19 research outputs found

    Childhood obesity and educational attainment : A systematic review

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    Background This report describes the findings and methods of a systematic review of research which explores the relationship between obesity and educational attainment. It has been conducted at a time of great concern about levels of obesity in the UK, and the negative physical, psychological and social impacts of obesity. Current research suggests that there may be a relationship between obesity and poor educational attainment. It is likely that obesity and poor school performance are elements of a broader picture of inequalities in health and education, whereby disadvantaged socio-economic groups tend to have poorer health and lower levels of education. However, it is possible that other factors influence obesity and attainment, such as gender, discrimination and poor mental and emotional well-being. This systematic review was therefore commissioned to address the question: What do we know about the relationship between childhood obesity and educational attainment, from the research literature? In order that our review might be informed by those closest to observing any interaction between obesity and attainment, we sought the perspectives of teachers and young people to identify the causal pathways that seemed most pertinent to them. Findings Is there a statistical association between obesity and educational attainment? While often conflicting, an overall pattern emerges from the research evidence suggesting that there is a weak negative association between obesity and educational attainment in children and young people; i.e. that higher weight is associated with lower educational attainment. Obesity is also associated with other variables, such as socio-economic status, and when these other variables are taken into consideration, the association between obesity and attainment becomes still weaker, and often loses statistical significance. To what extent does the research evidence explore the influence of the broader determinants of health, and in particular socio-economic position, in explaining any link between obesity and attainment? Place of residence, ethnicity, occupation, gender, religion, education, socio-economic status (SES) and social capital were all explored as potential moderating variables in the included research. Twenty-three of 29 studies used a measure of socio-economic status as a moderating variable. Various factors appear to contribute to low educational attainment to some extent, although given the variation in definitions, analyses and quality of data, it is impossible to point to any causative or definite risk factors. Authors of the included studies have posited theories suggesting that the link between obesity and educational attainment is moderated by individual and societal factors. Does the research evidence support or refute these? Most studies explored the influence of obesity upon attainment. Only two studies examined the influence of attainment upon obesity. Many authors suggested multiple causal pathways, many of which remained untested in their studies. The moderating variables used in statistical analyses of the relationship between obesity and attainment were not consistent with the causal pathways proposed, which is probably a reflection of the constraints imposed upon authors conducting secondary analyses of pre-existing datasets (i.e. they made use of existing variables, rather than collecting their own, tailored data). The most frequently cited factors resulting from obesity and impacting upon educational attainment were poor mental health, stigmatisation and discrimination, disordered sleep, decreased time spent in physical activity and socialising, and absenteeism. Different perspectives on obesity and attainment Few young people initially thought that obesity and educational attainment were associated. However, they considered obesity and educational attainment to be of importance to young people. Young people considered parental influence and circumstances, including family income and poverty, and bullying and emotional health to be the most important factors which might explain an association between obesity and educational attainment. Most teachers said that there was an association between obesity and educational attainment. Bullying, low self-esteem and emotional well-being, poverty and poor diet, and physical activity were commonly cited by teachers as being the most important and credible mediating variables in this association. Teachers also considered gender, ethnicity and parental influence to be important factors. While researchers, teachers and young people identified causal pathways whereby low academic attainment resulted from poor mental and emotional health among obese children and young people, only four studies adjusted for mental and emotional health variables. This may represent a significant divergence in the perspectives of researchers and stakeholders. Alternatively, it may be that in the 23 studies which conducted a secondary analysis of an existing dataset, such data were not available to the authors. Another divergence concerns the impact of reduced participation in sports and social activities. While teachers and young people located this within a broader framework of isolation and lower socialisation suffered by obese children – and thus felt reduced sports participation would result in lower attainment – three studies in the included research proposed a causal pathway in which reduced participation in sports and social activities might lead to increased time spent studying and hence higher attainment

    A review of the effectiveness of smokefree strategies and interventions in secondary care settings

