Literature DB >> 35571882

The Association Between Diet and Cardio-Metabolic Risk on Cognitive Performance: A Cross-Sectional Study of Middle-Aged Australian Adults.

Sarah Gauci1,2, Lauren M Young1,2, Lizanne Arnoldy1, Andrew Scholey1,3, David J White1, Annie-Claude Lassemillante4,5, Denny Meyer6, Andrew Pipingas1.   

Abstract

Adherence to different dietary patterns has been linked to the development of cognitive decline; yet little is known about whether this relationship is present in middle age. The current study aimed to explore the relationship between different dietary patterns, cognitive performance, and potential cardio-metabolic mechanisms for this relationship. Participants were recruited using a diet screening tool to ensure that the cohort had a range of diet quality ranging from relatively poor to relatively healthy. In a sample of 141 middle-aged adults (age: M = 52.84 years, SD = 6.87 years), multiple 24 h diet recalls were collected and used to score adherence to the Mediterranean diet, dietary approaches to stop hypertension (DASH) diet, and Mediterranean-DASH diet intervention for neurodegenerative delay (MIND) diet. Metabolic risk was assessed using the metabolic syndrome severity score (MetSSS) and arterial stiffness. Cognitive performance was assessed using the Swinburne University Computerized Cognitive Assessment Battery (SUCCAB). Adherence to the MIND diet was significantly related to Stroop Processing domain (β = 0.19, p = 0.035). None of the dietary patterns were significantly related to MetSSS or arterial stiffness. However, adherence to the DASH diet was significantly associated with two cardio-metabolic measures including lower augmentation index (β = -0.17, p = 0.032) and lowered cholesterol (β = -0.18, p = 0.041). Interestingly, two cardio-metabolic risk factors were also associated with better cognitive performance: MetSSS (β = 0.21, p = 0.010) and waist circumference (β = 0.22, p = 0.020). Together these findings suggest that diet in middle age may be important for cognitive functioning and cardio-metabolic risk. However, more research is needed in the form of randomized controlled trials to confirm the direction of these relationships.
Copyright © 2022 Gauci, Young, Arnoldy, Scholey, White, Lassemillante, Meyer and Pipingas.

Entities:  

Keywords:  DASH diet; MIND diet; cardio-metabolic risk; cognition; diet; mediterranean diet

Year:  2022        PMID: 35571882      PMCID: PMC9096908          DOI: 10.3389/fnut.2022.862475

Source DB:  PubMed          Journal:  Front Nutr        ISSN: 2296-861X


  44 in total

1.  Dietary screening tool identifies nutritional risk in older adults.

Authors:  Regan L Bailey; Paige E Miller; Diane C Mitchell; Terryl J Hartman; Frank R Lawrence; Christopher T Sempos; Helen Smiciklas-Wright
Journal:  Am J Clin Nutr       Date:  2009-05-20       Impact factor: 7.045

2.  The influence of age on the association between cholesterol and cognitive function.

Authors:  Peter van Vliet; Willemien van de Water; Anton J M de Craen; Rudi G J Westendorp
Journal:  Exp Gerontol       Date:  2008-05-20       Impact factor: 4.032

3.  Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

Authors:  Franz Faul; Edgar Erdfelder; Axel Buchner; Albert-Georg Lang
Journal:  Behav Res Methods       Date:  2009-11

4.  Social desirability bias in dietary self-report may compromise the validity of dietary intake measures. Implications for diet disease relationships.

Authors:  B L Heitmann
Journal:  Int J Epidemiol       Date:  1996-02       Impact factor: 7.196

Review 5.  Arterial stiffness: a brief review.

Authors:  Najeeb A Shirwany; Ming-hui Zou
Journal:  Acta Pharmacol Sin       Date:  2010-08-30       Impact factor: 6.150

6.  A metabolic syndrome severity score: A tool to quantify cardio-metabolic risk factors.

Authors:  Joshua F Wiley; Melinda J Carrington
Journal:  Prev Med       Date:  2016-04-16       Impact factor: 4.018

7.  Physical Fitness and Aortic Stiffness Explain the Reduced Cognitive Performance Associated with Increasing Age in Older People.

Authors:  Greg Kennedy; Denny Meyer; Roy J Hardman; Helen Macpherson; Andrew B Scholey; Andrew Pipingas
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

8.  Metabolic Syndrome and Cognition: Follow-Up Study of Chinese Over-55-Year-Olds.

Authors:  Paulina Maria Przybycien-Gaweda; Xinyi Gwee; Qi Gao; Denise Qian Ling Chua; Johnson Fam; Tze Pin Ng
Journal:  Dement Geriatr Cogn Disord       Date:  2020-09-07       Impact factor: 2.959

9.  Arterial Stiffness and Cognition Among Adults: A Systematic Review and Meta-Analysis of Observational and Longitudinal Studies.

Authors:  Celia Alvarez-Bueno; Pedro G Cunha; Vicente Martinez-Vizcaino; Diana P Pozuelo-Carrascosa; Maria Eugenia Visier-Alfonso; Estela Jimenez-Lopez; Ivan Cavero-Redondo
Journal:  J Am Heart Assoc       Date:  2020-02-28       Impact factor: 5.501

10.  Coronary heart disease and risk for cognitive impairment or dementia: Systematic review and meta-analysis.

Authors:  Kay Deckers; Syenna H J Schievink; Maria M F Rodriquez; Robert J van Oostenbrugge; Martin P J van Boxtel; Frans R J Verhey; Sebastian Köhler
Journal:  PLoS One       Date:  2017-09-08       Impact factor: 3.240

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  1 in total

Review 1.  Dietary Therapy in Prevention of Cardiovascular Disease (CVD)-Tradition or Modernity? A Review of the Latest Approaches to Nutrition in CVD.

Authors:  Elżbieta Szczepańska; Agnieszka Białek-Dratwa; Barbara Janota; Oskar Kowalski
Journal:  Nutrients       Date:  2022-06-27       Impact factor: 6.706

  1 in total

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