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Correlates of conduct disorder among inmates of a Nigerian Borstal Institution

Child and Adolescent Psychiatry and Mental Health volume 10, Article number: 13 (2016) Cite this article

Abstract

Background

Juvenile delinquency has become a significant global problem. Conduct disorder (CD), among other psychiatric disorders, has assumed prominence in its association with juvenile offending as well as criminality in adulthood. Despite this knowledge, little attention is given to this problem especially as it affects adjudicated adolescent offenders in developing countries.

Aim

To examine the prevalence and correlates of CD among incarcerated adolescents in a Nigerian Borstal Institution and to investigate its independent predictors.

Methods

A cross-sectional descriptive study was conducted among 147 inmates of a Borstal Institution in Abeokuta, South Western Nigeria. A self-administered questionnaire and interviewer administered MINI-KID were used. The associations between conduct disorder and socio demographic as well as forensic variables were investigated using Chi square statistics while logistic regression was used to predict CD.

Results

Out of 147 respondents, 83 (56.5 %) met the criteria for CD with a mean age 17.1 ± 1.1. Of the socio-demographic and forensic variables investigated, number of siblings (OR 4. 630; p = 0.010; 95 % CI 1.433–14.964) and previous history of incarceration (OR 4. 99; p = 0.043; 95 % CI 1.048–23.846) emerged as independent predictors of CD.

Conclusions

This study recorded a high prevalence of conduct disorder among a sample of incarcerated juvenile offenders. The association of conduct disorder with large family size and recidivism highlights the need for comprehensive early interventions focused on improving parental supervision in large families as well as other re-training programs aimed at reducing juvenile re-offending.

Background

Parents had long worried over what to do with children considered to be ‘beyond parental control’ several decades before conduct disorder (CD) became a medical diagnosis in late sixties [1]. It has now become one of the most frequently diagnosed psychiatric condition in present-day child psychiatry [2].

Conduct disorder is a complicated group of behavioral problems in children and adolescents, which is characterized by “repetitive and persistent pattern, in which the basic rights of others or major age-appropriate societal norms or rules are violated” [2, 3]. According to DSM IV, CD has been described as a disorder often characterized by a pervasive and persistent pattern of aggressive, deceptive, and destructive behavior that usually begins in childhood or adolescence [2, 3]. Behaviors exhibited by children with CD include aggression towards people or animals; destruction of properties; deceitfulness; drug and alcohol use, theft and other delinquent/disorderly behaviors [3].

The two major classification systems, i.e., ICD and DSM, require the presence of at least 3 of 15 symptoms over 6 months duration for diagnosis, and it is commoner in males than female [2, 3]. DSM has an additional category of disruptive behavioral disorder, ‘oppositional defiant disorder’ (ODD), for individuals with persistent hostility, defiant, provocative and disruptive behavior which is out of the normal range, but without aggressiveness and antisocial behavior [2]. Nevertheless, this current study focuses only on CD and its correlates.

Several cross-national studies have suggested that more than 60 % of youths in the detention of juvenile justice and 50–90 % of children and adolescents in various residential/foster care [4–7], have a diagnosable psychiatric disorder compared to 15–25 % of the general population [2–4, 8]. Psychiatric disorders ranging from mood disorders, psychosis, anxiety disorders, ADHD, disruptive behavioral disorder and substance abuse disorder had been widely described in these settings. Of these psychiatric disorders, CD commands some level of prominence in not only showing an association with offending but also predicting adult criminality later in life and persistence of other co-morbid mental disorders [9, 10]. Thus, as there is much evidence that CD is a precursor of criminality (and antisocial personality disorder), there is a strong need for interventions in childhood and adolescence [9–11].

Authors have suggested that the prevalence of CD is particularly high in forensic settings than in the general population [2–4]. A prevalence rate of 41 % was reported among 1829 young offenders in the United States, compared to (5–16 %) in the general population [2, 4]. A systematic review and meta-regression analysis of 25 surveys across Europe and America also revealed a prevalence rate of 52.8 % [7]. In the United Arab Emirates, a prevalence of 24.7 % was reported among 72 incarcerated offenders compared to the 7 % found among school children [12, 13], whereas, in Brazil, 77 % prevalence rate was reported among 116 juvenile delinquents [14]. Although, data from Africa are still very scanty, a study by Adegunloye et al. [5] reported a 60 % prevalence rate among 58 incarcerated juveniles in the North-central part of Nigeria, compared to 15.8 % prevalence rate reported among a sample of Nigerian school children [8].

