Food Insecurity Prevalence, Severity and Determinants in Australian Households during the COVID-19 Pandemic from the Perspective of Women

Using Natural Language Processing to Explore Social Media Opinions on Food Security: Sentiment Analysis and Topic Modeling Study

BACKGROUND

Social media has the potential to be of great value in understanding patterns in public health using large-scale analysis approaches (eg, data science and natural language processing [NLP]), 2 of which have been used in public health: sentiment analysis and topic modeling; however, their use in the area of food security and public health nutrition is limited.

OBJECTIVE

This study aims to explore the potential use of NLP tools to gather insights from real-world social media data on the public health issue of food security.

METHODS

A search strategy for obtaining tweets was developed using food security terms. Tweets were collected using the Twitter application programming interface from January 1, 2019, to December 31, 2021, filtered for Australia-based users only. Sentiment analysis of the tweets was performed using the Valence Aware Dictionary and Sentiment Reasoner. Topic modeling exploring the content of tweets was conducted using latent Dirichlet allocation with BigML (BigML, Inc). Sentiment, topic, and engagement (the sum of likes, retweets, quotations, and replies) were compared across years.

RESULTS

In total, 38,070 tweets were collected from 14,880 Twitter users. Overall, the sentiment when discussing food security was positive, although this varied across the 3 years. Positive sentiment remained higher during the COVID-19 lockdown periods in Australia. The topic model contained 10 topics (in order from highest to lowest probability in the data set): "Global production," "Food insecurity and health," "Use of food banks," "Giving to food banks," "Family poverty," "Food relief provision," "Global food insecurity," "Climate change," "Australian food insecurity," and "Human rights." The topic "Giving to food banks," which focused on support and donation, had the highest proportion of positive sentiment, and "Global food insecurity," which covered food insecurity prevalence worldwide, had the highest proportion of negative sentiment. When compared with news, there were some events, such as COVID-19 support payment introduction and bushfires across Australia, that were associated with high periods of positive or negative sentiment. Topics related to food insecurity prevalence, poverty, and food relief in Australia were not consistently more prominent during the COVID-19 pandemic than before the pandemic. Negative tweets received substantially higher engagement across 2019 and 2020. There was no clear relationship between topics that were more likely to be positive or negative and have higher or lower engagement, indicating that the identified topics are discrete issues.

CONCLUSIONS

In this study, we demonstrated the potential use of sentiment analysis and topic modeling to explore evolution in conversations on food security using social media data. Future use of NLP in food security requires the context of and interpretation by public health experts and the use of broader data sets, with the potential to track dimensions or events related to food security to inform evidence-based decision-making in this area.

Harnessing community expertise in understanding food insecurity to inform responses in a local government area in Victoria, Australia: a mixed methods photovoice study

BACKGROUND

Local food systems which support affordable, equitable, accessible, and sustainable food are important to enhance food access and reduce food insecurity. Cardinia Shire Council, a local government in Victoria, Australia has developed and endorsed a 'Community Food Strategy' to support their local food system and food security. This study aimed to explore local government community member perspectives regarding food access within their local food environment, and suggested areas to be addressed to better support access.

METHODS

A sequential mixed methods photovoice methodology was implemented. Participants aged over 18 years, who resided in Cardinia Shire, completed an online quantitative survey to explore demographics, food access and food security status and severity (18-item USDA Household Food Security Survey Module). The qualitative photovoice method was used, whereby participants were asked to take photographs that represent their experiences of food access. These photographs were used as prompts in a semi-structured interview Interview data were thematically analysed.

RESULTS

Seventeen participants completed the study, of which five participants experienced varied severity levels of food insecurity. From the photovoice interviews four themes were developed: 1) Food: a connector to self, people and place, 2) Influencers of food access and triggers for food insecurity, 3) Savvy food literacy skills to support access to food, 4) Consequences of and struggles with food insecurity. Participants suggested recommendations for action to support future food access in their community.

CONCLUSIONS

While food choice is influenced by a range of determinants, the local food environment greatly impacts both food access and food choice. A supportive local food system which promotes inclusion of a community voice, community connectedness, food literacy and physical and economic access to local produce is crucial to support food security.

