PREDICTIVE FACTORS THAT INFLUENCE DEPRESSION AMONGST SIRINDHORN COLLEGE OF PUBLIC HEALTH SUPHANBURI

Abstract

The purpose of this research was to study the prevalence and to find factors to predict depression of students. Sirindhorn Public Health College Suphanburi Province Use a descriptive cross-sectional survey model to determine the sample by using the G * power program by determining the F-test family test. Statistical testing using linear multiple regression: Fixed model, R2 deviation from zero Determine the size, influence (effect size) equal to 0.15. The probability of the error in the first category test () equals .05 The test power () is equal to .95 and the number of variables in the forecast is 4. One Equal to 129 people using systematic sampling method. The instrument used as a questionnaire And depression assessment statistics using Multiple Regression Analysis using Stepwise method The research found that Tuckiness and depression Of the students of Sirindhorn Public Health College Suphanburi Province, 129 people, 33 women with depression accounted for 34.5% of the year. The year with the most depression is The first year students, 14 people, representing 15.3 percent, with the most problems with depression 25 dental students, 20.8%, whose parents are farmers There were 16 depression problems, 16.0 percent, and marital status of divorced parents with 8 depression problems, representing 5.2 percent. The results showed that Prediction of student depression Sirindhorn Public Health College Suphanburi Province There are 3 variables that affect the predictions of depression consisting of family functions. Bond with friends and self-esteem by such variables Can create predictive equations as follows Equations in the raw score Y/ = 2.177 + 0.013 (X1) – 0.022 (X2) – 0.371 (X3) Equations in the standard score ZY = 0.015Z Family functions – 0.038Z Bond with friends – 0.512Z Self-esteem Keywords: 1 Predictive Factors 2. Depression