Report on the Joint Workshop on the Relations between Health Inequalities, Ageing and Multimorbidity, Iceland, May 3-4, 2023.

This paper is a summary of key presentations from a workshop in Iceland on May 3-4, 2023 arranged by Aarhus University and with participation of the below-mentioned scientists. Below you will find the key messages from the presentations made by: Professor Jan Vandenbroucke, Department of Clinical Epidemiology, Aarhus University, Emeritus Professor, Leiden University; Honorary Professor, London School of Hygiene & Tropical Medicine, UKProfessor, Chair Henrik Toft Sørensen, Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, DenmarkProfessor David H. Rehkopf, Director, the Stanford Center for Population Health Sciences, Stanford University, CA., USProfessor Jaimie Gradus, Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, USProfessor Johan Mackenbach, Emeritus Professor, Department of Public Health, Erasmus University Rotterdam, HollandProfessor, Chair M Maria Glymour, Department of Epidemiology, Boston University School of Public Health, Boston University, Boston, Massachusetts, USProfessor, Dean Sandro Galea, School of Public Health, Boston University, Boston, Massachusetts, USProfessor Victor W. Henderson, Departments of Epidemiology & Population Health and of Neurology & Neurological Sciences, Stanford University, Stanford, CA, US; Department of Clinical Epidemiology, Aarhus University, Aarhus, DK.

[Artworks from medieval and early-modern hospitals in The Netherlands]. / Kunst uit middeleeuwse hospitalen in Nederland.

In the Middle Ages and early modern times, hospitals were omnipresent in Western Europe, including the area within the current borders of the Netherlands. It is not generally known that these institutions not only left an architectural heritage, but also an interesting art patrimony. This article describes this patrimony, which consists of 71 works of art. Christian-religious themes predominate, related to the fact that in these institutions spiritual care was more important than bodily care. This is illustrated on the basis of a few concrete examples, in which the relationship with the hospital often remains implicit, but sometimes is visualized explicitly. Although the world of thought from which these works of art emerged is far removed from that of the 21st century, they form an interesting mirror for modern visions of the function of art in hospitals.

[Planetary health: a new field of research, education and practice]. / 'Planetary health'.

'Planetary health' is a new field of research, education and practice focusing on the relationship between global environmental change and human health. This includes climate change, but also biodiversity loss, environmental pollution, and other large-scale changes in the natural environment that may affect human health. This article provides an overview of the extent to which scientific knowledge is available about these health risks. Both the scientific literature and expert opinion indicate that global environmental changes may have potentially disastrous consequences for human health worldwide. Countermeasures are therefore indicated, both in the form of mitigation (combating global environmental change) and in the form of adaptation (e.g., to limit the health consequences). The health care sector has an important responsibility, also because of its own contribution to global environmental change, and both health care practices and medical education will have to change in response to the health risks of global environmental change.

Widening educational inequalities in mortality in more recent birth cohorts: a study of 14 European countries.

BACKGROUND: Studies of period changes in educational inequalities in mortality have shown important changes over time. It is unknown whether a birth cohort perspective paints the same picture. We compared changes in inequalities in mortality between a period and cohort perspective and explored mortality trends among low-educated and high-educated birth cohorts. DATA AND METHODS: In 14 European countries, we collected and harmonised all-cause and cause-specific mortality data by education for adults aged 30-79 years in the period 1971-2015. Data reordered by birth cohort cover persons born between 1902 and 1976. Using direct standardisation, we calculated comparative mortality figures and resulting absolute and relative inequalities in mortality between low educated and high educated by birth cohort, sex and period. RESULTS: Using a period perspective, absolute educational inequalities in mortality were generally stable or declining, and relative inequalities were mostly increasing. Using a cohort perspective, both absolute and relative inequalities increased in recent birth cohorts in several countries, especially among women. Mortality generally decreased across successive birth cohorts among the high educated, driven by mortality decreases from all causes, with the strongest reductions for cardiovascular disease mortality. Among the low educated, mortality stabilised or increased in cohorts born since the 1930s in particular for mortality from cardiovascular diseases, lung cancer, chronic obstructive pulmonary disease and alcohol-related causes. CONCLUSIONS: Trends in mortality inequalities by birth cohort are less favourable than by calendar period. In many European countries, trends among more recently born generations are worrying. If current trends among younger birth cohorts persist, educational inequalities in mortality may further widen.

