Evidence map›Paper›PMID 38058683›Full record

ArticleWorld journal of psychiatry2023

Analysis of mental health status and related factors in patients with acute cerebral infarction.

Qing-Qin Chen, Fu-Mei Lin, Dan-Hong Chen, Yi-Min Ye, Guo-Mei Gong, Fen-Fei Chen, Su-Fen Huang, Shan-Ling Peng

Open access · diamondAbstract read
In one paragraph

Article in World journal of psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Impact of Evidence-Based Nursing Interventions on Prognosis of Patients with Acute Cerebral Infarction.Medical science monitor : international medical journal of experimental and clinical research · 2025
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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

8 authors at 1 institution in 1 country.

Qing-Qin ChenQuanzhou Medical College, Quanzhou 362000, Fujian Province, China.
Fu-Mei LinDepartment of Emergency, Fuqing City Hospital Affiliated to Fujian Medical University, Fuqing 350300, Fujian Province, China.
Dan-Hong ChenDepartment of Neurology, Quanzhou First Hospital, Quanzhou 362000, Fujian Province, China.
Yi-Min YeQuanzhou Medical College, Quanzhou 362000, Fujian Province, China.
Guo-Mei GongQuanzhou Medical College, Quanzhou 362000, Fujian Province, China.
Fen-Fei ChenQuanzhou Medical College, Quanzhou 362000, Fujian Province, China.
Su-Fen HuangQuanzhou Medical College, Quanzhou 362000, Fujian Province, China.
Shan-Ling PengDepartment of Nursing, The 900 Hospital of the Joint Service Support Force of the People's Liberation Army of China, Fuzhou 350025, Fujian Province, China. psl3030@163.com.
Quanzhou Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute cerebral infarction (ACI) is characterized by a high incidence of morbidity, disability, recurrence, death and heavy economic burden, and has become a disease of concern in global researchers. As ACI has serious effects on patients' physical status, life and economy, often causing anxiety, depression and other psychological problems, these problems can lead to the aggravation of physical symptoms; thus, it is very important to understand the factors affecting the mental health of these patients.

aimTo understand the elements that affect the mental health of patients who have suffered an ACI.

methodsA questionnaire survey was conducted among patients with ACI admitted to three tertiary hospitals (Quanzhou First Hospital, Fuqing City Hospital Affiliated to Fujian Medical University, and the 900 Hospital of the Joint Service Support Force of the People's Liberation Army of China) in Fujian Province from January 2022 to December 2022 using the convenience sampling method. ACI inpatients who met the inclusion criteria were selected. Informed consent was obtained from the patients before the investigation, and a face-to-face questionnaire survey was conducted using a unified scale. The questionnaire included a general situation questionnaire, Zung's self-rating depression scale and Zung's self-rating anxiety scale. All questionnaires were checked by two researchers and then the data were input and sorted using Excel software. The general situation of patients with ACI was analyzed by descriptive statistics, the influence of variables on mental health by the independent sample

resultsThe average age of the 220 patients with ACI was 68.64 ± 10.74 years, including 142 males and 78 females. Most of the patients were between 60 and 74 years old, the majority had high school or technical secondary school education, most lived with their spouse, and most lived in cities. The majority of patients had a personal income of 3001 to 5000 RMB yuan per month. The new rural cooperative medical insurance system had the largest number of participants. Most stroke patients were cared for by their spouses and of these patients, 52.3% had previously smoked. Univariate analysis showed that gender, age, residence, course of disease, number of previous chronic diseases and smoking history were the main factors affecting the anxiety scores of patients with ACI. Age, living conditions, monthly income, course of disease and knowledge of disease were the primary variables influencing the depression score in patients with ACI. The findings of multivariate analysis revealed that the course of disease and gender were the most important factors influencing patients' anxiety scores, and the course of disease was also the most important factor influencing patients' depression scores.

conclusionLong disease course and female patients with ACI were more likely to have psychological problems such as a high incidence of emotional disorders. These groups require more attention and counseling.

Indexed as

Acute cerebral infarctionCorrelation analysisInfluencing factorMental healthSelf-rating anxiety scaleSelf-rating depression scale

Identifiers

PMID38058683
PMCPMC10696289
OpenAlexW4387556532

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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.