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RISS 인기검색어
- 검색키워드
- 저자 : Laura L. Hayman (검색결과 3 건)
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서은지,안정아,Laura L. Hayman,김춘자 한국간호과학회 2018 Asian Nursing Research Vol.12 No.3
Purpose: This study examined whether depressive symptoms and health-promoting lifestyle behaviors mediate the association between perceived stress and quality of life (QoL) in university students. Methods: Using a cross-sectional survey, Korean university students (N = 187, Mage = 23.97 years; 54.0% Woman) completed structured questionnaires with psychometric adequacy. A parallel multiple mediation model was used to test the mediating effect of depressive symptoms and health-promoting lifestyle behaviors on the relationship between perceived stress and QoL. Results: Total effect of perceived stress, depressive symptoms, and health-promoting lifestyle behaviors on QoL was -.55. Of these, total indirect mediating effect was -.50, whereas direct effect was only -.05 in the parallel mediation model. In particular, depressive symptoms (indirect effect = -.32) and healthpromoting lifestyle behaviors (indirect effect = -.18) completely mediated the relationship between perceived stress and QoL. Conclusion: The results suggest that effective strategies primarily focusing on improving depressive symptoms along with health behaviors are needed to decrease the negative effect of perceived stress on QoL.
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A Three-Year Autoregressive Cross-Lagged Panel Analysis on Nicotine Dependence and Average Smoking
송태민,안지영,Laura L. Hayman,김계수,이주열,장해란 대한의료정보학회 2012 Healthcare Informatics Research Vol.18 No.2
Objectives: Previous studies have been limited to the use of cross sectional data to identify the relationships between nicotine dependence and smoking. Therefore, it is difficult to determine a causal direction between the two variables. The purposes of this study were to 1) test whether nicotine dependence or average smoking was a more influential factor in smoking cessation; and 2) propose effective ways to quit smoking as determined by the causal relations identified. Methods: This study used a panel dataset from the central computerized management systems of community-based smoking cessation programs in Korea. Data were stored from July 16, 2005 to July 15, 2008. 711,862 smokers were registered and re-registered for the programs during the period. 860 of those who were retained in the programs for three years were finally included in the dataset. To measure nicotine dependence, this study used a revised Fagerström Test for Nicotine Dependence. To examine the relationship between nicotine dependence and average smoking, an autoregressive cross-lagged model was explored in the study. Results: The results indicate that 1) nicotine dependence and average smoking were stable over time; 2) the impact of nicotine dependence on average smoking was significant and vice versa; and 3) the impact of average smoking on nicotine dependence is greater than the impact of nicotine dependence on average smoking. Conclusions: These results support the existing data obtained from previous research. Collectively, reducing the amount of smoking in order to decrease nicotine dependence is important for evidence-based policy making for smoking cessation.
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송태민,안지영,송주영,Laura L. Hayman,우종민 연세대학교의과대학 2014 Yonsei medical journal Vol.55 No.1
Purpose: The average mortality rate for death by suicide among OECD countries is 12.8 per 100000, and 33.5 for Korea. The present study analyzed big data extracted from Google to identify factors related to searches on suicide in Korea. Materials and Methods: Google search trends for the search words of suicide, stress, exercise, and drinking were obtained for 2004-2010. Analyzing data by month, the relationship between the actual number of suicides and search words per year was examined using multi-level models. Results: Both suicide rates and Google searches on suicide in Korea increased since 2007. An unconditional slope model indicated stress and suicide-related searches were positively related. A conditional model showed that factors associated with suicide by year directly affected suicide-related searches. The interaction between stress-related searches and the actual number of suicides was significant. Conclusion: A positive relationship between stress- and suicide-related searches further confirmed that stress affects suicide. Taken together and viewed in context of the big data analysis, our results point to the need for a tailored prevention program. Real-time big data can be of use in indicating increases in suicidality when search words such as stress and suicide generate greater numbers of hits on portals and social network sites.
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