• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.7
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• pp.1103-1110
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• 2013

This study was investigated the subjects' satisfaction in the therapy among the internet age. The subjects of the study were 200 women who have menses in ages from 18 to 55 among visitors of five public health centers and attendants of A church in Gwangju. The period of the study ranged from September 6 to October 10, 2010. As a study instrument, this study used a questionnaire developed based on questions from studies published by An Seung-duk(2003). This study used SPSS 17.0, for a frequency analysis, a cross-tabulation and a chi-squared test. During the analysis, 43.4% of the subjects used the complementary alternative therapy. 56.3% visited used oriental medical clinics or herbal medicine shops as places to use the therapy, 42.5% received medicine, acupuncture, moxibustion and cupping at oriental medical clinics. As expenses of the therapy, 56.3% spent less than 500,000 won a year. After the therapy, 51% answered they were satisfied with the therapy. In conclusion, it was discovered that use rate of the therapy is increasing, the subjects decided to use the therapy for themselves or through recommendation from acquaintances, and they mainly depended on reliable oriental medical clinics or folk remedies against menstrual pain, and insurance benefits for the therapy should be considered except oriental medical hospitals or clinics.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.5
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• pp.252-266
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• 2019

The purpose of this study was to identify the type of health behaviors in Korean adults and to identify related factors. The data used in the analysis was the Korea Health and Nutrition Examination Survey 2014., which was representative of the Korean population. Cluster analysis was used to find the pattern of clustering of smoking, drinking, exercising and nutrition. Differences in the pattern of clustering was examined, first by bivariate chi-square test, and then by multinomial logit regression. Lastly, the association between the clusters of health behaviors and other behavioral risk factors was tested by chi-square test and logistic regression. The distribution of the clusters varied not only across socioeconomic characteristics and local size, but also between individuals with certain chronic diseases and those without. The results of this study can be used as a basis for the usefulness of approaching the cluster rather than individually approaching the health behavior.

• Journal of Korean Society of Transportation
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• v.34 no.5
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• pp.437-448
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• 2016

Some previous researches suggested a transit trip destination inference method by constructing trip chains with incomplete(missing destination) smart card dataset obtained on the entry fare control systems. To explore the feasibility of the transit trip destination inference method, the transit trip chains are constructed from the pre-paid smart card tagging data collected in Busan on October 2014 weekdays by tracing the card IDs, tagging times(boarding, alighting, transfer), and the trip linking distances between two consecutive transit trips in a daily sequences. Assuming that most trips in the transit trip chains are linked successively, the individual transit trip destination zones are inferred as the consecutive linking trip's origin zones. Applying the model to the complete trips with observed OD reveals that about 82% of the inferred trip destinations are the same as those of the observed trip destinations and the inference error defined as the difference in distance between the inferred and observed alighting stops is minimized when the trip linking distance is less than or equal to 0.5km. When applying the model to the incomplete trips with missing destinations, the overall destination missing rate decreases from 71.40% to 21.74% and approximately 77% of the destination missing trips are the single transit trips for which the destinations can not be inferable. In addition, the model remarkably reduces the destination missing rate of the multiple incomplete transit trips from 69.56% to 6.27%. Spearman's rank correlation and Chi-squared goodness-of-fit tests showed that the ranks for transit trips of each zone are not significantly affected by the inferred trips, but the transit trip distributions only using small complete trips are significantly different from those using complete and inferred trips. Therefore, it is concluded that the model should be applicable to derive a realistic transit trip patterns in cities with the incomplete smart card data.