ArticleInternational journal of environmental research and public health2020
Social and Demographic Patterns of Health-Related Internet Use Among Adults in the United States: A Secondary Data Analysis of the Health Information National Trends Survey.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 2 of them syntheses that pooled 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.
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
66 citing papers in PubMed, 2 syntheses or guidelines pooled it, 113 citations in OpenAlex.
- Characteristics of the Measurement Tools for Assessing Health Information-Seeking Behaviors in Nationally Representative Surveys: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Prevalence of computer vision syndrome: A systematic review and meta-analysis.Journal of optometryPooled it
- Trial
- Patient-centered online health information on diverticulitis: Assessing the readability, content, and overall quality.American journal of surgery · 2026Article
- Evaluation of large language model responses to patient questions on oral anticoagulant therapy: a comparative expert assessment.Exploratory research in clinical and social pharmacy · 2026Article
- AI-generated patient education for ankylosing spondylitis: a comparative study of readability and quality.Clinical rheumatology · 2026Article
- Evaluating large language models using the Type 2 Diabetes Health Education guideline: a comparative analysis of ChatGPT-4.1, Claude-4.0, DeepSeek-V3, and ERNIE Bot 4.5 Turbo.Frontiers in public health · 2026Article
- Political ideology, sociodemographic factors, and social media health information engagement among U.S. adults: evidence from HINTS 2024.Frontiers in digital health · 2026Article
- ChatGPT-4 vs. DeepSeek-V3: a comparative study of response quality, reliability, usefulness, and readability for exercise and rehabilitation strategies in patients with ankylosing spondylitis.Clinical rheumatology · 2026Article
- Diagnostic Performance of ChatGPT-4o in Classifying Idiopathic Epiretinal Membrane Based on Optical Coherence Tomography.Journal of clinical medicine · 2025Article
- High patient and surgeon satisfaction with ChatGPT-generated responses to real patient questions regarding total knee arthroplasty.Journal of orthopaedic surgery and research · 2025Article
- Evaluating the readability and quality of AI-generated scoliosis education materials: a comparative analysis of five language models.Scientific reports · 2025Article
- The assessment of ChatGPT-4's performance compared to expert's consensus on chronic lateral ankle instability.Journal of experimental orthopaedics · 2025Article
- Evaluating evidence-based health information from generative AI using a cross-sectional study with laypeople seeking screening information.NPJ digital medicine · 2025Article
- Enhancing responses from large language models with role-playing prompts: a comparative study on answering frequently asked questions about total knee arthroplasty.BMC medical informatics and decision making · 2025Article
- Developing the MyCancerGene Digital Health Portal to Improve Patients' Understanding of Germline Cancer Genetic Test Results: Development, User, and Usability Testing Study.JMIR formative research · 2025Article
- Performance of artificial intelligence chatbots in responding to the frequently asked questions of patients regarding dental prostheses.BMC oral health · 2025Article
- Evaluating the Effectiveness of Large Language Models in Providing Patient Education for Chinese Patients With Ocular Myasthenia Gravis: Mixed Methods Study.Journal of medical Internet research · 2025Article
- Digital Interventions for People Waitlisted for Mental Health Services: A Needs Assessment and Preference Survey.Practice innovations (Washington, D.C.) · 2025Article
- Google Trends Analysis of Interest in Smoking Cessation, Treatment Options, and Electronic Nicotine Delivery Systems Following Tax Increase and Introduction of Pictorial Health Warnings in Germany.Tobacco use insights · 2025Article
6 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
National surveys of U.S. adults have observed significant increases in health-related internet use (HRIU), but there are documented disparities. The study aims to identify social and demographic patterns of health-related internet use among U.S. adults. Using data from the Health Information National Trends Survey (HINTS) 4 cycle 3 and HINTS 5 cycle 1, we examined HRIU across healthcare, health information seeking, and participation on social media. Primary predictors were gender, race/ethnicity, age, education, income, and nativity with adjustments for smoking and survey year. We used multivariable logistic regression with survey weights to identify independent predictors of HRIU. Of the 4817 respondents, 43% had used the internet to find a doctor; 80% had looked online for health information. Only 20% had used social media for a health issue; 7% participated in an online health support group. In multivariable models, older and low SES participants were significantly less likely to use the internet to look for a provider, use the internet to look for health information for themselves or someone else, and less likely to use social media for health issues. Use of the internet for health-related purposes is vast but varies significantly by demographics and intended use.
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.