Faltering mortality improvements at young-middle ages in high-income English-speaking countries.

BACKGROUND: Before the COVID-19 pandemic, stagnating life expectancy trends were reported in some high-income countries (HICs). Despite previous evidence from country-specific studies, there is a lack of comparative research that provides a broader perspective and challenges existing assumptions. This study aims to examine longevity trends and patterns in six English-speaking countries (Australia, Canada, Ireland, New Zealand, United Kingdom, United States) by combining period and cohort perspectives and to compare them with other HICs. METHODS: Using data from the Human Mortality and World Health Organization Mortality Databases, we estimated partial life expectancy, lifespan inequality and cohort survival differences for 1970-2021, as well as the contribution of causes of death to the gap in life expectancy between English-speaking countries and the average for other HICs in 2017-19. RESULTS: In the pre-pandemic period, the increase in life expectancy slowed in all English-speaking countries, except Ireland, mainly due to stagnating or rising mortality at young-middle ages. Relative to other HICs, those born in Anglophone countries since the 1970s experienced relative survival disadvantage, largely attributable to injuries (mainly suicides) and substance-related mortality (mainly poisonings). In contrast, older cohorts enjoyed advantages for females in Australia and Canada and for males in all English-speaking countries except the United States. CONCLUSIONS: Although future gains in life expectancy in wealthy societies will increasingly depend on reducing mortality at older ages, adverse health trends at younger ages are a cause for concern. This emerging and avoidable threat to health equity in English-speaking countries should be the focus of further research and policy action.

Survival in myotonic dystrophy type 1: a long time follow up-study with special reference to gastrointestinal symptoms.

Background: Myotonic dystrophy type 1 (DM1) is a monogenetic disease affecting many organs. Gastrointestinal symptoms are prevalent and of considerable consequences for affected individuals. The life expectancy is shortened and the objective of the study is to evaluate if gastrointestinal symptoms can predict the outcome of the disease. Method: Fifty-one patients with DM1 were interviewed regarding symptoms from the gastrointestinal tract in the mid-1990s. Survival of all patients was evaluated in 2023 and the impact of symptoms on survival was assessed. Results: At the beginning of the study, the mean age was 35.9 years, (median 37.0, 9-63). At the end of the study 47 out of the 51 patients were deceased at a mean age of 53.7 years (median 55.7, 32.5-79.0). Patients with the congenital form of DM1 (n = 6) died at an age of 46.0 years (median 45.2, 40.0-53.6). There was no correlation between the gastrointestinal symptoms and survival. Conclusion: Albeit prevalent and of considerable clinical consequence, gastrointestinal symptoms are not correlated to survival in myotonic dystrophy type 1.

Forecasting the effects of smoking prevalence scenarios on years of life lost and life expectancy from 2022 to 2050: a systematic analysis for the Global Burden of Disease Study 2021.

