The objective was to examine risk and protective factors associated with pre- to early-pandemic changes in risk of household food insecurity (FI).

We re-enrolled families from two statewide studies (2017–2020) in an observational cohort (May–August 2020). Caregivers reported on risk of household FI, demographics, pandemic-related hardships, and participation in safety net programmes (e.g. Coronavirus Aid, Relief, and Economic Security (CARES) stimulus payment, school meals).

Maryland, USA.

Economically, geographically and racially/ethnically diverse families with preschool to adolescent-age children. Eligibility included reported receipt or expected receipt of the CARES stimulus payment or a pandemic-related economic hardship (n 496).

Prevalence of risk of FI was unchanged (pre-pandemic: 22 %, early-pandemic: 25 %, p = 0·27). Risk of early-pandemic FI was elevated for non-Hispanic Black (adjusted relative risk (aRR) = 2·1 (95 % CI 1·1, 4·0)) and Other families (aRR = 2·6 (1·3, 5·4)) and families earning ≤ 300 % federal poverty level. Among pre-pandemic food secure families, decreased income, job loss and reduced hours were associated with increased early-pandemic FI risk (aRR = 2·1 (1·2, 3·6) to 2·5 (1·5, 4·1)); CARES stimulus payment (aRR = 0·5 (0·3, 0·9)) and continued school meal participation (aRR = 0·2 (0·1, 0·9)) were associated with decreased risk. Among families at risk of FI pre-pandemic, safety net programme participation was not associated with early-pandemic FI risk.

The CARES stimulus payment and continued school meal participation protected pre-pandemic food secure families from early-pandemic FI risk but did not protect families who were at risk of FI pre-pandemic. Mitigating pre-pandemic FI risk and providing stimulus payments and school meals may support children’s health and reduce disparities in response to pandemics.

This study aims to determine whether ultra-processed foods (UPFs) are being discussed in news media in Australia and whether this terminology, as described in the NOVA system, is being applied accurately.

Interpretive content analysis of online and print media articles that mentioned UPFs from 2009 to 2023 in Australia.

Australia.

Online and print media articles.

A total of two hundred ninety-eight Australian media articles were captured. A substantial increase in the number of UPF articles was observed between 2017–2019 and 2021–2023. The UPF concept was inaccurately explained or defined in 32 % of the articles and was frequently used interchangeably with other descriptors, such as ‘highly or heavily processed food’, ‘junk food’, ‘unhealthy food’, ‘packaged food’ and ‘discretionary food’. Most of the articles had a health focus; however, sustainability interest increased, particularly in the past 18 months.

UPFs are increasingly being discussed in news media in Australia; however, the concept is still incorrectly presented in over a third of articles. This highlights the importance of improving the literacy about UPFs to ensure that messages are communicated in a way that is salient, accessible and accurate.

We assessed the impact of the COVID-19 pandemic and the protocol adaptations on cost and cost-effectiveness of community management of acute malnutrition (CMAM) program in South Sudan.

Retrospective program expenditure-based analysis of non-governmental organisation (NGO) CMAM programs for COVID-19 period (April 2020–December 2021) in respect to pre-COVID period (January 2019–March 2020).

Study was conducted as part of a bigger evaluation study in South Sudan.

International and national NGOs operating CMAM programs under the nutrition cluster participated in the study.

The average cost per child recovered from the programme declined by 20 % during COVID from $133 (range: $34–1174) pre-COVID to $107 (range: $20–333) during COVID. The cost per child recovered was negatively correlated with programme size (pre-COVID r-squared = 0·58; during COIVD r-squared = 0·50). Programmes with higher enrollment were cheaper compared with those with low enrolment. Salaries, ready to use food and community activities accounted for over two-thirds of the cost per recovery during both pre-COVID (69 %) and COVID (79 %) periods. While cost per child recovered decreased during COVID period, it did not negatively impact on the programme outcome. Enrolment increased by an average of 19·8 % and recovery rate by 4·6 % during COVID period.

