Background {#Sec1}
==========

Asthma is now one of the most common long-term disorders in the world, with global estimates indicating that at least 300 million people have asthma \[[@CR1]\]. The landmark International Study of Asthma and Allergies in Childhood (ISAAC) and the European Community Respiratory Health Survey (ECRHS) studies demonstrated substantial national variations in asthma prevalence, with evidence suggesting that the UK ranks as one of the highest prevalence countries in the world \[[@CR2], [@CR3]\]. The recent UK National Review of Asthma Deaths has found persistent problems with poor asthma care and substantial, potentially preventable morbidity and mortality \[[@CR4]\]. Investigations conducted within the UK suggest that Scotland has a particularly high morbidity from asthma, for reasons that remain poorly understood \[[@CR5]\].

There are, as yet, only a limited number of within-country investigations of ethnic differences in asthma. The majority of this literature comes from the US and this has shown that African-Americans are at increased risk of exacerbations, hospital attendances, near death episodes, and mortality \[[@CR6]--[@CR9]\]. This has led to recent substantial investments (\$23 m) to reduce asthma disparities through the Patient-Centered Outcomes Research Institute \[[@CR10]\]. A previous systematic review and meta-analysis investigating ethnic variations in asthma outcomes in the UK found that South Asians (odds ratio (OR) = 2.9; 95 % CI, 2.4--3.4) and Blacks (OR = 2.1; 95 % CI, 1.8--2.5) were at substantially increased risk of hospital admission from asthma when compared to White European-origin populations \[[@CR11]\]. This synthesis was, however, of only a limited number (n = 13) of now dated studies (undertaken in the 1980--90s), and the summary estimates were therefore only available for three broad ethnic groups, namely: Whites, Blacks and South Asians. The opportunities for exploring heterogeneity within these three groups or indeed investigating differences between males and females in these populations were therefore limited \[[@CR12]\].

There is a need for a more contemporaneous, comprehensive investigation into within-country ethnic variations in asthma and asthma outcomes. We report on the first national cohort study to investigate the hypothesis that there are substantial ethnic variations in hospitalisations and deaths from asthma in the Scottish population.

Methods {#Sec2}
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Ethics and permissions {#Sec3}
----------------------

We obtained ethical approval from the Scotland A Research Ethics Committee. We also obtained approvals from Scotland's Privacy Advisory Committee and the Community Health Index Advisory Group, which are charged with considering the appropriate use of potentially identifiable patient data. Access to data, analyses and release of outputs followed a pre-specified protocol, which included rounding of all count numbers to the nearest five to ensure confidentiality and to prevent disclosure of any potentially identifying data. This included suppression of data if there was any risk that individual patients may be identifiable (n \<6). All outputs were reviewed by a National Records of Scotland data disclosure committee.

Overview of methods and data linkage {#Sec4}
------------------------------------

The methods of the Scottish Health and Ethnicity Linkage Study (SHELS) have previously been described in detail and we therefore confine ourselves here to providing a brief overview of the procedures used \[[@CR13]\]. In summary, we linked National Health Service (NHS) Scotland's hospital discharge and death records (SMR01) to the 2001 census using probabilistic linkage methods creating a unique link between the encrypted Community Health Index and census number, thereby creating a national retrospective cohort. An overview of the linkage techniques is shown in Fig. [1](#Fig1){ref-type="fig"}. All personal identifiers were then removed from the linked dataset.Fig. 1Overview of record linkage process (Community Health Index and census numbers were encrypted)

Ethnicity data {#Sec5}
--------------

Ethnic categories were derived from the 14 groups in the 2001 Scottish Census (Box 1) and reported following the principles of the census (including capitalisation of ethnic group labels) \[[@CR14]\]; when discussing the work of others, however, we used the labels assigned by authors in their publications. Given small populations, we combined Bangladeshis with Other South Asians and the Caribbean, African and Black Scottish or Other Black as an African origin group, thus giving rise to the nine categories of ethnicity that were studied and reported on.

