International Data Access Network (IDAN)

With legal frameworks changing, administrative data can increasingly be utilised both for official statistics and to facilitate new research, enabling the development of evidence-based policy for the public benefit. Secure access conditions generally apply to using these rich, highly detailed data. However, using data from various sources is difficult when they are fragmented in “silos” between several Research Data Centres (RDCs) as can happen at a national level, and is very likely to be the case at an international level. This is a major obstacle for international comparative research. Based on user consultations, on discussions with international organisations such as OECD and Eurostat and based on lessons learned from projects as, “Data without Boundaries” and the “Nordic Microdata Access Network”, IDAN aims to create a concrete operational international framework enabling access to controlled data for research. IDAN, founded in 2018, involves six RDCs from France, Germany, the Netherlands and the United Kingdom. Initially, the partners’ access systems are being implemented in each partners\u27 premise based on bilateral agreements. This process involves combining requirements of security and surveillance for Safe Rooms, thus paving the way for next steps toward an integrated RDCs network. This presentation will describe how IDAN is setting up a new concrete environment for researchers to work remotely with data from the other partners within their local RDC. The paper will present first project developments, lessons and impact for research that are also of interest for national contexts where administrative data are held in multiple data centres

Screening for breast cancer : medicalization, visualization and the embodied experience

Women’s perspectives on breast screening (mammography and breast awareness) were explored in interviews with midlife women sampled for diversity of background and health experience. Attending mammography screening was considered a social obligation despite women’s fears and experiences of discomfort. Women gave considerable legitimacy to mammography visualizations of the breast, and the expert interpretation of these. In comparison, women lacked confidence in breast awareness practices, directly comparing their sensory capabilities with those of the mammogram, although mammography screening did not substitute breast awareness in a straightforward way. The authors argue that reliance on visualizing technology may create a fragmented sense of the body, separating the at risk breast from embodied experience

Smoking in the home after childbirth: prevalence and determinants in an English cohort

Objectives Children's exposure to secondhand smoke (SHS) is causally linked to childhood morbidity and mortality. Over 38% of English children (aged 4–15) whose parents are smokers are exposed to SHS in the home. Little is known about the prevalence of SHS exposure in the homes of young infants (≤3 months). This study aimed to estimate maternal self-reported prevalence of SHS exposure among infants of women who smoked just before or during pregnancy, and identify factors associated with exposure. Setting Primary Care, Nottingham, England. Participants Current and recent ex-smoking pregnant women (n=850) were recruited in Nottingham, England. Women completed questionnaires at 8–26 weeks gestation and 3 months after childbirth. Data on smoking in the home 3 months after childbirth was available for 471 households.Primary and secondary outcome measures Maternal-reported smoking in the home 3 months after childbirth. Results The prevalence of smoking in the home 3 months after childbirth was 16.3% (95% CI 13.2% to 19.8%) and after multiple imputation controlling for non-response 18.2% (95% CI 14.0% to 22.5%). 59% of mothers were current smokers; of these, 24% reported that smoking occurred in their home compared to 4.7% of non-smokers. In multivariable logistic regression, mothers smoking ≥11 cigarettes per day were 8.2 times (95% CI 3.4 to 19.6) more likely to report smoking in the home. Younger age, being of non-white ethnicity, increased deprivation and less negative attitudes towards SHS were also associated with smoking in the home. Conclusions This survey of smoking in the home 3 months after childbirth found a lower prevalence than has been reported in older children. Interventions to support smoking mothers to quit, or to help them restrict smoking in the home, should target attitudinal change and address inequality relating to social disadvantage, younger age and non-white ethnic groups

The impact of Type 2 diabetes prevention programmes based on risk-identification and lifestyle intervention intensity strategies: a cost-effectiveness analysis.