Costs reduced with no apparent negative implication on recovery rates after implementing the COVID CMAM protocol adaptations with a strong negative correlation between cost and programme size. This suggests that investing in capacity, screening and referral at existing CMAM sites to enable expansion of caseload maybe a preferable strategy to increasing the number of CMAM sites in South Sudan.

Food advertising is an important determinant of unhealthy eating. However, analysing a large number of advertisements (ads) to distinguish between food and non-food content is a challenging task. This study aims to develop a machine learning-based method to automatically identify and classify food and non-food ad videos.

Methodological study to develop an algorithm model that prioritises both accuracy and efficiency in monitoring and classifying advertising videos.

From a collection of Brazilian television (TV) ads data, we created a database and split it into three sub-databases (i.e. training, validation and test) by extracting frames from ads. Subsequently, the training database was classified using the EfficientNet neural network. The best models and data-balancing strategies were investigated using the validation database. Finally, the test database was used to apply the best model and strategy, and results were verified with field experts.

The study used 2124 recorded Brazilian TV programming hours from 2018 to 2020. It included 703 food ads and over 20 000 non-food ads, following the protocol developed by the INFORMAS network for monitoring food marketing on TV.

The results showed that the EfficientNet neural network associated with the balanced batches strategy achieved an overall accuracy of 90·5 % on the test database, which represents a reduction of 99·9 % of the time spent on identifying and classifying ads.

The method studied represents a promising approach for differentiating food and non-food-related video within monitoring food marketing, which has significant practical implications for researchers, public health policymakers, and regulatory bodies.

To estimate dietary fluoride intake (F) over the course of pregnancy and the overall adjusted difference in dietary F intake by pregnancy stages and levels of compliance with dietary recommendations.

Secondary data analysis from a longitudinal pregnancy cohort study in a population exposed to fluoridated salt. Women were followed during the early, middle and late stages of their pregnancy (n 568). The dietary intake of recommended prenatal nutrients according to Mexican dietary guidelines and F intake (mg/d) was estimated with a validated FFQ. Data were summarised with descriptive statistics. Levels of F intake were compared with the USA’s Institute of Medicine adequate intake (AI) of 3 mg/d for pregnancy. Adjusted differences in F intake by pregnancy stages and levels of compliance with recommendations were estimated using random effects models.

Mexico City.

Women participating in the Early Life Exposures in Mexico to ENvironmental Toxicants (ELEMENT) project, from 2001 to 2003.

Median dietary F intake throughout pregnancy ranged from 0·64 (interquartile range (IQR) 0·38) in the early to 0·70 (IQR 0·42) in the middle, and 0·72 (IQR 0·44) mg/d in the late stage (0·01 mg F/kg per d). Corresponding adjusted intakes of F were 0·72 (95 % CI 0·70, 0·74), 0·76 (95 % CI 0·74, 0·77) and 0·80 (95 % CI 0·78, 0·82) mg/d. Women who were moderately and highly compliant with Mexican dietary recommendations ingested, on average, 0·04 and 0·14 mg F/d more than non-compliant women (P < 0·005).

Dietary F intake was below current AI, was greater with the progression of pregnancy and in women who were moderately and highly compliant with dietary recommendations.

Identifying factors that may influence aflatoxin exposure in children under 5 years of age living in farming households in western Kenya.

We used a mixed methods design. The quantitative component entailed serial cross-sectional interviews in 250 farming households to examine crop processing and conservation practices, household food storage and consumption and local understandings of aflatoxins. Qualitative data collection included focus group discussions (N 7) and key informant interviews (N 13) to explore explanations of harvesting and post-harvesting techniques and perceptions of crop spoilage.

The study was carried out in Asembo, a rural community where high rates of child stunting exist.

A total of 250 female primary caregivers of children under 5 years of age and thirteen experts in farming and food management participated.

Study results showed that from a young age, children routinely ate maize-based dishes. Economic constraints and changing environmental patterns guided the application of sub-optimal crop practices involving early harvest, poor drying, mixing spoiled with good cereals and storing cereals in polypropylene bags in confined quarters occupied by humans and livestock and raising risks of aflatoxin contamination. Most (80 %) smallholder farmers were unaware of aflatoxins and their harmful economic and health consequences.

