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.

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.

Associations between school enjoyment at age 6 and later educational achievement: evidence from a UK cohort study.

Education is influenced by a broad range of factors but there has been limited research into the role that early school enjoyment plays in pupil's educational achievement. Here we used data from a UK cohort to answer three research questions. What is the association between early school enjoyment and later academic achievement? To what extent do family background factors underlie this association? Do sex differences in school enjoyment underlie sex differences in achievement? School enjoyment was self-reported in two questionnaires completed at age 6. We used multiple imputation to account for missing covariates in this study, giving an imputed sample size of 12,135. Children's school enjoyment at age 6 associated with sex and cognitive ability but not family socioeconomic background. For example, girls were twice as likely to report enjoying school than boys (OR: 1.97; 95% CI: 1.56, 2.48). School enjoyment strongly associated with later achievement in age 16 compulsory GCSE exams even after adjustment for socioeconomic background and cognitive ability; pupils who reported enjoying school scored on average 14.4 (95% CI: 6.9, 21.9) more points (equivalent to almost a 3-grade increase across all subjects) and were 29% more likely to obtain 5 + A*-C GCSE's including Maths and English (OR: 1.29; 95% CI: 0.99, 1.7) than those who did not enjoy school. These results highlight the importance of school enjoyment for educational achievement. As a potentially more modifiable factor than socioeconomic background, cognitive ability or sex, school enjoyment may represent a promising intervention target for improving educational outcomes.

Spatial and temporal inequalities in mortality in the USA, 1968-2016.

Previous UK and European research has highlighted important variations in mortality between populations after adjustment for key determinants such as poverty and deprivation. The aim here was to establish whether similar populations could be identified in the US, and to examine changes over time. We employed Poisson regression models to compare county-level mortality with national rates between 1968 and 2016, adjusting for poverty, education, race (a proxy for exposure to racism), population change and deindustrialisation. Results are presented by means of population-weighted cartograms, and highlight widening spatial inequalities in mortality over time, including an urban to rural, and south-westward, shift in areas with the highest levels of such unexplained 'excess' mortality. There is a need to understand the causes of the excess in affected communities, given that it persists after adjustment for such a broad range of important health determinants.

Changes in population movement make COVID-19 spread differently from SARS.

This comment discusses the contribution of population movement to the spread of COVID-19, with a reference to the spread of SARS 17 years ago. We argue that the changing geography of migration, the diversification of jobs taken by migrants, the rapid growth of tourism and business trips, and the longer distance taken by people for family reunion are what make the spread of COVID-19 so differently from that of SARS. These changes in population movement are expected to continue. Hence, new strategies in disease prevention and control should be taken accordingly, which are also proposed in the comment.

Things Fall Apart: the British Health Crisis 2010-2020.

BACKGROUND: A very large number of studies have reported a stalling of health improvements in the UK since 2010. SOURCES OF DATA: Almost all relevant data are produced by the Office for National Statistics and other national statistical agencies. AREAS OF AGREEMENT: There has been a dramatic slowdown in life expectancy and diverging trends in infant mortality in the UK as a whole and England and Wales, respectively. AREAS OF CONTROVERSY: Many commentators are loath to describe the falls in life expectancy as actual falls or to ascribe blame to the political situation in the UK. GROWING POINTS: Health trends in the UK are worrying and raise important questions about government policies. AREAS TIMELY FOR DEVELOPING RESEARCH: These findings point to a need for greater investment in research on the political determinants of health, on the timely detection and interpretation of evidence of worsening health, and on how political and policy processes respond to such findings.

Why is life expectancy in England and Wales 'stalling'?

Several independent analyses, by both epidemiologists and actuaries, have concluded that the previous rate of improvement of life expectancy in England and Wales has now slowed markedly, and at older ages may even be reversing. However, although these findings have led the pension industry to reduce estimates of future liabilities, they have failed to elicit any significant concern in the Department of Health and Social Care. In this essay, we review the evidence on changing life expectancy, noting that the problems are greatest among older women. We then estimate the gap between what life expectancy is now and what it might have been had previous trends continued. At age 85, the gap is 0.34 years for women and 0.23 for men. We argue that recent changes cannot be dismissed as a temporary aberration. While the causes of this phenomenon are contested, there is growing evidence to point to the austerity policies implemented in recent years as at least a partial explanation. We conclude by calling for a fully independent enquiry to ascertain what is happening to life expectancy in England and Wales and what should be done about it.