scholarly journals Changing probability of experiencing food insecurity by socioeconomic and demographic groups during the COVID-19 pandemic in the UK

2020 ◽  
Author(s):  
Jonathan Koltai ◽  
Veronica Toffolutti ◽  
Martin McKee ◽  
David Stuckler
Keyword(s):  
Logistic Regression ◽  
Food Insecurity ◽  
Vulnerable Groups ◽  
Food Bank ◽  
Demographic Groups ◽  
Logistic Regression Models ◽  
Employment Transitions ◽  
Percentage Points ◽  
Population Prevalence ◽  
The Uk

Background: Food supply concerns have featured prominently in the UK response to the COVID-19 pandemic. We assess changes in food insecurity in the UK population from April to July 2020. Method: We analyze 11,095 respondents from the April through July waves of the Understanding Society COVID-19 longitudinal study survey linked with Wave 9 of the UK Understanding Society study. Food insecurity was defined as having used a food bank in the last 4 weeks; being hungry but not eating in the last week; or not able to eat healthy and nutritious food in the last week. Unadjusted estimates to examine changes in population prevalence and logistic regression were used to assess the association between employment transitions and food insecurity. Findings: The prevalence of reporting at least one form of food insecurity rose from 7.1% in April to 20.2% by July 2020. Some of the largest increases were among Asian respondents (22.91 percentage points), the self-employed (15.90 percentage points), and 35-44-year-olds (17.08 percentage points). In logistic regression models, those moving from employment to unemployment had higher odds of reporting food insecurity relative to furloughed individuals (OR=2.23; 95% CI: 1.20 to 4.13) and to the persistently employed (OR=2.38; 95% CI: 1.33 to 4.27), adjusting for sociodemographic characteristics. Furloughed individuals did not differ significantly in their probability of experiencing food insecurity compared to the persistently employed (OR=1.07; 95% CI: 0.83 to 1.37). Interpretation: Food insecurity has increased substantially in the UK. Steps are needed to provide subsidies or food support to vulnerable groups.

scholarly journals The rise of hunger among low-income households: an analysis of the risks of food insecurity between 2004 and 2016 in a population-based study of UK adults

2019 ◽  
Vol 73 (7) ◽  
pp. 668-673 ◽  
Author(s):  
Rachel Loopstra ◽  
Aaron Reeves ◽  
Valerie Tarasuk
Keyword(s):  
Logistic Regression ◽  
Food Insecurity ◽  
Low Income ◽  
Regression Models ◽  
Population Based ◽  
Exact Matching ◽  
Nutrition Survey ◽  
Logistic Regression Models ◽  
The Uk ◽  
Low Income Households

BackgroundRising food bank use in the past decade in the UK raises questions about whether food insecurity has increased. Using the 2016 Food and You survey, we describe the magnitude and severity of the problem, examine characteristics associated with severity of food insecurity, and examine how vulnerability has changed among low-income households by comparing 2016 data to the 2004 Low Income Diet and Nutrition Survey.MethodsThe Food and You survey is a representative survey of adults living in England, Wales, and Northern Ireland (n=3118). Generalised ordered logistic regression models were used to examine how socioeconomic characteristics related to severity of food insecurity. Coarsened exact matching was used to match respondents to respondents in the 2004 survey. Logistic regression models were used to examine if food insecurity rose between survey years.Results20.7% (95% CI 18.7% to 22.8%) of adults experienced food insecurity in 2016, and 2.72% (95% CI 2.07% to 3.58%) were severely food insecure. Younger age, non-white ethnicity, low education, disability, unemployment, and low income were all associated with food insecurity, but only the latter three characteristics were associated with severe food insecurity. Controlling for socioeconomic variables, the probability of low-income adults being food insecure rose from 27.7% (95% CI 24.8% to 30.6 %) in 2004 to 45.8% (95% CI 41.6% to 49.9%) in 2016. The rise was most pronounced for people with disabilities.ConclusionsFood insecurity affects economically deprived groups in the UK, but unemployment, disability and low income are characteristics specifically associated with severe food insecurity. Vulnerability to food insecurity has worsened among low-income adults since 2004, particularly among those with disabilities.

scholarly journals Sex Differences in the Association Between Food Insecurity and Obesity Among College Students

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 181-181
Author(s):  
Aseel El Zein ◽  
Karla Shelnutt ◽  
Sarah Colby ◽  
Geoffrey Greene ◽  
Wenjun Zhou ◽  
...  
Keyword(s):  
College Students ◽  
Logistic Regression ◽  
Food Security ◽  
Food Insecurity ◽  
Cross Sectional Study ◽  
High Food ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Food And Agriculture ◽  
Increased Risk

