Determinants of inequalities in life expectancy: an international comparative study of eight risk factors

Comparing Life Expectancy Determinants Between Indonesia and Oman from 1980 to 2020

Life expectancy (LE) is a health indicator of a population's health and well-being. Modeling the trajectory of LE aligns with the objectives of Indonesia's Vision 2045 and Oman's Vision 2040. This study examines the influence of health status-resources (HSR), macroeconomic (ME), and sociodemographic (SD) factors on LE in Indonesia and Oman. These two nations navigate the challenges of the middle-income trap in the Organization of Islamic Cooperation. This study adopted a national-scale population-based approach that focuses on retrospective observations. We used partial least square structural equation models with World Bank data from 1980 to 2020 to analyze the relationship between the mentioned factors and the LE of Oman and Indonesia. For Indonesia's model, the results showed that ME has a total effect of β = 0.737 (p < 0.05) on LE, SD has a total effect of β = 0.675 (p < 0.05) on LE, and HSR has a total effect of β = 0.823 (p < 0.05) on LE. In Oman's model, ME has a total effect of β = 0.848 (p < 0.05) on LE, SD has a total effect of β = 0.755 (p < 0.05) on LE, and HSR has a total effect of β = 0.335 (p < 0.05) on LE. The findings underscore the need for policies that meld health and societal perspectives to improve public health in both nations. A shift in public health interventions and perceptions towards socioeconomic well-being and societal issues is pivotal for advancing LE growth, potentially steering these countries from the middle-income trap.

Trends in Life Expectancy in Residential Long-Term Care by Sociodemographic Position in 1999-2018: A Multistate Life Table Study of Finnish Older Adults

OBJECTIVES

Residential long-term care (LTC) use has declined in many countries over the past years. This study quantifies how changing rates of entry, exit, and mortality have contributed to trends in life expectancy in LTC (i.e., average time spent in LTC after age 65) across sociodemographic groups.

METHODS

We analyzed population-register data of all Finns aged ≥65 during 1999-2018 (n = 2,016,987) with dates of LTC and death and sociodemographic characteristics. We estimated transition rates between home, LTC, and death using Poisson generalized additive models, and calculated multistate life tables across 1999-2003, 2004-2008, 2009-2013, and 2014-2018.

RESULTS

Between 1999-2003 and 2004-2008, life expectancy in LTC increased from 0.75 (95% CI: 0.74-0.76) to 0.89 (95% CI: 0.88-0.90) years among men and from 1.61 (95% CI: 1.59-1.62) to 1.83 (95% CI: 1.81-1.85) years among women, mainly due to declining exit rates from LTC. Thereafter, life expectancy in LTC decreased, reaching 0.80 (95% CI: 0.79-0.81) and 1.51 (95% CI: 1.50-1.53) years among men and women, respectively, in 2014-2018. Especially among women and nonmarried men, the decline was largely due to increasing death rates in LTC. Admission rates declined throughout the study period, which offset the increase in life expectancy in LTC attributable to declining mortality in the community. Marital status differences in life expectancy in LTC narrowed over time.

DISCUSSION

Recent declines in LTC use were driven by postponed LTC admission closer to death. The results suggest that across sociodemographic strata older adults enter LTC in even worse health and spend a shorter time in care than before.

Beyond objective metrics: A comparative analysis of health care systems incorporating subjective dimensions to improve comparability of access and equity in healthcare assessments

Comparing health care systems is important for several reasons. E.g. lower-resource health care systems can learn from higher-resource ones, and country-specific progress can be made. Previous rankings of health care systems have been based on objective factors such as the number of available hospital beds or health care spending. An index is considered here that includes a subjective level that is intended to represent access to the health care system. Therefore, this study investigates the divergence between subjective and objective indices related to health care expenditure, with a focus on the influence of involuntary and voluntary payments. Utilizing the Rational Choice Theory as a framework, it explores how individual preferences and perceived benefits affect these indices. The analysis reveals that social insurance contributions, which are mandatory and beyond individual control, are evaluated differently in subjective indices compared to objective indices. This discrepancy is less pronounced for voluntary expenditures, where individuals have decision-making power. The findings highlight significant variations in the correlations between macroeconomic health care indicators and the indices, emphasizing the critical role of autonomy in financial decisions related to health care.

Putting the exposome into practice: An analysis of the promises, methods and outcomes of the European human exposome network

OBJECTIVES

Contemporary research on the exposome, i.e. the sum of all the exposures an individual encounters throughout life and that may influence human health, bears the promise of an integrative and policy-relevant research on the effect of environment on health. Critical analyses of the first generation of exposome projects have voiced concerns over their actual breadth of inclusion of environmental factors and a related risk of molecularization of public health issues. The emergence of the European Human Exposome Network (EHEN) provides an opportunity to better situate the ambitions and priorities of the exposome approach on the basis of new and ongoing research.

METHODS

We assess the promises, methods, and limitations of the EHEN, as a case study of the second generation of exposome research. A critical textual analysis of profile articles from each of the projects involved in EHEN, published in Environmental Epidemiology, was carried out to derive common priorities, innovations, methodological and conceptual choices across EHEN and to discuss it.

RESULTS

EHEN consolidates its integrative outlook by reinforcing the volume and variety of data, its data analysis infrastructure and by diversifying its strategies to deliver actionable knowledge. Yet data-driven limitations severely restrict the geographical and political scope of this knowledge to health issues primarily related to urban setups, which may aggravate some socio-spatial inequalities in health in Europe.

CONCLUSIONS

The second generation of exposome research doubles down on the initial ambition of an integrative study of the environmental effects of health to fuel better public health interventions. This intensification is, however, accompanied by significant epistemological challenges and doesn't help to overcome severe restrictions in the geographical and political scope of this knowledge. We thus advocate for increased reflexivity over the limitations of this conceptually and methodologically integrative approach to public and environmental health.

Prevalence and Co-Occurrence of Psychiatric Conditions Among Bereaved Adults

Importance

Rates of grief-related psychiatric conditions, such as prolonged grief disorder (PGD), posttraumatic stress disorder (PTSD), and major depressive disorder (MDD), among bereaved adults in the US are largely unknown due to limited studies that leverage national samples.

Objective

To assess risk factors for and prevalence rates and co-occurrence of PGD, PTSD, and MDD among bereaved adults in the US.

Design, Setting, and Participants

Data for this survey study were collected from a large US panel sample between October 10 and 28, 2022, using a web-based survey. Participants were aged 18 years or older and were proficient in English. Data analysis was conducted between March and June 2023.

Main Outcomes and Measures

Probable psychiatric conditions were assessed with validated measures that used conservative cutoff scores, duration, and impairment criteria. These measures included the revised Prolonged Grief Disorder scale for PGD, the PTSD Checklist for DSM-5 for PTSD, and the Patient Health Questionnaire-9 for MDD. Data were analyzed using basic descriptives and logistic regression.

Results

A total of 2034 adults (n = 1529 and 505 in the bereaved and comparison groups, respectively) completed the study. Respondents had a mean (SD) age of 40.7 (15.9) years; the majority were women (1314 [64.6%]) and had at least some college experience (1394 [68.5%]). With regard to race and ethnicity, 392 respondents (19.3%) were Black, 138 (6.8%) were Hispanic, and 1357 (66.7%) were White. Among bereaved adults, 312 (20.4%), 518 (33.9%), and 461 (30.2%) met criteria for a presumptive diagnosis of PGD, PTSD, and MDD, respectively. Comorbidities were common, with 441 participants (28.8%) meeting criteria for at least 2 co-occurring disorders. Comorbid PGD, PTSD, and MDD were more common than any 2 co-occurring or isolated disorders; the presence of co-occurring conditions was more likely among respondents who reported a traumatic loss. Age and educational attainment were associated with the risk of psychiatric conditions; less time since the index death, loss of a psychologically close other, and a traumatic loss experience were associated with increased risk of PGD, PTSD, and MDD or their co-occurrence.

Conclusions and Relevance

In this study, the majority of bereaved adults did not meet presumptive criteria for PGD, PTSD, or MDD. Nevertheless, PGD, PTSD, and MDD were highly prevalent and comorbid, particularly among those who experienced traumatic loss. These findings underscore the need for integrated psychological care that leverages transdiagnostic mechanisms of evidence-based practice.

Health literacy in cancer care: A systematic review

PURPOSE

Health literacy (HL) is a set of knowledge and skills that enables individuals to interpret and act upon health information, which is essential for health equity. There is a growing body of evidence in the field of HL in cancer care but there is, to our knowledge, no systematic review that explores the association between sociodemographic factors and HL among patients with cancer. The aim of this study was therefore to conduct a systematic review of the existing literature that assesses HL levels and the relationship between HL and sociodemographic factors in an adult cancer population.

