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KMID : 0387420230340010013
Korean Society of Oriental Neuropsychiatry
2023 Volume.34 No. 1 p.13 ~ p.21
Correlation Analysis among Searches of Hwa-Byung, Depression, and Suicide Using Big Data: from 2016 to 2022
Kwon Chan-Young

Kim Won-Ill
Abstract
Objectives: The aim of this study was to analyze correlations among searches of hwa-byung, depression, and suicide using big data.

Methods: Keywords searches were performed using both Google Trends and Naver Data Lab on December 13, 2022. From 2016 to 2022, search results for keywords ¡®hwa-byung¡¯, ¡®depression¡¯, and ¡®suicide¡¯ were extracted with a score between 0 and 100 in terms of relative search popularity (RSP). Monthly time analysis, correlation analysis, and regional analysis were then conducted for these scores.

Results: Regardless of the search period, RSP for both portal sites was in the order of ¡®suicide¡¯, ¡®depression¡¯, and ¡®hwa-byung¡¯. Over time, search for ¡®depression¡¯ tended to increase in Google (slope: 0.0092), whereas search for ¡®hwa-byung¡¯ showed a slight increase in Naver (slope: 0.0024). Correlation coefficient for search terms ¡®depression¡¯ and ¡®suicide¡¯ was 0.3969 in Google Trends and 0.4459 in Naver Data Lab, showing clear positive correlations. On the other hand, there was little correlation between search results of ¡®hwa-byung¡¯ and ¡®depression¡¯ or between ¡®hwa-byung¡¯ and ¡®suicide¡¯. However, compared to males, females showed higher positive associations between search results of ¡®hwa-byung¡¯ and ¡®depression¡¯ and between ¡®hwa-byung¡¯ and ¡®suicide¡¯. Search terms ¡®depression¡¯ and ¡®suicide¡¯ showed high RSPs in most regions in South Korea. However, ¡®hwa-byung¡¯ had distinct regional differences in terms of RSP.

Conclusions: Results of this study will help us understand Korean public¡¯s perception of the relevance of hwa-byung, depression, and suicide and plan future research in this topic. In addition, findings of this study may provide future public health implications for reducing the high suicide rate in Korea.
KEYWORD
Suicide, Hwa-byung, Depression, Big data, Correlation
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