Estimation of Socioeconomic Inequalities in Mortality in Japan Using National Census-linked Longitudinal Mortality Data.

BACKGROUND: We aimed to develop census-linked longitudinal mortality data for Japan and assess their validity as a new resource for estimating socioeconomic inequalities in health. METHODS: Using deterministic linkage, we identified, from national censuses for 2000 and 2010 and national death records, persons and deceased persons who had unique personal identifiers (generated using sex, birth year/month, address, and marital status). For the period 2010-2015, 1,537,337 Japanese men and women aged 30-79 years (1.9% in national census) were extracted to represent the sample population. This population was weighted to adjust for confounding factors. We estimated age-standardized mortality rates (ASMRs) by education level and occupational class. The slope index of inequality (SII) and relative index inequality (RII) by educational level were calculated as inequality measures. RESULTS: The reweighted sample population's mortality rates were somewhat higher than those of the complete registry, especially in younger age-groups and for external causes. All-cause ASMRs (per 100,000 person-years) for individuals aged 40-79 years with high, middle, and low education levels were 1,078 (95% confidence interval [CI], 1,051-1,105), 1,299 (95% CI, 1,279-1,320), and 1,670 (95% CI, 1,634-1,707) for men, and 561 (95% CI, 536-587), 601 (95% CI, 589-613), and 777 (95% CI, 745-808) for women, respectively, during 2010-2015. SII and RII by educational level increased among both sexes between 2000-2005 and 2010-2015, which indicates that mortality inequalities increased. CONCLUSION: The developed census-linked longitudinal mortality data provide new estimates of socioeconomic inequalities in Japan that can be triangulated with estimates obtained with other methods.

Socioeconomic inequalities in self-rated health in Japan, 32 European countries and the United States: an international comparative study.

AIMS: Japan is known as a country with low self-rated health despite high life expectancy. We compared socioeconomic inequalities in self-rated health in Japan with those in 32 European countries and the US using nationally representative samples. METHODS: We analysed individual data from the Comprehensive Survey of Living Conditions (Japan), the European Union Statistics on Income and Living Conditions, and the Behavioral Risk Factor Surveillance System (US) in 2016. We used ordered logistic regression models with four ordinal categories of self-rated health as an outcome, and educational level or occupational class as independent variables, controlling for age. RESULTS: In Japan, about half the population perceived their health as 'fair', which was much higher than in Europe (≈20-40%). The odds ratios of lower self-rated health among less educated men compared with more educated were 1.72 (95% confidence interval (CI) 1.61-1.85) in Japan, and ranged from 1.67 to 4.74 in Europe (pooled; 2.10 (95% CI 2.01-2.20)), and 6.65 (95% CI 6.22-7.12) in the US. The odds ratios of lower self-rated health among less educated women were 1.79 (95% CI 1.65-1.95) in Japan, and ranged from 1.89 to 5.30 in Europe (pooled; 2.43 (95% CI 2.33-2.54)), and 8.82 (95% CI 8.29-9.38) in the US. Socioeconomic inequalities were large when self-rated health was low for European countries, but Japan and the US did not follow the pattern. CONCLUSIONS: Japan has similar socioeconomic gradient patterns to European countries for self-rated health, and our findings revealed smaller socioeconomic inequalities in self-rated health in Japan compared with those in western countries.

Projecting years in good health between age 50-69 by education in the Netherlands until 2030 using several health indicators - an application in the context of a changing pension age.

