Food systems determinants of nutritional health and wellbeing in urban informal settlements: A scoping review in LMICs

Food inequity and insecurity and MASLD: burden, challenges, and interventions

Liver disease prevalence, severity, outcomes and hepatic risk factors (for example, unhealthy diet) are heavily affected by socioeconomic status and food insecurity. Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent liver disease globally and is likely to co-occur with other liver diseases associated with food insecurity. Though weight reduction and adopting a healthy diet can reverse the course of MASLD, gaps between recommendations and practice transcend individual responsibility and preference. Broader sociocultural determinants of food choices (social nutrition) include food insecurity, community and social norms and the local environment, including commercial pressures that target people experiencing poverty, ethnic minorities and children. Food insecurity is a barrier to a healthy diet, as a low-quality diet is often less expensive than a healthy one. Consequently, food insecurity is an 'upstream' risk factor for MASLD, advanced fibrosis and greater all-cause mortality among patients with liver disease. Intervening on food insecurity at four major levels (environment, policy, community and health care) can reduce the burden of liver disease, thereby reducing social and health inequities. In this Review, we report on the current research in the field, the need for implementing proven interventions, and the role liver specialists can have.

How Livelihood Change Affects Food Choice Behaviors in Low- and Middle-Income Countries: A Scoping Review

Livelihoods have changed dramatically over the past decade in low- and middle-income countries (LMIC). These shifts are happening in tandem with shifts in individual and household food choice behaviors. This scoping review aimed to identify and characterize mechanisms through which livelihood changes could affect food choice behaviors in LMIC, including behaviors relating to food production, acquisition, preparation, distribution, and consumption. A literature search was conducted using 4 databases: PubMed, PsycInfo, AGRICOLA, and Embase. The search was further enhanced by expert solicitations. Studies were included if they measured or focused on a livelihood change, described or assessed a change in ≥1 food choice behavior, and focused on LMIC. Studies were excluded if they focused on migration from LMIC to a high-income country. Of the 433 articles that were identified, 53 met the inclusion criteria. Five mechanisms of how livelihood change can affect food choice were identified: occupation, locality, time, income, and social relations. Changes in occupation altered the balance of the availability and affordability of foods in local food environments compared with individual food production. Changes in location, time use, and income influenced where food was purchased, what types of foods were acquired, and how or where foods were prepared. Additionally, changes in social relationships and norms led to expanded food preferences, particularly among urban populations. Time limitations and higher discretionary income were associated with consumption of ultraprocessed foods. Understanding the relationships between the changes in livelihood occuring in LMIC and food choices of households in these countries can inform the development of policies, programs, and other actions to promote sustainable healthy diets and planetary health.

NutriGreen image dataset: a collection of annotated nutrition, organic, and vegan food products

Introduction

In this research, we introduce the NutriGreen dataset, which is a collection of images representing branded food products aimed for training segmentation models for detecting various labels on food packaging. Each image in the dataset comes with three distinct labels: one indicating its nutritional quality using the Nutri-Score, another denoting whether it is vegan or vegetarian origin with the V-label, and a third displaying the EU organic certification (BIO) logo.

Methods

To create the dataset, we have used semi-automatic annotation pipeline that combines domain expert annotation and automatic annotation using a deep learning model.

Results

The dataset comprises a total of 10,472 images. Among these, the Nutri-Score label is distributed across five sub-labels: Nutri-Score grade A with 1,250 images, grade B with 1,107 images, grade C with 867 images, grade D with 1,001 images, and grade E with 967 images. Additionally, there are 870 images featuring the V-Label, 2,328 images showcasing the BIO label, and 3,201 images without before-mentioned labels. Furthermore, we have fine-tuned the YOLOv5 segmentation model to demonstrate the practicality of using these annotated datasets, achieving an impressive accuracy of 94.0%.

Discussion

These promising results indicate that this dataset has significant potential for training innovative systems capable of detecting food labels. Moreover, it can serve as a valuable benchmark dataset for emerging computer vision systems.

How are intra-household dynamics, gender roles and time availability related to food access and children's diet quality during the Covid-19 lockdown?

The association between food access and children's diet quality has been documented mainly from its external dimension (e.g., availability, prices, food properties, and marketing). However, existing research has underscored that the external food environment cannot fully account for variations in children's diet quality, even amid the COVID-19 lockdown. It is increasingly evident that elements within the domestic food environment also play a crucial role in shaping this relationship. Specifically, gender roles influence how food is procured and consumed, along with challenges related to time constraints. This study explores the influence of the domestic time-gender axis and household dynamics in food access and children's dietary quality in 14 female-headed households in Santiago, Chile, during the COVID-19 lockdown. Employing a photo-elicitation exercise, we engaged with families residing in the same urban neighborhood but exhibiting varying levels of dietary quality among their children. Our analysis utilized a framework incorporating both socio-ecological food environment and gender theories. Our findings show that within these households, only one unit of "person-time" was available to address all food and caregiving tasks. Due to an unequal gender system, this limited time allocation was disproportionately absorbed by women, who were already burdened with multiple responsibilities. The lack of time favors the consumption of ultra-processed foods and hinders the intake of fresh foods. Other associated intrahousehold dynamics, such as children's fussiness and special diets, accentuates these time scarcity consequences. These difficulties were further exacerbated by strategies adopted in response to the COVID-19 lockdown, however, in families where food-related responsibilities were shared more equitably the lockdown was less disrupting. These results indicate that on top of external food environment policies, comprehensive gender-transformative policies that include food socialization processes are needed to promote healthier diets among all.