Evidence map›Paper›PMID 41044530›Full record

ArticleBMC public health2025

Analysis of factors influencing digital literacy of rural elderly people-evidence from China.

Zhaoting Zhang

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

1 author.

Zhaoting ZhangZhong Gong Xu Zhou Shi Wei Dang Xiao (Xuzhou Administration Institute), Xuzhou, 221000, China. zhangzhaoting2023@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo analyze the factors influencing the digital Literacy of the rural elderly, this study conducted interviews with people aged 60 and above in rural towns in eastern, central, and western China. The study examines the correlation between digital literacy and influencing factors among the elderly.

methodsThe categories of digital literacy and influencing factors were first identified. The study selected digital activities such as digital operations and digital social interactions, along with influencing factors such as education, income, and health status, for correlation analysis.

resultsThe correlation analysis showed that good education, income, and health status are significantly positively correlated with digital literacy.

conclusionMost aspects of digital literacy are significantly positively correlated with educational background, income level, and health status. Therefore, it is important to provide education and training opportunities to improve the digital skills of rural elderly people with low education and income levels. Enhancing social welfare for the rural elderly and improving their economic living standards are crucial. Additionally, more attention to the health status of the rural elderly will help increase their acceptance and usage of digital technology. Improving digital literacy can lead to higher happiness and better quality of life for the rural elderly.

Indexed as

Computer LiteracyDigital TechnologyHealth LiteracyRural PopulationAgedAged, 80 and overChinaEducational StatusFemaleHealth StatusHumansInterviews as TopicMaleMiddle AgedCorrelation analysisDigital literacyInfluencing factorsRural elderly

Identifiers

PMID41044530
PMCPMC12495709

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.