University of Hertfordshire

From the same journal

By the same 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
  • Food4Me Study
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Original languageEnglish
Pages (from-to)168
JournalInternational Journal of Behavioral Nutrition and Physical Activity
Volume14
Issue1
DOIs
Publication statusPublished - 11 Dec 2017

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 .

ID: 13065199