Thesis (MAppSc in Physiotherapy) -- University of South Australia, 1994

Thesis (DPsych) -- Faculty of Life and Social Sciences, Swinburne University of Technology, 2007. / Submitted in fulfillment of the requirements of the degree of the Professional Doctorate of Psychology, Faculty of Life and Social Sciences, Swinburne University of Technology, 2007. Includes bibliographical references (p. 300-346).

Diss. (sammanfattning) Stockholm : Karol. inst. / Härtill 5 uppsatser. På titels. felaktigt: clerosis.

Thesis (Ph. D. in Molecular Physiology and Biophysics)--Vanderbilt University, May 2006. / Title from title screen. Includes bibliographical references.

Thesis (M.S.)--Wisconsin. / Includes bibliographical references (leaves 73-81).

Thesis (Ph. D.)--University of Texas at Austin, 1998. / Vita. Includes bibliographical references (leaves 113-124). Available also in a digital version from Dissertation Abstracts.

M.Tech.

Thesis (Ph.D.)--Aberdeen University, 2009. / Title from web page (viewed on Apr. 21, 2009). Includes bibliographical references.

published_or_final_version / abstract / toc / Clinical Psychology / Master / Master of Social Sciences

Multiple sclerosis (MS) is a neurodegenerative disease of uncertain etiology and pathology, affected by genetic and environmental factors. Nutrition may be one of these factors. This study used one validated 80-item food frequency questionnaire and one 24-hour recall to assess dietary intake, anthropometric and lifestyle practices, and self-perceived impacts of food in 36 adults with MS. Although only 3 persons followed special diets for MS, 28 indicated food influenced the way they felt, and 17 thought food directly impacted their MS. Over 50% of participants were identified as potential underreporters of energy. Low intakes in grains, dairy, and fruits and vegetables were commonly observed. The FFQ and 24-hour recalls estimated different mean sample intakes of all nutrients; these differences were significant for carbohydrates, water, iron, magnesium, riboflavin, niacin, and omega-3. Both tools identified mean intakes below suggested AI levels for fibre, calcium, vitamin D, omega-3 and omega-6, and above the UL for sodium. Supplements were used by 72% of participants, and increased estimated nutrient intakes above the EAR or the UL for some nutrients in some individuals.