Influence of social class on time trends in BMI distribution in 5-year-old French children from 1989 to 1999

• Published in: International Journal of Obesity 2005-01, Vol.29 (1), p.54-59
• Main Authors: Romon, M, Duhamel, A, Collinet, N, Weill, J
• Format: Article
• Language: English
• Subjects: Age; Age Distribution; Biological and medical sciences; Body Mass Index; Child, Preschool; Cross-Sectional Studies; Environmental factors; Epidemics; Epidemiology; Families & family life; Female; Gender; Health Promotion and Disease Prevention; Hospitals; Humans; Internal Medicine; Male; Medical sciences; Medicine; Medicine & Public Health; Metabolic Diseases; Nutrition; Obesity; Obesity - epidemiology; Occupations; Overweight; Pediatrics; Prevalence; Public Health; Sex Distribution; Social Class; Social classes; Socioeconomic factors; Socioeconomics; Trends
• ISSN: 0307-0565; 1476-5497
• DOI: 10.1038/sj.ijo.0802788

AIMS: To assess the prevalence of obesity and changes in body mass index (BMI) distribution between 1989 and 1999 in 5-y-old children, and to study the influence of parental socioeconomic status on these parameters. METHODS: Two cohorts of children in the final year of nursery school (in the city of Lille, France) were enrolled in 1989 (705 children: mean age=5.6±0.4 y) and 1999 (1258 children: mean age=5.6±0.5 y). Weight and height were measured, and data about parental occupation were collected during a school medical examination. International Obesity Task Force cutoff points were used to define overweight and obesity. Parental occupation was classified into four categories. RESULTS: The prevalence of obesity increased from 1.8 to 4.9%, and the prevalence of overweight rose from 9.6 to 16.9%. Mean-difference plots allowed qualitative comparisons of the BMI distribution between the surveys: for children from the highest social classes, there was no change in BMI; for children from intermediate classes, there was a up-shift only in the upper part of the distribution with the heaviest children becoming heavier still; finally, for children from the lowest class, there was an increase in BMI across the entire population. CONCLUSIONS: This study of the changes in BMI distribution gives greater insight into the ‘obesity epidemic’. Our results show the influence of an interaction between genetic and environmental factors. The increase in BMI in the upper part of the distribution suggests that this is a population with a high degree of susceptibility, whereas the increase in BMI across the whole population in the lowest social class suggests a strong influence of the environment on this group and thus the necessity of appropriate, preventive measures.