Levelling Up for health in towns? Development of a new deprivation index: the 'Stronger Towns Index' and its association with self-rated health and migration in England, between 2001 and 2011.

Aim: To develop the 'Stronger Towns Index': a deprivation index that took into account characteristics of areas encompassing towns that may be eligible for redevelopment funding and explore how this index was associated with self-rated health and migration within England between 2001 and 2011. Subject and methods: All members of the ONS Longitudinal Study in England aged 16 and over in 2001 whose records included a self-rated health response and a valid local authority code.Local authorities in England were ranked using a composite index developed using the five metrics set out in the Stronger Towns Funding: productivity, income, skills, deprivation measures, and the proportion of people living in towns.The index was split into deciles, and logistic regression carried out on the association between decile and self-rated health in 2001 in the main sample (n = 407,878) and decile change and self-rated health in 2011 in a subsample also present in 2011, with migration information (n = 299,008). Results: There were areas in the lowest deciles of Town Strength who did not receive funding. After multiple adjustment, LS members living in areas with higher deciles were significantly more likely (7% to 38%) to report good health than those in the lowest decile in 2001. Remaining in the same decile between 2001 and 2011 was associated with 7% lower odds of good self-rated health in 2011. Conclusion: It is important to consider health in towns when allocating funding. Areas in the Midlands may have missed out on funding which might help mitigate poor health.

Does it matter how we measure the health of older people in places for associations with labour market outcomes? A cross-sectional study.

BACKGROUND: Inequalities between different areas in the United Kingdom (UK) according to health and employment outcomes are well-documented. Yet it is unclear which health indicator is most closely linked to labour market outcomes, and whether associations are restricted to the older population. METHODS: We used the Office for National Statistics (ONS) Longitudinal Study (LS) to analyse which measures of health-in-a-place were cross-sectionally associated with three employment outcomes in 2011: not being in paid work, working hours (part-time, full-time), and economic inactivity (unemployed, retired, sick/disabled, other). Seven health indicators from local-authority census and vital records data were chosen to represent the older working age population (self-rated health 50-74y, long-term illness 50-74y, Age-specific mortality rate 50-74y, avoidable mortality, life expectancy at birth and 65 years, disability-free life expectancy at 50 years, and healthy life expectancy at 50 years). An additional two health indicators (life expectancy at birth and infant mortality rate) were included as test indicators to determine if associations were limited to the health of older people in a place. These nine health indicators were then linked with the LS sample aged 16-74y with data on employment outcomes and pertinent demographic and individual health information. Interactions by gender and age category (16-49y vs. 50-74y) were also tested. FINDINGS: For all health-in-a-place measures, LS members aged 16-74 who resided in the tertile of local authorities with the 'unhealthiest' older population, had higher odds of not being in paid work, including all four types of economic inactivity. The strongest associations were seen for the health-in-a-place measures that were self-reported, long-term illness (Odds Ratio 1.60 [95% Confidence Intervals 1.52, 1.67]) and self-rated health (1.60 [1.52, 1.68]). Within each measure, associations were slightly stronger for men than women and for the 16-49y versus 50-74y LS sample. In models adjusted for individual self-rated health and gender and age category interactions, health-in-a-place gradients were apparent across all economic inactivity's. However, these same gradients were only apparent for women in part-time work and men in full-time work. CONCLUSION: Improving health of older populations may lead to wider economic benefits for all.

(Un-) healthy ageing: Geographic inequalities in disability-free life expectancy in England and Wales.

Health expectancies are an indicator of healthy ageing that reflect quantity and quality of life. Using limiting long term illness and mortality prevalence, we calculate disability-free life expectancy for small areas in England and Wales between 1991 and 2011 for males and females aged 50-74, the life stage when people may be changing their occupation from main career to retirement or alternative work activities. We find that inequalities in disability-free life expectancy are deeply entrenched, including former coalfield and ex-industrial areas and that areas of persistent (dis-) advantage, worsening or improving deprivation have health change in line with deprivation change. A mixed health picture for rural and coastal areas requires further investigation as do the demographic processes which underpin these area level health differences.

Measuring the health of people in places: A scoping review of OECD member countries.

