Physical health of care-experienced young children in high-income countries: a scoping review.

BACKGROUND: Good health in the early years lays the foundation for lifelong health. Children with experience of extraparental care (eg, foster, kinship, residential) have poorer outcomes than children without such experience. Common health conditions in high-income countries differ from those in low-income and middle-income countries. Health conditions also vary substantially with age. The literature examining physical health conditions affecting young care-experienced children in high-income countries has not been previously reviewed. This review addresses this gap to better understand the health needs of these children. METHODS: In this scoping review, we used a broad range of search terms in MEDLINE, CINAHL, and Web of Science Core Collection databases to identify studies of (1) care-experienced children, (2) physical health outcomes, and (3) children aged 6 years or younger. Intersecting search results were retained for screening. Results were restricted to peer-reviewed journal articles indexed before Sept 1, 2022, with titles in English. Grey literature was excluded. No restriction was placed on study design. Results were narratively synthesised and categorised by health condition. FINDINGS: Searches yielded 15 639 results, and 33 articles were ultimately included, covering 11 countries. Studies were concentrated in the USA (n=18, 55%) and Europe (including UK; n=10, 30%). Most studies investigated a specific health outcome or set of outcomes (n=23, 70%) with many of the remaining studies carrying out broader health reviews (n=8, 24%). Height and weight were the most frequently reported outcomes (n=10, 30%) followed by vision (n=7, 21%) and dental health (n=7, 21%). Nine studies (27%) compared outcomes in care-experienced children with outcomes in non-care-experienced controls. Synthesis of results identified poor physical development, poor dental health, low rates of immunisation, dermatological conditions, and anaemia to be substantial health problems among young children with care experience. INTERPRETATION: Poor physical development and anaemia suggest efforts are required to improve care-experienced children's diet. Dermatological conditions and poor dental health can be managed by additional health-care support to care-experienced children and caregivers. A strength of this work is the standardised methodology. This work is limited by the exclusion of grey literature and restriction to high-income countries. FUNDING: Medical Research Council, Economic and Social Research Council, and Chief Scientist Office (Scotland).

Association between care experience and mental health hospitalisation among children in Scotland, with a focus on chronic conditions (CHiCS): a population-wide longitudinal study using administrative data.

BACKGROUND: Chronic conditions in children are associated with an increased risk of mental health problems. However, not much is known about the nature of this association among care experienced children. We explore the association between three chronic conditions (epilepsy, asthma, and diabetes) and mental health hospitalisation in children with or without care experience. METHODS: The Children's Health in Care in Scotland (CHiCS) is a population-wide longitudinal study that links health and social care data for 13 830 care-experienced children (6274 [45%] female, 7556 [55%] male) and 649 771 general population children (319 438 [49%] female, 330 333 [51%] male). Hospitalisations were followed up from birth between 1990 and 2004, up to July 31, 2016 (when children were aged 12-27 years). We used Cox proportional hazards models with age as timescale to estimate hazard ratios (HR) and 95% CIs for first mental health hospitalisation separately among care-experienced children and general population children. FINDINGS: Among general population children, 3152 (0·49%) children had epilepsy, 94 700 (14·57%) had asthma, and 5501 (0·85%) had diabetes. In comparison, among care-experienced children, 160 (1·16%) children had epilepsy, 2242 (16·21%) had asthma, and 142 (1·03%) had diabetes. Care-experienced children were more likely to have mental health hospitalisations than general population children, with 701 cases (5·1%) versus 5225 cases (0·8%), respectively. Among general population children, out of all three chronic conditions, epilepsy showed the highest risk (HR 2·61, 95% CI 2·20-3·09) for first mental health hospitalisation, followed by diabetes (1·93, 1·62-2·31), and asthma (1·25, 1·16-1·34). Among care-experienced children, asthma showed an HR of 1·43 (1·17-1·74) for first mental health hospitalisation, whereas epilepsy (1·33, 0·70-2·52) and diabetes (1·71, 0·96-3·05) had no association with first mental health hospitalisation in this subgroup. INTERPRETATION: The study highlights the associations between chronic conditions and risk of mental health hospitalisation among children with or without care experience. One limitation of the study is the small number of care experienced children with a chronic condition and mental health hospitalisation, which might have contributed to the lack of association found among care-experienced children between epilepsy and mental health, and diabetes and mental health. Nevertheless, one of its strengths is contributing to the limited knowledge regarding this association. FUNDING: Economic and Social Research Council, Medical Research Council, Scottish Government Chief Scientist Office.

