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Sopa Choychod
Jintana Sarayuthpitak
Kamonwan Tangdhanakanond


The aim of this study was to develop an effective intervention program to reduce depression levels among Thai lower secondary school students with a mild to moderate depression. The development of the intervention was divided into 4 phases, i.e.; phase
1) literature review, phase 2) content analysis, phase 3) content development, and phase
4) evaluation of the suitability of the intervention by 7 experts. Thereafter, the intervention was pilot tested on 15 participants who had mild to moderate depression levels. The literature review revealed that there were 4 groups of depression factors, consisting of personal factors, family factors, friendship and romantic intimacy factors and social factors, which were used in the design of the intervention. Furthermore, the simultaneous implementation of problem-solving therapy (PST) and exercise therapy (ET) was found to be suitable to reduce depression. The designed activities of the intervention were listed and divided into several elements including the activity name, objective, concept, learning activity, instruction media and assessment. The activities were spread over the course of each week starting with: 1) “Who am I?” 2) “What is the true cause?” 3) “Finding a solution” 4) “Problem-solving methods” 5) “I choose you” 6) “Solving the problem by myself” 7) “There is a solution for every problem” and 8) “Evaluating the result of the solution”. The duration of the intervention was set for 8 weeks with 2 sessions per week of 90 minutes. According to the pilot test, the intervention was rated as “most suitable” with a score of 4.36. This indicated that the intervention might be effective in reducing depression levels among lower secondary school students.


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Choychod, S., Sarayuthpitak จ. ., & Tangdhanakanond ก. . (2022). DEVELOPMENT OF A BEHAVIOUR INTERVENTION PROGRAM TO REDUCE DEPRESSION LEVELS FOR LOWER SECONDARY SCHOOL STUDENTS. Academic Journal of Thailand National Sports University, 14(2), 281–298. Retrieved from
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