{"id":50874,"date":"2021-08-20T15:11:23","date_gmt":"2021-08-20T14:11:23","guid":{"rendered":"https:\/\/blogs.bmj.com\/bmj\/?p=50874"},"modified":"2021-08-31T14:46:20","modified_gmt":"2021-08-31T13:46:20","slug":"ethnic-differences-in-life-expectancy-in-england-and-wales-the-unexpected","status":"publish","type":"post","link":"https:\/\/blogs.bmj.com\/bmj\/2021\/08\/20\/ethnic-differences-in-life-expectancy-in-england-and-wales-the-unexpected\/","title":{"rendered":"Ethnic differences in life expectancy in England and Wales: the unexpected?"},"content":{"rendered":"<p><i><span style=\"font-weight: 400\">Veena Raleigh unpicks the recent ONS findings that ethnic minority groups in England and Wales live longer than White groups<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400\">The Office for National Statistics (ONS) findings that ethnic minorities in England and Wales had a higher life expectancy at birth than the White population during 2011-14<\/span><span style=\"font-weight: 400\"> may come as a surprise to many, as ethnic minorities are widely reported to have worse health outcomes. [1,2] <\/span><span style=\"font-weight: 400\"> In fact, the picture is more complicated.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">These headline life expectancy figures belie a complex picture of different ethnic groups being disproportionately affected by different causes of death. For example, White groups had the highest death rates from most cancers, dementia, and Alzheimer\u2019s disease, which accounted for almost 40% of total deaths nationally. In contrast, South Asian and Black groups had higher mortality from diabetes and some cardiovascular diseases, such as heart disease, stroke, and hypertension. Mortality from specific cancers was also higher in some minority groups\u2014for example, lung cancer among Bangladeshi males and prostate cancer among Black males. Other evidence shows South Asian and Black groups also have higher rates of infant and maternal mortality, although these cause relatively fewer deaths. [3,4]<\/span> <span style=\"font-weight: 400\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Although overall mortality has declined in all ethnic groups, ethnic differences in overall and cause-specific mortality have remained similar through to recent years: in 2017-19 <\/span><span style=\"font-weight: 400\">the White group had higher\u00a0overall mortality than any other ethnic group and higher rates than most other ethnic groups for many leading causes of death. [5]<\/span><\/p>\n<p><span style=\"font-weight: 400\">Many factors could be driving these ethnic differences in life expectancy. For example, <\/span><span style=\"font-weight: 400\">research shows that migrants globally tend to be healthier than the host population. [6-13] <\/span> <span style=\"font-weight: 400\"> However, this \u201chealthy migrant effect\u201d wanes with longer duration of residence, possibly as lifestyles change to mirror the majority population. [14-19] <\/span> <span style=\"font-weight: 400\"> Black African and other Asian groups in the UK are more recent migrants, which may in part explain their higher life expectancy. [20]<\/span><span style=\"font-weight: 400\"> Moreover, some risk factors, e.g. smoking<\/span><span style=\"font-weight: 400\"> and alcohol consumption<\/span><span style=\"font-weight: 400\">, are lower among ethnic minorities. [21,22] Deprivation is a significant driver of poor health in all groups and, although ethnic minorities experience greater deprivation on average than the White population, it\u2019s not clear if the relationship applies equally across all ethnic groups. [23,24] <\/span> <span style=\"font-weight: 400\"> We welcome ONS\u2019 intention to examine the effects of these and other underlying drivers.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">ONS notes caveats to its methodology (which it aims to refine further). [25] <\/span><span style=\"font-weight: 400\"> As death records don\u2019t include ethnicity, they were linked to 2011 census records to derive the ethnicity of deceased individuals and adjustments were needed to allow for census under-enumeration, non-linkage, post-censal migration and other factors. The methodology is the most pragmatic given the limitations of currently available data, and similar to how ONS analyses ethnic differences <\/span><span style=\"font-weight: 400\">in mortality from covid-19\u2014findings which have greatly informed public understanding of and policies for reducing the pandemic\u2019s impact on population sub-groups. Moreover, in