BACKGROUND: Smoking is the leading behavioural risk factor for mortality globally, accounting for more than 175 million deaths and nearly 4·30 billion years of life lost (YLLs) from 1990 to 2021. The pace of decline in smoking prevalence has slowed in recent years for many countries, and although strategies have recently been proposed to achieve tobacco-free generations, none have been implemented to date. Assessing what could happen if current trends in smoking prevalence persist, and what could happen if additional smoking prevalence reductions occur, is important for communicating the effect of potential smoking policies. METHODS: In this analysis, we use the Institute for Health Metrics and Evaluation's Future Health Scenarios platform to forecast the effects of three smoking prevalence scenarios on all-cause and cause-specific YLLs and life expectancy at birth until 2050. YLLs were computed for each scenario using the Global Burden of Disease Study 2021 reference life table and forecasts of cause-specific mortality under each scenario. The reference scenario forecasts what could occur if past smoking prevalence and other risk factor trends continue, the Tobacco Smoking Elimination as of 2023 (Elimination-2023) scenario quantifies the maximum potential future health benefits from assuming zero percent smoking prevalence from 2023 onwards, whereas the Tobacco Smoking Elimination by 2050 (Elimination-2050) scenario provides estimates for countries considering policies to steadily reduce smoking prevalence to 5%. Together, these scenarios underscore the magnitude of health benefits that could be reached by 2050 if countries take decisive action to eliminate smoking. The 95% uncertainty interval (UI) of estimates is based on the 2·5th and 97·5th percentile of draws that were carried through the multistage computational framework. FINDINGS: Global age-standardised smoking prevalence was estimated to be 28·5% (95% UI 27·9-29·1) among males and 5·96% (5·76-6·21) among females in 2022. In the reference scenario, smoking prevalence declined by 25·9% (25·2-26·6) among males, and 30·0% (26·1-32·1) among females from 2022 to 2050. Under this scenario, we forecast a cumulative 29·3 billion (95% UI 26·8-32·4) overall YLLs among males and 22·2 billion (20·1-24·6) YLLs among females over this period. Life expectancy at birth under this scenario would increase from 73·6 years (95% UI 72·8-74·4) in 2022 to 78·3 years (75·9-80·3) in 2050. Under our Elimination-2023 scenario, we forecast 2·04 billion (95% UI 1·90-2·21) fewer cumulative YLLs by 2050 compared with the reference scenario, and life expectancy at birth would increase to 77·6 years (95% UI 75·1-79·6) among males and 81·0 years (78·5-83·1) among females. Under our Elimination-2050 scenario, we forecast 735 million (675-808) and 141 million (131-154) cumulative YLLs would be avoided among males and females, respectively. Life expectancy in 2050 would increase to 77·1 years (95% UI 74·6-79·0) among males and 80·8 years (78·3-82·9) among females. INTERPRETATION: Existing tobacco policies must be maintained if smoking prevalence is to continue to decline as forecast by the reference scenario. In addition, substantial smoking-attributable burden can be avoided by accelerating the pace of smoking elimination. Implementation of new tobacco control policies are crucial in avoiding additional smoking-attributable burden in the coming decades and to ensure that the gains won over the past three decades are not lost. FUNDING: Bloomberg Philanthropies and the Bill & Melinda Gates Foundation.

Effects of agricultural carbon footprints and malnutrition on life expectancy in China.

This study explored the impact of carbon footprints and malnutrition on life expectancy in China over the periods of 2000 and 2021. Data from the World Bank Indicators database was utilized, and Dynamic Ordinary Least Squares (DOLS) was employed to analyse the extracted data. The results show that over the periods of 2000 and 2021, agricultural carbon footprints in China experienced a first sharp decline in 2015. In contrast, per capita food production in China rose from 88.29% in 2011 to over 108% in 2021. Within a space of a decade, the undernourished population in China was reduced by 78.8%. Moreover, per capita food production had a positive impact on life expectancy in China. Conversely, malnutrition exerted a negative and significant influence on life expectancy. Agricultural carbon footprints contributed a positive but insignificant impact on life expectancy, and GDP per capita growth increased life expectancy significantly in the country. We conclude that policymakers in China are should ensure that all citizens have access to food necessary to improve life span of the country`s population.

Cette étude a exploré l'impact de l'empreinte carbone et de la malnutrition sur l'espérance de vie en Chine sur les périodes 2000 et 2021. Les données de la base de données des indicateurs de la Banque mondiale ont été utilisées et la méthode des moindres carrés ordinaires dynamiques (DOLS) a été utilisée pour analyser les données extraites. Les résultats montrent qu'au cours des périodes 2000 et 2021, l'empreinte carbone agricole en Chine a connu une première forte baisse en 2015. En revanche, la production alimentaire par habitant en Chine est passée de 88,29 % en 2011 à plus de 108 % en 2021. en une décennie, la population sous-alimentée en Chine a diminué de 78,8 %. De plus, la production alimentaire par habitant a eu un impact positif sur l'espérance de vie en Chine. À l'inverse, la malnutrition exerce une influence négative et significative sur l'espérance de vie. L'empreinte carbone agricole a eu un impact positif mais insignifiant sur l'espérance de vie, et la croissance du PIB par habitant a considérablement augmenté l'espérance de vie dans le pays. Nous concluons que les décideurs politiques chinois doivent veiller à ce que tous les citoyens aient accès à la nourriture nécessaire pour améliorer la durée de vie de la population du pays.

Human life expectancy and season of birth in Taiwan: A retrospective cohort study.

