Factors Predicting Mental Health Status of High School Students: A Survey Study in a School in Bangkok
Keywords:
Social media, mental health, debt burden, attitudes toward social media use, perceived behavioral controlAbstract
This research aimed to examine the level of mental health, comparing the mean differences based on demographic characteristics, social media usage behaviors, and psychological personal factors, as well as identify the predictors of mental health among high school students. A survey research design was employed. The study population consisted of upper secondary school students in the second semester of the academic year 2024. The required sample size was calculated using Daniel’s formula, yielding a minimum of 245 participants. A multistage sampling technique was applied, resulting in a total of 379 respondents (n = 379). Data was collected using a structured questionnaire and analyzed using Independent t-test, F-test (ANOVA), and multiple regression analysis.
The results indicated that: 1) majority of the sample had lower mental health scores than the general population (50.7%). 2) Comparing the mean scores, it was found that debt burden (p = .032), attitudes toward social media use (p = .037), and perceived behavioral control (p = .001) were significantly differed, 3) Debt burden, attitudes toward social media use and perceived behavioral control factors can predict the mental health level of the sample by 7.4% (Adjusted R2 = .074)
The results of the study can be used to develop guidelines for promoting students’ mental health through schools and related agencies. It can also be used as basic information for further research on factors affecting mental health in youth, for effective solutions.
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