scholarly journals Towards the measurement of food literacy with respect to healthy eating: the development and validation of the self perceived food literacy scale among an adult sample in the Netherlands

Author(s):  
Maartje P. Poelman ◽  
S. Coosje Dijkstra ◽  
Hanne Sponselee ◽  
Carlijn B. M. Kamphuis ◽  
Marieke C. E. Battjes-Fries ◽  
...  
PLoS ONE ◽  
2014 ◽  
Vol 9 (9) ◽  
pp. e106848 ◽  
Author(s):  
Fabiane Frota da Rocha Morgado ◽  
Angela Nogueira Neves Betanho Campana ◽  
Maria da Consolação Gomes Cunha Fernandes Tavares

Author(s):  
Hyeona So ◽  
Dahyun Park ◽  
Mi-Kyung Choi ◽  
Young-Sun Kim ◽  
Min-Jeong Shin ◽  
...  

Food literacy refers to the knowledge, skills, and attitudes required for individuals to choose foods that promote health. As the rate of diet-related diseases increases, food literacy is becoming more important. However, there are no tools available to evaluate food literacy among the Korean elderly. We derived 547 questions from a literature review and, after three rounds of Delphi surveys, selected 33 preliminary questions. We calculated the content validity ratio of the questions and applied a face validity procedure. We then selected 32 questions, assessed their validity, and distributed them as a questionnaire to 205 elderly people. We then conducted exploratory factor analysis (EFA) to determine the validity of the questionnaire and used an internal consistency index (Cronbach’s α coefficient) to determine reliability. Based on the factor analysis, 13 questions were selected, distributed among three factors, and evaluated using the Kaiser–Meyer–Olkin (KMO) and Bartlett sphericity tests. The factor analysis showed that KMO was 0.872, which is a highly acceptable score, and the Bartlett sphericity test was χ2 = 1,374.69 at p = 0.00. The food literacy questionnaire developed in this study will likely be helpful for improving the healthcare of elderly people.


2019 ◽  
Vol 11 (8) ◽  
pp. 774-781 ◽  
Author(s):  
Aleda M.H. Chen ◽  
Stephanie Cailor ◽  
Thad Franz ◽  
Neal Fox ◽  
Phillip Thornton ◽  
...  

SAGE Open ◽  
2016 ◽  
Vol 6 (3) ◽  
pp. 215824401666477
Author(s):  
Yan Wu ◽  
Qimin Liang ◽  
Bi Li

Appetite ◽  
2021 ◽  
Vol 156 ◽  
pp. 104848
Author(s):  
Nanna Wurr Stjernqvist ◽  
Peter Elsborg ◽  
Cecilie Karen Ljungmann ◽  
Jette Benn ◽  
Ane Høstgaard Bonde

2008 ◽  
Vol 38 (1) ◽  
pp. 104-115 ◽  
Author(s):  
Stephen P. Lewis ◽  
Darcy A. Santor

2018 ◽  
Vol 72 (6) ◽  
pp. 471-476 ◽  
Author(s):  
Arie Kapteyn ◽  
James Banks ◽  
Mark Hamer ◽  
James P Smith ◽  
Andrew Steptoe ◽  
...  

BackgroundPhysical activity (PA) is important for maintaining health, but there are fundamental unanswered questions on how best it should be measured.MethodsWe measured PA in the Netherlands (n=748), the USA (n=540) and England (n=254), both by a 7 day wrist-worn accelerometer and by self-reports. The self-reports included a global self-report on PA and a report on the frequency of vigorous, moderate and mild activity.ResultsThe self-reported data showed only minor differences across countries and across groups within countries (such as different age groups or working vs non-working respondents). The accelerometer data, however, showed large differences; the Dutch and English appeared to be much more physically active than Americans h (For instance, among respondents aged 50 years or older 38% of Americans are in the lowest activity quintile of the Dutch distribution). In addition, accelerometer data showed a sharp decline of PA with age, while no such pattern was observed in self-reports. The differences between objective measures and self-reports occurred for both types of self-reports.ConclusionIt is clear that self-reports and objective measures tell vastly different stories, suggesting that across countries people use different response scales when answering questions about how physically active they are.


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