Evidence map›Paper›PMID 34255296›Full record

ArticleAging clinical and experimental research2021

The relationship of nutritional risk with diet quality and health outcomes in community-dwelling older adults.

Ilse Bloom, Anna Pilgrim, Karen A Jameson, Elaine M Dennison, Avan A Sayer, Helen C Roberts, Cyrus Cooper, Kate A Ward, Sian M Robinson

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Article in Aging clinical and experimental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

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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

6 citing papers in PubMed.

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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

9 authors.

Ilse BloomMRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, SO16 6YD, UK. ib2@mrc.soton.ac.uk.ORCID http://orcid.org/0000-0002-4893-1790
Anna PilgrimMRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, SO16 6YD, UK.
Karen A JamesonMRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, SO16 6YD, UK.
Elaine M DennisonMRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, SO16 6YD, UK.
Avan A SayerAGE Research Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK.
Helen C RobertsNIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD, UK.
Cyrus CooperMRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, SO16 6YD, UK.
Kate A Ward *MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, SO16 6YD, UK.
Sian M Robinson *MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, SO16 6YD, UK.

Funding

Medical Research Council G0400491Medical Research Council MC_PC_21000Medical Research Council MC_PC_21001Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827Medical Research Council MC_UP_A620_1014Medical Research Council MC_UU_12011/1National Institute for Health Research (GB) NIHR Southampton Biomedical Research Centre
6 · The paper itself

Abstract

objectivesTo identify early nutritional risk in older populations, simple screening approaches are needed. This study aimed to compare nutrition risk scores, calculated from a short checklist, with diet quality and health outcomes, both at baseline and prospectively over a 2.5-year follow-up period; the association between baseline scores and risk of mortality over the follow-up period was assessed.

methodsThe study included 86 community-dwelling older adults in Southampton, UK, recruited from outpatient clinics. At both assessments, hand grip strength was measured using a Jamar dynamometer. Diet was assessed using a short validated food frequency questionnaire; derived 'prudent' diet scores described diet quality. Body mass index (BMI) was calculated and weight loss was self-reported. Nutrition risk scores were calculated from a checklist adapted from the DETERMINE (range 0-17).

resultsThe mean age of participants at baseline (n = 86) was 78 (SD 8) years; half (53%) scored 'moderate' or 'high' nutritional risk, using the checklist adapted from DETERMINE. In cross-sectional analyses, after adjusting for age, sex and education, higher nutrition risk scores were associated with lower grip strength [difference in grip strength: - 0.09, 95% CI (- 0.17, - 0.02) SD per unit increase in nutrition risk score, p = 0.017] and poorer diet quality [prudent diet score: - 0.12, 95% CI (- 0.21, - 0.02) SD, p = 0.013]. The association with diet quality was robust to further adjustment for number of comorbidities, whereas the association with grip strength was attenuated. Nutrition risk scores were not related to reported weight loss or BMI at baseline. In longitudinal analyses there was an association between baseline nutrition risk score and lower grip strength at follow-up [fully-adjusted model: - 0.12, 95% CI (- 0.23, - 0.02) SD, p = 0.024]. Baseline nutrition risk score was also associated with greater risk of mortality [unadjusted hazard ratio per unit increase in score: 1.29 (1.01, 1.63), p = 0.039]; however, this association was attenuated after adjustment for sex and age.

conclusionsCross-sectional associations between higher nutrition risk scores, assessed from a short checklist, and poorer diet quality suggest that this approach may hold promise as a simple way of screening older populations. Further larger prospective studies are needed to explore the predictive ability of this screening approach and its potential to detect nutritional risk in older adults.

Indexed as

Independent LivingMalnutritionAgedCross-Sectional StudiesDietGeriatric AssessmentHand StrengthHumansOutcome Assessment, Health CareCommunityMalnutritionNutritional riskOlder adultsScreening tool

Identifiers

PMID34255296
PMCPMC8531124

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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.