Prior research has indicated a correlation between the birth season and life expectancy; however, many of these studies did not sufficiently account for comorbidities. In this comprehensive investigation, we aimed to meticulously explore the association between the birth month and life expectancy, giving due consideration to comorbidities. We used a robust dataset derived from Taiwan's National Health Insurance Research Database (2000-2013), which allowed us to conduct a thorough examination. We divided our participants into four groups based on their season of birth: spring, summer, autumn, and winter. Propensity score matching was used to ensure an equitable distribution of demographic and clinical characteristics across the groups. Propensity scores were computed using logistic regression. Our model incorporated a broad range of demographic factors and comorbidities, providing rigorous adjustment for potential confounders. Our findings revealed a significantly increased risk of all-cause mortality among individuals born in spring, even after stringent adjustment for demographic factors and comorbidities. People born in spring demonstrated a 1.05-fold increase in the risk of all-cause mortality, with a hazard ratio of 1.05 and a 95% confidence interval of 1.01-1.09. Our study provides compelling evidence that helps understand the potential long-term impacts of a person's birth season, which acts as a proxy for pregnancy / early-life environmental exposure, on life expectancy. These findings underscore the crucial need for additional research to illuminate the underlying biological and environmental mechanisms linking the birth season and lifespan of a person. The elucidation of these links could guide the development of innovative health promotion and disease prevention strategies that are tailored to an individual's birth season.

Polypharmacy and Therapeutic Inertia in Extreme Longevity: A Potential Clinical Ageism Scenario Secondary to Important Gaps in Clinical Evidence.

Population aging is a global health priority due to the dramatic increase in the proportion of older persons worldwide. It is also expected that both global life expectancy and disability-free life expectancy will increase, leading to a significant rise in the proportion of individuals with extreme longevity, such as non-agenarians and centenarians. The inaccuracy of clinical evidence on therapeutic interventions for this demographic could lead to biased decision-making, influenced by age-related beliefs or misperceptions about their therapeutic needs. This represents a potential clinical ageism scenario stemming from gaps in clinical evidence. Such biases can result in 2 significant issues that adversely affect the health status and prognosis of older persons: polypharmacy and therapeutic inertia. To date, documents on polypharmacy in non-agenarians and centenarians account for less than 0.35% of the overall available evidence on polypharmacy. Furthermore, evidence regarding therapeutic inertia is non-existent. The purpose of this letter is to discuss polypharmacy and therapeutic inertia as potential clinical ageism scenarios resulting from the clinical evidence gaps in extreme longevity.

Disability and its impact on life expectancy: heterogeneity across Mexican states.

BACKGROUND: The percentage of the world's population with disabilities is estimated to be 16%, although its distribution and intensity varies within nations. We aim to disentangle the degree and types of disabilities, estimate the years spent with more severe disabilities, and analyze their distribution across states and between sexes in Mexico. METHODS: The Mexican Census of 2020 includes information on disabilities, which allows the study of its national distribution. We used life tables and the Sullivan method to calculate the number of years spent with disability (NYSD) and its percentage with respect to life expectancy for each state and each sex. RESULTS: In Mexico, the population with disabilities is estimated to be 16.5%. Of this total, 69% have milder disabilities, while the remaining 31% have more severe disabilities. At age eighteen, there is a higher NYSD from more severe disabilities for females with 5.67 years (95% CI 5.66 to 5.69) as opposed to males with 3.66 years (95% CI 3.65 to 3.67). Across states, a more homogeneous distribution with lower NYSD is observed for men (between 2.44 and 5.69 years) than for women (4.14 and 8.08 years). A north-south division can also be observed, with particularly notorious disadvantages among coastal states, which is more distinctive among women. CONCLUSIONS: This study shows that comparing the number of years spent with disability and the total life expectancy between subpopulations is essential for monitoring the well-being of aging populations, guiding policy decisions, and promoting a society that values and supports all individuals, regardless of their abilities.

Table of life for beneficiaries of the Institute of Security and Social Services of State Workers (ISSSTE), Mexico 2021.

OBJECTIVE: Determine the life expectancy in the covered population of the Institute of Security and Social Services of State Workers in México for 2021. METHOD: We used the abrogated method from Reed-Merrel, for calculate the life expectancy in age groups. RESULTS: By 2021, life expectancy general was 79.51 years; 81.40 years and 78.91 years for woman and men, respectively. CONCLUSIONS: The calculated life expectancy not show a reduction in the population of federal and State employees in Mexico.

OBJETIVO: Determinar la esperanza de vida en la población amparada del Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado en México para 2021. MÉTODO: Se utilizó el método abreviado de Reed-Merrel para calcular la esperanza de vida en grupos quinquenales de edad. RESULTADOS: Para 2021, la esperanza de vida general fue de 79.51 años; de 81.40 años y 78.91 años para mujeres y para hombres, respectivamente. CONCLUSIONES: La esperanza de vida calculada no presentó reducción después de la pandemia de COVID-19 para la población de empleados federales de México en 2021.

