Life expectancy, long-term care demand and dynamic financing mechanism simulation: an empirical study of Zhejiang Pilot, China.

BACKGROUND: China has piloted Long-Term Care Insurance (LTCI) to address increasing care demand. However, many cities neglected adjusting LTCI premiums since the pilot, risking the long-term sustainability of LTCI. Therefore, using Zhejiang Province as a case, this study simulated mortality-adjusted long-term care demand and the balance of LTCI funds through dynamic financing mechanism under diverse life expectancy and disability scenarios. METHODS: Three-parameter log-quadratic model was used to estimate the mortality from 1990 to 2020. Mortality with predicted interval from 2020 to 2080 was projected by Lee-Carter method extended with rotation. Cohort-component projection model was used to simulate the number of older population with different degrees of disability. Disability data of the older people is sourced from China Health and Retirement Longitudinal Study 2018. The balance of LTCI fund was simulated by dynamic financing actuarial model. RESULTS: Life expectancy of Zhejiang for male (female) is from 80.46 (84.66) years in 2020 to 89.39 [86.61, 91.74] (91.24 [88.90, 93.25]) years in 2080. The number of long-term care demand with severe disability in Zhejiang demonstrates an increasing trend from 285 [276, 295] thousand in 2023 to 1027 [634, 1657] thousand in 2080 under predicted mean of life expectancy. LTCI fund in Zhejiang will become accumulated surplus from 2024 to 2080 when annual premium growth rate is 5.25% [4.20%, 6.25%] under various disability scenarios, which is much higher than the annual growth of unit cost of long-term care services (2.25%). The accumulated balance of LTCI fund is sensitive with life expectancy. CONCLUSIONS: Dynamic growth of LTCI premium is essential in dealing with current deficit around 2050 and realizing Zhejiang's LTCI sustainability in the long-run. The importance of dynamic monitoring disability and mortality information is emphasized to respond immediately to the increase of premiums. LTCI should strike a balance between expanding coverage and controlling financing scale. This study provides implications for developing countries to establish or pilot LTCI schemes.

Does shortage of GPs matter? A cross-sectional study of practice population life expectancy.

BACKGROUND: There are not enough GPs in England. Access to general practice and continuity of care are declining. AIM: To investigate whether practice characteristics are associated with life expectancy of practice populations. DESIGN AND SETTING: A cross-sectional ecological study of patient life expectancy from 2015-2019. METHOD: Selection of independent variables was based on conceptual frameworks describing general practice's influence on outcomes. Sixteen non-correlated variables were entered into multivariable weighted regression models: population characteristics (Index of Multiple Deprivation, region, % White ethnicity, and % on diabetes register); practice organisation (total NHS payments to practices expressed as payment per registered patient, full-time equivalent fully qualified GPs, GP registrars, advanced nurse practitioners, other nurses, and receptionists per 1000 patients); access (% seen on the same day); clinical performance (% aged ≥45 years with blood pressure checked, % with chronic obstructive pulmonary disease vaccinated against flu, % with diabetes in glycaemic control, and % with coronary heart disease on antiplatelet therapy); and the therapeutic relationship (% continuity). RESULTS: Deprivation was strongly negatively associated with life expectancy. Regions outside London and White ethnicity were associated with lower life expectancy. Higher payment per patient, full-time equivalent fully qualified GPs per 1000 patients, continuity, % with chronic obstructive pulmonary disease having the flu vaccination, and % with diabetes with glycaemic control were associated with higher life expectancy; the % being seen on the same day was associated with higher life expectancy in males only. The variable aged ≥45 years with blood pressure checked was a negative predictor in females. CONCLUSION: The number of GPs, continuity of care, and access in England are declining, and it is worrying that these features of general practice were positively associated with life expectancy.

Shared decision-making for non-operative management versus operative management of hip fractures in selected frail older adults with a limited life expectancy: a protocol for a nationwide implementation study.

