지역사회간호학회지 (Research in Community and Public Health Nursing)

  • 제32권3호
  • /
  • Pages.254-267
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  • 2021
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  • 1225-9594(pISSN)
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  • 2288-4203(eISSN)
한국지역사회간호학회 (Korean Academy of Community Health Nursing)
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뇌파 바이오피드백훈련 간호중재가 학교 청소년 정서행동문제 관심군의 자기조절에 미치는 효과

The Effects of Brain-wave Biofeedback Training Nursing Intervention upon Self-regulation of Emotional Behavior Problem in Adolescents at School

  • 투고 : 2021.03.15
  • 심사 : 2021.06.23
  • 발행 : 2021.09.30
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초록

Purpose: The purpose of this study was to identify the effects of brain-wave biofeedback training nursing intervention (NFT) upon enhancing self-regulation response in adolescence with emotional behavior problems in school. Methods: A quasi-experimental design was conducted. The participants were assigned to the experimental group (n=24) or the control group (n=24). The experimental group additionally received NFT. The NFT was conducted 10 sessions for 30 minutes per session with the band reward and inhibit training which matched their Quantitative Electroencephalography (QEEG), participant's demand and chief complaint. Data were collected with QEEG and heart rate variability (HRV) in physiological response, self-efficacy in cognitive response, depression in emotional response, impulsivity and delay gratification in behavioral response of self-regulation. Results: The general characteristics and the pre-test scores of two groups were all homogeneous. The experimental group was reported to be significantly higher in QEEG homeostasis, HRV homeostasis, self-efficacy, and delay gratification than the control group. The experimental group was reported to be significantly lower in depression and impulsivity. Conclusion: The results indicate that NFT using brain cognitive neuroscience approach is effective in enhancing self-regulation response. Therefore, this nursing intervention using brain cognitive neuroscience approach can be applied as an effective self-regulation nursing intervention for adolescents with emotional behavior problems in communities for adaptive life.

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과제정보

본 연구는 2019년도 정부(과학기술정보통신부)의 재원으로 한국연구재단지원(과제번호: 2019R1A2C108947112)

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