Evidence map›Paper›PMID 38383336›Full record

ArticleBMC public health2024

The association between the diversity of online activities on smartphones and cognitive function among middle-aged and elderly Chinese adults.

Qian Chen, Haoqiang Ji, Qingxin Shang

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

3 authors.

Qian ChenCollege of Chinese Medicine, Shandong University of Traditional Chinese Medicine, 250300, Jinan, Shandong Province, China.
Haoqiang JiSchool of Public Health, Shandong University, 250012, Jinan, Shandong Province, China. jihaoqiang666@163.com.
Qingxin ShangCollege of Chinese Medicine, Shandong University of Traditional Chinese Medicine, 250300, Jinan, Shandong Province, China. shangqx0531@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany studies have shown that using smartphones can improve cognitive function, but no studies have shown the effect of the diversity of online activities on cognitive function. Therefore, this study explores the association between the diversity of online activity on smartphones and cognitive function among middle-aged and elderly Chinese adults.

methodsA total of 13,347 Chinese middle-aged and elderly participants were used in the final analysis. Multivariate linear regression models were used to explore the relationships among the frequency of smartphone use, number of online activities, various activities, and cognitive function.

resultsWe found that 2,143 respondents (16.1%) used smartphones, and the top three online activities were watching news (80.3%), posting moments (72.4%), and chatting (68.0%) among all smartphone users to access the internet. After adjusting for all covariates, we found that the increase in the frequency of smartphone use and the number of online activities were correlated with a higher cognitive score. Moreover, some online activities, such as watching news (β:0.5, 95% CI:0.2-0.8), posting moments (β:0.4, 95% CI:0.2-0.7) playing games (β:0.3, 95% CI:0.03-0.6) and making mobile payments (β:0.3, 95% CI:0.1-0.5) were independently associated with good cognitive function. DISCUSSION: In the middle-aged and elderly population, smartphone use plays an important role in cognitive function. Considering the increasing prevalence of smartphones among middle-aged and elderly individuals, this study can provide references and insights for health education and in-depth scientific research related to internet usage.

Indexed as

CognitionHealth EducationSmartphoneAgedChinaEast Asian PeopleHumansMiddle AgedChinaCognitive functionOnline activitySmartphoneThe middle-aged and elderly

Identifiers

PMID38383336
PMCPMC10882890

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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.