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<p>The <i>Health Survey Northern Ireland</i>&nbsp;(HSNI) was commissioned by the Department of Health in Northern Ireland and the Central Survey Unit (CSU) of the Northern Ireland Statistics and Research Agency (NISRA) carried out the survey on their behalf. This survey series has been running on a continuous basis since April 2010 with separate modules for different policy areas included in different financial years. It covers a range of health topics that are important to the lives of people in Northern Ireland. The HSNI replaces the previous&nbsp;<i>Northern Ireland Health and Social Wellbeing Survey</i> (available under SNs 4589, 4590 and 5710).</p><p>Adult BMI, height and weight measurements, accompanying demographic and derived variables, geography, and a BMI weighting variable, are available in separate datasets for each survey year.</p><p> Further information is available from the <a class="external" href="https://www.nisra.gov.uk/health-survey-northern-ireland" title="Northern Ireland Statistics and Research Agency">Northern Ireland Statistics and Research Agency</a> and the <a class="external" href="https://www.health-ni.gov.uk/topics/doh-statistics-and-research/health-survey-northern-ireland" title="Department of Health (Northern Ireland)">Department of Health (Northern Ireland)</a> survey webpages.<br> </p> <p>Data gathered in the HSNI 2019-2020. Variables include measured height and weight, calculated BMI including groupings, age, sex and geography.<br></p>

<p>The <i>Health Survey Northern Ireland</i>&nbsp;(HSNI) was commissioned by the Department of Health in Northern Ireland and the Central Survey Unit (CSU) of the Northern Ireland Statistics and Research Agency (NISRA) carried out the survey on their behalf. This survey series has been running on a continuous basis since April 2010 with separate modules for different policy areas included in different financial years. It covers a range of health topics that are important to the lives of people in Northern Ireland. The HSNI replaces the previous&nbsp;<i>Northern Ireland Health and Social Wellbeing Survey</i> (available under SNs 4589, 4590 and 5710).</p><p>Adult BMI, height and weight measurements, accompanying demographic and derived variables, geography, and a BMI weighting variable, are available in separate datasets for each survey year.</p><p> Further information is available from the <a class="external" href="https://www.nisra.gov.uk/health-survey-northern-ireland" title="Northern Ireland Statistics and Research Agency">Northern Ireland Statistics and Research Agency</a> and the <a class="external" href="https://www.health-ni.gov.uk/topics/doh-statistics-and-research/health-survey-northern-ireland" title="Department of Health (Northern Ireland)">Department of Health (Northern Ireland)</a> survey webpages.<br> </p> <p>Data gathered in the HSNI 2015-2016. Variables include measured height and weight, calculated BMI including groupings, age, sex and geography.<br></p>

&nbsp; <p>ASPIRES 3 was a four-year (2020-2023) phase of a 14-year mixed-methods project which investigated factors shaping the trajectories of young people in England into, through and out of STEM education. ASPIRES 3 extended previous research (see below) conducted with the same cohort of young people, born between 1 September 1998 and 31 August 1999. At the time of ASPIRES 3, the young people surveyed were aged 21/22. </p><p>The ASPIRES methodology comprised a quantitative online survey of the cohort and repeat (longitudinal) interviews with a selected sub-sample of students and their parents. Please note that this dataset comprises the quantitative (survey) data only, not the qualitative (interview) data. The survey built upon previous waves of ASPIRES and collected various socio-demographic data (including gender and ethnicity), attainment (self-reported) and attitudinal data.&nbsp;&nbsp;</p><p>The first ASPIRES study is held under SN 9222. ASPIRES 2 is held under SN 9223.</p>