A scoping review was performed to identify how Organisation for Economic Co-operation and Development (OECD) countries measure overall health for sub-national geographies within each country. Sixty publications were selected from MEDLINE, Scopus and Google Scholar, plus information extracted from 37 of 38 OECD countries statistical agency and/or public health institute websites that were available in English. Data sources varied by categorisation into national statistical agency mortality (n = 7) or population-level survey morbidity (n = 5) health indicators. Region was the most common geographic scale (e.g., eight indicators for 26 countries), slightly fewer indicators for urban areas (max countries per most frequent indicator = 24), followed by municipality (range of 1-14 countries per indicator). Other geographies, particularly those at smaller granularity, were infrequently available across health indicators and countries. Wider availability of health indicators at smaller, and non-administrative, geographies is needed to explore the best way to measure comparative population health in local areas.

Is studying medicine good for your health? Long-term health outcomes of a cohort of clinical medicine graduates in England and Wales in the ONS Longitudinal Study.

OBJECTIVE: To quantify the potential protective effect on health associated with study of a clinical medicine degree. DESIGN: Prospective population-based cohort data collected at census and linked over time: cohort born before 1976 and survived to 2011. Subgroup analysis on those who reported having a degree at 1991 census. SETTING: England and Wales population-based, including institutions. PARTICIPANTS: 159 116 men and 174 062 women; 13 390 men with degrees and 8143 women with degrees. MAIN OUTCOME MEASURE: Self-reported general health in 2011 based on logistic regression analysis. RESULTS: Male graduates had 92% higher odds of having good or very good health than male non-graduates after adjustment for age and socioeconomic position (CI 1.82 to 2.03). Female graduates had 85% higher odds of having good or very good health than female non-graduates after adjustment for age and socioeconomic position (CI 1.73 to 1.98). Male clinical medicine graduates had 45% higher odds of having good or very good health than male humanities graduates after adjustment for age and socioeconomic position (CI 1.09 to 1.92). Male physical sciences graduates also had higher odds of having good or very good health than male humanities graduates after adjustment for age and socioeconomic position, but life sciences and social science graduates did not. There were no significant differences by degree subject for women. CONCLUSIONS: Male graduates in clinical medicine have higher odds of good self-reported health. Knowledge of medicine may confer a health advantage for men above that of other degrees.

#StateOfMind: Family Meal Frequency Moderates the Association Between Time on Social Networking Sites and Well-Being Among U.K. Young Adults.

Family belonging may influence relationships between the amount of time spent on social networking sites (SNS) and well-being. We examined the SNS and well-being association among young adults and investigated whether different markers of family belonging moderated this association. SNS, well-being, and family data (n = 2,229) were collected from adults aged 16-21 years living with their parent(s) in the United Kingdom. Participants were classed as nonusers (0 hours/weekday spent chatting or interacting with friends through social Web sites), moderate (nonzero to 4 hours/weekday), or heavy users (4+ hours/weekday). Multivariable linear regressions examined the SNS use and well-being associations; interaction terms tested whether these varied by family belonging (family meal frequency, strength of family support, and importance of family to personal identity). Well-being scores were lower for heavy users of SNS compared with moderate users (p = 0.044), and for those sharing few or no family meals (p < 0.001). The SNS use and well-being association was significantly moderated by family meal frequency (p = 0.009). Among those reporting no family meals, well-being scores were lower for heavy users versus nonusers (22.4 vs. 25.3). Well-being scores were similar across the SNS use categories among those having more family meals. Among heavy users of SNS, young adults having no family meals may be particularly vulnerable to the harms of being online. Our findings highlight the importance of minimizing the harms of heavy SNS use, including support for families to enable them to develop and build young adults' resilience to the stresses and anxieties that potentially accompany online social networking.

Inequalities in time from stopping paid work to death: findings from the ONS Longitudinal Study, 2001-2011.

