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Associations between tree nut consumption and diet quality in the UK adult population based on National Diet and Nutrition Survey (NDNS) rolling programme 2008–2014

Published online by Cambridge University Press:  11 December 2017

V. Dikariyanto
Affiliation:
Diet and Cardiometabolic Disease Research Group, Faculty of Life Science and Medicine, King's College London, London SE1 9NH, UK
W.L. Hall
Affiliation:
Diet and Cardiometabolic Disease Research Group, Faculty of Life Science and Medicine, King's College London, London SE1 9NH, UK
S.E.E. Berry
Affiliation:
Diet and Cardiometabolic Disease Research Group, Faculty of Life Science and Medicine, King's College London, London SE1 9NH, UK
G.K. Pot
Affiliation:
Diet and Cardiometabolic Disease Research Group, Faculty of Life Science and Medicine, King's College London, London SE1 9NH, UK Vrije Universiteit Amsterdam, The Netherlands
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Abstract

Type
Abstract
Copyright
Copyright © The Authors 2017 

Tree nut consumption has been reported to be associated with better diet quality according to evidence from the National Health and Nutrition Examination Survey (NHANES) in the US adult population( Reference O'Neil, Nicklas and Fulgoni 1 ). Our study provides complementary information for the UK adult population using data from the UK National Diet and Nutrition Survey (NDNS) rolling programme (2008–2014)( 2 ). The aim was to investigate associations between tree nut consumption and overall diet quality in adults.

Cross sectional analysis was carried out using data from the NDNS rolling programme (2008–2014), including data from 3,371 individuals aged ≥19 y who completed a 4-d estimated food diary. Tree nut consumption was defined as: 1) nut snacks only, 2) total consumption including composite dishes. To estimate diet quality, two different approaches were used: 1) a data-driven approach with principle component analysis (PCA) using 59 food items, 2) a hypothesis-driven approach with 3 existing diet quality scores (Mediterranean Diet Score (MDS; potential score range 0–9)( Reference Trichopoulou, Bamia and Lagiou 3 ), modified Healthy Diet Score (modified HDS; potential score range 0–14)( Reference Maynard, Ness and Abraham 4 ) and Eating Choices Index (ECI; potential score range 4–20))( Reference Pot, Richards and Prynne 5 ). Multivariate linear regression models were used to investigate associations between tree nut consumption and diet quality taking into account covariates for age, sex, ethnicity, socio-economic status, smoking status, alcohol intake and energy intake.

In the data-driven approach, PCA identified 3 dietary patterns for tree nut snack consumers and 4 patterns for non-consumers, as well as 5 dietary patterns for tree nut consumption including composite dishes and 6 patterns for composite dish non-consumers. The table presents the associated food items included in the primary dietary patterns for tree nut snack consumption (Component 1 contributing the highest percentage of variation explained).

Included items had factor loadings >0·3. + shows a positive association, – shows a negative association.

For the hypothesis-driven approach, tree nut consumption, both as snack and in composite dishes, significantly predicted diet quality using all 3 scores: MDS, modified HDS and ECI (p ⩽ 0·001). For every gram increase in tree nuts included in composite dish consumption per 1000 kcal of adult's total energy intake, MDS significantly increased 0·331 (p < 0·001). However, tree nut snack consumption alone did not statistically change the diet quality scores for every gram of the consumption per 1000 kcal of total energy intake. Consumption of tree nuts was associated with dietary patterns including lower processed foods and refined carbohydrates as well as higher fruit and dietary fibre intakes. Tree nut consumption including composite dishes was associated with better diet quality indicated by the MDS.

References

1. O'Neil, C, Nicklas, T, Fulgoni, V (2015) Nutrients 7, 595607.Google Scholar
2. National Diet and Nutrition Survey. (2008/2009–2013/14). Sep 2016. Public Health England/UK Food Standards Agency.Google Scholar
3. Trichopoulou, A, Bamia, C, Lagiou, P et al. (2010) Am J Clin Nutr 92(3), 620625.Google Scholar
4. Maynard, M, Ness, AR, Abraham, L et al. (2005) Public Health Nutr 8, 321326.Google Scholar
5. Pot, GK, Richards, M, Prynne, CJ et al. (2014) Public Health Nutr 17(12), 26602666.CrossRefGoogle Scholar