OBJECTIVE: We investigate whether there are changes over time in years in good health people can expect to live above (surplus) or below (deficit) the pension age, by level of attained education, for the past (2006), present (2018) and future (2030) in the Netherlands. METHODS: We used regression analysis to estimate linear trends in prevalence of four health indicators: self-assessed health (SAH), the Organization for Economic Co-operation and Development (OECD) functional limitation indicator, the OECD indicator without hearing and seeing, and the activities-of-daily-living (ADL) disability indicator, for individuals between 50 and 69 years of age, by age category, gender and education using the Dutch National Health Survey (1989-2018). We combined these prevalence estimates with past and projected mortality data to obtain estimates of years lived in good health. We calculated how many years individuals are expected to live in good health above (surplus) or below (deficit) the pension age for the three points in time. The pension ages used were 65 years for 2006, 66 years for 2018 and 67.25 years for 2030. RESULTS: Both for low educated men and women, our analyses show an increasing deficit of years in good health relative to the pension age for most outcomes, particularly for the SAH and OECD indicator. For high educated we find a decreasing surplus of years lived in good health for all indicators with the exception of SAH. For women, absolute inequalities in the deficit or surplus of years in good health between low and high educated appear to be increasing over time. CONCLUSIONS: Socio-economic inequalities in trends of mortality and the prevalence of ill-health, combined with increasing statutory pension age, impact the low educated more adversely than the high educated. Policies are needed to mitigate the increasing deficit of years in good health relative to the pension age, particularly among the low educated.

Patient cost-sharing, mental health care and inequalities: A population-based natural experiment at the transition to adulthood.

BACKGROUND: Patient cost-sharing has been increasing around the world, despite the evidence that it reduces both unnecessary and necessary health care utilisation. Financial barriers could compound to poor transitional care into adulthood, when forgoing mental health treatment may have long-term consequences on health and development. We evaluate the impact of increasing deductibles on mental health care use by young adults, and the heterogeneous effects for vulnerable groups. METHODS: We use individual administrative records for 1,541,210 individuals between 17 and 19 years of age, living in the Netherlands. We implement a difference-in-discontinuity design that exploits an increase in the deductible of about 180 euros, between 2009 and 2014, and the deductible exemption for those below 18 years old. Finally, we study subgroup effects by household income, level of mental health care expenditure and medication use for mental disorders. RESULTS: Our results show that increasing deductibles reduced the probability of mental health care use at the transition to adulthood by 13.6% for females (-13.6%, CI 95%: -22.1%, -5.2%), and by 5.3% for males (-5.3%, CI 95%: -11.8%, 1.2%). The reduction was larger among females in the lowest (-18.9%, CI 95%: -35.4%, -2.3%) and second lowest (-21.3%, CI 95%: -36.7%, -5.9%) income quartiles. Additionally, we find increased treatment cessation in high deductible years to happen across all levels of mental health care need. CONCLUSIONS: Our findings indicate that cost-sharing is compounding to existing disruptions in care at the transition between children/adolescent and adult services. The larger reductions in mental health care use among low-income females uncover the role of the deductible increase in widening mental health care inequalities. Increased treatment cessation even among high-intensity users suggests potential long-term consequences for individuals, the health system, and society.

Trends and socioeconomic inequalities in self-rated health in Japan, 1986-2016.

