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Scoping Mortality Research: (Report of the Mortality Research Steering Group)

Published online by Cambridge University Press:  10 June 2011

C. Macdonald
C. Macdonald
Affiliation:
The Actuarial Profession, Napier House, 4 Worcester Street, Oxford, OX1 2AW, U.K. Tel: +44(0)1865 268238; E-mail: [email protected]
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Abstract

The Actuarial Profession is currently undertaking a review of its research strategy, and has decided to focus more resources on researching mortality developments. It is important that the profession is involved in partnerships with researchers from outside of the profession, bringing actuarial expertise into closer contact with other disciplines. We believe that collaboration between these different areas of expertise will provide important new insights in understanding mortality trends. This report represents the first step by the Mortality Developments Scoping Project Steering Group to map current research into mortality developments across a wide range of disciplines. The steering group is aware that the themes and literature discussed in this report are not exhaustive; however it does include areas of research not normally covered by the Actuarial Profession. The steering group welcomes comments on the report and suggestions for any areas which may not yet have been covered.

The main aim of this report is to provide an overview of the key areas of research into mortality developments across a wide range of disciplines, as well as areas of overlap and gaps in the research. The literature described is compiled from recommendations received by the Mortality Developments Scoping Project Steering Group from experts from different disciplines working in the area of mortality.

Key themes identified from recommended literature:

— the role of medicine in mortality reduction;

— the role of lifestyle and environment in mortality reduction, including smoking, socio-economic conditions and obesity;

— causes of death contributing to mortality reduction, in particular coronary heart disease;

— mortality reduction attributable to differing age groups;

— the relationship of active life expectancy to total gains in life expectancy;

— evidence of cohort effects on mortality improvement; and

— future trends in mortality developments.

Areas of overlap identified from recommended literature are:

— the overlap between literature examining the role of medicine in mortality decline and the influences on the decline in mortality from coronary heart disease; and

— the areas of overlap between various disciplines working in the field of mortality developments.

Gaps identified in recommended literature are:

— a lack of recommendations from social policy;

— few papers recommended on the role of lifestyle and behavioural factors on mortality;

— few papers recommended on causes of death other than coronary heart disease; and

— few papers recommended on potential threats to future mortality improvement.

Keywords

Mortality ImprovementsCohort EffectsCause of DeathAgeingLongevityLife Expectancy
Type
Sessional meetings: papers and abstracts of discussions
Information
British Actuarial Journal , Volume 15 , Issue 1 , March 2009 , pp. 33 - 83
Copyright
Copyright © Institute and Faculty of Actuaries 2009