Abstract Objectives This study aimed to assess the association between food insecurity and obesity and to examine whether it varies by sex. Methods A cross-sectional study was conducted in spring 2017 among college students from eight U.S. institutions. Participants (n = 683) completed the USDA Adult Food Security Survey and had their weight and height measured by researchers. Multivariate logistic regression models were used to estimate the sex-specific associations between food insecurity and obesity (BMI ≥ 30 kg/m2), after adjusting for socioeconomic covariates. Results Overall, 25.4% of students identified as food insecure and 10.5% were obese. The prevalence of obesity increased as the level of food insecurity increased, from 5.2% for those with high food security, 13.4% for those with marginal food security, to 17.4% and 21.6% for students with low and very low food security. In logistic regression analysis, marginal, low and very low food security students had an odds ratio of 2.83 (95% CI: 1.43, 5.57), 3.86 (95% CI: 1.88, 7.91), and 5.05 (95% CI:, 2.44, 10.48) of obesity compared to students with high food security, exhibiting a dose-response relationship. Among females, having marginal (OR = 4.21, 95% CI: 1.70, 9.75), low (OR = 4.51, 95% CI: 1.40, 12.47), or very low food security (OR = 7.08, 95% CI: 2.60, 18.41) predicted higher odds of obesity compared to female students with high food security. Among males, those with low food security had higher odds of obesity (OR = 6.40, 95% CI: 1.78, 20.7). Conclusions The association between food insecurity and obesity in U.S. college students remained after adjustment for multiple socio-economic factors. Overall, food insecure females experienced an increase in the risk of obesity as food insecurity increased; however, only males with low food security had an increased risk of obesity. Programs directed toward obesity prevention need to address any level of food insecurity as a risk factor in females, and target males with low food security. Although beyond the scope of this study, it is possible that programs to reduce food insecurity may help prevent obesity in college students. Funding Sources This material is based upon work that is supported by the National Institute of Food and Agriculture, U.S. Department of Agriculture, under award number 2014–67,001-21,851.

scholarly journals Impact of Welfare Benefit Sanctioning on Food Insecurity: a Dynamic Cross-Area Study of Food Bank Usage in the UK

2018 ◽  
Vol 47 (3) ◽  
pp. 437-457 ◽  
Author(s):  
RACHEL LOOPSTRA ◽  
JASMINE FLEDDERJOHANN ◽  
AARON REEVES ◽  
DAVID STUCKLER
Keyword(s):  
Food Insecurity ◽  
Unemployment Insurance ◽  
Local Authority ◽  
Food Distribution ◽  
Food Banks ◽  
Food Bank ◽  
Welfare Benefit ◽  
Household Food ◽  
The Uk ◽  
The Impact

AbstractSince 2009, the UK has witnessed marked increases in the rate of sanctions applied to unemployment insurance claimants, as part of a wider agenda of austerity and welfare reform. In 2013, over one million sanctions were applied, stopping benefit payments for a minimum of four weeks and potentially leaving people facing economic hardship and driving them to use food banks. Here we explore whether sanctioning is associated with food bank use by linking data from The Trussell Trust Foodbank Network with records on sanctioning rates across 259 local authorities in the UK. After accounting for local authority differences and time trends, the rate of adults fed by food banks rose by an additional 3.36 adults per 100,000 (95% CI: 1.71 to 5.01) as the rate of sanctioning increased by 10 per 100,000 adults. The availability of food distribution sites affected how tightly sanctioning and food bank usage were associated (p< 0.001); in areas with few distribution sites, rising sanctions led to smaller increases in food bank usage. In conclusion, sanctioning is closely linked with rising food bank usage, but the impact of sanctioning on household food insecurity is not fully reflected in available data.

scholarly journals The Impact of Covid-19 on Food Security. A qualitative analysis of the rise in London’s existing food insecurity due to the financial impact of Covid-19

2021 ◽  
Vol 12 (1) ◽  
pp. 40-50
Author(s):  
Leandra Geyser
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Working Hours ◽  
Financial Impact ◽  
Vulnerable Groups ◽  
Health Crisis ◽  
Global Food Security ◽  
The Government ◽  
The Uk ◽  
The Impact