Young children living in subsistence farming households may be at risk of exposure to aflatoxins and consequent ill health and stunting. Sustained efforts to increase awareness of the risks of aflatoxins and control measures among subsistence farmers could help to mitigate practices that raise exposure.

To quantify associations between four types of social support and measured adiposity among women and men.

The cross-sectional sample from the Canadian Longitudinal Study on Aging (CLSA, 2012–2015). Height, weight and waist circumference (WC) were clinically measured, and perceived availability of informational, tangible, emotional and belonging social supports was self-reported.

Canada.

28 779 adults aged 45–85 years from the CLSA.

All social support types were associated with WC and BMI among women but not among men. Women reporting the lowest informational support had significantly higher mean BMI (28·84 kg/m2 (95 % CI 28·63, 29·05)) and WC (90·81 cm (95 % CI 90·31, 91·30)) compared with women reporting maximum support (respectively, 28·09 kg/m2 (95 % CI 27·88, 28·30) and 88·92 cm (95 % CI 88·43, 89·4)). Women’s abdominal obesity was associated with low levels of informational, emotional and belonging support, and women’s general obesity with informational and emotional support. Notably, informational and emotional support were associated with both obesity outcomes independent of other supports among women. Only a low level of informational support was significantly independently associated with higher odds of obesity among men.

Our study provides novel insights into gender-specific associations between different types of social support and adiposity. Prospective studies are needed to further investigate potential causality of these associations between the specific social supports and future weight status, especially among women.

The present study provides ranges for the magnitude of bias caused by measurement error in stunting rates, a widely used a proxy for long-term nutritional status.

Stunting, which is determined by the number of cases that fall below −2 sd from the mean height-for-age in the population, mechanically increases with higher variance. This variance stems from both natural heterogeneity in the population and measurement error. To isolate the effect of measurement error, we model the true distributions which could give rise to the observed distributions after subtracting a simulated measurement error.

We analyse information from three rounds of the Demographic and Health Survey (DHS) in Egypt (2005, 2008 and 2014). Egypt ranks high among developing countries with low-quality anthropometric data collected in the DHS, currently the main source of anthropometry in the country.

The study relies on re-analysis of existing DHS data, which record height, weight and age data for children under 5 years old.

Under the most conservative assumptions about measurement error, the stunting rate falls by 4 percentage points for the most recent DHS round, while assuming higher levels of measurement error reduces the stunting rate more dramatically.

Researchers should be aware of and adjust for data quality concerns in calculating stunting rates for cross-survey comparisons or in communicating to policy makers.

To investigate whether financial constraint and perceived stress modify the effects of food-related taxes on the healthiness of food purchases.

Moderation analyses were conducted with data from a trial where participants were randomly exposed to: a control condition with regular food prices, an sugar-sweetened beverage (SSB) tax condition with a two-tiered levy on the sugar content in SSB (5–8 g/100 ml: €0·21 per l and ≥8 g/100 ml: €0·28 per l) or a nutrient profiling tax condition where products with Nutri-Score D or E were taxed at a 20 percent level. Outcome measures were overall healthiness of food purchases (%), energy content (kcal) and SSB purchases (litres). Effect modification was analysed by adding interaction terms between conditions and self-reported financial constraint or perceived stress in regression models. Outcomes for each combination of condition and level of effect modifier were visualised.

Virtual supermarket.

Dutch adults (n 386).

Financial constraint or perceived stress did not significantly modify the effects of food-related taxes on the outcomes. Descriptive analyses suggest that in the control condition, the overall healthiness of food purchases was lowest, and SSB purchases were highest among those with moderate/high levels of financial constraint. Compared with the control condition, in a nutrient profiling tax condition, the overall healthiness of food purchases was higher and SSB purchases were lower, especially among those with moderate/high levels of financial constraint. Such patterns were not observed for perceived stress.

Further studies with larger samples are recommended to assess whether food-related taxes differentially affect food purchases of subgroups.