Changes in household food grocery shopping patterns in Melbourne, Australia during COVID-19 restrictions in 2020

OBJECTIVE

To investigate the impact of COVID-19 restrictions in Melbourne, 2020, on food grocery purchases.

METHODS

Grocery purchase data for 2019 and 2020 were accessed for 1,413 Melbourne households (NielsenIQ Homescan Consumer Panel) and linked to a nutrition composition database (FoodSwitch).

RESULTS

Per capita expenditure and dietary energy from groceries increased by 21.2% and 17.7%, respectively, during lockdowns, with marginally larger increases in expenditure and energy purchases from unhealthy products than healthy products (21.9% and 18.0% v 20.2% and 17.5%). The most socioeconomically disadvantaged households spent the least on but purchased the most energy from unhealthy products during lockdowns ($108 and 109MJ per capita per month), with the inverse found for the most advantaged households ($121 and 102MJ per capita per month). An increase in the overall proportion of total expenditure from unhealthy products during lockdowns was identified (+0.7%); however, there was no evidence of a difference in the proportion of energy purchased from unhealthy products. For most quintiles of household socioeconomic disadvantage/advantage, there were no statistically significant changes in the contribution of unhealthy products to total expenditure and energy purchases.

CONCLUSIONS

There was no substantial deterioration in the healthiness of grocery purchases during COVID-19 lockdowns in Melbourne. However, any additional purchases of unhealthy products are a concern. Further research on other sources of foods and drinks is also required to ascertain impacts on broader dietary patterns.

IMPLICATIONS FOR PUBLIC HEALTH

The increase in energy purchased may have implications for overweight and obesity as a risk factor for COVID-19 and chronic diseases. Governments and retailers may need to consider measures to encourage improved diet quality during future crises.

Food Insecurity, Food Assistance, and Psychological Distress among University Students: Cross-Sectional Survey Western Australia, 2020

University students have been identified as a population sub-group vulnerable to food insecurity. This vulnerability increased in 2020 due to the COVID-19 pandemic. This study aimed to assess factors associated with food insecurity among university students and the differences between students with and without children. A cross-sectional survey of (n = 213) students attending one university in Western Australia measured food insecurity, psychological distress, and socio-demographic characteristics. Logistic regression analyses were conducted to identify factors associated with food insecurity. Forty-eight percent of students who responded to the survey had experienced food insecurity in 2020. International students who were studying in Australia were nine times more likely to experience food insecurity than domestic students (AOR = 9.13; 95% CI = 2.32-35.97). International students with children were more likely to experience food insecurity than international students without children (p < 0.001) and domestic students with (p < 0.001) or without children (p < 0.001). For each unit increase in depression level, the likelihood of experiencing food insecurity increased (AOR = 1.62; 95% CI = 1.12-2.33). Findings show a higher prevalence of food insecurity among international university students and students with children during the COVID-19 pandemic and that food insecurity was associated with higher levels of psychological distress. These findings highlight the need for targeted interventions to mitigate the risk of food insecurity among Australian university students, particularly among international students, students with children, and those experiencing psychological distress.

Unraveling the Channels of Food Security of the Households in Northern Kenya: Evidence from an Exclusive Dataset

Background

Most of the 10 million Kenyans lacking food security lived in the arid and semi-arid northern part of the country in a climatic condition of high temperatures and very little rainfall throughout the year. Frequent droughts had devastating effects on the livelihoods and food availability of the population.

Objectives

The objective of this study was to assess the food security status of the households in Northern Kenya and examine the factors contributing to their food security.

Methods

De-identified secondary data were used from the 2015 Feed the Future household survey conducted in 9 counties of Northern Kenya. The experience-based indicator of food security was derived from the 6-item Household Food Security Survey Module (HFSSM), which categorized sample households into 3 groups: food secure, having low food security, and having very low food security. An ordered probit model and machine learning algorithm, namely ordered random forest, were used to find the most important determinants of food security.