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References

REFERENCES

Andziak, B., O'Connor, T.P., Qi, W., DeWaal, E.M., Pierce, A., Chaudhuri, A.R., Van Remmen, H. & Buffenstein, R. (2006). High oxidative damage levels in the longest-living rodent, the naked mole-rat. Aging Cell, 5(6), 463–471.CrossRefGoogle ScholarPubMed
Azambuja, M.I.R. (2004). Spanish flu and the early 20th century expansion of a coronary heart disease prone sub-population. Texas Heart Institute Journal, 31, 14–21.Google Scholar
Barker, D.J.D. (1994). Mothers, babies, and disease in later life. London: BMJ Publishing Group.Google Scholar
Bongaarts, J. (2006). How long will we live? Population and Development Review, 32, 605–628.CrossRefGoogle Scholar
Breakwell, C.et al. (2007). Trends in geographical variation in alcohol related deaths in the UK, 1991–2004. Health Statistics Quarterly, 35, Autumn.Google Scholar
Bunker, J.P. (1995). Medicine matters after all. Journal of the Royal College of Physicians of London, 29, 105–112.Google Scholar
Bunker, J.P. (2001). The role of medical care in contributing to health improvements within societies. International Journal of Epidemiology, 30, 1260–1263.CrossRefGoogle ScholarPubMed
Butland, B.et al. (2007). The foresight report tackling obesities: future choices — project report. Government Office for Science.Google Scholar
Cabinet, Office (2005). Making a difference: bereavement. Regulatory Impact Unit: London.Google Scholar
Caldwell, J.C. (2001). Population health in transition. Bulletin of the WHO, 79, 159–160.Google ScholarPubMed
Capewell, S. (2006). Commentary: predicting future coronary heart disease deaths in Finland and elsewhere. International Journal of Epidemiology, 35, 1253–1254.CrossRefGoogle ScholarPubMed
Capewell, S., MacIntyre, K., Stewart, S., Chalmers, J.W., Boyd, J., Finlayson, A.et al. (2001). Age, sex, and social trends in out-of-hospital cardiac deaths in Scotland 1986–95: a retrospective cohort study. The Lancet, 358, 1213–1217.CrossRefGoogle ScholarPubMed
Capewell, S., Morrison, C.E. & McMurray, J.J. (1999). Contribution of modern cardiovascular treatment and risk factor change to the decline in coronary heart disease mortality in Scotland between 1975 and 1994. Heart, 81, 380–386.CrossRefGoogle Scholar
Carnes, B., Nakasato, Y. & Olshansky, J. (2005). Medawar revisited: unresolved issues in research on ageing. Ageing Horizons, Autumn-Winter.Google Scholar
Caselli, G. & Lopez, A.D. (1996). Health and mortality among the elderly population. Oxford: Clarendon Press.CrossRefGoogle Scholar
Catalano, R. & Bruckner, T. (2006). Child mortality and cohort lifespan: a test of diminished entelechy. International Journal of Epidemiology, 35, 1264–1269.CrossRefGoogle ScholarPubMed
Cawthon, R.M., Smith, K.R., O'Brien, E., Sivatchenko, A. & Kerber, R.A. (2003). Association between telomere length in blood and mortality in people aged 60 years or older. The Lancet, 361, 393–395.CrossRefGoogle ScholarPubMed
Charlton, J. & Murphy, M. (eds) (1997). The health of adult Britain, 1841–1994; (vols 1 & 2). London: ONS.Google Scholar
Chatterjee, T., Macdonald, A.S. & Waters, H.R. (2008a). A model for ischaemic heart disease and stroke I: The model. Annals of Actuarial Science, 3, 45–81.CrossRefGoogle Scholar
Chatterjee, T., Macdonald, A.S. & Waters, H.R. (2008b). A model for ischaemic heart disease and stroke II: modelling obesity. Annals of Actuarial Science, 3, 83–103.CrossRefGoogle Scholar
Chatterjee, T., Macdonald, A.S. & Waters, H.R. (2008c). A model for ischaemic heart disease and stroke III: applications. Annals of Actuarial Science, 3, 105–119.CrossRefGoogle Scholar
Chesson, R. & Todd, C. (1996). Bereaved carers: recognising their needs. Elderly Care, 8, 16–18.CrossRefGoogle ScholarPubMed