Prevalence of adult smokers in Brazilian capitals according to socioeconomic deprivation.

OBJECTIVE: To estimate the prevalence of adult smokers in the 26 capitals and the Federal District according to the Brazilian Deprivation Index (Índice Brasileiro de Privação - IBP). METHODS: Dataset on smoking were obtained from the Surveillance of Risk and Protective Factors for Noncommunicable Diseases by Survey (Vigitel) system for the 26 capitals and the Federal District, in the period from 2010 to 2013. The IBP classifies the census sectors according to indicators such as: income less than ½ minimum wage, illiterate population and without sanitary sewage. In the North and Northeast regions, the census sectors were grouped into four categories (low, medium, high and very high deprivation) and in the South, Southeast and Midwest regions into three (low, medium and high deprivation). Prevalence estimates of adult smokers were obtained using the indirect estimation method in small areas. To calculate the prevalence ratios, Poisson models are used. RESULTS: The positive association between prevalence and deprivation of census sector categories was found in 16 (59.3%) of the 27 cities. In nine (33.3%) cities, the sectors with the greatest deprivation had a higher prevalence of smokers when compared to those with the least deprivation, and in two (7.4%) there were no differences. In Aracaju, Belém, Fortaleza, João Pessoa, Macapá and Salvador, the prevalence of adult smokers was three times higher in the group of sectors with greater deprivation compared to those with less deprivation. CONCLUSION: Sectors with greater social deprivation had a higher prevalence of smoking, compared with less deprivation, pointing to social inequalities.

Prevalence of adult smokers in Brazilian capitals according to socioeconomic deprivation / Prevalência de fumantes adultos nas capitais brasileiras, segundo privação socioeconômica

ABSTRACT Objective: To estimate the prevalence of adult smokers in the 26 capitals and the Federal District according to the Brazilian Deprivation Index (Índice Brasileiro de Privação - IBP). Methods: Dataset on smoking were obtained from the Surveillance of Risk and Protective Factors for Noncommunicable Diseases by Survey (Vigitel) system for the 26 capitals and the Federal District, in the period from 2010 to 2013. The IBP classifies the census sectors according to indicators such as: income less than ½ minimum wage, illiterate population and without sanitary sewage. In the North and Northeast regions, the census sectors were grouped into four categories (low, medium, high and very high deprivation) and in the South, Southeast and Midwest regions into three (low, medium and high deprivation). Prevalence estimates of adult smokers were obtained using the indirect estimation method in small areas. To calculate the prevalence ratios, Poisson models are used. Results: The positive association between prevalence and deprivation of census sector categories was found in 16 (59.3%) of the 27 cities. In nine (33.3%) cities, the sectors with the greatest deprivation had a higher prevalence of smokers when compared to those with the least deprivation, and in two (7.4%) there were no differences. In Aracaju, Belém, Fortaleza, João Pessoa, Macapá and Salvador, the prevalence of adult smokers was three times higher in the group of sectors with greater deprivation compared to those with less deprivation. Conclusion: Sectors with greater social deprivation had a higher prevalence of smoking, compared with less deprivation, pointing to social inequalities.

RESUMO Objetivo: Estimar as prevalências de adultos fumante nas 26 capitais e no Distrito Federal segundo o Índice Brasileiro de Privação. Métodos: Os dados sobre tabagismo foram obtidos junto ao sistema de Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito (Vigitel) para as 26 capitais e o Distrito Federal, no período de 2010 a 2013. O Índice Brasileiro de Privação classifica os setores censitários segundo indicadores como: renda menor que meio salário mínimo, população não alfabetizada e sem esgotamento sanitário. Nas regiões Norte e Nordeste, os setores censitários foram agrupados em quatro categorias (baixa, média, alta e muito alta privação) e, nas regiões Sul, Sudeste e Centro-Oeste, em três (baixa, média e alta privação). As estimativas de prevalências de adultos fumantes foram obtidas pelo método indireto de estimação em pequenas áreas. Para o cálculo das razões de prevalências, empregram-se modelos de Poisson. Resultados: A associação positiva entre a prevalência e a privação das categorias de setores censitários foi encontrada em 16 (59,3%) das 27 cidades. Em nove (33,3%) cidades, os setores de maior privação apresentaram maior prevalência de fumantes quando comparados aos de menor privação e, em duas (7,4%), não apresentaram diferenças. Em Aracaju, Belém, Fortaleza, João Pessoa, Macapá e Salvador, as prevalências de adultos fumantes foram três vezes maiores no grupo de setores com maior privação em relação aos de menor privação. Conclusão: Setores de maior privação social apresentaram maiores prevalências de tabagismo, comparados com menor privação, apontando desigualdades sociais.