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    The aim of this review was to systematically review the effectiveness of smokefree strategies and interventions in secondary care settings (acute, maternity and mental health settings). The initial search and screening stages were combined with a parallel review of the barriers to and facilitators for implementing smokefree strategies and interventions in secondary care settings conducted by members of the same research team.The review aimed to address the following questions:Question 1: How effective are strategies and interventions for ensuring compliance with smokefree legislation and local smokefree policies in secondary care settings?Subsidiary question: How does the effectiveness vary for different population groups, health status or speciality care services?Question 2: Are there any unintended consequences from adopting smokefree approaches in acute and maternity care settings?Question 3: Are there any unintended consequences from adopting smokefree approaches in mental healthcare settings?As the extent of evidence on the effectiveness of smokefree strategies was limited to two studies for Question 1, the data are also presented from identified effectiveness studies with a comparative design to measure indicators of compliance in settings which had a smokefree policy with at least one supporting strategy covering the whole estate or an indoors-only policy

    A review of the barriers to and facilitators for implementing smokefree strategies and interventions in secondary care settings

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    The aim of this review was to systematically review the barriers to and facilitators for implementing smokefree strategies and interventions in secondary care settings (acute, maternity and mental health settings) from service users' and service providers' perspectives. The initial search and screening stages were combined with a parallel review of the effectiveness of smokefree strategies and interventions in secondary care settings conducted by members of the same research team.This review aimed to address one overarching question; what are the barriers and facilitators affecting adoption of, support for, and compliance with smokefree policies in secondary care settings?; and was guided by three subsidiary questions: How does support for smokefree policy differ by population group, service provider and type of policy? What factors have an impact on acceptance of smokefree policies? What are the adverse events and other consequences associated with smokefree policies

    Using systems perspectives in evidence synthesis: A methodological mapping review

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    BACKGROUND: Reviewing complex interventions is challenging because they include many elements that can interact dynamically in a non-linear manner. A systems perspective offers a way of thinking to help understand complex issues, but its application in evidence synthesis is not established. The aim of this project was to understand how and why systems perspectives have been applied in evidence synthesis. METHODS: A methodological mapping review was conducted to identify papers using a systems perspective in evidence synthesis. A search was conducted in seven bibliographic databases and three search engines. RESULTS: A total of 101 papers (representing 98 reviews) met the eligibility criteria. Two categories of reviews were identified: 1) reviews using a 'systems lens' to frame the topic, generate hypotheses, select studies, and guide the analysis and interpretation of findings (n=76) and 2) reviews using systems methods to develop a systems model (n=22). Several methods (e.g., systems dynamic modeling, soft systems approach) were identified and they were used to identify, rank, and select elements, analyze interactions, develop models, and forecast needs. The main reasons for using a systems perspective were to address complexity, view the problem as a whole, and understand the interrelationships between the elements. Several challenges for capturing the true nature and complexity of a problem were raised when performing these methods. CONCLUSION: This review is a useful starting point when designing evidence synthesis of complex interventions. It identifies different opportunities for applying a systems perspective in evidence synthesis, and highlights both commonplace and less familiar methods

    Identifying molecular mediators of the relationship between body mass index and endometrial cancer risk:a Mendelian randomization analysis

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    Endometrial cancer is the most common gynaecological cancer in high-income countries. Elevated body mass index (BMI) is an established modifiable risk factor for this condition and is estimated to confer a larger effect on endometrial cancer risk than any other cancer site. However, the molecular mechanisms underpinning this association remain unclear. We used Mendelian randomization (MR) to evaluate the causal role of 14 molecular risk factors (hormonal, metabolic and inflammatory markers) in endometrial cancer risk. We then evaluated and quantified the potential mediating role of these molecular traits in the relationship between BMI and endometrial cancer using multivariable MR. Methods Genetic instruments to proxy 14 molecular risk factors and BMI were constructed by identifying single-nucleotide polymorphisms (SNPs) reliably associated (P < 5.0 × 10−8) with each respective risk factor in previous genome-wide association studies (GWAS). Summary statistics for the association of these SNPs with overall and subtype-specific endometrial cancer risk (12,906 cases and 108,979 controls) were obtained from a GWAS meta-analysis of the Endometrial Cancer Association Consortium (ECAC), Epidemiology of Endometrial Cancer Consortium (E2C2) and UK Biobank. SNPs were combined into multi-allelic models and odds ratios (ORs) and 95% confidence intervals (95% CIs) were generated using inverse-variance weighted random-effects models. The mediating roles of the molecular risk factors in the relationship between BMI and endometrial cancer were then estimated using multivariable MR