On a psychoanalytical plane, this behavioral disorder has been ascribed to “unresolved conflicts between the psychic elements of id, ego and super-ego,” or, an expression of a generally “disturbed” lifestyle [15]. Currently, CD has been suggested to arise from a complex combination of risk factors which include biological and environmental influences such as parental criminality, defective rearing, physical abuse and psychological distress. Other factors consistently associated with CD in many studies, including those carried out among non-offenders are low socio-economic status, family dysfunction [5, 12, 14, 17], large family [16, 17], as well as decline in frequency of religious practice [14, 18]. Drug related problems have also been implicated in many studies [4, 8, 14, 19, 20]. Whilst increase in frequency of religious practice was found to be associated with a reduced risk of offending [14, 18], low socio-economic status, family dysfunction, large family, amongst others were associated with increased risk [2, 3, 12, 14, 16, 17]. With the exception of large family size which may be a function of polygamous family setting often practiced in Africa and the Arabian countries [5, 12, 13, 17], most studies from Europe and America agree with the few African studies on the association of these risk factors and CD [4, 6, 7, 20].

The consequences of this disorder often have far-reaching consequences on the lives of these individuals, their families and the community at large [2, 3]. Apart from the social costs of CD at the individual, family and community levels, CD has a substantial economic impact, manifesting in terms of utilization of publicly resourced health and social services, as well as the judicial and penal systems [2, 3].

In spite of the significant association of CD with offending behavior and its socio-economic impact [3, 9, 10], there remains a dearth of knowledge on its prevalence and common risk factors in Nigeria [5]. This has a significant consequence on Mental Health services available for this group of people as well as service utilization by the parent of affected individuals [5]. On one hand, CD, which presents with offending as alluded to earlier, is often viewed by the government as more of a violation of societal norms and criminal acts than a mental illness that require medical attention. Consequently, punishment rather than quality mental health service is offered as remedy. In support of this claim, a report of a study by the committee on the right of the child revealed that, over two-third of the juvenile offenders who entered the juvenile justice system via the police suffered both physical and verbal abuse. About 45.9 % of those already within the system complained of being subjected to mental and physical torture, while another 30 and 31 % respectively reported being denied food and long detention period without trial [21]. This ultimately exposed them to more dangerous vices, rather than addressing their needs, thus strengthening the cycle of recidivism [15, 20].

On the part of the caregivers/parents, the dearth of research has continued to bread ignorance and poor service utilization [5, 22]. Faulty perception that children do not suffer from mental illness; fear of expression because of punishment and the continuing belief in spiritual possession with its attendant preference for spiritual/alternative method of treatment, are all products of ignorance. As a result, parents of affected children do not seek help [22]. They ultimately label these children, “Beyond parental control” and so either abandon them or send them to some “government correctional facilities” where they meet with more criminally minded children and learn more dangerous vices [15, 21].

Understanding CD as one of the major causes of delinquency has gross implication for the socio-legal treatment/rehabilitation of juvenile offenders. In addition, it will assist in health care planning and formulation of interventions towards prevention of delinquency as well as breaking the cycle of recidivism [19, 20]. As a step toward this, the current study sought to examine the prevalence and correlates of CD using a slightly larger sample size than was used previously in forensic settings in Nigeria [5, 23] and to investigate which of these correlates predict CD.

Methods

Setting of the study

A cross-sectional descriptive study was conducted among the in-mates of the Borstal Institution in Abeokuta, South Western Nigeria. The Borstal Institution which was established in 1984 is one of the three Borstal Institutions in Nigeria. The other two are in Ilorin and Kaduna both in the northern part of Nigeria. This facility is under the management of the Nigerian Prison Service, and is run by a senior prison officer who serves as Principal. Though a restrictive environment, it operates as a correctional facility with emphasis on educational and vocational training for offenders incarcerated therein. However, the available facilities are inadequate to effectively meet the needs of these inmate.

Recruitment strategy

One hundred and ninety (190) in-mates were met in the institution at the time of study. Of these, 20 were already above 18 years as at their last birthday and so were excluded from the study because of the suitability of the Mini-Kid instrument [24]. The remaining 170 were gathered and the study and its purpose was explained to them. Six (6) of the remaining 170 in-mates refused to give their consent, another 16 were further excluded due to communication problems and only 148 in-mate who agreed to participate were finally interviewed.

Study design and instruments

This is a cross-sectional descriptive study using two sets of instruments: The socio-demographic questionnaire which was designed by the researcher based on the previous studies [4, 5, 23] and Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID).

