Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
1.
Lancet ; 400 Suppl 1:S62, 2022.
Article in English | PubMed | ID: covidwho-2132736

ABSTRACT

BACKGROUND: A Free School Meals (FSM) policy is a well recognised intervention for tackling food insecurity among children (up to the age 18 years) whose parents receive state benefits. National school closures during the COVID-19 pandemic resulted in the need to rapidly adapt the delivery of FSM to protect the most disadvantaged children in the UK from increased food insecurity. A range of food assistance policies were implemented, but whether they were evidence-based is unclear. The aim of study was to establish the transparency of evidence use behind FSM policy decisions in the UK during the COVID-19 pandemic and to identify other factors influencing decision making. METHODS: We used thematic content analysis to analyse publicly available policy documents and parliamentary debate transcripts relating to FSM published in the first year of the COVID-19 pandemic in the UK (March, 2020, to March, 2021). This period covered the first national school closures (March, 2020, to July, 2020), all school holidays, and the second national school closures (January, 2021, to March, 2021). The evidence transparency framework was used to evaluate transparency of evidence-use in policy decisions. FINDINGS: We analysed 50 documents and debates. Overall transparency of evidence-use was low, but more evident for the Holiday Activities and Food programme than for the FSM programme. Replacing FSM with food parcels was favoured by the UK Government over more agentic modes of food assistance, such as cash vouchers. This preference seemingly aligned with politicians' ideological views on the welfare state, influenced by social media, as assessed from the analysis of available policy documents and parliamentary debate transcripts. Other influences on decision making included policy delivery and responding to increased public attention. INTERPRETATION: Evidence use behind the deployment of FSM was not transparent. Overall, value-based reasoning took precedent over evidence and was polarised by social media. A comprehensive review of the FSM policy in this period could increase understanding and the likelihood that future food assistance policy is evidence-based. The lessons must be incorporated into a future pandemic plan that prioritises protecting low-income families from food insecurity. FUNDING: Newton's Apple (registered charity number 1121719). The authors are funded by the UK National Institute for Health and Care Research's School for Public Health Research. The views expressed herein are those of the authors and not necessarily those of the National Institute for Health and Care Research or the UK Department of Health and Social Care.

2.
International Journal of Behavioral Nutrition & Physical Activity ; 18(1):57, 2021.
Article in English | MEDLINE | ID: covidwho-1209333

ABSTRACT

BACKGROUND: The 2008 Great Recession significantly impacted economies and individuals globally, with potential impacts on food systems and dietary intake. We systematically reviewed evidence on the impact of the Great Recession on individuals' dietary intake globally and whether disadvantaged individuals were disproportionately affected. METHODS: We searched seven databases and relevant grey literature through June 2020. Longitudinal quantitative studies with the 2008 recession as the exposure and any measure of dietary intake (energy intake, dietary quality, and food/macronutrient consumption) as the outcome were eligible for inclusion. Eligibility was independently assessed by two reviewers. The Newcastle Ottawa Scale was used for quality and risk of bias assessment. We undertook a random effects meta-analysis for changes in energy intake. Harvest plots were used to display and summarise study results for other outcomes. The study was registered with PROSPERO (CRD42019135864). RESULTS: Forty-one studies including 2.6 million people met our inclusion criteria and were heterogenous in both methods and results. Ten studies reported energy intake, 11 dietary quality, 34 food intake, and 13 macronutrient consumption. The Great Recession was associated with a mean reduction of 103.0 cal per adult equivalent per day (95% Confidence Interval: - 132.1, - 73.9) in high-income countries (5 studies) and an increase of 105.5 cal per adult per day (95% Confidence Interval: 72.8, 138.2) in middle-income countries (2 studies) following random effects meta-analysis. We found reductions in fruit and vegetable intake. We also found reductions in intake of fast food, sugary products, and soft drinks. Impacts on macronutrients and dietary quality were inconclusive, though suggestive of a decrease in dietary quality. The Great Recession had greater impacts on dietary intake for disadvantaged individuals. CONCLUSIONS: The 2008 recession was associated with diverse impacts on diets. Calorie intake decreased in high income countries but increased in middle income countries. Fruit and vegetable consumption reduced, especially for more disadvantaged individuals, which may negatively affect health. Fast food, sugary products, and soft drink consumption also decreased which may confer health benefits. Implementing effective policies to mitigate adverse nutritional changes and encourage positive changes during the COVID-19 pandemic and other major economic shocks should be prioritised.

3.
Public Health ; 187: 161-164, 2020 Oct.
Article in English | MEDLINE | ID: covidwho-728827

ABSTRACT

OBJECTIVES: The objectives of the study were to investigate access to free school meals (FSMs) among eligible children, to describe factors associated with uptake and to investigate whether receiving FSMs was associated with measures of food insecurity in the UK using the Coronavirus (COVID-19) wave of the UK Household Longitudinal Study. STUDY DESIGN: The study design was cross-sectional analyses of questionnaire data collected in April 2020. METHODS: Six hundred and thirty-five children who were FSM eligible with complete data were included in the analytic sample. Accessing a FSM was defined as receiving a FSM voucher or a cooked meal at school. Multivariable logistic regression was used to investigate (i) associations between characteristics and access to FSMs and (ii) associations between access to FSMs and household food insecurity measures. All analyses accounted for survey design and sample weights to ensure representativeness. RESULTS: Fifty-one percent of eligible children accessed a FSM. Children in junior schools or above (aged 8+ years) (adjusted odds ratio [AOR]: 11.81; 95% confidence interval [CI]: 5.54, 25.19), who belonged to low-income families (AOR: 4.81; 95% CI: 2.10, 11.03) or still attending schools (AOR: 5.87; 95% CI: 1.70, 20.25) were more likely to receive FSMs. Children in Wales were less likely to access FSMs than those in England (AOR: 0.11; 95% CI: 0.03, 0.43). Receiving a FSM was associated with increased odds of recently using a food bank but not reporting feeling hungry. CONCLUSIONS: In the month after the COVID-19 lockdown, 49% of eligible children did not receive any form of FSMs. The present analyses highlight that the voucher scheme did not adequately serve children who could not attend school during the lockdown. Moreover, more needs to be done to support families relying on income-related benefits, who still report needing to access a food bank. As the scheme may be continued in summer or in a potential second wave, large improvements will be needed to improve its reach.


Subject(s)
Coronavirus Infections/prevention & control , Food Assistance/statistics & numerical data , Food Services/economics , Food Supply/statistics & numerical data , Pandemics/prevention & control , Pneumonia, Viral/prevention & control , Quarantine/legislation & jurisprudence , Adolescent , COVID-19 , Child , Child, Preschool , Coronavirus Infections/epidemiology , Cross-Sectional Studies , Female , Humans , Longitudinal Studies , Male , Pneumonia, Viral/epidemiology , United Kingdom/epidemiology
SELECTION OF CITATIONS
SEARCH DETAIL