Purpose This study aimed to analyze the mass and social media contents and structures related to particulate matter before and after the policy enforcement of the comprehensive countermeasures for particulate matter, derive nursing implications, and provide a basis for designing health policies. Methods After crawling online news articles and posts on social networking sites before and after policy enforcement with particulate matter as keywords, we conducted topic and semantic network analysis using TEXTOM, R, and UCINET 6. Results In topic analysis, behavior tips was the common main topic in both media before and after the policy enforcement. After the policy enforcement, influence on health disappeared from the main topics due to increased reports about reduction measures and government in mass media, whereas influence on health appeared as the main topic in social media. However semantic network analysis confirmed that social media had much number of nodes and links and lower centrality than mass media, leaving substantial information that was not organically connected and unstructured. Conclusion Understanding of particulate matter policy and implications influence health, as well as gaps in the needs and use of health information, should be integrated with leadership and supports in the nurses’ care of vulnerable patients and public health promotion.
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Purpose This study aimed to investigate health behavior related to particulate matter (PM) in older adults and examine the factors affectingit. Methods A cross-sectional survey design was used. Data were collected from 150 voluntary older adult participants from Songpa-gu inSeoul. The survey questions measured service perception and experience related to PM, risk perception related to PM, attitude toward riskof PM, and health behavior related to PM. Results The average score for health behavior related to PM was 79.37, ranging from 51 to 115.There was a significant positive correlation between health behavior related to PM and risk perception related to PM (r=.58, p <.001) as wellas between health behavior related to PM and attitude toward risk of PM (r=.70, p<.001). Multiple linear regression revealed that healthbehavior related to PM was predicted by levels of the existence of disease related to PM (β=.14, p=.019), service experience related to PM(b=.20, p=.021), risk perception related to PM (b=.20, p=.019), and attitude toward risk of PM (b=.44, p<.001). The model including thesevariables accounted for 47.0% of health behavior related to PM. Conclusion Korean older adults have the low level of health behaviorrelated to PM. The findings of this study emphasize that risk perception and attitude toward risk of PM should be evaluated, and theunderlying diseases related to PM and their service experience should be considered in developing intervention to improve health behaviorrelated to PM.
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