Background: The lockdown, enforced by government to limit the spread of Covid-19, has resulted in economic standstill equating to decreased working hours, pay cuts and job losses which has caused an increase in food insecurity. In the latest global food security report, 3.4 million people in the UK alone were found to be moderately to severely food insecure. Since the lockdown began, 8 million people have reported food insecurity which disproportionately effects those most vulnerable. This study aims to determine who these vulnerable groups to food insecurity are in the UK and what needs to be done to facilitate positive change and minimise future inequalities. Methods: This observational quantitative study makes use of the Understanding Society Covid-19 survey data which forms part of a longstanding longitudinal study that has acted as a representative of all households within the UK since 2009. Access to raw data was granted by the UK Data Service and was analysed using the appropriate SPSS tests. The original sample was stratified to be representative of London, which then consisted of 1849 respondents. Selected questions relating to financial and food bank use were analysed using SPSS and compared between February (pre-lockdown) and April (post-lockdown). Results: Black, Asian and Minority Ethnic (BAME) respondents and those not born in the UK had significantly less monthly income than their counterparts in February and remained significantly lower during the lockdown. These groups also had an increased dependency on foodbanks since the start of the pandemic. Conclusion: BAME communities and those not born in the UK are revealed to be the most vulnerable groups to food insecurity. The government has taken steps to mitigate the negative financial impact of the pandemic for some, yet many had to rely on non-governmental organisations (NGOs) to fill in the gaps. The current health crisis provides an opportunity for change and the UK government should act now to prevent many more becoming victims to food insecurity.

scholarly journals How COVID-19 has exposed inequalities in the UK food system: The case of UK food and poverty

2020 ◽  
Vol 2 ◽  
pp. 11 ◽  
Author(s):  
Madeleine Power ◽  
Bob Doherty ◽  
Katie Pybus ◽  
Kate Pickett
Keyword(s):  
Food Insecurity ◽  
Economic Crisis ◽  
Low Income ◽  
Food System ◽  
Vulnerable Groups ◽  
Food Banks ◽  
Ethical Implications ◽  
The Government ◽  
The Uk ◽  
Household Incomes

This article draws upon our perspective as academic-practitioners working in the fields of food insecurity, food systems, and inequality to comment, in the early stages of the pandemic and associated lockdown, on the empirical and ethical implications of COVID-19 for socio-economic inequalities in access to food in the UK. The COVID-19 pandemic has sharpened the profound insecurity of large segments of the UK population, an insecurity itself the product of a decade of ‘austerity’ policies. Increased unemployment, reduced hours, and enforced self-isolation for multiple vulnerable groups is likely to lead to an increase in UK food insecurity, exacerbating diet-related health inequalities. The social and economic crisis associated with the pandemic has exposed the fragility of the system of food charity which, at present, is a key response to growing poverty. A vulnerable food system, with just-in-time supply chains, has been challenged by stockpiling. Resultant food supply issues at food banks, alongside rapidly increasing demand and reduced volunteer numbers, has undermined many food charities, especially independent food banks. In the light of this analysis, we make a series of recommendations. We call for an immediate end to the five week wait for Universal Credit and cash grants for low income households. We ask central and local government to recognise that many food aid providers are already at capacity and unable to adopt additional responsibilities. The government’s - significant - response to the economic crisis associated with COVID-19 has underscored a key principle: it is the government’s responsibility to protect population health, to guarantee household incomes, and to safeguard the economy. Millions of households were in poverty before the pandemic, and millions more will be so unless the government continues to protect household incomes through policy change.

Abstract P879: Differences in Statistical Performance of Polygenic Risk Scores for Cardiovascular Disease Across Different Race/Ethnicities

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Julian N Acosta ◽  
Cameron Both ◽  
Natalia Szejko ◽  
Stacy Brown ◽  
Kevin N Sheth ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Logistic Regression ◽  
Genetic Risk ◽  
Regression Models ◽  
Risk Scores ◽  
Uk Biobank ◽  
Polygenic Risk ◽  
Logistic Regression Models ◽  
The Uk ◽  
Significant Health