Christensen, K., Johnson, T.E. & Vaupel, J. (2006). The quest for genetic determinants of human longevity: challenges and insights. Nature Reviews, Genetics, 7, 436–448.CrossRefGoogle ScholarPubMed
CMIB (Continuous Mortality Investigation Bureau) (2002a). An interim basis for adjusting the ‘92’ series mortality projections for cohort effects. Working paper 1, 1–47.Google Scholar
CMIB (2002b). Responses to the draft report entitled ‘A proposed interim basis for adjusting the ‘92’ Series mortality projections for cohort effects and further commentary thereon’. Working paper 2, 1–12.Google Scholar
CMIB (2006). Stochastic projection methodologies: further progress and P-spline model features, example results and implication Working paper 20, 187–154.Google Scholar
CMIB (2007). Working paper 25 — Stochastic projection methodologies: Lee-Carter model features, example results and implications, 1–37.Google Scholar
Corden, A., Sainsbury, R. & Sloper, P. (2001). Financial implication of the death of a child. London: Family Policy Studies Centre.Google Scholar
Cox, D.R. (1972). Regression models and life tables (with discussion). Journal of the Royal Statistical Society Series B, 34, 187–220.Google Scholar
Crimmins, E.M. & Finch, C.E. (2006). Infection, inflammation, height, and longevity. Proceedings of the National Academy of Sciences, 103, 498–503.CrossRefGoogle ScholarPubMed
Critchley, J., Liu, J., Zhao, D., Wei, W. & Capewell, S. (2004). Explaining the increase in coronary heart disease mortality in Beijing between 1984 and 1999. Circulation, 110, 1236–1244.CrossRefGoogle ScholarPubMed
Cummings, J.H. & Bingham, S.A. (1998). Diet and the prevention of cancer. British Medical Journal, 317, 1636–1650.CrossRefGoogle ScholarPubMed
Cutler, D.M., Rosen, A.B. & Vijan, S. (2006). The value of medical spending in the United States, 1960–2000. New England Journal of Medicine, 355, 920–927.CrossRefGoogle ScholarPubMed
Davey-Smith, G., Hart, C., Blane, D. & Hole, D. (1998). Adverse socio-economic conditions in childhood and cause specific adult mortality: prospective observational study. British Medical Journal, 316, 1631–1635.CrossRefGoogle Scholar
Davy, M. (2007). Socio-economic inequalities in smoking: an examination of generational trends in Great Britain. Health Statistics Quarterly, 34, summer, 25–34.Google Scholar
De Grey, A.D.N.J. (2003). Critique of the demographic evidence for ‘late-life non-senescence’. Biochemical Society Transactions, 31, 452–454.CrossRefGoogle ScholarPubMed
Doll, R. & Hill, A.B. (2004). The mortality of doctors in relation to their smoking habits: a preliminary report (Reprinted from British Medical Journal, 1954, ii; 1451–1455). British Medical Journal, 328(7455), 1529–1533.CrossRefGoogle Scholar
Drakeford, M. (1998). Last rights? Funerals, poverty and social exclusion. Journal of Social Policy, 27, 507–524.CrossRefGoogle Scholar
Flower, J.et al. (2000). Technical advances and the next 50 years of cardiology. Journal of the American College of Cardiology, 35, 81–90.CrossRefGoogle Scholar
Fries, J.F. (1980). Aging, natural death and the compression of morbidity. New England Journal of Medicine, 303, 130–135.CrossRefGoogle ScholarPubMed
Gavrilov, L.A. & Gavrilova, N.S. (2001). Reliability theory of ageing and longevity. Journal of Theoretical Biology, 213, 527–545.CrossRefGoogle Scholar
Gibbs, W. (2005). Obesity: an overblown epidemic. Scientific American, May.CrossRefGoogle ScholarPubMed
Gluckman, P.D., Hansom, M.A. & Beadle, A.S. (2007). Non-genomic transgenerational inheritance of disease risl. Biological Essays, 29, 143–154.Google Scholar
Gruenberg, E.M. (1977). The failure of success. Millbank Memorial Fund Quarterly, 60, 183–244.Google Scholar