MINI-KID is a structured clinical diagnostic interview designed to assess the existence of current ICD-10 and DSM-IV mental disorders in children and adolescents in a comprehensive and concise way [24]. It has been used in Nigeria by Adegunloye [5]. It is organized in diagnostic sections or modules for various psychiatric disorders such as psychotic disorders, affective disorders, CD etc. CD is coded with “P” and it has three parts; the P1 which is the screening question that asks whether there has been any complaint about the respondent, either from his teachers, friends, or parents. It is only when the response to P1 is “YES” that the interviewer will proceed to the next part. The second part, i.e., P2 is the main part of the module and has fifteen (15) questions, itemized “a–o”. This part of conduct disorder module asks question about the behaviors needed to make a diagnosis of conduct disorder. The last part which is coded P3 has only one (1) question. This part asks whether the behaviors elicited in P2 has caused a big problem either at school, home, within the family or friends. The interviewer is expected to circle (code) either “YES” or “NO” according to the response of the person being interviewed. To meet the criteria for conduct disorder, three (3) or more questions must be coded “YES” in P2, and P3 must also be coded “YES”.

Both instruments were translated into Yoruba (the predominant language in the south-western Nigeria). The socio-demographic section was self-administered, while the MINI-KID was administered by the researcher. The socio-demographic questionnaire was administered in 1 day. Each of the participants was given a number corresponding to the number on his questionnaire. This was done in order to be able to combine the two parts of the questionnaire during collation. The interview was not conducted every day, because of other activities on their schedule.

Ethical approval

Ethical approval was obtained from the Health Research Ethics Committee of the Neuropsychiatric Hospital, Aro, Abeokuta, Nigeria. Permission to conduct the research was also sought from the authorities of the Nigeria Prison Service and a written consent was obtained from every respondent in accordance with the state law after explaining the whole procedure as well as the purpose of the study.

Data analysis

The statistical analysis was done using Statistical Package for Social Sciences (SPSS) for window-version 16.0. Frequency tables were used for descriptive statistics and cross tabulations for relationship between variables. The associations between Conduct disorder and nominal variables such as religious participation, parental marital status, etc., were investigated using Chi square statistics. The variables that were significantly associated with CD on bivariate analysis were further entered into stepwise binary logistic regression analysis with backward elimination with the presence or absence of CD as the dependent variable. A p value of less than 0.05 was accepted as the level of statistical significance.

Results

One hundred and forty-eight inmates participated in the study. Of the 148 questionnaires administered, one was excluded from analysis due to inadvertent loss of a page during collation. A total number of 147 questionnaire booklets were finally analyzed.

Socio-demographic characteristics (Table 1)

All the participants were within the age range of 14–18 years. The mean age of the participants in years was 17.1 (SD 1.1). Majority of the respondents were from the main ethnic group in the part of the country in which the study was conducted (Yoruba ethnic group), representing 77.6 % of the total number of the participants. Christianity was the predominant religion (58.2 %) followed by Islam (40.1 %). More participants (58.5 %) practiced their religion less frequently, of the 147 in-mates. The highest level of education attained by the participant was the Senior Secondary School Certificate and only a quarter (25.2 %) of them were educated up to this level. Only 96 (65.3 %) of the participant reported that both of their parents are alive, of these, 63 (65 %) were divorced/separated, 7 (7.3 %) were living apart but still married/never married, while 26 (27.1 %) were married and living together. One hundred and twenty-one (82.3 %) of the in-mates grew up with a single parent or relatives and 24.5 % had been previously remanded.

Table 1 Socio-demographic characteristics
Full size table

Prevalence of conduct disorder (Table 1)

Based on the diagnostic criteria of MINI- KID which requires three (3) or more questions to be coded “YES” in P2, and P3, eighty-three of the one hundred and forty-seven respondents met the criteria for CD (56.5 %) while the remaining sixty-four (43.5 %) did not.

Socio-demographic characteristics and CD (Table 2)

Majority of those who met the criteria for conduct disorder were 17 years and above (χ 2 = 4.164, p = 0.041). Other variables that have significant relationships with CD include; family setting (χ 2 = 5.276, p = 0.022); number of siblings (χ 2 = 6.812, p = 0.009); parents’ marital status (χ 2 = 14.668, p < 0.01); who brought the participant up (χ 2 = 17.812, p < 0.001); age at parental loss (χ 2 = 4.362, p = 0.037) and previous history of incarceration (χ 2 = 8.812, p = 0.003).

Table 2 Socio-demographic profile and conduct disorder
Full size table

Predictors of conduct disorder on multivariate binary logistic regression analysis (Table 3: The first and the last step of the model)

In the multivariate logistic regression to determine which of the significant variables from bivariate analysis would independently predict CD: age range, ‘who brought the participant up’, family setting, number of siblings, parents’ marital status, age at parental loss and previous history of incarceration were included into the model. The first variable to drop out of the model was ‘who brought the participant up’ while variables such as age, family setting, parents’ marital status, age at parental loss did not significantly add to the prediction of CD. Two independent predictor variables, namely: number of siblings (OR 4. 630; p = 0.010; 95 % CI 1.433–14.964) and previous history of incarceration (OR 4. 99; p = 0.043; 95 % CI 1.048–23.846) were produced by the regression model. These two independent predictors explain 23.6 % of the variance in prevalence of CD (Nagelkerke R2 = 0.236).

