Effects of a Percentile Schedule for Vegetables on Increasing the Variety of Vegetables Consumed

Transcription

1 Japanese Journal of Behavior Analysis 2016, Vol. 31, No. 1, RESEARCH REPORT Effects of a Percentile Schedule for Vegetables on Increasing the Variety of Vegetables Consumed AIKO OHYA Kobegakuin University TAKASHI MUTO Doshisha University Abstract Study objective: The present study examined whether a percentile schedule for vegetables would increase the variety of vegetables that university students consume in their daily life. Design: Multiple baseline design across participants. Setting: The participants were instructed to consume various kinds of vegetables. Participants: 7 university students who had concerns regarding their lack of consumption of vegetables participated in the program. Intervention: In the baseline phase, an questionnaire was sent to the students, instructing them to record the names of the vegetables that they had consumed that day. In the intervention phase, in addition to the first questionnaire, an message was sent to the students whenever a current vegetable item scored less than a criterion determined during the preceding week. Measure: The number of different vegetables consumed was the measure of response variability. Results: In the intervention phase, some students showed an increase in the variety of vegetables consumed as compared to the baseline phase. Conclusions: The percentile schedule for vegetables increased the consumption of a variety of vegetables by some students. Key Words behavioral variability, percentile schedule, vegetable consumption, lifestyle habit 30

2 研究報告 研究の目的 実験デザイン ABAB 場面 参加者 7 介入 1 行動の指標 DIHAL.2 Diagnostic Inventory of Health and Life Habit 結果 結論 Key Words 31

3 31 1 問題 g g g Transtheoretical Model 2010; Goetz & Baer, Harding, Wacker, Berg, Rick, & Lee 2004 Harding et al Lag Schedule Percentile Schedule Galbicka, 1994 目的 Hopkinson & Neuringer 2003 percentage reinforcement schedule 32

4 方法参加者 4 Diagnostic Inventory of Health and Life Habit: DIHAL DIHAL DIHAL 場面 m 5.23 m 2.50 m 1 2 標的行動 1 n 1 n 実験デザイン multiple-baseline design across participants ABAB 手続き World Wide Web 2 3 面接 1 33

5 QOL Quality of Life QOL 2 IH 電子メールとウェブ上の食事記録 Google n 20 n 1 n 1 n 1 20 n n 1 URL Uniform Resource Locator ベースラインフェイズ (BL1, BL2) 2 n 1 n 1 3 介入フェイズ (VAR1, VAR2) 1 1 F G VAR1 BL2 C BL1 BL2 VAR2 倫理的配慮 1348 従属変数異反応数 34

6 2005 n 1 n 1 言語報告 食習慣の変化 DIHAL.2 DIHAL.2 結果野菜摂取行動に関する変動性 Figure Figure Table 1 A B C D VAR1 E VAR1 BL1 F G BL1 VAR1 A B C D F G A F 2, , p.002 B F 2, , p.001 C F 3, , p.001 D F 2, , p.001 F F 1, , p.001 G F 1, , p.001 E F 2, , p.080 A B C D Bonferroni A B C D VAR1 BL2 B D VAR1 BL1 C VAR2 BL2 A C BL1 VAR1 言語報告 Table 2 E G 1 2 食習慣の変化 DIHAL.2 Table 3 35

7 31 1 Figure 1 Cumulative number of vegetables consumed by the students. The graph presents the sum of the number of vegetables consumed that differed from all the responses omitted before. The straight line represents the regression line for each phase. The black rectangles indicate the interview sessions, while the slash indicates reinforcement. The figures above the slashes indicate the number of vegetables of which consumption was reinforced. 36

8 Table 1 Regression coefficients, number of different vegetables in the individual phases, and F values. Regression coefficient Number of different vegetables F df BL1 VAR1 BL2 VAR2 BL1 VAR1 VAR1 BL2 BL1 BL2 BL2 VAR2 VAR1 VAR2 BL1 VAR2 A * B * * * 23 C * * * * D * * E F G Note. A BL2 VAR1; B BL1 BL2 VAR1; C BL2 VAR2 VAR1, BL1 BL2; D BL1 VAR1, BL2 VAR1; E no significant interaction; F VAR1 BL1; G VAR1 BL1. Table 2 Reports from the participants during the intervention. A B C D E F G Table 3 The DIHAL.2 scores of eating habits during the intervention. A B C D E F G PRE POST A B C E F G D POST PRE 1 考察 7 C A B D BL2 A B D VAR2 E F G 37

9 31 1 DIHAL.2 A B C E F Muto, Yamanashi, Ishizaka, & Kobayashi, 1997; 2013; 2013 F Baruni, Rapp, Lipe, & Novotny, 2014; Goetz & Baer, 1973; Harding et al., Harding et al., F

10 引用文献 Baruni, R. R., Rapp, J. T., Lipe, S. L., & Novotny, M. A Using lag schedules to increase toy play variability for children with intellectual disabilities. Behavioral Interventions, 29, , Galbicka, G Shaping in the 21st century: Moving percentile schedules into applied settings. Journal of Applied Behavior Analysis, 27, Goetz, E. M., & Baer, D. M Social control of form diversity and the emergence of new forms in children s blockbuilding. Journal of Applied Behavior Analysis, 6, QOL 33, Harding, J. W., Wacker, D. P., Berg, W. K., Rick, G., & Lee, J. F Promoting response variability and stimulus generalization in martial arts training. Journal of Applied Behavior Analysis, 37, Hopkinson, J., & Neuringer, A Modifying behavioral variability in moderately depressed students. Behavior Modification, 27, ver2.0 bunya/shakaihosho/iryouseido01/pdf/info03d-1.pdf Muto, T., Yamanashi, A., Ishizaka, M., & Kobayashi, S Expanding the food repertoire of a child with autism through parent s self-recording. Bulletin of Special Education, 21, p , QOL & ACT 2, , DIHAL. 2 27, , ,