Asthma outcomes {#Sec6}
---------------

We had three outcomes of interest: (1) first hospitalisation or death from asthma following inception of the cohort in May 2001, which was our primary outcome and is henceforth referred to as 'first asthma events' (group 1); (2) asthma readmission among survivors of group 1; and (3) asthma death among survivors of group 1. We identified hospitalisations and deaths for asthma during the period May 2001--April 2010 using relevant International Classification of Disease codes (i.e. ICD-9: 493 and 493.9, and ICD-10: J45 and J46). To take account of the chronic nature of asthma, we did not exclude those with admissions before May 2001 \[[@CR15]\]. Our 'first asthma events' were therefore initial episodes within the cohort study, which may or may not correspond with the first ever episodes of hospitalisation.

Demographic and socioeconomic factors {#Sec7}
-------------------------------------

Census data included age, sex, Scottish Index of Multiple Deprivation (SIMD), and country of birth (CoB). SIMD is an area-based socioeconomic measure that uses 38 indicators across nine domains including health to rank areas based on full postcode \[[@CR16]\]. The SIMD is known to be associated with health outcomes whether it includes, or excludes, the health domains.

Analysis {#Sec8}
--------

Our detailed analysis plan specified that, because of concerns around small numbers and the associated risk of disclosure, analysis of hospitalisation and death would only be separately undertaken if deaths were at least 20 % of the total numbers. We also pre-specified that if this was not the case, the first of either of these two events would be included, thereby ensuring that we included community deaths.

Using Poisson regression models with robust variance we calculated age-adjusted rates of first asthma events (i.e. outcome (1) specified above) per 100,000 person years and incidence rate ratios (IRR) with 95 % confidence intervals (CI) by sex, this being undertaken because of the known sex variations in asthma epidemiology and outcomes. The person-years-at-risk denominators were calculated after censoring for deaths, asthma-related hospitalisations and transfers of patients out of NHS Scotland (i.e. to other parts of the UK), as appropriate.

The age-adjusted sex-stratified analysis was the primary analysis. We then examined the effect of adjustment by socioeconomic variables and CoB separately and in combination. We explored the association between eight measures of socioeconomic status (i.e. individual educational level, household educational level, individual National Statistics Socioeconomic Classification, household National Statistics Socioeconomic Classification, SIMD quintile, car ownership, household tenure, and economic activity) and health outcomes following our published approach, and we selected SIMD (quintiles), which was available for everyone; in contrast, other relevant variables were not collected for younger and older age groups \[[@CR17]\]. Our analysis used the quintile of socioeconomic deprivation. We adjusted for birth within or outside the UK to explore whether this altered IRRs (there were not enough events for stratified analysis by CoB and ethnicity).

We undertook survival analysis and calculated hazard ratios (HRs) for death or readmission with asthma following hospitalisation (outcomes (2) and (3) as specified above, censoring for death) using Cox proportional hazard models, checking the proportional hazards assumption with the graphical method using log-log (ln{-ln(survival)}) plots. Analysis was undertaken using SAS v9.3 (SAS Institute Inc., Cary, North Carolina, USA).

Results {#Sec9}
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Overview of the cohort {#Sec10}
----------------------