Biases arising from linked administrative data for epidemiological research: a conceptual framework from registration to analyses.

Linked administrative data offer a rich source of information that can be harnessed to describe patterns of disease, understand their causes and evaluate interventions. However, administrative data are primarily collected for operational reasons such as recording vital events for legal purposes, and planning, provision and monitoring of services. The processes involved in generating and linking administrative datasets may generate sources of bias that are often not adequately considered by researchers. We provide a framework describing these biases, drawing on our experiences of using the 100 Million Brazilian Cohort (100MCohort) which contains records of more than 131 million people whose families applied for social assistance between 2001 and 2018. Datasets for epidemiological research were derived by linking the 100MCohort to health-related databases such as the Mortality Information System and the Hospital Information System. Using the framework, we demonstrate how selection and misclassification biases may be introduced in three different stages: registering and recording of people's life events and use of services, linkage across administrative databases, and cleaning and coding of variables from derived datasets. Finally, we suggest eight recommendations which may reduce biases when analysing data from administrative sources.

Impact of Brazil's Bolsa Família Programme on cardiovascular and all-cause mortality: a natural experiment study using the 100 Million Brazilian Cohort.

BACKGROUND: Cardiovascular disease (CVD) has a disproportionate effect on mortality among the poorest people. We assessed the impact on CVD and all-cause mortality of the world's largest conditional cash transfer, Brazil's Bolsa Família Programme (BFP). METHODS: We linked administrative data from the 100 Million Brazilian Cohort with BFP receipt and national mortality data. We followed individuals who applied for BFP between 1 January 2011 and 31 December 2015, until 31 December 2015. We used marginal structural models to estimate the effect of BFP on all-age and premature (30-69 years) CVD and all-cause mortality. We conducted stratified analyses by levels of material deprivation and access to healthcare. We checked the robustness of our findings by restricting the analysis to municipalities with better mortality data and by using alternative statistical methods. RESULTS: We studied 17 981 582 individuals, of whom 4 855 324 were aged 30-69 years. Three-quarters (76.2%) received BFP, with a mean follow-up post-award of 2.6 years. We detected 106 807 deaths by all causes, of which 60 893 were premature; and 23 389 CVD deaths, of which 15 292 were premature. BFP was associated with reductions in premature all-cause mortality [hazard ratio (HR) = 0.96, 95% CI = 0.94-0.98], premature CVD (HR = 0.96, 95% CI = 0.92-1.00) and all-age CVD (HR = 0.96, 95% CI = 0.93-1.00) but not all-age all-cause mortality (HR = 1.00, 95% CI = 0.98-1.02). In stratified and robustness analyses, BFP was consistently associated with mortality reductions for individuals living in the two most deprived quintiles. CONCLUSIONS: BFP appears to have a small to null effect on premature CVD and all-cause mortality in the short term; the long-term impact remains unknown.

Differences in ill health and in socioeconomic inequalities in health by ethnic groups: a cross-sectional study using 2011 Scottish census.

Objectives: We compare rates of ill health and socioeconomic inequalities in health by ethnic groups in Scotland by age. We focus on ethnic differences in socioeconomic inequalities in health. There is little evidence of how socioeconomic inequalities in health vary by ethnicity, especially in Scotland, where health inequalities are high compared to other European countries.Design: A cross-sectional study using the 2011 Scottish Census (population 5.3 million) was conducted. Directly standardized rates were calculated for two self-rated health outcomes (poor general health and limiting long-term illness) separately by ethnicity, age and small-area deprivation. Slope and relative indices of inequality were calculated to measure socioeconomic inequalities in health.Results: The results show that the White Scottish population tend to have worse health and higher socioeconomic inequalities in health than many other ethnic groups, while White Polish and Chinese people tend to have better health and low socioeconomic inequalities in health. These results are more salient for ages 30-44. The Pakistani population has high rates of poor health similar to the White Scottish for ages 15-44, but at ages 45 and above Pakistani people have the highest rates of poor self-rated health. Compared to other ethnicities, Pakistani people are also more likely to experience poor health in the least deprived areas, particularly at ages 45 and above.Conclusions: There are statistically significant and substantial differences in poor self-rated health and in socioeconomic inequalities in health between ethnicities. Rates of ill health vary between ethnic groups at any age. The better health of the younger minority population should not be taken as evidence of better health outcomes in later life. Since socioeconomic gradients in health vary by ethnicity, policy interventions for health improvement in Scotland that focus only on deprived areas may inadvertently exclude minority populations.

