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Objective To conduct a genome-wide association study (GWAS) of anorexia nervosa and to calculate genetic correlations with a series of psychiatric, educational, and metabolic phenotypes. Method Following uniform quality control and imputation using the 1000 Genomes Project (phase 3) in 12 case-control cohorts comprising 3,495 anorexia nervosa cases and 10,982 controls, we performed standard association analysis followed by a meta-analysis across cohorts. Linkage disequilibrium score regression (LDSC) was used to calculate genome-wide common variant heritability [ hSNP2, partitioned heritability, and genetic correlations (rg)] between anorexia nervosa and other phenotypes. Results Results were obtained for 10,641,224 single nucleotide polymorphisms (SNPs) and insertion-deletion variants with minor allele frequency > 1% and imputation quality scores > 0.6. The hSNP2 of anorexia nervosa was 0.20 (SE=0.02), suggesting that a substantial fraction of the twin-based heritability arises from common genetic variation. We identified one genome-wide significant locus on chromosome 12 (rs4622308, p=4.3×10−9) in a region harboring a previously reported type 1 diabetes and autoimmune disorder locus. Significant positive genetic correlations were observed between anorexia nervosa and schizophrenia, neuroticism, educational attainment, and high density lipoprotein (HDL) cholesterol, and significant negative genetic correlations between anorexia nervosa and body mass index, insulin, glucose, and lipid phenotypes. Conclusions Anorexia nervosa is a complex heritable phenotype for which we have found the first genome-wide significant locus. Anorexia nervosa also has large and significant genetic correlations with both psychiatric phenotypes and metabolic traits. Our results encourage a reconceptualization of this frequently lethal disorder as one with both psychiatric and metabolic etiology.

Anorexia nervosa (AN) is a complex and heritable eating disorder characterized by dangerously low body weight. Neither candidate gene studies nor an initial genome wide association study (GWAS) have yielded significant and replicated results. We performed a GWAS in 2,907 cases with AN from 14 countries (15 sites) and 14,860 ancestrally matched controls as part of the Genetic Consortium for AN (GCAN) and the Wellcome Trust Case Control Consortium 3 (WTCCC3). Individual association analyses were conducted in each stratum and meta-analyzed across all 15 discovery datasets. Seventy-six (72 independent) SNPs were taken forward for in silico (two datasets) or de novo (13 datasets) replication genotyping in 2,677 independent AN cases and 8,629 European ancestry controls along with 458 AN cases and 421 controls from Japan. The final global meta-analysis across discovery and replication datasets comprised 5,551 AN cases and 21,080 controls. AN subtype analyses (1,606 AN restricting; 1,445 AN binge-purge) were performed. No findings reached genome-wide significance. Two intronic variants were suggestively associated: rs9839776 (P=3.01×10-7) in SOX2OT and rs17030795 (P=5.84×10-6) in PPP3CA. Two additional signals were specific to Europeans: rs1523921 (P=5.76×10-6) between CUL3 and FAM124B and rs1886797 (P=8.05×10-6) near SPATA13. Comparing discovery to replication results, 76% of the effects were in the same direction, an observation highly unlikely to be due to chance (P=4×10-6), strongly suggesting that true findings exist but that our sample, the largest yet reported, was underpowered for their detection. The accrual of large genotyped AN case-control samples should be an immediate priority for the field.

There is growing policy maker and public concern about current trends in food bank use in Scotland. Yet little is known about the experiences of those seeking help from food banks in this country. This research aimed to address this issue by studying the use and operation of a food bank situated in a rich northeast city during January and June 2014. The study aimed to establish who was seeking help from the food bank, their reasons for doing so, and what those who did thought of, and dealt with the food they received from it. Consequently, an audit of the food bank's client database, four months of participant observation based in the food bank, and seven face-to-face interviews with current and former food bank clients were conducted. The audit revealed that clients came from a range of socio-economic backgrounds, with men more likely to access it compared to women. Debt and social security benefit delays were cited as the main reasons for doing so. Qualitative data confirmed that sudden and unanticipated loss of income was a key driver of use. Resourcefulness in making donated food last as long as possible, keeping fuel costs low, and concern to minimise food waste were commonly described by participants. Desperation, gratitude, shame and powerlessness were also prevalent themes. Furthermore, clients were reluctant to ask for food they normally ate, as they were acutely aware that the food bank had little control over what it was able offer. Insights from this study suggest that recent UK policy proposals to address food poverty may have limited impact, without concomitant effort to address material disadvantage. Research is urgently required to determine the precise nature and extent of household level food insecurity in Scotland, and to consider monitoring for adverse physical and mental health outcomes for those affected by it.

BackgroundUnhealthy eating and physical activity behaviours are common among nurses but little is known about determinants of eating and physical activity behaviour in this population. The present study used a theoretical framework which summarises the many possible determinants of different health behaviours (the Theoretical Domains Framework; TDF) to systematically explore the most salient determinants of unhealthy eating and physical activity behaviour in hospital-based nurses.MethodsSemi-structured qualitative interviews based on the TDF were conducted with nurses (n = 16) to explore factors that behavioural theories suggest may influence nurses’ eating and physical activity behaviour. Important determinants of the target behaviours were identified using both inductive coding (of categories emerging from the data) and deductive coding (of categories derived from the TDF) of the qualitative data.ResultsThirteen of the fourteen domains in the TDF were found to influence nurses’ eating and physical activity behaviour. Within these domains, important barriers to engaging in healthy eating and physical activity behaviour were shift work, fatigue, stress, beliefs about negative consequences, the behaviours of family and friends and lack of planning. Important factors reported to enable engagement with healthy eating and physical activity behaviours were beliefs about benefits, the use of self-monitoring strategies, support from work colleagues, confidence, shift work, awareness of useful guidelines and strategies, good mood, future holidays and receiving compliments.ConclusionsThis study used a theory-informed approach by applying the TDF to identify the key perceived determinants of nurses’ eating and physical activity behaviour. The findings suggest that future efforts to change nurses’ eating and physical activity behaviours should consider targeting a broad range of environmental, interpersonal and intrapersonal level factors, consistent with a socio-ecological perspective.Electronic supplementary materialThe online version of this article (doi:10.1186/s40608-017-0154-4) contains supplementary material, which is available to authorized users.