AIMS: To develop a cost-effectiveness model to compare Type 2 diabetes prevention programmes targeting different at-risk population subgroups with a lifestyle intervention of varying intensity. METHODS: An individual patient simulation model was constructed to simulate the development of diabetes in a representative sample of adults without diabetes from the UK population. The model incorporates trajectories for HbA1c , 2-h glucose, fasting plasma glucose, BMI, systolic blood pressure, total cholesterol and HDL cholesterol. Patients can be diagnosed with diabetes, cardiovascular disease, microvascular complications of diabetes, cancer, osteoarthritis and depression, or can die. The model collects costs and utilities over a lifetime horizon. The perspective is the UK National Health Service and personal social services. We used the model to evaluate the population-wide impact of targeting a lifestyle intervention of varying intensity to six population subgroups defined as high risk for diabetes. RESULTS: The intervention produces 0.0003 to 0.0009 incremental quality-adjusted life years and saves up to £1.04 per person in the general population, depending upon the subgroup targeted. Cost-effectiveness increases with intervention intensity. The most cost-effective options are to target individuals with HbA1c > 42 mmol/mol (6%) or with a high Finnish Diabetes Risk (FINDRISC) probability score (> 0.1). CONCLUSION: The model indicates that diabetes prevention interventions are likely to be cost-effective and may be cost-saving over a lifetime. In the model, the criteria for selecting at-risk individuals differentially impact upon diabetes and cardiovascular disease outcomes, and on the timing of benefits. These findings have implications for deciding who should be targeted for diabetes prevention interventions

Public values for energy system change

In this paper we discuss the importance of framing the question of public acceptance of sustainable energy transitions in terms of values and a ‘whole-system’ lens. This assertion is based on findings arising from a major research project examining public values, attitudes and acceptability with regards to whole energy system change using a mixed-method (six deliberative workshops, n=68, and a nationally representative survey, n = 2441), interdisciplinary approach. Through the research we identify a set of social values associated with desirable energy futures in the UK, where the values represent identifiable cultural resources people draw on to guide their preference formation about particular aspects of energy system change. As such, we characterise public perspectives as being underpinned by six value clusters relating to efficiency and wastefulness, environment and nature, security and stability, social justice and fairness, autonomy and power, and processes and change. We argue that this ‘value system’ provides a basis for understanding core reasons for public acceptance or rejection of different energy system aspects and processes. We conclude that a focus on values that underpin more specific preferences for energy system change brings insights that could provide a basis for improved dialogue, more robust decision- making, and for anticipating likely points of conflict in energy transitions

Residential segregation and the fertility of immigrants and their descendants

Measures of community population composition, like residential segregation, are important theoretical mechanisms that have the potential to explain differences in fertility between immigrants, their descendants, and destination natives. However, only a handful of studies explore these mechanisms, and most are limited by the fact that they carry out cross-sectional analysis. This study proposes a new approach, which focuses on community composition in childhood. It uses longitudinal census data and registered births in England and Wales to investigate the relationship between completed fertility and multiple measures of community composition, including residential segregation. The results show that the fertility of immigrants is closer to native fertility if they grow up in less segregated areas. This provides evidence in support of the childhood socialisation hypothesis. Furthermore, residential segregation explains some of the variation in completed fertility for second generation women from Pakistan and Bangladesh, the only second generation group to have significantly higher completed fertility than natives. This suggests one reason why the fertility of some South Asians in England and Wales may remain ‘culturally entrenched’. All of these findings are consistent for different measures of community composition. They are also easier to interpret than the results of previous research because exposure is measured before childbearing has commenced, therefore avoiding many issues relating to selection, simultaneity and conditioning on the future

Unhealthy Snack Food and Beverage Consumption Is Associated with Lower Dietary Adequacy and Length-for-Age z-Scores among 12-23-Month-Olds in Kathmandu Valley, Nepal.

BACKGROUND: Consumption of unhealthy snack foods and beverages (USFBs) in low- and middle-income countries (LMICs) is rising, with global awareness increasing about risks of overnutrition. However, little is known about the relation between USFB consumption and young children's diet/nutritional outcomes in contexts where nutrient density of complementary foods is often low. OBJECTIVES: This study assessed the association of high USFB consumption, compared with low consumption, with nutrient intakes, dietary adequacy, iron status, and growth in young children in Kathmandu Valley, Nepal. METHODS: A cross-sectional survey was conducted in a representative sample of 745 primary caregivers of children aged 12-23 mo. Food consumption was measured through quantitative 24-h recalls, and child anthropometric measurements and capillary blood samples were collected. Using adjusted linear/logistic regression models, nutrient intakes, dietary adequacy, length-for-age and weight-for-length z-scores (LAZ and WLZ, respectively), and iron status were compared between lowest and highest tertiles of consumption based on the contribution of USFBs to total energy intakes (TEIs). Mediation of the relation between USFB consumption and LAZ via lowered dietary adequacy was explored using structural equations modeling. RESULTS: On average, USFBs contributed 46.9% of TEI among the highest tertile of consumers, compared with 5.2% of TEI among the lowest. Compared with low-USFB consumers, high-USFB consumers had lower nutrient intakes and a greater proportion were at risk of inadequate intakes for 8 nutrients. Mean LAZ was nearly 0.3 SD lower among high-USFB consumers than low consumers (P = 0.003), with this relationship partially mediated through dietary adequacy. No associations were found with stunting prevalence or iron status. Prevalence of overweight/obesity was low. CONCLUSIONS: In this LMIC context, high USFB consumption among young children was associated with inadequate micronutrient intakes, which can contribute to poor growth outcomes. Addressing increased availability of USFBs in LMIC food systems should be a priority for policies and programs aiming to safeguard child nutrition

