Factors Influencing Depression among Late Adolescents


  • Anyamanee Maneenil Burapha University
  • Duangjai Vatanasin Burapha University
  • Pornpat Hengudomsub Burapha University


depression, Influencing factors, late adolescents



          Introduction: Late adolescents are at risk for depression due to various factors, with some linked to their life stage. 

          Research objectives: The purpose of this predictive-correlational study was to examine depression and its influencing factors among late adolescents in high schools in Muang District, Chanthaburi Province. Stratified random sampling method was employed to recruit sample (n = 160).

          Research methodology:  Data were collected using seven questionnaires: a Personal Information Form, the Center for Epidemiological Studies-Depression Scale, the Social Intelligence Scale, the Family Connectedness Scale, the Friendship Intimacy Scale, the Perception of Cyberbullying Victim Scale, and the Coping with Cyberbullying Scale. These scales yielded Cronbach’s alpha coefficients of .87, .82, .90, .82, .91, and .95, respectively. Data were analyzed  using descriptive statistics, and stepwise multiple regression analysis.

          Results:  Findings revealed that there was depression among the sample (51.25%).  Among these, 25% had mild to moderate depression, and 26.25% had severe depression. Stepwise multiple regression analysis revealed that family connectedness (ß = -.39, p < .001), and social Intelligence (ß = -.15, p < .05) had statistically significant predicted the depression. Together, these factors significantly explained 22.30% (R2 = .223, p < .05) of the variance in depression among these late adolescents.

          Conclusions: The results suggest that healthcare providers should be aware of late-adolescent depression as an important mental health concern.

            Implication:  Mental health programs or activities to prevent or decrease depression among late adolescents should be developed by enhancing family connectedness and social intelligence.


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Chaveepojnkamjorn W, Pichainarong N, Adthasangsri V, Satitvipawee P, Prasertsong C. Youths and depression: depressive evaluation among senior high school students. journal science and technology mahasarakham university 2016;35(5): 530-7 (in Thai).

Uratanamnee S, Lerdsamran S. Stress anxiety and depression of high school teenager in preparation for university admission. Journal of Psychiatric Nursing and Mental Health 2016;31(2):98-4. (in Thai).

Seangsanaoh S, Vatanasin D, Hengudomsub P, Pratoomsr W. The influence of interpersonal factors on depression among late adolescents. Journal of Boromarajonani College of Nursing, Bangkok 2017;33(3). (in Thai).

Santrock, J. W. Adolescence. New York: McGraw-Hill Education; 2014.

Tonteuan S. Study of stress and coping methods of high school students [Master thesis]. Srinakharinwirot University; 2010. (in Thai).

Secretariat of the Prime Minister. Driving the future towards stability, wealth and sustainability “Thailand 4.0” [Internet]. 2016 [cited 2021 Dec 15]. Available from https:// spm.thaigov.go.th/ FILEROOM/ spm-thaigov/ DRAWER004/ GENERAL/ DATA0000/00000368.PDF.

Beck, AT, Alford, BA. Depression: Clinical, experimental, and theoretical aspects (2nd ed.). Pennsylvania: University of Pennsylvania; 2009.

Ruangtrakul S. Basic Psychiatry and Psychiatry. 2nd ed. Bangkok: Ruen Kaew; 2010. (in Thai).

Watchareeudomkarn N. Psychiatricconsultation laison in pediatric inpatient unit at King Chulalongkorn Memorial Hospital. Bangkok: Faculty of Medicine, King ChulalongkornMemorial Hospital; 2009. (in Thai).

Kotnara I, Kittiwatanapaisan W, Rungreangkulkij S. Prevalence and predictive factors of depression among secondary school students: Sex difference analysis. Journal of Nursing Science & Health 2015;38(1):63-72. (in Thai).

Robkob W, Skulphan S, Sethabouppha H. Depression, alcohol drinking behaviors, and suicidal risks of adolescents. Journal of Nursing 2018; 45(4):144-58. (in Thai).

Loitrakul M, Sukanit P. Ramathibodi Psychiatry. 3rd ed. Bangkok: Department of Psychiatry Ramathibodi Hospital Mahidol University; 2015. (in Thai).

Department of Mental Health, Ministry of Public Health. Annual Report Department of Mental Health Fiscal [Internet]. 2016 [cited 2021 Dec 15]. Available from https: // www. dmh.go.th/ report/ dmh/ rpt_year/ view.asp?id=410.

Rudolph KD. The interpersonal context of adolescent depression. In S. NolenHoek- sema & L. M. Hilt (Eds.), Handbook of depression in adolescents (pp. 376-418). New York: Routledge; 2012.

Goleman, D. Social intelligence: The new science of human relationships. New York: Bantam Books; 2006.

