Evidence map›Paper›PMID 36530716›Full record

ArticleFrontiers in public health2022

Network analysis of anxiety and depression in the functionally impaired elderly.

Tianqi Yang, Zhihua Guo, Xiaoqin Cao, Xia Zhu, Qin Zhou, Xinhong Li, Hui Wang, Xiuchao Wang, Lin Wu, Shengjun Wu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
8.0field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 44 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Tianqi YangDepartment of Military Medical Psychology, Air Force Medical University, Shaanxi, China.
Zhihua GuoDepartment of Military Medical Psychology, Air Force Medical University, Shaanxi, China.
Xiaoqin CaoXijing Hospital, Air Force Medical University, Shaanxi, China.
Xia ZhuDepartment of Military Medical Psychology, Air Force Medical University, Shaanxi, China.
Qin ZhouXijing Hospital, Air Force Medical University, Shaanxi, China.
Xinhong LiTangdu Hospital, Air Force Medical University, Shaanxi, China.
Hui WangDepartment of Military Medical Psychology, Air Force Medical University, Shaanxi, China.
Xiuchao WangDepartment of Military Medical Psychology, Air Force Medical University, Shaanxi, China.
Lin WuDepartment of Military Medical Psychology, Air Force Medical University, Shaanxi, China.
Shengjun WuDepartment of Military Medical Psychology, Air Force Medical University, Shaanxi, China.
Xufeng LiuDepartment of Military Medical Psychology, Air Force Medical University, Shaanxi, China.
Air Force Medical University · CNXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Evidence from previous studies has confirmed that functionally impaired elderly individuals are susceptible to comorbid anxiety and depression. Network theory holds that the comorbidity emerges from interactions between anxiety and depression symptoms. This study aimed to investigate the fine-grained relationships among anxiety and depression symptoms in the functionally impaired elderly and identify central and bridge symptoms to provide potential targets for intervention of these two comorbid disorders. Methods: A total of 325 functionally impaired elderly individuals from five communities in Xi'an, China, were recruited for our investigation. The GAD-7 and PHQ-9 were used to measure anxiety and depression, respectively. SPSS 22.0 software was used for descriptive statistics, and R 4.1.1 software was used for network model construction, expected influence (EI) evaluation and bridge expected influence (BEI) evaluation. Results: In the network, there were 35 edges (indicating partial correlations between symptoms) across the communities of anxiety and depression, among which the strongest edge was A1 "Nervousness or anxiety"-D2 "Depressed or sad mood." A2 "Uncontrollable worry" and D2 "Depressed or sad mood" had the highest EI values in the network, while A6 "Irritable" and D7 "Concentration difficulties" had the highest BEI values of their respective community. In the flow network, the strongest direct edge of D9 "Thoughts of death" was with D6 "Feeling of worthlessness." Conclusion: Complex fine-grained relationships exist between anxiety and depression in functionally impaired elderly individuals. "Uncontrollable worry," "depressed or sad mood," "irritable" and "concentration difficulties" are identified as the potential targets for intervention of anxiety and depression. Our study emphasizes the necessity of suicide prevention for functionally impaired elderly individuals, and the symptom "feeling of worthlessness" can be used as an effective target.

Indexed as

DepressionFrail ElderlyAgedAnxietyAnxiety DisordersComorbidityHumansanxietydepressionelderlyfunctional impairmentnetwork analysis

Identifiers

PMID36530716
PMCPMC9751796
OpenAlexW4310496402

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.