Scotland had an enumerated population of 4.9 million on census day (29 April 2001); 52 % of the population was female and 89 % was White Scottish (Table [1](#Tab1){ref-type="table"}). We were able to link data on 4.62 million individuals (94.9 % of the eligible population), yielding 38,216,530 patient-years of data over the 9-year study period (Fig. [2](#Fig2){ref-type="fig"}). We successfully linked data on at least 85 % of people from each ethnic group of interest (Tables [1](#Tab1){ref-type="table"} and [2](#Tab2){ref-type="table"}).Table 1Baseline characteristics of study populationCensusFirst asthma admissions and deathsMaleFemale% Female in each groupFirst asthma admissions incidence from 2001n%n%n%n%%n%White Scottish4,088,12588.6102,28589.941,95589.860,33089.959.0 %86,93089.9Other White British334,9857.37,5556.63,0056.44,5506.860.2 %6,5156.7White Irish43,5050.99850.93900.85900.960.2 %8250.9Other White65,6551.41,0300.94100.96200.960.2 %8950.9Any mixed background11,1100.22650.21150.21500.256.6 %2200.2Indian12,3350.33050.31600.31500.248.4 %2250.2Pakistani25,6300.68400.74150.94200.650.3 %6550.7Other South Asian6,5100.11550.1800.2750.148.4 %1350.1African origin6,3350.11200.1500.1700.158.3 %1050.1Chinese13,2050.31450.1750.2700.148.3 %1200.1All other ethnic groups7,7150.21050.1500.1550.152.4 %900.1Total4,615,105113,79046,71067,08059.0 %96,710Fig. 2Study flow diagramTable 2Further baseline characteristics of study populationAge groupsAge, yearsCountry of birthSIMD quintilesn\<2020 to \<4040 to \<6060+MeanUK bornOutside UK12345White Scottish102,28523.7 %21.6 %26.9 %27.8 %41.799.1 %0.9 %26.2 %23.6 %20.5 %16.7 %13.0 %Other White British7,55511.2 %21.0 %34.0 %33.9 %48.895.8 %4.2 %12.0 %16.3 %26.8 %25.7 %19.1 %White Irish9857.1 %17.3 %32.5 %43.1 %53.699.0 %1.0 %27.9 %24.9 %19.8 %14.2 %13.2 %Other White1,03018.9 %22.8 %27.7 %30.6 %44.336.4 %63.6 %16.6 %21.5 %22.0 %19.5 %20.5 %Any mixed background26554.7 %17.0 %17.0 %11.3 %25.683.0 %17.0 %27.8 %18.5 %16.7 %18.5 %18.5 %Indian30527.9 %26.2 %24.6 %21.3 %36.951.6 %48.4 %13.1 %21.3 %11.5 %18.0 %36.1 %Pakistani84033.5 %21.6 %28.1 %16.8 %33.646.4 %53.6 %17.4 %28.7 %13.8 %17.4 %22.8 %Other South Asian15532.3 %19.4 %32.3 %16.1 %34.851.6 %48.4 %22.6 %22.6 %12.9 %19.4 %22.6 %African origin12041.7 %25.0 %25.0 %8.3 %30.962.5 %37.5 %29.2 %20.8 %16.7 %20.8 %12.5 %Chinese14548.3 %17.2 %20.7 %13.8 %29.555.2 %44.8 %20.7 %13.8 %10.3 %20.7 %34.5 %All Other Ethnic group10533.3 %28.6 %28.6 %9.5 %33.833.3 %66.7 %19.0 %19.0 %19.0 %14.3 %28.6 %Total113,79022.9 %21.5 %27.4 %28.2 %42.197.6 %2.4 %25.1 %23.1 %20.8 %17.3 %13.7 %

First asthma events {#Sec11}
-------------------

There was a total of 113,790 first asthma admissions (n = 67,080; 59 % in females) and 505 deaths with asthma diagnosis and no prior hospital admission for asthma (59 % in females). There were substantial ethnic variations in first asthma events in both males and females (Fig. [3](#Fig3){ref-type="fig"}). Age-adjusted incidence rates for a first asthma event in the total population were 256.6 (95 % CI, 208.1--316.3) per 100,000 person years in males and 338.1 (288.7--395.9) in females.Fig. 3Summary data for ethnic variations in incidence rate ratios of first asthma events and hazard ratios of readmissions

