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Health Promotion International
Article . 2020 . Peer-reviewed
License: OUP Standard Publication Reuse
Data sources: Crossref
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Air pollution in China: health information seeking and protective behaviors

Authors: Qinghua, Yang; Shiwen, Wu;

Air pollution in China: health information seeking and protective behaviors

Abstract

Abstract Haze has become one of the most life-threatening problems in China. Chinese people become more dependent on receiving health information from social media, especially WeChat, which shapes their health perceptions and behaviors. Despite the prevalence of health information-seeking behavior (HISB) on WeChat, the predicting factors and consequences of Chinese people’s haze HISB using WeChat remain unclear. To fill this gap, a hypothesized model was proposed under the risk perception attitude framework and tested with a longitudinal web-based survey of Chinese people residing in Mainland China, to understand the antecedents and behavioral outcomes of HISB on WeChat. The results from the structural equation modeling showed that perceived risk significantly predicted haze HISB on WeChat, which predicted the intention of wearing PM2.5 mask but not reducing outdoor exercises. The efficacy beliefs of both protective behaviors were not significant predictor of haze HISB. Theoretical and practical implications were discussed.

Related Organizations
Keywords

China, Air Pollution, Health Behavior, Information Seeking Behavior, Humans, Social Media

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    16
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Average
Top 10%
hybrid