Inverse relationship between body mass index and mortality in older nursing home residents: a meta-analysis of 19,538 elderly subjects

Obes Rev. 2015 Nov;16(11):1001-15. doi: 10.1111/obr.12309. Epub 2015 Aug 7.

Abstract

Body mass index (BMI) and mortality in old adults from the general population have been related in a U-shaped or J-shaped curve. However, limited information is available for elderly nursing home populations, particularly about specific cause of death. A systematic PubMed/EMBASE/CINAHL/SCOPUS search until 31 May 2014 without language restrictions was conducted. As no published study reported mortality in standard BMI groups (<18.5, 18.5-24.9, 25-29.9, ≥30 kg/m(2)), the most adjusted hazard ratios (HRs) according to a pre-defined list of covariates were obtained from authors and pooled by random-effect model across each BMI category. Out of 342 hits, 20 studies including 19,538 older nursing home residents with 5,223 deaths during a median of 2 years of follow-up were meta-analysed. Compared with normal weight, all-cause mortality HRs were 1.41 (95% CI = 1.26-1.58) for underweight, 0.85 (95% CI = 0.73-0.99) for overweight and 0.74 (95% CI = 0.57-0.96) for obesity. Underweight was a risk factor for higher mortality caused by infections (HR = 1.65 [95% CI = 1.13-2.40]). RR results corroborated primary HR results, with additionally lower infection-related mortality in overweight and obese than in normal-weight individuals. Like in the general population, underweight is a risk factor for mortality in old nursing home residents. However, uniquely, not only overweight but also obesity is protective, which has relevant nutritional goal implications in this population/setting.

Keywords: Body mass index; elderly; mortality; nursing home.

Publication types

  • Meta-Analysis
  • Review

MeSH terms

  • Aged
  • Aged, 80 and over
  • Body Mass Index*
  • Female
  • Frail Elderly / statistics & numerical data*
  • Homes for the Aged / statistics & numerical data*
  • Humans
  • Male
  • Nursing Homes / statistics & numerical data*
  • Nutritional Physiological Phenomena
  • Overweight / mortality*
  • Risk Factors
  • Thinness / mortality*