Skip to main content
Top
Published in: The journal of nutrition, health & aging 10/2017

01-12-2017

The influence of age on the BMI and all-cause mortality association: A meta-analysis

Authors: J. E. Winter, R. J. MacInnis, C. A. Nowson

Published in: The journal of nutrition, health & aging | Issue 10/2017

Login to get access

Abstract

Objectives

To assess BMI range with the lowest mortality for those aged <65 years and those >65 years, utilising cohort studies that spanned the entire adult age range.

Design

A two-stage random effects meta-analysis of studies that reported mortality in cohorts both ≥65 years and <65 years.

Setting / Participants

Community living adults aged ≥65 and <65 years.

Results

Eight studies were included with a total of 370 416 subjects (306 340 aged <65 years; 64 076 ≥65 years). In the older age group, mortality risk increased at BMIs lower than 22 (BMI range 21.0-21.9: hazard ratio (HR) (95% confidence interval (CI)): 1.05 (1.03, 1.07)), which was not seen in younger adults. In the younger group, mortality increased from BMI range 28.0-28.9 (HR (95% CI): 1.13 (1.00, 1.29)), but mortality did not tend to increase significantly in the older group at BMIs above 23.

Conclusion

The recommended healthy weight range is appropriate for younger and middle aged adults but a higher BMI range should be recommended for older adults based on mortality.
Literature
1.
go back to reference United Nations. World Population Ageing 2013. In: Department of Economic and Social Affairs PD, editor.2013. United Nations. World Population Ageing 2013. In: Department of Economic and Social Affairs PD, editor.2013.
2.
go back to reference World Health Organisation. Global Health Observatory Data. Overweight and obesity. http://www.who.int/gho/ncd/risk_factors/overweight_text/en/ (accessed 1 December 2015) World Health Organisation. Global Health Observatory Data. Overweight and obesity. http://​www.​who.​int/​gho/​ncd/​risk_​factors/​overweight_​text/​en/​ (accessed 1 December 2015)
3.
go back to reference Flegal KM, Carroll MD, Kit BK, Ogden CL. Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999-2010. JAMA 2012;307(5):491–7CrossRefPubMed Flegal KM, Carroll MD, Kit BK, Ogden CL. Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999-2010. JAMA 2012;307(5):491–7CrossRefPubMed
4.
go back to reference Health and Social Care Information Centre. Health Survey for England: Trend tables -2014. https://www.gov.uk/government/statistics/health-survey-for-england-trendtables-2014 (accessed 1 June 2016) Health and Social Care Information Centre. Health Survey for England: Trend tables -2014. https://​www.​gov.​uk/​government/​statistics/​health-survey-for-england-trendtables-2014 (accessed 1 June 2016)
5.
go back to reference Australian Bureau of Statistics. Profiles of Health, Australia, 2011-2013. Overweight and obesity. http://www.abs.gov.au/ausstats/abs@.nsf/mf/4364.0.55.001 (accessed 1 June 2016) Australian Bureau of Statistics. Profiles of Health, Australia, 2011-2013. Overweight and obesity. http://​www.​abs.​gov.​au/​ausstats/​abs@.nsf/mf/4364.0.55.001 (accessed 1 June 2016)
6.
go back to reference de Hollander E, Van Zutphen M, Bogers R, Bemelmans W, de Groot L. The impact of body mass index in old age on cause-specific mortality. J Nutr, Health Aging 2012;16:100–6.CrossRef de Hollander E, Van Zutphen M, Bogers R, Bemelmans W, de Groot L. The impact of body mass index in old age on cause-specific mortality. J Nutr, Health Aging 2012;16:100–6.CrossRef
7.
go back to reference Winter JE, Mac Innis RJ, Wattanapenpaiboon N, Nowson CA. BMI and all-cause mortality in older adults: a meta-analysis. Am J Clin Nutr 2014;99(4):875–90.CrossRefPubMed Winter JE, Mac Innis RJ, Wattanapenpaiboon N, Nowson CA. BMI and all-cause mortality in older adults: a meta-analysis. Am J Clin Nutr 2014;99(4):875–90.CrossRefPubMed
8.
go back to reference Stessman J, Jacobs JM, Ein-Mor E, Bursztyn M. Normal body mass index rather than obesity predicts greater mortality in elderly people: the Jerusalem Longitudinal Study. J Am Geriatr Soc. 2009;57(12):2232–8.CrossRefPubMed Stessman J, Jacobs JM, Ein-Mor E, Bursztyn M. Normal body mass index rather than obesity predicts greater mortality in elderly people: the Jerusalem Longitudinal Study. J Am Geriatr Soc. 2009;57(12):2232–8.CrossRefPubMed
10.
go back to reference Harrell FE, Lee KL, Pollock BG. Regression models in clinical studies: determining relationships between predictors and response. J Natl Cancer Inst 1988;80(15):1198–202.CrossRefPubMed Harrell FE, Lee KL, Pollock BG. Regression models in clinical studies: determining relationships between predictors and response. J Natl Cancer Inst 1988;80(15):1198–202.CrossRefPubMed
11.
go back to reference Orsini N, Li R, Wolk A, Khudyakov P, Spiegelman D. Meta-analysis for linear and nonlinear dose-response relations: examples, an evaluation of approximations, and software. Am J Epidemiol 2012;175(1):66–73.CrossRefPubMed Orsini N, Li R, Wolk A, Khudyakov P, Spiegelman D. Meta-analysis for linear and nonlinear dose-response relations: examples, an evaluation of approximations, and software. Am J Epidemiol 2012;175(1):66–73.CrossRefPubMed