Table 3 Predictors of conduct disorder as confirmed by multiple logistic regression analysis
Full size table

Discussion

All the one hundred and forty-seven (147) participants were males, which is a direct consequence of the single-sex (only males) Borstal care system being practiced currently in Nigeria [5, 23], unlike what obtains in other parts of the world where there are facilities for both sexes [4, 7, 14]. The mean age of 17.1 ± 1.1 years agrees with what had been previously reported in forensic settings in Nigeria [5, 23] and majority (86.7 %) are from Yoruba ethnic group which is probably a reflection of the location of the facility.

Our study showed that more than half (56.5 %) of the incarcerated participants had CD; a rate comparable to those observed across Europe and America, in systematic review of 25 surveys (56.5 vs 52.8 %) [7], but slightly lower than what was reported by Adeguloye (64.2 %) [5] in Ilorin, North Central part of Nigeria. The current rate may either be a consequence of regional differences within the country or a result of the slightly larger sample size in our study, which obviously reduces the proportion of the actual number of in-mates meeting the diagnosis of CD. Nonetheless, it follows the trend that had been shown by earlier studies [4, 5, 7, 12, 14], which indicate that CD is several times higher in residential care settings than in the general population. In the current study for example, the prevalence rate (56.5 %) is three times as high as was reported in school children (15.6 %) in Nigeria [8].

The specific correlates of CD in this study revealed some interesting but disturbing trends. Although, with multiple regression analysis, older age did not contribute significantly to the prediction of CD (OR 821; p = 0.756; 95 % CI 0.236–2.851), we found a significant relationship between older and CD (χ 2 = 4.164, p = 0.041). On this, our study diverges from the findings of Adegunloye [5], in a different part of the country and an American study, both of which indicated an association in the opposite direction [5, 24]. It is possible that variables such as duration of stay (54.4 % had spent >12 months) or repeated incarceration might have contributed to an older age of the affected adolescent in this study.

Religiosity (described as frequent participation in religious activities) with frequent teaching of retributive justice may lower the chance of being involved in antisocial practices, whereas, a lower level of religiosity might predispose to vices and criminal behavior, with consequent delinquency and ultimate incarceration [18, 25]. In our study, neither the type of religion (χ 2 = 1.661, p = 0.197) nor religiosity (X = 0.002, p = 0.881) was significantly associated with a lower prevalence of CD. This was unlike the studies conducted in school children [18, 25] but in accord with those conducted among incarcerated juveniles [5, 12] where religious participation was not shown to be protective. This might suggest that religiosity was only associated with CD among non-incarcerated young population rather than in forensic settings wherein participation in religious activities might be an imposition rather than choice.

While our study does not produce evidence that variables such as marital status and ‘who brought the participant up’ were independent predictors of CD, initial association of these variables with CD on bivariate analysis perhaps suggests the need for further investigation of this lack of association. Studies have shown that family dysfunction, parental loss and parental deprivation ultimately produced an attendant loss of a sense of submission to authority figures (primarily, the parents) since they were absent [26, 27]. This is because, family is the foundation of human society and is the strongest socializing force of life. “The family teaches children to eschew unacceptable behavior, to delay gratification and to respect the right of others” [26]. Establishments such as schools, religious bodies, and the law enforcement agency, though acting as surrogates, cannot substitute an intact or healthy family [17, 26]. Furthermore, the absence of an intact family, either as a result of dysfunction or loss, (by death or divorce/separation) may lead to emotional and material deprivation.

In many African cultures, whenever there is divorce or separation, the mother is often the one to leave the house regardless of the children’s interests [27]. These children are sometimes left to cater for themselves and the very absence of material resources may lead them into wandering in order to beg for alms or resorting to stealing as means of surviving.

More importantly, the age at which a parent is lost is very crucial and significantly related to developing conduct behaviors [23]. Indeed this variable demonstrated a trend of significance in the regression model (p = 0.065; OR 3.259; CI 0.927–11.450) and was clearly significant in the bivariate analysis with a significantly higher proportion of these incarcerated adolescents who met the criteria for conduct disorder, reporting losing at least one of their parents before their fifth birthday (χ 2 = 4.362, p = 0.037). This age coincides with the period when a child internalizes the family values and develops a conscience, i.e., the “superego” [2]. It has been proposed to serve as “agency that provides ongoing scrutiny of a person’s behavior, thought, and feelings; makes comparison with expected standards of behavior and offers approval or disapproval” [2]. A defect in the establishment of conscience or in internalizing the family values may be responsible for the development of delinquency in various ways which include; loss of a sense of submission to authority figures including parents and loss of social control, which could eventually give way to frank criminal behavior. Moreover, it had been reported that living with other relatives for up to 1 year before primary school age is associated with delinquency [23].

