Evidence map›Paper›PMID 39614326›Full record

ArticleBMC psychology2024

Anxiety and depression in Chinese cataract patients: a network analysis.

Qi Zhang, Fei Wen, Bin Li

Abstract read
In one paragraph

Article in BMC psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

3 authors.

Qi ZhangDepartment of Public Health, Qinghai University Medical College, Xining, 810001, China.
Fei WenThe Xining First People's Hospital, Xining, 810000, China.
Bin LiDepartment of Public Health, Qinghai University Medical College, Xining, 810001, China. libin@qhu.edu.cn.

Funding

Qinghai Provincial Department of Science and Technology 2024-SF-125
6 · The paper itself

Abstract

backgroundPrior research has demonstrated that people with cataracts are more likely to experience anxiety and depression co-occurring when the condition advances to a degree that impairs vision beyond its physiological effects. According to network theory, there is a connection between the interplay of anxiety and depression and the genesis of comorbidity. Using a network viewpoint, our study examined the network properties of anxiety-depression in cataract patients to pinpoint central and bridge symptoms as well as possible intervention targets for more focused and successful therapies.

methodA total of 1,254 cataract patients were enrolled in our study. The Nine-item Patient Health Questionnaire (PHQ-9) and the Seven-item Generalized Anxiety Disorder scale (GAD-7) were used to measure depression and anxiety symptoms, respectively. The R 4.3.3 software was utilized for network model building and descriptive statistics. Furthermore, we displayed a "Thoughts of death" flow network.

resultIn the network, A5 "Restlessness"- D7 "Concentration difficulties" showed the strongest edge. A2 "Uncontrollable worry" and D2 "Depressed or sad mood" could be identified as the central symptoms. A7 "Afraid something will happen" and D7 "Concentration difficulties" could be identified as bridge symptoms. The strongest edge in the flow network was D9 "Thoughts of death"-D6 "Feeling of worthlessness".

conclusion"Uncontrollable worry", "Depressed or sad mood", "Afraid something will happen" and "Concentration difficulties" could be potential targets for the prevention of anxiety and depression in cataract patients. Furthermore, this study emphasizes how important it is to prevent suicide in cataract patients, and the symptom "Feeling of worthlessness" can be used as an effective target.

Indexed as

AnxietyCataractDepressionAdultAgedAged, 80 and overChinaComorbidityEast Asian PeopleFemaleHumansMaleMiddle AgedAnxietyCataract patientsComorbidityDepressionNetwork analysisSuicide ideation

Identifiers

PMID39614326
PMCPMC11607953

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.