Evidence map›Paper›PMID 38303045›Full record

ArticleBMC nutrition2024

Predictors of malnutrition among older residents in Qatari long-term care facilities: a retrospective study.

Al Anoud Ali H Z AlFehaidi, Shafi Hashmath Ulla Khan, Rana Albdeljubbar Abdelrahman, Nesreen Talal Ahel, Pavithra Shine, Monica Doroja De Ramos, Nisreen Mazin Skairjeh, Shakeel Ahmad Khan, Reem Khalid Al-Saadi

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In one paragraph

Article in BMC nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
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.

Al Anoud Ali H Z AlFehaidiDepartment of Dietetics & Nutrition, Rumailah Hospital, Hamad Medical Corporation, Al Khaleej Street, Doha, P.O. Box: 3050, Qatar. aalfehaidi@hamad.qa.
Shafi Hashmath Ulla KhanDepartment of Geriatrics & Long-Term Care, Rumailah Hospital, Hamad Medical Corporation, Doha, Qatar.
Rana Albdeljubbar AbdelrahmanDepartment of Dietetics & Nutrition, Rumailah Hospital, Hamad Medical Corporation, Al Khaleej Street, Doha, P.O. Box: 3050, Qatar.
Nesreen Talal AhelDepartment of Dietetics & Nutrition, Rumailah Hospital, Hamad Medical Corporation, Al Khaleej Street, Doha, P.O. Box: 3050, Qatar.
Pavithra ShineDepartment of Dietetics & Nutrition, Rumailah Hospital, Hamad Medical Corporation, Al Khaleej Street, Doha, P.O. Box: 3050, Qatar.
Monica Doroja De RamosDepartment of Dietetics & Nutrition, Rumailah Hospital, Hamad Medical Corporation, Al Khaleej Street, Doha, P.O. Box: 3050, Qatar.
Nisreen Mazin SkairjehDepartment of Dietetics & Nutrition, Rumailah Hospital, Hamad Medical Corporation, Al Khaleej Street, Doha, P.O. Box: 3050, Qatar.
Shakeel Ahmad KhanDepartment of Dietetics & Nutrition, Rumailah Hospital, Hamad Medical Corporation, Al Khaleej Street, Doha, P.O. Box: 3050, Qatar.
Reem Khalid Al-SaadiDepartment of Dietetics & Nutrition, Hamad Medical Corporation, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalnutrition is a prevalent issue among older adults in long-term care facilities and is associated with adverse health outcomes and increased healthcare costs. Identifying the predictors of malnutrition in this population is crucial for developing effective intervention strategies. This study aimed to explore the factors contributing to malnourishment among older individuals living in long-term care facilities in Qatar.

methodsThis cross-sectional study included 75 older adults from two long-term care facilities (Rumailah Hospital and Enaya Specialized Care Center) in Qatar. Baseline characteristics, including age, sex, length of stay, mortality, weight, body mass index, co-morbidities, and laboratory parameters, were assessed. Data were analyzed using the most recent version of the SPSS software, version 29. Predictors of malnutrition and mortality were identified using logistic regression analysis.

resultsOf the 75 older individuals included in the study, 85% (64) were malnourished. The average age of the participants was 74.89 years, with a standard deviation of 10.21. Of all participants, approximately 61% (46) were males, and 39% (29) were females. Most malnourished older adults were classified as either at "moderate (29.69%)" or "severe risk (37.50%)," according to the Geriatric Nutritional Risk Index. Malnourished participants experienced a significant percentage of weight change within 3 months (14.01 ± 7.89); the only statistically significant predictor of malnutrition was the percentage of weight change within 3 months with an odds ratio (OR) of 4.8 (confidence interval [CI] 1.56-14.75) and p-value of 0.006. Statistically significant predictors of mortality were malnutrition (OR 24.84, CI 1.09-564) and age (OR 1.07, CI 1.00-1.14).

conclusionsA significant predictor of malnutrition in older adults identified in this study was the sudden and recent change in weight, which can be employed to detect individuals at risk early and guide tailored interventions. Malnutrition is a significant predictor of mortality. Employing a multidimensional strategy to tackle malnutrition can improve outcomes for the older individuals.

Indexed as

Long-term care facilities (LTCFs)MalnutritionOlder adultsPredictorsQatar

Identifiers

PMID38303045
PMCPMC10835922

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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.