Hippesley-Cox, J.et al. (2007). Derivation and validation of QRISK, a new cardiovascular disease risk score for the UK: prospective open cohort study. British Medical Journal, 335(7611) 136.CrossRefGoogle Scholar
Hoffmann, R. (2005). Do socioeconomic mortality differences increase with age? Demographic Research, 13, 35–62.CrossRefGoogle Scholar
Holden, K. & Brand, J. (2004). Income change and distribution upon widowhood: comparison of Britain, the United States and Germany. In (Overbye, E. & Kemp, P., eds.) Pensions: challenges and reforms. Ashgate: Aldershot.Google Scholar
House of Lords Science and Technology Committee (2008). Ageing: scientific aspects. London: The Stationery Office Limited.Google Scholar
Howse, K. (2005). Biodemography and longevity. Ageing Horizons, Autumn-Winter, 1–5.Google Scholar
Humble, R. & Wilson, B. (2008). Drivers of longevity projections in particular with reference to smoking. Paper presented to the Staple Inn Actuarial Society.Google Scholar
Huxley, R., Owen, C.G., Whincup, P.H., Cook, D.G., Colman, S. & Collins, R. (2004). Birth weight and subsequent cholesterol levels: exploration of the ‘fetal origins’ hypothesis. Journal of the American Medical Association, 292(22), 2755–2764.CrossRefGoogle ScholarPubMed
Janssen, F., Kunst, A.E. & The Netherlands Epidemiology and Demography Compression of Morbidity Research Group (2005). Cohort patterns in mortality trends among the elderly in seven European countries, 1950–99. International Journal of Epidemiology, 34, 1149–1159.CrossRefGoogle ScholarPubMed
Jenkinson, A. (2003). Past caring: the beginning not the end. Promenade Publishing: Edinburgh.Google Scholar
Kannisto, V. (1994). Development of oldest-old mortality, 1950–1990. Odense: Odense University Press.Google Scholar
Kaplan, E.L. & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53, 457–481.CrossRefGoogle Scholar
Kelly, M. & Capewell, S. (2004). Relative contributions of changes in risk factors and treatment to the reduction in coronary heart disease mortality. NHS Health Development Agency, briefing paper.Google Scholar
Kopelman, P.G. & Grace, C. (2004). New thoughts on managing obesity. Gut, 53, 1044–1053.CrossRefGoogle ScholarPubMed
Kuulasmaa, K., Tunstall-Pedoe, H., Dobson, A., Fortmann, S., Sans, S., Tolonen, H.et al. (2000). Estimation of contribution of changes in classic risk factors to trends in coronary-event rates across the WHO MONICA project populations. The Lancet, 355, 675–687.CrossRefGoogle ScholarPubMed
Kuzawa, C.W., Gluckman, P.D., Hanson, M.B. & Beedle, A. (2007). Evolution, developmental plasiticity and metabolic disease. In (Stearns, S.C., ed.), Evolution in health and disease. Oxford University Press.Google Scholar
Law, Commission (2007). Cohabitation: the financial consequences of relationship breakdown (Cm, 7182). The Law Commission: London.Google Scholar
Lawlor, D., Davey-Smith, A.G., Leon, D., Sterne, A.J. & Ebrahim, S. (2002). Secular trends in mortality by stroke subtype in the 20th century: a retrospective anaylsis. The Lancet, 360, 1818–1823.CrossRefGoogle Scholar
Lawlor, D.A., Smith, G.D., Leon, D., Sterne, A.J. & Ebrahim, S. (2003). Mortality trends by stroke subtype. Cardiology Review, 20, 25–30.Google Scholar
Lawlor, D.A., Smith, G.D., O'Callaghan, M., Alati, R., Mamun, A.A., Williams, G.M.et al. (2007). Epidemiologic evidence for the fetal over nutrition hypothesis: findings from the mater-university study of pregnancy and its outcomes. American Journal of Epidemiology, 165, 418–424.CrossRefGoogle Scholar
Lee, R.D. & Carter, L. (1992). Modelling and forecasting the time series of US mortality. Journal of the American Statistical Association, 87, 659–671.Google Scholar