INTRODUCTION: Despite having very high life expectancy, Japan has relatively poor self-rated health, compared to other high-income countries. We studied trends and socioeconomic inequalities in self-rated health in Japan using nationally representative data. METHODS: The Comprehensive Survey of Living Conditions was analyzed, every 3 years (n ≈ 0.6-0.8 million/year) from 1986 to 2016. Whereas previous studies dichotomized self-rated health as an outcome, we used four categories: very good, good, fair, and bad/very bad. Proportional odds ordinal logistic regression models are used, with ordinal scale self-rated health as an outcome, and age category, survey year and occupational class or educational level as independent variables. RESULTS: In 2016, the age-adjusted percentages for self-rated health categorized as very good, good, fair, and bad/very bad, were 24.0, 17.1, 48.7, and 10.2% among working-age men, and 21.6, 17.5, 49.4, and 11.5% among working-age women, respectively. With 1986 as the reference year, the odds ratios (ORs) of less good self-rated health were lowest in 1995 (0.69; 95% Confidence Interval [95% CI]: 0.66-0.71 of working-age men), and highest in 2010 (1.23 [95% CI: 1.19-1.27]). The ORs of male, lower non-manual workers (compared to upper non-manual) increased from 1.12 (95% CI: 1.07-1.17) in 2010 to 1.20 (95% CI: 1.15-1.26) in 2016. Between 2010 and 2016, the ORs of working-age men with middle and low levels of education (compared to a high level of education) increased from 1.22 (95% CI: 1.18-1.27) to 1.34 (95% CI: 1.29-1.38), and from 1.47 (95% CI: 1.39-1.56) to 1.75 (95% CI: 1.63-1.88), respectively. The ORs of working-age women with middle and low levels of education also increased from 1.22 (95% CI: 1.17-1.28) to 1.32 (95% CI: 1.26-1.37), and from 1.74 (95% CI: 1.61-1.88) to 2.03 (95% CI: 1.87-2.21) during the same period. CONCLUSION: Japan has the unique feature that approximately 50% of the survey respondents rated their self-rated health as fair, but with important variations over time and between socioeconomic groups. In-depth studies of the role of socioeconomic conditions may shed light on the reasons for the high prevalence of poor self-rated health in Japan.

Can Fall Risk Screening and Fall Prevention Advice in Hospital Settings Motivate Older Adult Patients to Take Action to Reduce Fall Risk?

OBJECTIVE: We investigated whether an in-hospital intervention consisting of fall risk screening and tailored advice could prompt patients to take preventive action. METHOD: Patients (≥70) attending the emergency department and nephrology outpatient clinic in a Dutch hospital were screened. Patients at high risk received tailored advice based on their individual risk factors. Three months after screening, preventive steps taken by patients were surveyed. RESULTS: Two hundred sixteen patients were screened. Of the 83 patients completing a 3-month follow-up, 51.8% took action; among patients who received tailored advice (n = 20), 70% took action. Patients most often adhered to advice on improving muscle strength and undergoing vision checkups (20%). Tailored advice and a reported low quality of life were associated with consulting a health care provider. DISCUSSION: Patients at risk in these settings are inclined to take action after screening. However, they do not always adhere to the tailored prevention advice.

[Fundamental causes of disease]. / Fundamentele oorzaken van ziekte.

When one approaches diseases from a historical perspective, it is striking that most diseases display a spectacular pattern of rise and fall. This article discusses an 'ecological-evolutionary theory' of the origins of disease, which explains the emergence of ever-new diseases from the fact that humans, in their tireless pursuit of better living conditions, have engaged in activities that exposed them to new health risks, at a pace that evolution cannot keep up with. This is illustrated by examples in the field of infectious diseases, ischemic heart disease and cancer. The rise of COVID-19 can be understood along the same lines. The fundamental role of behaviour and environment in the development of disease implies that public health measures are generally the best approach to tackle disease. Conflict of interest and financial support: none declared.

Trends in inequalities in disability in Europe between 2002 and 2017.

