Factors Predicting Mental Health Problems among Vocational Education Students in Eastern Thailand: A Cross-sectional Study.
Vocational education is studying courses that allow students to learn specific, practical skills for the establishment. However, both the curriculum courses and the lifestyles of students may be affected by multiple factors that influence their mental health. Understanding various factors predicting...
| Publicado en: | Pacific Rim International Journal of Nursing Research Vol. 28; no. 4; pp. 733 - 747 |
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| Autores principales: | , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Thailand Nursing & Midwifery Council
Oct-Dec2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=180377025&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 180377025 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19068107 B7IM jtl: Pacific Rim International Journal of Nursing Research issn: 19068107 maglogo: N pubinfo: dt: Oct-Dec2024 vid: 28 iid: 4 pid: 26313 pub: Thailand Nursing & Midwifery Council artinfo: ui: 180377025 180377025 180377025 10.60099/prijnr.2024.268524 180377025 ppf: 733 ppct: 14 formats: fmt: @attributes: type: P tig: atl: Factors Predicting Mental Health Problems among Vocational Education Students in Eastern Thailand: A Cross-sectional Study. aug: au: Pornpan Srisopa Pornpun Sudjai Pornpat Hengudomsub Saifone Moungkum Pachara Photihung Artittaya Artiwitchayanon Pichamon Intaput Nisakorn Krungkraipetch Watcharagan Awela affil: Assistant professor, Division of Psychiatric and Mental Health Nursing, Faculty of Nursing, Burapha University, Thailand sug: subj: Depression Risk Factors Anxiety Risk Factors Stress, Psychological Risk Factors Vocational Education Students, Nursing Psychosocial Factors Mental Health Prediction Models Risk Assessment Human Male Female Adolescence Young Adult Thailand Cross Sectional Studies Cluster Sample Substance Abuse Alcohol Drinking Smoking Bullying Victims Emotional Regulation Multivariate Analysis Multiple Logistic Regression Pearson's Correlation Coefficient Data Analysis Software Descriptive Statistics Questionnaires Scales Funding Source Adolescent: 13-18 years Male Female ab: Vocational education is studying courses that allow students to learn specific, practical skills for the establishment. However, both the curriculum courses and the lifestyles of students may be affected by multiple factors that influence their mental health. Understanding various factors predicting the mental health status of these students is necessary to develop programs for preventing mental health problems. This cross-sectional study aimed to identify biopsychosocial factors predicting depression, anxiety, and stress among vocational education students in the East of Thailand. Multistage cluster sampling was applied to recruit 1,474 voluntary participants. Data was collected using six questionnaires, including Sociodemographic Data, the Brief-Alcohol, Smoking, and Substance Involvement Screening Test, The Substance Use Risk Profile Scale, The Revised Olweus Bully/Victim Questionnaire, Difficulties in Emotion Regulation Scale-short form, Depression Anxiety and Stress Scale. Multivariable logistic regression was employed for data analyses. The findings revealed that students reported depression (11.6%), anxiety (20.8%), and stress (3.9%), all classified at a mild level. The strongest predicting factor of depression was the hopelessness personality profile. At the same time, anxiety was predicted by victim and bullying behavior patterns, and stress was predicted by substance use behaviors. In addition, the difficulty of emotional regulation was associated with all their mental health problems. The results suggested that personnel in educational institutions and community nurses should promote students' abilities to regulate emotions and personality development and prevent bullying behaviors. Through the use of nursing process to screen for these significant factors and monitor at-risk students based on our findings should help to reduce the incidence rate and severity of mental health problems. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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