Evidence map›Paper›PMID 41865062›Full record

ArticleScientific reports2026

Malnutrition and its multidimensional determinants in institutionalized older adults: a cross-sectional study from resource-limited nursing homes in China.

Juan Han, Limei Tao, Jiang Liu, Yongfeng Zhao, Xiaoming Huang, Sijie Chen

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Juan Han *Department of Nutrition, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital, Nanchong, 637000, P.R. China.
Limei Tao *Department of Nutrition, The Southwest Hospital of AMU, Chongqing, 400000, P.R. China.
Jiang LiuDepartment of Nutrition, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital, Nanchong, 637000, P.R. China.
Yongfeng ZhaoDepartment of Nutrition, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital, Nanchong, 637000, P.R. China.
Xiaoming HuangDepartment of Nutrition, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital, Nanchong, 637000, P.R. China. huaxi1979@126.com.
Sijie ChenSchool of Advanced Materials and Nanotechnology, Xidian University, Xi'an, 710126, P.R. China. chensijie0412@163.com.

Funding

Nan Chong Philosophy and Social Science Research Planning Project NC23B012
6 · The paper itself

Abstract

China’s rapidly aging population faces disproportionate malnutrition risks in under-resourced nursing homes, particularly in Southwest regions with fragmented healthcare systems. To assess the nutritional status and its influencing factors among older adult residents in nursing homes in Nan Chong, Southwest China.A cross-sectional study was conducted from February 2023 to March 2024, involving 205 older adult participants aged ≥ 60 years. Nutritional status was evaluated using the Mini-Nutritional Assessment Short-Form (MNA-SF), while sarcopenia, sleep quality, depression, and social support were assessed using validated scales. Descriptive statistics, correlation analysis, and multiple linear regression were performed. Among participants, 19.02% were malnourished, and 42.44% were at risk of malnutrition. Lower BMI (B = 0.256, P < 0.001), higher sarcopenia risk (B = -0.385, P < 0.001), and lower social support (B = -0.076, P = 0.008) were significant predictors of malnutrition. Malnutrition is prevalent among nursing home residents in Southwest China, with BMI, sarcopenia, and social support being key determinants. Targeted interventions should focus on improving dietary intake, muscle health, and social engagement.

Indexed as

MalnutritionNursing HomesAgedAged, 80 and overBody Mass IndexChinaCross-Sectional StudiesFemaleGeriatric AssessmentHumansMaleMiddle AgedNursing Home ResidentsNutritional StatusNutrition AssessmentPrevalenceAging populationBody mass index (BMI)Cross-sectional studyMalnutritionNursing home residentsResource-limited settingsSarcopeniaSocial supportSouthwest China

Identifiers

PMID41865062
PMCPMC13187063

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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.