ปัจจัยทำนายภาวะซึมเศร้าในนักศึกษาพยาบาล วิทยาลัยพยาบาลบรมราชชนนีนครพนม มหาวิทยาลัยนครพนม

Kamonnat Klongdee; Surachai Chaniang

Authors

Kamonnat Klongdee Boromarajonani College of Nursing Nakhonphanom, Nakhonphanom University
Surachai Chaniang Boromarajonani College of Nursing Nakhonphanom, Nakhonphanom University

Keywords:

Depression, Stress, Social support, Resilience, Nursing student

Abstract

The objective of this predictive research was to investigate the factors predicting depression in nursing students. A simple random sampling technique was used to recruit 311 nursing students from Boromarajonani College of Nursing Nakhon Phanom. A set of self-report questionnaires was used for data collection, including the Thai version of the Patient Health Questionnaire (PHQ-9), Suanprung Stress Test-20, Revised-Thai version of the Multi-dimensional Scale of Perceived Social Support, and Resilience Inventory. Internal consistency reliability for research instruments tested by Cronbach’s alpha were .92, .93, .84, and .92, respectively. Data were analyzed using descriptive statistics and stepwise multiple regression.

The findings revealed that stress, resilience, age, and social support accounted for 63 percent of variance of depression in nursing students (R² = .63, R²_Change = .62, F (4,310) = 128.09, p = .00). Stress was positively related to depression with statistical significance (r = .75, p = .00), while age, resilience, and social support were negatively related to depression with statistical significance (r = -.14, p = .02, r = -.52, p = .00, and r = -.39, p = .00, respectively).

Nursing instructors and other healthcare providers could develop a comprehensive program focusing on managing stress, enhancing social support, and maintaining resilience to prevent depression in nursing students.

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