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Int J Behav Nutr Phys Act. 2017 Dec 11;14(1):168. doi: 10.1186/s12966-017-0624-6.

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

Author information

1
Centre for Nutrition Research, Department of Nutrition, Food Science and Physiology, University of Navarra, C/Irunlarrea, 1, 31008, Pamplona, Spain.
2
Centre for Nutrition Research, Department of Nutrition, Food Science and Physiology, University of Navarra, C/Irunlarrea, 1, 31008, Pamplona, Spain. snavas@unav.es.
3
CIBER Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 28023, Madrid, Spain. snavas@unav.es.
4
Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle Upon Tyne, NE1 7RU, UK.
5
School of Psychology, University of Bradford, West Yorkshire, BD71DP, UK.
6
Northern Ireland Centre for Food and Health, University of Ulster, Coleraine, BT52 1SA, UK.
7
Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, RG6 6AA, UK.
8
UCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, 4, Republic of Ireland.
9
Department of Nutrition and Dietetics, Harokopio University of Athens, 17671, Athens, Greece.
10
Institute of Food and Nutrition (IZZ), 02-903, Warsaw, Poland.
11
ZIEL Research Center of Nutrition and Food Sciences, Biochemistry Unit, Technische Universität München, 85354, Munich, Germany.
12
Vitas Ltd., Oslo Science Park, Gaustadalléen 21, 0349, Oslo, Norway.
13
Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, 0317, Oslo, Norway.
14
Department of Human Biology, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, 6200 MD, The Netherlands.
15
Food and Society Group, Newcastle University, Newcastle Upon Tyne, NE1 7RU, UK.
16
CIBER Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 28023, Madrid, Spain.
17
Instituto de Investigaciones Sanitarias de Navarra (IDisNa), 31008, Pamplona, Spain.
18
Instituto Madrileño de Estudios Avanzados (IMDEA) Alimentacion, Madrid, Spain.

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 .

KEYWORDS:

Food4Me; Healthy eating index; Mediterranean diet score; NPSQ9; Nutritional status; Personalised nutrition; Survey

PMID:
29228998
PMCID:
PMC5725967
DOI:
10.1186/s12966-017-0624-6
[Indexed for MEDLINE]
Free PMC Article

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