BACKGROUND: UK state pension eligibility ages are linked to average life expectancy, which ignores wide socioeconomic disparities in both healthy and overall life expectancy. OBJECTIVES: Investigate whether there are occupational social class differences in the amount of time older adults live after they stop work, and how much of these differences are due to health. METHODS: Participants were 76 485 members of the Office for National Statistics Longitudinal Study (LS), who were 50-75 years at the 2001 census and had stopped work by the 2011 census. Over 10 years of follow-up, we used censored linear regression to estimate mean differences in years between stopping work and death by occupational social class. RESULTS: After adjustment for age, both social class and health were independent predictors of postwork duration (mean difference (95% CI): unskilled class vs professional: 2.7 years (2.4 to 3.1); not good vs good health: 2.4 years (1.9 to 2.9)), with LS members in the three manual classes experiencing ~1 additional year of postwork duration than professional workers (interaction p values all <0.001). Further adjustment for gender and educational qualifications was reduced but did not eliminate social class and postwork duration associations. We estimate the difference in postwork years between professional classes in good health and unskilled workers not in good health as 5.1 years for women (21.0 vs 26.1) and 5.5 years for men (19.5 vs 25.0). CONCLUSIONS: Lower social class groups are negatively affected by uniform state pension ages, because they are more likely to stop work at younger ages due to health reasons.

Exploring the characteristics of newly defined at-risk drinkers following the change to the UK low risk drinking guidelines: a retrospective analysis using Health Survey for England data.

BACKGROUND: Alcohol guidelines enable individuals to make informed choices about drinking and assist healthcare practitioners to identify and treat at-risk drinkers. The UK Low Risk Drinking Guidelines were revised in 2016 and the weekly guideline for men was reduced from 21 to 14 units per week. This study sought to retrospectively establish 1) the number of additional at-risk male drinkers in England, 2) which demographic characteristics were associated with being an at-risk drinker under the previous versus new guidelines. METHODS: Average weekly alcohol consumption for men aged 16+ from the cross-sectional nationally representative Health Survey for England were used to 1) calculate annual population prevalence estimates for newly defined at-risk (> 14 to ≤21 units/week) male drinkers from 2011 to 2015 (N = 3487-3790), and 2) conduct logistic regression analyses for at-risk vs low risk male drinkers under the previous (> 21 vs ≤21 units/week) and new (> 14 vs ≤14 units/week) guidelines to assess characteristics associated with being at-risk drinkers under each guideline using 2015 data (N = 2982). RESULTS: Population prevalence estimates of newly defined at-risk drinkers ranged from 10.2% (2014 = 2,182,401 men)-11.2% (2011 = 2,322,896 men). Under the new guidelines, men aged 55-74 (OR = 1.63,95% CI = 1.25-2.12); men in managerial/professional occupations (OR = 1.64,95% CI = 1.34-2.00); current smokers (OR = 2.26,95% CI = 1.73-2.94), ex-regular smokers (OR = 2.01,95% CI = 1.63-2.47) and ex-occasional smokers (OR = 1.85,95% CI = 1.25-2.74); men from the North East (OR = 2.08,95% CI = 1.38-3.13) and North West (OR = 1.91,95% CI = 1.41-2.60) of England all had greater odds, and non-white men had reduced odds (OR = 0.53,95% CI = 0.34-0.80) of being at-risk drinkers, as they had under the previous guidelines. Under the new guidelines only: a higher percentage of at-risk drinkers aged 16-34 (32% vs 19%) attenuated the odds of men aged 35-54 being at-risk (OR = 1.18,95% CI = 0.92-1.51); a higher percentage of married at-risk drinkers (37% vs 24%) attenuated the odds of single men being at-risk (OR = 1.28,95% CI = 0.99-1.67); men from the West Midlands (OR = 1.68,95% CI = 1.17-2.42) and London (OR = 1.53,95% CI = 1.03-2.28) had greater odds of being at-risk drinkers. CONCLUSIONS: The change to the Low Risk Drinking Guidelines would have resulted in more than 2 million additional male at-risk drinkers in England. Most groups with greater odds of being at-risk drinkers under the new guidelines were those already known to be drinking the most, strengthening the case for targeted screening and education. Additionally, under the new guidelines, a marked proportion of 16-35 year olds and married men were at-risk and men in the West Midlands and London had greater odds of being at-risk drinkers. These groups may benefit from specific education around the new Low Risk Drinking Guidelines.

Linking local labour market conditions across the life course to retirement age: Pathways of health, employment status, occupational class and educational achievement, using 60 years of the 1946 British Birth Cohort.