12.
go back to reference Jackson D, White IR, Thompson SG. Extending DerSimonian and Laird’s methodology to perform multivariate random effects meta-analyses. Stat Med 2010;29(12):1282–97.CrossRefPubMed Jackson D, White IR, Thompson SG. Extending DerSimonian and Laird’s methodology to perform multivariate random effects meta-analyses. Stat Med 2010;29(12):1282–97.CrossRefPubMed
13.
go back to reference Higgins JPT, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Medicine 2002;21(11):1539–58.CrossRef Higgins JPT, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Medicine 2002;21(11):1539–58.CrossRef
15.
go back to reference Berrington de Gonzalez A, Hartge P, Cerhan JR, Flint AJ, Hannan L, MacInnis RJ, et al. Body-mass index and mortality among 1.46 million white adults. The New Engl J Med 2010;363(23):2211–9.CrossRefPubMed Berrington de Gonzalez A, Hartge P, Cerhan JR, Flint AJ, Hannan L, MacInnis RJ, et al. Body-mass index and mortality among 1.46 million white adults. The New Engl J Med 2010;363(23):2211–9.CrossRefPubMed
16.
go back to reference Freedman DM, Sigurdson AJ, Rajaraman P, Doody MM, Linet MS, Ron E. The mortality risk of smoking and obesity combined. Am J Prev Med 2006;31(5):355–62.CrossRefPubMed Freedman DM, Sigurdson AJ, Rajaraman P, Doody MM, Linet MS, Ron E. The mortality risk of smoking and obesity combined. Am J Prev Med 2006;31(5):355–62.CrossRefPubMed
17.
go back to reference Gulsvik AK, Thelle DS, Mowe M, Wyller TB. Increased mortality in the slim elderly: A 42 years follow-up study in a general population. Eur J Epidemiol 2009;24(11):683–90.CrossRefPubMed Gulsvik AK, Thelle DS, Mowe M, Wyller TB. Increased mortality in the slim elderly: A 42 years follow-up study in a general population. Eur J Epidemiol 2009;24(11):683–90.CrossRefPubMed
18.
go back to reference Janssen I, Bacon E. Effect of current and midlife obesity status on mortality risk in the elderly. Obesity (Silver Spring) 2008;16(11):2504–9.CrossRef Janssen I, Bacon E. Effect of current and midlife obesity status on mortality risk in the elderly. Obesity (Silver Spring) 2008;16(11):2504–9.CrossRef
19.
go back to reference McTigue K, Larson JC, Valoski A, Burke G, Kotchen J, Lewis CE et al. Mortality and cardiac and vascular outcomes in extremely obese women. JAMA 2006;296(1):79–86.CrossRefPubMed McTigue K, Larson JC, Valoski A, Burke G, Kotchen J, Lewis CE et al. Mortality and cardiac and vascular outcomes in extremely obese women. JAMA 2006;296(1):79–86.CrossRefPubMed
20.
go back to reference Reis JP, Macera CA, Araneta MR, Lindsay SP, Marshall SJ, Wingard DL. Comparison of overall obesity and body fat distribution in predicting risk of mortality. Obesity (Silver Spring) 2009;17(6):1232–9. Reis JP, Macera CA, Araneta MR, Lindsay SP, Marshall SJ, Wingard DL. Comparison of overall obesity and body fat distribution in predicting risk of mortality. Obesity (Silver Spring) 2009;17(6):1232–9.
21.
go back to reference Tayback M, Kumanyika S, Chee E. Body weight as a risk factor in the elderly. Arch Int Med 1990;150(5):1065–72.CrossRef Tayback M, Kumanyika S, Chee E. Body weight as a risk factor in the elderly. Arch Int Med 1990;150(5):1065–72.CrossRef
22.
go back to reference Visscher TLS, Rissanen A, Seidell JC, Heliövaara M, Knekt P, Reunanen A et al. Obesity and unhealthy life-years in adult Finns: an empirical approach. Arch Int Med 2004;164(13):1413–20.CrossRef Visscher TLS, Rissanen A, Seidell JC, Heliövaara M, Knekt P, Reunanen A et al. Obesity and unhealthy life-years in adult Finns: an empirical approach. Arch Int Med 2004;164(13):1413–20.CrossRef
23.
go back to reference Holme I, Tonstad S. Survival in elderly men in relation to midlife and current BMI. Age Ageing 2015;44(3):434–9.CrossRefPubMed Holme I, Tonstad S. Survival in elderly men in relation to midlife and current BMI. Age Ageing 2015;44(3):434–9.CrossRefPubMed
24.
go back to reference Peter RS, Mayer B, Concin H, Nagel G. The effect of age on the shape of the BMImortality relation and BMI associated with minimum all-cause mortality in a large Austrian cohort. Int J Obes 2015;39(3):530–4.CrossRef Peter RS, Mayer B, Concin H, Nagel G. The effect of age on the shape of the BMImortality relation and BMI associated with minimum all-cause mortality in a large Austrian cohort. Int J Obes 2015;39(3):530–4.CrossRef
Metadata
Title
The influence of age on the BMI and all-cause mortality association: A meta-analysis
Authors
J. E. Winter
R. J. MacInnis
C. A. Nowson
Publication date
01-12-2017
Publisher
Springer Paris
Published in
The journal of nutrition, health & aging / Issue 10/2017
Print ISSN: 1279-7707
Electronic ISSN: 1760-4788
DOI
https://doi.org/10.1007/s12603-016-0837-4

Other articles of this Issue 10/2017

The journal of nutrition, health & aging 10/2017 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.