Suriyo T. The effect of a group counseling program to enhance the social intelligence of adolescents at risk as depression [Master thesis]. Srinakharinwirot University; 2016. (in Thai).

Resenick, MD et al. Protecting adolescents from harm: Findings from the National longitudinal study on adolescent health. The Journal of the American Medication Association; 1997;278(10): 823-32.

Buhrmester, D. Intimacy of friendship, interpersonal competence, and adjustment during preadolescence and adolescence. Child Development 1990;61(4):1101-11.

Chanralaksana N, Thaweekoon T, Sangon S. Factors predicting depression in secondary school students. The Journal of psychiatric Nursing and mental health 2015;29(2):28-143. (in Thai).

Anuroj K, Pityaratstian N. Validity and reliability of cyber-aggression perpetration and victimization scale:thai version. Journal of the Psychiatric Association of Thailand 2019; 64(1): 45-60. (in Thai).

Surat P. Causes and fects of cyber bullying: a case study of thai youths who are bullied. Journal of Suvarnabhumi Institute of Technology 2018; 4(1):260-73. (in Thai).

Deenamjued R, Kulachai W. Antecedents of cyber bullying behaviors of high school students [Master thesis]. Burapha university; 2017. (in Thai).

Jantharasiriphut N, Huansuriya T. The relationship between frequency of cyberbullying and victim’s coping: the mediating effects of anonymous bully [Master thesis]. Chulalongkorn university; 2017. (in Thai).

Sunsaksawat N, Hengudomsub P, Vatanasin D, Pratoomsri W. Factors influencing depression among mothers of pregnant teenage daughters. Journal of Boromarajonani College of Nursing, Bangkok 2017; 33(3):47-58. (in Thai).

Polit, D. F., Beck, C. T. Nursing research: Generating and assessing evidence for nursing practice (10th ed.). Philadelphia: Lippincott Williams & Wilkins; 2017.

Lemeshow,S,. Howmer Jr, D. W., Klar, J., & Lwanga,S. K. (1990). Adequacy of sample size in health studies. West Sussex: John Wiley & Sons.

Trangkasombat U, Lapunsap W, Havanon P. Center for epidemiologic studies-depression scale (CES-D). Journal of the Psychiatric Association of Thailand 1997;42(1):168-70. (in Thai).

Rujiradarporn N, Trangkasombat U. Depression in senior high school students in bangkok metropolis. Journal Psychiatr Assoc Thailand 2009; 54(4):337-45. (in Thai).

Tongsuebsai K. Development of social intelligence scale for undergraduate students [Master thesis]. Chulalongkorn university; 2009. (in Thai).

Nopparat P. Factors related to sexual risk behaviors among high school and vocational students [Master thesis]. Chiangmai: Chiangmai University; 2000. (in Thai).

Krasaesat W, Deoisres W, Watchrasin C. Relationships between famity rituals, family connectedness and adolescents’ resilience in ayutthayaa province. Journal of Public Health, Burapha University 2011; 6(2):59-68. (in Thai).

Nateethan M. Factors influencing depression of adolescents in mueang district chiang mai province [Master thesis]. Chiangmai University; 2003. (in Thai).

Rangsingh C. Predictive factor that influence depression amongst secondary school students regional education office chiang rai province. Journal of Nursing Council 2011; 26(2):42-56. (in Thai).

Shapka, J. D., & Maghsoudi, R. Examining the validity and reliability of the cyber-aggression and cyber-victimization scale. Comput Hum Behav 2017;6: 10-7.

Roesch, S. C., & Rowley, A. A. Evaluating and developing a multidimensional. Journal of Personality Assessment 2005; 85:188-96.

Department of Mental Health, Ministry of Public Health. (2020). Guidelines for mental rehabilitation in the situation of the Coronavirus Disease 2019 (COVID-19). Nonthaburi: A-one Printing Limited Partnership.

UNICEF. (2020). Social Impact Assessment Report from the COVID-19 Epidemic in Thailand. [cited 2020 May 1]. Availabe from: https:// www.unicef.org /thailand /th/reports.

Samarksavee N, Sangon S. Factors associated with depression in nursing students. Journal of Psychiatric Nursing and Mental Health 2015;29(3): 11-27. (in Thai).

Dogan T, Cetin B. The investigation of relationship between social intelligence, depression and some variables at university students. Journal of Human Sciences; 2008:5(2).

Sachin K, Hengudomsub P, Vatanasin D. Factors influencing mental health status of professional nurses in a private hospital. Journal of Health and Nursing Research 2019;35(3):98-111. (in Thai).



How to Cite

Maneenil A, Vatanasin D, Hengudomsub P. Factors Influencing Depression among Late Adolescents. JHNR [Internet]. 2022 Apr. 1 [cited 2023 Feb. 5];38(1):293-307. Available from: https://he01.tci-thaijo.org/index.php/bcnbangkok/article/view/245564



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