Several studies have documented that older workers who live in areas with higher unemployment rates are more likely to leave work for health and non-health reasons. Due to tracking of area disadvantage over the life course, and because negative individual health and socioeconomic factors are more likely to develop in individuals from disadvantaged areas, we do not know at what specific ages, and through which specific pathways, area unemployment may be influencing retirement age. Using data from the MRC National Survey of Health and Development, we use structural equation modelling to investigate pathways linking local authority unemployment at three ages (4y, 26y and 53y) to age of retirement (right-censored). We explored five hypothesized pathways: (1) residential tracking, (2) health, (3) employment status, (4) occupational class, and (5) education. Initially, pathways between life course area unemployment, each pathway and retirement age were assessed individually. Mediation pathways were tested in the full model. Our results showed that area unemployment tracked across the life course. Higher area unemployment at ages 4 and 53 were independently associated with earlier retirement age [1% increase = mean -0.64 (95% CI: -1.12, -0.16) and -0.25 (95% CI: -0.43, -0.06) years]. Both were explained by adjustment for individual employment status at ages 26 and 53 years. Higher area unemployment at age 26 was associated with poorer health and lower likelihood of employment at aged 53; and these 2 individual pathways were identified as the key mediators between area unemployment and retirement age. In conclusion, these results suggest that interventions designed to create local employment opportunities for young adults should lead to extended working through improved employment and health at mid-life.

Gender differences and individual, household, and workplace characteristics: Regional geographies of extended working lives.

Increasing labour market participation among older workers is embedded in government policy in the United Kingdom and many other industrialised countries with rises in the state pension age in response to increasing life expectancy. Despite this, many workers stop working before state pension age with around a 20% reduction in the proportion of adults in work between ages 50 and 60 in 2011 in England and Wales. This paper considers the risk of remaining in work by region and gender between 2001 and 2011 for adults aged 40-49 in 2001. Men had significantly higher risk of extended working in the East Midlands (1.4×) East of England (1.5×), South East (1.6×), and South West (1.6×) compared with the North East. Women in all regions apart from London and Wales had significantly higher risk of extended working compared with the North East: ranging from 1.15 times in the North West and West Midlands to 1.6 times in the South West. Adjustment for nonemployment-related socio-economic status, housing tenure, qualifications, and car ownership, and employment status in 2001 attenuated all significant regional differences in extended working in men and in women in most regions. Workplace characteristics attenuated most of the remaining regional differences in women: women working in larger employers in 2001 or working at distances of 200 km or more, abroad or from home, had lower risk of remaining in work, whereas access to a car and higher working hours increased risk. Policies to increase qualifications and skills among older adults are recommended.

Investigating the growing trend of non-drinking among young people; analysis of repeated cross-sectional surveys in England 2005-2015.

BACKGROUND: Non-drinking among young people has increased over the past decade in England, yet the underlying factor driving this change is unknown. Traditionally non-drinking has been found to be associated with lower socio-economic status and poorer health. This study explores among which sub-groups non-drinking has increased, and how this correlates with changes in drinking patterns, to identify whether behaviours are becoming more polarised, or reduction is widespread among young people. METHODS: Among participants aged 16 to 24 years (N = 9699), within the annual cross-sectional nationally-representative Health Survey for England 2005-2015 datasets, the following analyses were conducted: 1) The proportion of non-drinkers among social-demographic and health sub-groups by year, and tests for linear trends among sub-groups, adjusting for age were calculated. In pooled analyses, an interaction between year and each variable was modelled in sex- and age-adjusted logistic regression models on the odds of being a non-drinker versus drinker 2) At the population level, spearman correlation co-efficients were calculated between the proportion non-drinking and the mean alcohol units consumed and binge drinking on the heaviest drinking day, by year. Ordinary least squares regression analyses were used, modelling the proportion non-drinking as the independent variable, and the mean units/binge drinking as the dependent variable. RESULTS: Rates of non-drinking increased from 18% (95%CI 16-22%) in 2005 to 29% (25-33%) in 2015 (test for trend; p < 0.001), largely attributable to increases in lifetime abstention. Not drinking in the past week increased from 35% (32-39%) to 50% (45-55%) (p < 0.001). Significant linear increases in non-drinking were found among most sub-groups including healthier sub-groups (non-smokers, those with high physical activity and good mental health), white ethnicity, north and south regions, in full-time education, and employed. No significant increases in non-drinking were found among smokers, ethnic minorities and those with poor mental health. At the population-level, significant negative correlations were found between increases in non-drinking and declines in the mean units consumed (ρ = - 0.85, p < 0.001), and binge drinking (ρ = - 0.87, p < 0.001). CONCLUSION: Increases in non-drinking among young people has coincided with a delayed initiation into alcohol consumption, and are to be welcomed. Future research should explore attitudes towards drinking among young people.

