Suleemas Angsukiattitavorn. Prevalence and distribution pattern of mood swings in Thai youth : school-based survey. Doctoral Degree(Nursing). Mahidol University. Mahidol University Library and Knowledge Center. : Mahidol University, 2019.
Prevalence and distribution pattern of mood swings in Thai youth : school-based survey
Abstract:
Mood Swings (MS) is a common feature widely discussed as a prodromal sub-symptom of mental problems and psychopathology. However, there is paucity of knowledge related MS. This school-based, cross-sectional study aimed to investigate the prevalence and distribution pattern of mood swings on personal determinants and contextual determinants among Thai youth. Questionnaires were provided by using smartphone to determine demographic data, personal determinants: family history of mental problems, bullying involvement, social media use, and substance use and contextual determinants: family structure and circumstance and school location. The participants were students (2,598) in high schools (1,382) and vocational schools (1,216) in Bangkok and central region of Thailand. Multi-stage stratified random sampling and the classroom cluster were used to determine the sample size. Analysis of variance, odd ratio, and hierarchical multiple logistic regression models were used for analysis. Results showed the prevalence of mood swings was 26.4%. It was most frequent among students in the vocational schools in Bangkok area (37.1%). The bivariate analysis showed a significance difference of distribution of MS on personal and contextual determinants. The distribution of MS could be found in adolescents who had risk behavior and residing in hazardous situation. The probabilities of MS in aged 15 - 24 years were: bullying involvement 36.9% (n=1,293), problematic social media use 55.9%(n=127), high expressed emotion in family 36.6%(n=1,256), and studying in vocational program 29.5%(n=1,216) and school located in Bangkok 32.4%(n=561). Also, substance use was probably a risk to MS such as cannabis 41.8%(n=55) and heroin 48.0%(n=25). In addition, the current study found significant hierarchical logistic regression analysis of female, family history of mental problems and illness, bullying involvement, problematic social media use, illicit substance use, high expressed emotion in family. Finally, an interaction between vocational program and metropolitan/ urban area impacted on mood swings (p < .05) when all included variables were controlled. The final model showed acceptable fit (X 2 =398.53, df=20, p=.106). Findings of the study indicate that the pattern of mood swings was associated with significant bullying involvement, problematic social media use, illicit substance use, family circumstance and school characteristics. The public need greater awareness of mood swings pattern and its alternative implications of MS screening. Moreover, early intervention for prevention of mental illness is needed