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Accuracy and reliability of self-reported weight and height in the Sister Study

  • Cynthia J Lin (a1), Lisa A DeRoo (a1), Sara R Jacobs (a1) and Dale P Sandler (a1)
  • DOI: http://dx.doi.org/10.1017/S1368980011003193
  • Published online: 09 December 2011
Abstract
AbstractObjective

To assess the accuracy and reliability of self-reported weight and height and identify the factors associated with reporting accuracy.

Design

Analysis of self-reported and measured weight and height from participants in the Sister Study (2003–2009), a nationwide cohort of 50 884 women aged 35–74 years in the USA with a sister with breast cancer.

Setting

Weight and height were reported via computer-assisted telephone interview (CATI) and self-administered questionnaires, and measured by examiners.

Subjects

Early enrolees in the Sister Study. There were 18 639 women available for the accuracy analyses and 13 316 for the reliability analyses.

Results

Using weighted kappa statistics, comparisons were made between CATI responses and examiner measures to assess accuracy and CATI and questionnaire responses to assess reliability. Polytomous logistic regression evaluated factors associated with over- or under-reporting. Compared with measured values, agreement was 96 % for reported height (±1 inch (±2·5 cm); weighted κ = 0·84) and 67 % for weight (±3 lb (±1·36 kg); weighted κ = 0·92). Obese women (BMI ≥ 30 kg/m2) were more likely than normal-weight women to under-report weight by ≥5 % and underweight women (BMI < 18·5 kg/m2) were more likely to over-report. Among normal-weight and overweight women (18·5 kg/m2 ≤ BMI < 30 kg/m2), weight cycling and lifetime weight difference ≥50 lb (≥22·68 kg) were associated with over-reporting.

Conclusions

US women in the Sister Study were reasonably reliable and accurate in reporting weight and height. Women with normal-range BMI reported most accurately. Overweight and obese women and those with weight fluctuations were less accurate, but even among obese women, few under-reported their weight by >10 %.

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*Corresponding author: Email sandler@niehs.nih.gov
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