Childhood and adult socioeconomic status influence on late-life healthy longevity: evidence from the Chinese longitudinal healthy longevity survey.

Background: Older people in low- and middle-income countries are more susceptible to the impact of childhood experiences. This study comprehensively examines how childhood socioeconomic status (SES) and adult SES collectively influence late-life healthy longevity from a life course perspective, providing insights for shaping health-related policies. Methods: This study analyzed data from the Chinese Longitudinal Healthy Longevity Survey (1998-2018) with 37,264 individuals aged 65 and above. Using R software, we applied continuous-time multi-state models incorporating the Rockwood frailty index with 38 indicators to assess participants' health. Childhood SES or life course SES trajectories were core explanatory variables, while age and gender were controlled. Multinomial regression estimated annual transition probabilities between different states, and the multi-state life table method calculated total and frailty-specific life expectancy (LE). Results: (1) Social mobility among older people in China showed an upward trend from childhood to adulthood. (2) Transition probabilities for robust-frailty, robust-dead, and frailty-dead increased with age, while frailty-robust decreased. Transition probabilities and LE varied across different childhood SES (low, medium, high) or life-course SES trajectory categories (low-low, low-medium, low-high, medium-low, medium-medium, medium-high, high-low, high-medium, high-high), with probabilities of robust-frailty, robust-dead, and frailty-dead decreasing sequentially across different categories, and frailty-robust increasing sequentially across different categories. Total LE, robust LE, and robust LE proportion increased sequentially across different categories, while frailty LE decreased sequentially across different categories. (3) Women had higher total LE and frailty incidence, but lower recovery rate, mortality risk, robust LE, and robust LE proportion compared to men. Conclusion: Favorable childhood SES and lifelong accumulation of SES advantages protect against frailty morbidity, improve recovery rate, reduce mortality risk, and increase total LE, robust LE, and robust LE proportion. High childhood SES has a stronger protective effect than high adult SES, indicating the lasting impact of childhood conditions on healthy longevity. Systematic interventions in education, food supply, and medical accessibility for children from impoverished families are crucial.

Evolving trends, regional differences, determinants, and disease sources of provincial-level health inequalities in china 1990-2019: a temporal convergence and novel triple decomposition analysis.

BACKGROUND: Promoting health equity has been a worldwide goal, but serious challenges remain globally and within China. Multiple decomposition of the sources and determinants of health inequalities has significant implications for narrowing health inequalities and improve health equity. METHODS: Life expectancy (LE), healthy life expectancy (HALE), age-standardized mortality rate (ASMR), and age-standardized disability-adjusted life-year (DALY) rates in 31 provinces of mainland China were selected as health status indicators, obtained from the Global Burden of Disease (GBD) database. Temporal convergence analysis was used to test the evolving trends of health status. Dagum's Gini coefficient decomposition was used to decompose the overall Gini coefficient based on intraregional and interregional differences. Oaxaca-Blinder decomposition was used to calculate contributions of determinants to interregional differences. The factor-decomposed Gini coefficient was used to analyze the absolute and marginal contribution of each component to overall Gini coefficients. RESULTS: From 1990-2019, China witnessed notable improvements in health status measured by LE, HALE, ASMR and age-standardized DALY rates.Nevertheless, the three regions (East, Central and West) exhibited significant inter-regional differences in health status, with the differences between the East and West being the largest. The adjusted short-term conditional ß-convergence model indicated that the inter-provincial differences in LE, HALE, ASMR, and age-standardized DALY rates significantly converged at annual rates of 0.31%, 0.35%, 0.19%, and 0.28% over 30 years. The overall Gini coefficients of LE, HALE, and age-standardized DALY rates decreased, while the ASMR exhibited an opposite trend. Inter-regional and intra-regional differences accounted for >70% and <30% of overall Gini coefficients, respectively. Attribution analysis showed that socioeconomic determinants explained 85.77% to 91.93% of the eastern-western differences between 2010-2019, followed by health system determinants explaining 7.79% to 11.61%. The source-analysis of Gini coefficients of ASMR and age-standardized DALY rates revealed that noncommunicable diseases (NCDs) made the largest and increasing absolute contribution, while communicable, maternal, neonatal, and nutritional diseases (CMNNDs) had a diminishing and lower impact. However, NCDs exerted a negative marginal effect on the Gini coefficient, whereas CMNNDs exhibited a positive marginal effect, indicating that controlling CMNNDs may be more effective in reducing health inequities. CONCLUSIONS: Regional differences are a major source of health inequities in China. Prioritizing prevention and control of CMNNDs, rather than NCDs, may yield more pronounced impacts on reducing health inequalities from the perspective of marginal effect, although NCDs remain the largest absolute contributor to health inequalities.

