Introduction
Delinquency and other problem behaviors are rather common amongst adolescents (1,2). Delinquency encompasses a wide range of antisocial acts which are illegal or lawfully interpreted as constituting delinquency, including theft, violence and destruction of property (3). The prevalence of delinquency amongst adolescents varies between 6 and 18 % in Europe and the United States of America (4,5). Unlike assumed in the public debate, the prevalence of delinquency has not increased internationally in past decades, but on the contrary, it may have even decreased (6-9).
Research has identified several risk factors for delinquency, including male gender (10), genetic factors (10), lower intellectual ability (11), aggressiveness (1), mental health disorders (12,13), exposure to maltreatment in childhood (14,15) and delinquent peers (16). In addition, low socioeconomic status (SES) increases the risk for delinquency. SES is an aggregate concept comprising resource-based (such as material and social resources) and prestige-based (individual’s rank or status) indicators of socioeconomic position, which can be measured at both individual, household and neighborhood levels (17). It can be assessed through individual measures, such as education, income or occupation (18,19), but also through composite measures that provide an overall index of socioeconomic level. Delinquency has been observed to be more common amongst adolescents living in non-intact families than amongst those living in intact families (2,20-24). Delinquency has also been associated with low level of parental education (20-22,24) and parental unemployment (25,26).
Scientific evidence suggests that socioeconomic disparities have increased in several areas of adolescent health and well-being in the Nordic countries in past decades. Torikka et al. (27,28) found that socioeconomic differences in the prevalence of depression, frequent alcohol use and drunkenness increased amongst Finnish adolescents from 2000 to 2011. Socioeconomic disparities also increased in self-rated health amongst Swedish adolescents between 2002 and 2014 (29). In a Finnish time series study (30), the overall prevalence of bullying at school varied only slightly between 2000 and 2015, but both bullying perpetration and victimization increased amongst adolescents with most socioeconomic adversities. Therefore, although the overall prevalence of delinquency has not increased, this may not be true in all socioeconomic groups. To the best of our knowledge, however, no studies have so far investigated changes in delinquency amongst adolescents according to the SES.
Delinquency has negative consequences for the individual, being associated with school dropout (31), substance abuse (32), mental health disorders (33) and criminality later in life (1). In addition to individual suffering, delinquent behavior has far-reaching impacts on society, impairing perceived safety in the community (34) and inflicting significant costs on the public economy (35). In order to prevent delinquency, scientific knowledge on its risk factors and trends is essential. The aim of this study was to examine changes in delinquency according to SES amongst Finnish adolescents between 2000 and 2015. Our research questions were:
RQ1. Did the prevalence of delinquency change amongst Finnish adolescents between 2000 and 2015?
RQ2. Was delinquency associated with socioeconomic adversities (low parental education, not living with both parents and parental unemployment in the past year)?
RQ3. Were the changes in delinquency over time similar across socioeconomic groups?
Methods
Data and participants
The School Health Promotion Study is a nationwide anonymous classroom survey that examines the health, health behavior and school experiences of Finnish adolescents. The survey has been conducted biennially since 1996 amongst 8thand 9thgraders with pooled two-year data. The survey is sent to every municipality in Finland, and the municipalities decide if the schools in their area participate in the survey. This study comprises the responses of 8thand 9th graders between 2000 and 2015. Altogether, 761,278 (50,404-109,127 biennially) 8thand 9thgraders participated in the survey. The 8thgraders were 14-15 years old and the 9thgraders were 15-16 years old at the time of the surveys. The biennial cohorts covered 43-82 % of the whole age cohort of the country. The study was approved by the ethics committee of Pirkanmaa Hospital District and the National Institute of Health and Welfare.