METHODS

This is a systematic review and its protocol was registered in PROSPERO (ID: CRD42021164071). The study was conducted in accordance with the PRISMA statement. The literature search, from December 2009 to September 2023, was made in six databases, AMED, CINAHL, Embase, MEDLINE, PsycINFO, and Web of Science Core Collection.

RESULTS

Fifteen studies were included in the review. The included studies used nine different measurement tools for assessing HL. In the included studies between 11.9 % and 86 % had limited HL. We identified a relationship between limited HL and annual income, education level, ethnicity, living in rural areas and multiple comorbidities.

CONCLUSION

The results indicate that limited HL is prevalent in the cancer population and should be acknowledge in everyday practice to meet health equity. Our awareness about sociodemographic factors and its association with HL, may enhance adherence to cancer treatment and quality of life, and lower physical and emotional distress.

Inequalities in the Prevention and Treatment of Alzheimer Disease

Incidence of Alzheimer disease (AD) is going to rise in the next years and to become a health and social emergency. The prevention and the therapeutic management of AD still present unmet needs worldwide. The recent approval of monoclonal antibodies against amyloid β (anti-Aβ mAbs) for AD has increased the level of uncertainty regarding on how such drugs should be administered, to whom, and for how long. Concerns about cost-effectiveness ratios of anti-Aβ mAbs and the need for actual strategies of risk prevention have further dug barriers of inequalities between the national health care systems. Planning research to address questions on the real feasibility of the correct therapeutic management, improving international cooperation on surveillance of risk factors, implementing pathways for timely diagnosis, and effective medical and social support for patients with AD worldwide would be extremely valuable to fight against this upcoming pandemic.

Social inequality in prevalence of NCD risk factors: a cross-sectional analysis from the population-based Tromsø Study 2015-2016

OBJECTIVE

We aimed to examine associations between educational level, serving as an indicator of socioeconomic position, and prevalence of WHO-established leading behavioural and biological risk factors for non-communicable diseases (NCDs), in middle-aged to older women and men.

DESIGN

Population-based cross-sectional study.

SETTING

All inhabitants of the municipality of Tromsø, Norway, aged ≥40 years, were invited to the seventh survey (2015-2016) of the Tromsø Study; an ongoing population-based cohort study.

PARTICIPANTS

Of the 32 591 invited; 65% attended, and a total of 21 069 women (53%) and men aged 40-99 years were included in our study.

OUTCOME MEASURES

We assessed associations between educational level and NCD behavioural and biological risk factors: daily smoking, physical inactivity (sedentary in leisure time), insufficient fruit/vegetable intake (<5 units/day), harmful alcohol use (>10 g/day in women, >20 g/day in men), hypertension, obesity, intermediate hyperglycaemia and hypercholesterolaemia. These were expressed as odds ratios (OR) per unit decrease in educational level, with 95% CIs, in women and men.

RESULTS

In women (results were not significantly different in men), we observed statistically significant associations between lower educational levels and higher odds of daily smoking (OR 1.69; 95% CI 1.60 to 1.78), physical inactivity (OR 1.38; 95% CI 1.31 to 1.46), insufficient fruit/vegetable intake (OR 1.54, 95% CI 1.43 to 1.66), hypertension (OR 1.25; 95% CI 1.20 to 1.30), obesity (OR 1.23; 95% CI 1.18 to 1.29), intermediate hyperglycaemia (OR 1.12; 95% CI 1.06 to 1.19), and hypercholesterolaemia (OR 1.07; 95% CI 1.03 to 1.12), and lower odds of harmful alcohol use (OR 0.75; 95% CI 0.72 to 0.78).

CONCLUSION

We found statistically significant educational gradients in women and men for all WHO-established leading NCD risk factors within a Nordic middle-aged to older general population. The prevalence of all risk factors increased at lower educational levels, except for harmful alcohol use, which increased at higher educational levels.

Opportunistic screening for COPD among socially marginalized patients

BACKGROUND

Chronic obstructive pulmonary disease (COPD) is a common disease associated with premature death. Tobacco exposure is the main risk factor, but lower socioeconomic status, early life insults, and occupational exposures are also important risk factors. Socially marginalized people, facing homelessness, substance use disorder, and mental illness, are likely to have a higher risk of developing COPD, and, furthermore, experience barriers to healthcare access and consequently poorer outcomes.

OBJECTIVE

This study aims to assess COPD prevalence and the impact of opportunistic screening among hospitalized patients who are in contact with hospital social nurses. These patients constitute a group of patients with a high prevalence of psychiatric and somatic diseases, substance use, low life expectancy, and are socially marginalized.

METHODS

The present prospective longitudinal study includes a clinical examination at baseline. Participants will have spirometry done and be interviewed regarding risk factors, socioeconomic conditions, and respiratory symptoms. The 5-year follow-up assessment incorporates data from baseline and register data over the 5 years, including information on morbidity, use of COPD medication, hospital contacts, mortality, and socioeconomic factors.

ANTICIPATED RESULTS

Referral for further diagnostic work-up and management after the screening, including COPD treatment and smoking cessation support, is expected to improve survival rates. The study is still enrolling patients.

TRIAL REGISTRATION

The study is registered at ClinicalTrials.gov , NCT04754308 with study status: "enrolling".

Socio-economic inequalities in smoking and drinking in adolescence: Assessment of social network dynamics

AIMS

We investigated whether (1) adolescents selected friends with a similar socio-economic status (SES), (2) smoking and alcohol consumption spread in networks and (3) the exclusion of non-smokers or non-drinkers differed between SES groups.

DESIGN

This was a longitudinal study using stochastic actor-oriented models to analyze complete social network data over three waves.

SETTING

Eight Hungarian secondary schools with socio-economically diverse classes took part.

PARTICIPANTS

This study comprised 232 adolescents aged between 14 and 15 years in the first wave.

MEASUREMENTS

Self-reported smoking behavior, alcohol consumption behavior and friendship ties were measured. SES was measured based upon entitlement to an income-tested regular child protection benefit.

FINDINGS

Non-low-SES adolescents were most likely to form friendships with peers from their own SES group [odds ratio (OR) = 1.07, 95% confidence interval (CI) = 1.02-1.11]. Adolescents adjusted their smoking behavior (OR = 24.05, 95% CI = 1.27-454.86) but not their alcohol consumption (OR = 1.65, 95% CI = 0.62-4.39) to follow the behavior of their friends. Smokers did not differ from non-smokers in the likelihood of receiving a friendship nomination (OR = 0.98, 95% CI = 0.87-1.10), regardless of their SES. Alcohol consumers received significantly more friendship nominations than non-consumers (OR = 1.16, 95% CI = 1.01-1.33), but this association was not significantly different according to SES.

CONCLUSIONS

Hungarian adolescents appear to prefer friendships within their own socio-economic status group, and smoking and alcohol consumption spread within those friendship networks. Socio-economic groups do not differ in the extent to which they encourage smoking or alcohol consumption.

Income and professional inequalities in chronic diseases: prevalence and incidence in France

OBJECTIVES

In France, almost nine of 10 deaths are caused by non-communicable diseases, and there is significant social inequality in mortality rates. However, it is not easy to collect robust data on the incidence and prevalence of such diseases according to socio-economic status. Based on data from the link between the primary longitudinal population sample and the national health data system, the aim of our study was to compute the standardised incidence and prevalence of seven major groups of chronic diseases according to socio-economic status.

STUDY DESIGN

Descriptive retrospective cohort study.

METHODS

This was a descriptive retrospective cohort study on a weighted representative sample of the French population, comprising 3.4 million individuals from data collected 2016-2017. Main chronic disease categories include diabetes, cancers, psychiatric disorders, liver and pancreatic diseases, neurological conditions, respiratory and cardiovascular diseases, calculated from the 2016-2017 period by combining health care consumption and diagnoses received during hospitalisations and/or associated with specific full healthcare coverage. Socio-economic status was measured by disposable income from the 2013-2014 tax returns and census-derived socioprofessional groups, and findings were standardised for age and sex.

RESULTS

For all disease categories except cancers, standardised incidence rates showed a gradient favouring the wealthiest, with a risk ratio between the first and tenth standard of living deciles ranging from 1.4 (cardiovascular diseases) to 2.8 (diabetes). Incidence of all disease categories, except cancers, was higher for all groups compared with executives and higher academic professions (risk ratios between workers and executives ranged from 2.0 to 1.3 in psychiatric and cardiovascular diseases, respectively). Conversely, cancer incidence rate followed a flat curve, reduced in the two poorest standard of living deciles, and there were no significant differences between socioprofessional groups. Standardised prevalence rates followed the same patterns, although risk ratios were highest for psychiatric diseases, varying according to sex and disease.

CONCLUSIONS

Deep social inequalities in incidence and prevalence of chronic diseases were observed in a large representative sample of the French population. The reverse social inequalities in cancer incidence and prevalence calls for more detailed research into cancer types and selection mechanisms, the data from which would allow the long-term monitoring of such disparities.

