ArticleHealthcare (Basel, Switzerland)2021
Health Information Related to Cardiovascular Diseases Broadcast on Chinese Television Health Programs.
Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Association between ethnicity and health knowledge among the floating population in China.Cost effectiveness and resource allocation : C/E · 2022Article
- How compulsive WeChat use and information overload affect social media fatigue and well-being during the COVID-19 pandemic? A stressor-strain-outcome perspective.Telematics and informatics · 2021Article
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 1 institution in 1 country.
Funding
Abstract
This study aims to add to the knowledge about information depicted in television health programs in China. Cardiovascular diseases (CVDs) are the leading cause of death in the country. The threat it poses is particularly notable among the Hui ethnic minority people, who have a higher prevalence of cardiovascular risk factors. Little research has been conducted thus far on content concerning CVDs in Chinese television health programs, and this study aims to fill this lacuna. Qualitative content analysis was conducted to analyze
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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.