Dergiler / Journal of Basic and Clinical Health Sciences / 2023 / Cilt: 7 - Sayı: 1

Assessment of Sociodemographic Risk Factors For Juvenile Delinquent Boys

Sayfa
26–34
Yayın Tarihi
2023-01-31
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

These results may be useful in the development of prevention and intervention programs for JD.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Objective: Juvenile delinquency (JD) is increasing day by day and it is more common in males.
📊
Temel Bulgular & Veri:Method: Juvenile delinquents (JDs) consisted of 138 boys and sociodemographic data of them were obtained retrospectively.
💡
Sonuç & Katkı:These results may be useful in the development of prevention and intervention programs for JD.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:juvenile delinquency · sociodemographics · risk factors

Abstract

Objective: Juvenile delinquency (JD) is increasing day by day and it is more common in males. Many risk factors for JD have been identified. The aim of this study was to determine the sociodemographic characteristics of male JDs and to determine potential predictive effects of sociodemographic factors on JD. Method: Juvenile delinquents (JDs) consisted of 138 boys and sociodemographic data of them were obtained retrospectively. The control group (CG) consisted of 133 boys of similar age to JDs, and the participants were asked to fill out sociodemographic data. The potential predictive effect of sociodemographic factors were evaluated by linear logistic regression analysis. Results: The families of the 94 JDs had low socioeconomic level, and the families of the103 control cases had medium-high socioeconomic level. It was determined that 46% of the mothers of JDs and 18% of their fathers were illiterate, while in CG, these rates were 6% and 0.8%, respectively. The school dropout rate was 0% in CG and 32% in JDs. In addition, 26% of the JDs were found to have another individual committed crime in family. This rate was 3% in CG. It was showed that school dropout, low school achievement, taking disciplinary punishment, low family income and the presence of an individual committed crime in family had potential predictive effect on JD. Conclusions: The results of the study have showed that there is an association between JD and sociodemographic characteristics. These results may be useful in the development of prevention and intervention programs for JD.

🔖

Bu Makaleye Atıf Yap

KARATOPRAK, S., AYAZ, N. (2023). Assessment of Sociodemographic Risk Factors For Juvenile Delinquent Boys. Journal of Basic and Clinical Health Sciences, Cilt: 7 - Sayı: 1, 26–34. https://ajindex.com/articles/879798

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (12)

  1. Ozen S, Ece A, Oto R, Tirasci Y, Goren S. Juvenile delinquency in a developing country: A province example in Turkey. Int J Law Psychiatry. 2005;28(4):430–41. https://doi.org/10.1016/j.ijlp.2004.05.001 Güvenlik Birimine Gelen veya Getirilen Çocuk İstatistikleri, 2015-2019 [Internet]. 2020. Available from: https://data.tuik.gov.tr/Bulten/Index?p=Juvenile-Statistics-Received-Into-Security-Unit-2015-2019-33632
  2. Beşer NG, Çam O. Suça yatkın ergenlerde olumlu kişilerarası ilişkiler geliştirme programmının etkinliğinin incelenmesi. Anadolu Psikiyatr Derg. 2009;(10):226–32. Assink M, van der Put CE, Hoeve M, de Vries SLA, Stams GJJM, Oort FJ. Risk factors for persistent delinquent behavior among juveniles: A meta-analytic review. Clin Psychol Rev [Internet]. 2015;42:47–61.
  3. Loeber R, Slot W, Stouthamer-Loeber M. A cumulative developmental model of risk and promotive factors. In: Loeber R, Slot NW, Laan PH Van der, Hoeve M, editors. Tomorrow’s Criminals. 2008. p. 151–80. Shader M. Risk Factors for Delinquency: An Overview What Is a Risk Factor ? Washington, DC; 2000.
  4. Comanor WSC, PHillips L. The Impact of Income And Family Structure On Delinquency. J Appl Econ. 2002;V(2):209–32.
  5. Kalb G, Williams J. Delinquency and gender. Appl Econ Lett. 2003;10(7):425–9. https://doi.org/10.1080/0003684032000066822
  6. Avcil S, Avcil M, Yılmaz N. Sociodemographic and clinical characteristics of juvenile delinquents. Cukurova Med J. 2018;43(4):853–61. https://doi.org/10.17826/cumj.350976
  7. Guler G, Sungur MA, Kutuk MO. Evaluation of Clinical and Sociodemographic Characteristics of the Children Dragged to Crime. Bull Leg Med. 2018;23(1):39–46.
  8. Cilem B, Serkan K, Sevda H, Cekin YB, Sema K. Forensic psychiatric evaluation and reports of juvenile pushed to crime: A two-year retrospective chart review. Klin Psikiyatr Derg. 2021;24(2):217–27. https://doi.org/10.5505/kpd.2020.02360
  9. Ogut O, Dursun Y, Gülen Şişmanlar Ş, Coşkun A, Sari U. Evaluation of sociodemographic characteristics, perceived family functioning and parental attitudes in delinquent children. Anadolu Psikiyatr Derg. 2020;21(5):531–6.
  10. Thompson K, Morris R. Characteristics of Juvenile Delinquents. In: C TK, J. MR, editors. Juvenile Delinquency and Disability. 2016.
  11. Weng X, Ran MS, Chui WH. Juvenile delinquency in Chinese adolescents: An ecological review of the literature. Aggress Violent Behav [Internet]. 2016;31:26–36.
  12. Thompson K, Morris R. Predicting recidivism among juvenile delinquents: comparison of risk factors for male and