Identifying populations and areas at greatest risk of household food insecurity in England.

Despite the increasing recognition of household food insecurity as a policy issue, there is currently no routine measurement of food insecurity in the UK. There is nothing to suggest that Government will address this in the near future for all parts of the UK. In which case, policy makers and campaigners might instead seek out consistent and robust measures of the population-level factors which are known to contribute to food insecurity. However, no systematic measures exist, meaning that resources may not be targeted at those areas most in need. This paper presents the first objective estimate of high population-level risk of household food insecurity in English neighbourhoods (4.09% of the population, 95%CI 4.08-4.10) using public data. Estimated geographic distribution of factors contributing to household food insecurity is customisable to local pressures and is adaptable to settings outside of England.

Mid-life psychosocial work environment as a predictor of work exit by age 50.

OBJECTIVES: To examine whether psychosocial work characteristics at age 45 years predict exit from the labour market by the age of 50 years in data from the 1958 British Birth Cohort. METHODS: Psychosocial work characteristics (decision latitude, job demands, job strain and work social support at 45 years and job insecurity at 42 years) measured by questionnaire were linked to employment outcomes (unemployment, retirement, permanent sickness, homemaking) at 50 years in 6510 male and female participants. RESULTS: Low decision latitude (RR = 2.01, 95%CI 1.06,3.79), low work social support (RR = 1.96, 95%CI 1.12,3.44), and high job insecurity (RR = 2.27, 95%CI 1.41, 3.67) predicted unemployment at 50, adjusting for sex, housing tenure, socioeconomic status, marital status, and education. High demands were associated with lower risk of unemployment (RR = 0.50, 95%CI 0.29,0.88) but higher risk of permanent sickness (RR = 2.14, 95%CI 1.09,4.21). CONCLUSIONS: Keeping people in the workforce beyond 50 years may contribute to both personal and national prosperity. Employers may wish to improve working conditions for older workers, in particular, increase control over work, increase support and reduce demands to retain older employees in the workforce.

Physically Active Lessons Improve Lesson Activity and On-Task Behavior: A Cluster-Randomized Controlled Trial of the "Virtual Traveller" Intervention.

BACKGROUND: Physically active lessons have not often been assessed with randomized controlled trials. AIMS: Evaluate the effects of the "Virtual Traveller" (VT) intervention delivered using classroom interactive whiteboards on physical activity, on-task behavior, and student engagement. METHODS: Participants were 219 children aged 8 to 9 years from 10 schools in Greater London, assessed in a cluster-randomized controlled trial between March 2015 and May 2016. For 6 weeks, intervention children received 10-minute VT sessions three times a week during math and English lessons (VT group: n = 113). Children in control schools received regular teaching (COM group: n = 106). Outcomes were school-day, weekend-day, and lesson-time sedentary behavior (SB), light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA), and on-task behavior and student engagement, assessed at baseline (T0), 2 weeks (T1), and 4 weeks (T2) during the VT intervention and 1 week (T3) and 3 months (T4) postintervention using multilevel modeling. RESULTS: VT pupils engaged in significantly more school-day MVPA at T1 only, with no other significant differences between groups in overall school-day or weekend-day activity. VT pupils engaged in significantly less SB and more MVPA during lesson time than COM pupils. More on-task behavior was shown in VT pupils than COM pupils but there was no difference in student engagement. DISCUSSION: VT reduced sedentary behavior and increased physical activity during lesson time but not across overall school or weekend days. VT improved on-task behavior but had no effect on student engagement. CONCLUSION: Physical activity can be integrated into teaching using interactive whiteboards with no detriment to educational outcomes.

Lifecourse transitions, gender and drinking in later life.

Older people consume less alcohol than any other adult age group. However, in recent years survey data on alcohol consumption in the United Kingdom have shown that while younger age groups have experienced a decline in alcohol consumption, drinking behaviours among the elderly have not reduced in the same way. This paper uses data from the English Longitudinal Study of Ageing to analyse both the frequency and quantity of older adult's alcohol consumption using a lifecourse approach over a ten-year period. Overall drinking declined over time and the analysis examined how socio-economic characteristics, partnership, employment and health statuses were associated with differences in drinking behaviours and how these changed over time. Higher wealth and level of education were associated with drinking more and drinking more frequently for men and women. Poorer self-rated health was associated with less frequent consumption and older people with poor and deteriorating health reported a steeper decline in the frequency of alcohol consumption over time. Men who were not in a partnership drank more than other men. For women, loss of a partner was associated with a steeper decline in drinking behaviours. These findings have implications for programmes to promote responsible drinking among older adults as they suggest that, for the most part, characteristics associated with sustaining wellbeing in later life are also linked to consuming more alcohol.

