Influenza: cause or excuse? An analysis of flu's influence on worsening mortality trends in England and Wales, 2010-19.

BACKGROUND: England and Wales experienced a stagnation of previously improving life expectancy during the 2010s. Public bodies cited influenza as an important cause. SOURCES OF DATA: We used data from the Office for National Statistics to examine mortality attributed directly to influenza and to all influenza-like diseases for the total population of England and Wales 2010-19. Several combinations of ICD-10 codes were used to address the possibility of under-counting influenza deaths. AREAS OF AGREEMENT: Deaths from influenza and influenza-like diseases declined between 2010 and 2019, while earlier improvements in mortality from all causes of death were stalling and, with some causes, worsening. Our findings support existing research showing that influenza is not an important cause of the stalling of mortality rates 2010-19. AREAS OF CONTROVERSY: Influenza was accepted by many as an important cause of stalling life expectancy for much of the 2010s, while few in public office have accepted austerity as a key factor in the changes seen during that time. GROWING POINTS: This adds to the mounting evidence that austerity damaged health prior to COVID-19 and left the population more vulnerable when it arrived. AREAS FOR DEVELOPING TIMELY RESEARCH: Future research should explore why so many in public office were quick to attribute the change in trends in overall mortality in the UK in this period to influenza, and why many continue to do so through to 2023 and to deny the key role of austerity in harming population health.

A deathly silence: why has the number of people found decomposed in England and Wales been rising?

OBJECTIVES: The number of deaths occurring in private homes in England and Wales had been rising for years, increasingly rapidly from 2020. Media stories and research linked decomposing bodies found in private homes with pandemic-related social isolation. We aim to explore whether these incidents are one-offs or part of a wider trend. DESIGN: Descriptive analysis of publicly available Office for National Statistics (ONS) data. SETTING: England and Wales. PARTICIPANTS: All residents of England and Wales, 1979 to 2020. MAIN OUTCOME MEASURES: Using data from the Office for National Statistics, we calculate European Age Standardised Rates for deaths coded as R98 ('unattended death') and R99 ('other ill-defined and unknown causes of mortality') in the 10th version of the International Classification of Diseases (ICD-10), and the corresponding codes in ICD-9, by sex and age group from 1979 (when ICD-9 began) to 2020. These are proxy markers for deaths where decomposition precludes attribution of a specific cause at postmortem. RESULTS: While mortality from all other causes decreased from 1979 to 2020, the opposite was seen for deaths from R98 and R99 (or 'undefined deaths'), with men more affected than women. There was a sharp rise in these deaths in both sexes but in men particularly in the 1990s and 2000s, coinciding with a time when overall mortality was rapidly improving. CONCLUSIONS: The increase in people found dead from unknown causes suggests wider societal breakdowns of both formal and informal social support networks. They are concerning and warrant urgent further investigation. We call on national and international authorities to consider measures that would make it possible to identify these deaths more easily in routine data.

Elevated mortality among the second-generation (children of migrants) in Europe: what is going wrong? A review.

INTRODUCTION: The 'second-generation' (i.e. the children of migrants) represent one of the fastest growing subpopulations of the child and young adult populations in Europe today. The research so far appears to indicate that their mortality risk is elevated relative to people with non-migrant backgrounds. SOURCES OF DATA: Peer-reviewed publications. AREAS OF AGREEMENT: Second-generation status is a clear marker of elevated mortality risk in Europe in early life (including stillbirth, perinatal, neonatal and infant mortality) and adulthood, particularly if the parent(s) were born outside of Europe. Socioeconomic inequality plays an important, albeit rarely defining, role in these elevated risks. AREAS OF CONTROVERSY: It remains unclear what causes-of-death are driving these elevated mortality risks. The exact influence of (non-socioeconomic) explanatory factors (e.g. health care, racism & discrimination, and factors related to integration) on the elevated mortality risks of the second-generation also remains unclear. GROWING POINTS: The second-generation will continue to grow and diversify in Europe; we must intervene to address these inequalities now. AREAS TIMELY FOR DEVELOPING RESEARCH: Place more emphasis on the complexity of migration background, specific causes-of-death, and understanding the roles of explanatory factors beyond socioeconomic background.

When experts disagree: interviews with public health experts on health outcomes in the UK 2010-2020.

OBJECTIVES: To ascertain the views of public health experts on adverse trends in life expectancy across England and Wales over the past decade, causal factors, possible solutions, and their opinions about how the prepandemic situation influenced the UK's COVID-19 response. STUDY DESIGN: Semistructured, in-depth interviews. METHODS: Nineteen public health experts were identified by purposeful sampling and invited to take part via e-mail. Sixty-three percent responded and participated (n = 12), six females and six males. Interviews took place via Microsoft Teams between November 2021 and January 2022. Interviews were transcribed and analysed using thematic content analysis. RESULTS: There was no consensus on the significance of the stalling and, at some ages, reversal of previous improvements in life expectancy between 2010 and 2020. Explanations offered included data misinterpretation, widening health inequalities, and disinvestment in public services, as well as some disease-specific causes. Those accepting that the decline was concerning linked it to social factors and suggested solutions based on increased investment and implementing existing evidence on how to reduce health inequalities. These interviewees also pointed to the same factors playing a role in the UK's poor COVID-19 response, highlighting the need to understand and address these underlying issues as part of pandemic preparedness. CONCLUSIONS: There was no consensus among a group of influential public health experts in the UK on the scale, nature, and explanations of recent trends in life expectancy. A majority called for implementation of existing evidence on reducing inequalities, especially in the wake of COVID-19. However, without agreement on what the problem is, action is likely to remain elusive.

What can the UK learn from the impact of migrant populations on national life expectancy?

Improvements in life expectancy at birth in the UK had stalled prior to 2020 and have fallen during the COVID-19 pandemic. The stagnation took place at a time of relatively high net migration, yet we know that migrants to Australia, the USA and some Nordic countries have positively impacted national life expectancy trends, outperforming native-born populations in terms of life expectancy. It is important to ascertain whether migrants have contributed positively to life expectancy in the UK, concealing worsening trends in the UK-born population, or whether relying on national life expectancy calculations alone may have masked excess mortality in migrant populations. We need a better understanding of the role and contribution of migrant populations to national life expectancy trends in the UK.

What can lifespan variation reveal that life expectancy hides? Comparison of five high-income countries.

OBJECTIVES: In most countries, life expectancy at birth (e0) has improved for many decades. Recently, however, progress has stalled in the UK and Canada, and reversed in the USA. Lifespan variation, a complementary measure of mortality, increased a few years before the reversal in the USA. To assess whether this measure offers additional meaningful insights, we examine what happened in four other high-income countries with differing life expectancy trends. DESIGN: We calculated life disparity (a specific measure of lifespan variation) in five countries -- USA, UK, France, Japan and Canada -- using sex- and age specific mortality rates from the Human Mortality Database from 1975 to 2017 for ages 0--100 years. We then examined trends in age-specific mortality to identify the age groups contributing to these changes. SETTING: USA, UK, France, Japan and Canada. PARTICIPANTS: aggregate population data of the above nations. MAIN OUTCOME MEASURES: Life expectancy at birth, life disparity and age-specific mortality. RESULTS: The stalls and falls in life expectancy, for both males and females, seen in the UK, USA and Canada coincided with rising life disparity. These changes may be driven by worsening mortality in middle-age (such as at age 40). France and Japan, in contrast, continue on previous trajectories. CONCLUSIONS: Life disparity is an additional summary measure of population health providing information beyond that signalled by life expectancy at birth alone.