Literature DB >> 12917754

Nutritional risk and time to death; predictive validity of SCREEN (Seniors in the Community Risk Evaluation for Eating and Nutrition).

H H Keller1, T Østbye.   

Abstract

BACKGROUND: Undernutrition in community-living seniors is common and has the potential to adversely influence health outcomes. Nutritional risk screening tools can help identify seniors at risk, but few have predicted health outcomes.
METHODS: Seniors were recruited from 23 community service providers. The 8-item abbreviated version SCREEN (Seniors in the Community Risk Evaluation for Eating and Nutrition) was used to identify nutritional risk in 367 seniors; demographics, health, activities of daily living, and psychosocial variables were included in a baseline assessment. The seniors were followed-up by telephone for 18 months to determine the occurrence of health outcomes, including death. Cox regression was used to identify predictors of survival time.
RESULTS: During the 18-month follow-up there were 27 deaths (approximately 7%). Using the abbreviated tool, nutritional risk was common (42.2%). This low rate of death limited the modeling to only a few key covariates, which were based on bivariate analyses. Nutritional risk was significantly associated with time to death. Gender was also associated with time to death, with men more likely to die sooner than women. Increasing age was also significantly associated with shorter survival times.
CONCLUSIONS: Nutritional risk as measured by SCREEN was predictive of time to death. This simple tool may be useful for future epidemiological research on health outcomes of seniors. Further work should confirm these results, as the low event rate influenced the modeling strategy.

Entities:  

Mesh:

Year:  2003        PMID: 12917754

Source DB:  PubMed          Journal:  J Nutr Health Aging        ISSN: 1279-7707            Impact factor:   4.075


  7 in total

1.  Nutrition risk factors among home delivered and congregate meal participants: need for enhancement of nutrition education and counseling among home delivered meal participants.

Authors:  S Wunderlich; Y Bai; J Piemonte
Journal:  J Nutr Health Aging       Date:  2011-11       Impact factor: 4.075

2.  Differentiation of the Nutritional Risk of Polish Elderly People According to Selected Demographic Characteristics and Declared Socioeconomic Status.

Authors:  Robert Gajda; Ewa Raczkowska; Joanna Wyka; Edyta Suliga; Kamila Sobaś
Journal:  Nutrients       Date:  2022-04-11       Impact factor: 6.706

3.  SCREEN III: working towards a condensed screening tool to detect nutrition risk in community-dwelling older adults using CLSA data.

Authors:  Jill M Morrison; Celia V Laur; Heather H Keller
Journal:  Eur J Clin Nutr       Date:  2019-02-28       Impact factor: 4.016

4.  Measuring nutritional risk in hospitals.

Authors:  Henrik H Rasmussen; Mette Holst; Jens Kondrup
Journal:  Clin Epidemiol       Date:  2010-10-21       Impact factor: 4.790

5.  Analysis of Outcomes of the NRS 2002 in Patients Hospitalized in Nephrology Wards.

Authors:  Paulina Borek; Michał Chmielewski; Sylwia Małgorzewicz; Alicja Dębska Ślizień
Journal:  Nutrients       Date:  2017-03-16       Impact factor: 5.717

6.  Nutrition Risk, Resilience and Effects of a Brief Education Intervention among Community-Dwelling Older Adults during the COVID-19 Pandemic in Alberta, Canada.

Authors:  Michelle Capicio; Simran Panesar; Heather Keller; Leah Gramlich; Naomi Popeski; Carlota Basualdo-Hammond; Marlis Atkins; Catherine B Chan
Journal:  Nutrients       Date:  2022-03-06       Impact factor: 5.717

7.  Differentiation of Nutritional Risk among Polish Seniors Based on Selected Lifestyle Characteristics.

Authors:  Robert Gajda; Ewa Raczkowska; Dominika Mazurkiewicz; Edyta Suliga
Journal:  Nutrients       Date:  2022-01-30       Impact factor: 5.717

  7 in total

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