[Disease burden and economic burden of breast cancer in females in China: a synthesis analysis].

Objective: To understand the current and integrated disease burden and economic burden caused by breast cancer in females in China. Methods: Based on six updated data sources, including the series of Chinese Cancer Registry Annual Report, China Death Cause Surveillance Datasets, China Health Statistical Yearbook, GLOBOCAN, Cancer Incidence in Five Continents, Global Burden of Disease Study (GBD), the information about incidence, mortality and disability adjusted life years (DALY) of breast cancer were extracted for the analysis on the current incidence and time trend of breast cancer and predicted disease burden of breast cancer in females in China. Software Joinpoint was used for time trend analysis. The data of economic burden were systematically updated and analyzed by literature review. Results: 1) GLOBOCAN 2022 estimated that the age-standardized incidence rate (ASIR) age-standardized mortality rate (ASMR) and one- year prevalence rate of breast cancer in females were 33.0/100 000, 6.1/100 000 and 40.1/100 000, respectively, in China in 2022. According to Chinese Cancer Registry Annual Report, the ASIR and ASMR were 28.4/100 000 and 5.8/100 000, respectively, in 2018. The China Death Cause Surveillance Datasets showed that the ASMR was 4.5/100 000 in 2021, and the urban to rural area mortality ratio was 1.2∶1. GBD reported that the DALYs of breast cancer were 2.921 million in China in 2021, accounting for 14.4% of the global total. 2) Chinese Cancer Registry Annual Report data showed that the ASIR and ASMR of breast cancer decreased by 2.1% and 11.4%, respectively, in China from 2009 to 2018, while increased by 43.9% and 8.2% in rural area, respectively. The Joinpoint analysis showed that the average annual percentage change (AAPC) of ASIR and ASMR in China were -0.2% (P>0.05) and -1.6% (P<0.05). The AAPC of ASIR and ASMR in rural area were 3.9% (P<0.05) and 0.6% (P>0.05), and -0.3% (P>0.05) and -1.2% (P<0.05) in urban area, respectively. China Health Statistical Yearbook data showed that the urban ASMR decreased by 12.3% from 2014 to 2021 with AAPC of -2.6% (P<0.05). 3) The GLOBOCAN 2022 predicted that, the breast cancer case count and death count in China would be 387 776 and 111 133 by 2050, an increase of 8.6% and 48.2%, respectively, compared with 2022, the increases would be more obvious in people over 65 years old, an increase of 80.8% and 124.9%, respectively. 4) Thirteen individual- based studies reported that the median medical expenditure per patient (M=21 000 to 39 000 Yuan) and length of hospital stay (M=11.0 to 30.5 days) for breast cancer treatment decreased from 2010 to 2019, while the average medical expenditure per visit (M=9 000 to 23 000 Yuan) showed an upward trend. There was only one national-level analysis, which showed that the treatment cost of breast cancer was 25.24 billion Yuan in China in 2018, accounting for 6.4% of the total cancer treatment cost. Conclusions: According to the above updated multi-source data, the incidence and mortality of female breast cancer in China were stable in the past ten years, but the increasing trend in rural area should be noted. The direct medical expenditure of breast cancer treatment per case might decrease, but the population-level economic burden would remain heavy due to population aging.

Mortality in patients with major depressive disorder: A nationwide population-based cohort study with 11-year follow-up.