The combined effect of socioeconomic position and C-reactive protein for predicting incident cardiometabolic disease: Findings from a 14-year follow-up study of the English Longitudinal Study of Ageing (ELSA)

Cardiovascular disease and diabetes are leading causes of morbidity and mortality worldwide. Social inequalities in the distribution of these diseases across the population exist. The aim of the current study was to examine the additive effect of socioeconomic position and a known biological risk marker (C-reactive protein [CRP]) for future incident cardiometabolic disease. We used data from the English Longitudinal Study of Ageing (N = 5410). Tertiles of net financial wealth and CRP (>3 mg/L) were measured at wave 2 (2004/05) and disease incidence (coronary heart disease [CHD], stroke, diabetes/high blood glucose) was reported across the subsequent 14 years of follow-up (2006-2019). Individual diseases were modelled as well as cardiometabolic multimorbidity which was defined as 2 or more incident cardiometabolic disease diagnoses over follow-up. Participants were free from the disease of interest at baseline. Cox proportional hazard and logistic regression analyses were used controlling for sociodemographic, lifestyle and health-related covariates. After adjusting for all covariates, the combination of low wealth and elevated CRP was an independent predictor of incident diabetes/high blood glucose (Hazard Ratio (HR) = 2.14; 95% Confidence Interval (C.I.) = 1.49-3.07), CHD (HR = 2.48, 95% C.I. = 1.63-3.76), stroke (HR = 1.55; 95% C.I. = 1.18-2.04), relative to high wealth/low CRP. Low wealth and elevated CRP was also an independent predictor of incident cardiometabolic multimorbidity (Odds Ratio = 2.22, 95% C.I. = 1.16-4.28) in age and sex adjusted models. The presence of both low wealth and elevated CRP was implicated in the onset of CHD, stroke, diabetes/high blood glucose, and cardiometabolic multimorbidity up to 14 years later, reflecting the role of psychobiological processes in predicting disease burden. Our results reinforce calls for efforts to tackle structural inequalities to improve healthy ageing trajectories.

Educational patterns of health behaviors and body mass index: A longitudinal multiple correspondence analysis of a middle-aged general population, 2007-2016

Social differences in body mass index and health behaviors are a major public health challenge. The uneven distribution of unhealthy body mass index and of unhealthy behaviors such as smoking, physical inactivity, and harmful alcohol consumption has been shown to mediate social inequalities in chronic diseases. While differential exposures to these health variables have been investigated, the extent to which they vary over the lifetime in the same population and their relationship with level of education is not well understood. This study examines patterns of body mass index and multiple health behaviors (smoking, physical activity and alcohol consumption), and investigates their association with education level among adults living in Northern Norway. It presents findings from a longitudinal multiple correspondence analysis of the Tromsø Study. Longitudinal data from 8,906 adults aged 32-87 in 2007-2008, with repeated measurements in 2015-2016 were retrieved from the survey's sixth and seventh waves. The findings suggest that most in the study population remained in the same categories of body mass index and the three health behaviors at the follow-up, with a clear educational gradient in healthy patterns. That is, both healthy changes and maintained healthy categories were associated with the highest education levels. Estimating differential exposures to mediators of health inequalities could benefit policy priority setting for tackling inequalities in health.

Unhealthy lifestyles and regional differences in life expectancy in Russia

OBJECTIVES

The study seeks to identify the impact of smoking, sports participation, and alcohol consumption on life expectancy of men and women in Russian regions.

STUDY DESIGN

We use official data for 2014-2020 for 77 Russian regions. We estimate factors related to life expectancy separately for men and women to account for differences in their life expectancy and lifestyles.

METHODS

We run fixed-effect models to estimate regional life expectancy depending on smoking, alcohol consumption, sport participation, healthcare characteristics, and demographical and economic factors.

RESULTS

Life expectancy was negatively associated with alcohol consumption and smoking and positively with sport participation: a 1-L increase in alcohol consumption was attributed to a 1.6-month decrease in male life expectancy and to a 1.8-month decrease in female life expectancy. If the proportion of smoking women was halved, the increase in woman's life expectancy would be 4.6 months. If sports participation rates were doubled for men and women, the expected increase in their life expectancy would be 1 and 0.9 years, respectively. Other factors attributed to life expectancy were settlement type, income inequality, characteristics of regional healthcare systems, and the COVID-19 pandemic.

CONCLUSION

We find significant variation in life expectancy across Russian regions that can be partly explained by unhealthy lifestyles. We suggest that policies aimed at improving national health in diverse countries such as Russia adjust healthy lifestyle measures to the needs of particular region.

Equal in ashes? Exploring socioeconomic inequalities in lifespan based on obituary data in Austria

Understanding the emergence of and changes in socioeconomic inequalities in lifespan requires reliable, longitudinal data. In the absence of administrative data, published obituaries may be one such alternative source. With the validity of drawing relevant data from obituaries not yet established in population health research, this study addresses this gap by estimating socioeconomic inequalities in lifespan in Vorarlberg, Austria. Data for all individuals (n = 1490) with obituaries published (July to December 2022) in a regional newspaper (market share: 56%) were extracted, including different markers of the deceased's socioeconomic status. Linear regression analyses showed that, on average, individuals with medium-sized obituaries lived 6.02 years (95% CI: 4.19, 7.85) and individuals with the largest obituaries 12.04 years (95% CI: 7.04, 17.04) longer than individuals with small obituaries while blue-collar workers lived 10.50 years (95% CI: -14.51, -6.49) shorter than individuals with no occupation (reported). This socioeconomic gradient is in line with findings based on national data sources, and comparisons with official regional data are promising regarding data representativeness and completeness. With obituary size reflecting different costs (€210-€1626) and thus being a novel marker for financial ability, obituaries could also be a useful, innovative data source internationally for historical analyses or "nowcasting" health inequalities.

Trends in cause-specific mortality: deaths of despair in Spain, 1980-2019

BACKGROUND

Research from various countries has shown increases in alcohol- and drug-related deaths and suicide, known as 'deaths of despair' over recent decades, particularly among low-educated middle-aged individuals. However, little is known about trends in death-of-despair causes in Spain. Therefore, we aim to descriptively examine this among 25-64-year-olds from 1980 to 2019 and by educational attainment for the years 2017-19.

METHODS

We obtained mortality and population data from the National Institute of Statistics to estimate age-standardized mortality rates and assess educational inequalities using the relative index of inequality (RII).

RESULTS

Deaths of despair as a share of total mortality slightly increased from 2000 onwards, particularly among 25-64-year-old men (from 9 to 10%). Only alcohol-related mortality declined relatively more since 1980 compared with all-cause mortality. Regarding educational differences, low-educated men presented higher mortality rates in all death-of-despair causes (alcohol-related: RII 3.54 (95% CI: 2.21-5.66); drug-related: RII 3.49 (95% CI: 1.80-6.77); suicide: RII 1.97 (95% CI: 1.49-2.61)). Women noteworthy differences were only observed for alcohol-related (RII 3.50 (95% CI: 2.13-5.75)).

CONCLUSIONS

Findings suggest an increasing proportion of deaths of despair among 25-64-year-olds since 2000, particularly among men. Public health policies are needed to reduce and prevent these premature and preventable causes of mortality.

Health equity for persons with disabilities: a global scoping review on barriers and interventions in healthcare services

BACKGROUND

Persons with disabilities experience health inequities in terms of increased mortality, morbidity, and limitations in functioning when compared to the rest of the population. Many of the poor health outcomes experienced by persons with disabilities cannot be explained by the underlying health condition or impairment, but are health inequities driven by unfair societal and health system factors. A synthesis of the global evidence is needed to identify the factors that hinder equitable access to healthcare services for persons with disabilities, and the interventions to remove these barriers and promote disability inclusion.

METHODS

We conducted a scoping review following the methodological framework proposed by Arksey and O'Malley, Int J Soc Res Methodol 8:19-32. We searched two scholarly databases, namely MEDLINE (Ovid) and Web of Science, the websites of Organizations of Persons with Disabilities and governments, and reviewed evidence shared during WHO-led consultations on the topic of health equity for persons with disabilities. We included articles published after 2011 with no restriction to geographical location, the type of underlying impairments or healthcare services. A charting form was developed and used to extract the relevant information for each included article.

RESULTS

Of 11,884 articles identified in the search, we included 182 articles in this review. The majority of sources originated from high-income countries. Barriers were identified worldwide across different levels of the health system (such as healthcare costs, untrained healthcare workforces, issues of inclusive and coordinated services delivery), and through wider contributing factors of health inequities that expand beyond the health system (such as societal stigma or health literacy). However, the interventions to promote equitable access to healthcare services for persons with disabilities were not readily mapped onto those needs, their sources of funding and projected sustainability were often unclear, and few offered targeted approaches to address issues faced by marginalized groups of persons with disabilities with intersectional identities.

