Skip to main content
Top
Gepubliceerd in: Quality of Life Research 6/2011

01-08-2011

State Quality-Adjusted Life Expectancy for U.S. adults from 1993 to 2008

Auteurs: Haomiao Jia, Matthew M. Zack, William W. Thompson

Gepubliceerd in: Quality of Life Research | Uitgave 6/2011

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail

Abstract

Purpose

Quality-Adjusted Life Expectancy (QALE) is a summary measure of mortality and health-related quality of life (HRQOL) across different stages of life. This study developed a method to calculate state-level QALE for U.S. adults.

Methods

Population HRQOL data came from the Behavioral Risk Factor Surveillance System (BRFSS). Using age-specific deaths from the Mortality Summary File, this study constructed life tables to estimate life expectancy and QALE for all 50 States and the District of Columbia by sex and race from 1993 through 2008.

Results

From 1993 to 2008, the QALE of an U.S. adult at 18 years old had increased from 51.2 to 52.3 years. In 2006, states with the highest QALE were Hawaii (56.2), Minnesota (55.2), North Dakota (54.9), Iowa (54.7), and Nebraska (54.4), while the states with the lowest QALE were West Virginia (47.1), Mississippi (48.2), Alabama (48.5), Kentucky (48.5), and Oklahoma (49.0).

