Evidence map›Paper›PMID 38093173›Full record

ArticleBMC geriatrics2023

Predictors for quality of life in older adults: network analysis on cognitive and neuropsychiatric symptoms.

Chaoqun He, Xiangyi Kong, Jinhui Li, Xingyi Wang, Xinqiao Chen, Yuanyi Wang, Qing Zhao, Qian Tao

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

8 authors at 5 institutions in 2 countries.

Chaoqun He *Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Xiangyi Kong *China-Japan Union Hospital of Jilin University, Jilin University, Changchun, 130031, China.
Jinhui LiDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Xingyi WangChina-Japan Union Hospital of Jilin University, Jilin University, Changchun, 130031, China.
Xinqiao ChenThe First Bethune Hospital of Jilin University, Jilin University, Changchun, 130021, China.
Yuanyi WangThe First Hospital of Jilin University, Jilin University, Changchun, 130021, China.
Qing ZhaoChina-Japan Union Hospital of Jilin University, Jilin University, Changchun, 130031, China. zhaoqing@jlu.edu.cn.
Qian TaoDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China. taoqian16@jnu.edu.cn.
Jinan University · CNUnion Hospital · CNFirst Bethune Hospital of Jilin University · CNJilin University · CNUnion Hospital · CN

Funding

National Key R&D Program of China 2020YFC2005800, 2020YFC2005802, 2021ZD0203100, 2021ZD0203103
6 · The paper itself

Abstract

backgroundQuality of life (QoL) of older adults has become a pivotal concern of the public and health system. Previous studies found that both cognitive decline and neuropsychiatric symptoms (NPS) can affect QoL in older adults. However, it remains unclear how these symptoms are related to each other and impact on QoL. Our aim is to investigate the complex network relationship between cognitive and NPS symptoms in older adults, and to further explore their association with QoL.

methodsA cross-sectional study was conducted in a sample of 389 older individuals with complaints of memory decline. The instruments included the Neuropsychiatric Inventory, the Mini Mental State Examination, and the 36-item Short Form Health Survey. Data was analyzed using network analysis and mediation analysis.

resultsWe found that attention and agitation were the variables with the highest centrality in cognitive and NPS symptoms, respectively. In an exploratory mediation analysis, agitation was significantly associated with poor attention (β = -0.214, P < 0.001) and reduced QoL (β = -0.137, P = 0.005). The indirect effect of agitation on the QoL through attention was significant (95% confidence interval (CI) [-0.119, -0.035]). Furthermore, attention served as a mediator between agitation and QoL, accounting for 35.09% of the total effect.

conclusionsBy elucidating the NPS-cognition-QoL relationship, the current study provides insights for developing rehabilitation programs among older adults to ensure their QoL.

Indexed as

Cognitive DysfunctionQuality of LifeAgedCognitionCross-Sectional StudiesHumansAgitationAttentionCognitionMediationNetwork analysisNeuropsychiatric symptomsQuality of life

Identifiers

PMID38093173
PMCPMC10720074
OpenAlexW4389685800

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.