• The Journal of Korean Society for School & Community Health Education
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• v.3
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• pp.15-33
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• 2002

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.

• Journal of Preventive Medicine and Public Health
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• v.55 no.1
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• pp.1-9
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• 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.

• Journal of East-West Nursing Research
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• v.15 no.2
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• pp.141-149
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• 2009

Purpose: This study investigates the level of expectancy, cognition, and work condition among smokers with respect to the smoking cessation clinics. Methods: The study participants included over 503 smokers aged 30 yr and in five districts of G city. The researcher and assistants personally visited homes and workplaces of the participants between November 20 and November 30, 2008 for the survey. Results: The subjects learned to smoke from their friends and started smoking when they were 15 out of curiosity. They smoked more than one cigarette every day. With respect to cognition, 67.5% of the subjects had no intention to utilize smoking cessation clinics, and 71.7% were unaware of their benefits. Those with a high level of cognition regarding smoking cessation clinics were generally in their 60s, married, residents in the Southern and Western Districts, service or technical workers, and hikers. The expectancy for the clinic was high among those who were married, Catholics, and golfers. Conclusions: The results suggest that smoking cessation may be achieved by increasing the level of cognition and expectancy among smokers. In this regard, providing information and implementing positive publicity campaigns targeting families, Places of worship, and workplaces may be beneficial.

• Korean Journal of Organic Agriculture
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• v.28 no.3
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• pp.315-334
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• 2020

This study was conducted to analyze factors affecting acceptance of smart farm technology. Smart farm technology is rapidly being introduced to agriculture in accordance with the progress of the 4th Industrial Revolution, but research on this is still little. Therefore, in this study, based on the unified theory of acceptance and use of technology (UTAUT), a research model reflecting the characteristics of smart farm technology was constructed. To test this, empirical analysis was performed. A survey was conducted for students in smart farm technology education and adult male and female farmers who are currently planning to operate smart farms. Valid 204 sample were used for analysis. The hypothesis test was based on multiple regression analysis using SPSS 24 statistical package. For the mediating effect and moderating effect, Process Macro 3.4 based on the regression equation was used. The results of testing the hypothesis are as follows. First, in the causal hypothesis test, it was shown that performance expectancy, social influence and price value have a significant positive effect on the intention to use smart farm technology. On the other hand, effort expectancy, facilitating conditions were not tested for a significant influence on the use of smart farm technology. As a result of analyzing the mediating effect of trust, it was found that trust plays a mediating role between performance expectancy, effort expectancy, social influence, facilitating conditions, price value and intention to use smart farm technology. In particular, the effort expectancy has not been tested for a direct significant effect on intention to use smart farm technology, but it has been shown to have an impact through trust. Trust was found to be a full mediating between the effort expectancy and the intention to use the smart farm technology. The current IT level of prospective users has been shown to play a moderating role between performance expectancy, facilitating conditions and intention to use smart farm technology. In particular, the IT level was found to strengthen the relationship between performance expectancy and intention to use smart farm technology. Based on the results of these studies, academic and practical implications were suggested.

• Journal of Korean Academy of Nursing
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• v.37 no.1
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• pp.35-43
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• 2007

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.

• Korea journal of population studies
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• v.19 no.1
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• pp.123-137
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• 1996

The goal of this study was to measure the level of health quantitatively by combining mortality and morbidity level of the Korean people. The 1989 Life Table was used for the mortality data. For the morbidity data, the 15-day morbidity survey (10, 940) the hospitalized patient survey (1, 770), chronic morbidity survey (7, 241) of the 1989 National Health Sunvey conducted by Korean Institute of Health and Social Affairs were utilized. The life table analysis technique of Sullivan was adopted. The morbidity period and disability period required for this method were estimated by measuring disability period rate and disability rate. The disability free life expectancy was estimated by excluding disability life expectancy from life expectancy. In case of males, the disability-free life expectancy at birth was 60.48 years. In case of females, the disability-free life expectancy at birth was 63.80 years. The percent of disability-free life expectancy to life expectancy was 90.63% at birth in case of males and 85.20% in case of females. The portion of females was lower than that of males in all age brackets. Therefore, the percent of time spent without disability condition to life expectancy was higher for females than males. Estimating disability-free life expectancy by region, it was 61.52 years at birth in urban area and 59.34 years in rural area in case of males. In case of females, it was estimated to be 64.60 years in urban area and 63.08 years in rural area. The life expectancy of Koreans was 66.73 years for males and 74.88 years for females, 8.15 years higher than males while disability-free life expectancy was 60.48 years for males, 63.80 years for females, only 3.32 years higher than males.

