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Determinants Influencing Housing-Option Decision of Gen Y: The Case of Vietnam
Ha Thu LUONG(Ha Thu LUONG ),Dung Manh TRAN(Dung Manh TRAN ),Dan Linh Ngoc NGUYEN(Dan Linh Ngoc NGUYEN ),Van Bao NGUYEN(Van Bao NGUYEN ),Anh Thuc LE(Anh Thuc LE ),Hieu Van PHAM(Hieu Van PHAM ) 한국유통과학회 2023 유통과학연구 Vol.21 No.7
Kim, Bao Giang,Le, Hong Chung,Hoang, Van Minh,Vu, Duy Kien,Vu, Van Giap,Nguyen, Duc Hinh,Nguyen, Manh Cuong,Pham, Duc Manh,Ha, Anh Duc,Yang, Jui-Chen Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.no.sup1
Graphic health warnings (GHW) on tobacco packages have proven to be effective in increasing quit attempts among smokers and reducing initial smoking among adolescents. This research aimed to examine the relative importance of different attributes of graphic health warnings on tobacco packages in Viet Nam. A discrete choice experimental (DCE) design was applied with a conditional logit model. In addition, a ranking method was used to list from the least to the most dreadful GHW labels. With the results from DCE model, graphic type was shown to be the most important attribute, followed by cost and coverage area of GHW. The least important attribute was position of the GHW. Among 5 graphic types (internal lung cancer image, external damaged teeth, abstract image, human suffering image and text), the image of lung cancer was found to have the strongest influence on both smokers and non-smokers. With ranking method, the image of throat cancer and heart diseases were considered the most dreadful images. GHWs should be designed with these attributes in mind, to maximise influence on purchase among both smokers and non-smokers.
Hoang, Van Minh,Le, Hong Chung,Kim, Bao Giang,Duong, Minh Duc,Nguyen, Duc Hinh,Vu, Quynh Mai,Nguyen, Manh Cuong,Pham, Duc Manh,Ha, Anh Duc,Yang, Jui-Chen Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.no.sup1
Two years after implementation of the graphic health warning intervention in Vietnam, it is very important to evaluate the intervention's potential impact. The objective of this paper was to predict effects of graphic health warnings on cigarette packages, particularly in reducing cigarette demand and smoking-associated deaths in Vietnam. In this study, a discrete choice experiment (DCE) method was used to evaluate the potential impact of graphic tobacco health warnings on smoking demand. To predict the impact of GHWs on reducing premature deaths associated with smoking, we constructed different static models. We adapted the method developed by University of Toronto, Canada and found that GHWs had statistically significant impact on reducing cigarette demand (up to 10.1% through images of lung damage), resulting in an overall decrease of smoking prevalence in Vietnam. We also found that between 428,417- 646,098 premature deaths would be prevented as a result of the GHW intervention. The potential impact of the GHW labels on reducing premature smoking-associated deaths in Vietnam were shown to be stronger among lower socio-economic groups.
Trends in prediabetes and diabetes prevalence and associated risk factors in Vietnamese adults
That Thanh Ton,Anh Thi Ngoc Tran,Ich Thanh Do,Hoa Nguyen,Thi Thanh Binh Nguyen,Minh Tu Nguyen,Van Anh Bao Ha,Anh Quoc Tran,Huu Khoi Hoang,Binh Thang Tran 한국역학회 2020 Epidemiology and Health Vol.42 No.-
OBJECTIVES: The prevalence of diabetes mellitus is rapidly increasing in Vietnam, particularly among adults aged over 45 years. This study estimated trends in diabetes and prediabetes prevalence and determined risk factors in Vietnamese adults (over 45 years). METHODS: A cross-sectional study was conducted based on data from an annual diabetes screening program among people aged 45-69 years in an urban city in central Vietnam (Da Nang). Joinpoint regression analyses were performed to calculate the annual percentage change and ptrend-values. Multinomial logistic regression analysis was used to determine risk factors. RESULTS: In total, 3,765 men and 9,149 women were included in this analysis. The age-adjusted prevalence of diabetes and prediabetes in 2017 was 11.4% and 52.9%, respectively. The prevalence of diabetes was higher in men (15.1%) than in women (10.3%), but that of prediabetes was similar in both genders (53.4% vs. 52.8%). The prevalence of prediabetes significantly increased during the study period, whereas no upward or downward trend for diabetes was observed. The prevalence of obesity, abdominal obesity, hypertension, and dyslipidemia showed no obvious trend. Obesity, a high waist-to-hip ratio, hypertension, more severe abdominal obesity, and dyslipidemia were significantly associated with a higher risk of diabetes and prediabetes. CONCLUSIONS: Diabetes and prediabetes were more prevalent among people aged over 45 years than in the general population. Da Nang has experienced a marked increase in the prevalence of prediabetes. These findings have significant implications regarding the need for nationwide public health interventions and management aiming at diabetes prevention and control.
Truong Xuan NGUYEN,Khai Quang LUU,Thien Thuan Hoang NGUYEN,An Van HA,Han Bao Huynh NGUYEN,Anh Nhu Thi BUI 한국유통과학회 2018 KODISA ICBE (International Conference on Business Vol.2018 No.-
This study to explore and examines the factors affecting 4.0 industrial adoption in enterprises in Ho Chi Minh City. The research model based on the two main research theories is the Technology Adaptation Model (Davis, 1989) and the Theory of Planned Behavior (Ajzen, 1991), and previous literature on technology 4.0 to build conceptual models which appropriate to the research content. Both qualitative and quantitative research methods are applied in the study. Qualitative research is conducted first in the form of in-depth interviews to adjust the conceptual model. Quantitative research was then used to verify the conceptual model. Samples taken by the non-probability method and convenience sampling technical through the official questionnaire for 380 small and medium enterprises have been applying elements of industry 4.0. The results show that in addition to the effect of Intent to Use on Use decision, in the group of independent variables affecting Perceived Usefulness of the business, turning Perceived Saving Cost has the strongest impact, and in the group of independent variables which influence Intent to Use, the Business Resource variable has the strongest impact.