Skip to main content
main-content
Top

Tip

Swipe om te navigeren naar een ander artikel

Gepubliceerd in: Quality of Life Research 1/2013

01-02-2013

Quality-adjusted life expectancy (QALE) loss due to smoking in the United States

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

Gepubliceerd in: Quality of Life Research | Uitgave 1/2013

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

Estimate quality-adjusted life expectancy (QALE) loss due to smoking and examine trends and state differences in smoking-related QALE loss in the U.S.

Methods

Population health-related quality of life (HRQOL) scores were estimated from the Behavioral Risk Factor Surveillance System. This study constructed life tables based on U.S. mortality files and the mortality linked National Health Interview Survey and calculated QALE for smokers, non-smokers, and the total population.

Results

In 2009, an 18-year-old smoker was expected to have 43.5 (SE = 0.2) more years of QALE, and a non-smoker of the same age was expected to have 54.6 (SE = 0.2) more years of QALE. Therefore, smoking contributed 11.0 (SE = 0.2) years of QALE loss for smokers and 4.1 years (37%) of this loss resulted from reductions in HRQOL alone. At the population level, smoking was associated with 1.9 fewer years of QALE for U.S. adults throughout their lifetime, starting at age 18.

Conclusions

This study demonstrates an application of a recently developed QALE estimation methodology. The analyses show good precision and relatively small bias in estimating QALE––especially at the individual level. Although smokers may live longer today than before, they still have a high disease burden due to morbidities associated with poor HRQOL.
Bijlagen
Alleen toegankelijk voor geautoriseerde gebruikers
Literatuur
2.
go back to reference Mokdad, A. H., Marks, J. S., Stroup, D. F., & Gerberding, J. L. (2004). Actual cause of death in the United States, 2000. JAMA, 291(10), 1238–1245. PubMedCrossRef Mokdad, A. H., Marks, J. S., Stroup, D. F., & Gerberding, J. L. (2004). Actual cause of death in the United States, 2000. JAMA, 291(10), 1238–1245. PubMedCrossRef
3.
go back to reference Centers for Disease Control and Prevention (CDC). (2008). Smoking-attributable mortality, years of potential life lost, and productivity losses—United States, 2000–2004. MMWR, 57, 1226–1228. Centers for Disease Control and Prevention (CDC). (2008). Smoking-attributable mortality, years of potential life lost, and productivity losses—United States, 2000–2004. MMWR, 57, 1226–1228.
4.
go back to reference Centers for Disease Control and Prevention (CDC). (2010). Vital signs: nonsmokers’ exposure to secondhand smoke—United States, 1999–2008. MMWR, 59(35), 1141–1146. Centers for Disease Control and Prevention (CDC). (2010). Vital signs: nonsmokers’ exposure to secondhand smoke—United States, 1999–2008. MMWR, 59(35), 1141–1146.
5.
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.
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., Zack, M. M., & Thompson, W. W. (2011). State quality-adjusted life expectancy for U.S. adults from 1993 to 2008. Quality of Life Research, 20(6), 853–863. PubMedCrossRef Jia, H., Zack, M. M., & Thompson, W. W. (2011). State quality-adjusted life expectancy for U.S. adults from 1993 to 2008. Quality of Life Research, 20(6), 853–863. PubMedCrossRef
9.
go back to reference Kaplan, R. M., Anderson, J. P., & Kaplan, C. M. (2008). Modeling quality-adjusted life expectancy loss resulting from tobacco use in the United States. Social Indicators Research, 81, 51–64. CrossRef Kaplan, R. M., Anderson, J. P., & Kaplan, C. M. (2008). Modeling quality-adjusted life expectancy loss resulting from tobacco use in the United States. Social Indicators Research, 81, 51–64. CrossRef
10.
go back to reference Kaplan, R. M., Bush, J. W., & Berry, C. C. (1976). Health status: Types of validity and the index of well-being. Health Service Research, 11(4), 478–507. Kaplan, R. M., Bush, J. W., & Berry, C. C. (1976). Health status: Types of validity and the index of well-being. Health Service Research, 11(4), 478–507.
11.
go back to reference Stewart, S. T., Cutler, D. M., & Rosen, A. B. (2009). Forecasting the effects of obesity and smoking on U.S. life expectancy. New England Journal of Medicine, 361, 2252–2260. PubMedCrossRef Stewart, S. T., Cutler, D. M., & Rosen, A. B. (2009). Forecasting the effects of obesity and smoking on U.S. life expectancy. New England Journal of Medicine, 361, 2252–2260. PubMedCrossRef
12.
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.
13.