Lynch, J.W., Smith, G.D., Kaplan, G.A. & House, J.S. (2000). Income inequality and mortality: importance to health of individual income, psychosocial environment, or material conditions. British Medical Journal, 320, 1200–1204.CrossRefGoogle ScholarPubMed
Macdonald, A.S., Gallop, A., Miller, P.K., Richards, S., Shah, J.R. & Willets, R. (2005). Projecting future mortality: towards a proposal for a stochastic methodology. Continuous Mortality Investigation Bureau working paper no. 15.Google Scholar
Mackenbach, J.P. (1996). The contribution of medical care to mortality decline: McKeown revisited. Journal of Clinical Epidemiology, 49, 1207–1213.CrossRefGoogle ScholarPubMed
Mackenbach, J.P., Looman, C.W.N., Knust, A.E. & Habbema, J.O. (1988). Post 1950 mortality trends and medical care: gains in life expectancy due to declines in mortality from conditions amenable to medical intervention in the Netherlands. Social Science and Medicine, 27, 889–894.CrossRefGoogle ScholarPubMed
McKeown, T. (1978). The role of medicine. Oxford: Basil Blackwell.Google Scholar
McLaughlin, E. & Ritchie, J. (1994). Legacies of caring: the experiences and circumstances of ex-carers. Health and Social Care in the Community, 2, 241–253.CrossRefGoogle Scholar
Mair, W., Goymer, P., Pletcher, S.D. & Partridge, L. (2003). Demography of dietary restriction and death in drosophila. Science, 301(5640), 1731–1733.CrossRefGoogle ScholarPubMed
Maher, J. & Macfarlene, A. (2004). Inequalities in infant mortality: trends by social class, registration status, mother's age and birthweight, in England and Wales, 1976–2000. Health Statistics Quarterly, 24, Winter, 14–22.Google Scholar
Manton, K. (1982). Changing concepts of morbidity and mortality in the elderly population. Millbank Memorial Fund Quarterly, 60, 183–244.CrossRefGoogle ScholarPubMed
Manton, K., Gu, X. & Lamb, V. (2006a). Change in chronic disability from 1982 to 2004/2005 as measured by long-term changes in function and health in the U.S. elderly population. Proceedings of the National Academy of Sciences, 103, 18374–18379.CrossRefGoogle ScholarPubMed
Manton, K., Gu, X. & Lamb, V. (2006b). Long term trends in life expectancy and active life expectancy in the US. Population and Development Review, 32, 81–105.CrossRefGoogle Scholar
Mesle, F. & Vallin, J. (2006). Diverging trends in female old age mortality: the US and the Netherlands versus France and Japan. Population and Development Review, 32, 123–145.CrossRefGoogle Scholar
Morris, R.W., Whincup, P.H., Emberson, J.R., Lampe, F.C., Walker, M. & Shaper, A.G. (2003). North-south gradients in Britain for stroke and CHD: are they explained by the same factors? Stroke, 34, 2604–2609.CrossRefGoogle ScholarPubMed
Nolte, E. & McKee, M. (2004). Does health care save lives? Avoidable mortality revisited.Google Scholar
Office of National Statistics (2006). Measuring pre-mature and avoidable mortality: ONS proposals for national indicators. Response to consultation. Office of National Statistics.Google Scholar
Olshansky, J. (2005). The future of human life expectancy. In: The uncertain future of longevity. London: Watson Wyatt.Google Scholar
Omran, A.R. (1971). The epidemiologic transition. A theory of the epidemiology of population change. Milbank Memorial Fund Quarterly, 49, 509–538.CrossRefGoogle ScholarPubMed
OPCS (1995). National population projections: 1992 based. London: Office of Population Censures and Surveys.Google Scholar
Peeters, A., Berendregt, J.J., Willekens, F., Mackenbach, J.P., Mamum, A.A. & Bonneux, L. (2003). Obesity on adulthood and its consequence for life expectancy. Annals of Internal Medicine, 138, 24–32.CrossRefGoogle ScholarPubMed