Measures
The self-report questions on delinquent behavior were adapted from the Finnish Self-Report Delinquency Study questionnaire, which is a modified version of the International Self-Report Delinquency Study (ISRD) instrument (36). The ISRD instrument has been shown to possess adequate reliability in test-retest studies (37). Delinquent behavior was elicited with five questions: ‘During the past 12 months have you 1) drawn tags or graffiti on walls or elsewhere?; 2) deliberately damaged or destroyed school property or the school building; 3) deliberately damaged or destroyed other property; 4) stolen from a shop or a stall; 5) beaten someone up?’ The questions remained constant over the study years. Response options to all questions were no (= 0), once (= 1), 2-4 times (= 2) and more than 4 times (= 3). A sum score ranging between 0 and 15 was formed of the five questions, in which a value of 4 or more (representing the 90thpercentile) was used to indicate delinquency. The 90thpercentile cut-off point has been used previously in the scientific literature (38). A considerable benefit of using a relative measure, as opposed to an absolute measure, is that it takes into account the varying prevalence of delinquency across different countries and cultures.
The socioeconomic variables recorded were parental education, parental unemployment in the past year and family structure. Parental education was elicited as follows: ‘What is the highest educational qualification your father/mother has achieved?’ The response options in the 2000 questionnaire were: ‘basic school/vocational school/high school and/or vocational school/university or polytechnic’. The response options varied a little over time: for instance, in the 2013 questionnaire there was a response option ‘no education’, which was removed again in the 2015 questionnaire. For the analyses, parental education was dichotomized as parental basic education only (including the response alternative ‘no education’) versus other. Parental unemployment was elicited as follows: ‘Have your parents been unemployed or laid off work during the past year?’ The response alternatives were the same in all questionnaires: ‘neither/one parent/both parents’. The family structure was elicited as follows: ‘My family consists of...’. The response options in the 2000 questionnaire were: ‘mother and father/mother and stepfather/father and stepmother/mother only/father only/spouse/other caregiver’. The response options varied slightly over time. For the analyses, family structure was dichotomized as living with both parents versus other. In this paper, all three variables are referred to as socioeconomic adversities. In addition, a variable ‘cumulative socioeconomic adversity’ was created, in which all three socioeconomic variables were combined: a score of 0 stood for having no socioeconomic adversities (living with both parents, no parental unemployment and at least one parent with higher than basic education) and a score of 4 stood for having all socioeconomic adversities studied (not living with both parents, both parents unemployed, both parents with basic education only). The prevalence of socioeconomic adversities is presented elsewhere (30).
Statistical analyses
All statistical analyses were conducted using SPSS software (Version 24). Distributions of delinquency and socioeconomic adversities for both sexes during the time period 2000-2015 are presented in Table1. Bivariate associations were studied using binomial logistic regression results shown as odds ratios with 95 % confidence intervals. Delinquency was entered as dependent variable. In the first model, categorical time periods (2000-2001, 2002-2003, 2004-2005, 2006-2007, 2008-2009, 2010-2011, 2012-2013, 2014-2015) were entered as independent factors using the time period 2000-2001 as a reference category. In the second model, family structure (living with both parents/other), parental unemployment in the past year (neither/one parent/both parents) and parental education (both parents basic education only/other) were entered as independent factors one at a time. In the third model, the file was split according to categorical time periods and cumulative socioeconomic adversity was entered as an independent factor.
TABLE 1.
Delinquency and socioeconomic adversities among Finnish boys and girls in the 8thand 9thgrades of comprehensive school.
