FACTORS AFFECTING STRESS OF POPULATION IN BANGKOK AREA DURING THE COVID-19 VIRUS OUTBREAK SITUATION

Abstract

     The objectives of this research were to study 1) the factors that affected stress 2) the level of stress and 3) the stress management of population in Bangkok area during the covid -19 virus outbreak situation. It utilized the mixed methods research. The samples of this study were 400 populations in Bangkok area. They were selected by using multi-stage sampling and simple random sampling. The questionnaires were adopted to collect data. In statistical were analyzed data including frequency, percentage, mean, standard deviation, Pearson coefficient correlation and multiple regression analysis and in-depth interview of 5 experts for qualitative research.
     The result found that the level of opinions of the factors that affected stress of population in Bangkok area during the covid-19 virus outbreak situation overall, it were at a high level ( = 4.03, S.D. = 0.52). The level stress by using SPST 20 found that the level stress of population in Bangkok area during the covid-19 virus outbreak situation was at a high level (mean =55.08 score, standard deviation = 11.49 score). Which was the result that population in Bangkok area had many troubles in daily life, example: unilateral headache, fear of malfunction, not enough money, had a feeling of anxiety and unable to do activities to reach the goals set. The level of opinions of the stress management methods were at the highest level. The first method stress management was to see TV, to see movie, sing a song and play the music, the second method was to more adjust positive thinking.
The Pearson coefficient correlation found that factors that affected stress and the level stress had relationship in the same direction (statistically significant 0.01). The results of multiple regression analysis found that factors that affected stress of population in Bangkok area during the covid-19 virus outbreak situation had two aspects: the Covid-19 virus outbreak Situation factor (Beta) = 0.362, t = 6.760, P-Value = 0.000*) and individual factor (Beta) = 0.121 t = 2.114, P-Value =0.035*) with a statistical significance level at 0.05. R square of the model was found as 0.196. Showed that independent variables had individual factors, environment factors and the covid-19 virus outbreak situation factors that affected level of stress at 19.60 percent.