<div><div>The <em>English Longitudinal Study of Ageing</em>&nbsp;(ELSA) study is a longitudinal survey of ageing and quality of life among older people that explores the dynamic relationships between health and functioning, social networks and participation, and economic position as people plan for, move into and progress beyond retirement. The main objectives of ELSA are to:</div> <ul> <li>construct waves of accessible and well-documented panel data;</li> <li>provide these data in a convenient and timely fashion to the scientific and policy research community;</li> <li>describe health trajectories, disability and healthy life expectancy in a representative sample of the English population aged 50 and over;</li> <li>examine the relationship between economic position and health;</li> <li>nvestigate the determinants of economic position in older age;</li> <li>describe the timing of retirement and post-retirement labour market activity; and</li> <li>understand the relationships between social support, household structure and the transfer of assets.</li> </ul> <p>Further information may be found on the <a title="ELSA project" href="https://www.elsa-project.ac.uk/">ELSA project</a> website, the <a href="http://www.elsa-project.ac.uk/">Institute for Fiscal Studies: ELSA</a> webpages; and the <a href="http://www.natcen.ac.uk/our-research/research/english-longitudinal-study-of-ageing/">NatCen Social Research: ELSA</a> webpages.<br><br></p> <p><strong>Health conditions research with ELSA - June 2021</strong></p> <p>The ELSA Data team have found some issues with historical data measuring health conditions. If you are intending to do any analysis looking at the following health conditions, then please contact the ELSA Data team at NatCen on&nbsp;<a href="mailto:elsadata@natcen.ac.uk">elsadata@natcen.ac.uk</a>&nbsp;for advice on how you should approach your analysis. The affected conditions are: eye conditions (glaucoma; diabetic eye disease; macular degeneration; cataract), CVD conditions (high blood pressure; angina; heart attack; Congestive Heart Failure; heart murmur; abnormal heart rhythm; diabetes; stroke; high cholesterol; other heart trouble) and chronic health conditions (chronic lung disease; asthma; arthritis; osteoporosis; cancer; Parkinson's Disease; emotional, nervous or psychiatric problems; Alzheimer's Disease; dementia; malignant blood disorder; multiple sclerosis or motor neurone disease).</p> <p><br><strong>Special Licence Data</strong>:</p> <p>Special Licence Access versions of ELSA have more restrictive access conditions than versions available under the standard End User Licence (see 'Access' section below).&nbsp;Users are advised to obtain the latest edition of SN 5050 (the End User Licence version) before making an application for Special Licence data, to see whether that is suitable for their needs. A separate application must be made for each Special Licence study.&nbsp;<br><br>Special Licence Access versions of ELSA include:</p> <ul> <li>Primary data from Wave 8 onwards (SN 8346) includes all the variables in the EUL primary dataset (SN 5050) as well as year and month of birth, consolidated ethnicity and country of birth, marital status, and more detailed medical history variables.</li> <li>Wave 8 Pension Age Data (SN 8375) includes all the variables in the EUL pension age data (SN 5050) as well as year and age reached state pension age variables.</li> <li>Wave 8 Sexual Self-Completion Data (SN 8376) includes sensitive variables from the sexual self-completion questionnaire.</li> <li>Wave 3 (2007) Harmonized Life History (SN 8831) includes retrospective information on previous histories, specifically, detailed data on previous partnership, children, residential, health, and work histories.</li> <li>Detailed geographical identifier files for Waves 1-8 which are grouped by identifier held under SN 8429 (Local Authority District Pre-2009 Boundaries), SN 8439 (Local Authority District Post-2009 Boundaries), SN 8430 (Local Authority Type Pre-2009 Boundaries), SN 8441 (Local Authority Type Post-2009 Boundaries), SN 8431 (Quintile Index of Multiple Deprivation Score), SN 8432 (Quintile Population Density for Postcode Sectors), SN 8433 (Census 2001 Rural-Urban Indicators), SN 8437 (Census 2011 Rural-Urban Indicators).</li> </ul> <p>Where boundary changes have occurred, the geographic identifier has been split into two separate studies to reduce the risk of disclosure. Users are also only allowed one version of each identifier:</p> <ul> <li>either SN 8429 (Local Authority District Pre-2009 Boundaries) or SN 8439 (Local Authority District Post-2009 Boundaries)</li> <li>either SN 8430 (Local Authority Type Pre-2009 Boundaries) or SN 8441(Local Authority Type Post-2009 Boundaries)</li> <li>either SN 8433 (Census 2001 Rural-Urban Indicators) or SN 8437 (Census 2011 Rural-Urban Indicators)</li> </ul> <p>ELSA Wave 6 and Wave 8 Self-Completion Questionnaires included an open-ended question where respondents could add any other comments they may wish to note down. These responses have been transcribed and anonymised. Researchers can request access to these transcribed responses for research purposes by contacting the ELSA Data Team at NatCen.</p></div> <div><span style="font-weight: bold;">English Longitudinal Study of Ageing: Waves 1-8, 2002-2017: Quintile Population Density for Postcode Sectors: Special Licence Access</span><br>This dataset contains a Quintile Population Density for Postcode Sectors variable for each Wave of ELSA to date, and a unique individual serial number variable is also included for matching to the main data files. These data have more restrictive access conditions than those available under the standard End User Licence (see 'Access' section).&nbsp;</div>