BACKGROUND AND PURPOSE: Recent research has highlighted non-operative management (NOM) as a viable alternative for frail older adults with hip fractures in the final phase of life. This study aims to guide Dutch physicians and hospitals nationwide in a standardised implementation of shared decision-making regarding surgery or NOM in selected frail older adults with a hip fracture. METHODS AND ANALYSIS: The patient population for implementation includes frail older adults aged ≥70 years with an acute proximal femoral fracture, nursing home care or a similar level of care elsewhere and at least one additional criterion (ie, malnutrition, severe mobility impairment or ASA≥4). The 2-year implementation study will be conducted in four phases. In phases 1 and 2, barriers and facilitators for implementation will be identified and an implementation protocol, educational materials and patient information will be developed. Phase 3 will involve an implementation pilot in 14 hospitals across the Netherlands. The protocol and educational material will be improved based on healthcare provider and patient experiences gathered through interviews. Phase 4 will focus on upscaling to nationwide implementation and the effect of the implementation on NOM rate will be measured using data from the Dutch Hip Fracture Audit. ETHICS AND DISSEMINATION: The study was exempted by the local Medical Research Ethics Committee (MEC-2023-0270, 10 May 2023) and Medical Ethics Committee United (W23.083, 26 April 2023). The study's results will be submitted to an open access international peer-reviewed journal. Its protocols, tools and results will be presented at several national and international academic conferences of relevant orthogeriatric (scientific) associations. TRIAL REGISTRATION NUMBER: NCT06079905 .

Age and sex-specific disability-free life expectancy in urban and rural settings of Bangladesh.

BACKGROUND: Disability-free life expectancy (DFLE) has been used to gain a better understanding of the population's quality of life. OBJECTIVES: The authors aimed to estimate age and sex-specific disability-free life expectancy (DFLE) for urban and rural areas of Bangladesh, as well as to investigate the differences in DFLE between males and females of urban and rural areas. METHODS: Data from the Bangladesh Sample Vital Statistics-2016 and the Bangladesh Household Income and Expenditure Survey (HIES)-2016 were used to calculate the disability-free life expectancy (DFLE) of urban and rural males and females in Bangladesh in 2016. The DFLE was calculated using the Sullivan method. RESULTS: With only a few exceptions, rural areas have higher mortality and disability rates than urban areas. For both males and females, statistically significant differences in DFLE were reported between urban and rural areas between the ages of birth and 39 years. In comparison to rural males and females, urban males and females had a longer life expectancy (LE), a longer disability-free life expectancy, and a higher share of life without disability. CONCLUSION: This study illuminates stark urban-rural disparities in LE and DFLE, especially among individuals aged < 1-39 years. Gender dynamics reveal longer life expectancy but shorter disability-free life expectancy for Bangladeshi women compared to men, emphasizing the need for targeted interventions to address these pronounced health inequalities.

Public health relevance of medicines developed under paediatric legislation in Europe and the USA: a systematic mapping study.

BACKGROUND: Legislation in the European Union (EU) and the USA promoting the development of paediatric medicines has contributed to new treatments for children. This study explores how such legislation responds to paediatric health needs in different country settings and globally, and whether it should be considered for wider implementation. METHODS: We searched EU and US regulatory databases for medicines with approved indications resulting from completed paediatric development between 2007 and 2018. Of 195 medicines identified, 187 could be systematically mapped to the burden of the target disease for six study countries (Australia, Brazil, Canada, Kenya, Russia, South Africa) and globally, using disability-adjusted life years (DALYs). All medicines were also screened for inclusion on the WHO Model List of Essential Medicines (EML) and the EML for children under 13 years (EMLc). RESULTS: The studied medicines were disproportionately focused on non-communicable diseases, which represented 68% of medicines and 21% of global paediatric DALYs. On the other hand, we found 28% of medicines for communicable, maternal, neonatal and nutritional disorders, representing 73% of global paediatric DALYs. Neonatal disorders and malaria were mapped with two medicines, tuberculosis and neglected tropical diseases with none. The gap between medicines and paediatric DALYs was greater in countries with lower income. Still, 34% of medicines are included in the EMLc and 48% in the EML. CONCLUSIONS: Paediatric policies in the EU and the USA are only partially responsive to paediatric health needs. To be considered for wider implementation, paediatric incentives and obligations should be more targeted towards paediatric health needs. International harmonisation of legislation and alignment with global research priorities could further strengthen its impact on child health and support ongoing efforts to improve access to medicines. Furthermore, efforts should be made to ensure global access to authorised paediatric medicines.

