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Impact of Diet on Blood Pressure and Age-Related Changes in Blood Pressure in the US Population
Analysis of NHANES III
Ihab M. Hajjar, MD, MS;
Clarence E. Grim, MD;
Varghese George, PhD;
Theodore A. Kotchen, MD
Arch Intern Med. 2001;161:589-593.
Background The impact of diet on blood pressure and the age-related changes in
blood pressure have been difficult to detect within one population. We designed
this analysis to study the association of major dietary factors with blood
pressure and with age-related changes in blood pressure in a representative
sample of the US population.
Methods Data were obtained on all individuals 20 years or older (n = 17 030)
surveyed in the Third National Health and Nutrition Examination Survey (NHANES
III), including demographic data, anthropometric data, dietary intake (sodium,
potassium, calcium, magnesium, protein, alcohol, and total energy) based on
24-hour recall, and blood pressure. Multivariate models relating diet to blood
pressure were constructed using stepwise regression, best subset regression,
and multiple regression.
Results Systolic blood pressure was positively associated with higher sodium,
alcohol, and protein intakes (P<.05) and negatively
associated with potassium intake (P = .003). Diastolic
blood pressure was negatively associated with potassium and alcohol intakes
(P<.001). Pulse pressure was positively associated
with sodium, protein, and alcohol intakes (P<.001).
A higher intake of calcium (P = .01) was associated
with a lower rate of rise in systolic blood pressure with age.
Conclusion A diet low in sodium, alcohol, and protein is associated with lower
systolic blood and pulse pressure. Potassium intake was associated with lower
systolic and diastolic blood pressure, whereas alcohol intake was associated
with lower diastolic blood pressure. In addition, the age-related changes
in systolic blood pressure were attenuated by higher calcium and protein intakes.
Magnesium was not associated with any changes in blood pressure.
From the Division of Geriatrics, Department of Medicine, University
of South Carolina/Palmetto Health Alliance, Columbia (Dr Hajjar), and the
Departments of Medicine (Drs Grim and Kotchen) and Biostatistics (Dr George),
Medical College of Wisconsin, Milwaukee.
Corresponding author: Ihab M. Hajjar, MD, MS, University of South
Carolina/Palmetto Health Alliance, 9 Medical Park Dr, #230, Columbia, SC 29203
(e-mail: ihab.hajjar{at}rmh.edu).
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