpêtrière (AP-HP), France. 3. Department of Epidemiology & Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands. 4. Université Paris 13, Sorbonne Paris Cité - EREN (Equipe de Recherche en Epidémiologie, Nutritionnelle), U1153 INSERM, INRA, CNAM, Centre de Recherche en Epidémiologie et, Biostatistiques, CRNH IdF, Bobigny, France; Université Pierre et Marie Curie, Institut cardiométabolisme et nutrition, service de nutrition, hôpital Piitie-Salpêtrière (AP-HP), France; Paris Est University, Lab-Urba Urban Institute of Paris, UPEC, Créteil, France. 5. ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK. 6. Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Hungary. 7. Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium; Research Foundation Flanders (FWO), Brussels, Belgium. 8. Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium. Electronic address: Ilse.DeBourdeaudhuij@Ugent.be.
Abstract
OBJECTIVES: This study aimed to examine the mediating effects of energy-balance related behaviors on the association of neighborhood socio-economic status (SES) and neighborhood residential area density (RAD) with body mass index (BMI). METHODS: In total, 6037 adults from four neighborhood types (high SES/high RAD, high SES/low RAD, low SES/high RAD, and low SES/low RAD) in five Mid-European urban regions completed an online survey asking about their energy-balance related behaviors (physical activity [PA], sedentary behavior, and dietary behavior), determinants of these behaviors and their body weight and height. MacKinnon's product-of-coefficients test was used to assess mediating effects. RESULTS: Transport-related PA, leisure-time PA and vegetable intake seemed to mediate the association between neighborhood type and BMI. Residents from low SES/low RAD neighborhoods reported less transport-related PA, less leisure-time PA and less vegetable intake than high SES/high RAD residents, and these behaviors (i.e. transport-related PA, leisure-time PA and vegetable intake) were related to having a higher BMI. CONCLUSION: The association between neighborhood type and BMI can be explained, at least in part, by energy-balance related behaviors.
OBJECTIVES: This study aimed to examine the mediating effects of energy-balance related behaviors on the association of neighborhood socio-economic status (SES) and neighborhood residential area density (RAD) with body mass index (BMI). METHODS: In total, 6037 adults from four neighborhood types (high SES/high RAD, high SES/low RAD, low SES/high RAD, and low SES/low RAD) in five Mid-European urban regions completed an online survey asking about their energy-balance related behaviors (physical activity [PA], sedentary behavior, and dietary behavior), determinants of these behaviors and their body weight and height. MacKinnon's product-of-coefficients test was used to assess mediating effects. RESULTS: Transport-related PA, leisure-time PA and vegetable intake seemed to mediate the association between neighborhood type and BMI. Residents from low SES/low RAD neighborhoods reported less transport-related PA, less leisure-time PA and less vegetable intake than high SES/high RAD residents, and these behaviors (i.e. transport-related PA, leisure-time PA and vegetable intake) were related to having a higher BMI. CONCLUSION: The association between neighborhood type and BMI can be explained, at least in part, by energy-balance related behaviors.
Authors: John E Blundell; Jennifer Lyn Baker; Emma Boyland; Ellen Blaak; Jadwiga Charzewska; Stefaan de Henauw; Gema Frühbeck; Marcela Gonzalez-Gross; Johannes Hebebrand; Lotte Holm; Vilma Kriaucioniene; Lauren Lissner; Jean-Michel Oppert; Karin Schindler; Ana Lúcia Silva; Euan Woodward Journal: Obes Facts Date: 2017-02-11 Impact factor: 3.942
Authors: Rodrigo San-Cristobal; Santiago Navas-Carretero; Miguel Ángel Martínez-González; José María Ordovas; José Alfredo Martínez Journal: Nat Rev Endocrinol Date: 2020-03-31 Impact factor: 43.330