Rise, stagnation, and rise of Danish women’s life expectancy

Significance Life expectancy is the most commonly used measure of health status in a population. Life expectancy has increased rapidly in most western populations over the past two centuries. There has been an ongoing debate about the relative contribution of cohort and period effects on a nation’s life expectancy, but few concrete examples of strong cohort effects exist. In this study, we use demographic approaches to study cohort effects on the life expectancy of Danish women. We identify a clear-cut and strong cohort effect: the case of the interwar generations of Danish women. Health conditions change from year to year, with a general tendency in many countries for improvement. These conditions also change from one birth cohort to another: some generations suffer more adverse events in childhood, smoke more heavily, eat poorer diets, etc., than generations born earlier or later. Because it is difficult to disentangle period effects from cohort effects, demographers, epidemiologists, actuaries, and other population scientists often disagree about cohort effects’ relative importance. In particular, some advocate forecasts of life expectancy based on period trends; others favor forecasts that hinge on cohort differences. We use a combination of age decomposition and exchange of survival probabilities between countries to study the remarkable recent history of female life expectancy in Denmark, a saga of rising, stagnating, and now again rising lifespans. The gap between female life expectancy in Denmark vs. Sweden grew to 3.5 y in the period 1975–2000. When we assumed that Danish women born 1915–1945 had the same survival probabilities as Swedish women, the gap remained small and roughly constant. Hence, the lower Danish life expectancy is caused by these cohorts and is not attributable to period effects.

[1]  Guohua Li,et al.  A multiphase method for estimating cohort effects in age-period contingency table data. , 2010, Annals of epidemiology.

[2]  N Keiding,et al.  Long term mortality trends behind low life expectancy of Danish women , 2002, Journal of epidemiology and community health.

[3]  T. Valkonen,et al.  Mortality differentials between three populations--residents of Scandinavia, Scandinavian immigrants to Canada and Canadian-born residents of Canada, 1979-1985. , 1992, Health reports.

[4]  K. Juel Middellevetid og dødelighed i Danmark sammenlignet med i Sverige , 2008 .

[5]  K. Juel,et al.  Abstention from smoking extends life and compresses morbidity: a population based study of health expectancy among smokers and never smokers in Denmark , 2001, Tobacco control.

[6]  M. Mckee,et al.  Changes in life expectancy in Russia in the mid-1990s , 2001, The Lancet.

[7]  T. Valkonen,et al.  Contribution of deaths related to alcohol or smoking to the gender difference in life expectancy: Finland in the early 1990s. , 2004, European journal of public health.

[8]  K. Juel Increased mortality among Danish women: population based register study , 2000, BMJ : British Medical Journal.

[9]  P. Bjerregaard,et al.  Mortality and life expectancy in Denmark and in other European countriesWhat is happening to middle-aged Danes? , 2000 .

[10]  J. Lynch,et al.  Commentary: Social capital, social epidemiology and disease aetiology. , 2004, International journal of epidemiology.

[11]  N. Keiding,et al.  Women's death in Scandinavia — what makes Denmark different? , 2003, European Journal of Epidemiology.

[12]  S. Preston,et al.  PANEL ON UNDERSTANDING DIVERGENT TRENDS IN LONGEVITY IN HIGH-INCOME COUNTRIES , 2011 .

[13]  K. Helweg-larsen,et al.  Women in Denmark--why do they die so young? Risk factors for premature death. , 1998, Scandinavian journal of social welfare.

[14]  Alan D. Lopez,et al.  A descriptive model of the cigarette epidemic in developed countries , 1994 .

[15]  S. Preston,et al.  Sex Mortality Differentials in the United States: The Role of Cohort Smoking Patterns , 2005 .

[16]  E. Arriaga Measuring and explaining the change in life expectancies , 1984, Demography.

[17]  Eileen M. Crimmins,et al.  Inflammatory Exposure and Historical Changes in Human Life-Spans , 2004, Science.

[18]  J. Vaupel,et al.  Increased effect of the ApoE gene on survival at advanced age in healthy and long‐lived Danes: two nationwide cohort studies , 2010, Aging cell.

[19]  C. la Vecchia,et al.  Cancer mortality in Europe: effects of age, cohort of birth and period of death. , 1998, European journal of cancer.

[20]  S. Preston,et al.  Demography: Measuring and Modeling Population Processes , 2000 .

[21]  T. Holford Understanding the effects of age, period, and cohort on incidence and mortality rates. , 1991, Annual review of public health.

[22]  R. Tibshirani,et al.  Generalized Additive Models , 1986 .

[23]  T R Holford,et al.  The estimation of age, period and cohort effects for vital rates. , 1983, Biometrics.

[24]  T. Holford Analysing the temporal effects of age, period and cohort , 1992, Statistical methods in medical research.

[25]  S. Wood Generalized Additive Models: An Introduction with R , 2006 .

[26]  Michael Murphy,et al.  Samuel H. Preston, Patrick Heuveline and Michel Guillot, Demography: Measuring and Modeling Population Processes , 2001 .

[27]  W. O. Kermack,et al.  Death-rates in Great Britain and Sweden. Some general regularities and their significance. , 1934, International journal of epidemiology.

[28]  D Clayton,et al.  Models for temporal variation in cancer rates. II: Age-period-cohort models. , 1987, Statistics in medicine.

[29]  S. Richards Detecting year‐of‐birth mortality patterns with limited data , 2007 .

[30]  M. Murphy Reexamining the Dominance of Birth Cohort Effects on Mortality. , 2010, Population and development review.

[31]  Yang Yang Trends in U.S. adult chronic disease mortality, 1960–1999: age, period, and cohort variations , 2008, Demography.

[32]  N. Keiding,et al.  Causes of death behind low life expectancy of Danish women , 2006, Scandinavian journal of public health.

[33]  J. Menken,et al.  Age, period, and cohort effects in demography: a review. , 1982, Population index.

[34]  M. Mckee,et al.  Huge variation in Russian mortality rates 1984–94: artefact, alcohol, or what? , 1997, The Lancet.

[35]  J. Vaupel,et al.  Aging. It's never too late. , 2003, Science.

[36]  K. Juel [Life expectancy and mortality in Denmark compared to Sweden. What is the effect of smoking and alcohol?]. , 2008, Ugeskrift for laeger.

[37]  R. C. Willets,et al.  The Cohort Effect: Insights and Explanations , 2004, British Actuarial Journal.

[38]  P. Bjerregaard,et al.  [Average life expectancy and mortality in Denmark]. , 1993, Ugeskrift for laeger.

[39]  M. Mckee,et al.  Hazardous alcohol drinking and premature mortality in Russia: a population based case-control study , 2007, The Lancet.

[40]  J. Vaupel,et al.  It's Never Too Late , 2003, Science.

[41]  Paul H. C. Eilers,et al.  Flexible smoothing with B-splines and penalties , 1996 .

[42]  J. Vaupel,et al.  Comment on "Inflammatory Exposure and Historical Changes in Human Life-Spans" , 2005, Science.

[43]  D Clayton,et al.  Models for temporal variation in cancer rates. I: Age-period and age-cohort models. , 1987, Statistics in medicine.

[44]  R Doll,et al.  Mortality from smoking worldwide. , 1996, British medical bulletin.