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Assessment of Reliability of Mortality and Morbidity in the 1998–2002 CLHLS Waves

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Healthy Longevity in China

Part of the book series: The Springer Series on Demographic Methods and Population Analysis ((PSDE,volume 20))

Abstract

This chapter assesses the reliability of mortality and self-reported morbidity in the first three waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Results indicate that the observed rates of all-cause mortality reported in the CLHLS are underestimated by 15–20 percent between 1998 and 2000 and by 5–20 percent for ages 80–90 when based on hazard-model estimates; however, no such differences are found between the 2000 and 2002 waves. Our analyses further show that mortality rates over age 90 in the CLHLS are more reliable than those obtained from the census. The quality of self-reported morbidity and its population prevalence is generally quite good compared to other national data sets. However, the analyses suggest that information collected from next-of-kin should be interpreted with caution. We find that cause-specific mortality rates estimated from reports by the next-of-kin are substantially biased and that the prevalence of the decedents’ morbidity reported by the next-of-kin is somewhat underestimated.

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References

  • Adams, P., M.D. Hurd, D. McFadden, A. Merrill, and T. Ribeiro (2005), Healthy, wealth, and wise? tests for direct causal paths between health and socioeconomic status. Journal of Econometric112, pp. 356

    Google Scholar 

  • Apolone, G., A. Cattaneo, P. Colombo, C. La Vecchia, L. Cavazzuti, and F. Bamfi (2002), Knowledge and opinion on prostate and prevalence of self-reported BPH and prostate-related events: A cross-sectional survey in Italy. European Journal of Cancer Prevention11 (5), pp. 473479

    Article  Google Scholar 

  • Banister, J. and K. Hill (2004), Mortality in China 19642000. Population Studies 58, pp. 5575

    Article  Google Scholar 

  • Beckett, M., M. Weinstein, N. Goldman, N., and Y.-H. Lin (2000), Doa health interview survey yield reliable data on chronic illness among older respondents? American Journal of Epidemiology151, pp. 315323

    Google Scholar 

  • China National Research Center on Aging (2003), Data analysis of the sampling of survey of the aged population in China.Beijing: China Standard Press

    Google Scholar 

  • Cleves, M.A., W.W. Gould, and R.G. Gutierrez (2004), An introduction survival analysis using STATA. Revised edition, College Station, TX: STATA Corporation

    Google Scholar 

  • Coale, A.J. and E.E. Kisker (1990), Defects in data on old-age mortality in the United States. Asia and Pacific Population Forum4, pp. 131

    Google Scholar 

  • Coale, A.J. and S. Li (1991), The effect of age misreporting in China on the calculation of mortality rates at very high ages. Demography28 (2), pp. 293301

    Article  Google Scholar 

  • Goodkind, D. (2004), The mortality of China’s oldest-old: Comparisons and questions from the Chinese Longitudinal Healthy Longevity Survey and the 2000 Census. Presented at the workshop on Determinants of Healthy Longevity in China. Max Planck Institute for Demographic Research (MPIDR), Rostock, Germany, August 24, 2004

    Google Scholar 

  • Gross, R., N. Bentur, A. Elhayany, M. Sherf, and L. Epstein (1996), The validity of self-reports on chronic disease: characteristics of underreporters and implications for the planning of services. Public Health Review24 (2), pp. 167182

    Google Scholar 

  • Gu, D. and J. Lu (2004), Age reporting of the minority oldest-old in the CLHLS.Presented at the workshop on Determinants of Healthy Longevity in China. Max Planck Institute for Demographic Research (MPIDR), Rostock, Germany, August 24, 2004

    Google Scholar 

  • Gu, D. and Zeng, Y. (2004), Sociodemographic effects on the onset and recovery of ADL disability among Chinese oldest-old. Demographic Research11, pp. 142

    Google Scholar 

  • Hawley, C.L. (2003), Is it ever enough to die of old age? Age and Ageing32, pp. 484–486

    Article  Google Scholar 

  • Horiuchi, S. and J.R. Wilmoth (1998), Deceleration in the age pattern of mortality at older ages. Demography35 (4), pp. 391412

    Article  Google Scholar 

  • Horner, J.S. and J.W. Horner (1998), Do doctors read forms? A one-year audit of medical certificates submitted to a crematorium. Journal of the Royal Society of Medicine91 (7), pp. 371376

    Google Scholar 

  • Hughes, S.L., P. Edelman, B. Naughton, R.H. Singer, P. Schuette, G. Liang, and R.W. Chang (1993), Estimates and determinants of valid self-reports of musculoskeletal disease in the elderly. Journal of Aging and Health 5, pp. 244263

    Article  Google Scholar 

  • Kannisto, V. (1994), Development of oldest-old mortality, 1950 1990: Evidence from 28 developed countries. Odense, Denmark: Odense University Press

    Google Scholar 

  • Kehoe, R., S-Y. Wu, M.C. Leske, and L.T. Chylack (1994), Comparing self-reported and physician-reported medical history. American Journal of Epidemiology 139, pp. 813818

    Google Scholar 

  • Klabunde, C.N., B.B. Reeve, L.C. Harlan, W.W. Davis, and A.L. Potosky (2005), Do patients consistently report comorbid conditions over time? Medical Care 43, pp. 391400

    Google Scholar 

  • Kriegsman, D.M., B.W. Penninx, J.T. van Eijk, A.J. Boeke, and D.J. Deeg (1996), Self-reports and general practitioner information on the presence of chronic diseases in community dwelling elderly: A study on the accuracy of patients’ self-reports and on determinants of inaccuracy. Journal of Clinical Epidemiology49 (12), pp. 14071417

