Evidence map›Paper›PMID 35773448›Full record

ArticleAging clinical and experimental research2022

Nutritional risk and its relationship with physical function in community-dwelling older adults.

Ilse Bloom, Jean Zhang, Camille Parsons, Gregorio Bevilacqua, Elaine M Dennison, Cyrus Cooper, Kate A Ward

Open access · hybridAbstract read
In one paragraph

Article in Aging clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

7 authors at 4 institutions in 2 countries.

Ilse BloomMRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK. ib2@mrc.soton.ac.uk.ORCID http://orcid.org/0000-0002-4893-1790
Jean ZhangMRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK.
Camille ParsonsMRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK.
Gregorio BevilacquaMRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK.
Elaine M DennisonMRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK.
Cyrus CooperMRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK.
Kate A WardMRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK.
MRC Lifecourse Epidemiology Unit · GBUniversity Hospital Southampton NHS Foundation Trust · GBUniversity of Oxford · GBVictoria University of Wellington · NZ

Funding

Medical Research Council MC_PC_21000Medical Research Council MC_PC_21001Medical Research Council MC_PC_21022Medical Research Council MC_UP_A620_1014Medical Research Council MC_UP_A620_1015Medical Research Council MC_UU_12011/1Medical Research Council MC_UU_12011/2Versus Arthritis 19583
6 · The paper itself

Abstract

backgroundMalnutrition is a serious concern in older populations. Simple screening approaches are needed to identify signs of early nutritional risk in older people, to allow intervention before overt malnutrition develops, along with the poorer health outcomes associated with it, such as sarcopaenia and frailty. The main aim of this study was to compare nutrition risk scores, calculated from the DETERMINE Checklist ('Determine Your Nutritional Health', also known as the Nutrition Screening Initiative Checklist), with physical function variables in a group of community-dwelling older adults. Another aim was to assess the prevalence of nutrition risk using the DETERMINE and the MUST (Malnutrition Universal Screening Tool).

methodsParticipants of the Hertfordshire Cohort Study (HCS) were recruited and visited at home by a trained researcher. Self-reported physical function was assessed using the SF-36 PF (Short Form-36 Physical Function) scale. The Short Physical Performance Battery (SPPB) was performed, which included the assessment of gait speed, chair rise time and standing balance. Handgrip strength was measured using a Jamar dynamometer. Frailty was assessed according to the presence of at least three of the following Fried frailty criteria: unintentional weight loss, weakness, self-reported exhaustion, slow gait speed and low physical activity. Nutrition risk scores were calculated from the DETERMINE checklist (range 0-21). Nutritional risk was also assessed using the MUST. Analyses were adjusted for sex, age, age left education and number of comorbidities.

resultsIn the study, 176 participants (94 men and 82 women), median age 83.3 (IQR 81.5-85.7) years, were assessed. Almost half (47%) scored either 'moderate' (score 3-5) or 'high' (score ≥ 6) nutritional risk (9% were at high risk), using the DETERMINE checklist, whereas 8% were at risk using the MUST. Higher nutrition risk scores, calculated from DETERMINE, were associated with poorer self-reported physical function (difference in SF-36 PF score: - 0.36, 95% CI (- 0.60, - 0.12) SD per unit increase in nutrition risk score, P = 0.004) and higher odds of being frail (odds ratio Fried frailty: 2.23, 95% CI (1.15, 4.33), P = 0.017). There were no significant associations between DETERMINE nutrition risk scores and the other variables examined.

conclusionCross-sectional associations between higher nutrition risk scores, assessed from the DETERMINE checklist, and poorer self-reported physical function and greater likelihood of frailty suggest that this screening tool may have utility for screening older populations. Prospective studies are required to explore the ability of the tool to predict poor physical function and frailty, though these data suggest it has potential for early, simple detection of nutritional problems in community-living older adults.

Indexed as

FrailtyMalnutritionAgedAged, 80 and overCohort StudiesCross-Sectional StudiesFemaleFrail ElderlyGeriatric AssessmentHand StrengthHumansIndependent LivingMaleCommunityNutritional riskOlder adultsPhysical functionScreening tool

Identifiers

PMID35773448
PMCPMC9464117
OpenAlexW4283754473

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.