BACKGROUND: Major depressive disorder (MDD) is a leading cause of disability and premature mortality. This study compared the overall survival (OS) between patients with MDD and non-MDD controls stratified by gender, age, and comorbidities. METHODS: This nationwide population-based cohort study utilized longitudinal patient data (01/01/2010 - 12/31/2020) from the Hungarian National Health Insurance Fund database, which contains healthcare service data for the Hungarian population. Patients with MDD were selected and matched 1:1 to those without MDD using exact matching. The rates of conversion from MDD to bipolar disorder (BD) or schizophrenia were also investigated. RESULTS: Overall, 471,773 patients were included in each of the matched MDD and non-MDD groups. Patients with MDD had significantly worse OS than non-MDD controls (hazard ratio [HR] = 1.50; 95% CI: 1.48-1.51; males HR = 1.69, 95% CI: 1.66-1.72; females HR = 1.40, 95% CI: 1.38-1.42). The estimated life expectancy of patients with MDD was 7.8 and 6.0 years less than that of controls aged 20 and 45 years, respectively. Adjusted analyses based on the presence of baseline comorbidities also showed that patients with MDD had worse survival than non-MDD controls (adjusted HR = 1.29, 95% CI: 1.28-1.31). After 11 years of follow-up, the cumulative conversions from MDD to BD and schizophrenia were 6.8 and 3.4%, respectively. Converted patients had significantly worse OS than non-converted patients. CONCLUSIONS: Compared with the non-MDD controls, a higher mortality rate in patients with MDD, especially in those with comorbidities and/or who have converted to BD or schizophrenia, suggests that early detection and personalized treatment of MDD may reduce the mortality in patients diagnosed with MDD.

Increased cardiovascular morbidity and reduced life expectancy in a large Italian cohort of patients with resistance to thyroid hormone ß (RTHß).

OBJECTIVE: Decreased survival and higher cardiovascular morbidity have been recently reported in a UK cohort of 61 RTHß patients, but there is no evidence from other countries. DESIGN: Retrospective cohort study from an historical group of 284 Italian RTHß patients, diagnosed between 1984 and 2023. METHODS: We collected data on diagnosis of 284 cases and longitudinal data of 249 RTHß who carried heterozygous pathogenic variants in the THRB gene. We studied how thyroid function and recognized risk factors for cardiovascular disease, such as hypertension and diabetes, affected overall mortality and major cardiovascular events. RESULTS: The cumulative prevalence of sinus/supraventricular tachycardia and atrial fibrillation was 40% and 18%, respectively. FT4 values 57% higher than the upper limit of normal were associated with premature cardiovascular manifestations. Major cardiovascular events (MACEs) occurred in RTHß patients at a median age (IQR) of 59.4 years (50.4-66.4) and early mortality resulted in a mean of 11 years of life lost. While at univariable analysis hypertension, dyslipidemia, high fasting glucose/diabetes were also associated with MACEs, at multivariable analysis only age at diagnosis, increased fT4 levels, and male gender remained significantly associated with MACEs and age at diagnosis and higher fT4 levels with mortality. Previous thyroidectomy or radioiodine therapy had no statistically significant effect in the prevention of major cardiovascular events or all-cause mortality. CONCLUSIONS: These data should raise the general awareness on the cardiovascular risk and prompt a proactive cardiovascular monitoring in RTHß, especially in men and those with fT4 levels above 30 pmol/L.

Does subjective life expectancy matter in purchasing life insurance among middle-aged and older adult? Evidence from China.

Population-wide increase in life expectancy is a source of aggregate longevity risk. Life insurance is a natural instrument to manage the risk. Previous studies used chronological age to examine the relationship between aging and life insurance purchase, which ignored the impact of subjective life expectancy-the real perception of remaining time. Therefore, this study aims to fill the lack in this area and to explore in depth the relationship between subjective life expectancy and purchasing life insurance among middle-aged and older adult at micro perspective. This paper utilizes data from the China Health and Retirement Longitudinal Study (CHARLS) over a period of 4 years to construct both Probit and Tobit models. The findings reveal that subjective life expectancy positively affects the likelihood of participation and the extent of life insurance among the middle-aged and older adult population in China. IV model estimation results show good robustness of the results. Meanwhile, there is also heterogeneity in the effect with respect to gender, hukou, education and wealth. The findings provide new perspective to explain the subjective motivation of purchasing life insurance in China.

Lasting Legacy: The Enduring Relationship Between Racially Restrictive Housing Covenants and Health and Wellbeing.

Racially restrictive covenants in housing deeds, commonplace in Minnesota for houses built from the 1910s to the 1950s, provided a foundation for the myriad of policies that made it difficult for people of color to obtain housing. Though covenants were ruled illegal in 1968, their legacy continues to shape neighborhoods. The Mapping Prejudice Project's efforts in Hennepin County, Minnesota, produced the first systematic documentation of racially restrictive covenants. We use this novel data set to explore the relationship between historic covenants and current health and wellbeing outcomes. Using regression analysis to control for neighborhood level covariates, we compare previously covenanted neighborhoods to neighborhoods without covenants. Today, previously covenanted neighborhoods have higher life expectancy and lower rates of obesity, diabetes, coronary heart disease, and asthma than neighborhoods without racially restrictive covenants. Additionally, previously covenanted neighborhoods have less upward mobility for children from poorer households, and there are larger gaps in upward mobility between white and Black children. These findings contribute to a growing literature that shows racist policies, even decades after they are legally enforceable, leave an imprint on neighborhoods. Using the novel data from the Mapping Prejudice Project, we provide statistical analysis that confirms qualitative and anecdotal evidence on the role of racial covenants in shaping neighborhoods.