Years of life lost due to insufficient sleep and associated economic burden in China from 2010-18.

Background: Research on the health and economic costs due to insufficient sleep remains scant in developing countries. In this study we aimed to estimate the years of life lost (YLLs) due to short sleep and quantify its economic burden in China. Methods: We estimated both individual and aggregate YLLs due to short sleep (ie, ≤6 hours) among Chinese adults aged 20 years or older by sex and five-year age groups in 2010, 2014, and 2018. YLL estimates were derived from 1) the prevalence of short sleep using three survey waves of the China Family Panel Studies, 2) relative mortality risks from meta-analyses, and 3) life tables in China. YLL was the difference between the estimated life expectancy of an individual in the short sleep category vs in the recommended sleep category. We estimated the economic cost using the human capital approach. Results: The sample sizes of the three survey waves were 31 393, 31 207, and 28 618. Younger age groups and men had more YLLs due to short sleep compared to their counterparts. For individuals aged 20-24, men had an average YLL of nearly 0.95, in contrast to the approximate 0.75 in women across the observed years of 2010, 2014, and 2018. The trend in individual YLLs remained consistent over these years. In aggregate, China experienced a rise from 66.75 million YLLs in 2010 to 95.29 million YLLs in 2014, and to 115.05 million YLLs in 2018. Compared to 2010 (USD 191.83 billion), the associated economic cost in 2014 increased to USD 422.24 billion, and the cost in 2018 more than tripled (USD 628.15 billion). The percentage of cost to Chinese gross domestic product in corresponding years was 3.23, 4.09, and 4.62%. Conclusions: Insufficient sleep is associated with substantial YLLs in China, potentially impacting the population's overall life expectancy. The escalating economic toll attributed to short sleep underscores the urgent need for public health interventions to improve sleep health at the population level.

The burden of diabetes and hypertension on healthy life expectancy in Bangladesh.

Diabetes and hypertension are among the leading causes of death in Bangladesh. This study examined hypertension, diabetes, and either or both, free life expectancy, to measure the effect of the diseases on the overall health of individuals in Bangladesh with regional variations. We utilized data from Bangladesh Sample Vital Statistics 2018 for mortality and Bangladesh Demographic and Health Survey 2017-2018 for diabetes and hypertension. The Sullivan method was employed to estimate age-specific hypertension and diabetes-free life expectancy. Altogether, 10.3% of the people aged 18-19 years lived with either diabetes or hypertension. The hypertension-free life expectancy was 40.4 years, and the diabetes-free life expectancy was 53.2 years for those aged 15-19. Overall, individuals would expect to spend 38.7% of their lives with either of the diseases. Females suffered more from hypertension and males from diabetes. Still, females suffered more from the aggregate of both. Rural people had more diabetes and hypertension-free life expectancy than those of urban. Individuals of Mymensingh had the highest life expectancy free of both diseases compared to other divisions of Bangladesh. Diabetes and hypertension affect a considerable proportion of the life of the population in Bangladesh. Policy actions are needed to guide the prevention, diagnosis, and treatment of both diseases, specifically focusing on women and urban populations. Widespread health-enhancing actions need to be taken to diminish the effect of these two diseases in Bangladesh.

The development of working life expectancy without musculoskeletal diseases against the backdrop of extended working lives.