    Five endometrial cancer risk loci identified through genome-wide association analysis.

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    We conducted a meta-analysis of three endometrial cancer genome-wide association studies (GWAS) and two follow-up phases totaling 7,737 endometrial cancer cases and 37,144 controls of European ancestry. Genome-wide imputation and meta-analysis identified five new risk loci of genome-wide significance at likely regulatory regions on chromosomes 13q22.1 (rs11841589, near KLF5), 6q22.31 (rs13328298, in LOC643623 and near HEY2 and NCOA7), 8q24.21 (rs4733613, telomeric to MYC), 15q15.1 (rs937213, in EIF2AK4, near BMF) and 14q32.33 (rs2498796, in AKT1, near SIVA1). We also found a second independent 8q24.21 signal (rs17232730). Functional studies of the 13q22.1 locus showed that rs9600103 (pairwise r(2) = 0.98 with rs11841589) is located in a region of active chromatin that interacts with the KLF5 promoter region. The rs9600103[T] allele that is protective in endometrial cancer suppressed gene expression in vitro, suggesting that regulation of the expression of KLF5, a gene linked to uterine development, is implicated in tumorigenesis. These findings provide enhanced insight into the genetic and biological basis of endometrial cancer.I.T. is supported by Cancer Research UK and the Oxford Comprehensive Biomedical Research Centre. T.H.T.C. is supported by the Rhodes Trust and the Nuffield Department of Medicine. Funding for iCOGS infrastructure came from the European Community's Seventh Framework Programme under grant agreement 223175 (HEALTH-F2-2009-223175) (COGS), Cancer Research UK (C1287/A10118, C1287/A10710, C12292/A11174, C1281/A12014, C5047/A8384, C5047/A15007, C5047/A10692 and C8197/A16565), the US National Institutes of Health (R01 CA128978, U19 CA148537, U19 CA148065 and U19 CA148112), the US Department of Defense (W81XWH-10-1-0341), the Canadian Institutes of Health Research (CIHR) for the CIHR Team in Familial Risks of Breast Cancer, the Susan G. Komen Foundation for the Cure, the Breast Cancer Research Foundation and the Ovarian Cancer Research Fund. SEARCH recruitment was funded by a programme grant from Cancer Research UK (C490/A10124). Stage 1 and stage 2 case genotyping was supported by the NHMRC (552402 and 1031333). Control data were generated by the WTCCC, and a full list of the investigators who contributed to the generation of the data is available from the WTCCC website. We acknowledge use of DNA from the British 1958 Birth Cohort collection, funded by UK Medical Research Council grant G0000934 and Wellcome Trust grant 068545/Z/02; funding for this project was provided by the Wellcome Trust under award 085475. NSECG was supported by the European Union's Framework Programme 7 CHIBCHA grant and Wellcome Trust Centre for Human Genetics Core Grant 090532/Z/09Z, and CORGI was funded by Cancer Research UK. BCAC is funded by Cancer Research UK (C1287/A10118 and C1287/A12014). OCAC is supported by a grant from the Ovarian Cancer Research Fund thanks to donations by the family and friends of Kathryn Sladek Smith (PPD/RPCI.07) and the UK National Institute for Health Research Biomedical Research Centres at the University of Cambridge.This is the author accepted manuscript. The final version is available from Nature Publishing Group via http://dx.doi.org/10.1038/ng.356