CONCLUSION

Persons with disabilities continue to face considerable barriers when accessing healthcare services, which negatively affects their chances of achieving their highest attainable standard of health. It is encouraging to note the increasing evidence on interventions targeting equitable access to healthcare services, but they remain too few and sparce to meet the populations' needs. Profound systemic changes and action-oriented strategies are warranted to promote health equity for persons with disabilities, and advance global health priorities.

Associations of Fatty Liver Disease With Recovery After Traumatic Injury

INTRODUCTION

Fatty liver disease (FLD) is associated with systemic inflammation, metabolic disease, and socioeconomic risk factors for poor health outcomes. Little is known on how adults with FLD recover from traumatic injury.

METHODS

We studied adults admitted to the intensive care unit of a level 1 trauma center (2016-2020), excluding severe head injury/cirrhosis (N = 510). We measured the liver-spleen attenuation difference in Hounsfield units (HUL-S) using virtual noncontrast computerized tomography scans: none (HUL-S>1), mild (-10≤HUL-S<1), moderate/severe (HUL-S < -10). We used Cox models to examine the "hazard" of recovery from systemic inflammatory response (SIRS score 2 or higher) organ dysfunction, defined as sequential organ failure assessment score 2 or higher, and lactate clearance (<2 mmol/L) in relation to FLD.

RESULTS

Fifty-one participants had mild and 29 had moderate/severe FLD. The association of FLD with recovery from SIRS differed according to whether an individual had shock on admission (hazard ratio [HR] = 0.76; 95% confidence interval [CI] 0.55-1.05 with shock; HR = 1.81; 95% CI 1.43-2.28 without shock). Compared to patients with no FLD, the hazard of lactate clearance was similar for mild FLD (HR = 1.04; 95% CI 0.63-1.70) and lower for moderate/severe FLD (HR = 0.40; 95% CI 0.18-0.89).

CONCLUSIONS

FLD is common among injured adults. Associations of FLD with outcomes after shock and critical illness warrant further study.

An overview of facilitators and barriers in the development of eHealth interventions for people of low socioeconomic position: A Delphi study

OBJECTIVE

eHealth interventions can improve the health outcomes of people with a low socioeconomic position (SEP) by promoting healthy lifestyle behaviours. However, developing and implementing these interventions among the target group can be challenging for professionals. To facilitate the uptake of effective interventions, this study aimed to identify the barriers and facilitators anticipated or experienced by professionals in the development, reach, adherence, implementation and evaluation phases of eHealth interventions for people with a low SEP.

METHOD

We used a Delphi method, consisting of two online questionnaires, to determine the consensus on barriers and facilitators anticipated or experienced during eHealth intervention phases and their importance. Participants provided open-ended responses in the first round and rated statements in the second round. The interquartile range was used to calculate consensus, and the (totally) agree ratings were used to assess importance.

RESULTS

Twenty-seven professionals participated in the first round, and 19 (70.4%) completed the second round. We found a consensus for 34.8% of the 46 items related to highly important rated barriers, such as the lack of involvement of low-SEP people in the development phase, lack of knowledge among professionals about reaching the target group, and lack of knowledge among lower-SEP groups about using eHealth interventions. Additionally, we identified a consensus for 80% of the 60 items related to highly important rated facilitators, such as rewarding people with a low SEP for their involvement in the development phase and connecting eHealth interventions to the everyday lives of lower-SEP groups to enhance reach.

CONCLUSION

Our study provides valuable insights into the barriers and facilitators of developing eHealth interventions for people with a low SEP by examining current practices and offering recommendations for future improvements. Strengthening facilitators can help overcome these barriers. To achieve this, we recommend defining the roles of professionals and lower-SEP groups in each phase of eHealth intervention and disseminating this study's findings to professionals to optimize the impact of eHealth interventions for this group.

Spatiotemporal evolution and characteristics of worldwide life expectancy

Exploring global differences in life expectancy can facilitate the development of strategies to narrow regional disparities. However, few researchers have systematically examined patterns in the evolution of worldwide life expectancy over a long time period. Spatial differences among 181 countries in 4 types of worldwide life expectancy patterns from 1990 to 2019 were investigated via geographic information system (GIS) analysis. The aggregation characteristics of the spatiotemporal evolution of life expectancy were revealed by local indicators of spatial association. The analysis employed spatiotemporal sequence-based kernel density estimation and explored the differences in life expectancy among regions with the Theil index. We found that the global life expectancy progress rate shows upward then downward patterns over the last 30 years. Female have higher rates of spatiotemporal progression in life expectancy than male, with less internal variation and a wider spatial aggregation. The global spatial and temporal autocorrelation of life expectancy shows a weakening trend. The difference in life expectancy between male and female is reflected in both intrinsic causes of biological differences and extrinsic causes such as environment and lifestyle habits. Investment in education pulls apart differences in life expectancy over long time series. These results provide scientific guidelines for obtaining the highest possible level of health in countries around the world.

Mendelian randomization evidence for the causal effects of socio-economic inequality on human longevity among Europeans

Human longevity correlates with socio-economic status, and there is evidence that educational attainment increases human lifespan. However, to inform meaningful health policies, we need fine-grained causal evidence on which dimensions of socio-economic status affect longevity and the mediating roles of modifiable factors such as lifestyle and disease. Here we performed two-sample Mendelian randomization analyses applying genetic instruments of education, income and occupation (n = 248,847 to 1,131,881) to estimate their causal effects and consequences on parental lifespan and self-longevity (n = 28,967 to 1,012,240) from the largest available genome-wide association studies in populations of European ancestry. Each 4.20 years of additional educational attainment were causally associated with a 3.23-year-longer parental lifespan independently of income and occupation and were causally associated with 30-59% higher odds of self-longevity, suggesting that education was the primary determinant. By contrast, each one-standard-deviation-higher income and one-point-higher occupation was causally associated with 3.06-year-longer and 1.29-year-longer parental lifespans, respectively, but not independently of the other socio-economic indicators. We found no evidence for causal effects of income or occupation on self-longevity. Mediation analyses conducted in predominantly European-descent individuals through two-step Mendelian randomization suggested that among 59 candidates, cigarettes per day, body mass index, waist-to-hip ratio, hypertension, coronary heart disease, myocardial infarction, stroke, Alzheimer's disease, type 2 diabetes, heart failure and lung cancer individually played substantial mediating roles (proportion mediated, >10%) in the effect of education on specific longevity outcomes. These findings inform interventions for remediating longevity disparities attributable to socio-economic inequality.

Intergenerational educational trajectories and inequalities in longevity: A population-based study of adults born before 1965 in 14 European countries

Background

While educational gradients in longevity have been observed consistently in adult Europeans, these inequalities have been understudied within the context of family- and country-level influences. We utilized population-based multi-generational multi-country data to assess the role (1) of parental and individual education in shaping intergenerational inequalities in longevity, and (2) of country-level social net expenditure in mitigating these inequalities.

Methods

We analyzed data from 52,271 adults born before 1965 who participated in the Survey of Health, Ageing and Retirement in Europe, comprising 14 countries. Mortality from all causes (outcome) was ascertained between 2013 and 2020. Educational trajectories (exposure) were High-High (reference), Low-High, High-Low, and Low-Low, corresponding to the sequence of parental-individual educational attainment. We quantified inequalities as years of life lost (YLL) between the ages of 50 and 90 estimated via differences in the area under standardized survival curves. We assessed the association between country-level social net expenditure and YLL via meta-regression.

Results

Inequalities in longevity due to educational trajectories were associated with low individual education regardless of parental education. Compared to High-High, having High-Low and Low-Low led to 2.2 (95% confidence intervals: 1.0 to 3.5) and 2.9 (2.2 to 3.6) YLL, while YLL for Low-High were 0.4 (-0.2 to 0.9). A 1% increase in social net expenditure led to an increase of 0.01 (-0.3 to 0.3) YLL for Low-High, 0.007 (-0.1 to 0.2) YLL for High-Low, and a decrease of 0.02 (-0.1 to 0.2) YLL for Low-Low.

Conclusion

In European countries, individual education could be the main driver of inequalities in longevity for adults older than 50 years of age and born before 1965. Further, higher social expenditure is not associated with smaller educational inequalities in longevity.

Inequality in quality-adjusted life expectancy by educational attainment in Norway: an observational study

BACKGROUND

Health inequalities are often assessed in terms of life expectancy or health-related quality of life (HRQoL). Few studies combine both aspects into quality-adjusted life expectancy (QALE) to derive comprehensive estimates of lifetime health inequality. Furthermore, little is known about the sensitivity of estimated inequalities in QALE to different sources of HRQoL information. This study assesses inequalities in QALE by educational attainment in Norway using two different measures of HRQoL.