Results

Findings suggest that the daily per capita food expenditure, level of education of the household head, and durable asset ownership are the key predictors of food security. Households living in rural areas were likely to have low food security, but their probability of being food secure increased with at least primary education and livestock ownership, thus reflecting the importance of education and livestock production among rural communities in Northern Kenya. Access to improved water and participation in food security programs were found to be more important for food security among rural households than they were for urban households.

Conclusions

These results implied that long-term policies on improving access to education, livestock ownership, and improved water may shape the food security status of rural households in Northern Kenya.

Prevalence and Severity of Food Insecurity Before and During the Coronavirus Disease 2019 Pandemic Among Adults and Youth in Australia, Canada, Chile, Mexico, the United Kingdom, and the United States

BACKGROUND

Disruptions from the coronavirus disease 2019 (COVID-19) pandemic potentially exacerbated food insecurity among adults and youth.

OBJECTIVES

The objective was to examine changes in the prevalence and severity of food insecurity among adults and youth from before (2019) to during (2020) the pandemic in multiple countries.

METHODS

Repeated cross-sectional data were collected among adults aged 18-100 y (n = 63,278) in 5 countries in November to December in 2018-2020 and among youth aged 10-17 y (n = 23,107) in 6 countries in November to December in 2019 and 2020. Food insecurity in the past year was captured using the Household Food Security Survey Module and the Child Food Insecurity Experiences Scale. Changes in the prevalence and severity of food insecurity were examined using logistic and generalized logit regression models, respectively. Models included age, gender, racial-ethnic identity, and other sociodemographic characteristics associated with food insecurity to adjust for possible sample differences across waves. Models were weighted to reflect each country's population.

RESULTS

Adults [adjusted OR (AOR): 1.15; 95% CI: 1.02, 1.31] and youth (AOR: 1.43; 95% CI: 1.19, 1.71) in Mexico were more likely to live in food-insecure households in 2020 compared to 2019. Adults in Australia (AOR: 0.81; 95% CI: 0.72, 0.92) and Canada (AOR: 0.87; 95% CI: 0.77, 0.99) were less likely to live in food-insecure households in 2020. Trends in severity aligned with changes in prevalence, with some exceptions. Youth in Australia (AOR: 2.24; 95% CI: 1.65, 3.02) and the United States (AOR: 1.39; 95% CI: 1.04, 1.86) were more likely to have many compared with no experiences of food insecurity in 2020 compared to 2019. There was no evidence of change among adults and youth in the remaining countries.

CONCLUSIONS

Except for Mexico, few changes in food insecurity among adults and youth were observed from before to during the COVID-19 pandemic. Action is needed to support households at risk of food insecurity. J Nutr 20XX;xx:xx-xx.

Food insecurity during COVID-19: An Australian university experience

The aim of this study was to describe the prevalence, severity, coping strategies and precipitating factors of food insecurity in university students in a large multi-campus Australian university during the COVID-19 lockdown in 2020, in context of providing information to inform institutional support. This was a cross-sectional analysis which was part of a larger university-led research project, the Thrive@Home study conducted at Monash University during the COVID-19 pandemic. The main outcome measures included: Sociodemographic characteristics, PROMIS anxiety, PROMIS depression and the six-item US Department of Agriculture Household Food Security Survey Module. All variables were reported according to the four levels of food security status (high (H), marginal (M), low (L) and very low (VL)). Chi-squared tests were used to compare all categorical variables including demographic, mental health and food security status. A multivariable regression was conducted between food security status and mental health variables. Overall, n = 1315 students were included in the analysis. Of which, 5% were classified as having VL food security, 13% L, 14% M and 68% H. As food security worsened the likelihood of being unemployed looking for work, living alone and deteriorating physical health, diet quality and mental health increased. As food security status deteriorated the prevalence of needing to ask family or friends for food, shopping at multiple outlets for discounts, accessing emergency food relief, subsidised meals and financial assistance from organisations increased (p < 0.002). In regression models adjusting for covariates, depression (b (95%CI): VL = 7.2(4.1-10.3), L = 3.7(1.7-5.7), M = 2.0(0.1-3.8)) and anxiety (VL = 7.4(4.5-10.4), L = 3.5(1.5-5.4) and M = 2.0(0.3-3.8)) were positively associated with worsening food security. Food insecurity during COVID-19 was associated with worsening mental health. This paper provides targets for future university-led initiatives to promote student food security and supporting better access to physical and mental health services.