BACKGROUND: Monitoring socioeconomic inequalities in population health is important in order to reduce them. We aim to determine if educational inequalities in Global Activity Limitation Indicator (GALI) disability have changed between 2002 and 2017 in Europe (26 countries). METHODS: We used logistic regression to quantify the annual change in disability prevalence by education, as well as the annual change in prevalence difference and ratio, both for the pooled sample and each country, as reported in the European Union Statistics on Income and Living Conditions (EU-SILC) and the European Social Survey (ESS) for individuals aged 30-79 years. RESULTS: In EU-SILC, disability prevalence tended to decrease among the high educated. As a result, both the prevalence difference and the prevalence ratio between the low and high educated increased over time. There were no discernible trends in the ESS. However, there was substantial heterogeneity between countries in the magnitude and direction of these changes, but without clear geographical patterns and without consistency between surveys. CONCLUSIONS: Socioeconomic inequalities in disability appear to have increased over time in Europe between 2002 and 2017 as per EU-SILC, and have persisted as measured by the ESS. Efforts to further harmonise disability instruments in international surveys are important, and so are studies to better understand international differences in disability trends and inequalities.

The rise and fall of diseases: reflections on the history of population health in Europe since ca. 1700.

This essay explores the amazing phenomenon that in Europe since ca. 1700 most diseases have shown a pattern of 'rise-and-fall'. It argues that the rise of so many diseases indicates that their ultimate cause is not to be sought within the body, but in the interaction between humans and their environment. In their tireless pursuit of a better life, Europeans have constantly engaged in new activities which exposed them to new health risks, at a pace that evolution could not keep up with. Fortunately, most diseases have also declined again, mainly as a result of human interventions, in the form of public health interventions or improvements in medical care. The virtually continuous succession of diseases starting to fall in the 18th, 19th and 20th centuries suggests that the concept of an "epidemiological transition" has limited usefulness.

Widening Socioeconomic Inequalities in Smoking in Japan, 2001-2016.

BACKGROUND: Japan is one of the world's largest tobacco epidemic countries but few studies have focused on socioeconomic inequalities. We aimed to examine whether socioeconomic inequalities in smoking have reduced in Japan in recent times. METHODS: We analyzed data from the Comprehensive Survey of Living Conditions, a large nationally representative survey conducted every 3 years (n ≈ 700,000 per year) in Japan, during 2001-2016. Age-standardized smoking prevalence was computed based on occupational class and educational level. We calculated smoking prevalence difference (PD) and ratio (PR) of (a) manual workers versus upper non-manual workers and (b) low versus high educational level. The slope index of inequality (SII) and relative index inequality (RII) by educational level were used as inequality measures. RESULTS: Overall smoking prevalence (25-64 years) decreased from 56.0% to 38.4% among men and from 17.0% to 13.0% among women during 2001-2016. The PD between manual and upper non-manual workers (25-64 years) increased from 11.9% (95% confidence interval [CI], 11.0-12.9%) to 14.6% (95% CI, 13.5-15.6%) during 2001-2016. In 2016, smoking prevalence (25-64 years) for low, middle, and highly educated individuals were 57.8%, 43.9%, and 27.8% for men, and 34.7%, 15.9%, and 5.6% for women, respectively. SII and RII by educational level increased among both sexes. Larger socioeconomic differences in smoking prevalence were observed in younger generations, which suggests that socioeconomic inequalities in smoking evolve in a cohort pattern. CONCLUSIONS: Socioeconomic inequalities in smoking widened between 2001 and 2016 in Japan, which indicates that health inequalities will continue to exist in near future.

Mixed evidence for the compression of morbidity hypothesis for smoking elimination-a systematic literature review.