Conclusions

Because population HRQOL values and mortality statistics are available from existing and publicly accessible data and because formulas for the calculation of QALE and its standard error are easy to incorporate in a spreadsheet, State and local Health Departments can calculate QALE as a routine surveillance measurement for tracking their population’s health over time.
Literatuur
1.
go back to reference George, M. G., Tong, X., McGruder, H., Yoon, P., Rosamond, W., Winquist, A., et al. (2009). Centers for disease control and prevention (CDC). Paul Coverdell National Acute Stroke Registry Surveillance—four states, 2005–2007. MMWR. Surveillance Summaries, 58(7), 1–23. George, M. G., Tong, X., McGruder, H., Yoon, P., Rosamond, W., Winquist, A., et al. (2009). Centers for disease control and prevention (CDC). Paul Coverdell National Acute Stroke Registry Surveillance—four states, 2005–2007. MMWR. Surveillance Summaries, 58(7), 1–23.
2.
go back to reference Karch, D. L., Dahlberg, L. L., & Patel, N. (2010). Surveillance for violent deaths—National violent death reporting system, 16 States, 2007. MMWR. Surveillance Summaries, 59(4), 1–50. Karch, D. L., Dahlberg, L. L., & Patel, N. (2010). Surveillance for violent deaths—National violent death reporting system, 16 States, 2007. MMWR. Surveillance Summaries, 59(4), 1–50.
4.
go back to reference Gold, M. R., Siegel, J. E., Russell, R. B., & Weinstein, M. C. (1996). Cost-effectiveness in health and medicine. New York: Oxford University Press. Gold, M. R., Siegel, J. E., Russell, R. B., & Weinstein, M. C. (1996). Cost-effectiveness in health and medicine. New York: Oxford University Press.
5.
go back to reference Chiang, C. L. (1984). Statistical inference regarding life table functions. In C. L. Chiang (Ed.), The life table and its applications (pp. 153–167). Malabar, FL: Robert E. Krieger Publishers. Chiang, C. L. (1984). Statistical inference regarding life table functions. In C. L. Chiang (Ed.), The life table and its applications (pp. 153–167). Malabar, FL: Robert E. Krieger Publishers.
6.
go back to reference Shryock, H. S., Siegel, J. S., & Associates. (1976). The Methods and Materials of Demographics (edited by E. G. Stockwell). San Diego, CA: Academic Press. Shryock, H. S., Siegel, J. S., & Associates. (1976). The Methods and Materials of Demographics (edited by E. G. Stockwell). San Diego, CA: Academic Press.
7.
go back to reference Rosenberg, M. A., Fryback, D. G., & Lawrence, W. F. (1999). Computing population-based estimates of health-adjusted life expectancy. Medical Decision Making, 19, 90–97.PubMedCrossRef Rosenberg, M. A., Fryback, D. G., & Lawrence, W. F. (1999). Computing population-based estimates of health-adjusted life expectancy. Medical Decision Making, 19, 90–97.PubMedCrossRef
8.
go back to reference Jia, H., & Lubetkin, E. I. (2009). The statewide burden of obesity, smoking, low income and chronic diseases in the United States. Journal of Public Health (Oxf), 31(4), 496–505.CrossRef Jia, H., & Lubetkin, E. I. (2009). The statewide burden of obesity, smoking, low income and chronic diseases in the United States. Journal of Public Health (Oxf), 31(4), 496–505.CrossRef
9.
go back to reference US Centers for Disease Control and Prevention (CDC), National Center for Chronic Disease Prevention and Health Promotion, Division of Adult and Community Health (DACH). (2008). Summary of the Health-Related Quality of Life (HRQOL). Atlanta, GA: Surveillance Expert Panel. US Centers for Disease Control and Prevention (CDC), National Center for Chronic Disease Prevention and Health Promotion, Division of Adult and Community Health (DACH). (2008). Summary of the Health-Related Quality of Life (HRQOL). Atlanta, GA: Surveillance Expert Panel.
10.
go back to reference Frazier, E. L., Franks, A. L., & Sanderson, L. M. (1992). Using behavioral risk factor surveillance data. In Using chronic disease data: A handbook for public health practitioners (pp. 4.1–4.17). Atlanta GA: Centers for Disease Control and Prevention. Frazier, E. L., Franks, A. L., & Sanderson, L. M. (1992). Using behavioral risk factor surveillance data. In Using chronic disease data: A handbook for public health practitioners (pp. 4.1–4.17). Atlanta GA: Centers for Disease Control and Prevention.
11.
go back to reference Mokdad, A. H., Stroup, D. F., & Giles, W. H.; Behavioral Risk Factor Surveillance Team. (2003). Public health surveillance for behavioral risk factors in a changing environment. Recommendations from the Behavioral Risk Factor Surveillance Team. MMWR Recommendation Report, 52(RR–9), 1–12. Mokdad, A. H., Stroup, D. F., & Giles, W. H.; Behavioral Risk Factor Surveillance Team. (2003). Public health surveillance for behavioral risk factors in a changing environment. Recommendations from the Behavioral Risk Factor Surveillance Team. MMWR Recommendation Report, 52(RR–9), 1–12.
12.
go back to reference Centers for Disease Control and Prevention. (2000). Measuring Healthy Days: Population Assessment of Health-Related Quality of Life. U.S. Department of Health and Human Services. Centers for Disease Control and Prevention. National Center for Chronic Disease Prevention and Health Promotion. Division of Adult and Community Health. Centers for Disease Control and Prevention. (2000). Measuring Healthy Days: Population Assessment of Health-Related Quality of Life. U.S. Department of Health and Human Services. Centers for Disease Control and Prevention. National Center for Chronic Disease Prevention and Health Promotion. Division of Adult and Community Health.
13.
go back to reference Jia, H., Lubetkin, E. I., Moriarty, D. G., & Zack, M. M. (2007). A comparison of healthy days and EuroQol EQ-5D measures in two US adult samples. Applied Research in Quality of Life, 2, 209–221.CrossRef Jia, H., Lubetkin, E. I., Moriarty, D. G., & Zack, M. M. (2007). A comparison of healthy days and EuroQol EQ-5D measures in two US adult samples. Applied Research in Quality of Life, 2, 209–221.CrossRef
