Title |
The usefulness of “corrected” body mass index vs. self-reported body mass index: comparing the population distributions, sensitivity, specificity, and predictive utility of three correction equations using Canadian population-based data
|
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Published in |
BMC Public Health, May 2014
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DOI | 10.1186/1471-2458-14-430 |
Pubmed ID | |
Authors |
Daniel J Dutton, Lindsay McLaren |
Abstract |
National data on body mass index (BMI), computed from self-reported height and weight, is readily available for many populations including the Canadian population. Because self-reported weight is found to be systematically under-reported, it has been proposed that the bias in self-reported BMI can be corrected using equations derived from data sets which include both self-reported and measured height and weight. Such correction equations have been developed and adopted. We aim to evaluate the usefulness (i.e., distributional similarity; sensitivity and specificity; and predictive utility vis-à-vis disease outcomes) of existing and new correction equations in population-based research. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Canada | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Mexico | 1 | 2% |
United States | 1 | 2% |
Italy | 1 | 2% |
South Africa | 1 | 2% |
Unknown | 48 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 10 | 19% |
Researcher | 9 | 17% |
Student > Ph. D. Student | 5 | 10% |
Student > Doctoral Student | 5 | 10% |
Student > Postgraduate | 4 | 8% |
Other | 12 | 23% |
Unknown | 7 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 13 | 25% |
Nursing and Health Professions | 6 | 12% |
Psychology | 6 | 12% |
Social Sciences | 5 | 10% |
Economics, Econometrics and Finance | 4 | 8% |
Other | 9 | 17% |
Unknown | 9 | 17% |