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Social gradients in child and adolescent antisocial behavior: a systematic review protocol
© Piotrowska et al.; licensee BioMed Central Ltd. 2012
- Received: 18 April 2012
- Accepted: 10 August 2012
- Published: 23 August 2012
The relationship between social position and physical health is well-established across a range of studies. The evidence base regarding social position and mental health is less well developed, particularly regarding the development of antisocial behavior. Some evidence demonstrates a social gradient in behavioral problems, with children from low-socioeconomic backgrounds experiencing more behavioral difficulties than children from high-socioeconomic families. Antisocial behavior is a heterogeneous concept that encompasses behaviors as diverse as physical fighting, vandalism, stealing, status violation and disobedience to adults. Whether all forms of antisocial behavior show identical social gradients is unclear from previous published research. The mechanisms underlying social gradients in antisocial behavior, such as neighborhood characteristics and family processes, have not been fully elucidated. This review will synthesize findings on the social gradient in antisocial behavior, considering variation across the range of antisocial behaviors and evidence regarding the mechanisms that might underlie the identified gradients.
In this review, an extensive manual and electronic literature search will be conducted for papers published from 1960 to 2011. The review will include empirical and quantitative studies of children and adolescents (<=18 years old) recruited from the general population, which include measures of both social position and antisocial behavior. A standardized data extraction form and quality appraisal checklist will be used to retrieve essential information and critically appraise each study and the inter-rater reliability of the quality scores will be assessed. If practical, meta-analysis will be used to synthesize the data. However, it is expected that the selected studies will be heterogeneous, in which case narrative synthesis will be applied. Separate conclusions may be drawn for logically grouped studies on the basis of their quality score, scope or methodology.
This systematic review has been proposed in order to synthesize cross-disciplinary evidence of the social gradient in antisocial behavior and mechanisms underlying this effect. The results of the review will inform social policies aiming to reduce social inequalities and levels of antisocial behavior, and identify gaps in the present literature to guide further research.
- Antisocial behavior
- Social gradient
- Social inequalities
- Conduct Disorder
- Oppositional-Defiant Disorder
- Socioeconomic status
Social inequalities have been extensively studied in relation to health outcomes; this body of research identifies a social gradient with those of higher socioeconomic status (SES) having better health. For example, this gradient has been well-documented in the Whitehall longitudinal studies of more than 10,000 British civil servants. These studies document an inverse relationship between employment grade and the incidence of a number of health outcomes, including chronic bronchitis and coronary heart disease (CHD) mortality. They also show that many of the conventional risk factors for CHD, such as smoking, higher plasma glucose and low physical activity are more prevalent among lower grade employees; however, the social gradient is only partially explained when these potential mechanisms are accounted for. Follow-up studies showed the stability of the inverse gradient between employment grade and health[3–6]. In addition, the role of income inequalities rather than simple income was emphasized, suggesting that relative income and position in the social hierarchy may be measures of inequality that are particularly relevant to health outcomes[7–9]. The literature on social inequalities in children’s health is less well developed and the social gradient has only been reported in relation to a limited number of health problems or health profiles. A number of studies that have focused on children have supported the social gradient found among adults. For example, Starfield, Robertson and Riley found that social class was positively associated with health when considering minor and major physical disorders (for example, colds, infections, allergies, diabetes, epilepsy). Similarly, Emerson, Graham and Hatton showed that household income was positively associated with poor health outcomes in children on 13 out of 22 indicators (for example, children from higher incomes were less likely to suffer from headaches, psychiatric and emotional disorders), indicating the continuity of social gradient in health from childhood to adulthood.
Social inequalities in mental health
Initial findings of the social gradient in children’s health were the foundation of further research concerning social gradients in mental health and adjustment. Fryers, Melzer and Jenkins conducted a systematic review of social inequalities in ‘common mental disorders’ (that is, anxiety, depression), and concluded that the majority of the studies showed these mental disorders are more prevalent in lower socioeconomic groups. Similarly, a social gradient in adolescents’ emotional problems has been reported, with adolescents from the lower social class experiencing more emotional problems. The authors also suggested that this relationship may be mediated by psychosocial processes that result from the widening social gradient (that is, relative inequality), for example family factors.