go back to reference Mokdad, A. H., Stroup, D. F., & Giles, W. H. (2003). Behavioral risk factor surveillance team public health surveillance for behavioral risk factors in a changing environment. Recommendations from the behavioral risk factor surveillance team. MMWR Recommendations Report, 52(RR–9), 1–12. Mokdad, A. H., Stroup, D. F., & Giles, W. H. (2003). Behavioral risk factor surveillance team public health surveillance for behavioral risk factors in a changing environment. Recommendations from the behavioral risk factor surveillance team. MMWR Recommendations Report, 52(RR–9), 1–12.
14.
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 (Oxford), 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 (Oxford), 31(4), 496–505. CrossRef
15.
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.
16.
go back to reference Centers for Disease Control and Prevention (CDC). (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 (CDC). (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.
17.
go back to reference Centers for Disease Control and Prevention (CDC). (2008). Summary of the Health-Related Quality of Life (HRQOL) Surveillance Expert Panel. National Center for Chronic Disease Prevention and Health Promotion, Division of Adult and Community Health (DACH). Atlanta, Georgia. Centers for Disease Control and Prevention (CDC). (2008). Summary of the Health-Related Quality of Life (HRQOL) Surveillance Expert Panel. National Center for Chronic Disease Prevention and Health Promotion, Division of Adult and Community Health (DACH). Atlanta, Georgia.
18.
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
19.
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. PubMedCrossRef Jia, H., & Lubetkin, E. I. (2008). Estimating EuroQol EQ-5D scores from population healthy days data. Medical Decision Making, 28(4), 491–499. PubMedCrossRef
20.
go back to reference Jia, H., Zack, M. M., Moriarty, D. G., & Fryback, D. G. (2011). Predicting the EuroQol group’s EQ-5D index from CDC’s “Healthy Days” in a US sample. Medical Decision Making, 31(1), 174–185. PubMedCrossRef Jia, H., Zack, M. M., Moriarty, D. G., & Fryback, D. G. (2011). Predicting the EuroQol group’s EQ-5D index from CDC’s “Healthy Days” in a US sample. Medical Decision Making, 31(1), 174–185. PubMedCrossRef
21.
go back to reference Shaw, J. W., Johnson, J. A., & Coons, S. J. (2005). U.S. valuation of the EQ-5D health states: Development and testing of the D1 valuation model. Medical Care, 43, 203–220. PubMedCrossRef Shaw, J. W., Johnson, J. A., & Coons, S. J. (2005). U.S. valuation of the EQ-5D health states: Development and testing of the D1 valuation model. Medical Care, 43, 203–220. PubMedCrossRef
22.
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.
23.
go back to reference Rostron, B. (2011). Smoking-attributable mortality in the United States. Epidemiology, 22, 350–355. PubMedCrossRef Rostron, B. (2011). Smoking-attributable mortality in the United States. Epidemiology, 22, 350–355. PubMedCrossRef
25.
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
26.
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 Preventative Medicine, 38(2), 138–140. CrossRef Jia, H., & Lubetkin, E. I. (2010). Trends in quality-adjusted life-years lost contributed by smoking and obesity. American Journal of Preventative Medicine, 38(2), 138–140. CrossRef
27.
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
28.
go back to reference Caraballo, R. S., Giovino, G. A., Pechacek, T. F., & Mowery, P. D. (2001). Factors associated with discrepancies between self-reports on cigarette smoking and measured serum cotinine levels among person aged 17 years or older: Third National Health and Nutrition Examination Survey, 1988–1994. American Journal of Epidemiology, 153, 807–814. PubMedCrossRef Caraballo, R. S., Giovino, G. A., Pechacek, T. F., & Mowery, P. D. (2001). Factors associated with discrepancies between self-reports on cigarette smoking and measured serum cotinine levels among person aged 17 years or older: Third National Health and Nutrition Examination Survey, 1988–1994. American Journal of Epidemiology, 153, 807–814. PubMedCrossRef
Metagegevens
Titel
Quality-adjusted life expectancy (QALE) loss due to smoking in the United States
Auteurs
Haomiao Jia
Matthew M. Zack
William W. Thompson
Shanta R. Dube
Publicatiedatum
01-02-2013
Uitgeverij
Springer Netherlands
Gepubliceerd in
Quality of Life Research / Uitgave 1/2013
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-012-0118-6

Andere artikelen Uitgave 1/2013

Quality of Life Research 1/2013 Naar de uitgave