• Korea Trade Review
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• v.46 no.1
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• pp.83-111
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• 2021

This paper conducts a Structural Dcomposition Analysis on the structure of factors contributing to the output growth of Korean Maritime and Port Industry during year 2000~ year 2017. Some of results are as follows. The output growth rates of the industry (yearly average 4.3%) was far lower than the average growth rates of Service as well as of Manufacturing Industries (yearly average 9% and 6.8%, respectively) due to the lower output growth of Maritime Industry. Among the growth contributing factors, change in domestic demand for final goods is the first contributing factor, and then change in technology, change in export and import substitution for intermediate goods are followed in order, but import substitution for final goods decreased its output. However, in each respective sub-periods of pre-global financial crisis and post-global financial crisis, change in the export, especially change in the export of Maritime Industry is the dominant determinant of output change in the Maritime and Port Industry in opposite ways. In the periods of the former the increase in the export of Maritime Industry overwhelmingly led the output growth of the Maritime and Port industry, but in the periods of the latter the decrease in its export was the culprit of lower output growth of the industry. On the other hand, among all industries of service and manufacturing sectors, Wholesale and Retail industry is the leading industry in contributing to the output growth of the Maritime and Port Industry, and Transportation Equipment industry is the leading industry among all manufacturing industries.

• Korean Journal of Community Nutrition
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• v.28 no.5
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• pp.363-375
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• 2023

Objectives: The objective of this study was to identify factors associated with adolescent obesity, as well as any new factors that correlated with a change in the rate of obesity over time. Methods: The study used 5-yearly data collected by the Korea Youth Risk Behavior Survey starting from the year 2006 up until 2021 (data from 2nd, 7th, 11th, and 17th surveys were analyzed). Factors such as demographics, dietary factors, health behavioral factors, and mental health factors were studied. All data were analyzed using IBM SPSS 27.0, employing chi-square tests and multiple logistic regression analysis. Results: This study included data from a total of 255,200 participants. Factors contributing to obesity varied with time. Over the survey duration of 15 years, low academic achievement, parents with low levels of education, low frequency of fruit consumption, low frequency of fast food intake, long periods of being seated, and high levels of stress were significantly associated with a high rate of obesity. Factors that showed a new correlation with an increase in obesity rates included living with single parents, low frequency of muscle strengthening exercises, and experiencing intense sadness and despair in the past year. Factors that were correlated with a change in obesity rates over time included household economic status, frequency of carbonated beverage consumption, frequency of intense physical activity, and frequency of alcohol consumption. Breakfast intake and smoking were not significantly associated with obesity rates in the 15-year period. Conclusions: While several factors associated with obesity remained consistent over time, several new factors have emerged in response to social, economic, and environmental changes contributed to a change in obesity rate over time. Therefore, to prevent and manage adolescent obesity, continuous research into the new emergent factors contributing to obesity is needed.

• Journal of Families and Better Life
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• v.14 no.4
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• pp.233-248
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• 1996

The purpose of this study were 1) to identify housing consumption over family life cyle and 2) to analyze the propensity of residential mobility and its contributing factors over family life cycle. For these purposes the 1993 KHPS data was used. The sample in this study consisted of 2,796 couple households. Satistics employed for the analysis were frequencies means and logistic regression analysis. As the number of children and the children's age increased the housing consumption increased. There were many factors such as husband's education satisfaction of health and family relations monthly income wealth debt owning a car home ownership duration of residence and the satisfaction with housing contributing to housing consumption and propensity to move. Those with home ownership higher wealth higher satisfaction with health higher expenditure, longer duration of residence and higher satisfaction with housing tend to move more frequently. However those with low educational attai ment less satisfaction with family relation less income and having no debts were likely to move.

• 모자간호학회지
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• v.3 no.2
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• pp.114-125
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• 1993

In an attempt to investigate the psycho-social environment of, and to identify contributing factors to asthma, an explorative study was designed. An in-depth interviews of thirteen mothers nth asthmatic children on their child-rearing experiences were carried out from May through October, 1992. Data were gathered and analysed concurrently. The child-rearing experiences were classified into five categories; perceiving the attributes of, perceiving the health status of, affective interactions with, socialization of, and health management of asthmatic children. Thus, a comprehensive approach for the care of asthmatic children, and studies of family on multi-dimensional contributing factors on asthma are strongly recommended.

• Journal of the Korean Home Economics Association
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• v.37 no.2
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• pp.85-98
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• 1999

The purpose of this study is to identify the preferences for care type among the elderly and to analyze contributing variables. The sample in this study are 485 elder people who are age 55 and over. The independent variables are divided into five factors according to their characteristics, and the dependent variables fall into two categories of private and public care types. The descriptive statistics and Logistic Regression method are employed for the analysis. The results can be summarized as follows. The elderly prefer individual care paid for by their own support to the other types like the care by children or institution. However, the elderly stiff like and expect family care by their children. The variables that haute affected the preferences of the care types among the elderly are whether they are employed or not, household's the amount of debt, whether they currently live with the oldest child, their level of self esteem and their degree of satisfaction in life. The results show that the elderly don't have various wants or alternatives to their care and regard public care as negative support for the financially incapable or the elderly who have no relatives.

• Journal of Korean Orthopaedic Sports Medicine
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• v.3 no.1
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• pp.31-35
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• 2004

The incidence of in-line skating injuries has increased with the rapid growth in the sport's popularity. The purpose of this article is to describing the type of the inline skating and document basic skills, protective equipment use, identify contributing or precipitating factors associated with injuries. Loss of control and inexperience were factors contributing to the injuries. Also protective equipment among skaters was underused. In conclusion, the safety education program for inline skating, optimal design and efficacy of protective equipment should identify with further study.

