A5080122515- Insurance, Mortality, Demography, Risk Management
- Global Health Care Issues
- Health disparities and outcomes
- Genetics, Aging, and Longevity in Model Organisms
- Birth, Development, and Health
- Genetic Associations and Epidemiology
- Demographic Trends and Gender Preferences
- Climate Change and Health Impacts
- Aging and Gerontology Research
- Intergenerational Family Dynamics and Caregiving
- demographic modeling and climate adaptation
- Cognitive Abilities and Testing
- Health, Environment, Cognitive Aging
- Health and Conflict Studies
- Epigenetics and DNA Methylation
- Nutrition, Genetics, and Disease
- Frailty in Older Adults
- Family Dynamics and Relationships
- Insect behavior and control techniques
- Assisted Reproductive Technology and Twin Pregnancy
- Health Systems, Economic Evaluations, Quality of Life
- Aging, Elder Care, and Social Issues
- Social and Demographic Issues in Germany
- Pregnancy and preeclampsia studies
- Nutrition and Health in Aging
University of Southern Denmark
2014-2023
Max Planck Institute for Demographic Research
2012-2021
Duke University
2012-2021
Max Planck Society
2008-2019
Johns Hopkins University
2019
Institut national d'études démographiques
2000-2018
Max Planck Institute for the Study of Societies
2016
Odense University Hospital
1993-2014
Social Science Research Council
2014
Sapienza University of Rome
2014
Optimal investment problem for a hybrid pension with intergenerational risk-sharing and longevity trend under model uncertainty,
"As a cohort of people, animals, or machines ages, the individuals at highest risk tend to die exit first. This differential selection can produce patterns mortality for population as whole that are surprisingly different from subpopulations individuals. Naive acceptance observed may lead erroneous policy recommendations if an intervention depends on response Furthermore, because individual level be simpler than composite patterns, both theoretical and empirical research unnecessarily...
It is generally assumed for most species that mortality rates increase monotonically at advanced ages. Mortality were found to level off and decrease older ages in a population of 1.2 million medflies maintained cages 7,200 group approximately 48,000 adults solitary confinement. Thus, life expectancy individuals increased rather than decreased with age. These results cast doubt on several central concepts gerontology the biology aging: (i) senescence can be characterized by an age-specific...
Introduction PART 1: A Theory of Regulation 1. Typical Justifications for 2. Cost-of-Service Ratemaking 3. Historically Based Price 4. Allocation under a Public Interest Standard 5. Setting 6. 7. Individualized Screening 8. Alternatives to Classical 9. General Guidelines Policy Makers 2: Appropriate Solutions 10. Match and Mismatch 11. Mismatch: Excessive Competition Airline 12. the Trucking Industry 13. Rent Control Natural Gas Field Prices 14. Partial Spillovers Environmental Pollution 15....
Month of birth influences adult life expectancy at ages 50+. Why? In two countries the Northern Hemisphere–Austria and Denmark–people born in autumn (October–December) live longer than those spring (April–June). Data for Australia show that, Southern Hemisphere, pattern is shifted by half a year. The lifespan British immigrants to similar that Austrians Danes significantly different from Australians. These findings are based on population data with more million observations little or no...
Experimental systems that are amenable to genetic manipulation can be used address fundamental questions about and nongenetic determinants of longevity. Analysis large cohorts ten genotypes Drosophila melanogaster raised under conditions favored extended survival has revealed variation between in both the slope location age-specific mortality curves. More detailed examination a single genotype showed trajectory was best fit by two-stage Gompertz model, with no increase rates beyond 30 days...
Abstract As a cohort of people, animals, or machines ages, the individuals at highest risk tend to die exit first. This differential selection can produce patterns mortality for population as whole that are surprisingly different from subpopulations individuals. Naive acceptance observed may lead erroneous policy recommendations if an intervention depends on response Furthermore, because individual level be simpler than composite patterns, both theoretical and empirical research...
Summary Schedules of survival, growth and reproduction are key life‐history traits. Data on how these traits vary among species populations fundamental to our understanding the ecological conditions that have shaped plant evolution. Because demographic schedules determine population or decline, such data help us understand different biomes shape ecology, communities respond global change develop successful management tools for endangered invasive species. Matrix models summarize life cycle...
An epigenetic profile defining the DNA methylation age (DNAm age) of an individual has been suggested to be a biomarker aging, and thus possibly providing tool for assessment health mortality. In this study, we estimated DNAm 378 Danish twins, 30–82 years, furthermore included 10-year longitudinal study 86 oldest-old twins (mean 86.1 at follow-up), which subsequently were followed mortality 8 years. We found that is highly correlated with chronological across all groups (r = 0.97), but rate...
Objectives To determine the contribution of progress in averting premature deaths to increase life expectancy and decline lifespan variation. Design International comparison national table data from Human Mortality Database. Setting 40 developed countries regions, 1840–2009. Population Men women all ages. Main outcome measure We use two summary measures mortality: disparity. Life disparity is a how much lifespans differ among individuals. define death as if postponing it later age would...
Women in almost all modern populations live longer than men. Research to date provides evidence for both biological and social factors influencing this gender gap. Conditions when men women experience extremely high levels of mortality risk are unexplored sources information. We investigate the survival sexes seven under extreme conditions from famines, epidemics, slavery. survived better men: In populations, they had lower across ages, and, with exception one slave population, lived on...