• The Journal of the Korea Contents Association
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• v.18 no.6
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• pp.314-323
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• 2018

The main purposes of this study are to explore the factors related to the elderly's sexual life continuance and satisfaction in Daegu area. The data were collected from May 1st, 2017 to July 31st in 2018 by face-to-face interviews. 259 cases were used for the final statistical analysis, such as logistic regression analysis and multiple regression analysis. 29% of the respondents continued their sexual life and approximately 55% of them were satisfaction in their sexual life. According to the logistic regression analysis, independent variables such as, age, having wife, and living with wife only have statistically significant relationships with the male elderly's sexual continuance. Frequency of sexual intercourse, number of disease, and the experience of venereal disease have statistically significant relationships with the elderly's sexual life satisfaction.

• Journal of the Korean Home Economics Association
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• v.39 no.1
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• pp.191-204
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• 2001

The purposes of this study are to find the general trends of patriarchal characteristics at workplace and to investigate the differences according to related variables. The concept of patriarchal characteristics at workplace is defined in terms of three aspects of work, human relation, and sexual harassment. The data were obtained through 880 employed women living in Chonbuk-Province. The major findings were as follows : 1) As to the aspects of work and human relation, it was found that employed women very highly experienced the inequality such as sexual division of labor, sex-discrimination, sexual segregation, and women degradation. 2) Over the 90% of respondents reported that they had experienced the victimization of sexual harassment at workplace at least once. 3) The work-related variables(the type of occupation, the size of workplace, the length of employed women's continuance service, the ratio of employed women at workplace) in the degree of patriarchal characteristics were more important then demographic variables(age, education, marriage status)