Purpose: This study was to explore the prevalence of alcohol experiences and to identify the expectancy on the effects of alcohol and alcohol knowledge in early adolescents. Method: The cross-sectional survey of 1854 students from seven middle schools in one district of Seoul was conducted by convenience sampling. Alcohol experience and early onset of alcohol use were measured by the Youth Risk Behavior Survey. Alcohol expectancy was measured by an Alcohol Effects Questionnaire. Result: Over sixty five percent of adolescents reported that they had previous drinking experiences. The participants with no alcohol drinking experience had a lower level of alcohol knowledge than those with experience(t=2.73, p=.007). In expectancy on effects of alcohol, girls had a more positive alcohol expectation than boys(t=-2.54, p=.011). Alcohol knowledge negatively correlated with alcohol expectancy(r=-.40 p=.000). In regression of alcohol expectancy, gender and alcohol knowledge were significant predictors explaining 17%. Conclusion: The results support that alcohol expectancy is an important link with early drinking experiences and alcohol knowledge, focusing on the importance of gender differences. Therefore, an alcohol prevention program in early adolescence is needed and should be focused on multidimensionality of the alcohol expectancy with developmental and psychosocial factors for early adolescents.
To evaluate the impact of avoidable mortality on the changes in life expectancy at birth in Korea. Standard life table techniques and the Arriaga method were used to calculate and to decompose life expectancy changes by age, effects and groups of causes of avoidable mortality among two periods(1990-2000 and 2000-2009). A list of causes of avoidable mortality reached by consensus and previously published in Spain was used. Mortality in young adults produced a reduction in life expectancy at birth during the 1990-2000, but there was an important increase in life expectancy at birth during the 2000-2009; in both cases, this was the result of factors amenable to health policy interventions. The highest improvement in life expectancy at birth was due to non-avoidable causes, but avoidable mortality through health service interventions showed improvements in life expectancy at birth in those elderly people than 1 year and in those younger. Making a distinction between several groups of causes of avoidable mortality and using decomposition by causes, ages and effects allowed us to better explain the impact of avoidable mortality on the life expectancy at birth of the whole population and gave a new dimension to this indicator that could be very useful in public health.
Objectives: We calculated life expectancy and inequalities therein by income for the period of 2016-2018 across the 253 electoral constituencies of the 20th National Assembly election in Korea. Methods: We obtained population and death data between 2016 and 2018 from the National Health Information Database and constructed abridged life tables using standard life table procedures according to gender and income quintiles for the electoral constituencies of the 20th National Assembly election held in 2016. Results: Life expectancy across the 253 constituencies ranged from 80.51 years to 87.05 years, corresponding to a gap of 6.54 years. The life expectancy difference by income across the 253 constituencies ranged from 2.94 years to 10.67 years. In each province, the difference in life expectancy by income across electoral constituencies was generally greater than the inter-constituency differences. Constituencies in capital and metropolitan areas showed a higher life expectancy and a lower life expectancy difference by income than constituencies in rural areas. Conclusions: Pro-rich inequalities in life expectancy by income existed in every electoral constituency in Korea. Both intra-constituency and inter-constituency socioeconomic inequalities in health should be highlighted in future policy-making in the National Assembly.
Purpose: While previous studies mainly focus on one shopping expectancy in the context of e-commerce or m-commerce, this study examines the relationship between consumers' performance and effort expectancy and their shopping intentions in the omnichannel retail environment in which both online and offline shopping channels are utilized concurrently in a single shopping journey. Research design, data and methodology: This study measured consumers' performance expectancy, effort expectancy, attitudes, and intentions toward an omnichannel shopping service. A survey was developed using an online survey platform and distributed to U.S. consumers for a 3-week period and 470 usable responses were obtained. The Confirmatory Factor Analysis and Structural Equation Modeling were performed to test the reliability and validity of the measurement model and research model portraying the hypothesized relationships among constructs. Results: The results confirm that both performance and effort expectancy from shopping affected consumers' attitudes toward omnichannel shopping. The positive attitudes increased their omnichannel shopping intentions. Conclusions: Retailers should promote omnichannel strategies as effective shopping tools to improve consumers' shopping experiences and outcomes. This study suggests that retailers should implement omnichannel strategies that synchronize the retail channels they offer and promote the strategies as effective means to enhance customers' shopping outcomes and experiences.
