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, Santiago Navas-Carretero, Carlos Celis-Morales, Katherine M. Livingstone, Barbara Stewart-Knox, Audrey Rankin, Anna L. Macready, Rosalind Fallaize, Clare B. O’Donovan, Hannah Forster, Clara Woolhead, Marianne C. Walsh, Christina P. Lambrinou, George Moschonis, Yannis Manios, Miroslaw Jarosz, Hannelore Daniel, Eileen R. Gibney, Lorraine Brennan, Thomas E. Gundersen, Christian A. Drevon, Mike Gibney, Cyril F. M. Marsaux, Wim H. M. Saris, Julie A. Lovegrove, Lynn J. Frewer, John C. Mathers, J. Alfredo Martinez, on behalf of the Food4Me Study
Format: Article
Language:English
Published: BMC 2017-12-01
Series:International Journal of Behavioral Nutrition and Physical Activity
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12966-017-0624-6
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language English
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author Rodrigo San-Cristobal
Santiago Navas-Carretero
Carlos Celis-Morales
Katherine M. Livingstone
Barbara Stewart-Knox
Audrey Rankin
Anna L. Macready
Rosalind Fallaize
Clare B. O’Donovan
Hannah Forster
Clara Woolhead
Marianne C. Walsh
Christina P. Lambrinou
George Moschonis
Yannis Manios
Miroslaw Jarosz
Hannelore Daniel
Eileen R. Gibney
Lorraine Brennan
Thomas E. Gundersen
Christian A. Drevon
Mike Gibney
Cyril F. M. Marsaux
Wim H. M. Saris
Julie A. Lovegrove
Lynn J. Frewer
John C. Mathers
J. Alfredo Martinez
on behalf of the Food4Me Study
spellingShingle Rodrigo San-Cristobal
Santiago Navas-Carretero
Carlos Celis-Morales
Katherine M. Livingstone
Barbara Stewart-Knox
Audrey Rankin
Anna L. Macready
Rosalind Fallaize
Clare B. O’Donovan
Hannah Forster
Clara Woolhead
Marianne C. Walsh
Christina P. Lambrinou
George Moschonis
Yannis Manios
Miroslaw Jarosz
Hannelore Daniel
Eileen R. Gibney
Lorraine Brennan
Thomas E. Gundersen
Christian A. Drevon
Mike Gibney
Cyril F. M. Marsaux
Wim H. M. Saris
Julie A. Lovegrove
Lynn J. Frewer
John C. Mathers
J. Alfredo Martinez
on behalf of the Food4Me Study
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
Food4Me
Personalised nutrition
Survey
Healthy eating index
Mediterranean diet score
NPSQ9
author_facet Rodrigo San-Cristobal
Santiago Navas-Carretero
Carlos Celis-Morales
Katherine M. Livingstone
Barbara Stewart-Knox
Audrey Rankin
Anna L. Macready
Rosalind Fallaize
Clare B. O’Donovan
Hannah Forster
Clara Woolhead
Marianne C. Walsh
Christina P. Lambrinou
George Moschonis
Yannis Manios
Miroslaw Jarosz
Hannelore Daniel
Eileen R. Gibney
Lorraine Brennan
Thomas E. Gundersen
Christian A. Drevon
Mike Gibney
Cyril F. M. Marsaux
Wim H. M. Saris
Julie A. Lovegrove
Lynn J. Frewer
John C. Mathers
J. Alfredo Martinez
on behalf of the Food4Me Study
author_sort Rodrigo San-Cristobal
title Capturing health and eating status through a nutritional perception screening questionnaire (NPSQ9) in a randomised internet-based personalised nutrition intervention: the Food4Me study
title_short Capturing health and eating status through a nutritional perception screening questionnaire (NPSQ9) in a randomised internet-based personalised nutrition intervention: the Food4Me study
title_full Capturing health and eating status through a nutritional perception screening questionnaire (NPSQ9) in a randomised internet-based personalised nutrition intervention: the Food4Me study
title_fullStr Capturing health and eating status through a nutritional perception screening questionnaire (NPSQ9) in a randomised internet-based personalised nutrition intervention: the Food4Me study
title_full_unstemmed Capturing health and eating status through a nutritional perception screening questionnaire (NPSQ9) in a randomised internet-based personalised nutrition intervention: the Food4Me study
title_sort capturing health and eating status through a nutritional perception screening questionnaire (npsq9) in a randomised internet-based personalised nutrition intervention: the food4me study
publisher BMC
series International Journal of Behavioral Nutrition and Physical Activity
issn 1479-5868
publishDate 2017-12-01
description 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 .
topic Food4Me
Personalised nutrition
Survey
Healthy eating index
Mediterranean diet score
NPSQ9
url http://link.springer.com/article/10.1186/s12966-017-0624-6
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spelling doaj-b4f2516e47174fb5abfc7da472e2bccd2020-11-25T00:48:02ZengBMCInternational Journal of Behavioral Nutrition and Physical Activity1479-58682017-12-0114111210.1186/s12966-017-0624-6Capturing health and eating status through a nutritional perception screening questionnaire (NPSQ9) in a randomised internet-based personalised nutrition intervention: the Food4Me studyRodrigo San-Cristobal0Santiago Navas-Carretero1Carlos Celis-Morales2Katherine M. Livingstone3Barbara Stewart-Knox4Audrey Rankin5Anna L. Macready6Rosalind Fallaize7Clare B. O’Donovan8Hannah Forster9Clara Woolhead10Marianne C. Walsh11Christina P. Lambrinou12George Moschonis13Yannis Manios14Miroslaw Jarosz15Hannelore Daniel16Eileen R. Gibney17Lorraine Brennan18Thomas E. Gundersen19Christian A. Drevon20Mike Gibney21Cyril F. M. Marsaux22Wim H. M. Saris23Julie A. Lovegrove24Lynn J. Frewer25John C. Mathers26J. Alfredo Martinez27on behalf of the Food4Me StudyCentre for Nutrition Research, Department of Nutrition, Food Science and Physiology, University of NavarraCentre for Nutrition Research, Department of Nutrition, Food Science and Physiology, University of NavarraHuman Nutrition Research Centre, Institute of Cellular Medicine, Newcastle UniversityHuman Nutrition Research Centre, Institute of Cellular Medicine, Newcastle UniversitySchool of Psychology, University of BradfordNorthern Ireland Centre for Food and Health, University of UlsterHugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of ReadingHugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of ReadingUCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College DublinUCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College DublinUCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College DublinUCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College DublinDepartment of Nutrition and Dietetics, Harokopio University of AthensDepartment of Nutrition and Dietetics, Harokopio University of AthensDepartment of Nutrition and Dietetics, Harokopio University of AthensInstitute of Food and Nutrition (IZZ)ZIEL Research Center of Nutrition and Food Sciences, Biochemistry Unit, Technische Universität MünchenUCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College DublinUCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College DublinVitas Ltd.Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of OsloUCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College DublinDepartment of Human Biology, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical CentreDepartment of Human Biology, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical CentreHugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of ReadingFood and Society Group, Newcastle UniversityHuman Nutrition Research Centre, Institute of Cellular Medicine, Newcastle UniversityCentre for Nutrition Research, Department of Nutrition, Food Science and Physiology, University of NavarraAbstract 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 .http://link.springer.com/article/10.1186/s12966-017-0624-6Food4MePersonalised nutritionSurveyHealthy eating indexMediterranean diet scoreNPSQ9