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Capturing health and eating status through a Nutritional Perception Screening Questionnaire (NPSQ9) in a randomised internet-based personalised nutrition intervention: the Food4Me study
San-Cristobal, R. Navas-Carretero, S. Celis-Morales, C. Livingstone, K.M. Stewart-Knox, Barbara Rankin, A. Macready, A.L. Fallaize, R. O'Donovan, C.B. Forster, H.
San-Cristobal, R.
Navas-Carretero, S.
Celis-Morales, C.
Livingstone, K.M.
Stewart-Knox, Barbara
Rankin, A.
Macready, A.L.
Fallaize, R.
O'Donovan, C.B.
Forster, H.
Publication Date
2017-12
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© The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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2017-10-23
2017-10-23
2017-10-23
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Abstract
Background: National guidelines emphasize healthy eating to promote wellbeing and prevention of non-communicable diseases. The perceived healthiness of food is determined by many factors affecting food intake. A positive perception of healthy eating has been shown to be associated with greater diet quality. Internet-based methodologies allow contact with large populations. Our present study aims to design and a short nutritional perception questionnaire, to be used as a screening tool for assessing nutritional status, and to predict an optimal level of personalisation in nutritional advice delivered via the Internet. Methods: Data from all participants who were screened and then enrolled into the Food4Me proof-of-principle study (n=2369) were used to determine the optimal items for inclusion in a novel screening tool, the Nutritional Perception Screening Questionnaire-9 (NPSQ9). Exploratory and confirmatory factor analyses were performed on anthropometric and biochemical data and on dietary indices acquired from participants who had completed the Food4Me dietary intervention (n=1153). Baseline and intervention data were analysed using linear regression and linear mixed regression, respectively.
Results: A final model with 9 NPSQ items was validated against the dietary intervention data. NPSQ9 scores were inversely associated with BMI (β=-0.181, p<0.001) and waist circumference (Β=-0.155, p<0.001), and positively associated with total carotenoids (β=0.198, p<0.001), omega-3 fatty acid index (β=0.155, p<0.001), Healthy Eating Index (HEI) (β=0.299, p<0.001) and Mediterranean Diet Score (MDS) (β=0. 279, p<0.001). Findings from the longitudinal intervention study showed a greater reduction in BMI and improved dietary indices among participants with lower NPSQ9 scores. Conclusions: Healthy eating perceptions and dietary habits captured by the NPSQ9 score, based on 9 questionnaire items, were associated with reduced body weight and improved diet quality. Likewise, participants with a lower score achieved greater health improvements than those with higher scores, in response to personalised advice, suggesting that NPSQ9 may be used for early evaluation of nutritional status and to tailor nutritional advice.
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Citation
San-Cristobal R, Navas-Carretero S, Celis-Morales C et al (2017) Capturing health and eating status through a Nutritional Perception Screening Questionnaire (NPSQ9) in a randomised internet-based personalised nutrition intervention: the Food4Me study. International Journal of Behavioral Nutrition and Physical Activity. 14(168).
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Article