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Abstract
Regression analyses were performed on individual data from our two previous clinical
investigations to establish the cholesterolemic effects of individual fatty acids.
Our principal objective was to determine the effects of stearic acid on plasma total
cholesterol (TC) and low-density lipoprotein (LDL) cholesterol levels. Our second
objective was to determine the variation in the cholesterolemic response of individuals
to changes (Δ) in the major dietary fatty acids. The best-fitting linear regression
equations relating ΔTC and ΔLDL (mg/dL) were as follows: ΔTC = 2.3 ΔC14:0 + 3.0 ΔC16:0
− 0.8 ΔC18:0 − 1.0Δpolyunsaturated fatty acids (PUFA) and ΔLDL = 2.6 ΔC14:0 + 2.9
ΔC16:0 − 0.5 ΔC18:0 − 0.7 ΔPUFA, where Δ fatty acid = change in intake expressed as
percent of calories. Based on these equations, in which stearic acid has a significant,
negative regression coefficient, and the other regression models analyzed, it appears
that stearic acid has an independent cholesterol-lowering effect. Using the equation
we developed, 75% of the actual cholesterolemic responses were within ± 10 mg/dL of
the predicted response. In summary, we have developed a predictive equation (similar
to those developed by both Keys and Hegsted) to estimate changes in plasma TC and
LDL cholesterol levels of young men in response to changes in dietary fatty acids.
However, our predictive equation separates stearic acid from the other long-chain
saturated fatty acids (SFA) and indicates that it has an independent cholesterol-lowering
effect. Thus, stearic acid is a unique long-chain SFA because of its effect on plasma
cholesterol level.
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References
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Article info
Publication history
Accepted:
March 22,
1992
Received:
October 12,
1991
Footnotes
☆Supported by The American Cocoa Research Institute and The Pennsylvania Agricultural Experiment Station.
Identification
Copyright
© 1993 Published by Elsevier Inc.