Title |
BMI and mortality in nursing home
|
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Published in |
Obesity Reviews, August 2015
|
DOI | 10.1111/obr.12309 |
Pubmed ID | |
URN |
urn:nbn:se:liu:diva-121461
|
Authors |
N Veronese, E Cereda, M Solmi, S A Fowler, E Manzato, S Maggi, P Manu, E Abe, K Hayashi, J P Allard, B M Arendt, A Beck, M Chan, Y J P Audrey, W-Y Lin, H-S Hsu, C-C Lin, R Diekmann, S Kimyagarov, M Miller, I D Cameron, K H Pitkälä, J Lee, J Woo, K Nakamura, D Smiley, G Umpierrez, M Rondanelli, M Sund-Levander, L Valentini, K Schindler, J Törmä, S Volpato, G Zuliani, M Wong, K Lok, J M Kane, G Sergi, C U Correll |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 5 | 33% |
United Kingdom | 2 | 13% |
Australia | 1 | 7% |
Unknown | 7 | 47% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 60% |
Practitioners (doctors, other healthcare professionals) | 5 | 33% |
Scientists | 1 | 7% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Finland | 1 | <1% |
Spain | 1 | <1% |
Unknown | 173 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 28 | 16% |
Student > Bachelor | 20 | 11% |
Student > Ph. D. Student | 18 | 10% |
Researcher | 17 | 10% |
Other | 13 | 7% |
Other | 38 | 22% |
Unknown | 41 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 60 | 34% |
Nursing and Health Professions | 32 | 18% |
Social Sciences | 8 | 5% |
Psychology | 6 | 3% |
Biochemistry, Genetics and Molecular Biology | 5 | 3% |
Other | 17 | 10% |
Unknown | 47 | 27% |