Skip to main content
Canadian Family Physician logoLink to Canadian Family Physician
. 2015 Nov;61(11):970.

The skinny on BMI and mortality

Braiden Hellec 1, Denise Campbell-Scherer 2, G Michael Allan 3
PMCID: PMC4642906  PMID: 26564656

Clinical question

How are body mass index (BMI) and mortality associated?

Bottom line

Normal (20–25 kg/m2) to overweight (25–30 kg/m2) BMI carries the lowest risk of mortality (lowest around 25 kg/m2 [27.5 kg/m2 in the elderly]). Mortality increases below 20 and above 30 kg/m2 (more at the extremes).

Evidence

Various systematic reviews of observational studies in the general population evaluate all-cause mortality and BMI.110

  • The review with the most studies1 (97 studies, 2.88 million participants) found the following relative risks (RRs) compared with normal BMI (18.5–24.9 kg/m2):
    • -overweight (25.0–29.9 kg/m2), RR = 0.94;
    • -obese, grade I (30.0–35.0 kg/m2), RR = 0.95; and
    • -obese, grade II or higher (BMI > 35 kg/m2), RR = 1.29.
  • The review with the most participants2 (8 studies, 5.8 million participants) found these hazard ratios (HRs) for men compared with high-normal BMI (22.5–24.9 kg/m2):
    • -low BMI (< 18.5 kg/m2), HR = 1.88;
    • -low-normal BMI (18.5–19.9 kg/m2), HR = 1.39;
    • -mid-normal BMI (20.0–22.4 kg/m2), HR = 1.15;
    • -low overweight (25.0–27.4 kg/m2), HR = 0.97;
    • -high overweight (27.5–29.9 kg/m2), HR = 1.04; and
    • -obese, grade I (30.0–35.0 kg/m2), HR = 1.18.
  • The third largest study3 (19 studies, 1.46 million participants) found the following HRs for women compared with high-normal BMI (22.5–24.9 kg/m2):
    • -BMI below 18.5 kg/m2, HR = 1.25;
    • -BMI 20.0 to 27.4 kg/m2, very similar risk throughout range (HR = 1.03–1.05); and
    • -above 27.5 kg/m2, mortality increases with BMI (27.5 30.0 kg/m2, HR = 1.14; 40.0–50.0 kg/m2, HR = 2.13).
  • Other studies had similar findings.46 Meta-analyses had similar findings for those with diabetes. For the elderly (≥ 65 years),1,8 being overweight lowered risk (best at 27.5 kg/m2).8 For those with pre-existing cardiovascular disease,9,10 chronic obstructive pulmonary disease,11 or hemodialysis,12 overweight and grade I obesity conferred similar risk9 or reduced risk1012 relative to normal BMI.

Context

  • Confidence intervals not presented above: trends of risk are more informative. Highest risk occurs at extremes of BMI, with lowest risk around 25 kg/m2 (27.5 kg/m2 in the elderly). Minimal differences in HRs and RRs around 1 (eg, 0.9–1.1) are likely of little clinical importance.

  • Observational studies cannot prove causation.

  • The BMI indicates weight for height: weight (in kg) divided by height (in m2); BMI does not indicate fitness level.13

  • Guidelines recommend BMI to assess obesity and need for intervention in those who are overweight or obese.14,15

Implementation

While BMI can be useful in population studies, application to individuals might not be ideal.16 The Edmonton Obesity Staging System,16 adopted by the World Obesity Federation, has been validated in large cohorts and predicts mortality better than BMI.17 It offers a useful approach to identifying those who might benefit from more clinical attention.18 New resources to help clinicians are available from the Canadian Obesity Network (www.obesitynetwork.ca).

Tools for Practice articles in Canadian Family Physician (CFP) are adapted from articles published on the Alberta College of Family Physicians (ACFP) website, summarizing medical evidence with a focus on topical issues and practice-modifying information. The ACFP summaries and the series in CFP are coordinated by Dr G. Michael Allan, and the summaries are co-authored by at least 1 practising family physician and are peer reviewed. Feedback is welcome and can be sent to toolsforpractice@cfpc.ca. Archived articles are available on the ACFP website: www.acfp.ca.

Footnotes

The opinions expressed in Tools for Practice articles are those of the authors and do not necessarily mirror the perspective and policy of the Alberta College of Family Physicians.