Musculoskeletal diseases (MSDs) are a major predictor of early retirement. Against the backdrop of the extension of working life, we investigated time trends and educational inequalities in years spent in the labour market free of MSD. Based on German statutory health insurance data (N = 3,405,673), total life years free of MSD (Healthy Life Expectancy, HLE) and years spent in the labour force free of MSD (Healthy Working Life Expectancy, HWLE) were estimated for three periods (2006-2008, 2011-2013, 2016-2018) using multistate analyses. Educational inequalities (8 to 11 vs. 12 or more years of schooling) are reported for 2011-2013. HLE decreased slightly over time in all genders. HWLE in women increased, while it remained rather constant in men. Over time, the share of years in the labour force spent free of MSD declined continuously. People with lower education had lower HLE and HWLE than individuals with higher education. With respect to musculoskeletal diseases, the increase in disease-free working life years cannot keep pace with the extension of working life, resulting in an increasing proportion of years spent in impaired musculoskeletal health in the labour market. Effective prevention strategies are needed, focusing especially on individuals with lower educational attainment.

Unveiling the lead exposure attributed burden in Iran from 1990 to 2019 through the lens of the Global Burden of Disease study 2019.

This study aimed to investigate the estimated burden attributed to lead exposure (LE), at the national and subnational levels from 1990 to 2019 in Iran. The burden attributed to LE was determined through the estimation of deaths, disability-adjusted life years (DALYs), years of life lost (YLLs) and years lived with disability (YLDs) using the comparative risk assessment method of Global Burden of Disease (GBD) study presenting as age-standardized per 100,000 person year (PY) with 95% uncertainty intervals (95% UI). Furthermore, the burden of each disease were recorded independently. Eventually, the age-standardized YLLs, DALYs, deaths and YLDs rates attributed to LE demonstrated a decrease of 50.7%, 48.9%, 38.0%, and 36.4%, respectively, from 1990 to 2019. The most important causes of LE burden are divided into two acute and chronic categories: acute, mainly causes mental disorders (DALYs rate of 36.0 in 2019), and chronic, results in cardiovascular diseases (CVDs) (DALYs rate of 391.8) and chronic kidney diseases (CKDs) (DALYs rate of 26.6), with CVDs bearing the most significant burden. At the sub-national level, a decrease in burden was evident in most provinces; moreover, low and low-middle SDI provinces born the highest burden. The burden increased mainly by ageing and was higher in males than females. It was concluded that although the overall decrease in the burden; still it is high, especially in low and low-middle SDI provinces, in advanced ages and in males. Among IDID, CKDs and CVDs that are the most important causes of LE-attributed burden in Iran; CVDs bear the highest burden.

Subnational estimates of life expectancy at birth in India: evidence from NFHS and SRS data.