| Boys (n= 381,527) | Girls (n= 376,814) | p | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Age (Mean (SD)) | 15.4 (0.7) | 15.3 (0.6) | < 0.001 | ||||||
| Delinquency | < 0.001 | ||||||||
| Yes | 11.0 | 6.4 | |||||||
| No | 81.2 | 87.0 | |||||||
| Missing | 7.7 | 6.6 | |||||||
| Lives with both parents | < 0.001 | ||||||||
| Yes | 74.4 | 73.7 | |||||||
| No | 23.3 | 25.1 | |||||||
| Missing | 2.3 | 1.2 | |||||||
| Both parents only basic education | < 0.001 | ||||||||
| Yes | 5.6 | 5.9 | |||||||
| No | 86.8 | 87.5 | |||||||
| Missing | 7.6 | 6.6 | |||||||
| Parental unemployment past year | < 0.001 | ||||||||
| No | 70.9 | 69.9 | |||||||
| One parent | 23.6 | 25.6 | |||||||
| Both parents | 3.2 | 3.3 | |||||||
| Missing | 2.3 | 1.2 | |||||||
| 2002-2003 | 2004-2005 | 2006-2007 | 2008-2009 | 2010-2011 | 2012-2013 | 2014-2015 | |||
|---|---|---|---|---|---|---|---|---|---|
| Boys | 0.6 (0.6-0.7) | 0.5 (0.5-0.5) | 0.5 (0.4-0.5) | 0.5 (0.5-0.6) | 0.5 (0.5-0.6) | 0.5 (0.5-0.6) | 0.4 (0.4-0.5) | ||
| Girls | 0.6 (0.5-0.6) | 0.5 (0.4-0.5) | 0.4 (0.4-0.4) | 0.6 (0.5-0.6) | 0.6 (0.6-0.7) | 0.5 (0.5-0.6) | 0.3 (0.3-0.4) | ||
| Boys | Girls | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Family structure | |||||||||
| Both parents | ref | ref | |||||||
| Not living with both parents | 1.9 (1.9-1.9) | 1.9 (1.8-1.9) | |||||||
| Both parents with low education | |||||||||
| No | ref | ref | |||||||
| Yes | 1.7 (1.6-1.8) | 1.5 (1.4-1.6) | |||||||
| Parental unemployment | |||||||||
| Neither parent | ref | ref | |||||||
| One parent | 1.5 (1.5-1.5) | 1.6 (1.6-1.7) | |||||||
| Both parents | 3.9 (3.8-4.1) | 3.2 (3.0-3.4) | |||||||
| 2000-2001 | 2002-2003 | 2004-2005 | 2006-2007 | 2008-2009 | 2010-2011 | 2012-2013 | 2014-2015 | p* | |
|---|---|---|---|---|---|---|---|---|---|
| Boys | |||||||||
| Number of sociodemographic adversities | |||||||||
| 0 | 9.1 (1,851/20,280) | 10.4 (2,792/26,737) | 8.1 (2,289/28,427) | 7.3 (2,230/30,572) | 9.0 (2,640/29,479) | 8.7 (2,291/26,408) | 7.9 (1,764/22,457) | 5.7 (642/11,238) | < 0.001 |
| 1 | 12.2 (1,551/12,728) | 14.8 (2,183/14,775) | 11.0 (1,676/15,212) | 10.6 (1,551/14,605) | 12.3 (1,841/14,917) | 12.4 (1,885/15,241) | 11.3 (1,700/15,016) | 9.4 (773/8,195) | < 0.001 |
| 2 | 18.5 (869/4,696) | 19.9 (998/5,005) | 15.6 (762/4,874) | 17.7 (791/4,478) | 18.2 (851/4,664) | 18.2 (923/5,067) | 17.1 (941/5,495) | 12.5 (394/3,158) | < 0.001 |
| 3 | 26.9 (242/898) | 26.7 (228/854) | 26.2 (225/859) | 31.0 (221/714) | 30.0 (200/634) | 29.6 (262/886) | 26.0 (230/886) | 24.0 (129/538) | < 0.001 |