14.
go back to reference Jia, H., & Lubetkin, E. I. (2008). Estimating EuroQol EQ-5D scores from population healthy days data. Medical Decision Making, 28(4), 491–499. Jia, H., & Lubetkin, E. I. (2008). Estimating EuroQol EQ-5D scores from population healthy days data. Medical Decision Making, 28(4), 491–499.
15.
go back to reference Jia, H., Zack, M. M., Moriarty, D. G., & Fryback, D. G. (2010). Predicting the EuroQol Group’s EQ-5D index from CDC’s “Healthy Days” in a US sample. Medical Decision Making. doi:10.1177/0272989X10364845. Jia, H., Zack, M. M., Moriarty, D. G., & Fryback, D. G. (2010). Predicting the EuroQol Group’s EQ-5D index from CDC’s “Healthy Days” in a US sample. Medical Decision Making. doi:10.​1177/​0272989X10364845​.
16.
go back to reference Fryback, D. G., Dunham, N. C., Palta, M., Hanmer, J., Buechner, J., Cherepanov, D., et al. (2009). US norms for six generic health-related quality-of-life indexes from the national health measurement study. Medical Care, 45(12), 1162–1170.CrossRef Fryback, D. G., Dunham, N. C., Palta, M., Hanmer, J., Buechner, J., Cherepanov, D., et al. (2009). US norms for six generic health-related quality-of-life indexes from the national health measurement study. Medical Care, 45(12), 1162–1170.CrossRef
17.
go back to reference Fryback, D. G., Palta, M., Cherepanov, D., Bolt, D., & Kim, J. S. (2010). Comparison of 5 health-related quality-of-life indexes using item response theory analysis. Medical Decision Making, 30(1), 5–15. Epub 2009 Oct 20. Fryback, D. G., Palta, M., Cherepanov, D., Bolt, D., & Kim, J. S. (2010). Comparison of 5 health-related quality-of-life indexes using item response theory analysis. Medical Decision Making, 30(1), 5–15. Epub 2009 Oct 20.
18.
go back to reference Anderson, R. N. (1999). Method for constructing complete annual U.S. life tables. National Center for Health Statistics. Vital Health Statistics, 2(129). Anderson, R. N. (1999). Method for constructing complete annual U.S. life tables. National Center for Health Statistics. Vital Health Statistics, 2(129).
19.
go back to reference Silcocks, P. B. S., & Reza, D. A. J. (2001). Life expectancy as a summary of mortality in a population: Statistical considerations and suitability for use by health authorities. Journal of Epidemiology and Community Health, 55, 38–43.PubMedCrossRef Silcocks, P. B. S., & Reza, D. A. J. (2001). Life expectancy as a summary of mortality in a population: Statistical considerations and suitability for use by health authorities. Journal of Epidemiology and Community Health, 55, 38–43.PubMedCrossRef
20.
go back to reference Brocklebank, J. C., & Dickey, D. A. (2003). SAS for forecasting time series (2nd ed.). Cary, NC: SAS Institute Inc. Brocklebank, J. C., & Dickey, D. A. (2003). SAS for forecasting time series (2nd ed.). Cary, NC: SAS Institute Inc.
21.
go back to reference Zack, M. M., Moriarty, D. G., Stroup, D. F., Ford, E. S., & Mokdad, A. H. (2004). Worsening trends in adult health-related quality of life and self-rated health-United States, 1993–2001. Public Health Reports, 119(5), 493–505.PubMedCrossRef Zack, M. M., Moriarty, D. G., Stroup, D. F., Ford, E. S., & Mokdad, A. H. (2004). Worsening trends in adult health-related quality of life and self-rated health-United States, 1993–2001. Public Health Reports, 119(5), 493–505.PubMedCrossRef
22.
go back to reference Jia, H., Muennig, P., & Borawski, E. (2004). Comparison of small area analysis techniques for estimating county-level outcomes. American Journal of Preventive Medicine, 26(5), 453–460.PubMedCrossRef Jia, H., Muennig, P., & Borawski, E. (2004). Comparison of small area analysis techniques for estimating county-level outcomes. American Journal of Preventive Medicine, 26(5), 453–460.PubMedCrossRef
23.
go back to reference Muennig, P., Franks, P., Jia, H., Lubetkin, E., & Gold, M. R. (2005). The income-associated burden of disease in the United States. Social Science and Medicine, 61, 2018–2026.PubMedCrossRef Muennig, P., Franks, P., Jia, H., Lubetkin, E., & Gold, M. R. (2005). The income-associated burden of disease in the United States. Social Science and Medicine, 61, 2018–2026.PubMedCrossRef
24.
go back to reference Muennig, P., Lubetkin, E., Jia, H., & Franks, P. (2006). Gender and the burden of disease attributable to obesity. American Journal of Public Health, 96, 1662–1668.PubMedCrossRef Muennig, P., Lubetkin, E., Jia, H., & Franks, P. (2006). Gender and the burden of disease attributable to obesity. American Journal of Public Health, 96, 1662–1668.PubMedCrossRef
25.
go back to reference Jia, H., & Lubetkin, E. I. (2010). Trends in quality-adjusted life-years lost contributed by smoking and obesity. American Journal of Preventive Medicine, 38(2), 138–140.PubMedCrossRef Jia, H., & Lubetkin, E. I. (2010). Trends in quality-adjusted life-years lost contributed by smoking and obesity. American Journal of Preventive Medicine, 38(2), 138–140.PubMedCrossRef
26.
go back to reference Brazier, J., Roberts, J., & Deverill, M. (2002). The estimation of a preference-based measure of health from the SF-36. Journal of Health Economics, 21, 271–292.PubMedCrossRef Brazier, J., Roberts, J., & Deverill, M. (2002). The estimation of a preference-based measure of health from the SF-36. Journal of Health Economics, 21, 271–292.PubMedCrossRef
Metagegevens
Titel
State Quality-Adjusted Life Expectancy for U.S. adults from 1993 to 2008
Auteurs
Haomiao Jia
Matthew M. Zack
William W. Thompson
Publicatiedatum
01-08-2011
Uitgeverij
Springer Netherlands
Gepubliceerd in
Quality of Life Research / Uitgave 6/2011
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-010-9826-y

Andere artikelen Uitgave 6/2011

Quality of Life Research 6/2011 Naar de uitgave