Notwithstanding that family setting does not explain any variance in the regression model (OR 0.869; p = 0.852; 95 % CI 0.199–3.793), a signifiant proportion (68 %) of those who met the criteria for conduct disorder were from polygamous homes (χ 2 = 5.276; p = 0.022).

Polygamy, which is a common practice in Africa [28] and many Islamic states [12], is often characterized by adverse conditions such as; unhealthy rivalry among co-wives and among half siblings, most often as a result of disproportionate display of attention or unequal distribution of resources. These may eventually lead to family breakdown and resultant departure of children from such homes to the street where they are exposed to bad influences leading to delinquency.

In Nigeria, family setting (monogamous or polygamous) is a major determinant of the family size, with polygamous families being more likely to be larger than monogamous ones. Previous authors have technically defined large sibship as having five or more siblings [12, 29] and this definition was adopted for the purpose of this study. In this setting, our observation reveals that, family size is 4.6 times as important as family setting in predicting CD, hence individuals from homes with large sibship are 4.6 times more like to develop CD than those from homes with small sibship (OR 4. 630; 95 % CI 1.433–14.964).

Large sibship, which may be a function of polygamous family setting, is often uncommon in most developed world, where polygamy is either not encouraged by the law or not a usual practice. This could largely explain the reason why this variable was not explored by most of the studies from Europe and America [4, 6, 7, 30]. Nevertheless, our study agrees with those of some authors [16, 17], who found an association between large family and conduct behaviors.

Among these people, conduct behaviors may have been caused by the dilution of family resources such as funds and accommodation, where finite family resources are allocated thinly across a larger number of children. The inadequate resources may not only be in form of monetary or material possessions, but lack of other nonmaterial resources such as adequate time and attention spent on each child, helping them with schoolwork, providing encouragement and positive reinforcement. These nonmaterial resources are equally crucial for children’s development, because, they are positively related to their moral and social development [17, 28].

Finally, another variable with significant contribution to the prediction of CD was ‘Previous history of incarceration’ (p = 0.043). Juveniles who were repeatedly incarcerated were about five times more likely to develop CD OR 4.99; 95 % CI (1.048–23.846).

This is consistent with previous studies [12, 14, 19] which have indicated that a significant proportion of those with CD demonstrated some level of recidivism. This may further support an earlier argument that a mental disorder of a behavioral type was a major contributor to juvenile re-offending and such antisocial trends could continue except affected adolescent offenders were systematically investigated and properly managed [4, 5, 9, 11]. As opined by Alemika and Chukwuka [15], in their study among juvenile offenders in Nigeria, more efforts are being channeled towards keeping young offenders/disturbed adolescents off the community rather than rehabilitating them. Most often these efforts only incubate more delinquent behaviors, rather than properly addressing them. Some of these incarcerated but ‘untreated’ juveniles are even introduced to substance use [2, 19, 20, 31] and more dangerous vices while in incarceration [15]. This may explain why they go back into offending or sometimes become more hardened, leading to more serious offences. Moreover, about 97 (66.0 %) of these incarcerated adolescents, who were in for noncriminal reasons, which included, wandering and labelled, ‘beyond parental control’ stand the risk of being exposed to criminal vices. Nevertheless, the meta-analysis of DeSwart et al. had clearly indicated that the implementation of evidence-based treatment in residential care could have a more positive effect on behavioral problems [23]. This is however challenging to the low or middle income countries such as Nigeria, where there are no separate facilities for the juvenile offenders and those merely in need of protection [5, 15].

A modest proportion of the variance (23.6 %) in CD occurrence was explained by the two independent predictors, which perhaps suggest that other factors related to the development of CD were not investigated in this study. These factors include some biological and other psychological factors which may form the subject for further research.

Recommendations

Based on our study findings, there is the need for well-planned psychosocial interventions for adolescent offenders rather than mere incarceration.

On the basis of these, we therefore recommend a collaboration between the mental health providers and the juvenile justice system in adopting a more productive interventional method in handling disturbed children. It is equally important to develop social support strategies as is obtainable elsewhere in the world [4, 32], for children with dysfunctional family. These strategies should involve comprehensive early interventions such as improved parental supervision which will serve potent preventative functions.

Furthermore, more intensive media programs, in creating awareness and training of parents on early identification of this disorder are recommended. This approach has been shown to be an effective way of reducing conduct problems before antisocial behavior crystallizes [11]. Lastly, future research is necessary to investigate how these highlighted risk factors and other psychological/biological factors interact with CD and its severity particularly in Nigeria.