METHODS

We combine full population life tables from Statistics Norway with survey data from the Tromsø study, a representative sample of the Norwegian population aged ≥ 40. HRQoL is measured using the EQ-5D-5L and EQ-VAS instruments. Life expectancy and QALE at 40 years of age are calculated using the Sullivan-Chiang method and are stratified by educational attainment. Inequality is measured as the absolute and relative gap between individuals with lowest (i.e. primary school) and highest (university degree 4 + years) educational attainment.

RESULTS

People with the highest educational attainment can expect to live longer lives (men: + 17.9% (95%CI: 16.4 to 19.5%), women: + 13.0% (95%CI: 10.6 to 15.5%)) and have higher QALE (men: + 22.4% (95%CI: 20.4 to 24.4%), women: + 18.3% (95%CI: 15.2 to 21.6%); measured using EQ-5D-5L) than individuals with primary school education. Relative inequality is larger when HRQoL is measured using EQ-VAS.

CONCLUSION

Health inequalities by educational attainment become wider when measured in QALE rather than LE, and the degree of this widening is larger when measuring HRQoL by EQ-VAS than by EQ-5D-5L. We find a sizable educational gradient in lifetime health in Norway, one of the most developed and egalitarian societies in the world. Our estimates provide a benchmark against which other countries can be compared.

Regional Well-Being Disparities in Morocco and its OECD Partners

This article proposes a multidimensional analysis grid to assess regional disparities, transcending monetary considerations. This grid agrees overall with the common framework that prevails in the literature review that we have carried out. It is built around four dimensions of well-being: economy (development, labor market, human capital and innovation), social (health, living conditions and gender), environment and governance. Our analysis of regional disparities was based on the synthesis of fifteen indicators by constructing a Synthetic Index of Well-being (SIWB) by combining its four dimensions using an aggregative-compensative approach. This analysis covers Morocco, 35 of the OECD member countries and their 389 regions between 2000 and 2019. We have assessed the dynamics of Moroccan regions compared to those of the benchmark. Thus, we have highlighted the gaps to be made up in relation to the different areas of well-being as well as their thematic variations.

Clustering of adverse health and educational outcomes in adolescence following early childhood disadvantage: population-based retrospective UK cohort study

BACKGROUND

Disadvantage in early childhood (ages 0-5 years) is associated with worse health and educational outcomes in adolescence. Evidence on the clustering of these adverse outcomes by household income is scarce in the generation of adolescents born since the turn of the millennium. We aimed to describe the association between household income in early childhood and physical health, psychological distress, smoking behaviour, obesity, and educational outcomes at age 17 years, including the patterning and clustering of these five outcomes by income quintiles.

METHODS

In this population-based, retrospective cohort study, we used data from the Millennium Cohort Study in which individuals born in the UK between Sept 1, 2000, and Jan 1, 2002, were followed up. We collected data on five adverse health and social outcomes in adolescents aged 17 years known to limit life chances: psychological distress, self-assessed ill health, smoking, obesity, and poor educational achievement. We compared how single and multiple outcomes were distributed across early childhood quintile groups of income, as an indicator of disadvantage, and modelled the potential effect of three income-shifting scenarios in early childhood for reducing adverse outcomes in adolescence.

FINDINGS

We included 15 245 adolescents aged 17 years, 7788 (51·1%) of whom were male and 7457 (48·9%) of whom were female. Adolescents in the lowest income quintile group in childhood were 12·7 (95% CI 6·4-25·1) times more likely than those in the highest quintile group to have four or five adverse adolescent outcomes, with poor educational achievement (risk ratio [RR] 4·6, 95% CI 4·2-5·0) and smoking (3·6, 3·0-4·2), showing the largest single risk ratios. Shifting up to the second lowest, middle, and highest income groups would reduce multiple adolescent adversities by 4·9% (95% CI -23·8 to 33·6), 32·3% (-2·7 to 67·3), and 83·9% (47·2 to 120·7), respectively. Adjusting for parental education and single parent status moderately attenuated these estimates.

INTERPRETATION

Early childhood disadvantage is more strongly correlated with multiple adolescent adversities than any of the five single adverse outcomes. However, shifting children from the lowest income quintile group to the next lowest group is ineffective. Tackling multiple adolescent adversities requires managing early childhood disadvantage across the social gradient, with income redistribution as a central element of coordinated cross-sectoral action.

FUNDING

UK Prevention Research Partnership.

Population-based physical activity promotion with a focus on health equity: a review of reviews

BACKGROUND

The extent to which people are physically active is dependent upon social gradients. Numerous studies have shown that especially people with social disadvantages do not meet the physical activity (PA) recommendations. A promising strategy to alleviate this issue are approaches that promote PA in the general population. In addition, several researchers have raised concerns that population-based health interventions may increase health inequities. The aim of the current review of reviews was therefore to identify successful population-based PA promotion approaches with a particular focus on health equity.

METHODS

Six electronic databases were examined for systematic reviews on population-based PA promotion for the period 2015 to 2021. A reference list and grey literature search were also conducted. Two independent reviewers used inclusion/exclusion criteria to screen titles and abstracts of the potentially relevant literature and conducted a quality assessment for each identified review. All included reviews of population-based approaches for PA promotion with a focus on disadvantaged populations and/or health equity were narratively summarized.

RESULTS

Our search resulted in 4,411 hits. After a systematic review process, six reviews met the inclusion criteria and were included after they were all rated as high quality. We identified that mass-media campaigns, point-of-decision prompts, environmental approaches, policy approaches, and community-based multi-component approaches can promote PA in the general population. Across populations with social disadvantages mass-media campaigns, point-of-decision prompts and policy approaches are likely to be effective as long as they are tailored. Regarding environmental approaches, the results are inconsistent. None of the reviews on community-based multi-component approaches provided evidence on health equity.

CONCLUSION

There are several effective approaches to promote PA in the general population but evidence regarding health equity is still sparse. Future studies should therefore pay more attention to this missing focus. Furthermore, there is a lack of evidence regarding the type of tailoring and the long-term impact of population-based approaches to PA promotion. However, this requires appropriate funding programmes, complex study designs and evaluation methods.

The impact of alcohol taxation increase on all-cause mortality inequalities in Lithuania: an interrupted time series analysis

BACKGROUND

Taxation increases which reduce the affordability of alcohol are expected to reduce mortality inequalities. A recent taxation increase in Lithuania offers the unique possibility to test this hypothesis.

METHODS

Census-linked mortality data between 2011 and 2019 were used to calculate monthly sex- and education-stratified age-standardized mortality rates for the population aged 40 to 70 years. As primary outcome, we analysed the difference in age-standardized all-cause mortality rates between the population of lowest versus highest educational achievement. The impact of the 2017 taxation increase was evaluated using interrupted time series analyses. To identify whether changes in alcohol use can explain the observed effects on all-cause mortality, the education-based mortality differences were then decomposed into n = 16 cause-of-death groupings.

RESULTS

Between 2012 and 2019, education-based all-cause mortality inequalities in Lithuania declined by 18% among men and by 14% among women. Following the alcohol taxation increase, we found a pronounced yet temporary reduction of mortality inequalities among Lithuanian men (- 13%). Subsequent decomposition analyses suggest that the reduction in mortality inequalities between lower and higher educated men was mainly driven by narrowing mortality differences in injuries and infectious diseases.

CONCLUSIONS

A marked increase in alcohol excise taxation was associated with a decrease in mortality inequalities among Lithuanian men. More pronounced reductions in deaths from injuries and infectious diseases among lower as compared to higher educated groups could be the result of differential changes in alcohol use in these populations.

Gender equality related to gender differences in life expectancy across the globe gender equality and life expectancy

Life expectancy (LE) depends on the wider determinants of health, many of which have gendered effects worldwide. Therefore, this study aimed to investigate whether gender equality was associated with LE for women and men and the gender gap in LE across the globe. Gender equality in 156 countries was estimated using a modified global gender gap index (mGGGI), based on the index developed by the World Economic Forum between 2010 and 2021. Linear regression was used to investigate the association between the mGGGI and its economic, political, and education subindices and the gender gap in LE and women and men's LE. Overall, the mGGGI increased from 58% in 2010 to 62% in 2021. Globally, changes in the mGGGI and its economic and political subindexes were not associated with changes in the gender gap in LE or with LE for women and men between 2010 and 2020. Improvements in gender equality in education were associated with a longer LE for women and men and widening of the gender gap in LE. In 2021, each 10% increase in the mGGGI was associated with a 4.3-month increase in women's LE and a 3.5-month increase in men's LE, and thus with an 8-month wider gender gap. However, the direction and magnitude of these associations varied between regions. Each 10% increase in the mGGGI was associated with a 6-month narrower gender gap in high-income countries, and a 13- and 16-month wider gender gap in South and Southeast Asia and Oceania, and in Sub-Saharan Africa, respectively. Globally, greater gender equality is associated with longer LE for both women and men and a widening of the gender gap in LE. The variation in this association across world regions suggests that gender equality may change as countries progress towards socioeconomic development and gender equality.