The dataset comprises interview transcripts, interview guidelines, questionnaire survey templates, qualitative data coding structures, and published papers from three main studies of the project. The research was conducted by three researchers: (1) Investigating stakeholder collaboration for risk-sensitive urban planning using survey and case study strategies, (2) Exploring community engagement for risk-sensitive urban planning through a grounded theory study, and (3) Community resilience in risk-sensitive urban planning. Data for the stakeholder collaboration study were collected using questionnaire surveys and interviews with practitioners involved in disaster risk reduction and urban planning in Sri Lanka. The analysis utilized interpretive structural modeling and system dynamics. For the community engagement study, data were collected through key informant interviews with practitioners involved in disaster risk reduction, climate change adaptation, and urban planning, as well as focus group discussions with community participants in Sri Lanka. The analysis involved grounded theory-based qualitative data coding (open coding, focused coding, and theoretical coding), Total Interpretive Structural Modeling, stakeholder analysis, and social network analysis. The community resilience study data were collected using interviews in Pakistan, and the analysis was conducted through qualitative data coding and the Q-Sort method.

<p>The <span>Children&#8217;s People and Nature Survey</span>&#160;(C-PaNS) provides information on how children and young people experience and think about the natural environment. Each year, the survey samples around 4,000 children and young people aged 8 -15 years across two survey waves, one in term time and one in holiday time.</p><p>Waves 5 and 6 of the C-PaNS ran between &#10;the 16 and 23 August 2023 (during the school holidays) and 18 and 26 &#10;September 2023 (during term-time).&#160;<br></p><p>Different versions of the C-PaNS are available from the &#10;UK Data Archive under Open Access (SN 9174) conditions, End User Licence&#10; (SN 9175), and Secure Access (SN 9176).</p><p>The Secure Access version&#10; includes the same data as the End User Licence version, but includes &#10;more detailed variables including:</p><ul><li>age as a continuous variable</li><li>income (all categories)</li><li>number of people living in household as a continuous variable</li><li>ethnicity</li><li>disability</li><li>home geography variables, including local authority district and urban/rural area</li><li>open answers for thematic analysis in CS_Q14 and CS_Q15</li></ul><p>The Open Access version includes the same data as the End User Licence version, but does not include the following variables:<br></p><ul><li>age band</li><li>number of people living in household (Top coded to &#8216;6 and over&#8217;)</li><li>access to private garden</li><li>income (top coded to &#163;50,000+)</li><li>gender</li><li>places withing walking distance from home&#160;</li></ul><p></p><p>Researchers&#10; are advised to review the Open Access and/or the End User Licence &#10;versions to determine if these are adequate prior to ordering the Secure&#10; Access version.</p><p>Accredited &#10;official statistics are called National Statistics in the Statistics and&#10; Registration Service Act 2007. An explanation can be found on the <a href="https://osr.statisticsauthority.gov.uk/accredited-official-statistics/">Office for Statistics Regulation website</a>.</p><p></p><p>Natural&#10; England's statistical practice is regulated by the Office for &#10;Statistics Regulation (OSR). OSR sets the standards of trustworthiness, &#10;quality and value in the Code of Practice for Statistics that all &#10;producers of official statistics should adhere to.</p><p> These &#10;accredited official statistics were independently reviewed by the Office&#10; for Statistics Regulation in January 2023. They comply with the &#10;standards of trustworthiness, quality and value in the Code of Practice &#10;for Statistics and should be labelled &#8216;accredited official statistics&#8217;.</p><p>Users are welcome to contact Natural England directly at <a href="mailto:people_and_nature@naturalengland.org.uk">people_and_nature@naturalengland.org.uk</a> with any comments about how they meet these standards. Alternatively, users can contact OSR by emailing <a href="mailto:regulation@statistics.gov.uk">regulation@statistics.gov.uk</a> or via the OSR website.</p><p>Since&#10; the latest review by the Office for Statistics Regulation, Natural &#10;England have continued to comply with the Code of Practice for &#10;Statistics, and have made the following improvements:</p><ol><li>Published a development plan with timetables for future work, which will be updated annually</li><li>Ensured that users have opportunities to contribute to development planning through their biannual Research User Group</li><li>Enabled wider access to the data by publishing raw data sets through the UK Data Service</li><li>Provided users with guidance on how statistics from their products can be compared with those produced in the devolved nations</li><li>Published guidance on the differences between PaNS and MENE</li><li>Improved&#10; estimates of the percentage of people visiting nature in the previous &#10;14 days by reducing the amount of respondents answering &#8216;don&#8217;t know&#8217;.</li></ol><p>These data are available in Excel, SPSS, as well as Open Document Spreadsheet (ODS) formats.</p><p></p> <br>