• Journal of the Korean Home Economics Association
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• v.35 no.5
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• pp.1.1-15
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• 1997

The purposes of this study were to identify the household's financial status by life cycle stage and no analyze contributing factors to financial planning for retirement preparation among Korean marred couples. For these purpose, 2074 married couples those being under 55 and having either single earner or dual earners were selected, and total sample was divided into three stages; young-aged(＜35), middle-aged(35-44) & old-aged(45-54). Statistics were frequencies, means, percentile, and logistic analysis. The results were as follows. First, old-aged had higher level of total income, total expenditure and total assets than either young-aged or middle-aged. In addition, households those holding private pensions were likely to have higher total income, total expenditure and total assets than those owning no private pension. while middle-aged had a highest total debts. Second, gini coefficients of total income and total expenditure between three aged groups were similar, but old-aged had the highest gini coefficient of total assets and total debts. In particular, gini coefficients of total assets and total debts of households those having no private pension were greater than those holding private pensions. third, contributing factors to private pension ownership of young-aged were family & household-related factor and financial factor, middle-aged's factors were household head's characteristics and financial factor. Also, old-aged's factors were household head's characteristics, family & household-related factor and financial factor.

• Journal of Sasang Constitutional Medicine
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• v.30 no.3
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• pp.40-47
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• 2018

Objectives The purpose of this study is to analyze the factors contributing to the classification of Sasang Constitution using Sasang Constitutional Analysis Tool 2. Methods A total of 99 subjects were assessed for the classification of Sasang Constitution using four measurement factors (face, voice, body shape, and questionnaire information) of Sasang Constitutional Analysis Tool 2. Results Taeeumin had significantly higher body weight and BMI. In the result of the agreement between the judgment of the four measurement factors and the final judgment of Sasang Constitution, the agreement degree of Soeumin was the highest value of 2.6. Taeeumin, Soeumin, and Soyangin showed the highest agreement with the individual judgment of face, body shape and questionnaire, and body shape, respectively. Conclusions It is difficult to conclude that any individual factor contributes significantly to the classification of Sasang Constitution. Further study on Sasang Constitutional Analysis Tool 2 involving more peoples is needed in order to determine the factors contributing to the classification of Sasang Constitution.

• Journal of Preventive Medicine and Public Health
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• v.24 no.2 s.34
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• pp.195-210
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• 1991

Fatty liver is caused by derangement of fat metabolism and can be reversed by removal of contributing factors. The contributing factors of fatty liver is known to be overweight, chronic alcoholism, diabetes mellitus, malnutrition, and drug abuse such as tetracycline. This study was carried out on 1335 persons who visited 'Soon Chun Hyang Human Dock Center' from March to June 1990. In analysis of the data, prevalence of fatty liver diagnosed by ultrasonogram by age and sex, laboratory finding between fatty liver group and normal group, and odds ratio of known contributing factors, were compared. The results obtained are as following ; 1) The prevalence rate of fatty liver diagnosed by ultrasonogram is 29.6% in male and 11.5% in female. 2) Age groups with high prevalences are $40{\sim}50's$ in male (32.0%) and 50's in female (24.5%). 3) The fatty liver shows significant association with style (p<0.05), whereas not with hepatitis B-virus surface antigen (p>0.05). 4) All laboratory values except alkaline phosphatase and bilirubin are elevated significantly in accordance with the degree of fatty liver (p<0.01). 5) Fatty liver diagnosed by ultrasonogram showed so strong associations with body index, triglycerides and gamma-glutamyl transferase for males, and body index and fasting blood sugar for females that these factors may be used as supplementary data in establishing diagnosis of fatty liver. 6) Odds ratio of contributing factors are as follows ; If the odds ratio of below 29 year of age is 1.0 then that of $30{\sim}39$ is 1.74 (p=0.33), $40{\sim}49$ is 2.47 (p=0.10), $50{\sim}59$ is 2.86 (p=0.0570), over 60 is 1.81 (p=0.34). If the odds ratio of female is 1.0 then that of male is 5.67 (p<0.01). If the odds ratio of body index below zero is 1.0 then that of $0{\sim}9$ is 5.08 (p<0.01), $10{\sim}19$ is 12.37 (p<0.01), $20{\sim}29$ is 29.19 (p<0.01), 30 above is 154.02 (p<0.01). If the odds ratio of below 99 mg/dl FBS is 1.0 then that of $100{\sim}120$ is 106 (p=0.76), over 120 is 1.91 (p=0.02). If the odds ratio of below $29{\mu}/1{\gamma}-GT$ is 1.0 then that of $30{\sim}s59$ is 2.11 (p<0.01), $60{\sim}90$ is 1.87 (p<0.05), 90 above is 1.69 (p=0.15). If the odds ratio of below 149 mg/dl TG is 1.0 then $150{\sim}199$ is 1.49 (p=0.05), $200{\sim}250$ is 1.09 (P=0.77), 250 above is 2.53 (p<0.01). In summary, early diagnosis of fatty liver could be made by ultrasonogram supplemented with body index and nm triglyceride. The fatty liver could be preventive by avoiding contributing factors such as obesity, alcohol intake, high blood sugar appropriately.

• Proceedings of the KOR-KST Conference
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• 2007.02a
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• pp.358-367
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• 2007