This page provides study documentation for BA19. For description of the specimen results, see Specimen Results Description (open to public). Data sets of the specimen results are included in the existing WHI datasets located on the WHI Data on this site (sign in and a completed Data Distribution Agreement are required; see details on the Data site).
Investigator Names and Contact Information
William Harris, PhD, BILL@OMEGAQUANT.COM
Dementia represents a diverse category of syndromes characterized by deficits in memory, cognitive function, and behavior. The greater life expectancy for women translates into a high lifetime risk of dementia and a greater need for long-term disability care. Based on 30-year follow-up data from Framingham, a middle-aged woman in North America of European descent has a 1 in 5 risk of developing dementia of any type.3 The prevalence of dementia has been estimated to be approximately 6-10% of individuals age 65 and older, rising from 1-2% of those aged 65 to 74, and rising to 30% or more of those aged 85 and older.4 Dementia increases the mean annual healthcare expenditure per patient by over $5000 in 2006 dollars, with 75% of the costs related to higher rates of hospitalization and expenditures on skilled nursing facilities.5 In 2005, the U.S. spent an estimated $100 billion providing care for 3 million patients with dementia, and the U.S. population aged 65 and older is expected to increase from 12% in 2000 to 20% by 2030. The number of persons aged 80 and older also expected to double to 19.5 million by 2030.6 By 2011, current costs are expected to double, and by 2050 Medicare costs associated with dementia may be as much as $1 trillion.7 There is thus a pressing need to discover treatments or preventive strategies to reduce the burden of dementia.
See publications: 1259, 1558. WHI publications by study lists published WHI papers that have been generated by ancillary studies. A complete list of WHI papers is available in the Bibliography section of this website
Ms1259 - Ammann EM, Pottala JV, Harris WS, Espeland MA, Wallace R, Denburg NL, Carnahan RM, Robinson JG. ω-3 fatty acids and domain-specific cognitive aging: secondary analyses of data from WHISCA. Neurology. 2013 Oct 22;81(17):1484-91. doi: 10.1212/WNL.0b013e3182a9584c. Epub 2013 Sep 25.
Ms1558* - Pottala JV, Espeland MA, Polreis J, Robinson J, Harris WS. Correcting the Effects of -20C Storage and Aliquot Size on Erythrocyte Fatty Acid Content in the Women's Health Initiative. Lipids. 2012 Sep;47(9):835-46.doi:10.1007/s11745-012-3693-y. Epub 2012 Jul 11.
*Please note the following correction to Ms1558: In the article two references are incorrect. In the next to last paragraph of the Discussion, the last sentence includes '...National Health Interveiw Survey , and are recommended for clinical research .' These reference numbers should actually be  and  as follows:
 Schenker N, Raghunathan TE, Chiu PL, Makuc DM, Zhang
G, Cohen AJ. Multiple Imputation of Missing Income Data in the National Health
Interview Survey. Journal of the American Statistical Association. 2006;101(475):925-933.
 Newgard CD, Haukoos JS. Advanced statistics: missing
data in clinical research--part 2: multiple imputation. Acad Emerg Med. 2007;14(7):669-678.