Related Experiment Video
Updated: Sep 26, 2026

Breakfast Habits among Schoolchildren in the City of Uruguaiana, Brazil
Published on: July 29, 2020
[Socioeconomic determinism of obesity in the Seine-Saint-Denis area]
Emilio La Rosa1, Paul Valensi, Régis Cohen
1Centre de prévention sanitaire et sociale, Caisse Primaire d'assurance maladie de la Seine-Saint-Denis 2-4, avenue de la Convention-93017 Bobigny. emilio.larosa@wanadoo.fr
Objective:
Obesity is a complex multi-factorial disease. The role of socioeconomic factors is known but few studies have attempted to analyse separately the impact of the various participating factors: oncome, level of education, cultural and social status.
Method:
These factors were analysed in 26,278 persons aging from 16 to 59 years, living in the district and having benefited from a medical check-up in the Seine-Saint-Denis health and social prevention centre, district particularly concerned by socio-economic insecurity. Among these persons, a representative sample of 1804 filled-in an additional questionnaire including questions on their income, level of education, marital status and the area or country of origin.
Results:
The prevalence of obesity (body mass index or BMI > or = 30 kg/m2) and overweight (MCI = 25 to 29.9 kg/m2) was respectively of 17.6 and 32.7%. Using univariate analysis, the prevalence of obesity was significantly associated with age, gender (higher in women), settled way of life, socio-professional category, low education, marital status and origin (higher in persons from Africa and North Africa). Using a logistic regression model, the risk of obesity was increased 1.45-fold in persons earning less than 838,47 euros and 1.67-fold in persons with low education. Moreover, it was 2.28-fold greater in the un-working population, 1.62-fold in the redundant and 1.5-fold in the working class, compared with the executive-freelance population.
Conclusion:
The risk of obesity is therefore independently related to cultural, economic and social parameters.
Related Concept Videos
Obesity
Bias in Epidemiological Studies
Causality in Epidemiology
Statistical Methods for Analyzing Epidemiological Data
Cause and Effect
Pharmacokinetics in Obese Patients: Drug Metabolism and Excretion