We present four psychophysics experiments investigating spatiotemporal summation in various visual contexts. The experiments are 4AFC detection tasks where a target is briefly represented in one of four known locations. Stimuli consist of targets with various spatial (0 to .9dva) or temporal (0 to 100ms) properties. Staircase procedures are used to identify luminance thresholds at which the targets are detected with 75% accuracy. Lower thresholds are taken as indictive of greater summation than higher thresholds. In the first experiment, the target stimuli consist of two probes presented with varying spatial (0 to .9dva) and temporal (0 to 100ms) separation. We find an interaction between spatial and temporal integration: as spatial separation increased, the temporal separation at which the probes are most easily detected also increased. That is, probes with moderate spatial separation are more easily detected when they also have temporal separation compared to when the two probes are presented simultaneously. In a second study, targets consist of a single probe, presented for various durations (8 to 100ms), with the aim of identifying the critical period during which complete summation occurs (e.g., Bloch’s critical duration). Similarly, a third experiment used targets presented for 8ms with varying lengths of .01 to .9dva to identify the spatial area of complete summation (e.g., Ricco’s area). A fourth study builds on the first experiment, but rather than a single target appearing in one of four locations, three targets are presented and participants identify the location which did NOT contain a target. Again, we find that for conditions with spatial separation, participants had higher lower thresholds when the probes were also temporally separated. Experiments 1 and 4 provide robust evidence that detection thresholds can be lower for temporally separated targets than for concurrently presented targets. The results from experiments 1 and 4 do not align with the Ricco area or Bloch’s critical duration. However, the results can be interpreted in terms of a facilitating effect from motion detectors. Experiment 4 suggests that this effect is the product of multiple local mechanisms, rather than due to some global motion processing.

<p><i>Next Steps</i>, previously known as the 'Longitudinal Study of Young People in England' (LSYPE1), follows the lives of around 16,000 people born in 1989-90 in England. There have been eight sweeps of the study so far, between 2004 and 2016.<br><br>The study began in 2004 and included young people in Year 9 who attended state and independent schools in England. Following the initial survey at age 13-14, the cohort members were interviewed every year until 2010, when they were aged 19-20, to map their journeys from compulsory schooling to university, training and, ultimately, entry into the labour market. The survey over the past seven sweeps (2004-2010) has thus mainly focused on the educational and early labour market experiences of young people, but also included diverse information on aspects of their lives including social participation and attitudes, risky-, crime- and anti-social behaviours, health and wellbeing, family formation, and aspirations for the future. The survey data has also been linked to the National Pupil Database (NPD) records, including cohort members' individual scores at Key Stage 2, 3 and 4.<br><br>Interviews for the first four sweeps were conducted face-to-face, and young people were interviewed along with their parents. At Sweeps 5 to 7, a mixed mode approach was introduced and respondents – the young person only - could complete the interview online, over the telephone, or face-to-face.<br><br>The first seven sweeps of the study (2004-2010) were funded and managed by the Department for Education (DfE). In 2013 the management of Next Steps was transferred to the Centre for Longitudinal Studies (CLS) at the UCL Institute of Education.<br><br>In 2015 Next Steps was restarted, under the management of CLS, to find out how the lives of the cohort members have turned out at age 25. The eighth sweep of the study took place between August 2015 and September 2016 with the fieldwork carried out by NatCen Social Research. The Next Steps age 25 survey was aimed at increasing the understanding of the lives of the young adults growing up today, and in particular the transitions out of education and into early adult life. It maintained the strong focus on education, but the content was broadened to become a more multi-disciplinary research resource. Data was collected about cohort members' education and job training, employment and economic circumstances, housing and family life, physical and emotional health, and identity and participation. A wide range of administrative data linkage consents were collected covering health, education, economics and criminal behaviour. The collection of the data involved a sequential mixed-mode design. Participants were first invited to participate online, non-responders were then contacted by telephone and face-to-face interview afterwards.<br><br>The age 25 survey sample design comprised contacting all cohort members who had ever taken part in any of the previous sweeps of the study (except those who had given a clear refusal or are ineligible). Further information for Sweep 8 of Next Steps may be found on the&nbsp;<a class="external" href="https://cls.ucl.ac.uk/cls-studies/next-steps/" title="Centre for Longitudinal Studies" target="_blank">CLS</a>&nbsp;website.<br><br><b>Secure Access datasets:</b><br>Secure Access versions of Next Steps have more restrictive access conditions than versions available under the standard End User Licence (see 'Access' section).<br><br>Secure Access versions of the Next Steps include:</p><ul><li>sensitive variables from the questionnaire data for Sweeps 1-7. These are available under Secure Access SN 8656. All questionnaire data from Sweep 8 is released under End User licence.&nbsp;&nbsp;<br></li><li>National Pupil Database (NPD) linked data at Key Stages 2, 3, 4 and 5, England. These are available under SN 7104.</li><li>Linked Individualised Learner Records learner and learning aims datasets for academic years 2005 to 2014, England.&nbsp; These are available under SN 8577.<br></li><li>detailed geographic indicators for Sweep 1 and Sweep 8 (2001 Census Boundaries) - available under SN 8189 and geographic indicators for Sweep 8 (2011 Census Boundaries) - available under SN 8190. The Sweep 1 geography file was previously held under SN 7104.</li><li>Linked Health Administrative Datasets (Hospital Episode Statistics) for years 1998-2017 held under SN 8681.</li><li>Linked&nbsp;Student Loans Company Records for years 2007-2021 held under SN 8848.</li></ul><p>When researchers are approved/accredited to access a Secure Access version of Next Steps, the End User Licence version of the study - Next Steps: Sweeps 1-8, 2004-2016 (SN 5545) - will be automatically provided alongside.<br></p> <p class="x_x_x_x_MsoNormal">The Student Loans Company (SLC) is a non-profit making government-owned organisation that administers loans and grants to students in colleges and universities in the UK. The <span style="font-style: italic;">Next Steps: Linked Administrative Datasets (Student Loans Company Records), 2007 - 2021: Secure Access</span> includes data on higher education loans for those <span style="font-style: italic;">Next Steps</span> participant who provided consent to SLC linkage in the age 25 sweep. The matched SLC data contains information about participant's applications for student finance, payment transactions posted to participant's accounts, repayment details and overseas assessment details.<br></p>

