| Titre : | Accuracy of the estimated prevalence of obesity from self reported height and weight in an adult Scottish population. (2000) |
| Auteurs : | C. BOLTON-SMITH ; C. MORRISON ; H. TUNSTALL-PEDOE ; M. WOODWARD |
| Type de document : | Article |
| Dans : | Journal of epidemiology and community health (vol. 54, n° 2, 2000) |
| Pagination : | 143-148 |
| Langues: | Anglais |
| Mots-clés : | Obésité ; Taille corporelle ; Poids corporel ; Autoévaluation ; Validité ; Epidémiologie ; Prévalence ; Adulte ; Homme ; Ecosse ; Grande Bretagne ; Royaume Uni ; Europe ; Maladie nutrition |
| Résumé : | [BDSP. Notice produite par INIST G4cR0xU4. Diffusion soumise à autorisation]. Study objective-To determine whether self reported heights and weights from Scottish adults can provide an accurate assessment of obesity prevalence in the population. Design-Standardised clinic measurements of weight and height were compared against self reported values on a postal questionnaire in the fourth Scottish MONICA cross sectional study. Setting-A sex and five year age band stratified random population sample drawn from general practitioner registers in north Glasgow in 1995. Response rate 63% for men and 62% for women. Participants-A total of 865 men and 971 women aged between 25 and 64 years. Results-Men and women under-reported their weight by a mean (SD) of 0.63 (3.45) kg and 0.95 (2.64) kg respectively, and their height by a mean (SD) of 1.3 (2.50) cm and 1.7 (2.37) cm respectively. Estimated body mass index, BMI (kg/m2) varied from true (measured) BMI by+0.19 (1.40) for men and by+0.17 (1.34) for women. The only age/sex group in which BMI was under-estimated from self reports (mean 0.2) was the 55-64 year old women. Prediction equations that explained 90% (men) and 88% (women) of the difference between self reported and measured height included age and self reported weight. The equivalent prediction equations for weight explained 93% of the difference between self reported and measured weight for men and included smoking and diabetic status, while for women 96% of the variance was explained with no further variables being significant. (...) |
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