A systematic scoping review of the literacy literature to develop a digital food and nutrition literacy model for low-income adults to make healthy choices in the online food retail ecosystem to reduce obesity risk

How may we effectively motivate people to reduce the consumption of meat? Results of a meta-analysis of randomized clinical trials

PURPOSE

Excessive meat consumption (MC) is associated with multiple health risks. Additionally, it can undermine environmental sustainability and affect the potential improvement of animal welfare. The aim of this study was to assess the efficacy of literacy interventions (LIs) in reducing MC.

METHODS

Studies assessing the efficacy of LIs addressing health risks, environmental sustainability and/or animal welfare in reducing MC were searched. We used random-effects meta-analysis to estimate the overall efficacy and conducted subgroup analyses to identify the most effective information contents. Additionally, meta-regression analyses investigated participants' age, LI duration, and follow-up length influence on LIs' efficacy.

RESULTS

Fourteen studies involving more than ten thousand subjects were meta-analyzed. The pooled estimate showed that LIs had a small (Hedges's g = 0.15; 95%CI: 0.06-0.25) but statistically significant effect in reducing MC. Subgroup analysis showed that the highest efficacy was achieved when subjects were alarmed about health risks (g = 0.29; 95% CI: -0.02, 0.60), compared to informing about the risks for the environment (g = 0.18; 95% CI: -0.15, 0.51) and for animal welfare (g = 0.02; 95%CI: -0.08, 0.11). The meta-regression analysis indicated that LIs had greater efficacy in younger individuals and when the intervention duration was longer. Conversely, it was suggested that efficacy improves as the length of follow-up increases.

CONCLUSIONS

Informing about health risks related to MC temporarily decreased its intake, while informing about the impact on environmental sustainability or animal welfare was ineffective. Furthermore, long-lasting LIs achieve long-term dietary change toward MC.

E-health Dietary Interventions for Participants of SNAP and WIC: A Systematic Review

The migration of federal assistance services to online platforms during the COVID-19 pandemic sparked interest in digital nutrition education for individuals participating in the Supplemental Nutrition Assistance Program (SNAP) and Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) programs. With federal government investing in the modernization of the nutrition education components of both programs, there is a need to identify science-backed electronic health (e-health) dietary interventions to improve health outcomes in this population. Therefore, the objective of this systematic literature review was to summarize the effectiveness, acceptability, and feasibility of e-health dietary interventions among individuals participating in WIC or SNAP. Keyword searches were performed in Google Scholar, PubMed, and Science Direct. The search included peer-reviewed literature from 2014 to 2023 and a few articles offering context about interventions used long-term by the nutrition assistance programs. PRISMA guidelines were followed to conduct this systematic literature review, which resulted in 36 articles eligible for extraction. The studies evaluated e-health (52.8%), short message service/text messaging (27.8%), and smartphone application interventions (19.4%) delivered to WIC or SNAP participants. The interventions identified aimed to modify food choice, eating behavior, and dietary intake among SNAP participants, SNAP-eligible adults, and WIC participants. Most interventions were developed using content delivery and health behavior theoretical frameworks (77.8%) and evidence-based nutritional recommendations (59.3%). Review findings show a high level of acceptability and feasibility for e-health and mobile health dietary interventions among WIC and SNAP participants but varying levels of effectiveness. Level of engagement, dosage, retention, and adherence were strong predictors of positive dietary behavior change regardless of the mode of intervention delivery. Future studies need to prioritize health equity by recruiting samples representative of food nutrition assistance participants and addressing digital health literacy as a potential barrier to intervention effectiveness, as none of the present studies measured literacy among participants.

The Effect of Sociodemographic and Anthropometric Variables on Nutritional Knowledge and Nutrition Literacy

Nutrition literacy, which is one of the important components of health literacy, includes basic nutritional information and understanding, interpreting and having the ability to make healthy decisions on nutrition-related issues. This study aims to dwell upon the relationship between sociodemographic and anthropometric variables and nutritional knowledge and nutrition literacy. A total of 1600 people aged 19-64 years, 934 women and 666 men, voluntarily participated in the research in the capital city of Turkey. The mean age is 28.2 ± 10.9 years. More than half of the participants (57.4%) have a university graduate/postgraduate education level, and 66.2% are unemployed. This cross-sectional study evaluated demographic information, anthropometric measurements, nutritional information and nutrition literacy. Nearly all the respondents (94.6%) were determined to have sufficient nutrition literacy. Body mass index (BMI) and age were negatively associated with nutrition literacy, whilst nutrition knowledge was positively associated. Respondents with nutrition education at school had the highest nutrition knowledge and nutrition literacy scores, and primary school graduates had the lowest. Participants who received nutrition education scored higher in all the subgroups of the GNKQ. Age, gender, marital status, education status, employment status, BMI and nutrition education were significantly associated with nutrition literacy. The results will be useful in developing food and nutrition policies that will pave the way for making decisions on the most useful themes of health and nutrition campaigns.