Physical health of care-experienced young children in high-income countries: a scoping review protocol.

INTRODUCTION: Care-experienced children have poorer health, developmental, and quality of life outcomes across the lifespan compared to children who are not in care. These inequities begin to manifest in the early years. The purpose of the proposed scoping review is to collate and synthesise studies of the physical health of young care-experienced children. The results of the review will help map the distribution of health outcomes, identify potential targets for intervention, and assess gaps in the literature relating to this group. METHODS AND ANALYSIS: We will carry out a scoping review of the literature to identify studies of physical health outcomes in care-experienced children. Systematic literature searches will be carried out on the MEDLINE, CINAHL and Web of Science Core Collection databases for items indexed on or before 31 August 2022. Studies will be included where the participants are aged 3 months or greater and less than 6 years. Data elements extracted from included studies will include study objectives, health outcomes, participant demographics, care setting characteristics and bibliographic information. The results of the review will be synthesised and reported using a critical narrative approach. Comparisons between care and non-care populations will be reported if sufficient studies are identified. ETHICS AND DISSEMINATION: Data will be extracted from publicly available sources, so no additional ethical approval is required. Results will be published in a peer-reviewed journal article. Furthermore, they will be shared in summary reports and presented to local authorities, care organisations and other relevant stakeholders that can influence healthcare policy and procedure relating to young children in care.

Cohort profile: The 'Children's Health in Care in Scotland' (CHiCS) study-a longitudinal dataset to compare health outcomes for care experienced children and general population children.

PURPOSE: The Children's Health in Care in Scotland Cohorts were set up to provide first population-wide evidence on the health outcomes of care experienced children (CEC) compared with children in the general population (CGP). To date, there are no data on how objective health outcomes, mortality and pregnancies for CEC are different from CGP in Scotland. PARTICIPANTS: The CEC cohort includes school-aged children who were on the 2009/2010 Scottish Government's Children Looked After Statistics (CLAS) return and on the 2009 Pupil Census (PC). The children in the general population cohort includes those who were on the 2009 PC and not on any of the CLAS returns between 1 April 2007 and 31 July 2016. FINDINGS TO DATE: Data on a variety of health outcomes, including mortality, prescriptions, hospitalisations, pregnancies, and Accident & Emergency attendances, were obtained for the period 1 August 2009 to 31 July 2016 for both cohorts. Data on socioeconomic status (SES) for both cohorts were available from the Birth Registrations and a small area deprivation measure was available from the PC. CEC have, on average, lower SES at birth and live in areas of higher deprivation compared with CGP. A higher proportion of CEC have recorded events across all health data sets, and they experienced higher average rates of mortality, prescriptions and hospitalisations during the study period. The reasons for contacting health services vary between cohorts. FUTURE PLANS: Age-standardised rates for the two cohorts by sex and area deprivation will be calculated to provide evidence on population-wide prevalence of main causes of death, reasons for hospitalisation and types of prescription. Event history analysis will be used on matched cohorts to investigate the impact of placement histories and socioeconomic factors on health.

Deaths of despair: cause-specific mortality and socioeconomic inequalities in cause-specific mortality among young men in Scotland.