| 4 | 46.4 (51/110) | 63.1 (82/130) | 58.0 (69/119) | 72.7 (96/132) | 74.1 (106/143) | 67.6 (119/176) | 64.7 (145/224) | 73.1 (144/197) | < 0.001 |
| Girls | |||||||||
| Number of sociodemographic adversities | |||||||||
| 0 | 5.0 (972/19,334) | 5.2 (1,291/24,946) | 4.1 (1,110/26,882) | 3.8 (1,121/29,410) | 5.1 (1,460/28,625) | 5.4 (1,375/25,437) | 4.2 (913/21,970) | 2.6 (290/11,269) | < 0.001 |
| 1 | 7.1 (907/12,767) | 7.5 (1,098/14,563) | 6.3 (959/15,168) | 6.1 (942/15,445) | 7.9 (1,249/15,846) | 8.8 (1,371/15,644) | 6.9 (1,051/15,316) | 4.3 (366/8,577) | < 0.001 |
| 2 | 10.4 (542/5,188) | 11.0 (591/5,360) | 8.2 (465/5,662) | 9.0 (456/5,062) | 10.4 (529/5,085) | 12.8 (741/5,785) | 10.0 (615/104) | 6.8 (243/3,556) | < 0.001 |
| 3 | 14.2 (137/968) | 14.2 (136/960) | 14.6 (129/885) | 16.0 (120/749) | 18.1 (138/764) | 16.8 (181/1,078) | 14.9 (159/1,068) | 9.0 (59/656) | < 0.001 |
| 4 | 22.4 (19/85) | 25.8 (24/93) | 38.2 (34/89) | 37.8 (37/98) | 51.0 (52/102) | 47.9 (78/163) | 40.1 (69/172) | 51.1 (47/92) | < 0.001 |
| 2000-2001 | 2002-2003 | 2004-2005 | 2006-2007 | 2008-2009 | 2010-2011 | 2012-2013 | 2014-2015 | |
|---|---|---|---|---|---|---|---|---|
| Boys | ||||||||
| Number of sociodemographic adversities | ||||||||
| 1 | 1.3 (1.2-1.4) | 1.5 (1.4-1.6) | 1.4 (1.3-1.5) | 1.5 (1.4-1.6) | 1.4 (1.3-1.5) | 1.5 (1.4-1.6) | 1.5 (1.4–1.6) | 1.7 (1.5–1.9) |
| 2 | 1.9 (1.8-2.1) | 2.2 (2.0-2.3) | 2.1 (2.0-2.3) | 2.8 (2.5-3.0) | 2.3 (2.1-2.5) | 2.4 (2.2-2.6) | 2.4 (2.2–2.7) | 2.4 (2.1–2.7) |
| 3 | 3.0 (2.5-3.5) | 3.1 (2.7-3.7) | 4.1 (3.5-4.9) | 5.9 (5.0-7.0) | 4.6 (3.8-5.4) | 4.5 (3.9-5.3) | 4.2 (3.5–4.9) | 5.4 (4.3–6.7) |
| 4 | 6.6 (4.3-10.0) | 15.7 (10.9-22.7) | 17.2 (11.8-25.0) | 35.3 (23.8-52.3) | 31.8 (21.5-47.1) | 24.0 (17.2-33.4) | 23.3 (17.4–31.0) | 50.5 (35.9–71.0) |
| Girls | ||||||||
| Number of sociodemographic adversities | ||||||||
| 1 | 1.3 (1.2-1.5) | 1.5 (1.4-1.6) | 1.6 (1.4-1.7) | 1.6 (1.5-1.8) | 1.6 (1.5-1.7) | 1.7 (1.6-1.8) | 1.7 (1.6–1.9) | 1.7 (1.4–2.0) |
| 2 | 1.9 (1.7-2.1) | 2.3 (2.1-2.5) | 2.1 (1.9-2.3) | 2.5 (2.2-2.8) | 2,2 (2.0-2.4) | 2.6 (2.4-2.8) | 2.6 (2.3–2.9) | 2.8 (2.4–3.3) |
| 3 | 2.5 (2.0-3.0) | 3.0 (2.5-3.7) | 4.0 (3.3-4.8) | 4.8 (3.9-5.9) | 4.1 (3.4-5.0) | 3.6 (3.0-4.2) | 4.1 (11.5–21.5) | 3.8 (2.8–5.0) |
| 4 | 5.3 (3.0-9.2) | 6.3 (3.9-10.1) | 15.0 (9.7-23.2) | 16.0 (10.5-24.2) | 20.3 (13.6-30.2) | 15.9 (11.6-21.7) | 15.7 (11.5–21.5) | 40.8 (26.5–62.7) |