Unravelling the food literacy puzzle: Evidence from Italy

Palumbo, Rocco; Adinolfi, Paola; Annarumma, Carmela; Catinello, Giuseppina; Tonelli, Marco; Troiano, Ersilia; Vezzosi, Stefania; Manna, Rosalba

doi:10.1016/j.foodpol.2018.12.004

Cited by 59 publications

(58 citation statements)

References 75 publications

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“…There is a dual relationship between food security and food literacy whereby inadequate food literacy may contribute to food insecurity and being food insecure may limit the ability to use food literacy skills to achieve adequate diet quality [11]. Some findings have shown that development of food and nutrition literacy components among children including learning about traditional food practices from elders, parents and families members, new food exposure, learning about seasonality and local foods, and food preparation skills as well as food and drink purchasing skills through improving reading and using traffic light and food labels, students grocery store/ supermarket tours make meaningful improve to children food choices.…”

Section: Introductionmentioning

confidence: 99%

Relationship between household food insecurity and food and nutrition literacy among children of 9–12 years of age: a cross-sectional study in a city of Iran

et al. 2020

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Objective The aim of this study was to assess the relationship between household food insecurity (HFI) with food and nutrition literacy (FNLIT) in a sample of Iranian children. This cross sectional study was performed on 315 children aged 9 to 12 years recruited from the primary schools throughout Mashhad, Iran. The Household Food Insecurity Access Scale (HFIAS) was used to assess the HFI. Also, overall FNLIT score and its sub-categories were evaluated using a validated 40-item questionnaire. Results The prevalence of HFI in the total sample was about 56%. Also, almost 14% of students had a low FNLIT score. Food insecure children had significantly lower levels of FNLT and some subscales including nutrition knowledge, food choice literacy, and food label literacy than the food-secure subjects, moreover, they had a higher likelihood of having low FNLIT score (OR = 2.89, CI 1.03–8.09; p = 0.04). In conclusion, there is a negative association between HFI and FNLIT in children. Further studies to confirm this finding are needed.

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Section: Introductionmentioning

confidence: 99%

Relationship between household food insecurity and food and nutrition literacy among children of 9–12 years of age: a cross-sectional study in a city of Iran

et al. 2020

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“…Despite being an increasingly recognised term, there is not yet a shared understanding of the construct's meaning and its components, resulting in a lack of theoretical consensus [8,9]. Most acknowledged empirical conceptualisations of food literacy include (i) the framework of Vidgen and Gallegos from Australia [3,7,10,[14][15][16][17][18][19][20], and (ii) the work of Desjardins and colleagues from Canada [21], which was later on revised by Thomas and coauthors [12,13,15]. Also from Canada, conceptualisations from (iii) Slater and coauthors [7,15,18] and from (iv) Cullen and colleagues [7,15,18,22,23] are considerably mentioned within the literature.…”

Section: Introductionmentioning

confidence: 99%

FOODLIT-PRO: Food Literacy Domains, Influential Factors and Determinants—A Qualitative Study

et al. 2019

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Poor eating habits are increasing the prevalence of weight-related issues, such as diabetes and cardiovascular diseases. Given the demand to improve individuals’ food knowledge and competencies aiming at healthier behaviours, the current investigation explores the concept of food literacy. Considering the lack of a shared understanding of food literacy, this study aims to explore food literacy’s domains, influential factors and determinants. Using a qualitative deductive-dominant content analysis, 30 experts from food-related fields were interviewed. The obtained outcomes were compared to available food literacy frameworks. Agreement among inter-raters was nearly perfect (k = 0.82). Yielding a total of 184 codes nested within 19 categories, identified domains were Origin, Safety, Choice and Decision, Select and Acquire, Plan, Preserve, Prepare, Cook, and Knowledge; influential factors included Nutrition, Psychological, Health, Learning Contexts, Policy, Industry, Sustainability, and Social and Cultural; External determinants were “Access to Food-Related Information”, “Perishable and/or Unreliable Food-Related Information”, “Family Dynamic and/or Identity”, and “Professionals’ Unpreparedness on Food-Related Expertise”, and Internal determinants included “Prioritise Food”, “Convenience and Practicality”, “Time and Financial Management”, “Previous Food-Related Habits”, and “Innate and Learned Flavour Preferences”. In conclusion, more than half of the identified attributes (62.5%) are corroborated by the current literature. However, the manifested content unmatched with the current frameworks of food literacy literature express food-literacy-related fields of action, knowledge, competencies, and determinants that have not yet been explored. As such, this study provides new and useful information concerning food literacy definition and development, by identifying its domains, factors of influence, and potential determinants. Moreover, this work paves the way for new measurements and interventions within this field.

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“…As a result, food literacy is described as a platform to support the development and maintenance of healthy dietary behaviours [6]. The current challenge is to measure the multiple components of food literacy to assess what is required to educate people make to healthy food choices [11,12,13].…”

Section: Introductionmentioning

confidence: 99%

Identifying Participants Who Would Benefit the Most from an Adult Food-literacy Program

Begley

Paynter²,

Butcher³

et al. 2019

IJERPH

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Food literacy programs aim to improve behaviours required to achieve a quality diet. The objectives of this study were to assess the demographic, food literacy related and dietary behaviour of participants enrolling in Food Sensations® for Adults, a free four-week food literacy program and identify the subgroup of participants who benefit most. Cross-sectional pre-program questionnaire data (n = 1626) from participants enrolling in the program was used to stratify into low, middle and high food-literacy tertiles. Factor scores from a reliability analysis of food literacy behaviours were then used to produce a composite score). Participants were 80.2% female, 56% aged 26 to 45 years and 73.3% from low to middle socio-economic areas. Demographic characteristics were not a significant predictor of the lowest composite food-literacy group. Those with the lowest composite food-literacy tertile score were more likely to have lower self-rated cooking skills, a negative attitude to the cost of healthy foods, lower intakes of fruits and vegetables and a higher frequency of consuming takeaway food and sugary drinks. Food literacy programs must focus on recruiting those who have low self-rated cooking skills, who consider healthy foods expensive and have poor dietary intakes and will most likely to benefit from such programs.

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Unravelling the food literacy puzzle: Evidence from Italy

Cited by 59 publications

References 75 publications

Relationship between household food insecurity and food and nutrition literacy among children of 9–12 years of age: a cross-sectional study in a city of Iran

Relationship between household food insecurity and food and nutrition literacy among children of 9–12 years of age: a cross-sectional study in a city of Iran

FOODLIT-PRO: Food Literacy Domains, Influential Factors and Determinants—A Qualitative Study

Identifying Participants Who Would Benefit the Most from an Adult Food-literacy Program

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