2.50
Hdl Handle:
http://hdl.handle.net/10755/158444
Type:
Presentation
Title:
Predictors of Depression among Baccalaureate Nursing Students in Thailand
Abstract:
Predictors of Depression among Baccalaureate Nursing Students in Thailand
Conference Sponsor:Midwest Nursing Research Society
Conference Year:2004
Author:Ross, Ratchneewan, PhD, RN
Title:Assistant Professor
Contact Address:CON, 338 Henderson Hall, Kent, OH, 44242, USA
Co-Authors:Wantana Suppasrimanont, MSN, RN, Instructor; Sujidra Somchid, MSN, RN, Instructor
Nursing students are valuable human resources for our future. A detection of their psychological imbalances, depression in particular, is crucial, since depression can lead to suicidal ideas. Identifying factors affecting depression can help us find ways to block paths to depression. Purpose: to examine predictors of depression among baccalaureate nursing students in Thailand. Theoretical Framework: Beck's cognitive theory was applied to examine the relationships between depression and its predictors (stress, emotional support, internal strength, gender, and family income). Subjects and Method: This correlational, cross-sectional study recruited 322 baccalaureate nursing students from three nursing schools in Thailand. Subjects completed two instruments that had been translated into Thai: The Center for Epidemiology Studies Depression Scale was used to measure depression (Alpha=.89) and the 4-point-Likert Perceived Stress Questionnaire was used to measure stress (Alpha=.89). Two other instruments created in Thai were also used. A 13-item-Likert questionnaire measured emotional support and a 19-item-Osgood questionnaire measured internal strength. Both questionnaires were constructed based on literature review and previous research. The questionnaires showed construct validity by their moderately positive relationships with the Rosenburg Self-Esteem Scale. Their alphas were .88 and .69, respectively. Results: The mean sample age was 20.3 (SD=3.04). Seventy-eight percent were female and 19.9% did not have enough family income. Most were in their junior year (34.6%). When using the cut-off score of 23 or higher, 54% of the subjects were significantly depressed. Stress was positively related to depression (b=.65), whereas emotional support and internal strength were negatively related to depression (b=-.12 and -.09, respectively). Conclusion: Factors found contributing to depression were high stress, low emotional support, and low internal strength, but not gender or family income. Interventions related to these factors should be applied to decrease depression among nursing students.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Midwest Nursing Research Society

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titlePredictors of Depression among Baccalaureate Nursing Students in Thailanden_GB
dc.identifier.urihttp://hdl.handle.net/10755/158444-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Predictors of Depression among Baccalaureate Nursing Students in Thailand </td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Midwest Nursing Research Society</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2004</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Ross, Ratchneewan, PhD, RN</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Assistant Professor</td></tr><tr class="item-address"><td class="label">Contact Address:</td><td class="value">CON, 338 Henderson Hall, Kent, OH, 44242, USA</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">Wantana Suppasrimanont, MSN, RN, Instructor; Sujidra Somchid, MSN, RN, Instructor</td></tr><tr><td colspan="2" class="item-abstract">Nursing students are valuable human resources for our future. A detection of their psychological imbalances, depression in particular, is crucial, since depression can lead to suicidal ideas. Identifying factors affecting depression can help us find ways to block paths to depression. Purpose: to examine predictors of depression among baccalaureate nursing students in Thailand. Theoretical Framework: Beck's cognitive theory was applied to examine the relationships between depression and its predictors (stress, emotional support, internal strength, gender, and family income). Subjects and Method: This correlational, cross-sectional study recruited 322 baccalaureate nursing students from three nursing schools in Thailand. Subjects completed two instruments that had been translated into Thai: The Center for Epidemiology Studies Depression Scale was used to measure depression (Alpha=.89) and the 4-point-Likert Perceived Stress Questionnaire was used to measure stress (Alpha=.89). Two other instruments created in Thai were also used. A 13-item-Likert questionnaire measured emotional support and a 19-item-Osgood questionnaire measured internal strength. Both questionnaires were constructed based on literature review and previous research. The questionnaires showed construct validity by their moderately positive relationships with the Rosenburg Self-Esteem Scale. Their alphas were .88 and .69, respectively. Results: The mean sample age was 20.3 (SD=3.04). Seventy-eight percent were female and 19.9% did not have enough family income. Most were in their junior year (34.6%). When using the cut-off score of 23 or higher, 54% of the subjects were significantly depressed. Stress was positively related to depression (b=.65), whereas emotional support and internal strength were negatively related to depression (b=-.12 and -.09, respectively). Conclusion: Factors found contributing to depression were high stress, low emotional support, and low internal strength, but not gender or family income. Interventions related to these factors should be applied to decrease depression among nursing students.</td></tr></table>en_GB
dc.date.available2011-10-26T21:03:36Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T21:03:36Z-
dc.description.sponsorshipMidwest Nursing Research Societyen_GB
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