Selected Factors Related to Depression of Prisoners with Methamphetamine Dependence
Main Article Content
Abstract
Purpose: to examine the depression and relationships between selected factors with the depression of prisoners.
Design: Descriptive correlation research.
Methods: A total sample of men and women was 165 prisoners. The population aged between 18-59 years old in upper north district prison. Stratified random sampling was used Research instruments consist of demographic data sheet, The Coping Scale, The Self-Esteem Scale, The Self-Stigma Scale, The Social Support Scale, and The Depression Scale BDI-IA. All instruments were validated for content validity by 5 experts and tested for reliability. The Cronbach’s Alpha coefficient were .82, .87, .86, .82, .83 and .91, respectively. The data were analyzed using descriptive statistics, and correlated statistics including Chi-square, Point biserial, and Pearson’s Product Moment.
Findings: 1) The majority of prisoners with methamphetamine dependence had moderate depression (33.9%), 2) Coping by problem-solving with self-efficacy, using other support resources, and avoiding coping were associated with depression among prisoners (c2= 94.23; p<.05), 3) Period of punishment and self-stigmatization was positively associated with depression among prisoners (r = .446 and .340; p<.05, respectively), 4) Age, self-esteem, and social support had a negative correlation with depression among prisoners with methamphetamine dependence (r = -.292, -.404, and -.396; p<.05, respectively). Gender, History of Illness, and history of alcohol consumption were not significantly correlated to depression among this population.
Conclusion: This finding factor can cause of depression. Nurses can use screening for depression prisoners with amphetamine dependence in order that can provide proper health and care continually.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
ลิขสิทธิ์ของบทความที่ตีพิมพ์เป็นของวารสารพยาบาลศาสตร์ จุฬาลงกรณ์มหาวิทยาลัย ทั้งฉบับตีพิมพ์เป็นรูปเล่มและเอกสารออนไลน์
References
Office of the Narcotics Control Board,
Ministry of Justice. Situation of narcotics
years 2018 and trend years 2019
[Internet]. 2019 [cited 22 march 2562].
Available from: https://www.
chiangmaihealth.go.th/cmpho_web/
document/18083115356 82480 23 .pdf
Strategy and Plan Division, Department of
Corrections. Corrections statistics report
[Internet]. 2020 [cited 1 July 2563].
Available from: http://www.correct.
go.th/rt103pdf/report_index.php
Medical Services Division. Psychiatric and
neuropathy statistics report of poisoners.
Nonthaburi: Department of Corrections;
World Health Organization. World health
report 2002: Reducing risks, promoting
healthy life. Geneva: World Health
Organization; 2002.
Beck AT, Rush AJ, Shaw BF, Emery G.
Cognitive therapy of depression. New
York: The Guilford Press; 1979.
Rao G, Rosliza AM, Halimatus SM. A review
on determinants of Depression among
adult prisoner. Malays J Med Health
Sci 2018; 14(2): 75-87.
Uthis P, Suktrakul S, Sonlar K, Sawangpon M.
Factors related to depressive symptoms
among adolescent amphetamine users.
J HEALTH Sci 2018; 27(6): 965-77.
(in Thai)
Thorndike RM. Correlation procedures for
research. USA: A Halsted Press Book;
Group WAW. The alcohol, smoking and
substance involvement screening test
(ASSIST): development, reliability
and feasibility. Addiction 2002; 97(9):
-94.
Assanangkornchai S, Balthip Q, Edwards JG.
Implementing the Alcohol, Smoking,
Substance Involvement Screening Test
and linked brief intervention service in
primary care in Thailand. Journal of
Public Health 2014; 36(3): 443-9.
(in Thai)
Overall JE, Gorham DR. The brief psychiatric
rating scale. Psychol Rep 1962; 10(3):
-812.
Kittirattanapaiboon P, Kongsuk T, Pengjuntr
W, Leejongermpoon J, Chutha W,
Kenbubpha K. Epidemiology of
psychiatric comorbidity in Thailand: a
national study 2008. J Ment Health Thai
; 21(1): 1-14. (in Thai)
Lazarus RS, Folkman S. Stress, appraisal, and
coping. New York: Springer; 1984.
Sumnuan S, Uthis P. Relationships between
personal factors, stress appraisal,
coping, self-esteem, and psychological
well-being of amphetamine addicted
adolescents receiving treatment in out
patient department, Thanyarak Institute.
[Master’s thesis, Nursing program].
Bangkok: Chulalongkorn University;
Rosenberg M. Society and the adolescent
self-image. In Society and the adolescent
self-image. New Jersey: Princeton
University press; 1965.
Srimoragot P. Effect of supportive counseling
on perceived illness, self-esteem, and
morale in cervical cancer patients
undergoing radiotherapy. [Unpublished
dissertation]. Bangkok: Mahidol
University; 1993.
Penpaktr U, et al. Full Research Reports on
“Evaluation of the end of TB and AIDS
project with a service kit Reach-Recruit-
Test-Treat-Retain: RRTTR among
drugusers by injection method”.
Bangkok: Chulalongkorn University.
(in Thai)
Fife BL, Wright ER. The dimensionality of
stigma: a comparison of its impact on
the self of persons with HIV/AIDS and
cancer. J Health Soc Behav 2000; 41(1):
-67.
Brandt PA, Weinert C. The PRQ-A social
support measure. Nurs Res 1981; 30(5);
-80.
Tangchurat S, Tawichachat N, Worakul P,
Wanichanont P.A comparative study of
burdens and stress between relative
and non-relative caregiver of alzheimer's
disease patients [Master’s thesis, Nursing
program]. Bangkok: Chulalongkorn
University; 2001.
Beck AT, Steer RA, Brown GK. Manual for the
Beck Depression Inventory-II. San
Antonio: Psychological Corporation;
Sriyong M. Beck’s depression assessment
(Beck Depression Inventory IA [BDI-IA]).
Bangkok: Faculty of Education,
Ramkhamhaeng University; 1979.