Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

The Validity of Obesity Based on Self-reported Weight and Height: Implications for Population Studies.

Författare

Summary, in English

Objective: To validate self-reported information on weight and height in an adult population and to find a useful algorithm to assess the prevalence of obesity based on self-reported information. Research Methods and Procedures: This was a crosssectional survey consisting of 1703 participants (860 men and 843 women, 30 to 75 years old) conducted in the community of Vara, Sweden, from 2001 to 2003. Self-reported weight, height, and corresponding BMI were compared with measured data. Obesity was defined as measured BMI >= 30 kg/m(2). Information on education, self-rated health, smoking habits, and physical activity during leisure time was collected by a self-administered questionnaire. Results: Mean differences between measured and self-reported weight were 1.6 kg (95% confidence interval, 1.4; 1.8) in men and 1.8 kg (1.6; 2.0) in women (measured higher), whereas corresponding differences in height were -0.3 cm (-0.5; -0.2) in men and -0.4 cm (-0.5; -0.2) in women (measured lower). Age and body size were important factors for misreporting height, weight, and BMI in both men and women. Obesity (measured) was found in 156 men (19%) and 184 women (25%) and with self-reported data in 114 men (14%) and 153 women (20%). For self-reported data, the sensitivity of obesity was 70% in men and 82% in women, and when adjusted for corrected self-reported data and age, it increased to 81 % and 90%, whereas the specificity decreased from 99% in both sexes to 97% in men and 98% in women. Discussion: The prevalence of obesity based on self-reported BMI can be estimated more accurately when using an algorithm adjusted for variables that are predictive for misreporting.

Publiceringsår

2007

Språk

Engelska

Sidor

197-208

Publikation/Tidskrift/Serie

Obesity

Volym

15

Issue

1

Dokumenttyp

Artikel i tidskrift

Förlag

Nature Publishing Group

Ämne

  • Nutrition and Dietetics

Nyckelord

  • validity
  • self-reported
  • height
  • weight

Status

Published

Forskningsgrupp

  • Nutrition Epidemiology
  • Social Epidemiology
  • Community Medicine

ISBN/ISSN/Övrigt

  • ISSN: 1930-739X