When compared to the White Scottish reference population, the highest age-adjusted rates were in Pakistani males (IRR = 1.59; 95 % CI, 1.30--1.94) and females (IRR = 1.50; 95 % CI, 1.06--2.11) and Indian males (IRR = 1.34; 95 % CI, 1.16--1.54), and the lowest were seen in Chinese males (IRR = 0.62; 95 % CI, 0.41--0.94) and females (IRR = 0.49; 95 % CI, 0.39--0.61) followed by 'Other White' males (IRR = 0.77; 95 % CI, 0.64--0.92) and females (IRR = 0.81; 95 % CI, 0.70--0.93). Further adjustment for SIMD and CoB did not substantially modify the observed patterns (Table [3](#Tab3){ref-type="table"}).Table 3Incidence rates, incidence rate ratios (IRRs), and hazard ratio estimates per 100,000 population per year (PY) for first asthma hospital admission or death. IRRs are age adjusted and rate ratios are subsequently Scottish Index for Multiple Deprivation (SIMD) and country of birth (COB) adjusted, with 95 % confidence intervals (CIs), by ethnic group, for the population in ScotlandEthnic groupFirst asthma event^a^PY at risk^b^Age adjusted incidence rates (per 100,000 PY) and 95 % CIs^c^Age-adjusted IRRs^d^Age- and SIMD-adjusted IRR^d^Age- and CoB-adjusted IRR^d^Age-, SIMD- and CoB-adjusted IRR^d^IRR and 95 % CIIRR and 95 % CIIRR and 95 % CIIRR and 95 % CIMales White Scottish41,95516,325,930257.01.00 (. .)1.00 (. .)1.00 (. .)1.00 (. .) Other White British3,0051,244,330249.7 (227.7--276.9)0.97 (0.88--1.07)1.02 (0.94--1.11)0.92 (0.83--1.01)0.97 (0.89--1.069) White Irish390160,090250.2 (217.4--287.8)0.97 (0.85--1.12)0.93 (0.84--1.04)0.91 (0.79--1.06)0.88 (0.79--0.99) Other White410223,900196.5 (164.8--238.4)0.78 (0.64--0.92)0.79 (0.69--0.90)0.80 (0.67--0.96)0.82 (0.72--0.93) Any mixed background11542,835273.2 (235.0--320.4)1.06 (0.91--1.24)1.05 (0.86--1.28)1.03 (0.89--1.19)1.02 (0.83--1.26) Indian16050,445344.5 (300.3--397.8)1.34 (1.16--1.54)1.43 (1.22--1.67)1.37 (1.12--1.66)1.45 (1.22--1.72) Pakistani420109,375408.1 (336.3--501.8)1.59 (1.30--1.94)1.56 (1.37--1.78)1.59 (1.29--1.95)1.56 (1.37--1.78) Other South Asian8027,265327.3 (244.6--441.3)1.27 (0.94--1.71)1.25 (0.99--1.57)1.31 (1.02--1.71)1.28 (1.01--1.62) African Origin5025,020225.3 (178.4--286.6)0.88 (0.69--1.11)0.83 (0.64--1.01)0.90 (0.67--1.22)0.85 (0.65--1.11) Chinese7552,825159.1 (105.6--241.5)0.62 (0.41--0.94)0.65 (050--0.84)0.64 (0.44--0.94)0.67 (0.52--0.86) All Other Ethnic Group5025,650223.5 (162.1--310.6)0.87 (0.63--1.20)0.86 (0.66--1.13)0.93 (0.63--1.36)0.91 (0.68--1.22) Ethnic groupFirst asthma event^a^PY at risk^b^Age-adjusted incidence rates (for 100,000 PY)^c^Age-adjusted IRR^d^Age- and SIMD-adjusted IRR^d^Age- and CoB-adjusted IRR^d^Age-, SIMD- and CoB-adjusted IRR^d^IRR and 95 % CIIRR and 95 % CIIRR and 95 % CIIRR and 95 % CIFemales White Scottish60,33017,830,550338.31.00 (. .)1.00 (. .)1.00 (. .)1.00 (. .) Other White British4,5501,334,530365.4 (339.3--397.6)1.08 (1.00--1.17)1.14 (1.06--1.23)1.08 (1.00--1.18)1.16 (1.08--1.25) White Irish590178,670335.9 (295.7--387.0)0.99 (0.87--1.14)0.94 (0.84--1.05)1.00 (0.86--1.15)0.96 (0.85--1.08) Other White620259,410271.6 (237.3--315.5)0.80 (0.70--0.93)0.84 (0.74--0.95)0.80 (0.68--0.95)0.83 (0.73--0.93) Any mixed background15046,190424.1 (369.5--489.7)1.25 (1.09--1.44)1.22 (1.06--1.42)1.25 (1.09--1.45)1.23 (1.07--1.42) Indian15045,810398.1 (311.2--512.3)1.18 (0.92--1.51)1.26 (1.04--1.53)1.18 (0.92--1.51)1.26 (1.04--1.53) Pakistani420107,485506.1 (361.1--718.0)1.50 (1.06--2.11)1.45 (1.19--1.78)1.50 (1.09--2.06)1.45 (1.21--1.75) Other South Asian7522,205418.9 (318.9--553.6)1.24 (0.94--1.63)1.22 (0.98--1.51)1.24 (0.94. 1.62)1.21 (0.98--1.49) African Origin7022,215390.4 (309.7--495.0)1.15 (0.91--1.46)1.08 (0.86--1.37)1.15 (0.89--1.50)1.08 (0.85--1.36) Chinese7052,660165.3 (132.5--207.5)0.49 (0.39--0.61)0.52 (0.42--0.64)0.49 (0.38--0.62)0.51 (0.41--0.63) All Other Ethnic Group5529,145230.6 (170.4--314.1)0.68 (0.50--0.93)0.69 (0.54--0.89)0.68 (0.49--0.94)0.68 (0.53--0.88)^a^First event within the period 1st May 2001 to 30th April 2010, with no look back previous to this period^b^Over 9-year period between 1st May 2001 and 30th April 2010^c^Poisson rates are derived with age adjustment using the true White Scottish rate^d^Incidence rate ratios are calculated using Poisson regression models with robust variance. The White Scottish population at the 2001 census is the reference population

