Sonsoles Fuentes1,2, Ruben Brondeel3,4, Manuel Franco5,6, Xisca Sureda5, Pierre Traissac7, Laura Kate Cleary3,4, Basile Chaix3,4. 1. Inserm, UMR-S 1136, Faculté de Médecine Saint-Antoine, Pierre Louis Institute of Epidemiology and Public Health, Nemesis Team, 27 rue Chaligny, 75020, Paris, France. sfuegut@gmail.com. 2. Sorbonne Universités, UPMC Univ Paris 06, UMR-S 1136, Pierre Louis Institute of Epidemiology and Public Health, Nemesis Team, Paris, France. sfuegut@gmail.com. 3. Inserm, UMR-S 1136, Faculté de Médecine Saint-Antoine, Pierre Louis Institute of Epidemiology and Public Health, Nemesis Team, 27 rue Chaligny, 75020, Paris, France. 4. Sorbonne Universités, UPMC Univ Paris 06, UMR-S 1136, Pierre Louis Institute of Epidemiology and Public Health, Nemesis Team, Paris, France. 5. Social and Cardiovascular Epidemiology Research Group, School of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain. 6. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, US. 7. IRD (French Research Institute for Sustainable Development), UMR NUTRIPASS, IRD-Univ. Montpellier-SupAgro, Montpellier, France.
Abstract
OBJECTIVES: We aimed to describe the main psycho-social factors related to obesity in an adult population and to develop a unified construct (psycho-social profiles), to explore the associations between socioeconomic characteristics and these psycho-social profiles. METHODS: In its second wave, the RECORD Study assessed 6460 participants aged 30-79 years living in the Paris region between 2011 and 2014. Factor analyses followed by cluster analysis were applied to identify psycho-social profiles related to obesity. The two psycho-social profiles were adverse profile-negative body image, underestimation of the impact of weight in quality of life, low weight-related self-efficacy, and weight-related external locus of control; and favorable profile-positive body image, high self-efficacy, and internal locus of control. The relationship between three socioeconomic dimensions-current socioeconomic status, childhood socioeconomic status, and neighborhood education status-and psycho-social profiles was assessed through binomial logistic regression adjusted for age, gender, depression, living alone, and weight status. RESULTS: Contrary to hypotheses, there were no associations between socioeconomic characteristics and obesity-related psycho-social profiles after adjustment for body mass index. Depressive symptoms (OR 2.21, 95% CI 2.70, 4.04) and being female (3.31, 95% CI 2.70, 4.40) were associated with an adverse psycho-social profile. CONCLUSIONS: Psycho-social profiles could help to understand the multifactorial nature of the determinants of obesity. LEVEL OF EVIDENCE: Level V, cross-sectional descriptive study.
OBJECTIVES: We aimed to describe the main psycho-social factors related to obesity in an adult population and to develop a unified construct (psycho-social profiles), to explore the associations between socioeconomic characteristics and these psycho-social profiles. METHODS: In its second wave, the RECORD Study assessed 6460 participants aged 30-79 years living in the Paris region between 2011 and 2014. Factor analyses followed by cluster analysis were applied to identify psycho-social profiles related to obesity. The two psycho-social profiles were adverse profile-negative body image, underestimation of the impact of weight in quality of life, low weight-related self-efficacy, and weight-related external locus of control; and favorable profile-positive body image, high self-efficacy, and internal locus of control. The relationship between three socioeconomic dimensions-current socioeconomic status, childhood socioeconomic status, and neighborhood education status-and psycho-social profiles was assessed through binomial logistic regression adjusted for age, gender, depression, living alone, and weight status. RESULTS: Contrary to hypotheses, there were no associations between socioeconomic characteristics and obesity-related psycho-social profiles after adjustment for body mass index. Depressive symptoms (OR 2.21, 95% CI 2.70, 4.04) and being female (3.31, 95% CI 2.70, 4.40) were associated with an adverse psycho-social profile. CONCLUSIONS: Psycho-social profiles could help to understand the multifactorial nature of the determinants of obesity. LEVEL OF EVIDENCE: Level V, cross-sectional descriptive study.
Entities:
Keywords:
Childhood; Depression; Obesity; Psycho-social factors; Residential neighborhood; Socioeconomic status
Authors: Miyong T Kim; Kavita Radhakrishnan; Elizabeth M Heitkemper; Eunju Choi; Marissa Burgermaster Journal: Am J Transl Res Date: 2021-03-15 Impact factor: 4.060