Evidence map›Paper›PMID 34527227›Full record

ArticleJournal of nutritional science2021

Certain dietary patterns are associated with GLIM criteria among Chinese community-dwelling older adults: a cross-sectional analysis.

Suey S Y Yeung, Ruth S M Chan, Jenny S W Lee, Jean Woo

Abstract read
In one paragraph

Article in Journal of nutritional science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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.

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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

4 authors.

Suey S Y YeungDepartment of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-1926-2962
Ruth S M ChanDepartment of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, China.
Jenny S W LeeDepartment of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Jean WooDepartment of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disease-related malnutrition is prevalent among older adults; therefore, identifying the modifiable risk factors in the diet is essential for the prevention and management of disease-related malnutrition. The present study examined the cross-sectional association between dietary patterns and malnutrition in Chinese community-dwelling older adults aged ≥65 years in Hong Kong. Dietary patterns, including Diet Quality Index International (DQI-I), Dietary Approaches to Stop Hypertension (DASH), the Mediterranean Diet Score, 'vegetable-fruit' pattern, 'snack-drink-milk product' pattern and 'meat-fish' pattern, were estimated and generated from a validated food frequency questionnaire. Malnutrition was classified according to the modified Global Leadership Initiative on Malnutrition (GLIM) criteria based on two phenotypic components (low body mass index and reduced muscle mass) and one aetiologic component (inflammation/disease burden). The association between the tertile or level of adherence of each dietary pattern and modified GLIM criteria was analysed using adjusted binary logistic regression models. Data of 3694 participants were available (49 % men). Malnutrition was present in 397 participants (10⋅7 %). In men, a higher DQI-I score, a higher 'vegetable-fruit' pattern score and a lower 'meat-fish' pattern score were associated with a lower risk of malnutrition. In women, higher adherence to the DASH diet was associated with a lower risk of malnutrition. After the Bonferroni correction, the association remained statistically significant only in men for the DQI-I score. To conclude, a higher DQI-I score was associated with a lower risk of malnutrition in Chinese older men. Nutritional strategies for the prevention and management of malnutrition could potentially be targeted on dietary quality.

Indexed as

DietMalnutritionAgedAnimalsCross-Sectional StudiesFruitHong KongHumansIndependent LivingMeatMilkProspective StudiesSeafoodSnacksVegetablesAgedBMI, body mass indexChineseCI, confidence intervalsCSID, Community Screening Instrument for DementiaDASH, Dietary Approaches to Stop HypertensionDietary patternsDiet qualityDQI-I, Dietary Quality Index InternationalGLIM criteriaGLIM, Global Leadership Initiative on MalnutritionhsCRP, high-sensitivity C-reactive proteinMalnutritionMDS, Mediterranean Diet ScoreOR, odds ratioPASE, Physical Activity Scale for the Elderly

Identifiers

PMID34527227
PMCPMC8411258

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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.