References

  • 1.Flegal KM, Kit BK, Orpana H, Graudard BI. Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis. JAMA. 2013;309(1):71–82. doi: 10.1001/jama.2012.113905. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Flegal KM, Kit BK, Graubard BI. Body mass index categories in observational studies of weight and risk of death. Am J Epidemiol. 2014;180(3):288–96. doi: 10.1093/aje/kwu111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.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. N Eng J Med. 2010;363(23):2211–9. doi: 10.1056/NEJMoa1000367. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Prospective Studies Collaboration Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies. Lancet. 2009;373(9669):1083–96. doi: 10.1016/S0140-6736(09)60318-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Diverse Populations Collaboration. Body mass index and mortality: a meta-analysis based on person-level data from twenty-six observational studies. Ann Epidemiol. 2005;15:87–97. doi: 10.1016/j.annepidem.2004.05.012. [DOI] [PubMed] [Google Scholar]
  • 6.Lenz M, Richter T, Mühlhauser I. The morbidity and mortality associated with overweight and obesity in adulthood. Dtsch Arztebl Int. 2009;106(40):641–8. doi: 10.3238/arztebl.2009.0641. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Tobias DK, Pan A, Jackson CL, O’Reilly EJ, Ding EL, Willett WC, et al. Body-mass index and mortality among adults with incident type 2 diabetes. N Engl J Med. 2014;370(3):233–44. doi: 10.1056/NEJMoa1304501. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Winter JE, MacInnis RJ, Wattanapenpaiboon N, Nowson CA. BMI and all-cause mortality in older adults: a meta-analysis. Am J Clin Nutr. 2014;99:875–90. doi: 10.3945/ajcn.113.068122. [DOI] [PubMed] [Google Scholar]
  • 9.Romero-Corral A, Montori VM, Somers VK, Korinek J, Thomas RJ, Allison TG, et al. Association of bodyweight with total mortality and with cardiovascular events in coronary artery disease: a systematic review of cohort studies. Lancet. 2006;364:666–78. doi: 10.1016/S0140-6736(06)69251-9. [DOI] [PubMed] [Google Scholar]
  • 10.Padwal R, McAlister FA, McMurray JJV, Cowie MR, Rich M, Pocock S, et al. The obesity paradox in heart failure patients with preserved versus reduced ejection fraction: a meta-analysis of individual patient data. Int J Obes. 2014;38(8):1110–4. doi: 10.1038/ijo.2013.203. [DOI] [PubMed] [Google Scholar]
  • 11.Cao C, Wang R, Wang J, Bunjhoo H, Xu Y, Xiong W. Body mass index and mortality in chronic obstructive pulmonary disease: a meta-analysis. PLoS One. 2012;7(8):e43892. doi: 10.1371/journal.pone.0043892. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Jialin W, Yi Z, Weijie Y. Relationship between body mass index and mortality in hemodialysis patients: a meta-analysis. Nephron Clin Pract. 2012;121(3–4):c102–11. doi: 10.1159/000345159. [DOI] [PubMed] [Google Scholar]
  • 13.Goyal A, Nimmakayala KR, Zonszein J. Is there a paradox in obesity? Cardiol Rev. 2014;22:163–70. doi: 10.1097/CRD.0000000000000004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Brauer P, Connor Gorber S, Shaw E, Singh H, Bell N, Shane AR, et al. Recommendations for prevention of weight gain and use of behavioural and pharmacologic interventions to manage overweight and obesity in adults in primary care. CMAJ. 2015;187(3):184–95. doi: 10.1503/cmaj.140887. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Jensen MD, Ryan DH, Apovian CM, Ard JD, Comuzzie AG, Donato KA, et al. 2013 AHA/ACC/TOS guideline for the management of overweight and obesity in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Obesity Society. Circulation. 2014;129(25 Suppl 2):S102–38. doi: 10.1161/01.cir.0000437739.71477.ee. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Sharma AM, Kushner RF. A proposed clinical staging system for obesity. Int J Obes. 2009;33:289–95. doi: 10.1038/ijo.2009.2. [DOI] [PubMed] [Google Scholar]
  • 17.Padwal RS, Pajewski NM, Allion DB, Sharma AM. Using the Edmonton Obesity Staging System to predict mortality in a population-representative cohort of people with overweight and obesity. CMAJ. 2011;183(14):E1059–66. doi: 10.1503/cmaj.110387. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Kuk JL, Ardern CI, Church TS, Sharma AM, Padwal R, Sui X, et al. Edmonton Obesity Staging System: association with weight history and mortality risk. Appl Physiol Nutr Metab. 2011;36(4):570–6. doi: 10.1139/h11-058. [DOI] [PubMed] [Google Scholar]

Articles from Canadian Family Physician are provided here courtesy of College of Family Physicians of Canada

RESOURCES