Literature DB >> 28757332

Prediction of the Incidence of Falls and Deaths Among Elderly Nursing Home Residents: The SENIOR Study.

Fanny Buckinx1, Jean-Louis Croisier2, Jean-Yves Reginster3, Céline Lenaerts3, Théo Brunois3, Xavier Rygaert3, Jean Petermans4, Olivier Bruyère5.   

Abstract

OBJECTIVE: The objective of this study was to evaluate, among nursing home residents, the extent to which the various operational definitions of frailty predict mortality and falls at 1 year.
METHODS: We studied 662 participants from the Sample of Elderly Nursing home Individuals: An Observational Research (SENIOR) cohort aged 83.2 ± 8.99 years, including 484 (72.5%) women and living in nursing homes. Among this cohort, 584 and 565 participants, respectively, were monitored over 12 months for mortality assessment and for occurrence of falls (ie, by mean of their medical records). Each patient was subjected to a clinical examination at baseline, during which many original clinical characteristics were collected. Stepwise regression analyses were carried out to predict mortality and falls.
RESULTS: Among the participants included in the study, 93 (15.9%) died and 211 (37.3%) experienced a fall during the 1-year of follow-up. After adjustment, none of the definitions of frailty assessed predicted the 1-year occurrence of negative health outcomes. When comparing the clinical characteristics of deceased participants and those still alive, being a man (OR = 1.89; 95% CI: 1.19-3.01; P = .002) and being diagnosed with sarcopenia (OR = 1.7; 95% CI: 1.1-2.92; P = .03) were independent factors associated with 1-year mortality. Other independent factors that were significantly associated with the 1-year occurrence of falls were the results obtained with the Tinetti test (OR = 0.93; 95% CI: 0.87-0.98; P = .04), with the grip strength test (OR = 0.95; 95% CI: 0.90-0.98, P = .03), and with the isometric strength test of elbow extensors (OR = 0.93; 95%CI: 0.87-0.97; P = .04).
CONCLUSIONS: Within the operational definitions of frailty assessed, none is sufficiently sensitive to predict the occurrence of falls and deaths at 1 year among nursing home residents. Globally, the frequency of undesirable health outcomes seems to be higher among participants with lower muscle strength and mobility. Medical strategy or adapted physical activity, with the aim of improving specific isometric muscle strength and mobility could potentially, but significantly, reduce the occurrence of falls and even deaths.
Copyright © 2017 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Prediction of negative outcomes; falls; frailty; mortality; nursing homes

Mesh:

Year:  2017        PMID: 28757332     DOI: 10.1016/j.jamda.2017.06.014

Source DB:  PubMed          Journal:  J Am Med Dir Assoc        ISSN: 1525-8610            Impact factor:   4.669


  11 in total

1.  Relationship between frailty and drug use among nursing homes residents: results from the SHELTER study.

Authors:  Emanuele Rocco Villani; Davide Liborio Vetrano; Rosa Liperoti; Katie Palmer; Michael Denkinger; Henriëtte G van der Roest; Roberto Bernabei; Graziano Onder
Journal:  Aging Clin Exp Res       Date:  2021-02-15       Impact factor: 3.636

2.  2015-2016 Normative Data for the 3-m Usual Walk, Five Repeated Chair Stands, and Static Balance Components of the SPPB Among U.S. Older Adults Across Two Nationally Representative Data Sets: NSHAP and NHATS.

Authors:  Megan Huisingh-Scheetz; Brian Buta; Karen Bandeen-Roche; Elbert S Huang; Ravi Varadhan; Jeremy Walston; Kristen Wroblewski; L Philip Schumm; Linda J Waite
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2021-12-17       Impact factor: 4.942

3.  Physical Frailty and Cognitive Impairment in Older Adults in United States Nursing Homes.

Authors:  Yiyang Yuan; Kate L Lapane; Jennifer Tjia; Jonggyu Baek; Shao-Hsien Liu; Christine M Ulbricht
Journal:  Dement Geriatr Cogn Disord       Date:  2021-04-22       Impact factor: 2.959

4.  Falls among physically active elderly in senior housings, Bangkok, Thailand: situations and perceptions.

Authors:  Natthawadee Maneeprom; Surasak Taneepanichskul; Alessio Panza
Journal:  Clin Interv Aging       Date:  2018-10-26       Impact factor: 4.458

5.  Sarcopenia as a predictor of all-cause mortality among older nursing home residents: a systematic review and meta-analysis.

Authors:  Xiaoming Zhang; Conghua Wang; Qingli Dou; Wenwu Zhang; Yunzhi Yang; Xiaohua Xie
Journal:  BMJ Open       Date:  2018-11-12       Impact factor: 2.692

6.  Sarcopenia and its association with falls and fractures in older adults: A systematic review and meta-analysis.

Authors:  Suey S Y Yeung; Esmee M Reijnierse; Vivien K Pham; Marijke C Trappenburg; Wen Kwang Lim; Carel G M Meskers; Andrea B Maier
Journal:  J Cachexia Sarcopenia Muscle       Date:  2019-04-16       Impact factor: 12.910

Review 7.  Effectiveness of robotics fall prevention program among elderly in senior housings, Bangkok, Thailand: a quasi-experimental study.

Authors:  Natthawadee Maneeprom; Surasak Taneepanichskul; Alessio Panza; Areerat Suputtitada
Journal:  Clin Interv Aging       Date:  2019-02-18       Impact factor: 4.458

8.  The clinical usefulness of muscle mass and strength measures in older people: a systematic review.

Authors:  Eleanor Lunt; Terence Ong; Adam L Gordon; Paul L Greenhaff; John R F Gladman
Journal:  Age Ageing       Date:  2021-01-08       Impact factor: 10.668

9.  The FRAIL-NH Scale: Systematic Review of the Use, Validity and Adaptations for Frailty Screening in Nursing Homes.

Authors:  S J Liau; S Lalic; R Visvanathan; L A Dowd; J S Bell
Journal:  J Nutr Health Aging       Date:  2021       Impact factor: 5.285

10.  Associations of falls and severe falls with blood pressure and frailty among Chinese community-dwelling oldest olds: The Chinese Longitudinal Health and Longevity Study.

Authors:  Yujian Song; Yujiao Deng; Jianhua Li; Benchuan Hao; Yulun Cai; Jianqiao Chen; Haiyan Shi; Weihao Xu
Journal:  Aging (Albany NY)       Date:  2021-06-23       Impact factor: 5.682

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.