Effect of the type of population on estimates of mean body mass index and prevalence of overweight and obesity: A systematic review of studies of Portuguese adults

• Tipo: Outra Publicação em Revista Científica Internacional
• Data: 2012

Autores

Carreira, H (Autor) Outra; Pereira, M (Autor) Outra; Azevedo A (Autor) FMUP; Lunet N (Autor) FMUP

Revista

Título: Annals of Human Biology

Vol. 39 Nº 6

Páginas: 223-238

ISSN: 0301-4460

Editora: Taylor & Francis

Indexação

ISI Web of Knowledge - 5 Citações

Scopus - 5 Citações

Outras Informações

ID Authenticus: P-002-AF1

DOI: 10.3109/03014460.2012.681804

Abstract (EN): Background: Prevalence estimates for overweight/obesity vary widely between studies, reflecting true differences across settings and biased sampling. Aim: To compare mean body mass index (BMI) and prevalences of overweight/obesity in samples of different types of population, in Portugal. Methods: A systematic review was conducted to identify studies that assessed the distribution of BMI and overweight/obesity in different populations (general population, blood donors, university students, occupational groups, healthcare users and volunteers). Linear regression was used to quantify age-, sex- and survey year-adjusted differences in these outcomes. Results: When weight/height were measured, BMI was higher among blood donors (+1.4 kg/m(2)) and lower in occupational groups (-0.9 kg/m(2)), compared to the general population. Overweight prevalence was lower among university students (-5.2%). Obesity prevalence was higher among occupational groups (+4.5%) and healthcare users (+8.9%); and lower in volunteers (-6.4%). With self-reported data, BMI was lower among university students (-0.9 kg/m(2)), occupational groups (-1.2 kg/m(2)) and volunteers (-0.7 kg/m(2)). Healthcare users had higher overweight (+6.7%) and lower obesity prevalences (-4.3%) and occupational groups lower obesity prevalence (-5.7%). Conclusion: Estimates varied largely across population types. Commonly used solutions for an easier assembling of study samples are likely to yield biased estimates of the distributions in the general population.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 16