Browsing Social Sciences by Author "Mathers, J.C."
Application of Behavior Change Techniques in a Personalized Nutrition Electronic Health Intervention Study: Protocol for the Web-Based Food4Me Randomized Controlled TrialMacready, A.L.; Fallaize, R.; Butler, L.T.; Ellis, J.A.; Kuznesof, S.; Frewer, L.J.; Celis-Morales, C.; Livingstone, K.M.; Araujo-Soares, V.; Fischer, A.R.H.; et al. (2018)In order to determine the efficacy of behavior change techniques (BCT) applied in dietary and physical activity intervention studies, it is first necessary to record and describe techniques which have been used during such interventions. Published frameworks used in dietary and smoking cessation interventions undergo continuous development and most are not adapted for online delivery. The Food4Me study (N=1607) provided the opportunity to use existing frameworks to describe standardized online techniques employed in a large-scale internet-based intervention to change dietary behaviour and physical activity.
Capturing health and eating status through a Nutritional Perception Screening Questionnaire (NPSQ9) in a randomised internet-based personalised nutrition intervention: the Food4Me studySan-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.; et al. (2017-12)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.