BACKGROUND: There is debate around the composition of life years gained from smoking elimination. The aim of this study was to conduct a systematic review of the literature to synthesize existing evidence on the effect of smoking status on health expectancy and to examine whether smoking elimination leads to compression of morbidity. METHODS: Five databases were systematically searched for peer-reviewed articles. Studies that presented quantitative estimates of health expectancy for smokers and non-/never-smokers were eligible for inclusion. Studies were searched, selected and reviewed by two reviewers who extracted the relevant data and assessed the risk of bias of the included articles independently. RESULTS: The search identified 2491 unique records, whereof 20 articles were eligible for inclusion (including 26 cohorts). The indicators used to measure health included disability/activity limitations (n=9), health-related quality of life (EQ-5D) (n=2), weighted disabilities (n=1), self-rated health (n=9), chronic diseases (n=6), cardiovascular diseases (n=4) and cognitive impairment (n=1). Available evidence showed consistently that non-/never-smokers experience more healthy life years throughout their lives than smokers. Findings were inconsistent on the effect of smoking on the absolute number of unhealthy life years. Findings concerning the time proportionally spent unhealthy were less heterogeneous: nearly all included articles reported that non-/never-smokers experience relatively less unhealthy life years (e.g. relative compression of morbidity). CONCLUSIONS: Support for the relative compression of morbidity due to smoking elimination was evident. Further research is needed into the absolute compression of morbidity hypothesis since current evidence is mixed, and methodology of studies needs to be harmonized.

Determinants of inequalities in years with disability: an international-comparative study.

BACKGROUND: Persons with a lower socioeconomic position spend more years with disability, despite their shorter life expectancy, but it is unknown what the important determinants are. This study aimed to quantify the contribution to educational inequalities in years with disability of eight risk factors: father's manual occupation, low income, few social contacts, smoking, high alcohol consumption, high body-weight, low physical exercise and low fruit and vegetable consumption. METHODS: We collected register-based mortality and survey-based disability and risk factor data from 15 European countries covering the period 2010-14 for most countries. We calculated years with disability between the ages of 35 and 80 by education and gender using the Sullivan method, and determined the hypothetical effect of changing the prevalence of each risk factor to the prevalence observed among high educated ('upward levelling scenario'), using Population Attributable Fractions. RESULTS: Years with disability among low educated were higher than among high educated, with a difference of 4.9 years among men and 5.5 years among women for all countries combined. Most risk factors were more prevalent among low educated. We found the largest contributions to inequalities in years with disability for low income (men: 1.0 year; women: 1.4 year), high body-weight (men: 0.6 year; women: 1.2 year) and father's manual occupation (men: 0.7 year; women: 0.9 year), but contributions differed by country. The contribution of smoking was relatively small. CONCLUSIONS: Disadvantages in material circumstances (low income), circumstances during childhood (father's manual occupation) and high body-weight contribute to inequalities in years with disability.

[Homeless patients in Rotterdam with a need for medical care: data from the Rotterdam Street Doctors' office in the years 2006-2017]. / Rotterdamse daklozen met een zorgvraag.

OBJECTIVE: To describe the demographic and medical characteristics and changes of the patients who visit the Rotterdam Street Doctors' office hours. DESIGN: Retrospective study of registered patient contacts from 2006-2017. METHOD: Street doctors registered age, gender and ICPC diagnoses of patients in a GP information system. The characteristics of these patients have been analysed for three periods of four years: 2006-2009, 2010-2013, 2014-2017. For each of these periods, the number of individual patients visiting the Rotterdam Street Doctors' office hours at least once, have been documented. Data from the period 2014-2017, have been used to describe characteristics of homeless patients and have been compared with a regular GP practice. RESULTS: At the street doctors' office, patients with mental problems are most often documented, followed by patients with heart diseases and endocrine problems. Serious illnesses that require extra care are registered , such as drug and alcohol addiction, HIV, tuberculosis and hepatitis C. Patients with mental problems and trauma have a larger share at the street doctor's office than in a regular GP practice. The proportion of women has increased since 2006 as has the proportion of elderly patients. The proportion of patients with documented needs for cardiovascular diseases (in particular hypertension), endocrine disorders (in particular diabetes and thyroid diseases) and cancer has increased. CONCLUSION: A relatively large part of the patient contacts at the street doctor's office is devoted to mental problems and trauma. As the proportion of patients with chronic diseases and risk factors is rising, street doctor care seems to move towards regular care. But extra care for serious classical illnesses among the homeless is still necessary.