    Article  Google Scholar 

  • Laditka, J.N. and D.A. Wolf (2004), Duration data from the National Long-Term Care Survey: a foundation for a dynamic multiple-indicator model of ADL dependency. Center for Policy Research, Working Paper No. 65. ISSN: 15253066. Maxwell School of Citizenship and Public Affairs, Syracuse University, New York

    Google Scholar 

  • Li, Y. (2005), Cause of death of the elderly in China. School of Public Health. Maryland: Johns Hopkins University

    Google Scholar 

  • Manton, K.G. and V.L. Lamb (2005), U.S. mortality, life expectancy, and active life expectancy at advanced ages: trends and forecasts. Paper presented at annual meeting of Population Association America, Philadelphia, March 30thApril 2nd, 2005

    Google Scholar 

  • Marshall, J.R. and S. Graham (1984), Use of dual responses to increase validity of casecontrol studies. Journal of Chronic Disease37, pp. 125136

    Article  Google Scholar 

  • Midthjell, K., J. Holmen, A. Bjomdal, and P.G. Lund-Larsen (1992), Is questionnaire information valid in the study of a chronic disease such as diabetes? the Nerd-Trondelag Diabetes Study. Journal of Epidemiology and Community Health46, pp. 537542

    Article  Google Scholar 

  • Myers, G.C., V.L. Lamb, and E.M Agree (2003), Patterns of disability change associated with the epidemiological transition. In: J.M. Robine, C. Jagger, C.D. Mathers, E.M. Crimmins, and R.M. Suzman (eds.): Determining health expectancies. West Sussex, England: Wiley, pp. 5974

    Google Scholar 

  • Robine, J.M. and J.-P. Michel (2004), Looking forward to a general theory on population. Journal of Gerontology: Medical Sciences59 (A), pp. 590597

    Google Scholar 

  • Satish, S., K.S. Markides, D. Zhang, and J.S. Goodwin (1997), Factors influencing unawareness of hypertension among older Mexican Americans. Preventive Medicine 26 (5), pp. 645650

    Article  Google Scholar 

  • Schrijvers, C.T.M., K. Stronks, D.H. van de Mheen, J.W.W. Coebergh, and J.P. Mack-Enbach (1994), Validation of cancer prevalence data from a postal survey by comparison with cancer registry records. American Journal of Epidemiology 139, pp. 408414

    Google Scholar 

  • Sprangers, M.A.G. and N.K. Aaronson (1992), The role of health care providers and significant others in evaluating the quality of life of patients with chronic disease: A review. Journal of Clinical Epidemiology 45, pp. 743–760

    Article  Google Scholar 

  • Tang, S.T. and R. McCorkle (2002), Use of family proxies in quality of life research for cancer patients at the end of life: a literature review. Cancer Investigation 20 (78), pp. 10861104

    Google Scholar 

  • Thatcher, A.R., V. Kannisto, and J.W. Vaupel (1998), The force of mortality at ages 80 to 120. Odense: Odense University Press. Online at http://www.demogr.mpg.de/Papers/ Books/Monograph5/ForMort.htm

    Google Scholar 

  • The United Kingdom General Registry Office (2001), Mortality statistics for England & Wales 1994 and 2000. http://www.gro.gov.uk/gro/content/

    Google Scholar 

  • Tormo, M.-J., C. Navarro, M.D. Chirlaque, X. Barber, and the EPIC Group of Spain (2000), Validation of self diagnosis of high blood pressure in a sample of the Spanish EPIC cohort: overall agreement and predictive values. Journal of Epidemiology and Community Health 54, pp.221226

    Google Scholar 

  • Vallin, J. (1973), La Mortalité par Génération en France. depuis 1899. Paris: Presses Universitaires de France pp. 483 (Travaux et Documents) (in French)

    Google Scholar 

  • Vaupel, J.W., J.R. Carey, K. Christensen, T.E. Johnson, A.I. Yashin, N.V. Holm, I.A. Iachine, V. Kannisto, A.A. Khazaeli, P. Liedo, V.D. Longo, Zeng, Y., K.G. Manton, and J.W. Curtsinger (1998), Biodemographic trajectories of longevity. Science 280 (5365), pp. 855–860

    Article  Google Scholar 

  • Vergara, C., A.M. Martin, F. Wang, and S. Horowitz (2004), Awareness about factors that affect the management of hypertension in Puerto Rican patients. Connecticut Medicine 68 (5), pp. 269276

    Google Scholar 

  • Zaslavsky, A.M. and M. J. Buntin (2002), Using survey measures to assess risk selection among Medicare managed care plans. Inquiry39 (2), pp. 13851

    Google Scholar 

  • Zeng, Y., D. Gu, and K.C. Land (2004), A new method for correcting underestimation of disabled life expectancy and an application to the Chinese oldest-old. Demography41 (2), pp. 335361

    Article  Google Scholar 

  • Zeng, Y. and J.W. Vaupel (2003), Oldest-old mortality in China. Demographic Research 8, pp. 215244

    Google Scholar 

  • Zhang, Z. and Q. Li (2004), Do possible age-exaggerations in minorities substantially impact the mortality risk of the oldest-old in the CLHLS? Presented at the workshop on Determinants of Healthy Longevity in China. Max Planck Institute for Demographic Research (MPIDR), Rostock, Germany, August 24, 2004

    Google Scholar 

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Gu, D., Dupre, M.E. (2008). Assessment of Reliability of Mortality and Morbidity in the 1998–2002 CLHLS Waves. In: Yi, Z., Poston, D.L., Vlosky, D.A., Gu, D. (eds) Healthy Longevity in China. The Springer Series on Demographic Methods and Population Analysis, vol 20. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6752-5_6

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