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나의현(Euihyeon Na),정조은(Jo-Eun Jeong),김대진(Dai-Jin Kim) 한국중독정신의학회 2015 중독정신의학 Vol.19 No.1
Smoking continues to be as great a hazard to global health as alcohol use. Tobacco (nicotine) and alcohol dependence share a high degree of co-morbidity and interact across many levels of analyses involving potentiated reinforcement. The co-use of these two addictive substances accelerates ‘synergistic adverse effects’, such as the development of various types of cancer and cognitive impairment. Accordingly, critical steps in the process of smoking cessation treatment may require an under-standing of the interaction between alcohol and tobacco dependence. This review discusses how to utilize knowledge of alcohol and tobacco interactions to encourage smoking cessation in alcohol-dependent smokers.
Dieu Hoa Nguyen,Euihyeon Jeong,Jaekwon Chung 한국유통과학회 2018 유통과학연구 Vol.16 No.12
Purpose - Because it is not possible to assess the quality of service products before experiencing them, one feature of a service product is quality uncertainty; hence consumers may react sensitively to pricing. It is necessary to investigate how different pricing strategies affect consumer purchase intention depending on the level of service quality uncertainty. Research design, data, and methodology – The authors have investigated the potential impact of the level of service quality uncertainty, price discount rate and presentation method on consumer purchase intention. A play was selected as an experimental stimulus, and Vietnamese consumers were surveyed to verify the hypotheses. Results - When uncertainty regarding service quality is low, consumer purchase intention is higher when the price discount rate is high or when the price is low. When uncertainty regarding service quality is high, if the normal price, discount rate, and discounted price are presented simultaneously, consumer purchase intention is higher when the price discount rate is low, but when only the discounted price is presented, purchase intention is higher when the price discount rate is high. Conclusions - The results of this study can provide valuable practical implications for pricing for service products with quality uncertainty.
Types of problematic smartphone use based on psychiatric symptoms
Rho, Mi Jung,Park, Jihwan,Na, Euihyeon,Jeong, Jo-Eun,Kim, Jae Kwon,Kim, Dai-Jin,Choi, In Young Elsevier 2019 Psychiatry Research Vol.275 No.-
<P><B>ABSTRACT</B></P> <P>To provide appropriate solutions for problematic smartphone use, we need to first understand its types. This study aimed to identify types of problematic smartphone use based on psychiatric symptoms, using the decision tree method. We recruited 5,372 smartphone users from online surveys conducted between February 3 and February 22, 2016. Based on scores on the Korean Smartphone Addiction Proneness Scale for Adults (S-Scale), 974 smartphone users were assigned to the smartphone-dependent group and 4398 users were assigned to the normal group. The data-mining technique of C5.0 decision tree was applied. We used 15 input variables, including demographic and psychological factors. Four psychiatric variables emerged as the most important predictors: self-control (Sc; 66%), anxiety (Anx; 25%), depression (Dep; 7%), and dysfunctional impulsivities (Imp; 3%). We identified the following five types of problematic smartphone use: (1) non-comorbid, (2) self-control, (3) Sc + Anx, (4) Sc + Anx + Dep, and (5) Sc + Anx + Dep + Imp. We found that 74% of smartphone-dependent users had psychiatric symptoms. The ratio of participants belonging to the non-comorbid and self-control types was 64%. We proposed that these types of problematic smartphone use may be used for the development of an appropriate service for controlling and preventing such behaviors in adults.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Four psychiatric variables were the most important predictors of problematic smartphone user: self-control, anxiety, depression, and dysfunctional impulsivities. </LI> <LI> There are five problematic smartphone use types: (1) non-comorbid, (2) self-control, (3) Sc + Anx, (4) Sc + Anx + Dep, and (5) Sc + Anx + Dep + Imp. </LI> <LI> 74% of smartphone-dependent users have psychiatric symptoms. The ratio of non-comorbid and self-control types was 64%. </LI> </UL> </P>