Figure 1.

Study workflow. Our study extracted data from 102,252 residents in the UK Biobank with longitudinal outcomes, including depressive and anxiety disorders. The related psychiatric symptoms were also considered as primary outcomes. Brain white matter microstructures were derived as secondary outcomes. The study population, exclusions, and missing data are also presented. Cox proportional hazard regression models were utilized to assess the associations between plasma PUFA levels and mental disorders. Hazard ratios (HRs) and the corresponding 95% confidence intervals (CIs) were calculated in our analyses. Subgroup analyses were conducted and were mainly stratified by age (<60/≥60), sex (male/female), INFLA score (low/high), and MetS (yes/no). Further analyses were conducted to estimate the relationships of plasma PUFAs with symptoms and white matter microstructures by logistic regression models and multiple linear regression models, respectively.