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Record W4415356827 · doi:10.5498/wjp.v15.i10.108989

Nutritional and social support enhance cognitive function in acute cerebral infarction patients

2025· article· en· W4415356827 on OpenAlexaboutno aff
Jin Gong, Jie Zheng

Bibliographic record

VenueWorld Journal of Psychiatry · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsSocial supportCognitionDepression (economics)Psychological interventionAnxietyIntervention (counseling)Cerebral infarctionAdaptability

Abstract

fetched live from OpenAlex

BACKGROUND Acute ischemic stroke (AIS) is a leading global cause of disability and mortality, with post-stroke cognitive impairment (PSCI) affecting 20%-40% of survivors. PSCI ranges from mild cognitive decline to dementia, severely hindering functional recovery, increasing healthcare costs, and elevating risks of recurrent stroke and death. While nutritional support aids neuronal repair and reduces oxidative damage, and social support alleviates psychological distress, existing studies often evaluate these interventions in isolation. This study investigates the combined effects of standardized nutritional intervention and structured social support on cognitive function, psychological status, and quality of life (QoL) in AIS patients with cognitive dysfunction, aiming to establish an integrated rehabilitation model. AIM To explore the effects of nutritional intervention and social support on the cognitive function and psychological status in patients with acute cerebral infarction complicated by cognitive dysfunction. METHODS A retrospective study was conducted. A total of 59 patients with acute cerebral infarction complicated by cognitive dysfunction from January 2023 to December 2023 were selected as the control group. Another 59 patients with the same condition were selected as the research group. The research group received standardized nutritional intervention and regular social support, including dietary guidance, nutritional supplementation, psychological counseling, and family support plans. The control group received routine medical care. Cognitive function, anxiety, depression, QoL, sleep quality, nutritional status, and family satisfaction were compared between the two groups. RESULTS The Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE) scores of the research group were higher than those of the control group, with statistically significant differences (P < 0.05). Pearson correlation analysis showed that increases in serum albumin (Alb), prealbumin (PAB), and hemoglobin (Hb) were all highly and significantly associated with improvements in MMSE and MoCA scores (P < 0.05). The Self-Rating Anxiety Scale and Self-Rating Depression Scale scores of the research group were lower than those of the control group, with statistically significant differences (P < 0.05). The scores of QoL dimensions in the research group were higher than those of the control group, with statistically significant differences (P < 0.05). The Pittsburgh Sleep Quality Index scores and total score of the research group were lower than those of the control group, with statistically significant differences (P < 0.05). The serum Alb, PAB, and Hb levels in the research group were higher than those of the control group, with statistically significant differences (P < 0.05). The Social Disability Screening Schedule scores of the research group were lower than those of the control group, with statistically significant differences (P < 0.05). The family satisfaction of the research group was significantly higher than that of the control group, with statistically significant differences (P < 0.05). CONCLUSION Nutritional intervention and social support significantly improved the cognitive function, psychological status, and QoL in patients with acute cerebral infarction complicated by cognitive dysfunction. These interventions reduced anxiety and depression symptoms, improved sleep and nutritional status, and enhanced the social adaptability of patients as well as family satisfaction.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.329

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.272
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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