Patterns of emergency department use in rural and metropolitan New South Wales by socioeconomic status: A population-based study

OBJECTIVE

To investigate the patterns of ED use in metropolitan and rural New South Wales (NSW) by socioeconomic status (SES).

METHODS

We undertook a retrospective, population-based study of de-identified data from the NSW Emergency Department Data Collection (EDDC). The study population comprised of NSW residents who presented to an NSW public hospital ED in 2013-2019 and were registered in the NSW EDDC. Total ED presentations, negative binomial regression modelled annual changes in ED presentations over 2013-2019, and age- and sex-standardised rates of ED presentations in 2019 were assessed.

RESULTS

Overall, between 2013 and 2019, ED presentations increased in metropolitan and rural NSW, with mean annual percentage increases of 3.1% (95% confidence interval [CI] 2.8-3.5) and 2.5% (95% CI 2.0-2.9), respectively. This growth varied by SES, with larger increases observed in higher SES groups. The bulk of presentations in rural NSW were from individuals living in disadvantaged areas. Standardised rates of ED presentations were highest in the most disadvantaged quintiles (SES 1) and progressively decreased with increasing SES in both rural and metropolitan NSW (negative gradients). Rates were higher in rural NSW compared to metropolitan NSW across all SES quintiles for total, low acuity and non-low acuity presentations.

CONCLUSIONS

Negative gradients in rates of ED presentations with increasing SES were observed in both metropolitan and rural NSW. At each SES quintile, rates of ED presentations were higher in rural compared to metropolitan areas. Further research exploring the underlying causal mechanisms leading to increased ED demand in rural NSW and socioeconomically disadvantaged populations is warranted.

Behavioral factors predict all-cause mortality in female coronary patients and healthy controls over 26 years - a prospective secondary analysis of the Stockholm Female Coronary Risk Study

OBJECTIVE

The prognosis of coronary artery disease (CAD) is related to its severity and cardiovascular risk factors in both sexes. In women, social isolation, marital stress, sedentary lifestyle and depression predicted CAD progression and outcome within 3 to 5 years. We hypothesised that these behavioral factors would still be associated with all-cause mortality in female patients after 26 years.

METHODS

We examined 292 patients with CAD and 300 healthy controls (mean age of 56 ± 7 y) within the Fem-Cor-Risk-Study at baseline. Their cardiac, behavioral, and psychosocial risk profiles, exercise, smoking, and dietary habits were assessed using standardized procedures. Physiological characteristics included a full lipid profile, the coagulation cascade and autonomic dysfunction (heart rate variability, HRV). A new exploratory analysis using machine-learning algorithms compared the effects of social and behavioral mechanisms with standard risk factors. Results: All-cause mortality records were completed in 286 (97.9%) patients and 299 (99.7%) healthy women. During a median follow-up of 26 years, 158 (55.2%) patients and 101 (33.9%) matched healthy controls died. The annualized mortality rate was 2.1% and 1.3%, respectively. After controlling for all available confounders, behavioral predictors of survival in patients were social integration (HR 0.99, 95% CI 0.99-1.0) and physical activity (HR 0.54, 95% CI 0.37-0.79). Smoking acted as a predictor of all-cause mortality (HR 1.56, 95% CI 1.03-2.36). Among healthy women, moderate physical activity (HR 0.42, 95% CI 0.24-0.74) and complete HRV recordings (≥50%) were found to be significant predictors of survival.

CONCLUSIONS

CAD patients with adequate social integration, who do not smoke and are physically active, have a favorable long-term prognosis. The exact survival times confirm that behavioral risk factors are associated with all-cause mortality in female CAD patients and healthy controls.

The philosophical foundations of ‘health for all’ and Universal Health Coverage

The WHO constitution calls for ‘health for all’ and Universal Health Coverage has been called “the ultimate expression of fairness”, however it is not always clear how health systems can move towards equity. Should we prioritise the needs of the worst off? And if so, should we direct resources to these marginalised groups or marginalised individuals? This article provides an overview of the philosophical underpinnings of health equity and proportionate universalism, highlighting the trade-offs involved in operationalising a core tenant of global health practice.

Inequalities in life expectancy by educational level and its decomposition in Barcelona, 2004-2018

OBJECTIVE

To analyse the gap in life expectancy by educational level in the city of Barcelona from 2004 to 2018 and to decompose this gap by age and causes of death.

METHOD

We computed abridged life tables at the age of 25 years by sex from 2004 to 2018 using standard methods. Educational level was categorised in two groups (lower secondary or less vs. upper secondary or higher education). The life expectancy gap was further decomposed by age and by causes of death based in Arriaga's method in 5-year age blocks up to the age of ≥ 90 years and broad causes of death using ICD-10 codes.

RESULTS

The life expectancy gap at 25 years by educational level oscillated without trend at around 3.08 years for men and 1.93 years for women. Decomposition by age showed a favourable significant shift in the contribution to this gap from young to older ages for men, with few changes for women. Decomposition by causes of death showed that the diseases concentrating the largest share of the contribution were neoplasms and respiratory and circulatory disease. There was a significant downward trend in external causes for men and in infectious diseases for both men and women but a significant upward trend for respiratory disease for both sexes.

CONCLUSIONS

The stability of the life expectancy gap by educational level during the period analysed resulted from a combination of divergent trends by age and causes of death among high and low educational levels.

Future trends of life expectancy by education in the Netherlands

Background

National projections of life expectancy are made periodically by statistical offices or actuarial societies in Europe and are widely used, amongst others for reforms of pension systems. However, these projections may not provide a good estimate of the future trends in life expectancy of different social-economic groups. The objective of this study is to provide insight in future trends in life expectancies for low, mid and high educated men and women living in the Netherlands.

Methods

We used a three-layer Li and Lee model with data from neighboring countries to complement Dutch time series.

Results

Our results point at further increases of life expectancy between age 35 and 85 and of remaining life expectancy at age 35 and age 65, for all education groups in the Netherlands. The projected increase in life expectancy is slightly larger among the high educated than among the low educated. Life expectancy of low educated women, particularly between age 35 and 85, shows the smallest projected increase. Our results also suggest that inequalities in life expectancies between high and low educated will be similar or slightly increasing between 2018 and 2048. We see no indication of a decline in inequality between the life expectancy of the low and high educated.

Conclusions

The educational inequalities in life expectancy are expected to persist or slightly increase for both men and women. The persistence and possible increase of inequalities in life expectancy between the educational groups may cause equity concerns of increases in pension age that are equal among all socio-economic groups.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13275-w.

County-Level Life Expectancy Change: A Novel Metric for Monitoring Public Health

Life expectancy (LE) is a core measure of population health. Studies have confirmed the predictive importance of modifiable determinants on LE, but less is known about their association with LE change over time at the US county level. In addition, we explore the predictive association of LE change with COVID-19 mortality. We used a linear regression model to calculate county-level annual LE change from 2011 to 2016, and categorized LE change (≤-0.1 years change per year as decreasing, ≥0.1 years as increasing, otherwise no change). A multinomial regression model was used to determine the association between modifiable determinants of health indicators from the County Health Rankings and LE change. A Poisson regression model was used to evaluate the relationship between change in life expectancy and COVID-19 mortality through September 2021. Among 2943 counties, several modifiable determinants of health were significantly associated with odds of being in increasing LE or decreasing LE counties, including adult smoking, obesity, unemployment, and proportion of children in poverty. The presence of an increasing LE in 2011-2016, as compared to no change, was significantly associated with a 5% decrease in COVID-19 mortality between 2019 and 2021 (β = 0.953, 95% CI: 0.943, 0.963). We demonstrated that change in LE at the county level is a useful metric for tracking public health progress, measuring the impact of public health initiatives, and gauging preparedness and vulnerability for future public health emergencies.

The Barriers and Facilitators of eHealth-Based Lifestyle Intervention Programs for People With a Low Socioeconomic Status: Scoping Review

Background

Promoting health behaviors and preventing chronic diseases through a healthy lifestyle among those with a low socioeconomic status (SES) remain major challenges. eHealth interventions are a promising approach to change unhealthy behaviors in this target group.

Objective

This review aims to identify key components, barriers, and facilitators in the development, reach, use, evaluation, and implementation of eHealth lifestyle interventions for people with a low SES. This review provides an overview for researchers and eHealth developers, and can assist in the development of eHealth interventions for people with a low SES.

Methods

We performed a scoping review based on Arksey and O’Malley’s framework. A systematic search was conducted on PubMed, MEDLINE (Ovid), Embase, Web of Science, and the Cochrane Library, using terms related to a combination of the following key constructs: eHealth, lifestyle, low SES, development, reach, use, evaluation, and implementation. There were no restrictions on the date of publication for articles retrieved upon searching the databases.

