ANOVA and Chi Square tests will be used to determine differences between the groups in possible covariates. One-way ANCOVA will be used to compare PUFA status between groups, controlling for potential covariates. Pearson correlations will be conducted (assuming a Normal distribution) to determine significant associations between symptom scores and between levels of EPA, DHA, total n-3 PUFA, AA and total n-6 PUFA (expressed in all cases as percentage of total fatty acids in erythrocytes). Significant correlations and covariates will then be entered into multiple linear regressions to investigate whether PUFA levels are associated with symptom scores. The significance level will be set at p<.05 with correction for multiple comparisons.