Children and teens must develop digital literacy skills to navigate complex and evolving food ecosystems

Ares et al 2023 discussed multisectoral strategies that practitioners could use to foster food literacy competencies (ie, relational, functional, and critical) across the lifespan. This letter encourages the authors to include digital food and nutrition literacy skills to help children and teens navigate a complex food ecosystem shaped by digital technologies. Existing digital food and nutrition literacy models and metrics could be adapted to enable young people to make healthy dietary choices within future sustainable food systems.

Spatial machine learning for predicting physical inactivity prevalence from socioecological determinants in Chicago, Illinois, USA

The increase in physical inactivity prevalence in the USA has been associated with neighborhood characteristics. While several studies have found an association between neighborhood and health, the relative importance of each component related to physical inactivity or how this value varies geographically (i.e., across different neighborhoods) remains unexplored. This study ranks the contribution of seven socioecological neighborhood factors to physical inactivity prevalence in Chicago, Illinois, using machine learning models at the census tract level, and evaluates their predictive capabilities. First, we use geographical random forest (GRF), a recently proposed nonlinear machine learning regression method that assesses each predictive factor's spatial variation and contribution to physical inactivity prevalence. Then, we compare the predictive performance of GRF to geographically weighted artificial neural networks, another recently proposed spatial machine learning algorithm. Our results suggest that poverty is the most important determinant in the Chicago tracts, while on the other hand, green space is the least important determinant in the rise of physical inactivity prevalence. As a result, interventions can be designed and implemented based on specific local circumstances rather than broad concepts that apply to Chicago and other large cities.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10109-023-00415-y.

A Scoping Review of Observational Studies on Food and Beverage Advertising on Social Media: A Public Health Perspective

Popular social media platforms have been actively used by ultra-processed food companies to promote their products. Being exposed to this type of advertising increases the consumption of unhealthy foods and the risk of developing obesity and other non-communicable diseases (NCDs). Thus, monitoring commercial content on social media is a core public health practice. We aimed to characterize the methods used for monitoring food advertising on social media and summarize the investigated advertising strategies via a scoping review of observational studies. This study is reported according to the MOOSE Statement, and its protocol was registered with the PROSPERO International Prospective Register of Systematic Reviews (registration nº. CRD42020187740). Out of the 6093 citations retrieved, 26 met our eligibility criteria. The studies were published from 2014 to 2021, mostly after 2018. They focused on Australia, Facebook, strategies aimed at children and adolescents, and advertising practices of ultra-processed food companies. We grouped strategies in eight classes: post features (n = 18); connectivity and engagement (n = 18); economic advantages, gifts, or competitions (n = 14); claims (n = 14); promotional characters (n = 12); brand in evidence (n = 8); corporate social responsibility or philanthropy (n = 7); and COVID-19 (n = 3). We found similarities in the investigation of strategies regardless of the type of social media. Our findings can contribute to the designing of tools for monitoring studies and regulatory mechanisms to restrict the exposure of food advertising.

Development and psychometric analysis of a new tool to assess food literacy in diabetic patients

Background

One of the factors affecting self-care in diabetic patients is food literacy, which helps said patients in following a healthy diet. Thus, it is crucial to analyze food literacy in diabetic patients through suitable and reliable instruments. 

Objective

The current study aimed to design a questionnaire for food literacy assessment in diabetic patients and analyze its psychometric features.

Method

The present study was a cross-sectional descriptive analysis carried out in 2021. Firstly, the concepts of food literacy in diabetic patients were identified and the questionnaire was deigned based on them. Secondly, its face and content validities and its reliability were analyzed. Finally, the construct validity was analyzed by exploratory factor analysis. The study was carried out on 300 diabetic participants chosen at random via stratified cluster sampling from Health service centers. The exploratory factor analysis was carried out by extracting the main factors and using varimax rotation with eigenvalue values more than 1.

Results

A five-pronged structure accounted for 52.745% of food literacy variance. This included the ability to read food facts, practical ability to group foods, the ability to identify the caloric content of different foods, the ability to understand the effect of food on health, and the ability to prepare a healthy meal. Items with an impact score below 1.5 were discarded. Additionally, items with CVR scores below 0.62 and CVI scores below 0.79 were deleted too. The Kaiser-Meyer-Okin measurement was 0.836 (p < 0.001). Alpha Cronbach Scale dimension was 0.610–0.951.

Conclusion

The results of this study showed that the exploratory dimensions of the current study were consistent with health literacy measurements, such as functional, interactive, and critical food literacy. This scale has acceptable reliability and validity. Health professionals can use this scale to analyze and improve food literacy in diabetic patients. This is a new instrument and thus far no questionnaire has been made to evaluate food literacy in diabetic patients.