When testing the upper body fat prediction equations in women, the average difference from DXA measurements was small (0.47%), with most predictions falling within a range of -6.43% to 7.38%.

Scientific Claim

Cross-validation of QCT-based prediction equations for android fat percentage in Chinese women shows a mean difference of 0.47% and limits of agreement from -6.43% to 7.38% compared to DXA measurements.

Original Statement

“Predicted Android %fat Female (L3/L4) -0.95 1.013 0.91 3.62 0.47 -6.43 to 7.38”

From study:Assessment of whole-body and regional body fat using abdominal quantitative computed tomography in Chinese women and men

Evidence Quality Assessment

Claim Status

appropriately stated

Study Design Support

Design supports claim

Appropriate Language Strength

probability

Can suggest probability/likelihood

Assessment Explanation

The claim accurately reports statistical validation metrics without implying clinical utility beyond the study population, which is appropriate for observational data.

Evidence from Studies

Supporting (1)

Assessment of whole-body and regional body fat using abdominal quantitative computed tomography in Chinese women and men

Cross-Sectional Study

Human

2024 Feb 14

Contradicting (0)

No contradicting evidence found

Source Study

Assessment of whole-body and regional body fat using abdominal quantitative computed tomography in Chinese women and men

Score: 54

DOI: 10.1186/s12944-024-02034-y

Similar Assertions

For Chinese women, belly fat measurements from a CT slice at the L3/L4 level combined with BMI can predict upper body fat distribution with 86% accuracy compared to DXA scans.

88%

When testing the belly fat prediction equations in men, the average difference from DXA measurements was small (1.31%), with most predictions falling within a range of -4.08% to 6.71%.

86%

For Chinese men, combining belly fat measurements from a CT slice at the L1/L2 level with BMI can predict upper body fat distribution with 90% accuracy compared to DXA scans.

82%

For Chinese women, using belly fat measurements from a CT slice at the L5/S1 level along with body weight can predict total body fat with 81% accuracy compared to DXA scans.

75%

For Chinese men, belly fat measurements from the lowest CT slice can predict lower body fat with 65% accuracy, while for women, this prediction also requires age information and has 51% accuracy.

73%