BACKGROUND: Increasing mortality among men from drugs, alcohol and suicides is a growing public health concern in many countries. Collectively known as "deaths of despair", they are seen to stem from unprecedented economic pressures and a breakdown in social support structures. METHODS: We use high-quality population wide Scottish data to calculate directly age-standardized mortality rates for men aged 15-44 between 1980 and 2018 for 15 leading causes of mortality. Absolute and relative inequalities in mortality by cause are calculated using small-area deprivation and the slope and relative indices of inequality (SII and RIIL) for the years 2001-2018. RESULTS: Since 1980 there have been only small reductions in mortality among men aged 15-44 in Scotland. In that period drug-related deaths have increased from 1.2 (95% CI 0.7-1.4) to 44.9 (95% CI 42.5-47.4) deaths per 100,000 and are now the leading cause of mortality. Between 2001 and 2018 there have been small reductions in absolute but not in relative inequalities in all-cause mortality. However, absolute inequalities in mortality from drugs have doubled from SII = 66.6 (95% CI 61.5-70.9) in 2001-2003 to SII = 120.0 (95% CI 113.3-126.8) in 2016-2018. Drugs are the main contributor to inequalities in mortality, and together with alcohol harm and suicides make up 65% of absolute inequalities in mortality. CONCLUSIONS: Contrary to the substantial reductions in mortality across all ages in the past decades, deaths among young men are increasing from preventable causes. Attempts to reduce external causes of mortality have focused on a single cause of death and not been effective in reducing mortality or inequalities in mortality from external causes in the long-run. To reduce deaths of despair, action should be taken to address social determinants of health and reduce socioeconomic inequalities.

Evaluating the impact of the Bolsa Familia conditional cash transfer program on premature cardiovascular and all-cause mortality using the 100 million Brazilian cohort: a natural experiment study protocol.

INTRODUCTION: Brazil's Bolsa Familia Program (BFP) is the world's largest conditional cash transfer scheme. We shall use a large cohort of applicants for different social programmes to evaluate the effect of BFP receipt on premature all-cause and cardiovascular mortality. METHODS AND ANALYSIS: We will identify BFP recipients and non-recipients among new applicants from 2004 to 2015 in the 100 Million Brazilian Cohort, a database of 114 million individuals containing sociodemographic and mortality information of applicants to any Brazilian social programme. For individuals applying from 2011, when we have better recorded income data, we shall compare premature (age 30-69) cardiovascular and all-cause mortality among BFP recipients and non-recipients using regression discontinuity design (RDD) with household monthly per capita income as the forcing variable. Effects will be estimated using survival models accounting for individuals follow-up. To test the sensitivity of our findings, we will estimate models with different bandwidths, include potential confounders as covariates in the survival models, and restrict our data to locations with the most reliable data. In addition, we will estimate the effect of BFP on studied outcomes using propensity score risk-set matching, separately for individuals that applied ≤2010 and >2011, allowing comparability with RDD. Analyses will be stratified by geographical region, gender, race/ethnicity and socioeconomic position. We will investigate differential impacts of BFP and the presence of effect modification for a combination of characteristics, including gender and race/ethnicity. ETHICS AND DISSEMINATION: The study was approved by the ethics committees of Oswaldo Cruz Foundation and the University of Glasgow College of Medicine and Veterinary Life Sciences. The deidentified dataset will be provided to researchers, and data analysis will be performed in a safe computational environment without internet access. Study findings will be published in high quality peer-reviewed research articles. The published results will be disseminated in the social media and to policy-makers.

All-cause and cause-specific mortality in Scotland 1981-2011 by age, sex and deprivation: a population-based study.

BACKGROUND: Average life expectancy has stopped increasing for many countries. This has been attributed to causes such as influenza, austerity policies and deaths of despair (drugs, alcohol and suicide). Less is known on the inequality of life expectancy over time using reliable, whole population, data. This work examines all-cause and cause-specific mortality rates in Scotland to assess the patterning of relative and absolute inequalities across three decades. METHODS: Using routinely collected Scottish mortality and population records we calculate directly age-standardized mortality rates by age group, sex and deprivation fifths for all-cause and cause-specific deaths around each census 1981-2011. RESULTS: All-cause mortality rates in the most deprived areas in 2011 (472 per 100 000 population) remained higher than in the least deprived in 1981 (422 per 100 000 population). For those aged 0-64, deaths from circulatory causes more than halved between 1981 and 2011 and cancer mortality decreased by a third (with greater relative declines in the least deprived areas). Over the same period, alcohol- and drug-related causes and male suicide increased (with greater absolute and relative increases in more deprived areas). There was also a significant increase in deaths from dementia and Alzheimer's disease for those aged 75+. CONCLUSIONS: Despite reductions in mortality, relative (but not absolute) inequalities widened between 1981 and 2011 for all-cause mortality and for several causes of death. Reducing relative inequalities in Scotland requires faster mortality declines in deprived areas while countering increases in mortality from causes such as drug- and alcohol-related harm and male suicide.

