Development of a short food frequency questionnaire to assess diet quality in UK Adolescents using the National Diet and Nutrition Survey
Development of a short food frequency questionnaire to assess diet quality in UK Adolescents using the National Diet and Nutrition Survey
Background: UK adolescents consume fewer fruits and vegetables and more free sugars than any other age group. Established techniques to understand diet quality can be difficult to use with adolescents because of high participant burden. This study aimed to identify key foods that indicate variation in diet quality in UK adolescents for inclusion in a short food frequency questionnaire (FFQ) and to investigate the associations between adolescent diet quality, nutritional biomarkers and socio-demographic factors.
Methods: dietary, demographic and biomarker data from waves 1-8 of the National Diet and Nutrition Survey rolling programme were used (n=2587; aged 11-18 years; 50% boys; n=≤997 biomarker data). Principal component analysis (PCA) was applied to 139 food groups to identify the key patterns within the data. Two diet quality scores, a 139-group and 20-group, were calculated using the PCA coefficients for each food group and multiplying by their standardised reported frequency of consumption and then summing across foods. The foods with the 10 strongest positive and 10 strongest negative coefficients from the PCA results were used for the 20-group score. Scores were standardised to have a zero mean and standard deviation of one.
Results: the first PCA component explained 3.0% of variance in the dietary data and described a dietary pattern broadly aligned with UK dietary recommendations. A correlation of 0.87 was observed between the 139-group and 20-group scores. Bland-Altman mean difference was 0.00 and 95% limits of agreement were -0.98 to 0.98 SDs. Correlations, in the expected direction, were seen between each nutritional biomarker and both scores; results attenuated slightly for the 20-group score compared to the 139-group score. Better diet quality was observed among girls, non-white populations and in those from higher socio-economic backgrounds for both scores.
Conclusions: the diet quality score based on 20 food groups showed reasonable agreement with the 139-group score. Both scores were correlated with nutritional biomarkers. A short 20-item FFQ can provide a meaningful and easy-to-implement tool to assess diet quality in large scale observational and intervention studies with adolescents.
Shaw, Sarah
9629b12a-8ee2-4483-a9ca-6efb4eef74c8
Crozier, Sarah
9c3595ce-45b0-44fa-8c4c-4c555e628a03
Strommer, Sofia
a025047e-effa-4481-9bf4-48da1668649e
Inskip, Hazel
5fb4470a-9379-49b2-a533-9da8e61058b7
Barker, Mary
374310ad-d308-44af-b6da-515bf5d2d6d2
Vogel, Christina
768f1dcd-2697-4aae-95cc-ee2f6d63dff5
Shaw, Sarah
9629b12a-8ee2-4483-a9ca-6efb4eef74c8
Crozier, Sarah
9c3595ce-45b0-44fa-8c4c-4c555e628a03
Strommer, Sofia
a025047e-effa-4481-9bf4-48da1668649e
Inskip, Hazel
5fb4470a-9379-49b2-a533-9da8e61058b7
Barker, Mary
374310ad-d308-44af-b6da-515bf5d2d6d2
Vogel, Christina
768f1dcd-2697-4aae-95cc-ee2f6d63dff5
EACH-B Study Team
(2020)
Development of a short food frequency questionnaire to assess diet quality in UK Adolescents using the National Diet and Nutrition Survey.
Nutrition Journal.
(In Press)
Abstract
Background: UK adolescents consume fewer fruits and vegetables and more free sugars than any other age group. Established techniques to understand diet quality can be difficult to use with adolescents because of high participant burden. This study aimed to identify key foods that indicate variation in diet quality in UK adolescents for inclusion in a short food frequency questionnaire (FFQ) and to investigate the associations between adolescent diet quality, nutritional biomarkers and socio-demographic factors.
Methods: dietary, demographic and biomarker data from waves 1-8 of the National Diet and Nutrition Survey rolling programme were used (n=2587; aged 11-18 years; 50% boys; n=≤997 biomarker data). Principal component analysis (PCA) was applied to 139 food groups to identify the key patterns within the data. Two diet quality scores, a 139-group and 20-group, were calculated using the PCA coefficients for each food group and multiplying by their standardised reported frequency of consumption and then summing across foods. The foods with the 10 strongest positive and 10 strongest negative coefficients from the PCA results were used for the 20-group score. Scores were standardised to have a zero mean and standard deviation of one.
Results: the first PCA component explained 3.0% of variance in the dietary data and described a dietary pattern broadly aligned with UK dietary recommendations. A correlation of 0.87 was observed between the 139-group and 20-group scores. Bland-Altman mean difference was 0.00 and 95% limits of agreement were -0.98 to 0.98 SDs. Correlations, in the expected direction, were seen between each nutritional biomarker and both scores; results attenuated slightly for the 20-group score compared to the 139-group score. Better diet quality was observed among girls, non-white populations and in those from higher socio-economic backgrounds for both scores.
Conclusions: the diet quality score based on 20 food groups showed reasonable agreement with the 139-group score. Both scores were correlated with nutritional biomarkers. A short 20-item FFQ can provide a meaningful and easy-to-implement tool to assess diet quality in large scale observational and intervention studies with adolescents.
Text
Shaw_Adolescent_NDNSFFQ_Version for PURE 111220
- Accepted Manuscript
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Accepted/In Press date: 11 December 2020
Identifiers
Local EPrints ID: 445760
URI: http://eprints.soton.ac.uk/id/eprint/445760
ISSN: 1475-2891
PURE UUID: d74ae593-7694-49f1-aea9-9c35289925cb
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Date deposited: 07 Jan 2021 17:32
Last modified: 17 Mar 2024 03:34
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Corporate Author: EACH-B Study Team
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