Evidence map›Paper›PMID 38378524›Full record

ArticleBMC public health2024

Risks and protection: a qualitative study on the factors for internet addiction among elderly residents in Southwest China communities.

Dan Wang, Xinyi Liu, Kun Chen, Chunyan Gu, Hongyan Zhao, Yong Zhang, Yu Luo

Open access · goldAbstract 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
17.0field-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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
  2. Internet Use and Self-Rated Health Among Older Adults: Scoping Review.Interactive journal of medical research · 2026
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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 at 1 institution in 1 country.

Dan WangSchool of Nursing, Army Medical University, Third Military Medical University, No. 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
Xinyi LiuSchool of Nursing, Army Medical University, Third Military Medical University, No. 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
Kun ChenSchool of Nursing, Army Medical University, Third Military Medical University, No. 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
Chunyan GuShuangbei Community Health Service Center, No.14 Shuangbei Street, Shapingba District, Chongqing, 400030, China.
Hongyan ZhaoXiaolongkan Community Health Service Center, No.4 Xiaolongkan Street, Shapingba District, Chongqing, 400030, China.
Yong ZhangShuangbei Community Health Service Center, No.14 Shuangbei Street, Shapingba District, Chongqing, 400030, China.
Yu LuoSchool of Nursing, Army Medical University, Third Military Medical University, No. 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. luoyuhlgl@tmmu.edu.cn.
Army Medical University · CN

Funding

Chongqing Natural Science Fund CSTB2023NSCQ-MSX0489
6 · The paper itself

Abstract

backgroundIn the global trend of actively promoting the participation of older adults in the digital age, the relevant negative issues featuring potential Internet Addiction (IA) among them has risen to be a new challenge facing the global public health. However, there is a severe lack of related research. This study aimed to gain a comprehensive understanding of the phenomenon and process of IA among the elderly. The purpose of this paper is to introduce factors that may influence IA in the demographic.

methodsThis study employed qualitative descriptive research methods to investigate older adults' perceptions and experiences of IA. Semi-structured in-depth personal interviews were conducted between March and June 2023 with 36 senior citizens from urban communities in Chongqing, Southwest China. Data were analyzed via inductive content analysis methods.

resultsThrough data analysis, 2 main categories concerning IA in older adults were identified: risk factors and protective factors. The risk factor categories include 5 individual factors (e.g., Internet as the major avenue for pursuing personal hobbies and interests, etc.), 3 family factors (e.g., household WIFI increasing the risk of prolonged Internet use indoors, etc.), 2 peer factors (e.g., peer recommendation and guidance as catalysts for intensified Internet engagement, etc.), 2 socio-environmental factors (e.g., the widespread daily Internet use spurs offline intolerance, etc.), and 3 Internet platform factors (e.g., the plenitude of online content triggers endless viewing/browsing behaviors, etc.). The category of protective factors encompasses 2 individual factors (e.g., a higher level of perceived risk regarding internet health hazards, etc.) and 2 family factors (e.g., more family commitment, etc.).

conclusionsOlder adults' Internet addictive behaviors are shaped by multiple and complex internal and external factors. A higher level of online health risk perception is a key protective factor to effectively avoid the occurrence and deterioration of IA among the aged, a distinct finding from this study. It is believed that the "individual-family-peer-community" synergy strategy is expected to become an essential direction for IA intervention for older adults, in order to promote healthy Internet use among older adults.

Indexed as

Behavior, AddictiveInternet Addiction DisorderAgedChinaHumansInternetPeer GroupResearch DesignInternet addictionOlder adultsProtective factorsQualitative researchRisk factors

Identifiers

PMID38378524
PMCPMC10880227
OpenAlexW4391985488

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.