<p>The <span style="font-style: italic;">Cancer Research UK Primary Care Cancer Survey</span> was developed in 2013 to assess and track front-line UK primary care professionals' knowledge, behaviour and attitudes to prevention, early diagnosis, and screening of cancer. The survey has been conducted annually since 2013 (with the exception of 2018-2022, where it shifted to every two years). The survey includes GPs, Practice Nurses and Community Pharmacists. <br><br>Recruitment was organised through external recruitment agencies who had pre-existing panels of healthcare professionals who were available to take part in research. Bespoke recruitment also took place to make sure target numbers were met in the Devolved Nations and across different health professional groups (e.g. Practice Nurses and Community Pharmacists). The survey typically aims to recruit between 1,000 - 1,2000 participants each year across the UK. The survey mainly consists of closed-ended questions but does include a handful of open-ended qualitative questions throughout.<br><br>Only the data from surveys completed in 2018, 2020 and 2022 are available from the UK Data Service.<br></p> <p><br></p>

The meta-data comprise five STATA do-file with the syntax used for the analyses for five publications. The proportion of older people is rapidly increasing and with that also the number of people in poor health. Finding ways to promote active and health aging is therefore highly important. This project aims to provide evidence on people's perceptions of their own aging to understand whether positive self-perceptions of aging act as a motivating factor that leads to greater engagement in social and physical activities, as well as in better maintenance of mental, physical, and cognitive health. This project specifically focuses on the bidirectional influences between self-perceptions and health as few studies so far investigated the bidirectionally of these two factors. Providing evidence in support of the causal pathway from self-perceptions to activity engagement and health is highly important to provide evidence that targeting self-perceptions could potentially lead to better health in middle and older age. This project comprises five studies/aims investigating: (1) the role of awareness of age-related changes as predictors of cognitive trajectories over two years. (2) the bidirectional associations between awareness of age-related changes and indicators of physical, mental, and cognitive health and functioning in middle and older age. (3) the cross-sectional associations between awareness of age-related changes and number and type of mental and physical health conditions. (4) the role of awareness of age-related change in the longitudinal association of pain with physical activity engagement. (5) the bidirectional association between awareness of age-related change and use of social media.