Asthma readmissions among survivors of a first asthma event {#Sec12}
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There were 107,710 readmissions in the cohort; 40,075 of these readmissions were for asthma (37 % of all readmissions for asthma), with the majority of these occurring in females (n = 24,660; 61.5 %). Increased rates of readmission were seen in Any Mixed Background males (HR = 1.37; 95 % CI, 1.02--1.83) and African Origin females (HR = 1.56, 95 % CI, 1.11--2.20). Other than this, no clear patterns were apparent, this possibly reflecting the relatively small number of readmissions within most of the minority ethnic groups and the associated imprecision of the HR estimates obtained (Table [4](#Tab4){ref-type="table"}).Table 4Hazard ratios (HRs) adjusted for age, relative to White Scottish of hospital readmission for asthma following a first hospital admission of asthma during the study period (i.e. 1/5/2001--31/4/2010) in men and womenMalesFemalesEthnic groupNumber of readmissionsOverall readmissionNumber of readmissionsOverall readmissionHR and 95 % CIHR and 95 % CIWhite Scottish13,7951.00 (. .)22,1151.00 (. .)Other White British1,0401.00 (0.93--1.07)1,7401.03 (0.98--1.08)White Irish1300.91 (0.76--1.08)2250.97 (0.84--1.16)Other White1400.99 (0.83--1.18)2000.86 (0.74--0.99)Any mixed background451.37 (1.02--1.83)500.97 (0.73--1.13)Indian450.79 (0.59--1.07)500.79 (0.60--1.06)Pakistani1451.00 (0.84--1.18)1701.07 (0.91--1.25)Other South Asian200.75 (0.49--1.17)301.20 (0.84--1.71)African Origin100.68 (0.36--1.26)351.56 (1.11--2.20)Chinese251.27 (0.87--1.85)200.76 (0.49--1.16)All Other Ethnic Group150.93 (0.56--1.55)200.99 (0.62--1.57)

Asthma deaths among survivors of a first asthma event {#Sec13}
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In total, there were 1,340 asthma deaths recorded in those who survived the first asthma event. As death was an infrequent occurrence (0.4 % of first asthma events) data on survival were suppressed for most ethnic groups because of the possible risk of disclosure. The available data on Other White British males (HR = 0.69; 95 % CI, 0.45--1.06) and Other White British (HR = 0.93; 95 % CI, 0.70--1.23), White Irish (HR = 1.08; 95 % CI, 0.58--2.01) and Other White (HR = 1.27; 95 % CI, 0.63--2.55) females was imprecisely estimated.