This study defined acceptance of high-tech new product as user's active using the product such as utilizing application software rather than purchasing it. As exploring factors to effect on customer's acceptance, usefulness expectancy was examined from product side and application side. When investigating the exogenous variables to influence on usefulness expectancy from the product side, customer's product knowledge and social influences are put forward to support the hypothesis. From the application side, customer's knowledge about the application and its trust are put to explain usefulness expectancy of the application. Smart phone users were good subjects for this study and most hypotheses were tested using structural equation model and the results are followings. First usefulness expectancy of the product and of application significantly effect on customer's intention to use high-tech new product and also usefulness expectancy of the product positively effects on which of the application. Second customer's perceived knowledge about the product and social influences impact usefulness expectancy of the product. But third customer's perceived trust toward application didn't any positive impact usefulness expectancy of the application. Through the result, there will be several implications. First, from both of side; product and application, customer's usefulness expectancy should be satisfied to be successful in high-tech products market. Second, customer should be Ieant about advantages of the product and knowledge about the application as well, and then trigger their usefulness expectancy.
Kim, Young-Eun;Jung, Yoon-Sun;Ock, Minsu;Yoon, Seok-Jun
Journal of Preventive Medicine and Public Health
/
제55권1호
/
pp.1-9
/
2022
An index that evaluates the health level of a population group considering both death and loss of function due to disease is called a summary measure of population health (SMPH). SMPHs are broadly divided into life year indices and life expectancy indices, the latter of which comprise healthy life expectancy (HLE). HLE is included as a policy target in various national and regional level healthcare plans, and the term "HLE" is commonly used in academia and by the public. However, the overall level of understanding of HLE-such as the precise definition of HLE and methods of calculating HLE-still seems to be low. As discussed in this study, the types of HLE are classified into disability-free life expectancy, disease-free life expectancy, quality-adjusted life expectancy, self-rated HLE, and disability-adjusted life expectancy. Their characteristics are examined to facilitate a correct understanding and appropriate utilization of HLE. In addition, the Sullivan method, as a representative method for calculating HLE, is presented in detail, and major issues in the process of calculating HLE, such as selection of the population group and age group, estimation of death probability, calculation of life years, and incorporation of health weights, are reviewed. This study will help researchers to select an appropriate HLE type and evaluate the validity of HLE research results, and it is expected to contribute to the vitalization of HLE research.
In this paper, the change history of various types of MV (Medium Voltage) cables was investigated. In addition, the statistical life expectancy of each type was calculated by using the operation data and the failure data. For cut-off year, 10 years was applied, and realistically applicable statistical life expectancy was calculated by correcting the cause of failure entered by mistake. The life expectancy of FR-CNCO-W was calculated as 51.2 years, CNCV-W 38.1 years, and CNCV 31.4 years and the overall average is 33.8 years. Currently, the life expectancy of TR CNCV-W is 29.4 years, but it is estimated that the lifespan will be extended if failure data is accumulated. As a result, it is expected that life expectancy results can be applied to Asset Management System (AMS) in the future.
