Evidence map›Paper›PMID 36397038›Full record

ArticleBMC medical informatics and decision making2022

Probabilistic linguistic fuzzy cognitive maps: applications to the critical factors affecting the health of rural older adults.

Jian Wu, Yucheng Chen, Zengwen Wang, Guoheng Hu, Chen Chen

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
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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

5 authors at 2 institutions in 1 country.

Jian WuThe Center for Social Security Studies, Wuhan University, Wuhan, 430072, China.
Yucheng ChenSchool of Political Science and Law, University of Jinan, Shandong, 250022, China.
Zengwen WangThe Center for Social Security Studies, Wuhan University, Wuhan, 430072, China. wzwlm922@163.com.
Guoheng HuThe Center for Social Security Studies, Wuhan University, Wuhan, 430072, China.
Chen ChenThe Center for Social Security Studies, Wuhan University, Wuhan, 430072, China.
Wuhan University · CNShandong University of Political Science and Law · CN

Funding

Ministry of education of Humanities and Social Science Planning Fund project 21YJA630093National Social Science Foundation Key Projects of China 21AZD072
6 · The paper itself

Abstract

backgroundAchieving healthy ageing has become the only way for China to alleviate the pressure of ageing, especially in rural areas. However, the factors affecting the health of rural older adults are numerous and complex. It is important to identify the critical factors that affecting the health of older adults in rural areas and provide decision-making support for targeted health interventions.

methodsTo overcome some limitations of existing works, an extended probabilistic linguistic fuzzy cognitive map model is proposed in this paper as a useful tool for modeling the cause-effect relationship between factors. The proposed model integrates the advantages of probabilistic linguistic term sets and fuzzy cognitive maps. In the end, to rank and identify the critical factors affecting the health, a novel similarity measure based on Euclidean distance and Z-mapping function is proposed.

resultsThe proposed model can effectively deal with the uncertainty of experts and reflect different opinions of groups well. In terms of representing uncertainty and ambiguity, the proposed method outperforms other models in modeling complex systems. In the real-world case analysis, we find that education is the most important factor affecting the health of rural older adults, followed by previous occupational experiences, psychology, and physical exercise, among other things. Intergenerational relationship has become another important factor affecting the health of rural older adults in China as the development of Chinese society.

conclusionsFrom a macro perspective, social economic status, living environment, lifestyle, and health management, are the variables that have the greatest impact on the health of rural older adults. As a result, providing more precise health interventions with the characteristics of factors influencing health is a crucial guarantee for preserving and improving the health of rural older adults in China.

Indexed as

LinguisticsRural PopulationAgedChinaCognitionHumansSocioeconomic FactorsCause–effect analysisProbabilistic linguistic fuzzy cognitive mapsSimilarity measureThe health of rural older adults

Identifiers

PMID36397038
PMCPMC9673458
OpenAlexW4309235950

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.