Food insecurity and food bank use: Who is most at risk of severe food insecurity and who uses food banks?

Objectives: To identify (1) who experiences food insecurity of differing severity and (2) who uses food banks in England, Wales and Northern Ireland; (3) whether the same groups experience food insecurity and use food banks; and (4) to explore country- and region-level differences in food insecurity and food bank use. Design: This pooled cross-sectional study analysed the characteristics of adults experiencing food insecurity of differing severity using generalised ordinal logistic regression models and the characteristics of adults using food banks using logistic regression models, using data from three waves of the Food and You 2 surveys, 2021–2023. Setting: England, Wales and Northern Ireland. Participants: 18 557 adults. Results: 20·8 % of respondents experienced food insecurity in the past 12 months, and 3·6 % had used a food bank. Food insecurity was associated with income, working status, respondent age, family type, ethnicity, country, long-term health conditions, food hypersensitivity, urban-rural status and area-level deprivation. Severe food insecurity was concentrated among respondents with long-term health conditions and food hypersensitivities. Food bank use was more prevalent among food insecure respondents and unemployed and low-income respondents. Neither outcome showed clear geographical variation. Certain groups experienced an elevated likelihood of food insecurity but did not report correspondingly greater food bank use. Conclusions: Food insecurity is unevenly distributed, and its nutrition and health-related consequences demonstrate that food insecurity will intensify health inequalities. The divergence between the scale of food insecurity and food bank use strengthens calls for adequate policy responses

The interactive role of income (material position) and income rank (psychosocial position) in psychological distress : a 9-year longitudinal study of 30,000 UK parents

Purpose Parents face an increased risk of psychological distress compared with adults without children, and families with children also have lower average household incomes. Past research suggests that absolute income (material position) and income status (psychosocial position) influence psychological distress, but their combined effects on changes in psychological distress have not been examined. Whether absolute income interacts with income status to influence psychological distress are also key questions. Methods We used fixed-effects panel models to examine longitudinal associations between psychological distress (measured on the Kessler scale) and absolute income, distance from the regional mean income, and regional income rank (a proxy for status) using data from 29,107 parents included in the UK Millennium Cohort Study (2003–2012). Results Psychological distress was determined by an interaction between absolute income and income rank: higher absolute income was associated with lower psychological distress across the income spectrum, while the benefits of higher income rank were evident only in the highest income parents. Parents’ psychological distress was, therefore, determined by a combination of income-related material and psychosocial factors. Conclusions Both material and psychosocial factors contribute to well-being. Higher absolute incomes were associated with lower psychological distress across the income spectrum, demonstrating the importance of material factors. Conversely, income status was associated with psychological distress only at higher absolute incomes, suggesting that psychosocial factors are more relevant to distress in more advantaged, higher income parents. Clinical interventions could, therefore, consider both the material and psychosocial impacts of income on psychological distress

Estimativa do índice de área Foliar (IAF) e biomassa em pastagem no estado de Rondônia, Brasil

Medidas mensais da altura da pastagem, biomassa total, variações de biomassa viva e morta, a área específica foliar (SLA) e o Índice de Área de Folha (IAF) de fevereiro de 1999 a janeiro de 2005 na Fazenda Nossa Senhora (FNS) e em Rolim de Moura (RDM) entre Fevereiro a Março de 1999, Rondônia, Brasil. A pastagem predominante é Urochloa brizantha (Hochst. ex A. Rich) R. D. Webster (99% na FNS e 76% em RDM), com pequenas manchas de Urochloa humidicula (Rendle). A altura média anual da grama foi de ~0,16 m. Com o pastejo, o mínimo mensal foi de 0,09 m (estação seca) e máximo de 0,3 m sem pastejo (estação úmida). O IAF, biomassa total, material morto, vivo e SLA tiveram valores médios de 2,5 m2 m-2 , 2202 kg ha-1, 2916 kg ha-1 e 19 m2 kg-1 respectivamente. A média mensal da biomassa foi 4224 kg ha-1 em 2002 e 6667 kg ha-1 em 2003. Grande variação sazonal do material vivo e morto, sendo mais alto o vivo durante a estação úmida (3229 contra 2529 kg ha-1), sendo o morto maior durante a seca (2542 contra 1894 kg ha-1). O nível de água no solo variou de -3,1 a -6,5 m durante as estações. Em médias anuais os IAF foram de 1,4 em 2000 a 2,8 em 2003 e o SLA entre 16,3 m2 kg-1 em 1999 e 20,4 m2 kg-1 em 2001. As observações do Albedo variaram de 0,18 para 0,16 em relação aos altos valores de IAF

Researching UK food insecurity and foodbank use using a mixed methods approach

This case study reports on the research design and methods used in a recent project exploring food insecurity and foodbank use in the United Kingdom. The project comprised quantitative analyses of social survey data capturing aspects of food insecurity alongside qualitative interviews with people giving and receiving emergency assistance from foodbanks across one city in England. By taking a mixed-methods approach, we sought to triangulate nationally representative and statistically robust survey data with the in-depth experiences reported by people using foodbanks. This case study discusses the benefits and challenges involved in successfully conducting such mixed-methods research. The highly publicized growth of foodbanks in the United Kingdom has reignited long-standing but often neglected debates about food insecurity and its potential consequences for health, nutrition, and social exclusion. The underlying reasons behind the sharp rise in emergency food provision are disputed, and as data are scarce, these debates are generally not informed by evidence. Moreover, the voices of people receiving emergency food are rarely heard. Quantitative analyses of survey data provided a robust (but limited) basis for understanding the nature and prevalence of food insecurity. In parallel, qualitative research offered us direct insights into the experiences and circumstances of people using foodbanks. In this case study, we describe in detail the methods used in this research project, focusing on the strengths while reflecting upon the challenges and lessons learned when taking a mixed-methods approach to conducting research on under-researched topics, and with vulnerable groups

Genome-wide methylation analysis identifies differently methylated CpG loci associated with severe obesity in childhood

Childhood obesity is a major public health issue. Here we investigated whether differential DNA methylation was associated with childhood obesity. We studied DNA methylation profiles in whole blood from 78 obese children (mean BMI Z-score: 2.6) and 71 age- and sex-matched controls (mean BMI Z-score: 0.1). DNA samples from obese and control groups were pooled and analyzed using the Infinium HumanMethylation450 BeadChip array. Comparison of the methylation profiles between obese and control subjects revealed 129 differentially methylated CpG (DMCpG) loci associated with 80 unique genes that had a greater than 10% difference in methylation (P-value < 0.05). The top pathways enriched among the DMCpGs included developmental processes, immune system regulation, regulation of cell signaling, and small GTPase-mediated signal transduction. The associations between the methylation of selected DMCpGs with childhood obesity were validated using sodium bisulfite pyrosequencing across loci within the FYN, PIWIL4, and TAOK3 genes in individual subjects. Three CpG loci within FYN were hypermethylated in obese individuals (all P < 0.01), while obesity was associated with lower methylation of CpG loci within PIWIL4 (P = 0.003) and TAOK3 (P = 0.001). After building logistic regression models, we determined that a 1% increase in methylation in TAOK3, multiplicatively decreased the odds of being obese by 0.91 (95% CI: 0.86 – 0.97), and an increase of 1% methylation in FYN CpG3, multiplicatively increased the odds of being obese by 1.03 (95% CI: 0.99 – 1.07). In conclusion, these findings provide evidence that childhood obesity is associated with specific DNA methylation changes in whole blood, which may have utility as biomarkers of obesity risk