Limitations

Our study has some important limitations which should be addressed. Since it was not feasible to interview the participants’ parents or care giver, the data obtained were subject to the reliability of participants’ self-report of symptoms. It is therefore not possible to rule out the likelihood of over or under reporting symptoms particularly among those with conduct problems.

The generalizability of our study across gender is clearly limited, owing to the single sex nature of our sample which is a direct result of the legal provisions regarding Borstal Institutions in Nigeria [33].

The cross-sectional nature of this study clearly limits its ability to establish the direction of causality in the relationship between identified risk factors and CD.

Strengths

Conversely, the strengths of this study lie in its use of an internationally accepted instrument, which has also been used in this environment with comparable results [5] and the use of a larger sample size than had been used in the country by previous researchers [5, 23] as well as robust attempt at clearly delineating specific independent predictors of CD from its myriad risk factors.

Conclusions

In this study, CD among incarcerated adolescents was about three times as high as in the general population. We also found an association between conduct disorder (CD) and some socio-demographic variable such as older age group; large family size; parental separation especially below the age of 5 years. Nevertheless, the effect of these variable were insignificant in predicting CD after a logistic regression analysis. Large sibship and repeated incarceration were the strongest predictors of CD and so, were the major factors related to the risk of developing CD in this environment.

We recommend a re-direction of mental health policy especially as it affects these disturbed children labeled “juvenile offenders” to break the cycle of recidivism through the composite interplay of justice, mental condition and child welfare.

Unlike in Europe and America where there are provisions for ‘Looked after kids’ [4, 32], i.e., children in public care, children from large family often constitutes those who are called ‘street kids’ in Nigeria [34]. They are mostly from impoverished polygamous homes and are available in every part of the country, especially the urban cities [34]. These individuals are eventually apprehended for wandering and kept in the same facilities for young offenders which are often ill-equipped to effectively cater for their psychosocial needs. They ultimately learn dangerous vices and strengthens the circle of recidivism. Thus, these juveniles may continue to suffer, unless there is a good understanding of the composite interplay among justice, mental condition and child welfare.

In the light of this, we believe that our study will lend more support to the existing ones in advising a redirection of mental health policy especially as it affects these disturbed children labeled “juvenile offenders”.

Abbreviations

CD:

conduct disorder

MINI-KID:

Mini International Neuropsychiatric Interview for Children and Adolescents

CI:

confidence interval

References

  1. 1.

    APA. Diagnostic and statistical manual of mental disorders (DSM-II). 2nd ed. Washington, DC: American Psychiatric Association; 1968.

    Google Scholar 

  2. 2.

    Sadock BJ, Sadock VA, Ruiz P. Kaplan HI. Synopsis of psychiatry: behavioral sciences/clinical psychiatry. 11th ed. Philadelphia: Copyright ©2014 Lippincott Williams & Wilkins; 2014

  3. 3.

    Harrison P, Cowen P, Burns T. Shorter Oxford textbook of psychiatry. 6th ed. Oxford: © 2012 Oxford University press; 2014

  4. 4.

    Teplin LA, Abram KM, McClelland GM, Dulcan MK, Mericle AA. Psychiatric disorders in youth in juvenile detention. Arch Gen Psychiatry. 2002;59:1133–43.

    Article  PubMed  PubMed Central  Google Scholar 

  5. 5.

    Adegunloye OO, Yusuf AD, Ajiboye PO, Issa BA, Buhari IN. Prevalence and correlates of disruptive behavior disorders in youths in juvenile Borstal Institution. Niger J Psychiatry. 2010;8(3):12–7.

    Google Scholar 

  6. 6.

    Schmidt M, Goldbeck L, Nuetzel J, Fegert JM. Prevalence of mental disorders among adolescents in German youth welfare institutions. Child Adolesc Psychiatry Ment Health. 2008;2:2. http://www.capmh.com/content/2/1/2

  7. 7.

    Fazel SM, Doll H, Långström N. Mental disorders among adolescents in juvenile detention and correctional facilities: a systematic review and meta-regression analysis of 25 surveys. J Am Acad Child Adolesc Psychiatry. 2008;47(9):1010–9.

    PubMed  Google Scholar 

  8. 8.

    Frank-Briggs AI, Alikor EAD. Conduct disorder amongst children in an urban school in Nigeria. Niger Health J. 2008;8(3):44–7.

    Google Scholar 

  9. 9.

    Mordre M, Groholt B, Kjelsberg E, Sandstad B, Myhre MA. The impact of ADHD and conduct disorder in childhood on adult delinquency: a 30 year follow-up study using official crime records. BMC Psychiatry 2011;11:57:1–10. http://www.biomedcentral.com/1471-244X/11/57

  10. 10.

    Nock MK, Kazdin AE, Hiripi E, Kessler R. Prevalence, subtypes, and correlates of DSM-IV conduct disorder in the National Comorbidity Survey Replication. Psychol Med. 2006;36(5):699–710.

    Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Webster-Stratton C, Taylor T. Nipping early risk factors in the bud: preventing substance abuse, delinquency, and violence in adolescence through interventions targeted at young children (0–8 years): Prev Sci. 2001;2(3):165–92.

    CAS  Article  PubMed  Google Scholar 

  12. 12.

    Al-Banna A, Al-Bedwawi S, Al-Saadi A, Al-Maskari F, Eapen V. Prevalence and correlates of conduct disorder among inmates of Juvenile detention centers United Arab Emirates. Eastern Mediterranean Health J. 2008;14(5):1054–9.

    CAS  Google Scholar 

  13. 13.

    Eapen V, Al-Sabosy M, Saeed M, Sabri S. Child psychiatric disorders in a primary care among Arab population. Int J Psychiatry Med. 2004;34(1):51–60.

    Article  PubMed  Google Scholar 

  14. 14.

    Andrade RC, Silva VA, Assumpcao FB. Preliminary data on the prevalence of psychiatric disorders in the Brazilian male and female Juvenile delinquents. Braz J Med Biol Res. 2004;37(8):1155–60.

    CAS  Article  PubMed  Google Scholar 

  15. 15.

    Alemika EEO, Chukwuma IC. Juvenile justice administration in Nigeria: philosophy and practice. Centre for Law Enforcement Education 2001.

  16. 16.

    Bassarath L. Conduct disorder: a bio-psychosocial review. Can J Psychiatry. 2001;46(7):609–16.

    CAS  PubMed  Google Scholar 

  17. 17.

    Ngale IF. Family structure and Juvenile delinquency: correctional centre betamba, Centre Province of Cameroon. Internet J Criminol. 2009;1:1–19. http://www.internetjournalofcriminology.com.

  18. 18.

    Meltzer HI, Dogra N, Vostanis P, Ford T. Religiosity and the mental health of adolescents in Great Britain. Ment Health Relig Cult. 2011;14(7):703–13.

    Article  Google Scholar 

  19. 19.

    Boduszek D, Belsher R, Dhingra K, Ioannou M. Psychosocial correlates of recidivism in a sample of ex-prisoners: the role of oppositional defiant disorder and conduct disorder. J Forens Psychiatry Psychol. 2014;25(1):61–76.

    Article  Google Scholar 

  20. 20.

    Gupta AR, Kelleter KJ, Pajer K, Stephen J, Cuellar A. Delinquent youth in corrections: medicaid and recentry into the community. Pediatrics. 2005;115:1077–83.

    Article  PubMed  Google Scholar 

  21. 21.

    Alemika EEO, Chukwuma IC, Lafratta D, Messerli D, Souckova J. “Rights of the Child in Nigeria.” a report prepared for the Committee on the Rights of the Child 38th Session Geneva. 2005;17. Available at http://www.cleen.org/nigeria_ngo_report_OMCT.pdf.

  22. 22.

    Tunde-Ayinmode MF. Audit of child and adolescent psychiatry in a teaching hospital in Nigeria: prevalence, pattern and implication for improved services. SAJP. 2010;16(1):20–6.

    Google Scholar 

  23. 23.

    Ogunlesi AO. Nigeria juvenile offenders: a case control study. Forens Sci Int. 1990;44 (2–3):187–192. http://sciencedirect.com/science/journal/03790738

  24. 24.

    Sheehan DV, Sheehan KH, Shytle RD, Janavs J, Bannon Y, Rogers JE, et al. Reliability and validity of the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID). J Clin Psychiatry. 2010;71(3):313–26.

    Article  PubMed  Google Scholar 

  25. 25.

    Cruzeiro AL, Silva RA, Horta BL, Souza LD, Faria AD, Pinheiro RT, Silveira Ide O, Ferreira CD. Prevalence and factors associated with behavioral disorders in adolescents: a population-based study. Cad Saude Publica. 2008;24 (9): 2013–2020. http://dx.doi.org/10.1590/S0102-311X2008000900007

  26. 26.

    Sanni KB, Udoh NA, Okediji AA, Modo FA, Ezeh NL. Family types and juvenile delinquency issues among secondary school students in Akwa Ibom State, Nigeria: counseling implications. J Soc Sci. 2010;23(1):21–8.

    Google Scholar 

  27. 27.

    Owasanoye B, Wernham M. Street children and the juvenile Justice System in Lagos State of Nigeria. Human Development Initiatives 2004.

  28. 28.

    Tenibiaje DJ. Influence of family size and family birth order on academic performance of adolescents in higher institution. Pak J Soc Sci. 2009;6(3):110–4.

    Google Scholar 

  29. 29.

