Capturing health and eating status through a nutritional perception screening questionnaire (NPSQ9) in a randomised internet-based personalised nutrition intervention: the Food4Me study

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 great...

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Main Authors: Rodrigo San-Cristobal (Author), Santiago Navas-Carretero (Author), Carlos Celis-Morales (Author), Katherine M. Livingstone (Author), Barbara Stewart-Knox (Author), Audrey Rankin (Author), Anna L. Macready (Author), Rosalind Fallaize (Author), Clare B. O'Donovan (Author), Hannah Forster (Author), Clara Woolhead (Author), Marianne C. Walsh (Author), Christina P. Lambrinou (Author), George Moschonis (Author), Yannis Manios (Author), Miroslaw Jarosz (Author), Hannelore Daniel (Author), Eileen R. Gibney (Author), Lorraine Brennan (Author), Thomas E. Gundersen (Author), Christian A. Drevon (Author), Mike Gibney (Author), Cyril F. M. Marsaux (Author), Wim H. M. Saris (Author), Julie A. Lovegrove (Author), Lynn J. Frewer (Author), John C. Mathers (Author), J. Alfredo Martinez (Author), on behalf of the Food4Me Study (Author)
Format: Book
Published: BMC, 2017-12-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Rodrigo San-Cristobal  |e author 
700 1 0 |a Santiago Navas-Carretero  |e author 
700 1 0 |a Carlos Celis-Morales  |e author 
700 1 0 |a Katherine M. Livingstone  |e author 
700 1 0 |a Barbara Stewart-Knox  |e author 
700 1 0 |a Audrey Rankin  |e author 
700 1 0 |a Anna L. Macready  |e author 
700 1 0 |a Rosalind Fallaize  |e author 
700 1 0 |a Clare B. O'Donovan  |e author 
700 1 0 |a Hannah Forster  |e author 
700 1 0 |a Clara Woolhead  |e author 
700 1 0 |a Marianne C. Walsh  |e author 
700 1 0 |a Christina P. Lambrinou  |e author 
700 1 0 |a George Moschonis  |e author 
700 1 0 |a Yannis Manios  |e author 
700 1 0 |a Miroslaw Jarosz  |e author 
700 1 0 |a Hannelore Daniel  |e author 
700 1 0 |a Eileen R. Gibney  |e author 
700 1 0 |a Lorraine Brennan  |e author 
700 1 0 |a Thomas E. Gundersen  |e author 
700 1 0 |a Christian A. Drevon  |e author 
700 1 0 |a Mike Gibney  |e author 
700 1 0 |a Cyril F. M. Marsaux  |e author 
700 1 0 |a Wim H. M. Saris  |e author 
700 1 0 |a Julie A. Lovegrove  |e author 
700 1 0 |a Lynn J. Frewer  |e author 
700 1 0 |a John C. Mathers  |e author 
700 1 0 |a J. Alfredo Martinez  |e author 
700 1 0 |a on behalf of the Food4Me Study  |e author 
245 0 0 |a Capturing health and eating status through a nutritional perception screening questionnaire (NPSQ9) in a randomised internet-based personalised nutrition intervention: the Food4Me study 
260 |b BMC,   |c 2017-12-01T00:00:00Z. 
500 |a 10.1186/s12966-017-0624-6 
500 |a 1479-5868 
520 |a 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 evaluate 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 nine 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. Trial registration NCT01530139 . 
546 |a EN 
690 |a Food4Me 
690 |a Personalised nutrition 
690 |a Survey 
690 |a Healthy eating index 
690 |a Mediterranean diet score 
690 |a NPSQ9 
690 |a Nutritional diseases. Deficiency diseases 
690 |a RC620-627 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n International Journal of Behavioral Nutrition and Physical Activity, Vol 14, Iss 1, Pp 1-12 (2017) 
787 0 |n http://link.springer.com/article/10.1186/s12966-017-0624-6 
787 0 |n https://doaj.org/toc/1479-5868 
856 4 1 |u https://doaj.org/article/b4f2516e47174fb5abfc7da472e2bccd  |z Connect to this object online.