Phoenix, C. & de Grey, A.D.N.J. (2007). A model of aging as accumulated damage matches observed mortality patterns and predicts the life-expectancy effects of prospective interventions. Age, 29, 133–189.CrossRefGoogle Scholar
Richards, S.J., Ellam, R.J., Hubbard, J., Lu, J.L.C., Makin, S.J. & Miller, K.A. (2007). Two-dimensional mortality data: patterns and projections. British Actuarial Journal, 13, 479–555.CrossRefGoogle Scholar
Richards, S.J. & Jones, G.L. (2004). Financial aspects of longevity risk. Paper presented to the Staple Inn Actuarial Society.Google Scholar
Richards, S.J., Kirkby, J.G. & Currie, I.D. (2006). The importance of year of birth in two-dimensional mortality data. British Actuarial Journal, 12, 5–61.CrossRefGoogle Scholar
Robine, J. & Jagger, C. (2005). The relationship between increasing life expectancy and healthy life expectancy. Ageing Horizons, Autumn-Winter, 14–21.Google Scholar
Romeri, E. (2007). Alcohol related deaths by occupation, England and Wales, 2001–2005. Health Statistics Quarterly, 35, Autumn.Google Scholar
Shaw, M., Davey-Smith, G. & Dorling, D. (2005). Health inequalities and New Labour: how the promises compare with real progress. British Medical Journal, 330, 1016–1021.CrossRefGoogle ScholarPubMed
Shaw, M., Thomas, B., Davey-Smith, G. & Dorling, D. (2008). The grim reapers road map: an atlas of mortality in Britain. The Policy Press.Google Scholar
Society of Actuaries website (www.soa.org). This website lists several papers from the Society of Actuaries' ‘Living to be 100’ symposium, held in January 2008.Google Scholar
Stroebe, M., Folkman, S., Hansson, R. & Schut, H. (2006). The predication of bereavement outcome: development of an integrative risk factor framework. Social Science and Medicine, 63, 2440–2451.CrossRefGoogle Scholar
Sverdrup, E. (1965). Estimates and test procedures in connection with stochastic models of deaths, recoveries and transfers between different states of health. Scandinavian Actuarial Journal, 184–211.CrossRefGoogle Scholar
Swerdlow, A., Dos Santos Silva, I. & Doll, R. (2001). Cancer incidence and mortality in England and Wales: trends and risk factors. Oxford: Oxford University Press.CrossRefGoogle Scholar
Thatcher, A.R. (1999). The long term pattern of adult mortality and the highest attained age (with discussion). Journal of the Royal Statistical Society Series A, 162, 5–43.CrossRefGoogle Scholar
The Information Centre (2006). Statistics on smoking: England 2006. Health and Social Care Centre.Google Scholar
Truelsen, T., Mahonen, M., Tolonen, H., Asplund, K., Bonita, R. & Vanuzzo, D. (2003). Trends in stroke and coronary heart disease in the WHO MONICA project. Stroke, 34, 1346–1352.CrossRefGoogle ScholarPubMed
Tuljapurkar, S., Li, N. & Boe, C. (2000). A universal pattern of mortality decline in the G7 countries. Nature, 405, 789–792.CrossRefGoogle ScholarPubMed
Tunstall-Pedoe, H. (2003). MONICA's quarter century. European Journal of Cardiovascular Prevention & Rehabilitation, 10, 409–410.CrossRefGoogle ScholarPubMed
Tunstall-Pedoe, H., Vanuzzo, D., Hobbs, M., Mahonen, M., Cepaitis, Z., Kuulasmaa, K.et al. (2000). Estimation of contribution of changes in coronary care to improving survival, event rates, and coronary heart disease mortality across the WHO MONICA project populations. The Lancet, 355, 688–700.CrossRefGoogle ScholarPubMed
Tyner, S.D., Venkatachalam, S., Choi, J., Jones, S., Ghebranious, N., Igelmann, H., Lu, X., Soron, G., Cooper, B., Brayton, C., Hee Park, S., Thompson, T., Karsenty, G., Bradley, A. & Donehower, L.A. (2002). p53 mutant mice that display early ageing-associated phenotypes. Nature, 415(6867), 45–53.CrossRefGoogle ScholarPubMed