Scotland, following poor data quality after ethnicity recording in death certification was introduced in 2012, an Expert Group\u2019s recommendation that <\/span><span style=\"font-weight: 400\">linkage of self-reported ethnicity in the census to health records is the best option for accurate ethnic group analysis <\/span><span style=\"font-weight: 400\">has been accepted. [26] <\/span><span style=\"font-weight: 400\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Strengths of the ONS analysis are that it provides national data and is based on self-reported ethnicity which is not subject to the coding biases in health records. [27-29] <\/span> <span style=\"font-weight: 400\"> The findings are also broadly consistent with evidence on <\/span><span style=\"font-weight: 400\">ethnic differences in disease and mortality, and therefore have face validity. [30-38]<\/span><\/p>\n<p><span style=\"font-weight: 400\">Covid-19\u2019s disproportionate impact on ethnic minority groups reversed the previous pattern in some (notably Pakistani and Bangladeshi) ethnic minority groups who now experience higher overall mortality than the White population; other groups show no difference or retain their mortality advantage. [39]<\/span><span style=\"font-weight: 400\"> It\u2019s premature to speculate whether pre-pandemic life expectancy patterns among ethnic groups will be restored when covid-19 is under control.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">The covid-19 pandemic has highlighted the power of data nationally and globally in understanding the prevalence and impact of disease, and informing preventive interventions e.g. data on infections, hospital admissions, and deaths has been used internationally to manage the pandemic, despite significant data limitations including variations in coding this new disease. [40] <\/span><span style=\"font-weight: 400\"> The alternative to imperfect data would have been a blind spot. That\u2019s why it\u2019s imperative that available data are used to inform policy decisions, while simultaneously data quality is improved.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">The ONS report adds significantly to our understanding of ethnic differences in mortality, brought sharply into focus by the covid-19 pandemic. The findings provide some clear pointers to where interventions are needed by government, health, and other agencies to reduce the burden of disease and health inequalities, including between ethnic groups. For example, cardiovascular disease and diabetes are potentially preventable diseases, yet they continue to cause significant morbidity and mortality among ethnic minority groups and the poor in all ethnic groups (including White). UK\u2019s cancer survival rates compare poorly with many European countries. [41] <\/span><span style=\"font-weight: 400\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Health inequalities were wide and widening before the pandemic, and covid-19 has greatly amplified these inequalities. The need for a cross-government strategy that addresses the diverse health needs of all groups at risk of poor health and high mortality\u2014including both ethnic minorities and the White poor\u2014has never been more urgent.<\/span><\/p>\n<p><em><span style=\"font-weight: 400\"><strong>Veena S Raleigh<\/strong>, Senior Fellow, The King\u2019s Fund.<\/span><\/em><\/p>\n<p><em><strong>Competing interests<\/strong>: none declared.<\/em><\/p>\n<p><strong>References<\/strong>:<\/p>\n<p>1.https:\/\/www.ons.gov.uk\/peoplepopulationandcommunity\/birthsdeathsandmarriages\/lifeexpectancies\/articles\/ethnicdifferencesinlifeexpectancyandmortalityfromselectedcausesinenglandandwales\/2011to2014<br \/>\n2.https:\/\/www.bmj.com\/content\/372\/bmj.m4921<br \/>\n3.https:\/\/www.ons.gov.uk\/peoplepopulationandcommunity\/healthandsocialcare\/childhealth\/articles\/birthsandinfantmortalitybyethnicityinenglandandwales\/2007to2019<br \/>\n4. https:\/\/www.npeu.ox.ac.uk\/assets\/downloads\/mbrrace-uk\/reports\/maternal-report-2020\/MBRRACE-UK_Maternal_Report_Dec_2020_v10_ONLINE_VERSION_1404.pdf<br \/>\n5.https:\/\/www.ons.gov.uk\/peoplepopulationandcommunity\/birthsdeathsandmarriages\/deaths\/articles\/mortalityfromleadingcausesofdeathbyethnicgroupenglandandwales\/2012to2019<br \/>\n6. https:\/\/link.springer.com\/article\/10.1007\/s12134-014-0340-x<br \/>\n7. https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/psp.2360<br \/>\n8. https:\/\/jech.bmj.com\/content\/67\/9\/743<br \/>\n9. https:\/\/pubmed.ncbi.nlm.nih.gov\/26595089\/<br \/>\n10. https:\/\/www.thelancet.com\/journals\/lancet\/article\/PIIS0140-6736(18)32781-8\/fulltext<br \/>\n11. https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/13557858.2016.1246518?journalCode=ceth20<br \/>\n12. https:\/\/journals.sagepub.com\/doi\/10.1177\/1010539509358193<br \/>\n13. https:\/\/journals.plos.org\/plosone\/article?id=10.1371\/journal.pone.0199669<br \/>\n14.https:\/\/www.ons.gov.uk\/peoplepopulationandcommunity\/birthsdeathsandmarriages\/lifeexpectancies\/articles\/ethnicdifferencesinlifeexpectancyandmortalityfromselectedcausesinenglandandwales\/2011to2014<br \/>\n15. https:\/\/pubmed.ncbi.nlm.nih.gov\/26595089\/<br \/>\n16. https:\/\/bmcpublichealth.biomedcentral.com\/articles\/10.1186\/s12889-019-6652-1<br \/>\n17. https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/13557858.2016.1246518?journalCode=ceth20<br \/>\n18. https:\/\/journals.sagepub.com\/doi\/10.1177\/1010539509358193<br \/>\n19. https:\/\/journals.plos.org\/plosmedicine\/article?id=10.1371\/journal.pmed.1002515<br \/>\n20.https:\/\/www.ons.gov.uk\/peoplepopulationandcommunity\/culturalidentity\/ethnicity\/articles\/2011censusanalysisethnicityandreligionofthenonukbornpopulationinenglandandwales\/2015-06-18<br \/>\n21. https:\/\/www.ethnicity-facts-figures.service.gov.uk\/health\/alcohol-smoking-and-drug-use\/adult-smokers\/latest<br \/>\n22. https:\/\/www.ethnicity-facts-figures.service.gov.uk\/health\/alcohol-smoking-and-drug-use\/harmful-and-probable-dependent-drinking-in-adults\/latest<br \/>\n23. https:\/\/www.health.org.uk\/sites\/default\/files\/upload\/publications\/2020\/Build-back-fairer-the-COVID-19-Marmot-review.pdf<br \/>\n24. https:\/\/jech.bmj.com\/content\/67\/9\/743<br \/>\n25.https:\/\/www.ons.gov.uk\/peoplepopulationandcommunity\/birthsdeathsandmarriages\/lifeexpectancies\/articles\/ethnicdifferencesinlifeexpectancyandmortalityfromselectedcausesinenglandandwales\/2011to2014<br \/>\n26. https:\/\/www.gov.scot\/publications\/expert-reference-group-on-covid-19-and-ethnicity-recommendations-to-scottish-government\/<br \/>\n27. https:\/\/www.nuffieldtrust.org.uk\/research\/ethnicity-coding-in-english-health-service-datasets<br \/>\n28. https:\/\/www.thelancet.com\/pdfs\/journals\/lancet\/PIIS0140-6736(21)00634-6.pdf<br \/>\n29. https:\/\/www.kingsfund.org.uk\/publications\/ethnicity-coding-health-records<br \/>\n30. https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC8106239\/<br \/>\n31. https:\/\/www.thelancet.com\/journals\/lancet\/article\/PIIS0140-6736(21)01428-8\/fulltext<br \/>\n32. https:\/\/www.kingsfund.org.uk\/publications\/health-people-ethnic-minority-groups-england<br \/>\n33.https:\/\/assets.publishing.service.gov.uk\/government\/uploads\/system\/uploads\/attachment_data\/file\/908434\/Disparities_in_the_risk_and_outcomes_of_COVID_August_2020_update.pdf<br \/>\n34. https:\/\/pubmed.ncbi.nlm.nih.gov\/27473157\/<br \/>\n35. https:\/\/journals.plos.org\/plosmedicine\/article?id=10.1371\/journal.pmed.1002515<br \/>\n36. https:\/\/pubmed.ncbi.nlm.nih.gov\/26595089\/<br \/>\n37. https:\/\/jech.bmj.com\/content\/67\/9\/743<br \/>\n38.https:\/\/assets.publishing.service.gov.uk\/government\/uploads\/system\/uploads\/attachment_data\/file\/733093\/PHOF_Health_Equity_Report.pdf<br \/>\n39.https:\/\/www.ons.gov.uk\/peoplepopulationandcommunity\/birthsdeathsandmarriages\/deaths\/articles\/updatingethniccontrastsindeathsinvolvingthecoronaviruscovid19englandandwales\/latest<br \/>\n40. https:\/\/www.oecd.org\/gov\/digital-government\/open-data-in-action-initiatives-during-the-initial-stage-of-the-covid-19-pandemic.pdf<br \/>\n41. https:\/\/ec.europa.eu\/health\/sites\/default\/files\/state\/docs\/2020_healthatglance_rep_en.pdf<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Veena Raleigh unpicks the recent ONS findings that ethnic minority groups in England and Wales live longer than White groups The Office for National Statistics (ONS) findings that ethnic minorities [&#8230;]<\/p>\n<p><a class=\"btn btn-secondary understrap-read-more-link\" href=\"https:\/\/blogs.bmj.com\/bmj\/2021\/08\/20\/ethnic-differences-in-life-expectancy-in-england-and-wales-the-unexpected\/\">More&#8230;<\/a><\/p>\n","protected":false},"author":66,"featured_media":50875,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[223,2148],"tags":[],"class_list":["post-50874","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-guest-bloggers","category-kings-fund"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Ethnic differences in life expectancy in England and Wales: the unexpected? - The BMJ<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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