Results

The search identified 1323 studies, of which 42 met our inclusion criteria. An update of the search led to the inclusion of 17 additional studies. eHealth lifestyle interventions for people with a low SES were often delivered via internet-based methods (eg, websites, email, Facebook, and smartphone apps) and offline methods, such as texting. A minority of the interventions combined eHealth lifestyle interventions with face-to-face or telephone coaching, or wearables (blended care). We identified the use of different behavioral components (eg, social support) and technological components (eg, multimedia) in eHealth lifestyle interventions. Facilitators in the development included iterative design, working with different disciplines, and resonating intervention content with users. Facilitators for intervention reach were use of a personal approach and social network, reminders, and self-monitoring. Nevertheless, barriers, such as technological challenges for developers and limited financial resources, may hinder intervention development. Furthermore, passive recruitment was a barrier to intervention reach. Technical difficulties and the use of self-monitoring devices were common barriers for users of eHealth interventions. Only limited data on barriers and facilitators for intervention implementation and evaluation were available.

Conclusions

While we found large variations among studies regarding key intervention components, and barriers and facilitators, certain factors may be beneficial in building and using eHealth interventions and reaching people with a low SES. Barriers and facilitators offer promising elements that eHealth developers can use as a toolbox to connect eHealth with low SES individuals. Our findings suggest that one-size-fits-all eHealth interventions may be less suitable for people with a low SES. Future research should investigate how to customize eHealth lifestyle interventions to meet the needs of different low SES groups, and should identify the components that enhance their reach, use, and effectiveness.

Socioeconomic inequalities in health status and survival: a cohort study in Rome

OBJECTIVES

To analyse the association between individual and contextual socioeconomic position (SEP) with health status and to investigate the role of SEP and baseline health status on survival.

DESIGN

Cross-sectional and cohort study.

SETTING

Rome, Italy.

PARTICIPANTS, PRIMARY AND SECONDARY OUTCOMES

We selected the 25-99 year-olds included in the Rome 2011 census cohort. As a measure of health status on the census reference date (09 October 2011), we used the presence of chronic or rare conditions from the Disease-Related Co-payment Exemption Registry, a database implemented to provide free care to people with chronic or rare diseases. We used logistic regression to analyse the association between both individual (educational attainment) and contextual SEP (neighbourhood real estate price quintiles) with baseline health status. We analysed the role of SEP and the presence of chronic or rare conditions on 5-year survival (until 31 December 2016) using accelerated failure time models with Weibull distribution, reporting time ratios (TRs; 95% CI).

RESULTS

In middle-aged, subjects with low SEP (either individual or contextual) had a prevalence of chronic conditions comparable with the prevalence in high SEP individuals 10 years older. Adjusted logistic models confirmed the direct association between SEP and baseline health status in both women and men. The lowest educated were up to 67% more likely to have a chronic condition than the highest educated, while the difference was up to 86% for lowest versus highest contextual SEP. Low SEP and the presence of chronic conditions were associated with shorter survival times in both sexes, lowest versus highest educated TR was TR=0.79 for women (95% CI: 0.77 to 0.81) and TR=0.71 for men (95% CI: 0.70 to 0.73). The contextual SEP shrunk survival times by about 10%.

CONCLUSION

Inequalities were present in both baseline health and survival. The association between SEP and survival was independent of baseline health status.

Estimation of smoking-related mortality and its contribution to educational inequalities in life expectancy in Spain: an observational study, 2016-2019

OBJECTIVE

To estimate smoking-related mortality and its contribution to educational inequalities in life expectancy in Spain.

DESIGN

Nationwide, observational study from 2016 to 2019. Population-attributable fractions were used to estimate age, sex and education-specific cause-of-death smoking-attributable mortality. Life table techniques and decomposition methods were used to estimate potential gains in life expectancy at age 35 and the cause-specific contributions of smoking-related mortality to life expectancy differences across educational groups.

SETTING

Spain.

PARTICIPANTS

We use cause-specific mortality data from population registers and smoking prevalence from the National and the European Health Survey for Spain from 2017 and 2019/2020, respectively.

RESULTS

We estimated 219 086 smoking-related deaths during 2016-2019, equalling 13% of all deaths, 83.7% of those in men. In the absence of smoking, potential gains in male life expectancy were higher among the low-educated than the high-educated (3.1 vs 2.1 years). For women, educational differences were less and also in the opposite direction (0.6 vs 0.9 years). The contribution of smoking to life expectancy differences between high-educated and low-educated groups accounted for 1.5 years among men, and -0.2 years among women. For men, the contribution of smoking to these differences was mostly driven by cancer in middle age, cardiometabolic diseases at younger ages and respiratory diseases at older ages. For women, the contribution to this gap, although negligible, was driven by cancer at older ages among the higher educated.

CONCLUSIONS

Smoking remains a relevant preventable risk factor of premature mortality in Spain, disproportionately affecting life expectancy of low-educated men.

A New Approach for Constructing a Health Care Index including the Subjective Level

Until now, health care systems have been compared by means of macro criteria, an approach that might have its shortcomings in assessing the actual benefits that health care systems may provide for people. Therefore, a new health care index is presented which combines individual assessments of health care systems with objective macro health care system criteria. Two steps are taken for furthering this approach: First, a data-driven procedure is used to determine the influence of self-rated health on confidence in the health care system through macro criteria of health care systems. The macro indicators are weighted accordingly and created into an index, which adds to the subjective level of the link. In a second step, the constructed health care index is tested in a multilevel model with self-rated health being the dependent variable, to avoid tautological conclusions. The index is able to reduce country differences, decrease explained variability and has a statistically significant effect without affecting other estimates.

Modeling Years of Life Lost Due to COVID-19, Socioeconomic Status, and Nonpharmaceutical Interventions: Development of a Prediction Model

Background

Research in the COVID-19 pandemic focused on the health burden, thereby largely neglecting the potential harm to life from welfare losses.

Objective

This paper develops a model that compares the years of life lost (YLL) due to COVID-19 and the potential YLL due to the socioeconomic consequences of its containment.

Methods

It improves on existing estimates by conceptually disentangling YLL due to COVID-19 and socioeconomic status. By reconciling the normative life table approach with socioeconomic differences in life expectancy, it accounts for the fact that people with low socioeconomic status are hit particularly hard by the pandemic. The model also draws on estimates of socioeconomic differences in life expectancy to ascertain potential YLL due to income loss, school closures, and extreme poverty.

Results

Tentative results suggest that if only one-tenth of the current socioeconomic damage becomes permanent in the future, it may carry a higher YLL burden than COVID-19 in the more likely pandemic scenarios. The model further suggests that the socioeconomic harm outweighs the disease burden due to COVID-19 more quickly in poorer and more unequal societies. Most urgently, the substantial increase in extreme poverty needs immediate attention. Avoiding a relatively minor number of 4 million unemployed, 1 million extremely poor, and 2 million students with a higher learning loss may save a similar amount of life years as saving 1 million people from dying from COVID-19.

Conclusions

Primarily, the results illustrate the urgent need for redistributive policy interventions and global solidarity. In addition, the potentially high YLL burden from income and learning losses raises the burden of proof for the efficacy and necessity of school and business closures in the containment of the pandemic, especially where social safety nets are underdeveloped.

Influences of Digital Transformation on Life Expectancy and the Gender Gap in European Countries

Our paper empirically examines the influence of the digital transformation process on life expectancy employing a sample of 20 European countries over the period from 2015 to 2020. In the models, digitalization is captured by six measures. Our results illustrate that using the internet and online activities reduce life expectancy, whereas business digitization, e-commerce, digital public services, and higher digital skills in the population can improve the life expectancy of men and women, leading to a reduction in the gender gap. Furthermore, we detect that men are significantly more affected by the implementation of digital transformation, while online administrative procedures also lead to a rise in life expectancy but only in women. These effects only exist in the long term. We also find that digital connectivity, business digitization, e-commerce, and digital skills help people survive longer during the Covid-19 pandemic.

Olive Oil Improves While Trans Fatty Acids Further Aggravate the Hypomethylation of LINE-1 Retrotransposon DNA in an Environmental Carcinogen Model

DNA methylation is an epigenetic mechanism that is crucial for mammalian development and genomic stability. Aberrant DNA methylation changes have been detected not only in malignant tumor tissues; the decrease of global DNA methylation levels is also characteristic for aging. The consumption of extra virgin olive oil (EVOO) as part of a balanced diet shows preventive effects against age-related diseases and cancer. On the other hand, consuming trans fatty acids (TFA) increases the risk of cardiovascular diseases as well as cancer. The aim of the study was to investigate the LINE-1 retrotransposon (L1-RTP) DNA methylation pattern in liver, kidney, and spleen of mice as a marker of genetic instability. For that, mice were fed with EVOO or TFA and were pretreated with environmental carcinogen 7,12-dimethylbenz[a]anthracene (DMBA)-a harmful substance known to cause L1-RTP DNA hypomethylation. Our results show that DMBA and its combination with TFA caused significant L1-RTP DNA hypomethylation compared to the control group via inhibition of DNA methyltransferase (DNMT) enzymes. EVOO had the opposite effect by significantly decreasing DMBA and DMBA + TFA-induced hypomethylation, thereby counteracting their effects.

