Evidence map›Paper›PMID 39718729›Full record

ArticleAging clinical and experimental research2024

Association between malnutrition, depression, anxiety and fatigue after stroke in older adults: a cross-lagged panel analysis.

Hongmei Huang, Mengxia Lu, Pan Zhang, Lulu Xiao, Wanqiu Zhang, Yingjie Xu, Jinghui Zhong, Yiran Dong, Xian Chao, Yirong Fang and 5 more

Abstract read
In one paragraph

Article in Aging clinical and experimental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Article
  3. Post-Stroke Fatigue in Saudi Arabia:Saudi medical journal · 2026
    Review
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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

15 authors.

Hongmei HuangDepartment of Neurology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Mengxia LuDepartment of Neurology, Nanjing Jinling Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210002, China.
Pan ZhangDepartment of Neurology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Lulu XiaoDepartment of Neurology, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, 210002, China.
Wanqiu ZhangDepartment of Neurology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Yingjie XuDepartment of Neurology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Jinghui ZhongDepartment of Neurology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Yiran DongDepartment of Neurology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Xian ChaoDepartment of Neurology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Yirong FangDepartment of Neurology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Jinjing WangDepartment of Neurology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Shiyi JiangDepartment of Neurology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Wusheng ZhuDepartment of Neurology, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, 210002, China.
Xinfeng LiuDepartment of Neurology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China. xfliu2@ustc.edu.cn.
Wen SunDepartment of Neurology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China. sunwen_medneuro@163.com.

Funding

Research Funds of Centre for Leading Medicine and Advanced Technologies of IHM No. 2023IHM01054
6 · The paper itself

Abstract

backgroundMalnutrition, post-stroke depression (PSD), post-stroke anxiety (PSA), and post-stroke fatigue (PSF) in stroke survivors have complex relationships and are associated with adverse stroke outcomes.

aimsThis research aims to explore the temporal and directional relationships between malnutrition, PSD, PSA, and PSF after stroke in older adults.

methodsPatients aged 65 years and older with their first ischemic stroke from two centers were selected and assessed at baseline, 3 months and 12 months. Malnutrition was evaluated using the Controlling Nutritional Status (CONUT) score, the Geriatric Nutritional Risk Index (GNRI), and the Prognostic Nutritional Index (PNI). PSD, PSA and PSF were measured with 24-item Hamilton Depression Scale (HAMD-24), 14-item Hamilton Anxiety Scale (HAMA-14) and Fatigue Severity Scale (FSS), respectively. The cross-lagged panel model (CLPM) was employed to investigate the temporal and directional relationships among these variables.

resultsAmong the 381 older patients included, 54.33%, 43.57%, and 7.87% were found to have malnutrition according to the CONUT, GNRI, and PNI scores, respectively. Significant bidirectional relationships were found between malnutrition and PSD, as well as between PSD, PSA, and PSF, but no significant bidirectional relationships between malnutrition, PSA and PSF were observed, irrespective of the malnutrition index used (CONUT, GNRI, or PNI).

conclusionsNutritional status and post-stroke neuropsychiatric disorders in older stroke survivors are worthy of attention. Specifically, early malnutrition after stroke can predict later PSD and vice versa. PSD, PSA, and PSF are mutually predictable. Further studies are required to investigate the mechanisms of these findings.

Indexed as

AnxietyDepressionFatigueMalnutritionStrokeAgedAged, 80 and overFemaleGeriatric AssessmentHumansMaleNutritional StatusCross-lagged panel modelMalnutritionPost-stroke anxietyPost-stroke depressionPost-stroke fatigue

Identifiers

PMID39718729
PMCPMC11668841

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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.