BACKGROUND: Mortality estimates at the subnational level are of urgent need in India for the formulation of policies and programmes at the district level. This is the first-ever study which used survey data for the estimation of life expectancy at birth ([Formula: see text]) for the 640 districts from NFHS-4 (2015-16) and 707 districts from NFHS-5 (2019-21) for the total, male and female population in India. METHODS: This study calculated annual age-specific mortality rates from NFHS-4 and NFHS-5 for India and all 36 states for the total, male and female population. This paper constructed the abridged life tables and estimated life expectancy at birth [Formula: see text] and further estimated the model parameters for all 36 states. This study linked state-specific parameters to the respective districts for the estimation of life expectancy at birth [Formula: see text]for 640 districts from NFHS-4 and 707 districts from NFHS-5 for the total, male and female population in India. RESULTS: Findings at the state level showed that there were similarities between the estimated and calculated [Formula: see text] in most of the states. The results of this article observed that the highest [Formula: see text] varies in the ranges of 70 to 90 years among the districts of the southern region. [Formula: see text] falls below 70 years among most of the central and eastern region districts. In the northern region districts [Formula: see text] lies in the range of 70 years to 75 years. The estimates of life expectancy at birth [Formula: see text] shows the noticeable variations at the state and district levels for the person, male, and female populations from the NFHS (2015-16) and NFHS (2019-21). In the absence of age-specific mortality data at the district level in India, this study used the indirect estimation method of relating state-specific model parameters with the IMR of their respective districts and estimated [Formula: see text] across the 640 districts from NFHS-4 (2015-16) and 707 districts from NFHS-5 (2019-21). The findings of this study have similarities with the state-level estimations of [Formula: see text] from both data sources of SRS and NFHS and found the highest [Formula: see text] in the southern region and the lowest [Formula: see text] in the eastern and central region districts. CONCLUSIONS: In the lack of [Formula: see text] estimates at the district level in India, this study could be beneficial in providing timely life expectancy estimates from the survey data. The findings clearly shows variations in the district level [Formula: see text]. The districts from the southern region show the highest [Formula: see text] and districts from the central and eastern region has lower [Formula: see text]. Females have higher [Formula: see text] as compared to the male population in most of the districts in India.

Sexual harassment and implicit gender-career biases negatively impact women's life expectancy in the US: a state-level analysis, 2011-2019.

BACKGROUND: Despite some gains, women continue to have less access to work and poorer experiences in the workplace, relative to men. The purpose of this study was to examine the relationships among women's life expectancy and two work-related factors, sexual harassment and gender-career biases. METHOD: We examined the associations at the state level of analysis (and District of Columbia) in the US from 2011 to 2019 (n = 459) using archival data from various sources. Measures of the ratio of population to primary health providers, year, the percent of adults who are uninsured, the percent of residents aged 65 or older, and percent of residents who are Non-Hispanic White all served as controls. RESULTS: Results of linear regression models showed that, after accounting for the controls, sexual harassment and gender-career biases among people in the state held significant, negative associations with women's life expectancy. CONCLUSION: The study contributes to the small but growing literature showing that negative workplace experiences and bias against women in the workplace negatively impact women's health.

Differences in life expectancy within and between countries: implications for domestic TAVI guidelines in Australia and Aotearoa New Zealand.

The advent of transcatheter aortic valve implantation (TAVI) has caused a paradigm shift in the management of aortic stenosis away from traditional surgical aortic valve replacement (SAVR). However, uncertainty remains about the long-term (>10 year) durability of TAVI valves, especially in younger patients. This viewpoint collates life expectancy data from Australia and Aotearoa New Zealand to propose sex-specific age-based recommendations for choice of SAVR versus TAVI in their respective general populations and among Aboriginal and Torres Strait Islander people in Australia and both Maori and Pacific peoples living in Aotearoa New Zealand.

Political factors, carbon emissions, and life expectancy in India: Implications for the Sustainable Development Goal 3.

This study examines the nexus among political factors, carbon emissions, and life expectancy between 1990 and 2020 in India. Data for this study was extracted from the World Bank Development indicators, after which it was subjected to econometrics analysis. The results showed that on averages, between 1990 and 2020, India experienced a life expectancy around 65 years. Fossil fuel energy consumption represents a small proportion of total energy consumption in India. However, carbon emissions and life expectancy have a positive and significant relationship. Fossil fuel usage and life expectancy possess a significantly positive relationship (FFEC = 0.044128, P-value = 0.0023) Moreover, government effectiveness and life expectancy have a significant direct relationship. Political stability and life expectancy have a significant negative relationship in the country. We conclude that policymakers in India should ensure that carbon emissions and fossil fuel usage in India do not pose a threat to life expectancy. Efforts should be put in place by policymakers in India to increase life expectancy , a strategic component of SDG 3- good health and well being for all at all ages, by ensuring stable political climate, good governance and efficient health enhanced public policies.

