Resting Energy Expenditure in Adults With Williams Syndrome: Comparative Accuracy of Predictive Equations.
Danielle B Renzi, Jamie Garry, Jane Hubbard and 4 others
PMID 41414930WHAT IT FOUND
Standard calorie equations are unreliable for adults with Williams syndrome.
Only the Mifflin FFM equation was highly accurate for men; women's predictions were poor. Wide individual variability means these estimates should be used with caution rather than as precise prescriptions.
Key findings
01The Mifflin FFM equation was the only one to achieve high accuracy (87.5%) in men with Williams syndrome, while the best equations for women only reached 60-70% accuracy.
02Even the best-performing equations showed wide limits of agreement, indicating substantial individual-level variability and potential for significant over- or underestimation of energy needs.
03The Harris-Benedict equation significantly overestimated resting energy expenditure, which could lead to unintended weight gain if used to guide dietary advice.
STILL TO COME
How it was doneWhat they found
Read the rest of this summary
You get three full summaries a month, free, and we do not ask for a card. Search, the TL;DRs and your library stay unlimited either way.
What it does not show
The sample size was small (41 participants), which limited the ability to detect effects of age on energy expenditure. Ten participants could not complete the indirect calorimetry due to anxiety about the procedure, which may bias the cohort toward those who can tolerate the test. Controls were drawn from two different time periods (contemporary and historical), requiring the pooling of data from two different metabolic cart devices. The study did not include diverse racial or ethnic groups, nor adults over 50, limiting generalizability.
The easy way to misread this
Do not assume the Mifflin FFM equation is safe for all patients. It was only highly accurate for men. For women, even the best equations were wrong for 30-40% of cases, and the Harris-Benedict equation overestimated needs by hundreds of calories, which could lead to weight gain if followed literally.
Summarised by AI from the full paper, without a clinician reviewing it. Check it against the source before it changes what you do. Read it on PubMed →