Healthy Aging in Colombia 2018 and Its Variation in Relation to Social Conditions.

The population aging in the region is occurring under scenarios of inequality, raising concerns about how the increase in life expectancy is experienced and what factors affect the quality of life of older adults. This research quantified the differentials of healthy aging in Colombia in 2018 and its association with social indicators through a cross-sectional, descriptive, and correlational observational study. Healthy aging was quantified using the Disability-Free Life Expectancy (DFLE) indicator and later correlated with social indicators and subjected to a Multiple Factor Analysis (MFA). The results showed a healthy life expectancy of 71.5 years for women and 66.9 years for men, with a disability expectancy of 8.3 and 6.4 years, respectively. Negative associations emerged with health problems, disability, lack of medical care, illiteracy, school absenteeism, and poverty, while higher education levels and retirement showed positive associations. The factor analysis by area of residence highlighted urban areas as conducive to healthy aging. In conclusion, the accelerated aging of the Colombian population faces health disparities that policies must address by improving education, economic security, and health services, especially for women and rural areas.

Modeling the Clinical and Economic Burden of Therapeutic Inertia in People with Type 2 Diabetes in Saudi Arabia.

INTRODUCTION: Therapeutic inertia in type 2 diabetes, defined as a failure to intensify treatment despite poor glycemic control, can arise due to a variety of factors, despite evidence linking improved glycemic control with reductions in diabetes-related complications. The present study aimed to evaluate the health and economic burden of therapeutic inertia in people with type 2 diabetes in Saudi Arabia. METHODS: The IQVIA Core Diabetes Model (v.9.0) was used to evaluate outcomes. Baseline cohort characteristics were sourced from Saudi-specific data, with baseline glycated hemoglobin (HbA1c) tested at 8.0%, 9.0%, and 10.0%. Modeled subjects were brought to an HbA1c target of 7.0% immediately or after delays of 1-5 years across time horizons of 3-50 years. Outcomes were discounted annually at 3.0%. Costs were accounted from a societal perspective and expressed in 2023 Saudi Arabian Riyals (SAR). RESULTS: Immediate glycemic control was associated with improved or equal life expectancy and quality-adjusted life expectancy and cost savings in all scenarios compared with delays in achieving target HbA1c. Combined cost savings ranged from SAR 411 (EUR 102) per person with a baseline HbA1c of 8.0% versus a 1-year delay over a 3-year time horizon, to SAR 21,422 (EUR 5291) per person with a baseline HbA1c of 10.0% versus a 5-year delay over a 50-year time horizon. Discounted life expectancy and quality-adjusted life expectancy were projected to improve by up to 0.4 years and 0.5 quality-adjusted life years (QALYs), respectively, with immediate glycemic control. CONCLUSION: Therapeutic inertia was associated with a substantial health and economic burden in Saudi Arabia. Interventions and initiatives that can help to reduce therapeutic inertia are likely to improve health outcomes and reduce healthcare expenditure.

Association of lifestyle with valvular heart disease progression and life expectancy among elderly people from different socioeconomic backgrounds.