Cette étude examine le lien entre les facteurs politiques, les émissions de carbone et l'espérance de vie entre 1990 et 2020 en Inde. Les données de cette étude ont été extraites des indicateurs de développement de la Banque mondiale, après quoi elles ont été soumises à une analyse économétrique. Les résultats ont montré qu'en moyenne, entre 1990 et 2020, l'Inde a connu une espérance de vie d'environ 65 ans. La consommation d'énergie fossile représente une petite proportion de la consommation totale d'énergie en Inde. Cependant, les émissions de carbone et l'espérance de vie ont une relation positive et significative. L'utilisation de combustibles fossiles et l'espérance de vie possèdent une relation significativement positive (FFEC = 0,044128, valeur P = 0,0023). De plus, l'efficacité du gouvernement et l'espérance de vie ont une relation directe significative. La stabilité politique et l'espérance de vie ont une relation négative significative dans le pays. Nous concluons que les décideurs politiques indiens devraient veiller à ce que les émissions de carbone et l'utilisation de combustibles fossiles en Inde ne constituent pas une menace pour l'espérance de vie. Des efforts devraient être mis en place par les décideurs politiques indiens pour augmenter l'espérance de vie, une composante stratégique de l'ODD 3 - bonne santé et bien-être pour tous à tout âge, en garantissant un climat politique stable, une bonne gouvernance et des politiques publiques efficaces et améliorées en matière de santé.

[The gender aspects of changes in mortality during COVID-19 pandemic as exemplified by Moscow].

The mortality is a major component of damage caused by COVID-19. The comparative analysis of changes in mortality was carried out on the basis of the ROSSTAT data over 2012-2020 to determine differences in losses of male and female population caused by pandemic in Moscow. It is demonstrated that at close trends in mortality of males and females before pandemic, in 2020 their mortality changed differently. At equal increase of male and female mortality, main contribution into excess mortality (excluding contribution of COVID-19) was made approximately equally by diseases of nervous system and circulatory system in males and diseases of nervous system in females. The male mortality from COVID-19 is 1.9 times higher than female mortality. As a result of younger average age of death the amount of economic losses in terms of years of potential life lost (PYLL) due to premature death of males because of COVID-19 exceeds economic losses due to premature death of females up to 2 times. Although the average age of death of females from all causes decreased by smaller amount, their values of PYLL increased more, mainly due to higher rate of female mortality from disease of nervous system and from mortality related to drug addiction. In Moscow, the highest increase of PYLL is conditioned by dearth related to drug addiction and alcohol consumption. In the structure of this indicator in males they are ranked fourth and fifth. In females, alcohol-related deaths are ranked as sixth and drug-related deaths as eighth. The pandemic, contributing into increase in economic losses, didn't change their leading causes: diseases of circulatory system, external causes and neoplasms in males; neoplasms, diseases of circulatory system and external causes in females. The value of PYLL due to death from COVID-19 takes sixth place in males and fourth place in females.

Food insecurity, environment, institutional quality, and health outcomes: evidence from South Asia.

