Literature DB >> 19762651

The benefits of risk factor prevention in Americans aged 51 years and older.

Dana P Goldman1, Yuhui Zheng, Federico Girosi, Pierre-Carl Michaud, S Jay Olshansky, David Cutler, John W Rowe.   

Abstract

OBJECTIVES: We assessed the potential health and economic benefits of reducing common risk factors in older Americans.
METHODS: A dynamic simulation model tracked a national cohort of persons 51 and 52 years of age to project their health and medical spending in prevention scenarios for diabetes, hypertension, obesity, and smoking.
RESULTS: The gain in life span from successful treatment of a person aged 51 or 52 years for obesity would be 0.85 years; for hypertension, 2.05 years; and for diabetes, 3.17 years. A 51- or 52-year-old person who quit smoking would gain 3.44 years. Despite living longer, those successfully treated for obesity, hypertension, or diabetes would have lower lifetime medical spending, exclusive of prevention costs. Smoking cessation would lead to increased lifetime spending. We used traditional valuations for a life-year to calculate that successful treatments would be worth, per capita, $198,018 (diabetes), $137,964 (hypertension), $118,946 (smoking), and $51,750 (obesity).
CONCLUSIONS: Effective prevention could substantially improve the health of older Americans, and--despite increases in longevity--such benefits could be achieved with little or no additional lifetime medical spending.

Entities:  

Mesh:

Year:  2009        PMID: 19762651      PMCID: PMC2759785          DOI: 10.2105/AJPH.2009.172627

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  14 in total

1.  US valuation of the EQ-5D health states: development and testing of the D1 valuation model.

Authors:  James W Shaw; Jeffrey A Johnson; Stephen Joel Coons
Journal:  Med Care       Date:  2005-03       Impact factor: 2.983

2.  Disability and health care spending among medicare beneficiaries.

Authors:  Michael E Chernew; Dana P Goldman; Feng Pan; Baoping Shang
Journal:  Health Aff (Millwood)       Date:  2005       Impact factor: 6.301

3.  Consequences of health trends and medical innovation for the future elderly.

Authors:  Dana P Goldman; Baoping Shang; Jayanta Bhattacharya; Alan M Garber; Michael Hurd; Geoffrey F Joyce; Darius N Lakdawalla; Constantijn Panis; Paul G Shekelle
Journal:  Health Aff (Millwood)       Date:  2005       Impact factor: 6.301

4.  Technological advances in cancer and future spending by the elderly.

Authors:  Jayanta Bhattacharya; Baoping Shang; Catherine K Su; Dana P Goldman
Journal:  Health Aff (Millwood)       Date:  2005       Impact factor: 6.301

Review 5.  Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults--The Evidence Report. National Institutes of Health.

Authors: 
Journal:  Obes Res       Date:  1998-09

6.  The health and cost consequences of obesity among the future elderly.

Authors:  Darius N Lakdawalla; Dana P Goldman; Baoping Shang
Journal:  Health Aff (Millwood)       Date:  2005       Impact factor: 6.301

7.  Modeling valuations for EuroQol health states.

Authors:  P Dolan
Journal:  Med Care       Date:  1997-11       Impact factor: 2.983

8.  Long-term weight loss and changes in blood pressure: results of the Trials of Hypertension Prevention, phase II.

Authors:  V J Stevens; E Obarzanek; N R Cook; I M Lee; L J Appel; D Smith West; N C Milas; M Mattfeldt-Beman; L Belden; C Bragg; M Millstone; J Raczynski; A Brewer; B Singh; J Cohen
Journal:  Ann Intern Med       Date:  2001-01-02       Impact factor: 25.391

9.  A profile of the Medicare Current Beneficiary Survey.

Authors:  G S Adler
Journal:  Health Care Financ Rev       Date:  1994
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  22 in total

Review 1.  Simulation models of obesity: a review of the literature and implications for research and policy.

Authors:  D T Levy; P L Mabry; Y C Wang; S Gortmaker; T T-K Huang; T Marsh; M Moodie; B Swinburn
Journal:  Obes Rev       Date:  2010-10-26       Impact factor: 9.213

2.  Do Statins Reduce the Health and Health Care Costs of Obesity?

Authors:  Étienne Gaudette; Dana P Goldman; Andrew Messali; Neeraj Sood
Journal:  Pharmacoeconomics       Date:  2015-07       Impact factor: 4.981

3.  Raising the Social Security Entitlement Age.

Authors:  Julie Zissimopoulos; Barbara Blaylock; Dana P Goldman; John W Rowe
Journal:  Res Aging       Date:  2017-01

4.  Sleep health: can we define it? Does it matter?

Authors:  Daniel J Buysse
Journal:  Sleep       Date:  2014-01-01       Impact factor: 5.849

5.  The value of medical and pharmaceutical interventions for reducing obesity.

Authors:  Pierre-Carl Michaud; Dana P Goldman; Darius N Lakdawalla; Yuhui Zheng; Adam H Gailey
Journal:  J Health Econ       Date:  2012-05-09       Impact factor: 3.883

6.  Innovation in Heart Failure Treatment: Life Expectancy, Disability, and Health Disparities.

Authors:  Karen E Van Nuys; Zhiwen Xie; Bryan Tysinger; Mark A Hlatky; Dana P Goldman
Journal:  JACC Heart Fail       Date:  2018-03-07       Impact factor: 12.035

7.  Differences in health between Americans and Western Europeans: Effects on longevity and public finance.

Authors:  Pierre-Carl Michaud; Dana Goldman; Darius Lakdawalla; Adam Gailey; Yuhui Zheng
Journal:  Soc Sci Med       Date:  2011-06-02       Impact factor: 4.634

8.  Late life function and disability instrument in African American women: function component.

Authors:  Carolyn J Murrock; Jaclene A Zauszniewski
Journal:  Women Health       Date:  2011-07-22

9.  Substantial health and economic returns from delayed aging may warrant a new focus for medical research.

Authors:  Dana P Goldman; David Cutler; John W Rowe; Pierre-Carl Michaud; Jeffrey Sullivan; Desi Peneva; S Jay Olshansky
Journal:  Health Aff (Millwood)       Date:  2013-10       Impact factor: 6.301

10.  Early HIV treatment in the United States prevented nearly 13,500 infections per year during 1996-2009.

Authors:  Dana P Goldman; Timothy Juday; Daniel Seekins; Mark T Linthicum; John A Romley
Journal:  Health Aff (Millwood)       Date:  2014-03       Impact factor: 6.301

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