BACKGROUND: Current cardiovascular prevention strategies are based on studies that seldom include valvular heart disease (VHD). The role of modifiable lifestyle factors on VHD progression and life expectancy among the elderly with different socioeconomic statuses (SES) remains unknown. METHODS: This cohort study included 164,775 UK Biobank participants aged 60 years and older. Lifestyle was determined using a five-factor scoring system covering smoking status, obesity, physical activity, diet, and sleep patterns. Based on this score, participants were then classified into "poor," "moderate," or "ideal" lifestyle groups. SES was classified as high or low based on the Townsend Deprivation Index. The association of lifestyle with major VHD progression was evaluated using a multistate mode. The life table method was employed to determine life expectancy with VHD and without VHD. RESULTS: The UK Biobank documented 5132 incident VHD cases with a mean follow-up of 12.3 years and 1418 deaths following VHD with a mean follow-up of 6.0 years. Compared to those with a poor lifestyle, women and men followed an ideal lifestyle had lower hazard ratios for incident VHD (0.66 with 95% CI, 0.59-0.73 for women and 0.77 with 95% CI, 0.71-0.83 for men) and for post-VHD mortality (0.58 for women, 95% CI 0.46-0.74 and 0.62 for men, 95% CI 0.54-0.73). When lifestyle and SES were combined, the lower risk of incident VHD and mortality were observed among participants with an ideal lifestyle and high SES compared to participants with an unhealthy lifestyle and low SES. There was no significant interaction between lifestyle and SES in their correlation with the incidence and subsequent mortality of VHD. Among low SES populations, 60-year-old women and men with VHD who followed ideal lifestyles lived 4.2 years (95% CI, 3.8-4.7) and 5.1 years (95% CI, 4.5-5.6) longer, respectively, compared to those with poor lifestyles. In contrast, the life expectancy gain for those without VHD was 4.4 years (95% CI, 4.0-4.8) for women and 5.3 years (95% CI, 4.8-5.7) for men when adhering to an ideal lifestyle versus a poor one. CONCLUSIONS: Adopting a healthier lifestyle can significantly slow down the progression from free of VHD to incident VHD and further to death and increase life expectancy for both individuals with and without VHD within diverse socioeconomic elderly populations.

[Is loneliness the future geriatric syndrome of the 21st century?] / ¿Es la soledad el futuro síndrome geriátrico del siglo XXI?

The aging of the world population is now an unquestionable fact. The World Health Organization (WHO) points out in its World Report on Aging and Health published in 2015 two main causes: the increase in life expectancy and the decrease in fertility rates. The United Nations (UN) announced that Spain will become the oldest country in the world in 2050, with 44% of citizens over 60 years of age and the median age of 55.2 years. Whether this event is interpreted optimistically or as a demographic problem will depend on the quality of the years of life gained.

El envejecimiento de la población mundial es ya un hecho incuestionable. La Organización Mundial de la Salud (OMS) señala en su Informe mundial sobre el envejecimiento y la salud publicado en 2015 dos causas principales: el aumento en la esperanza de vida y el descenso de las tasas de fecundidad. La Organización de Naciones Unidas (ONU) anunció que España llegará a ser el país más envejecido del mundo en 2050, siendo el 44% de la ciudadanía mayor de 60 años y la mediana de edad de 55,2 años. Si este acontecimiento es interpretado con optimismo o como un problema demográfico dependerá de la calidad de los años de vida ganados.

Gender disparities in multi-state health transitions and life expectancy among the ≥50-year-old population: A cross-national multi-cohort study.

Background: Understanding how disability progresses with ageing is important for shaping policies aimed at improving older adults' quality of life, especially when considering the global trends in ageing, life expectancy (LE), and gender disparity. We aimed to assess the health transition probabilities of daily living activities and their implications on LE and gender gaps in global middle-aged and elderly populations. Methods: In this multi-cohort study with a sample of 74 101 individuals aged ≥50 years, we analysed data from six international cohorts: the China Health and Retirement Longitudinal Study (CHARLS), the English Longitudinal Study of Ageing (ELSA), the Health and Retirement Study (HRS) in the USA, the Mexican Longitudinal Study of Ageing (MHAS), the Korean Longitudinal Study of Ageing (KLoSA), and the Survey of Health, Ageing and Retirement in Europe (SHARE). We estimated probabilities between robust health; disabilities related to instrumental activities of daily living (IADL) and basic activities of daily living (BADL); and mortality through multi-state Markov models. We included gender as a covariate in the models to calculate hazard ratios (HRs), while we calculated LE within the distinct health states of robust health, IADL disabilities, BADL disabilities, and mortality using the stochastic population analysis for complex events (SPACE) microsimulation. Results: Women had higher progressions to disability (IADL: HR = 1.392; BADL: HR = 1.356) compared to men, who conversely showed lesser progression from IADL to BADL disability (HR = 0.856) and lower mortality rates (span of HRs = 0.232-0.692). LE at age 50 favoured women (32.16-38.22 years) over men (28.99-33.58 years), yet they spent more time in states of disability. We otherwise observed significant regional and gender disparities in healthy LE. Conclusions: We identified ageing patterns in which longer lives are often coupled with extended periods of disability. Pronounced gender and regional differences indicate a need for targeted health interventions to address inequities and improve seniors' quality of life. Our findings highlight the necessity for policy interventions focussed on health equity to more completely respond to the demographic shift towards older populations.