ArticleHeliyon2023
Behavior patterns and influencing factors: Health information acquisition behavior of Chinese senior adults on WeChat.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis 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
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Social Media and eHealth Literacy Among Older Adults: Systematic Literature Review.Journal of medical Internet research · 2025Pooled it
- Health Information-Seeking Behavior in Older Adults with Vision Impairment Among Different Stages of Eye Care: A Cross-Sectional Comparative Study.Geriatrics (Basel, Switzerland) · 2025Article
- Digital health literacy among older adults in China: a cross-sectional study on prevalence and influencing factors.Frontiers in public health · 2025Article
- Protocol for a randomized controlled trial on the impact of a health action process approach model-based mobile health intervention via WeChat on health behaviors of brucellosis patients.Frontiers in public health · 2025Article
- Hip fractures in Chinese TikTok (Douyin) short videos: an analysis of information quality, content and user comment attitudes.Frontiers in public health · 2025Article
- The environmental health literacy level was effectively improved of residents in Shaanxi Province, China, 2022.Frontiers in public health · 2024Article
- Factors influencing the continuance intention of the women's health WeChat public account: an integrated model of UTAUT2 and HBM.Frontiers in public health · 2024Article
- Predicting and Empowering Health for Generation Z by Comparing Health Information Seeking and Digital Health Literacy: Cross-Sectional Questionnaire Study.Journal of medical Internet research · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Due to the gradual adoption of WeChat by older adults in China and their interest in health information, Chinese older people started to acquire health information through WeChat. We explored the specific patterns and influencing factors of the elderly's health information acquisition behavior senior adults. The cross-sectional study collected self-reported data with survey (N = 336) in the southeast of China, Zhejiang province. The findings of this study extend the previous research by suggesting that elderly adults' health information acquisition behavior has three patterns (actively seeking, passively browsing, and long-term collecting). These findings contribute to a better understanding of digital literacy, three dimensions of health literacy and their relationship with three specific patterns of health acquisition behavior. This study also provides practical insights related to narrow the technological gap of the older adults, improve their e-Health literacy of the elderly, and purify the health information environment in the network.
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.