Discussion {#Sec14}
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Statement of principal findings {#Sec15}
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This national investigation into risk of poor asthma outcomes has found substantial ethnic variations in the rates of hospital admission and death between ethnic groups in Scotland. When compared to the reference White Scottish population, people of South Asian descent (i.e. Pakistani, Indian and Other South Asians) had 20--50 % increased rates of hospitalisation from asthma, whereas people of Chinese origin had 30--40 % lower rates. Comparing the Chinese with the Pakistani populations revealed a striking 2--3-fold variation in rates of admission. However, despite accruing over 38 million person-years of data during the 9-year study period, we obtained only imprecise estimates of the rates of death and readmission in survivors, this reflecting the relative infrequency of these outcomes in many of the populations studied.

Strengths and limitations {#Sec16}
-------------------------

This is, as far as we are aware, the first national investigation into within-country ethnic variations in asthma outcomes and it has provided some of the first estimates of asthma outcomes in a number of sub-sections of the UK population (e.g. White Irish and Chinese) \[[@CR11]\]. Additional key strengths of this work include the substantial number of patient-years of data available, which offered the possibility to study a large number of hospitalisations for asthma -- the main focus of our study. Through linking to the 2001 Census we were able to simultaneously adjust for age, CoB and socioeconomic status \[[@CR18]\]. The decision to stratify reporting by sex was important given the marked overall increased rate of admission, readmission and mortality in females. Furthermore, in keeping with best practice, our analysis strategy was written and agreed prior to data analysis.

Nonetheless, we acknowledge limitations, including the fact that we were not able to link data on the entire Scottish population, differential rates in linkage between ethnic groups which may have introduced bias, the fact that we were not fully able to take into account emigration from Scotland, that event numbers in some non-White ethnic groups were small (particularly limiting for survival analysis), and that, because analysis of data on small groups potentially risked disclosing identity, we were not able to report on mortality data for the majority of the groups studied. Missing data may also have introduced the possibility of bias. It is impossible to know how much missing data there was overall, but we believe that this is likely to be small. This missing data could have arisen for three possible reasons: (1) those who did not participate in the census (estimated \<5 %); (2) those for whom it was not possible to link census and hospitalisation and mortality data (estimated \<5 % at date of census, and increases with length of time from the census due to immigration and births); and (3) those admitted into private hospitals that did not then convey this information to the Information Services Division of NHS National Services Scotland (\<1 %). We attempted to censor those who migrated, but it was not possible to identify the likely small proportion of people who were not registered with NHS Scotland who emigrated or those who were registered with NHS Scotland but who emigrated outside of the UK. Finally, we were only able to adjust for a limited number of potential confounders in the relationship between ethnicity and asthma outcome and, as discussed below, future work needs to consider the impact of wider organisational, care-related and behavioural factors which may help to explain these variations.

Interpreting the findings in the context of the wider literature and implications for future research {#Sec17}
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These findings confirm the poor outcomes previously noted for UK South Asians, but were not as marked, possibly reflecting the relatively high rate of hospitalisation in the reference Scottish White population and/or the reduced risk of bias resulting from the fact that we were able to study the entire population \[[@CR11]\]. These data also reveal that not all ethnic minority groups experience poor outcomes when compared with the reference population. In particular, the rate of asthma admission in Chinese-origin males and females were markedly lower than that seen in the White Scottish population. Given that good outcomes in the Scottish Chinese population have also been noted for a range of other long-term conditions such as heart failure \[[@CR19]\], there is a need to investigate whether this is due to Chinese populations having comparatively better health, lower use of health services, or a combination of both of these factors.

There is now a need to understand the reasons underpinning these striking variations in outcomes. Possibilities include biological differences in disease severity, the impact of migration (although we did not find any effect of adjusting for CoB) \[[@CR18]\], and the greater prevalence of atopy noted in South Asian children in the UK \[[@CR20]\]. Another potentially important explanatory consideration is differences in over-crowding with the associated risk of admissions triggered by viral upper respiratory tract infections. Differences in health professional management including access to and quality of primary care (such as vaccination rates, prescribing and use of supported self-management plans) \[[@CR21]\] and cultural factors, including differences in personal beliefs, self-management (in particular, concordance with preventive therapies) and health-seeking behaviour, may also be important contributory factors \[[@CR22]\]. US data have, for example, shown marked variations in the quality of ambulatory and emergency department asthma care, but comparable hospital-based care \[[@CR23]\]. There is also a need to consider the possibility of systematic biases through investigating the impact of differential rates of linkage and emigration between ethnic groups \[[@CR24]\].