    SNAPSHOT USA 2019 : a coordinated national camera trap survey of the United States

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    This article is protected by copyright. All rights reserved.With the accelerating pace of global change, it is imperative that we obtain rapid inventories of the status and distribution of wildlife for ecological inferences and conservation planning. To address this challenge, we launched the SNAPSHOT USA project, a collaborative survey of terrestrial wildlife populations using camera traps across the United States. For our first annual survey, we compiled data across all 50 states during a 14-week period (17 August - 24 November of 2019). We sampled wildlife at 1509 camera trap sites from 110 camera trap arrays covering 12 different ecoregions across four development zones. This effort resulted in 166,036 unique detections of 83 species of mammals and 17 species of birds. All images were processed through the Smithsonian's eMammal camera trap data repository and included an expert review phase to ensure taxonomic accuracy of data, resulting in each picture being reviewed at least twice. The results represent a timely and standardized camera trap survey of the USA. All of the 2019 survey data are made available herein. We are currently repeating surveys in fall 2020, opening up the opportunity to other institutions and cooperators to expand coverage of all the urban-wild gradients and ecophysiographic regions of the country. Future data will be available as the database is updated at eMammal.si.edu/snapshot-usa, as well as future data paper submissions. These data will be useful for local and macroecological research including the examination of community assembly, effects of environmental and anthropogenic landscape variables, effects of fragmentation and extinction debt dynamics, as well as species-specific population dynamics and conservation action plans. There are no copyright restrictions; please cite this paper when using the data for publication.Publisher PDFPeer reviewe

    Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses.

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    Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype1-3. To identify novel loci, we performed a genome-wide association study including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade. We identified 32 novel susceptibility loci (P < 5.0 × 10-8), 15 of which showed evidence for associations with at least one tumor feature (false discovery rate < 0.05). Five loci showed associations (P < 0.05) in opposite directions between luminal and non-luminal subtypes. In silico analyses showed that these five loci contained cell-specific enhancers that differed between normal luminal and basal mammary cells. The genetic correlations between five intrinsic-like subtypes ranged from 0.35 to 0.80. The proportion of genome-wide chip heritability explained by all known susceptibility loci was 54.2% for luminal A-like disease and 37.6% for triple-negative disease. The odds ratios of polygenic risk scores, which included 330 variants, for the highest 1% of quantiles compared with middle quantiles were 5.63 and 3.02 for luminal A-like and triple-negative disease, respectively. These findings provide an improved understanding of genetic predisposition to breast cancer subtypes and will inform the development of subtype-specific polygenic risk scores

    Does overweight impede academic attainment?: a systematic review

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    Abstract The objective of this systematic review was to examine evidence from studies exploring the relationship between childhood obesity and educational attainment. Secondary analyses and observational studies published in English after 1997 examining attainment as measured by grade point average or other validated measure, in children aged 6 to16, in high income countries were sought. Eleven databases from the fields of public health, education and social science were searched along with 19 specialist registers and catalogues. Contacting of key researchers and citation searching were undertaken. Two reviewers used standardised tools to independently carry out data extraction and assess the quality of included studies. Evidence was synthesized in a narrative summary. Twenty nine studies were identified for inclusion. Overall, the evidence suggested that higher weight is weakly associated with lower educational attainment among children and young people. Differences between average attainment of overweight and non overweight children were marginal, with potentially negligible real world implications for test scores. Limited evidence suggested that little variation in achievement was explained by weight status alone. Almost half the studies found that other factors, such as socioeconomic status, may better explain much of the negative association between obesity and attainment. Theoretical and methodological inconsistencies were evident both within and between many of the studies. As such, the results of the included studies must be interpreted with caution. If the negative association between obesity and attainment is accepted, it still remains doubtful whether obesity is exerting a socially important effect upon educational attainment
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