• Journal of the Korean Home Economics Association
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• v.51 no.2
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• pp.173-186
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• 2013

This study aims to investigate how adolescents' expectation of their future according to their self-esteem and perceived social support from parents, teachers, and peers. The study surveyed 611 adolescents, who live in Jeju. The data was analyzed by t-test, ANOVA, and step-wise Regression analysis. The main results of the study were as follows. First, the adolescents generally had a positive perception of their future. Second, there were significant differences in their perceptions of expectancy for the future according to school grade, leadership experience in school, experience with voluntary activities, educational background of the father, educational background of the mother, level of living, self-esteem, parent support, teacher support, and peer support. The parents with a higher educational background tended to have a professional career, have high expectation for their children, serve as role models for their children, and have a high level of positive perceptions of the future. Finally, the variables which affect the adolescents' expectancy for future were examined hierarchically by a step-wise regression analysis. As a result, in general, level of living, self-esteem, and social support were the most important variables, and self-esteem and parent support have the greatest impact on their perceptions of expectancy for the future.

• The Korean Journal of Applied Statistics
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• v.27 no.2
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• pp.211-226
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• 2014

This paper discusses life expectancy differentials of beneficiaries of national pension old-age benefit and benefit-cost analysis in Korea. These results are useful indicators for the assessment of retirement income security of beneficiaries and old-age benefits. This paper analyzes benefit-cost ratio, internal rate of return and generation transfer amount, using life tables by lifetime incomes. The result of the actuarial analysis for male life expectancy is approximately 21.69 to 24.63 years. The result of the actuarial analysis for female life expectancy is approximately 27.63 to 29.81 years. The result of the actuarial analysis of low income level is that the benefit-cost ratio is lower approximately 2.68 to 4.83%, the internal rate of return lower approximately 0.00 to 0.74%, the generation transfer amount lower approximately 3.00 to 5.74%, than total income level. The result of the actuarial analysis of high income level is that the benefit-cost ratio is higher approximately 2.07 to 4.98%, the internal rate of return higher approximately 0.03 to 1.73%, the generation transfer amount higher approximately 2.53 to 9.68%, than the total income level. The results by income varies due to the effect of income redistribution and life expectancy on the national pension.

• The Korean Journal of Applied Statistics
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• v.24 no.1
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• pp.115-125
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• 2011

By use of a mortality forecasting model and a life table, forecasting the average life expectancy is an effective way to evaluate the future mortality level. There are differences between the actual values of average life expectancy at present and the forecasted values of average life expectancy in population projection 2006 from Statistics Korea. The reason is that the average life expectancy forecasts did not reflect the increasing speed of the actual ones. The main causes of the problem may be errors from judgment for projection, from choice, or use of a mortality forecasting model. In this paper, we focus on the choice of the mortality forecasting model to inspect this problem. Statistics Korea should take a mortality forecasting model with considerable investigation to proceed population projection 2011 without the errors observed in population projection 2006. We compare the five mortality forecasting models that are the LC(Lee and Carter) model used widely and its variants, and the HP8(Heligman and Pollard 8 parameter) model for handling death probability. We make average life expectancy forecasts by sex using modeling results from 2010 to 2030 and compare with that of the population projection 2006 during the same period. The average life expectancy from all five models are forecasted higher than that of the population projection 2006. Therefore, we show that the new average life expectancy forecasts are relatively suitable to the future mortality level.

• Korea journal of population studies
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• v.32 no.1
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• pp.93-111
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• 2009

This study aims to find out changes of marital status and average marital life expectancy in Korea according to educational attainment. The study produces Korean marriage life table to accomplish the goal of study by introducing Wolfbein-Wool style working life table. Specific data utilized in this study are collected from the Population & Housing Census 2005 and Death Census 2005. Educational attainment is divided into four categories to accommodate to this study: elementary school course and lower, middle school course, high school course, college course and higher. Marriage rate, divorce rate, widowhood rate and death rate according to educational attainment are used as basicdata to analyze marital life expectancy. The results of this study are as follows: 1. As subjects age is younger, the average marital life expectancy of the highly educated tends to be higher. The disparity of average marital life expectancy according to educational attainment is apt to become narrow as subjects age is older. However, the gap between people who graduated from middle school and high school in older age group does not distinctive. 2. Males marital life expectancy is higher than females controlling for their educational attainment. 3. Males live with their wife for most of their lives but females live alone more than 10 years in every single educational categories. Based on the above, this study concludes that the average marital life expectancy is differentiated among age and sex according to educational attainment. Marital rate tends to be higher as educational level is higher. Divorce rate is lower in the highlyeducated group as their age is younger but this is apt to reverse as age is older. Furthermore, bereavement rate shows division according to educational attainmentsince one tends to marry other who has similar level of education with him or her. Therefore, educational attainment acts as an significant factor in Korean average life expectancy.