Gender equality and the gender gap in life expectancy in the European Union

Introduction

Life expectancy (LE) depends on the wider determinants of health, which have different impact in women and men. Therefore, this study aimed to investigate whether gender equality was correlated with LE in women and men.

Methods

Gender equality in the 27 European Union (EU) member states between 2010 and 2019 was estimated using a modified Gender Equality Index (mGEI), based on the index developed by the European Institute for Gender Equality. The correlation between this mGEI and LE and the gender gap in LE was calculated using the Spearman correlation coefficient.

Results

Between 2010 and 2019, LE increased more for men than women, which resulted in a narrowing of the gender gap in LE in the EU. During the same period, there was an increase in gender equality, as measured by the mGEI, although with substantial heterogeneity between countries. There was a strong correlation between the mGEI and the gender gap in LE (−0.880), which was explained by a stronger correlation between the mGEI and longer LE in men than in women (0.655 vs 0.629, respectively). The domains of the mGEI most strongly associated with a narrowing of the gender gap in LE were health, money and knowledge, while power was the domain with the weakest association.

Conclusions

Gender equality appears to be at least as beneficial to men as women with regard to LE, thus reinforcing the key role gender equality plays in improving population health and longevity.

Subjective Socioeconomic Status, Cognitive Abilities, and Personal Control: Associations With Health Behaviours

Objective

To examine subjective and objective socioeconomic status (SSES and OSES, respectively) as predictors, cognitive abilities as confounders, and personal control perceptions as mediators of health behaviours.

Design

A cross-sectional study including 197 participants aged 30–50 years, recruited from the crowd-working platform, Prolific.

Main Outcome Measure

The Good Health Practices Scale, a 16-item inventory of health behaviours.

Results

SSES was the most important predictor of health behaviours (beta = 0.19, p &lt; 0.01). Among the OSES indicators, education (beta = 0.16, p &lt; 0.05), but not income, predicted health behaviours. Intelligence (r = −0.16, p &lt; 0.05) and memory (r = −0.22, p &lt; 0.01) were negatively correlated with health-promoting behaviours, and the effect of memory was upheld in the multivariate model (beta = −0.17, p &lt; 0.05). Personal control perceptions (mastery and constraints) did not act as mediators.

Conclusion

SSES predicted health behaviours beyond OSES. The effect of socioeconomic indicators was not confounded by cognitive abilities. Surprisingly, cognitive abilities were negatively associated with health-promoting behaviours. Future research should emphasise SSES as a predictor of health behaviours. Delineating the psychological mechanisms linking SSES with health behaviours would be a valuable contribution toward improved understanding of socioeconomic disparities in health behaviours.

Biomarkers of aging-associated chronic inflammation as a prognostic factor for human longevity

It has been well-established that age-associated low-grade chronic inflammation contributes to the development of a spectrum of chronic diseases, including diabetes mellitus, ischemic heart disease, stroke, cancer, chronic kidney disease, non-alcoholic fatty liver disease and neurodegenerative diseases, which affect the quality of life of the elderly and influence their life span. This phenomenon is suggested to arise due to the weakening of the regulatory mechanisms of the immune response, and the persistence of exogenous and endogenous (reflecting oxidative cell injury) antigenic challenges, so it is referred to as oxi-inflamm-aging. Considering that the development of age-associated chronic inflammation is "silent", i.e., without clinical signs until the aforementioned complications become apparent, it is important to identify the biomarker(s) or pattern/cluster of biomarkers for this inflammation. It is also important to define new strategies to combat the "silent" damage induced by chronic inflammation. Given that at present there are no reliable biomarkers for chronic inflammation, this review points out the problems in defining biomarker(s) or patterns/clusters of biomarkers for chronic inflammation in order to stimulate further research and points to some possible routes of investigation.

Incorporating Equity Concerns in Cost-Effectiveness Analyses: A Systematic Literature Review

OBJECTIVE

The aim of this study was to review analytical methods that enable the incorporation of equity concerns within economic evaluation.

METHODS

A systematic search of PubMed, Embase, and EconLit was undertaken from database inception to February 2021. The search was designed to identify methodological approaches currently employed to evaluate health-related equity impacts in economic evaluation studies of healthcare interventions. Studies were eligible if they described or elaborated on a formal quantitative method used to integrate equity concerns within economic evaluation studies. Cost-utility, cost-effectiveness, cost-benefit, cost-minimisation, and cost-consequence analyses, as well as health technology appraisals, budget impact analyses, and any relevant literature reviews were included. For each of the identified methods, we provided summaries of the scope of equity considerations covered, the methods employed and their key attributes, data requirements, outcomes, and strengths and weaknesses. A traffic light assessment of the practical suitability of each method was undertaken, alongside a worked example applying the different methods to evaluate the same decision problem. Finally, the review summarises the typical trade-offs arising in cost-effectiveness analyses and discusses the extent to which the evaluation methods are able to capture these.

RESULTS

In total, 68 studies were included in the review. Methods could broadly be grouped into equity-based weighting (EBW) methods, extended cost-effectiveness analysis (ECEA), distributional cost-effectiveness analysis (DCEA), multi-criteria decision analysis (MCDA), and mathematical programming (MP). EBW and MP methods enable equity consideration through adjustment to incremental cost-effectiveness ratios, whereas equity considerations are represented through financial risk protection (FRP) outcomes in ECEA, social welfare functions (SWFs) in DCEA, and scoring/ranking systems in MCDA. The review identified potential concerns for EBW methods and MCDA with respect to data availability and for EBW methods and MP with respect to explicitly measuring changes in inequality. The only potential concern for ECEA related to the use of FRP metrics, which may not be relevant for all healthcare systems. In contrast, DCEA presented no significant concerns but relies on the use of SWFs, which may be unfamiliar to some audiences and requires societal preference elicitation. Consideration of typical cost-effectiveness and equity-related trade-offs highlighted the flexibility of most methods with respect to their ability to capture such trade-offs. Notable exceptions were trade-offs between quality of life and length of life, for which we found DCEA and ECEA unsuitable, and the assessment of lost opportunity costs, for which we found only DCEA and MP to be suitable. The worked example demonstrated that each method is designed with fundamentally different analytical objectives in mind.

CONCLUSIONS

The review emphasises that some approaches are better suited to particular decision problems than others, that methods are subject to different practical requirements, and that significantly different conclusions can be observed depending on the choice of method and the assumptions made. Further, to fully operationalise these frameworks, there remains a need to develop consensus over the motivation for equity assessment, which should necessarily be informed with stakeholder involvement. Future research of this topic should be a priority, particularly within the context of equity evaluation in healthcare policy decisions.

Interrupted time series analyses to assess the impact of alcohol control policy on socioeconomic inequalities in mortality in Lithuania: a study protocol

INTRODUCTION

Alcohol use is a major risk factor for mortality. Previous studies suggest that the alcohol-attributable mortality burden is higher in lower socioeconomic strata. This project will test the hypothesis that the 2017 increase of alcohol excise taxes linked to lower all-cause mortality rates in previous analyses will reduce socioeconomic mortality inequalities.

METHODS AND ANALYSIS

Data on all causes of deaths will be obtained from Statistics Lithuania. Record linkage will be implemented using personal identifiers combining data from (1) the 2011 whole-population census, (2) death records between 1 March 2011 (census date) and 31 December 2019, and (3) emigration records, for individuals aged 40-70 years. The analyses will be performed separately for all-cause and for alcohol-attributable deaths. Monthly age-standardised mortality rates will be calculated by sex, education and three measures of socioeconomic status (SES). Inequalities in mortality will be assessed using absolute and relative indicators between low and high SES groups. We will perform interrupted time series analyses, and test the impact of the 2017 rise in alcohol excise taxation using generalised additive mixed models. In these models, we will control for secular trends for economic development.

ETHICS AND DISSEMINATION

This work is part of project grant 1R01AA028224-01 by the National Institute on Alcohol Abuse and Alcoholism. It has been granted research ethics approval 050/2020 by Centre for Addiction and Mental Health Research Ethics Board on 17 April 2020, renewed on 30 March 2021. The time series of mortality inequalities as well as the statistical code will be made publicly available, allowing other researchers to adapt the proposed method to other jurisdictions.