Evidence map›Paper›PMID 39602795›Full record

ArticleJournal of medical Internet research2024

The Digital Divide and Cognitive Disparities Among Older Adults: Community-Based Cohort Study in China.

Yumeng Li, Chen Liu, Jiaqing Sun, Junying Zhang, Xin Li, Zhanjun Zhang

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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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

23 citing papers in PubMed.

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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

6 authors.

Yumeng LiState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.ORCID 0009-0008-3107-3778
Chen LiuState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.ORCID 0009-0003-4021-3828
Jiaqing SunDepartment of Management, London School of Economics and Political Science, London, United Kingdom.ORCID 0000-0002-7896-5860
Junying ZhangInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.ORCID 0000-0001-9299-0256
Xin LiState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.ORCID 0000-0001-9598-0299
Zhanjun ZhangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.ORCID 0000-0002-6714-3263

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe widespread adoption of information and communication technologies (ICTs) further deepens disparities in resource access, particularly among the aging population. However, the relationship between these factors and their resulting impact on cognitive abilities remains uncertain.

objectiveThis study aims to investigate the potential impact of the digital divide on individuals' cognitive function and its association with the development and reversion of mild cognitive impairment (MCI).

methodsThis cohort study used data from Beijing Aging Brain Rejuvenation (BABRI) study applying a multistage cluster sampling design between 2008 and 2020. The digital divide was quantified by the frequency of using ICTs. Analysis of covariance (ANCOVA), mixed linear models, and Cox proportional hazards models were used to model the association of digital divide and multidomain cognition.

resultsAmong the 10098 participants, nearly half (n=4941, 48.9%) faced the digital divide, which was associated with a worse performance in processing speed (F

conclusionsOvercoming the digital divide was significantly associated with improved cognitive function, a slower aging rate in cognitive performance, a reduced risk of developing MCI, and a higher likelihood of reverting from MCI to normal cognition.

Indexed as

CognitionCognitive DysfunctionDigital DivideAgedAged, 80 and overChinaCohort StudiesFemaleHumansMaleMiddle AgedagingANCOVAChinacognitive agingcognitive disparitiescognitive functioncohort studycommunity-basedCox proportional hazardsdigital dividedigital healthelderlyICTinformation and communication technologiesinternetinternet usemental healthmHealthmild cognitive impairmentmixed linear modelolder adultresource inequalitysocioeconomic status

Identifiers

PMID39602795
PMCPMC11635332

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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.