BACKGROUND: Food insecurity and environmental degradation pose significant threats to health outcomes in South Asia, necessitating effective policy interventions. Therefore, this study aims to examine the impact of food insecurity and environmental degradation on health outcome indicators amidst global inflationary shocks and institutional quality arrangements. Additionally, it aims to explore the intricate moderating role of institutional quality on the relationship between food insecurity, endogenous variables, and external shocks. METHOD: In alignment with the study's objectives, a set of panel data spanning from 2000 to 2021 is compiled for South Asia. The study introduces a novel variable representing inflationary shock, crafted through the integration of inflation datapoints and the application of the generalized autoregressive conditional heteroskedasticity model. Additionally, a distinctive aggregate institutional quality index is formulated, drawing from six key measures of the Worldwide Governance indicators. To scrutinize the effects of food insecurity, environmental degradation, and other explanatory variables, the study employs the two-step system generalized method of moment technique, offering a robust analytical approach to uncover complex relationships and dynamics in the region. RESULTS: The results indicate that the prevalence of undernourishment, inequality in per capita calorie intake, and CO2 emissions significantly reduce life expectancy and increase mortality rates. Additionally, it shows that per capita kilocalorie supply, per capita GDP, per capita health expenditures, and urbanization are statistically significant for increasing life expectancy and decreasing mortality rates. The findings reveal that inflationary shocks severely affect food insecurity and environmental factors, exerting further pressure on contemporary life expectancy and mortality rates. In rebuttal, the institutional quality index is found to have significant effects on increasing and decreasing life expectancy and mortality rates, respectively. Furthermore, the institutional quality index is effective in moderating the nexus between food insecurity, environmental degradation, and health outcomes while also neutralizing the negative impact of inflationary shocks on the subject. CONCLUSION: The results verify triple health constraints such as food insecurity, environmental factors, and economic vulnerability to global shocks, which impose severe effects on life expectancy and mortality rates. Furthermore, poor institutional quality is identified as a hindrance to health outcomes in South Asia. The findings suggest specific policy implications that are explicitly discussed.

Subnational inequalities in years of life lost and associations with socioeconomic factors in pre-pandemic Europe, 2009-19: an ecological study.

BACKGROUND: Health inequalities have been associated with shorter lifespans. We aimed to investigate subnational geographical inequalities in all-cause years of life lost (YLLs) and the association between YLLs and socioeconomic factors, such as household income, risk of poverty, and educational attainment, in countries within the European Economic Area (EEA) before the COVID-19 pandemic. METHODS: In this ecological study, we extracted demographic and socioeconomic data from Eurostat for 1390 small regions and 285 basic regions for 32 countries in the EEA, which was complemented by a time-trend analysis of subnational regions within the EEA. Age-standardised YLL rates per 100 000 population were estimated from 2009 to 2019 based on methods from the Global Burden of Disease study. Geographical inequalities were assessed using the Gini coefficient and slope index of inequality. Socioeconomic inequalities were assessed by investigating the association between socioeconomic factors (educational attainment, household income, and risk of poverty) and YLLs in 2019 using negative binomial mixed models. FINDINGS: Between Jan 1, 2009, and Dec 31, 2019, YLLs lowered in almost all subnational regions. The Gini coefficient of YLLs across all EEA regions was 14·2% (95% CI 13·6-14·8) for females and 17·0% (16·3 to 17·7) for males. Relative geographical inequalities in YLLs among women were highest in the UK (Gini coefficient 11·2% [95% CI 10·1-12·3]) and among men were highest in Belgium (10·8% [9·3-12·2]). The highest YLLs were observed in subnational regions with the lowest levels of educational attainment (incident rate ratio [IRR] 1·19 [1·13-1·26] for females; 1·22 [1·16-1·28] for males), household income (1·35 [95% CI 1·19-1·53]), and the highest poverty risk (1·25 [1·18-1·34]). INTERPRETATION: Differences in YLLs remain within, and between, EEA countries and are associated with socioeconomic factors. This evidence can assist stakeholders in addressing health inequities to improve overall disease burden within the EEA. FUNDING: Research Council of Norway; Development, and Innovation Fund of Hungary; Norwegian Institute of Public Medicine; and COST Action 18218 European Burden of Disease Network.

Socioeconomic differences in working life expectancy: a scoping review.

