Evidence map›Paper›PMID 37917376›Full record

ArticleAging clinical and experimental research2023

Assessment of risk factors associated with long-term mortality in nursing homes: result from the SENIOR cohort.

Céline Demonceau, Fanny Buckinx, Jean-Yves Reginster, Olivier Bruyère

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Aging clinical and experimental research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 39% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Céline DemonceauWHO Collaborating Center for Epidemiologic Aspects of Musculo-Skeletal Health and Ageing, Division of Public Health, Epidemiology and Health Economics, University of Liège, Avenue Hippocrate 13, CHU Bât B23, 4000, Liège, Belgium. celine.demonceau@uliege.be.ORCID http://orcid.org/0000-0001-7089-6605
Fanny BuckinxWHO Collaborating Center for Epidemiologic Aspects of Musculo-Skeletal Health and Ageing, Division of Public Health, Epidemiology and Health Economics, University of Liège, Avenue Hippocrate 13, CHU Bât B23, 4000, Liège, Belgium.
Jean-Yves ReginsterWHO Collaborating Center for Epidemiologic Aspects of Musculo-Skeletal Health and Ageing, Division of Public Health, Epidemiology and Health Economics, University of Liège, Avenue Hippocrate 13, CHU Bât B23, 4000, Liège, Belgium.
Olivier BruyèreWHO Collaborating Center for Epidemiologic Aspects of Musculo-Skeletal Health and Ageing, Division of Public Health, Epidemiology and Health Economics, University of Liège, Avenue Hippocrate 13, CHU Bât B23, 4000, Liège, Belgium.
University of Liège · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies on risk factors for death in nursing homes have focused on short-term observation and limited number risk factors.

aimsThis study aims to identify factors predictive of 8-year survival in nursing homes.

methodsThe study used the baseline measurements from the SENIOR cohort collected in 2013-2014. Data included clinical assessments (i.e., body composition, nutritional status, physical performance, level of dependence and cognition, frailty phenotype) as well as demographic information, number of medications and medical history. Mortality data were collected annually for 8 years. Univariate analyses were initially performed to assess potential predictive factors, followed by a Cox regression model using stepwise selection.

resultsOf the 662 participants enrolled in the cohort, 58 (8.8%) were not further assessed due to the withdrawal of 2 nursing homes and 71 (10.7%) had no mortality data available (i.e., relocation, refusal to continue the study). Among the 533 patients included, 111 (20.8%) were still alive in 2022. Median survival time was 4 years (1.93-6.94). Multivariate regression showed that younger age (HR = 1.04 (1.03-1.06)), higher body mass index (HR = 0.96 (0.94-0.98)), higher score on the Mini-Mental State-Examination (HR = 0.97 (0.94-0.99)) and higher score on the Short Physical Performance Battery (HR = 0.93 (0.90-0.97)) were protective factors against mortality.

conclusionsThis study highlights that certain modifiable factors related to physical or mental health contribute to increased survival in nursing homes. Because of its ability to improve physical performance and partly cognitive function, promoting physical activity in nursing homes appears to be a public health priority.

Indexed as

FrailtyNursing HomesAgedExerciseGeriatric AssessmentHumansNutritional StatusRisk FactorsLong-term care facilitiesMortalityPhysical performance

Identifiers

PMID37917376
OpenAlexW4388231428

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.