Evidence map›Paper›PMID 38356943›Full record

ArticleFrontiers in public health2024

The relationship between Internet use and loneliness of middle-aged and older adult people: the moderating effect of residence.

Qiusha Li, Chunxiao Yang, Zixuan Zhao, Chenxiao Yang, Zhongming Chen, Dongmei Huang, Wenqiang Yin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2024. 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
18.8field-weighted citation impact, top 1% 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, 11 citations in OpenAlex.

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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

7 authors.

Qiusha LiSchool of Public Health, Shandong Second Medical University, Weifang, Shandong, China.
Chunxiao YangSchool of Public Health, Shandong Second Medical University, Weifang, Shandong, China.
Zixuan ZhaoSchool of Public Health, Shandong Second Medical University, Weifang, Shandong, China.
Chenxiao YangSchool of Management, Shandong Second Medical University, Weifang, Shandong, China.
Zhongming ChenSchool of Management, Shandong Second Medical University, Weifang, Shandong, China.
Dongmei HuangSchool of Management, Shandong Second Medical University, Weifang, Shandong, China.
Wenqiang YinSchool of Management, Shandong Second Medical University, Weifang, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The proportion of middle-aged and older adult people exposed to the Internet continues to grow. Internet use may have an impact on the mental health of the older adult, especially loneliness. This study analyzed the relationship between Internet use and presence of loneliness. Methods: A total of 550 person aged 45 years and above were randomly selected from a province in eastern China at the end of 2022. The outcome variable was presence of loneliness, as measured by self-report. Descriptive analysis, chi-square test and binary logistic analysis were used to analyze the data. Results: 58.3% of respondents use the Internet. Internet use could reduce the possible of reported loneliness in middle-aged and older adult people ( Conclusion: There is a significant negative correlation between Internet use and presence of loneliness, but different Internet duration and content have different effects on loneliness in middle-aged and older adult people. We should pay attention to the impact of Internet use on loneliness in middle-aged and older adult people.

Indexed as

Internet UseLonelinessAgedChinaEmotionsHumansInternetMiddle Ageddigital divideInternet uselonelinessmiddle-agedolder adult

Identifiers

PMID38356943
PMCPMC10864488
OpenAlexW4391397963

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.