• Open Access

Accuracy of body mass index estimated from self-reported height and weight in mid-aged Australian women

Authors


Correspondence to:
Dr Nicola Burton, School of Human Movement Studies, The University of Queensland, St Lucia, Queensland 4072, Fax: 07 3365 6887, Email: nburton@hms.uq.edu.au

Abstract

Objective: To assess the accuracy of body mass index (BMI) estimated from self-reported height and weight from a mailed survey, in a population-based sample of mid-aged Australian women.

Methods: One hundred and fifty nine women (age 54–59 years) were recruited from the Australian Longitudinal Study on Women's Health (ALSWH). Participants provided height and weight data in a mailed survey and were then measured (Brisbane, Australia 2005). Differences between self-reported and measured data were examined by plotting against the measured values and using paired t-tests and kappa statistics. Factors associated with biased reporting were assessed using regression models.

Results: Both self-reported height and weight tended to be underestimated, with a mean difference of 0.67 cm (95% CI 0.26 to1.08 cm) and 0.95 kg (95% CI 0.44 to1.47 kg) respectively. Reported height and derived BMI was more accurate among married women than single women (average difference of 1.28 cm, 95% CI 0.19 to 2.37 cm and –1.00 kg/m2, 95%CI –1.69 to –0.30, respectively). Women with BMI 18.5–24.9 kg/m2 reported weight more accurately than obese women (average difference of 2.26 kg, 95% CI 0.14 to 4.38 kg). There was 84% agreement between BMI categories derived from self-reported and measured data, with 85%, 73% and 94% of women correctly classified as obese, overweight, and healthy BMI using self-reported data and kappa=0.81.

Conclusions: There is substantial agreement between self-reported and measured height and weight data for mid-aged women, especially among married and healthy weight women.

Implications: Population-based studies among mid-aged women in Australia can use self-reported data obtained from mailed surveys to derive BMI estimates.

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