Assessment of Non-Response Bias in Estimates of Alcohol Consumption: Applying the Continuum of Resistance Model in a General Population Survey in England.

BACKGROUND: Previous studies have shown heavier drinkers are less likely to respond to surveys and require extended efforts to recruit. This study applies the continuum of resistance model to explore how survey estimates of alcohol consumption may be affected by non-response bias in three consecutive years of a general population survey in England. METHODS: Using the Health Survey for England (HSE) survey years 2011-13, number of contact attempts (1-6 and 7+) were explored by socio-demographic and drinking characteristics. The odds of drinking more than various thresholds were modelled using logistic regression. Assuming that non-participants were similar to those who were difficult to contact (the continuum of resistance model), the effect of non-response on measures of drinking was investigated. RESULTS: In the fully-adjusted regression model, women who required 7+ calls were significantly more likely to drink more than the UK Government's recommended daily limit (OR 1.19, 95% CI 1.06-1.33, P = 0.003) and to engage in heavy episodic drinking (OR 1.23, 95% CI 1.07-1.42, P = 0.004), however this was not significant in men in the fully-adjusted model. When the continuum of resistance model was applied, there was an increase in average weekly alcohol consumption of 1.8 units among men (a 12.6% relative increase), and an increase of 1.5 units among women (a 20.5% relative increase). There was also an increase in the prevalence of heavy episodic drinking of 2.5% among men (an 12.0% relative increase) and of 2.0% among women (a 15.8% relative increase), although other measures of drinking were less affected. CONCLUSION: Overall alcohol consumption and the prevalence of heavy episodic drinking were higher among HSE participants who required more extended efforts to contact. The continuum of resistance model suggests non-response bias does affect survey estimates of alcohol consumption.

Association between midlife health behaviours and transitions out of employment from midlife to early old age: Whitehall II cohort study.

BACKGROUND: It is important to determine whether unhealthy behaviours might influence transitions out of employment from midlife to old age, given the anticipated need for adults to work for longer. Our aim was to determine the association between repeated assessments of cigarette smoking, heavy/problem alcohol drinking, low physical activity and poor diet at midlife, in relation to work exit from midlife to old age. METHODS: Data from 7704 participants (5392 men) from the Whitehall II cohort study in employment at midlife were used to evaluate the association between unhealthy behaviours and a subsequent transition out of work during 22 years follow-up, using logistic regression models. RESULTS: Men who smoked cigarettes, consistently drank alcohol heavily, or reported problem drinking, were more likely to leave employment over follow-up. Women with a consistently poor diet were more likely to leave employment. Associations were stronger when the reason for leaving was health grounds, and stronger among those with persistently unhealthy behaviours over follow-up. The size of the effects were broadly equivalent to one advancing year of age on employment. Physical health functioning over follow-up only partly accounted for the associations with work exit, whereas physical and mental functioning accounted for most of the associations with work exit on health grounds. CONCLUSIONS: Unhealthy behaviours in midlife are associated with transitions out of employment into old age. Promoting healthy behaviours at midlife might support current policy initiatives aimed at extending working life. Future research should consider possible mechanisms that link behaviours to transitions out of employment, and consider sex differences in larger cohorts.

A synthetic Longitudinal Study dataset for England and Wales.

This article describes the new synthetic England and Wales Longitudinal Study 'spine' dataset designed for teaching and experimentation purposes. In the United Kingdom, there exist three Census-based longitudinal micro-datasets, known collectively as the Longitudinal Studies. The England and Wales Longitudinal Study (LS) is a 1% sample of the population of England and Wales (around 500,000 individuals), linking individual person records from the 1971 to 2011 Censuses. The synthetic data presented contains a similar number of individuals to the original data and accurate longitudinal transitions between 2001 and 2011 for key demographic variables, but unlike the original data, is open access.