ArticleBMC public health2024
Risks and protection: a qualitative study on the factors for internet addiction among elderly residents in Southwest China communities.
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.
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.
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.
Who cites it
12 citing papers in PubMed, 15 citations in OpenAlex.
- Behavioral and cognitive gains from digital game-based psychological intervention for at-risk Chinese university EFL learners with internet addiction.BMC psychology · 2026Trial
- Internet Use and Self-Rated Health Among Older Adults: Scoping Review.Interactive journal of medical research · 2026Review
- Editorial: Impact of digital addiction on mental health and comorbidities in older adults.Frontiers in behavioral neuroscience · 2026Article
- Beyond access: how heterogeneity of internet use differentially shapes cognitive function among Chinese older adults.Frontiers in public health · 2026Article
- Interpretable machine learning for identifying co-occurring internet addiction and maladaptive cognitive emotion regulation in older adults: a cross-sectional study.Frontiers in public health · 2026Article
- Prediction of smartphone overdependence and analysis of its influencing factors among older adults based on machine learning.Frontiers in psychology · 2026Article
- The Level of Smartphone Addiction and Its Relationship to High Blood Pressure Among Middle-Aged and Elderly People in Rural Areas of China.Nature and science of sleep · 2026Article
- The double-edged sword of internet use in China's aging population: thresholds, mediation and digital health policy.Frontiers in public health · 2025Article
- Internet Fraud among Patients Admitted for Psychoactive Substance Use Disorders in Selected Hospitals of Southwestern Nigeria: Prevalence, Predictors, and Implications.Addiction & health · 2025Article
- Algorithm-associated digital addiction among older adults: mechanisms and public health implications for healthy aging.Frontiers in public health · 2025Article
- Family socioeconomic status and young children digital addiction: a moderated mediation model.Frontiers in psychology · 2024Article
- The Lived Experiences of Individuals and Coping Strategies in the Context of Internet Gaming Disorder: A Qualitative Study Within Higher Education Setting in Uganda.Neuropsychiatric disease and treatment · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.