» Articles » PMID: 35927553

Childhood Individual and Family Modifiable Risk Factors for Criminal Conviction: a 7-year Cohort Study from Brazil

Abstract

Crime is a major public problem in low- and middle-income countries (LMICs) and its preventive measures could have great social impact. The extent to which multiple modifiable risk factors among children and families influence juvenile criminal conviction in an LMIC remains unexplored; however, it is necessary to identify prevention targets. This study examined the association between 22 modifiable individual and family exposures assessed in childhood (5-14 years, n = 2511) and criminal conviction at a 7-year follow-up (13-21 years, n = 1905, 76% retention rate) in a cohort of young people in Brazil. Population attributable risk fraction (PARF) was computed for significant risk factors. Criminal convictions were reported for 81 (4.3%) youths. Although most children living in poverty did not present criminal conviction (89%), poverty at baseline was the only modifiable risk factor significantly associated with crime (OR 4.14, 99.8% CI 1.38-12.46) with a PARF of 22.5% (95% CI 5.9-36.1%). It suggests that preventing children's exposure to poverty would reduce nearly a quarter of subsequent criminal convictions. These findings highlight the importance of poverty in criminal conviction, as it includes several deprivations and suggest that poverty eradication interventions during childhood may be crucial for reducing crime among Brazilian youth.

Citing Articles

Health, economic and social impacts of the Brazilian cash transfer program on the lives of its beneficiaries: a scoping review.

Magalhaes J, Ziebold C, Evans-Lacko S, Matijasevich A, Paula C BMC Public Health. 2024; 24(1):2818.

PMID: 39402474 PMC: 11476833. DOI: 10.1186/s12889-024-20046-2.


Life-course influences of poverty on violence and homicide: 30-year Brazilian birth cohort study.

Murray J, Esposti M, Loret de Mola C, Martins R, Smith A, Moffitt T Int J Epidemiol. 2024; 53(4).

PMID: 39123318 PMC: 11315650. DOI: 10.1093/ije/dyae103.

References
1.
Jaen-Varas D, Mari J, Asevedo E, Borschmann R, Diniz E, Ziebold C . The association between adolescent suicide rates and socioeconomic indicators in Brazil: a 10-year retrospective ecological study. Braz J Psychiatry. 2019; 41(5):389-395. PMC: 6796813. DOI: 10.1590/1516-4446-2018-0223. View

2.
Sheehan D, Lecrubier Y, Sheehan K, Amorim P, Janavs J, Weiller E . The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry. 1999; 59 Suppl 20:22-33;quiz 34-57. View

3.
Kirk D, Sampson R . Juvenile Arrest and Collateral Educational Damage in the Transition to Adulthood. Sociol Educ. 2014; 88(1):36-62. PMC: 4192649. DOI: 10.1177/0038040712448862. View

4.
Choi K, Stein M, Nishimi K, Ge T, Coleman J, Chen C . An Exposure-Wide and Mendelian Randomization Approach to Identifying Modifiable Factors for the Prevention of Depression. Am J Psychiatry. 2020; 177(10):944-954. PMC: 9361193. DOI: 10.1176/appi.ajp.2020.19111158. View

5.
Murray J, Shenderovich Y, Gardner F, Mikton C, Derzon J, Liu J . Risk Factors for Antisocial Behavior in Low- and Middle-Income Countries: A Systematic Review of Longitudinal Studies. Crime Justice. 2018; 47(1):255-364. PMC: 6176906. DOI: 10.1086/696590. View