Introduction: Genome-wide association studies have identified numerous genetic risk variants for stroke and myocardial infarction (MI) in Europeans. However, the limited applicability of these results to non-Europeans due to racial/ethnic differences in the genetic architecture of cardiovascular disease (CVD), coupled with the limited availability of genomic data in non-Europeans, may create significant health disparities now that genomic-based precision medicine is a reality. We tested the hypothesis that the performance of polygenic risk scores (PRS) for CVD differ in Europeans versus non-Europeans. Methods: We conducted a nested study within the UK Biobank, a prospective, population-based study that enrolled ~500,000 participants across the UK. For this study, we identified self-reported black participants and randomly matched them 1:1 by age and sex with white participants. We created a PRS using previously discovered loci for stroke and MI. We then tested whether this PRS representing the aggregate polygenic susceptibility to CVD yielded similar precision in black versus white participants in logistic regression models. Results: Of the 502,536 participants enrolled in the UK Biobank, 8,061 were self-reported blacks, with 7,644 having available data for our analyses. We randomly matched these participants with white individuals, leading to a total sample size of 15,288 (mean age 51.9 [SD 8.1], female 8,722 [57%]). The total number of events was 741 overall, with 363 happening in blacks and 378 happening in whites. In logistic regression models including age, sex, and 5 principal components, the statistical precision (e.g. narrower confidence intervals) for the PRS was substantially higher for whites (OR 1.22, 95%CI 1.08 - 1.37; p<0.0001) compared to blacks (OR 1.24, 95%CI 1.05-1.47; p=0.01). Secondary analyses using genetically-determined ancestry yielded similar results. Conclusion: Because CVD-related PRSs are derived mainly using genetic risk factors identified in populations of European ancestry, their statistical performance is lower in non-European populations. This asymmetry can lead to significant health disparities now that these tools are being evaluated in multiple precision medicine approaches.

scholarly journals Identifying Household Level Risk Factors for Unintentional House Fire Incidents, Injuries and Fatalities

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Samantha Turner ◽  
Sarah Rodgers ◽  
Ronan Lyons
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Large Scale ◽  
Conditional Logistic Regression ◽  
Household Composition ◽  
Health Concern ◽  
Logistic Regression Models ◽  
Household Level ◽  
Increased Risk ◽  
The Uk

ABSTRACTObjectivesUnintentional house fire incidents, injuries and deaths are a serious public health concern in the UK, which disproportionally affect certain groups in the population. Whilst house fires have decreased in recent years; growing financial pressures in the Fire and Rescue Services (FRSs) have resulted in funds dedicated to fire preventative activities becoming increasingly limited. To ensure ever limiting resources are targeted towards those households at greatest risk, it is essential the FRSs’ are accurately informed about the types of household at increased risk. The aim of this project is to undertake a large-scale case-control study, to identify the distinguishing household level risk factors associated with unintentional house fire incidents, injuries and deaths. ApproachUnintentional house fire incidents reported to the Welsh FRS between the years 2003-2008, were anonymised and incorporated into the Secure Anonymised Information Linkage (SAIL) Databank at the Farr Institute, Swansea University. 6943 case households (households which reported a fire to the FRS) were time-matched to 347,150 control households (case:control ratio 1:50). Individuals registered as living at these properties on the date of the fire were established using the Welsh Demographic Service (WDS) dataset. Household level variables will be created by linking case and control households to other demographic, health, educational and environmental datasets in SAIL. Conditional Logistic Regression will be used to estimate matched odds ratios and 95% confidence intervals. ResultsPotential risk factor variables were selected on the basis of a systematic review and theoretically plausible variables. Covariates include: household composition (e.g. age and gender of residents), socioeconomic status, educational attainment, smoking, alcohol consumption, mental health conditions, other health related conditions, mobility and sensory impairments and property related characteristics. Fire related circumstances (e.g. fire ignition source, presence of a smoke alarm) will also be investigated in logistic regression models exploring risk factors for injury and death. Results will be presented at the conference. ConclusionThis is the first large-scale analysis of risk factors for unintentional house fire incidents, injuries and deaths. The findings from this project will be translated into comprehensible infographics, designed to support the FRSs, other partner organisations and the general public, recognise high risk households in need of preventative interventions.

scholarly journals How Covid-19 has exposed inequalities in the UK food system: The case of UK food and poverty

2020 ◽  
Vol 2 ◽  
pp. 11 ◽  
Author(s):  
Madeleine Power ◽  
Bob Doherty ◽  
Katie Pybus ◽  
Kate Pickett
Keyword(s):  
Food Insecurity ◽  
Economic Crisis ◽  
Low Income ◽  
Security Policy ◽  
Food System ◽  
Vulnerable Groups ◽  
Food Banks ◽  
Ethical Implications ◽  
The Uk ◽  
Household Incomes

