Inequalities in lifespan and mortality risk in the US, 2015-2019: a cross-sectional analysis of subpopulations by social determinants of health.

Objective: To quantify inequalities in lifespan across multiple social determinants of health, how they act in tandem with one another, and to create a scoring system that can accurately identify subgroups of the population at high risk of mortality.

Design: Comparison of life tables across 54 subpopulations defined by combinations of four social determinants of health: sex, marital status, education and race, using data from the Multiple Cause of Death dataset and the American Community Survey.

Setting: United States, 2015-2019.

Forecasting Inequalities in Survival to Retirement Age by Socioeconomic Status in Denmark and Sweden.

In Denmark and Sweden, statutory retirement age is indexed to life expectancy to account for mortality improvements in their populations. However, mortality improvements have not been uniform across different sub-populations. Notably, in both countries, individuals of lower socioeconomic status (SES) have experienced slower mortality improvements.

A modal age at death approach to forecasting adult mortality.

Recent studies have shown that there are some advantages to forecasting mortality with indicators other than age-specific death rates. The mean, median, and modal ages at death can be directly estimated from the age-at-death distribution, as can information on lifespan variation. The modal age at death has been increasing linearly since the second half of the twentieth century, providing a strong basis from which to extrapolate past trends.

Probability of males to outlive females: an international comparison from 1751 to 2020.

Objective: To measure sex differences in lifespan based on the probability of males to outlive females.

Design: International comparison of national and regional sex-specific life tables from the Human Mortality Database and the World Population Prospects.

Setting: 199 populations spanning all continents, between 1751 and 2020.

Demographic perspectives on the rise of longevity.

This article reviews some key strands of demographic research on past trends in human longevity and explores possible future trends in life expectancy at birth. Demographic data on age-specific mortality are used to estimate life expectancy, and validated data on exceptional life spans are used to study the maximum length of life. In the countries doing best each year, life expectancy started to increase around 1840 at a pace of almost 2.

Diversification in causes of death in low-mortality countries: emerging patterns and implications.

Introduction: An important role of public health organisations is to monitor indicators of variation, so as to disclose underlying inequality in health improvement. In industrialised societies, more individuals than ever are reaching older ages and have become more homogeneous in their age at death. This has led to a decrease in lifespan variation, with substantial implications for the reduction of health inequalities.

Understanding Differences in Cancer Survival between Populations: A New Approach and Application to Breast Cancer Survival Differentials between Danish Regions.

Large variations in cancer survival have been recorded between populations, e.g., between countries or between regions in a country.

Modeling and forecasting sex differences in mortality: a sex-ratio approach.

Female and male life expectancies have converged in most industrialized societies in recent decades. To achieve coherent forecasts between females and males, this convergence needs to be considered when forecasting sex-specific mortality. We introduce a model forecasting a matrix of the age-specific death rates of sex ratio, decomposed into two age profiles and time indices-before and after age 45-using principal component analysis.

[Who will be the first-born baby boomers at risk of financial vulnerability in retirement? A comparison of Quebec and Ontario].

The oncoming retirement of baby boomers has governments worried. Will individual baby boomers demonstrate the ability to prepare financially for their retirement? Well-being in retirement depends largely on financial preparedness during working life. Those baby boomers who are the most vulnerable at the end of their working lives are more likely to become vulnerable during retirement.