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A Potential Decline in Life Expectancy in the United States in the 21st Century
Abstract
Estimates of future life expectancy strongly influence public policy on age-based entitlement programs such as Social Security and Medicare. Although recent estimates of how long Americans will live in this century have predicted an increase, the authors believe that current trends in obesity in the United States may end the slow but steady increase in life expectancy that has taken place in the past 2 centuries. In the past 3 decades, the rise in life expectancy at birth has decelerated in the context of historical trends. Recent exploration by experts, including mathematical demographers, predicts a more rapid rate of increase in life expectancy for the U.S. population than has been anticipated. At present, however, there is no life-extending technology that might lead to much higher estimates of life expectancy and, even if such technology is developed, it would have to be widely implemented before influencing statistics on population levels. Potential technology does not warrant revising forecasts of life expectancy. Since the 1970s, obesity has become approximately 50% more prevalent per decade. Fully two thirds of U.S. adults now are obese or overweight. Extreme obesity has increased at a particularly rapid rate. Obesity is associated with an increased risk of type 2 diabetes, coronary heart disease, cancer, and other conditions. Being overweight in childhood increases the risk of death from any cause and also death from cardiovascular disease in men and cardiovascular morbidity increases in both men and women. Unless measures are taken to halt the rising prevalence of obesity, an increased risk of many fatal and nonfatal conditions can be expected as people become older. The authors have estimated the effect of obesity on life expectancy in the United States by determining the reduction in death rates that would occur should every person who currently is obese were to lose enough weight to achieve an “optimal” body mass index of 24 kg/m2. A conservative estimate is that life expectancy at birth in the United States would, if there was no obesity, be higher by 0.33 to 0.93 year for white males, 0.30 to 0.8 year for white females, 0.30 to 1.08 year for black males, and 0.21 to 0.73 year for black females. If current rates of death associated with obesity remain the same in this century, life expectancy would decline from one third to three fourths of a year. This is greater than the negative effect of all accidental deaths combined, and in time it probably would rapidly approach—or exceed—the negative effects on life expectancy of ischemic heart disease or cancer. Young people today may live less healthy and possibly shorter lives than their parents. The authors believe that the life-shortening effect of obesity could increase to 2 to 5 years or even more in the coming decades as younger obese individuals carry their increased mortality risk into middle age and old age.
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Morrow, M. L., Heesch, K. C., Dinger, M. K., Hull, H. R., Kneehans, A. W., & Fields, D. A. (2006) · Obesity · doi:10.1038/oby.2006.163 · Cited by 84
Po'e, E. K., Heerman, W. J., Mistry, R. S., & Barkin, S. L. (2013) · Contemporary Clinical Trials · doi:10.1016/j.cct.2013.08.013 · Cited by 78
Toward Objective Monitoring of Ingestive Behavior in Free‐living Population
Sazonov, E. S., Schuckers, S. A. C., Lopez‐Meyer, P., Makeyev, O., Melanson, E. L., Neuman, M. R., & Hill, J. O. (2009) · Obesity · doi:10.1038/oby.2009.153 · Cited by 74
Caloric restriction and exercise “mimetics”: ready for prime time
Handschin, C. (2016) · Pharmacological Research · doi:10.1016/j.phrs.2015.11.009 · Cited by 72
Obesity Research—Limitations of Methods, Measurements, and Medications
Simons-Morton, D. G. (2006) · JAMA · doi:10.1001/jama.295.7.826 · Cited by 70
Obesity and Cancer: An Angiogenic and Inflammatory Link
Fukumura, D., Incio, J., Shankaraiah, R. C., & Jain, R. K. (2016) · Microcirculation · doi:10.1111/micc.12270 · Cited by 69
Reither, E. N., Olshansky, S. J., & Yang, Y. (2011) · Health Affairs · doi:10.1377/hlthaff.2011.0092 · Cited by 69
Self-citationHave we entered the brown adipose tissue renaissance?
Ravussin, E., & Kozak, L. P. (2009) · Obesity Reviews · doi:10.1111/j.1467-789x.2008.00559.x · Cited by 65
The Veggie Project: A Case Study of a Multi-component Farmers’ Market Intervention
Freedman, D. A., Bell, B. A., & Collins, L. V. (2011) · The Journal of Primary Prevention · doi:10.1007/s10935-011-0245-9 · Cited by 61
Adherence to the obesity-related lifestyle intervention targets in the IDEFICS study
on behalf of the IDEFICS consortium, Kovács, E., Siani, A., Konstabel, K., Hadjigeorgiou, C., de Bourdeaudhuij, I., Eiben, G., Lissner, L., Gwozdz, W., Reisch, L., et al. (2014) · International Journal of Obesity · doi:10.1038/ijo.2014.145 · Cited by 59
Effectiveness of nonpharmacological secondary prevention of coronary heart disease
Müller-Riemenschneider, F., Meinhard, C., Damm, K., Vauth, C., Bockelbrink, A., Greiner, W., & Willich, S. N. (2010) · European Journal of Cardiovascular Prevention & Rehabilitation · doi:10.1097/hjr.0b013e32833a1c95 · Cited by 57
Hedberg, J., & Sundbom, M. (2012) · Surgery for Obesity and Related Diseases · doi:10.1016/j.soard.2012.01.014 · Cited by 56
Metadata
- Authors
- Olshansky, S. J., Passaro, D. J., Hershow, R. C., Layden, J., Carnes, B. A., Brody, J., Hayflick, L., Butler, R. N., Allison, D. B., & Ludwig, D. S.
- Venue
- Obstetrical & Gynecological Survey
- Published
- 2005-07
- Volume
- 60
- Issue
- 7
- Pages
- 450-452
- ISSN
- 0029-7828 (ISSN-L)
- OpenAlex
- W2091424052
- Cited by
- 1,944
- References
- 7
- FWCI
- 406.26
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.