    Avong HN. Perception and attitudes toward the Nigerian Federal population policy, Family Planning Program and Family Planning in Kaduna State, Nigeria. Afr J Reprod Health. 2000;4(1):66–76.

    CAS  Article  PubMed  Google Scholar 

  30. 30.

    Richardson J, Lelliott P. Mental health of looked after children. Adv Psychiatr Treat. 2003;9:249–51.

    Article  Google Scholar 

  31. 31.

    Storr CL, Pacek LR, Martins SS. Substance use disorders and adolescent psychopathology. Publ Health Rev. 2012;34(2):1–42

    Google Scholar 

  32. 32.

    De Swart JJW, Van den Broek H, Stams GJJM, Asscher JJ, Van der Laan PH. Holsbrink-Engels GA, Van der Helm GHP. The effectiveness of institutional youth care over the past three decades: a meta-analysis. Child Youth Serv Rev. 2012;34:1818–1824. http://www.elsevier.com/locate/childyouth

  33. 33.

    Borstal Institutions and Remand Centers Act, CAP B11: Laws of the Federation of Nigeria. 2004.

  34. 34.

    Edewor PA. Homeless children and youths in Lagos, Nigeria: their characteristics, street life and sexual behavior. Mediterr J Soc Sci. 2014;5(1):537–45.

    Google Scholar 

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Authors’ contributions

AAO Lead author—Conceived the idea. Responsible for literature review, Data collection, collation, writing up, funding and participated in analysis and editing. AO Second author—Responsible for analysis, editing and participated in literature review, writing up and funding. TOA Third author—Participated in editing. All authors read and approved the final manuscript.

Authors’ information

Dr. Anthony Ademola Olashore (MBBS; FWACP) is a lecturer in the Department of psychiatry, faculty of medicine, University of Botswana, Gaborone. He is a member of research and ethical committee of the same faculty. He is also a Consultant Psychiatrist at Sbrana Psychiatric hospital, Lobatse, Botswana. He is a Fellow of the West African college of physicians. He’s been licensed to practice as a psychiatrist by the Medical and Dental Council of Nigeria, as well as Botswana Health professions council. He is currently working towards the establishment of specialised child and adolescent mental health care and IACAPAP study group in Botswana. Dr. Adegboyega Ogunwale (MBBS; FWACP, Dip stat; LLM) is a consultant Psychiatrist in the Forensic unit at the Neuropsychiatric Hospital, Aro, Abeokuta, Ogun State, Nigeria. He is the Co-coordinator of Africa Interest Group, International Association of Forensic Mental Health Services. He is a member, Mental Health Law & Policy Institute, Simon Fraser University. He has a diploma in statistics and a postgraduate degree in medical law and ethics. He is also a Fellow of the West African College of Physicians and has published several articles. Dr. Timothy Olaolu Adebowale: An astute clinician and experienced mental health service administrator with full, and specialist registration of the Medical and Dental Council of Nigeria, and the General Medical Council, United Kingdom. Currently a Consultant Psychiatrist (General Adult, Community and Rehabilitation Psychiatry), and Director of Clinical Services in the Nigerian foremost mental health care, training and research institution; with formal training and ample experience in community mental health service planning, delivery, evaluation and research. Program coordinator of the Aro Primary Care Mental Health Program for Ogun State.

Acknowledgements

Special thanks to Mrs. Oluwatoyin Olashore (LLB, BL, LLM) of the Ogun state judiciary, Abeokuta, Nigeria, for her legal advice and contributions. Then, to Mr. Atoyebi, the Ass. Superintendent in charge and the entire staffs of the Nigerian Borstal Institution, Ogun state, Nigeria, for granting us permission and coordinating the exercise. Lastly, to all the Borstal in- mates for their consent and participation.

Software, database, application/tools; only available for the reviewers.

Competing interests

The authors report no conflicts of interest.

Funding

Only by the authors.

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Affiliations

  1. Department of Psychiatry, Faculty of medicine, University of Botswana, Private Bag 00713, Gaborone, Botswana

    Anthony Ademola Olashore

  2. Neuro-psychiatry Hospital, PMB, 2002, Aro, Abeokuta, Ogun State, Nigeria

    Adegboyega Ogunwale & Timothy Olaolu Adebowale

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  1. Anthony Ademola Olashore
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  2. Adegboyega Ogunwale
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Correspondence to Anthony Ademola Olashore.

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Olashore, A.A., Ogunwale, A. & Adebowale, T.O. Correlates of conduct disorder among inmates of a Nigerian Borstal Institution. Child Adolesc Psychiatry Ment Health 10, 13 (2016). https://doi.org/10.1186/s13034-016-0100-0

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Keywords

  • Correlates
  • Conduct disorder
  • In-mates
  • Nigerian
  • Borstal Institution

Child and Adolescent Psychiatry and Mental Health

ISSN: 1753-2000