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October 22, 2013; 81 (17) Article

Omega-3 fatty acids and domain-specific cognitive aging

Secondary analyses of data from WHISCA

Eric M. Ammann, James V. Pottala, William S. Harris, Mark A. Espeland, Robert Wallace, Natalie L. Denburg, Ryan M. Carnahan, Jennifer G. Robinson
First published September 25, 2013, DOI: https://doi.org/10.1212/WNL.0b013e3182a9584c
Eric M. Ammann
From the Department of Epidemiology (E.M.A., R.W., R.M.C., J.G.R.), College of Public Health, and Departments of Internal Medicine (R.W., J.G.R.) and Neurology (N.L.D.), College of Medicine, University of Iowa, Iowa City; OmegaQuant Analytics (J.V.P., W.S.H.), Sioux Falls; Department of Medicine (W.S.H.), Sanford School of Medicine, University of South Dakota, Vermillion; and Department of Biostatistical Sciences (M.A.E.), Wake Forest School of Medicine, Winston-Salem, NC.
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James V. Pottala
From the Department of Epidemiology (E.M.A., R.W., R.M.C., J.G.R.), College of Public Health, and Departments of Internal Medicine (R.W., J.G.R.) and Neurology (N.L.D.), College of Medicine, University of Iowa, Iowa City; OmegaQuant Analytics (J.V.P., W.S.H.), Sioux Falls; Department of Medicine (W.S.H.), Sanford School of Medicine, University of South Dakota, Vermillion; and Department of Biostatistical Sciences (M.A.E.), Wake Forest School of Medicine, Winston-Salem, NC.
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William S. Harris
From the Department of Epidemiology (E.M.A., R.W., R.M.C., J.G.R.), College of Public Health, and Departments of Internal Medicine (R.W., J.G.R.) and Neurology (N.L.D.), College of Medicine, University of Iowa, Iowa City; OmegaQuant Analytics (J.V.P., W.S.H.), Sioux Falls; Department of Medicine (W.S.H.), Sanford School of Medicine, University of South Dakota, Vermillion; and Department of Biostatistical Sciences (M.A.E.), Wake Forest School of Medicine, Winston-Salem, NC.
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Mark A. Espeland
From the Department of Epidemiology (E.M.A., R.W., R.M.C., J.G.R.), College of Public Health, and Departments of Internal Medicine (R.W., J.G.R.) and Neurology (N.L.D.), College of Medicine, University of Iowa, Iowa City; OmegaQuant Analytics (J.V.P., W.S.H.), Sioux Falls; Department of Medicine (W.S.H.), Sanford School of Medicine, University of South Dakota, Vermillion; and Department of Biostatistical Sciences (M.A.E.), Wake Forest School of Medicine, Winston-Salem, NC.
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Robert Wallace
From the Department of Epidemiology (E.M.A., R.W., R.M.C., J.G.R.), College of Public Health, and Departments of Internal Medicine (R.W., J.G.R.) and Neurology (N.L.D.), College of Medicine, University of Iowa, Iowa City; OmegaQuant Analytics (J.V.P., W.S.H.), Sioux Falls; Department of Medicine (W.S.H.), Sanford School of Medicine, University of South Dakota, Vermillion; and Department of Biostatistical Sciences (M.A.E.), Wake Forest School of Medicine, Winston-Salem, NC.
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Natalie L. Denburg
From the Department of Epidemiology (E.M.A., R.W., R.M.C., J.G.R.), College of Public Health, and Departments of Internal Medicine (R.W., J.G.R.) and Neurology (N.L.D.), College of Medicine, University of Iowa, Iowa City; OmegaQuant Analytics (J.V.P., W.S.H.), Sioux Falls; Department of Medicine (W.S.H.), Sanford School of Medicine, University of South Dakota, Vermillion; and Department of Biostatistical Sciences (M.A.E.), Wake Forest School of Medicine, Winston-Salem, NC.
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Ryan M. Carnahan
From the Department of Epidemiology (E.M.A., R.W., R.M.C., J.G.R.), College of Public Health, and Departments of Internal Medicine (R.W., J.G.R.) and Neurology (N.L.D.), College of Medicine, University of Iowa, Iowa City; OmegaQuant Analytics (J.V.P., W.S.H.), Sioux Falls; Department of Medicine (W.S.H.), Sanford School of Medicine, University of South Dakota, Vermillion; and Department of Biostatistical Sciences (M.A.E.), Wake Forest School of Medicine, Winston-Salem, NC.
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Jennifer G. Robinson
From the Department of Epidemiology (E.M.A., R.W., R.M.C., J.G.R.), College of Public Health, and Departments of Internal Medicine (R.W., J.G.R.) and Neurology (N.L.D.), College of Medicine, University of Iowa, Iowa City; OmegaQuant Analytics (J.V.P., W.S.H.), Sioux Falls; Department of Medicine (W.S.H.), Sanford School of Medicine, University of South Dakota, Vermillion; and Department of Biostatistical Sciences (M.A.E.), Wake Forest School of Medicine, Winston-Salem, NC.
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Citation
Omega-3 fatty acids and domain-specific cognitive aging
Secondary analyses of data from WHISCA
Eric M. Ammann, James V. Pottala, William S. Harris, Mark A. Espeland, Robert Wallace, Natalie L. Denburg, Ryan M. Carnahan, Jennifer G. Robinson
Neurology Oct 2013, 81 (17) 1484-1491; DOI: 10.1212/WNL.0b013e3182a9584c

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Abstract

Objective: To test the hypothesis that higher levels of red blood cell (RBC) docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) have a protective association with domain-specific cognitive function in women aged 65 years and older.

Methods: A total of 2,157 women with normal cognition enrolled in a clinical trial of postmenopausal hormone therapy were followed with annual cognitive testing for a median of 5.9 years. In this retrospective cohort study, we assessed the relationship between prerandomization RBC DHA + EPA levels and a) cognitive measures at baseline, and b) cognitive change over time. Endpoints were composite cognitive function and performance in 7 cognitive domains: fine motor speed, verbal memory, visual memory, spatial ability, verbal knowledge, verbal fluency, and working memory.

Results: After adjustment for demographic, clinical, and behavioral characteristics, no significant (p < 0.01) cross-sectional cognitive differences were found between women in the high and low DHA + EPA tertiles at the time of the first annual cognitive battery. In addition, no significant (p < 0.01) differences were found between the high and low DHA + EPA tertiles in the rate of cognitive change over time.

Conclusions: We did not find an association between RBC DHA + EPA levels and age-associated cognitive decline in a cohort of older, dementia-free women.

GLOSSARY

CI=
confidence interval;
DHA=
docosahexaenoic acid;
EPA=
eicosapentaenoic acid;
HT=
hormone therapy;
PUFA=
polyunsaturated fatty acid;
RBC=
red blood cell;
WHI=
Women's Health Initiative;
WHISCA=
Women's Health Initiative Study of Cognitive Aging

Footnotes

  • Go to Neurology.org for full disclosures. Funding information and disclosures deemed relevant by the authors, if any, are provided at the end of the article.

  • Supplemental data at www.neurology.org

  • Received March 18, 2013.
  • Accepted in final form July 23, 2013.
  • © 2013 American Academy of Neurology
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