Unal, B., Critchley, J.A. & Capewell, S. (2004). Explaining the decline in coronary heart disease mortality in England and Wales between 1981 and 2000. Circulation, 109(9), 1101–1107.CrossRefGoogle ScholarPubMed
Unal, B., Critchley, J.A. & Capewell, S. (2005a). Small changes in United Kingdom cardiovascular risk factors could halve coronary heart disease mortality. Journal of Clinical Epidemiology, 58, 733–740.CrossRefGoogle ScholarPubMed
Unal, B., Critchley, J.A. & Capewell, S. (2005b). Modelling the decline in coronary heart disease deaths in England and Wales 1981–2000: comparing contributions from primary prevention and secondary prevention. British Medical Journal, 331, 614.CrossRefGoogle ScholarPubMed
Unal, B., Critchley, J.A., Fidan, D. & Capewell, S. (2005c). Life-years gained from modern cardiological treatments and population risk factor changes in England and Wales, 1981–2000. American Journal of Public Health, 95, 103–108.CrossRefGoogle ScholarPubMed
Vaupel, J.W. (1997). The remarkable improvements in survival at older ages. Philosophical Transactions of the Royal Society of London — Series B: Biological Sciences, 352, 1799–1804.CrossRefGoogle ScholarPubMed
Vaupel, J.W. & Kistowski, K.G.V. (2005). Broken limits to life expectancy. Ageing Horizons, Autumn-Winter, 6–13.Google Scholar
Wald, N. & Law, M.R. (2003). A strategy to reduce cardiovascular disease by more than 80%. British Medical Journal, 326, 1419.CrossRefGoogle ScholarPubMed
Wanless, D. (2006). Securing good care for older people. London: King's Fund.Google Scholar
Wheller, L., Baker, A. & Griffiths, C. (2006). Trends in mortality in England and Wales, 1950–2004. National Statistics, 31, 34–41.Google Scholar
White, C., Glickman, M., Johnson, B. & Corbin, T. (2007). Social inequalities in adult male mortality by the National Statistics socio-economic classification, England and Wales, 2001–2003. Health Statistics Quarterly, 36, Winter, 6–23.Google Scholar
White, C., van Galen, F. & Chow, Y.H. (2003). Trends in social class differences in mortality by cause, 1986 to 2000. Health Statistics Quarterly, 20, Winter, 25–37.Google Scholar
White, C., Wiggens, R., Blane, D., Whitworth, A. & Glickman, M. (2005). Person, place or time? The effect of individual circumstances, area and changes over time on mortality in men, 1995–2001. Health Statistics Quarterly, 28, Winter, 18–27.Google Scholar
White, K.M. (2002). Longevity advances in high income countries, 1955–96. Population and Development Review, 28, 59–76.CrossRefGoogle Scholar
Willets, R.C. (1999). Mortality in the next millennium. Paper presented to the Staple Inn Actuarial Society.Google Scholar
Willets, R.C. (2004). The cohort effect: insights and explanations. British Actuarial Journal, 10, 833–877.CrossRefGoogle Scholar
Willets, R.C., Gallop, A.P., Leandro, P.A., Lu, J.L.C., Macdonald, A.S., Miller, K.A., Richards, S.J., Robjohns, N., Ryan, J.P. & Waters, H.R. (2004). Longevity in the 21st century. British Actuarial Journal, 10, 685–832.CrossRefGoogle Scholar
Wilmoth, J.R., Deegan, L.J., Lundstrom, H. & Horiuchi, S. (2000). Increase of maximum life-span in Sweden, 1861–1999. Science, 289(5488), 2366–2368.CrossRefGoogle ScholarPubMed
Wilmoth, J.R. & Horiuchi, S. (1999). Rectangularization revisited: variability of age at death within human populations. Demography, 36, 475–495.CrossRefGoogle ScholarPubMed
Yashin, A.I., Begun, A.S., Boiko, S.I., Ukraintseva, S.V. & Oeppen, J. (2001). The new trends in survival improvement require a revision of traditional gerentological concepts. Experimental Gerontology, 37(1), 157–167.CrossRefGoogle ScholarPubMed
Cournil, A. & Kirkwood, T.B.L. (2001). If you would live long, choose your parents well. Trends in Genetics, 17, 233–235.CrossRefGoogle ScholarPubMed