Cite the data communications campaign toolkit 2020

The free resources in this toolkit are for anyone needing to promote the importance of citing data correctly across research and Higher Education. This toolkit is to be used by individuals or teams based in libraries and research centres, academic institutions, journals, national research organisations, networks including academics and data managers, that need to improve data citation with their key stakeholders but do not necessarily have capacity to run dedicated promotional campaigns. The toolkit itself does not explain how to cite data correctly, but many of the resources do. Launched by the UK Data Service, this toolkit shares promotional activities as part of the #CiteTheData campaign to help you reach key audiences with minimal resource

Data for revisiting qualitative data reuse: A decade on

Secondary analysis of qualitative data entails reusing data created from previous research projects for new purposes. This data represents part of the data supporting an article that provides evidence of the growth of data reuse in the United Kingdom. There are two distinct data sources that quantify the scale, types, and trends of reuse of qualitative data: (a) downloads of archived data collections held at the UK Data Service and (b) publication citations. Although the focus of the article is on the United Kingdom, some discussion of the international environment is provided. The conclusion summarizes the major findings, including some conjectures regarding what makes qualitative data attractive for reuse and sharing

Census 2011 Microdata Teaching File for England and Wales

<p>Abstract copyright UK Data Service and data collection copyright owner.</p>The <I>Census 2011 Microdata Teaching File for England and Wales </I> data collection forms part of the statistical outputs from the 2011 UK Census. The Teaching File is an open access dataset constructed from the safeguarded microdata sample of individuals (see SNs 7605 and 7682, and below for background information). Converted by the UK Data Service Census Support Service, it is an SPSS/Stata version of the spreadsheet Microdata Teaching File for England and Wales produced by the Office for National Statistics (ONS), drawn from data collected in the 2011 Census. The file was produced by ONS with a variables list and a user guide – all of which are considered the essential and definitive companions to the data. The original spreadsheet format Microdata Teaching File is an open government file is available from the ONS Census 2011 <a href="http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/census-microdata/microdata-teaching-file/index.html" title="Microdata Teaching File">Microdata Teaching File</a> webpage. More information about the teaching file and Census 2011, including forms and links to other Census data, are available both on the ONS site or via the UK Data Service <a href="http://census.ukdataservice.ac.uk" title="Census Support">Census Support</a> webpages. <br> <br> <br> <b>Background to Census 2011 microdata products</b><br> The safeguarded sample was identified as a key Census user requirement, highlighted as part of a report specifying microdata products from the 2011 Census written by an expert user, Dr. Jo Wathan from the University of Manchester. The purpose of a safeguarded sample of individuals is to be able to disseminate a detailed microdata file without onerous licensing conditions, by reducing the overall amount of detail compared to the secure samples. Whilst supplying sufficient detail on core variables to fulfil the intended aim of the microdata products, the safeguarded sample is a valuable multi-purpose research file that will be used on a wide range of projects. (For Censuses prior to 2011, these data may have been referred to as 'Samples of Anonymised Records', or SARSs.)<br> <br> In total, five microdata samples are proposed from the 2011 Census:<ul><li>one public, a Teaching File of individuals (this study, SN 7613);</li><li>two safeguarded, one file of individuals at regional level (see SN 7605) and one at local authority level (see SN 7682);</li><li>and two secure, one file of households and one of individuals.</li></ul><B>Main Topics</B>:<br>Age, economic activity, ethnicity, health, industry, marital status, occupation, region, religion, UK born