Researchers' common findings is that there are positive or negative effect of alcohol expectancy on drinking behavior. Therefore we would effectively prevent troublesome drinking of the youth and university students by inquiring and controlling critical factors affecting alcohol expectancy. The purposes of this thesis are, first, to empirically test factors affecting the alcohol expectancy level of elementary schoolchild(potential drinker).; second, to suggest the necessity for development of pre-alcohol prevention programs. On the basis of previous research, eighteen factors included in four categories(general characters, environmental characters, alcohol knowledge, drinking experience) affecting alcohol expectancy level were found out. 623 subjects used in this study were drawn from 8 elementary schools in Daegu, Korea. The empirical results suggested that the alcohol expectancy level of elementary schoolchildren was negative in general. And it was proved that 9 factors were significantly correlated with alcohol expectancy level. To put it concretely(see Fig.), (1) It was proved that schoolchildren with bad environment(live in oneself, displeased drinking feeling) rather than good environment(live with parents, nice drinking feeling) for drinking had more negative alcohol expectancy. (2) Korean traditional culture that partakes of sacrificial food and drink have an influence on the first drinking of most elementary schoolchildren. And it was proved that schoolchildren with this drinking experience rather than any other motives had less negative alcohol expectancy. (3) It was proved that schoolchildren adapting themselves rather than being difficult in school life had more negative alcohol expectancy. And the more knowledge about alcohol or drinking schoolchildren had, the more they had negative alcohol expectancy (4) It was proved that schoolchildren having drinking experience or drinking at present rather than having no drinking experience or not-drinking at present had less negative alcohol expectancy. (5) It was proved that schoolchildren having strong drinking intention rather than having weak or no drinking intention in the future had more positive alcohol expectancy. Based on previous results, guideline for development of pre-alcohol prevention programs can be represented: discriminated programs development on educatee, drinking education programs development increasing the power of self-control about alcohol and drinking, social education or continuing education programs development on drinking, open preschool education to substantially prevent drinking or alcoholism etc. The findings, however, should be interpreted with caution, because this study has several limitations in measurement and sampling as follows. First, selection bias because of limited selection of sampling. It is because the subjects are drawn from only 8 elementary schools in Daegu. Second, less refined measurement ; Therefore, it is necessary to develop more detailed measures on alcohol knowledge, alcohol expectancy level especially. Further researches should be suggested and encouraged with more refined methodologies.
Summary measures of population health or SMPH is an index which can describe morbidity as well as mortality. Summary measures of population health can be divided into health-adjusted life years which is a life expectancy measure and disability-adjusted life years which represents the gap between the ideal health status and the current health status. This study aims at estimating health-adjusted life expectancy(HALE) which is a measure of health-adjusted life years, by calculating life expectancy adjusted by health status using EQ-5D. The mortality data was obtained from the life table of 2005 which was published by the National Statistical Office and the health status by sex and age was obtained from the EQ-5D scores using the third National Health and Nutrition and Examination Survey in 2005. With these mortality and morbidity data, health-adjusted life expectancy was calculated using Sullivan's method. The study results showed that the health-adjusted life expectancy of males and females was 67.49 and 69.61, respectively, while the life expectancy of males and females was 75.14 and 81.89. In other words, Korean males and females lose 7.65 and 12.28, respectively, from the decrease of quality of life due to diseases and/or injuries. These results can further be interpreted that males lose 10.2% of their life expectancy and females 15.0%. This study suggests that it may be possible to monitor population's health-adjusted life expectancy by continuing to include health-related quality of life measures such as EQ-5D in national health surveys like the National Health and Nutrition and Examination Survey.
This study investigates the effect of consumers' trust in communication with online fashion mall avatars on performance expectancy and re-use intention. For the empirical study, 207 adults were surveyed using a 5-point Likert scale, and the results were analyzed with SPSS 21.0. The analysis reveals the following results. First, the factor analysis of trust in communication with the avatar, performance expectancy, and re-use intention revealed cognitive and affective trust as subfactors of the trust in communication with the avatar, while purchase choice expectations and performance expectancy were identified as subfactors of performance expectancy for the avatar. A total of five factors, including re-use intention, were recognized. Second, the trust in communication with online fashion mall avatars significantly positively affected performance expectancy for the avatar. Among the subfactors, cognitive trust was determined to have a greater influence on purchase choice expectations than affective trust. Third, the performance expectancy for the online fashion mall avatar significantly positively affected re-use intention. Notably, the subfactor performance expectancy had a greater influence than purchase choice expectations. Finally, trust in communication with online fashion mall avatars significantly positively affected re-use intention. Accordingly, the sub-factor cognitive trust had a greater influence on re-use intention than affective trust. The results of this study are academically significant in that they empirically test the influence relationship between trust in communication, performance expectancy, and re-use intention, considering the personal characteristics of online fashion mall avatars on consumers using the Meta-UTAUT model in the fashion field.
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