English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Evidence for diet quality representing a modifiable risk factor for age-related cognitive decline and mood disturbances has typically come from retrospective, cross-sectional analyses. Here a diet screening tool (DST) was used to categorize healthy middle-aged volunteers ( n = 141, 40-65 years) into "optimal" or "sub-optimal" diet groups to investigate cross-sectional associations between diet quality, cognitive function, and mood. The DST distinguished levels of nutrient intake as assessed by Automated Self-Administered 24-h dietary recall and nutrient status, as assessed by blood biomarker measures. Compared with the "sub-optimal" group, the "optimal" diet group showed significantly higher intake of vitamin E ( p = 0.007), magnesium ( p = 0.001), zinc ( p = 0.043) and fiber ( p = 0.015), higher circulating levels of vitamin B6 ( p = 0.030) and red blood cell folate ( p = 0.026) and lower saturated fatty acids ( p = 0.012). Regarding psychological outcomes, the "optimal" diet group had significantly better Stroop processing than those with a "sub-optimal" diet ( p = 0.013). Regression analysis revealed that higher DST scores were associated with fewer mood disturbances ( p = 0.002) and lower perceived stress ( p = 0.031), although these differences were not significant when comparing "optimal" versus "sub-optimal" as discrete groups. This study demonstrates the potential of a 20-item diet screen to identify both nutritional and psychological status in an Australian setting.

nutrients

Self-Reported Diet Quality Differentiates Nutrient Intake, Blood Nutrient Status, Mood, and Cognition: Implications for Identifying Nutritional Neurocognitive Risk Factors in Middle Age