목적: 국내외 연구결과를 토대로 살펴보면, 운동 자기-도식은 신체활동을 설명하는데 유용한 변인이며, 이의 형성은 의미있는 일이라고 보고되고 있다. 이에 본 연구는 운동 자기-도식의 형성에 영향을 미치는 요인을 탐색하고자 한다. 방법: 연구의 목적을 달성하기 위하여 성인 남, 여 200명이 개방형 설문에 응답하였으며, 운동 숙련자 및 운동 전문 지도자 10명이 개별 면담에 참여하였다. 연구 참여자의 원자료에 대한 빈도분석과 질적 내용 분석을 실시하였다. 결과: 운동 자기-도식의 영향요인으로 운동효과 측면, 신체상태 측면, 행동적 측면, 인지적 측면, 심리적 측면 그리고 환경적 측면이 나타났다. 결론: 본 연구를 통해 운동 자기-도식의 형성에 영향을 미치는 요인들이 있음을 확인할 수 있었으며, 이를 신체활동의 참여와 지속을 위한 중재전략에 적용하면 유용할 것이라 생각되며, 이에 대한 연구가 지속될 필요가 있다.

Purpose: This study was to verify the difference between reaction time of information processing and decision making information related with physical activity according to exercise self-schema. So it would have the hypothesis that exercise self-schema affected to judgement, remember and expectation of the content related with physical activity. Methods: The participants of experiment were 36(male:15, female21,Mage=21.25). Task was presented at computer screen. Participants reaction time and contents were saved automatically. And it was measured the physical activity’s amount for 7 days through questionnaire. All anaysis were conducted by SPSS 18.0 and AMOS 18. Results: It was shown that the participants who had higher exercise self-schema had faster information processing about physical activity content than the participants who had lower exercise self-schema. Also group of higher exercise self-schema had more vocabulary comments. And at the expect behavior related physical activity, the group of higher exercise-self schema seek more physical activity than the group of lower exercise self-schema. Finally, higher exercise self-schema group had more physical activity. Conclusion: it had identified that exercise self-schema was significant factor at information processing related physical activity. So it is needed to study and develop the program which help developing exercise self-schema.

Purpose: The purpose of this study was to identify the differences among exercise self-schema, exercise imagery, exercise self efficacy and physical activity by gender, age, stages of changes and to identify structural relationship among exercise self-schema, exercise imagery, exercise self efficacy and physical activity of adults. Methods: Six hundred questionnaires were initially distributed to college students, company employees and sports center members. Among them, total 569 were finally used in this study(male: 288, female:281, Mage=38.36). Exercise self-schema inventory, exercise imagery inventory, exercise self-efficacy scale and weekly leisure-time exercise questionnaire were revised into Korean and applied in the study. Frequency analysis, analysis of variance, correlation analysis and structural equation modeling were carried out to test the possible relationship among exercise self-schema, exercise imagery, exercise self efficacy and physical activity. All analyses were conducted by SPSS 18.0 and AMOS 18. Results: Results indicated that there was significant differences in exercise self-schema, exercise imagery, exercise self efficacy, and physical activity by gender, age, and the stages of exercise changes. And results indicated that there was positive relationship among exercise self-schema, exercise imagery, exercise self efficacy and physical activity of adults. Conclusion: This study suggests that cognitive intervention strategies aimed at exercise self-schema and exercise imagery could be significant to promote physical activity.