This article draws upon our unique perspective as academic-practitioners working in the fields of food insecurity, food systems, and inequality to comment on the empirical and ethical implications of Covid-19 for socio-economic inequalities in access to food in the UK. The Covid-19 pandemic has revealed the profound insecurity of large segments of the UK population; increased unemployment, reduced hours, and enforced self-isolation for multiple vulnerable groups is likely to lead to an increase in UK food insecurity, exacerbating diet-related health inequalities. The social and economic crisis associated with the pandemic has exposed the fragility of the system of food charity which, at present, is a key response to growing poverty. A vulnerable food system, with just-in-time supply chains, has been challenged by stockpiling. Resultant food supply issues at food banks, alongside rapidly increasing demand and reduced volunteer numbers, has undermined many food charities, especially independent food banks. In the light of this analysis, we make a series of recommendations for social security policy, ‘emergency’ food provision, and retailers. We call for an immediate end to the five week wait for Universal Credit and cash grants for low income households. We ask central and local government to recognise that many food aid providers are already at capacity and unable to adopt additional responsibilities. We urge supermarkets to commit to paying their employees the Real Living Wage to mitigate against food insecurity amongst their staff now and in the future. The government’s -- impressive -- response to the economic crisis associated with Covid-19 has underscored a key principle: it is the government’s responsibility to protect population health, to guarantee household incomes, and to safeguard the economy. Millions of households were in poverty before the pandemic, and millions more will be so unless the government continues to protect household incomes through policy change.

scholarly journals Obesity, food insecurity, and depression among females

2020 ◽  
Vol 78 (1) ◽  
Author(s):  
Manik Ahuja ◽  
Thiveya Sathiyaseelan ◽  
Rajvi J. Wani ◽  
Praveen Fernandopulle
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Food Insecurity ◽  
Mental Health Problems ◽  
Major Depressive ◽  
Logistic Regression Models ◽  
Increased Risk ◽  
The Impact

Abstract Background Nutritional psychiatry is an emerging field of research and it is currently exploring the impact of nutrition and obesity on brain function and mental illness. Prior studies links between obesity, nutrition and depression among women. However, less is known how food insecurity may moderate that relationship. Methods Data were employed from the Collaborative Psychiatric Epidemiology Surveys (CPES), 2001–2003. Two logistic regression models were Logistic regression was used to determine the association between obesity, gender, food insecurity, and past year Major Depressive Disorder (MDD). We then stratified by gender, and tested the association between obesity and past year MDD, and if food insecurity moderated the association. Results Obesity was associated with an increased risk for past year Major Depressive Disorder (MDD) among females (AOR = 1.35; 95% CI 1.17–1.55) and was not associated among males (AOR = 1.07; 95% CI, 0.86–1.32). Women who reported that reported both obesity and food insecurity reported higher odds of past year MDD episode (AOR = 3.16; 95% CI, 2.36–4.21, than women who did not report food insecurity (AOR = 1.08; 95% CI, 1.02–1.38). Conclusion With rising rates of mental health problems, females should be closely monitored to understand how poor diets, food insecurity, and obesity play a role in mental health outcomes. It is recommended that clinicians and treatment providers consider the patient’s diet and access to nutritious foods when conducting their assessment.

scholarly journals Are young adults with long-standing illness or disability at increased risk of loneliness? Evidence from the UK Longitudinal Household Study

2020 ◽  
Vol 9 (4) ◽  
Author(s):  
Megan McGlone ◽  
Emily Long
Keyword(s):  
Young Adults ◽  
Logistic Regression ◽  
Well Being ◽  
Ordinal Logistic Regression ◽  
Related Factors ◽  
Logistic Regression Models ◽  
Increased Risk ◽  
Health Related ◽  
Correlation Tests ◽  
The Uk

Background: Recent evidence has shown that young adults experience significant levels of loneliness, and those with long-standing illness or disability (LSID) may be particularly vulnerable. This study investigated whether young adults with LSID were more likely to experience loneliness than their ‘healthy’ peers, after accounting for key socio-contextual and health-related factors associated with loneliness.Design and Methods:  The sample consists of 4510 16-24-year-old individuals from Wave 9 of the UK Household Longitudinal Study (UKHLS). Loneliness was measured using the UCLA 3-item loneliness scale, in addition to a direct indicator of frequency of loneliness. Correlation tests measured associations between both measures of loneliness and LSID. Ordinal logistic regression was used to examine the association between LSID and UCLA loneliness, after accounting for key demographic and socio-contextual variables.Results: Results from the correlation tests demonstrated significant associations between LSID and both measures of loneliness. Results from the ordinal logistic regression models indicated that chronic illness was significantly associated with loneliness, after accounting for various demographic, social, and well-being factors. In addition, individuals with fewer close friends reported higher loneliness, as did those with poorer mental health, and low well-being scores. Younger participants, age brackets 16-18 and 19-21, were found to report higher loneliness than the individuals aged 22-24-year-old.Conclusions: Overall, the study found significant evidence of associations between the presence of LSID and loneliness in young adults (16-24 years old), suggesting these individuals are at an increased risk of loneliness, and could be a focus for future public health interventions.

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