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JAMA Viewpoint Draws Attention to Fat Intake Recommendations by DGAC
The JAMA authors recommend that HHS and the US Department of Agriculture pay attention to DGAC's recommendations on fat intake, which do not include an upper limit on total fat consumption.
As Frank Hu, MD, MPH, PhD, professor of epidemiology and nutrition at Harvard School of Public Health and a member of the 2015 Dietary Guidelines Advisory Committee (DGAC), outlined in his presentation during Patient-Centered Diabetes Care 2015, held in Boston, the DGAC recommends that the limit on calories from fat to 30% total calories can be lifted and cholesterol should be removed from the list of “nutrients of concern.”
Now, an opinion piece in the Journal of the American Medical Association the US Department of Agriculture and HHS heed these recommendations when developing the Dietary Guidelines for Americans, which, say the authors have a "far-reaching influence across the food supply," from schools to restaurant recipes to the military. The authors draw particular attention to the fact that the committee has eliminated an upper limit on total dietary fat intake, recommending instead that dietary fat should be optimized and well-balanced.
Males With Hemophilia A Report Physical, Mental Burdens of Disease Regardless of Severity
April 25th 2024Self-reported data from adult and pediatric males with hemophilia A show that burden of the disease persists regardless of severity, highlighting a need for improved prophylactic treatment.
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What We’re Reading: FDA Approves UTI Antibiotic; Ozempic, Wegovy Price Investigation; US Births Fall
April 25th 2024The FDA recently approved an antibiotic for the treatment of urinary tract infections (UTIs) in women; a Senate committee recently launched an investigation into the prices of Novo Nordisk’s diabetes and weight loss drugs; US births fell last year, resuming a national slide after a previous increase during the pandemic.
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HOPE-CAT Can Identify Maternal Cardiovascular Risk 2 Months Earlier Than Doctors, Study Says
April 25th 2024In a retrospective study, the machine learning tool was able to screen for potential risks of cardiovascular disease nearly 60 days before the patient's medical record showed any signs of a related condition or before they were officially diagnosed or treated for it.
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