Empirical analysis on the impact of the COVID-19 pandemic on food insecurity in South Africa

The study sought to ascertain the changes in the food insecurity status of households during the COVID-19 pandemic. The study made use of secondary data obtained from the 5 Waves of the National Income Dynamics Study-Coronavirus Rapid Mobile Survey (NIDS-CRAM). Descriptive statistics, food insecurity index and independent sample t-test were used to compare the mean differences in the food insecurity statuses of the households over the 5 Waves. The study found that there was an increase in food insecurity as the COVID-19 progressed from Wave 1 to 5. Significant differences at the 1% level were observed between Wave 5 and Wave 1 as well as between Wave 5 and Wave 3. The study concludes that there was food security in the initial progression of the COVID-19 pandemic which deteriorated. The study recommends a reconsideration of the scrapping of the top ups on the social grants. This will likely tighten the dire economic situation the households find themselves in. There is need to expand the social safety nets to accommodate the vulnerable in society. Short and localised value chains should be promoted to improve food accessibility during times of crisis.

How child inclusive were Australia's responses to COVID-19?

From March 2020, Australia introduced a range of policies to respond to COVID-19, most of which impacted significantly on the lives of children. This article applies a child-centred framework, developed from rights-based participatory research with children, to analyse how children have been represented in policy narratives around COVID-19 and the extent to which policy responses have been child-inclusive or child-centred. We argue that, overall, COVID-19 policy responses have failed to be child-inclusive or child-centred. This has important implications not only for understanding the impact of COVID-19 on children but also in understanding-and potentially rethinking-the place of children in policies as Australia emerges from COVID-19 restrictions.

Factors Associated with Food Insecurity in Latin America and the Caribbean Countries: A Cross-Sectional Analysis of 13 Countries

It is estimated that Latin America and the Caribbean (LAC) is the region with the second highest figures for food insecurity (FI) globally, with a prevalence of 40.9% in the entire region. This cross-sectional study analyzes the household factors associated with FI across 13 LAC countries. We used data from the first round of high-frequency phone surveys, conducted by the World Bank. Approximately 4 out of 10 people in LAC experienced FI during the first phase of the COVID-19 pandemic. FI was positively associated with the number of individuals aged from 5 to 18 years, the number of men, the illness, accident, or death of an income-earning household member, and health expenditure due to COVID-19 or other illnesses, as well as the increase in food prices, reduced family income, and job loss by a member of the household. On the other hand, households located in capital cities and those with more bedrooms were less likely to have experienced FI. The design of social policies must focus on the economic deficiencies experienced by the LAC population, with unemployment, reduced income, and high food costs being the main factors that must be addressed to ensure adequate nutrition.

A Food Relief Charter for South Australia-Towards a Shared Vision for Pathways Out of Food Insecurity

Chronic food insecurity persists in high-income countries, leading to an entrenched need for food relief. In Australia, food relief services primarily focus on providing food to meet immediate need. To date, there has been few examples of a vision in the sector towards client outcomes and pathways out of food insecurity. In 2016, the South Australian Government commissioned research and community sector engagement to identify potential policy actions to address food insecurity. This article describes the process of developing a co-designed South Australian Food Relief Charter, through policy–research–practice collaboration, and reflects on the role of the Charter as both a policy tool and a declaration of a shared vision. Methods used to develop the Charter, and resulting guiding principles, are discussed. This article reflects on the intentions of the Charter and suggests how its guiding principles may be used to guide collective actions for system improvement. Whilst a Charter alone may be insufficient to create an integrated food relief system that goes beyond the provision of food, it is a useful first step in enabling a culture where the sector can have a unified voice to advocate for the prevention of food insecurity.