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수상레저스포츠 참여자의 감각추구성향과 몰입경험 및 운동정서의 관계
함도웅(Do Woong Ham) 한국사회체육학회 2012 한국사회체육학회지 Vol.0 No.47
This study are designed to determine the influence of sensation seeking propensity of water leisure sports participants on flow experience and sport emotion. Data is collected by a survey way from hobbyists and general participants, who make use of water leisure sports facilities in Seoul mega-city, Gyunggi and Gangwon provinces, however 342 of the surveyed are put into final analysis work. Surveyed data conducted frequency, exploratory factor, reliability, correlation, and multiple regression analyses by SPSSWIN 18.0 package tool and followed by results: First, there are significant correlation between sensation seeking propensity, flow experience, and sport emotion. Second, novelty of sub-factors of sensation seeking propensity influenced significantly on all subfactors( autotelic experience, sense of control, clear goals, loss of self-consciousness, transformation of time) of flow experience. Third, novelty of sub-factors of sensation seeking propensity had significant effect on all of sport emotion factors(fun, dignity, vigor), thrill had so on vigor factor. Fourth, autotelic of flow experience components had significant influence on all of sport emotion factors(fun, dignity, vigor), loss of self-consciousness had so on dignity, and transformation of time had so on vigor.
사회체육 참여동기가 사회관계망과 참여지속행동에 미치는 영향
함도웅(Do Woong Ham) 한국사회체육학회 2007 한국사회체육학회지 Vol.0 No.31
The purpose of this study was to analyze the Effect of sports for all participation motivation on the social networks and participation continuous behavior. The subject for the study totalled 245 participants. Instruments of this study were participation motivation scale(Moon, 2004), social networks scale(Lee, 1998), participation continuous behavior scale(Seo, 2005). The collected data were analyzed by SPSS 11.0. The following conclusions were drawn: Frist. Intrinsic motivation of participation motivation was indicated the statistically significant difference on the social networks of personal factor and institutional factor, External motivation of participation motivation was indicated the statistically significant difference on the social networks of personal factor. Second. Intrinsic motivation and external motivation of participation motivation was indicated the statistically significant difference on the contact range and contact frequence of participation continuous behavior. Third. Social networks was indicated the statistically significant difference on the social networks. that is, contact range and contact frequence was indicated the statistically significant difference on the personal, institutional, social factor.
해양레저스포츠 참여자의 성취욕구, 몰입경험, 운동중독, 운동정서와 참가정도의 구조적 관계
함도웅(Ham, Do-Woong),전상완(Jeon, Sang-Wan) 한국체육과학회 2015 한국체육과학회지 Vol.24 No.3
The purpose of this research is to clearly identify the goal of marine leisure sports participants by applying structural analysis to various psychological states of the participants to enjoy the adventure and the thrill of the sports, thus making predictions on the future of the growth of marine leisure sports. The research selected 402 test subjects that included club members of marine leisure sports facilities and general participants. The data collection was done through a questionnaire survey. The collected data was analyzed using SPSS Ver. 21.0 and AMOS 21.0. The following results obtained from the analysis. First, there was statistically significant positive relationship between achievement need and exercise flow. Second, the relationship between achievement need and exercise addiction was statistically not significant. Third, the relationship between exercise flow and exercise addiction was statistically not significant. Fourth, achievement need and exercise emotion was not statistically significant. Fifth, the relationship between exercise flow and exercise emotion was statistically not significant. Sixth, the relationship between exercise addiction and exercise emotion was statistically not significant. Seventh, the relationship between exercise flow and the level of participation was statistically not significant. Eighth, exercise addiction and the level of participation had statistically significant positive relationship. Ninth, the relationship between exercise emotion and the level of participation was not statistically significant.
Lee, Dong‐,Hoon,Woo, Chul‐,Woong,Kwon, Jae‐,Im,Chae, Yeon Ji,Ham, Su Jung,Suh, Ji‐,Yeon,Kim, Sang‐,Tae,Kim, Jeong Kon,Kim, Kyung Won,Woo, Dong‐,Cheol,Lee, Do‐ John WileySons, Inc. 2019 Journal of magnetic resonance imaging Vol.50 No.6
<P><B>Background</B></P><P>Glutamate chemical exchange saturation transfer (GluCEST) imaging has been widely used in brain psychiatric disorders. Glutamate signal changes may help to evaluate the sleep‐related disorders, and could be useful in diagnosis.</P><P><B>Purpose</B></P><P>To evaluate signal changes in the hippocampus and cortex of a rat model of stress‐induced sleep disturbance using GluCEST.</P><P><B>Study Type</B></P><P>Prospective animal study.</P><P><B>Animal Model</B></P><P>Fourteen male Sprague–Dawley rats.</P><P><B>Field Strength/Sequence</B></P><P>7.0T small bore MRI / fat‐suppressed, turbo‐rapid acquisition with relaxation enhancement (RARE) for CEST, and spin‐echo, point‐resolved proton MR spectroscopy (<SUP>1</SUP>H MRS).</P><P><B>Assessment</B></P><P>Rats were divided into two groups: the stress‐induced sleep‐disturbance group (SSD, <I>n</I> = 7) and the control group (CTRL, <I>n</I> = 7), to evaluate and compare the cerebral glutamate signal changes. GluCEST data were quantified using a conventional magnetization transfer ratio asymmetry in the left‐ and right‐side hippocampus and cortex. The correlation between GluCEST signal and glutamate concentrations, derived from <SUP>1</SUP>H MRS, was evaluated.</P><P><B>Statistical Analysis</B></P><P>Wilcoxon rank‐sum test between CEST signals and multiparametric MR signals, Wilcoxon signed‐rank test between CEST signals on the left and right hemispheres, and a correlation test between CEST signals and glutamate concentrations derived from <SUP>1</SUP>H MRS.</P><P><B>Results</B></P><P>Measured GluCEST signals showed significant differences between the two groups (left hippocampus; 4.23 ± 0.27% / 5.27 ± 0.42% [SSD / CTRL, <I>P</I> = 0.002], right hippocampus; 4.50 ± 0.44% / 5.04 ± 0.34% [<I>P</I> = 0.035], left cortex; 2.81 ± 0.38% / 3.56 ± 0.41% [<I>P</I> = 0.004], and right cortex; 2.95 ± 0.47% / 3.82 ± 0.26% [<I>P</I> = 0.003]). GluCEST signals showed positive correlation with glutamate concentrations (R<SUP>2</SUP> = 0.312; <I>P</I> = 0.038).</P><P><B>Data Conclusion</B></P><P>GluCEST allowed the visualization of cerebral glutamate changes in rats subjected to sleep disturbance, and may yield valuable insights for interpreting alterations in cerebral biochemical information.</P><P><B>Level of Evidence:</B> 2</P><P><B>Technical Efficacy:</B> Stage 2</P><P>J. Magn. Reson. Imaging 2019;50:1866–1872.</P>