BACKGROUND: In the last decade, interest in working life expectancy (WLE) and socioeconomic differences in WLE has grown considerably. However, a comprehensive overview of the socioeconomic differences in WLE is lacking. The aim of this review is to systematically map the research literature to improve the insight on differences in WLE and healthy WLE (HWLE) by education, occupational class and income while using different ways of measuring and estimating WLE and to define future research needs. METHODS: A systematic search was carried out in Web of Science, PubMed and EMBASE and complemented by relevant publications derived through screening of reference lists of the identified publications and expert knowledge. Reports on differences in WLE or HWLE by education, occupational class or income, published until November 2022, were included. Information on socioeconomic differences in WLE and HWLE was synthesized in absolute and relative terms. RESULTS: A total of 26 reports from 21 studies on educational and occupational class differences in WLE or HWLE were included. No reports on income differences were found. On average, WLE in persons with low education is 30% (men) and 27% (women) shorter than in those with high education. The corresponding numbers for occupational class difference were 21% (men) and 27% (women). Low-educated persons were expected to lose more working years due to unemployment and disability retirement than high-educated persons. CONCLUSIONS: The identified socioeconomic inequalities are highly relevant for policy makers and pose serious challenges for equitable pension policies. Many policy interventions aimed at increasing the length of working life follow a one-size-fits-all approach which does not take these inequalities into account. More research is needed on socioeconomic differences in HWLE and potential influences of income on working life duration.

Factors influencing inequality in government health expenditures within African regional economic communities.

BACKGROUND: The unequal distribution of government health spending within African regional economic groupings is a significant barrier to achieving Universal Health Coverage and reaching health-related Sustainable Development targets. It also hampers the progress toward achieving the African Union's vision of an integrated and prosperous Africa, free of its heavy disease burden. Based on panel data from 36 countries nested into eight Regional Economic Communities (RECs), this study probes the effects of countries' macro-level factors on government health expenditure disparities within eight regional economic communities from 2000 to 2019. METHOD: We use the multilevel linear mixed-effect method to show whether countries' trade gains, life expectancy at birth, poverty, urbanization, information and communication technology, and population aging worsen or reduce the differences for two government health expenditure indicators. RESULTS: The insignificant effect of GDP per capita suggests that in most regional economic groupings, the health sector is still not considered a high-priority sector regarding overall government expenditures. Countries' poverty levels and urbanization increase the domestic general government health expenditure disparities as a percentage of general government expenditure within the regional groupings. However, trade gains and ICT diffusion reduce these disparities. Furthermore, the results reveal that external health expenditure per capita and life expectancy at birth positively impact within-regional inequalities in the domestic general government health expenditure per capita. In contrast, GDP per capita and trade gains tend to reduce them. CONCLUSIONS: This study enriches the research on the determinants of government health expenditure inequality in Africa. Policies that can spur growth in trade and ICT access should be encouraged. Countries should also make more efforts to reduce poverty. Governments should also develop policies promoting economic growth and planned urbanization.

Global, regional and national burdens of reproduction-related congenital birth defects, 1990-2019.

Background: Reproduction-related congenital birth defects (RCBDs), including Klinefelter syndrome (KS), Turner syndrome (TS), and urogenital congenital anomalies (UCA), can lead to severe physical and psychosocial disorders. The global impact of RCBDs on children and adults is unknown, which limits high-quality development of populations and increases in life expectancy per capita. Methods: Annual incidence rates, prevalence rates (PR), and disability-adjusted life year (DALY) rates were collected for KS, TS, and UCA for 204 countries and territories, including at birth, for children younger than 1 year, and age-standardized (AS) for all ages. Linear regression was used to calculate their estimated annual percentage changes (EAPCs). Finally, the relationships between EAPCs of each indicator and sociodemographic index (SDI) was investigated using Pearson correlation analysis. Results: Globally, the age-standardized prevalence rate (ASPR) trend is decreasing in KS and TS and increasing in UCA. The DALY rates for children younger than 1 year were on a downward trend in KS and UCA, while they were still rising for TS. The AS-DALY rates were all on a downward trend in KS, TS, and UCA. The DALY rates of KS, TS and UCA were found higher in high-income countries in North America. In addition, the burdens of TS and UCA went down with increasing SDI, whereas the burden of KS increased with increasing SDI. Conclusion: The global burdens of RCBDs have decreased since 1990. This finding can help policymakers implement cost-effective interventions to reduce the burdens of RCBDs.