Evidence map›Paper›PMID 32389160›Full record

ArticlePublic health nutrition2021

Malnutrition and its associated factors among elderly Chinese with physical functional dependency.

Hongting Ning, Yan Du, Donna Ellis, Hong-Wen Deng, Hengyu Hu, Yinan Zhao, Huijing Chen, Lulu Liao, Mengqi Li, Linlin Peng and 1 more

Open access · greenAbstract read
In one paragraph

Article in Public health nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

17 citing papers in PubMed, 34 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

11 authors at 3 institutions in 2 countries.

Hongting NingXiangya School of Nursing, Central South University, Changsha, Hunan410013, China.
Yan DuSchool of Public Health and Tropical Medicine, Tulane University, New Orleans, LA70112, USA.
Donna EllisRN School of Nursing, Loyola University New Orleans, New Orleans, LA70118, USA.
Hong-Wen DengSchool of Public Health and Tropical Medicine, Tulane University, New Orleans, LA70112, USA.
Hengyu HuXiangya School of Nursing, Central South University, Changsha, Hunan410013, China.
Yinan ZhaoXiangya School of Nursing, Central South University, Changsha, Hunan410013, China.
Huijing ChenXiangya School of Nursing, Central South University, Changsha, Hunan410013, China.
Lulu LiaoXiangya School of Nursing, Central South University, Changsha, Hunan410013, China.
Mengqi LiXiangya School of Nursing, Central South University, Changsha, Hunan410013, China.
Linlin PengNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan410008, China.
Hui FengXiangya School of Nursing, Central South University, Changsha, Hunan410013, China.
Central South University · CNLoyola University New Orleans · USTulane University · US

Funding

Trans-omics Integration of Multi-omics Studies for OsteoporosisU19AG055373 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI Qi Zhao · 2017 to 2026
$24.3M
Decoding Methylation Mediated Epigenomic Contributions to Male OsteoporosisR01AR069055 · NIAMS · TULANE UNIVERSITY OF LOUISIANA · PI DENG, HONG-WEN · 2017 to 2021
$2.9M
NRSA Training Core (TL1)TL1TR002647 · NCATS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI CHUN, YONG-HEE PATRICIA, FREI, CHRISTOPHER R. · 2018 to 2022
$1.8M
NCATS NIH HHS TL1 TR002647NIAMS NIH HHS R01 AR069055NIA NIH HHS U19 AG055373
6 · The paper itself

Abstract

objectiveTo assess the prevalence and to identify the associated factors of malnutrition among elderly Chinese with physical functional dependency.

designFace-to-face interviews using standardised questionnaires were conducted to collect demographic information, health-related issues and psychosocial status. Physical function was measured by the Barthel Index (BI), and nutrition status was assessed by the Mini Nutritional Assessment-Short Form. Multivariate binary logistic regression was used to assess associated factors of malnutrition.

settingChina.

participantsA total of 2323 participants (aged ≥ 60 years) with physical functional dependency in five provinces in China were enrolled using a multistage cluster sampling scheme.

resultsThe prevalence of malnutrition was 17·9 % (95 % CI 16·3, 19·4). Multivariable binary logistic regression revealed the independent risk factors of poor nutrition status were being female, older age, lower educational status, poor hearing, poor physical functional status, lack of hobbies, low religious participation, poor social support, lack of social participation and changes in social participation. The study found that the most significant independent risk factor for malnutrition was complete physical functional dependence (OR 4·46, 95 % CI 2·92, 6·82).

conclusionsThe findings of the study confirm that malnutrition and the risk of malnutrition are prevalent in Chinese older adults with physical functional dependency. In addition to demographic and physical health-related factors, psychosocial factors, which are often overlooked, are independently associated with nutrition status in Chinese older adults with physical functional dependency. A holistic approach should be adopted to screen for malnutrition and develop health promotion interventions in this vulnerable population.

Indexed as

Geriatric AssessmentMalnutritionAgedChinaCross-Sectional StudiesFemaleHumansNutritional StatusNutrition AssessmentRisk FactorsFactorsMalnutritionOlder adultsPhysical functional dependencyPrevalence

Identifiers

PMID32389160
PMCPMC7864553
OpenAlexW3021641440

What OpenQuestion holds

Textmetadata
LicenceTDM
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.