Area deprivation measures used in Brazil: a scoping review.

OBJECTIVE: To describe and assess currently used area-based measures of deprivation in Brazil for health research, to the purpose of informing the development of a future small area deprivation index. METHODS: We searched five electronic databases and seven websites of Brazilian research institutions and governmental agencies. Inclusion criteria were: studies proposing measures of deprivation for small areas (i.e., finer geography than country-level) in Brazil, published in English, Portuguese or Spanish. After data-extraction, results were tabulated according to the area level the deprivation measure was created for and to the dimensions of deprivation or poverty included in the measures. A narrative synthesis approach was used to summarize the measures available, highlighting their utility for public health research. RESULTS: A total of 7,199 records were retrieved, 126 full-text articles were assessed after inclusion criteria and a final list of 30 articles was selected. No small-area deprivation measures that have been applied to the whole of Brazil were found. Existing measures were mainly used to study infectious and parasitic diseases. Few studies used the measures to assess inequalities in mortality and no studies used the deprivation measure to evaluate the impact of social programs. CONCLUSIONS: No up-to-date small area-based deprivation measure in Brazil covers the whole country. There is a need to develop such an index for Brazil to measure and monitor inequalities in health and mortality, particularly to assess progress in Brazil against the Sustainable Development Goal targets for different health outcomes, showing progress by socioeconomic groups.

Area deprivation measures used in Brazil: a scoping review

ABSTRACT OBJECTIVE To describe and assess currently used area-based measures of deprivation in Brazil for health research, to the purpose of informing the development of a future small area deprivation index. METHODS We searched five electronic databases and seven websites of Brazilian research institutions and governmental agencies. Inclusion criteria were: studies proposing measures of deprivation for small areas (i.e., finer geography than country-level) in Brazil, published in English, Portuguese or Spanish. After data-extraction, results were tabulated according to the area level the deprivation measure was created for and to the dimensions of deprivation or poverty included in the measures. A narrative synthesis approach was used to summarize the measures available, highlighting their utility for public health research. RESULTS A total of 7,199 records were retrieved, 126 full-text articles were assessed after inclusion criteria and a final list of 30 articles was selected. No small-area deprivation measures that have been applied to the whole of Brazil were found. Existing measures were mainly used to study infectious and parasitic diseases. Few studies used the measures to assess inequalities in mortality and no studies used the deprivation measure to evaluate the impact of social programs. CONCLUSIONS No up-to-date small area-based deprivation measure in Brazil covers the whole country. There is a need to develop such an index for Brazil to measure and monitor inequalities in health and mortality, particularly to assess progress in Brazil against the Sustainable Development Goal targets for different health outcomes, showing progress by socioeconomic groups.

Small-area deprivation measure datasets for Scotland, 2001 and 2011.

These data present a new small-area deprivation measure, but also include a variety of other indicators, such as the Scottish Index of Multiple Deprivation (SIMD) and the Carstairs score. The data are for Scottish 2001 Datazones and for the years 2001 and 2011. In addition the data provide standardised self-reported measures of general health and limiting long-term illness. The theoretical background for developing the new deprivation measure, and the implications of using different measures to study health inequalities are discussed in "Developing a new small-area measure of deprivation using 2001 and 2011 census data from Scotland" (Allik et al., 2016) [1].

Developing a new small-area measure of deprivation using 2001 and 2011 census data from Scotland.

Material deprivation contributes to inequalities in health; areas of high deprivation have higher rates of ill-health. How deprivation is measured has a great impact on its explanatory power with respect to health. We compare previous deprivation measures used in Scotland and proposes a new deprivation measure using the 2001 and 2011 Scottish census data. We calculate the relative index of inequality (RII) for self-reported health and mortality. While across all age groups different deprivation measures provide similar results, the assessment of health inequalities among those aged 20-29 differs markedly according to the deprivation measure. In 2011 the RII for long-term health problem for men aged 20-24 was only 0.71 (95% CI 0.60-0.83) using the Carstairs score, but 1.10 (0.99-1.21) for the new score and 1.13 (1.03-1.24) for the income domain of Scottish Index of Multiple Deprivation (SIMD). The RII for mortality in that age group was 1.25 (0.89-1.58) for the Carstairs score, 1.69 (1.35-2.02) for the new measure and 1.76 (1.43-2.08) for SIMD. The results suggest that researchers and policy makers should consider the suitability of deprivation measures for different social groups.