Sarah Connor Gorber

TL;DR: The findings suggest that the measurement method may have a significant impact on the observed levels of physical activity, which poses a problem for both reliance on self- report measures and for attempts to correct for self-report – direct measure differences.

TL;DR: Overall, the data show trends of underestimation when smoking prevalence is based on self-report and varying sensitivity levels for self-reported estimates depending on the population studied and the medium in which the biological sample is measured.

TL;DR: The Canadian Health Measures Survey (CHMS) as mentioned in this paper was developed to address important data gaps and limitations in existing health information by collecting directly measured indicators of health and wellness on a representative sample of approximately 5,000 Canadians aged 6-79 years.

TL;DR: Corrected estimates provide more accurate measures of obesity prevalence, mean BMI and sensitivity levels (percentage correctly classified) and associations between BMI and health conditions are more accurate when based on corrected versus self-reported values.

TL;DR: In the United States, self‐reported data may be more accurate in monitoring changes in obesity over time, as the estimates have consistently remained about 3% below the measured estimates, whereas in Canada, monitoring obesity based solely on self-reported height and weight may produce inaccurate estimates because of the increasing discrepancy between self‐ reported and measured data.