Data on a number of potential explanatory variables are available in general practitioner records, and our plan is therefore to link the SHELS cohort with primary care data across Scotland. We have undertaken a feasibility pilot (data being prepared for publication) and other primary care data extractions \[[@CR25]\], which shows that this is technically possible and that relevant data on, for example, smoking, vaccination and prescribing patterns can be obtained for future studies. A key priority for future work will be to investigate to what extent these variations in outcome can be explained by differences in lifestyle factors, health-seeking behaviours and/or the quality of primary care \[[@CR21], [@CR22], [@CR26], [@CR27]\]. Future work should also explore the possibility of interactions between ethnicity and socioeconomic status.

Conclusions {#Sec18}
===========

This study has provided compelling evidence of important national variations in rates of asthma hospital admissions/deaths across ethnic groups in Scotland. It seems likely that the majority of these variations are amenable to lifestyle and/or medical intervention in primary care, and a key near-term target should therefore be to reduce the risk of hospitalisation/death for all ethnic groups, but especially in Pakistani males and females and Indian males in Scotland.

Availability of supporting data {#Sec19}
-------------------------------

We do not have permission to share the underlying dataset as, due to security considerations, this needs to be analysed within the confines of a safe haven. Researchers should contact the principal investigator if they wish to explore the possibility of collaborative work.

Box 1: Scotland 2001 Census ethnic groups {#Sec20}
=========================================

White Scottish

Other White British

White Irish

Other White

Any mixed background

Indian

Pakistani

Bangladeshi

Other South Asian

Caribbean

African

Black Scottish or Other Black

Chinese

Other ethnic group

CI

:   Confidence interval

CoB

:   Country of birth

HR

:   Hazard ratio

IRR

:   Incidence rate ratio

NHS

:   National Health Service

OR

:   Odds ratio

PY

:   Person years

SHELS

:   Scottish Health and Ethnicity Linkage Study

SIMD

:   Scottish Index of Multiple Deprivation

**Competing interests**

The authors declare that they have no competing interests.

**Authors' contributions**

The authorship, the authorship by-line, and note of contributions follows SHELS policy on authorship. All authors served on the respiratory subgroup of SHELS which planned the work in detail. RB was the PI of SHELS; AS chaired the respiratory subgroup and led the writing of this manuscript; CF was a co-investigator; CRS was a research collaborator; MFCS was clinical research fellow and lead analyst; GC was researcher and analyst; NB was the study coordinator and research fellow; and AD coordinated the project in the final phase and wrote a report on the respiratory analysis. All authors helped plan the study and/or analysis, interpret data, critically revise drafts of the manuscript and agreed submission of the final draft.

We thank our SHELS collaborators at NHS Information Services Division and at National Records Scotland and the SHELS Phase 3 Steering Group. We acknowledge input to this report from Jenny Holmes, SHELS Study assistant. AS was supported by The Commonwealth Fund, a private independent foundation based in New York City. The views presented here are those of the authors and not necessarily those of The Commonwealth Fund, its directors, officers, or staff. AS is Director of the Asthma UK Centre for Applied Research; he also acknowledges the support of the Farr Institute.

Contributors from the Scottish Health and Ethnicity Linkage Study research team: these contributors served on the Steering Group and some on other important subgroups of SHELS, and therefore gave general direction that helped this analysis. Chris Povey was a co-applicant and the originator of the idea of linking the census data to the data held by ISD and he performed most of the linkage work, including developing linkage methods. Prof Jamie Pearce (co-applicant) advised especially on socioeconomic adjustment. Duncan Buchanan (co-applicant) chaired the analysis subgroup. Ganka Mueller (part study), Alex Stannard (part study) and Kirsty MacLachlan advised particularly in relation to National Records of Scotland contributions. These important contributions did not meet ICMJE authorship requirements.

Funding {#FPar1}
=======

Chief Scientist's Office of the Scottish Government, British Lung Foundation and NHS Health Scotland.