Social gradients in child and adolescent antisocial behavior
Antisocial behavior among young people poses an important challenge to the United Kingdom and many other societies across the world. As well as causing great suffering for both victim and perpetrator, antisocial behavior presents a significant economic challenge. Knapp, Scott, and Davies measured both direct and indirect costs of severe antisocial behavior during childhood in the UK and found that the annual average cost per family was £15,382 (inflation corrected for 2011, approximately £19,881), with 37% of the burden taken by families. A body of research indicates that antisocial behavior problems in young people have been becoming worse, at least since the 1970s. Using comparable measures, a substantial increase in adolescent antisocial behavior between 1974 and 1999 has been noted. A more recent study found a small but statistically significant decrease in mean levels of conduct problems between 1999 and 2004 as reported by parents and adolescents themselves, though prevalence rates remained high. In the United States, adolescents’ problematic behavior rates significantly increased between 1976 and 1989. Subsequent decreases in problematic behaviors between 1989 and 1999 have been found, though the rates remained higher than in 1976. Taken together this literature highlights the importance of developing our understanding of antisocial behavior with the goal of informing policies to reduce the scope of the problem.
Antisocial behavior is a heterogeneous concept, including but not limited to behaviors defined as criminal. Different forms of antisocial behavior may be heterogeneous in terms of risk factors, prognosis and intervention response. In the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR) psychiatric nosology, antisocial behavior during adolescence is described within the areas of Oppositional-Defiant Disorder (ODD) and Conduct Disorder (CD). Importantly, the DSM-IV-TR enables clinicians and researchers to standardize their diagnoses so that they refer to detailed descriptions of a certain condition, including potential risk factors, developmental pathways or recovery. There have been questions raised regarding whether dichotomous diagnoses should be given or whether antisocial behavior should be treated as a continuum. Such dimensional approaches have been largely supported by research demonstrating their superior predictive validity. However, dichotomies remain useful as they do not seem to affect conclusions and can be easily presented in a widely understandable manner to the general public. Therefore, both dichotomous and continuous measures are important approaches for measuring antisocial behavior.
ODD is characterized by conflict with adults (for example, defiance, spitefulness, loss of temper), and has a prevalence rate of approximately 3%. By contrast, CD which has a prevalence of approximately 6%, refers to ‘a repetitive and persistent pattern of behavior in which the basic rights of others or major age-appropriate societal norms or rules are violated’ [20; p. 93] (for example, bullying, fighting and cruelty to people or animals, theft, truancy, destruction of property). The distinction between these two disorders addresses in part the heterogeneity present within antisocial behavior. However, heterogeneity remains within these diagnostic categories to some extent. For example, within the diagnosis of CD, symptoms may be meaningfully classified as involving physical aggression or not, as childhood or adolescent onset, or as presenting with or without callous-unemotional (CU) traits.
A relationship between social inequalities and broadly operationalized antisocial behavior (for example, CD, delinquency, violence, crime) has been noted in the literature[27, 28]. Emerson, Graham and Hatton found that CD had significantly higher prevalence rates in the lowest income quintiles, and its prevalence gradually decreased across the income gradient. Moreover, Costello, Compton, Keeler and Angold found that children from consistently poor families and those who had later moved out of poverty had significantly more symptoms of CD and ODD than never-poor children. The symptoms of children who moved out of poverty significantly decreased to the level of never-poor children after a boost to income was introduced. Social inequality has been reported as strongly and positively associated with higher rates of both acquisitive and non-acquisitive crimes. Taken together, these findings suggest an inverse relationship between social position and different forms of antisocial behavior, with disadvantaged children experiencing more behavioral problems; yet this relationship has not been thoroughly described, particularly with reference to comparisons of different forms of antisocial behavior.
In order to understand this relationship, a few studies have addressed the mechanisms underlying the relationship between inequality and antisocial behavior. Conger and colleagues proposed a model suggesting that economic difficulties and pressure (that is, low income, debts and income loss) influence parental emotional problems, family interactions and conflict with children over money. This may, in turn, lead to general hostility towards children, affecting their internalizing and externalizing problems. Such a model has been further developed using an interactionist perspective on the relationship between socioeconomic status and antisocial behavior, specifically suggesting that the relationship between socioeconomic status and child development is dynamic and changes over time. Other research addressing mediators of the effect of social position on antisocial behavior suggest that socialization processes, family characteristics and child-rearing practices, including lack of warmth, harsh discipline and diminished parental supervision[29, 34] may play a role.
Despite the importance of the topic, the evidence on the nature of the social gradient in antisocial behavior is limited. Researchers interested in other risk processes have often treated socioeconomic status as a contextual or confounding variable in relation to antisocial behavior[35, 36]; hence, many findings concerning social inequalities in antisocial behavior are spread across the literature. Therefore, a review of the evidence regarding the social gradient in antisocial behavior with the consideration of its heterogeneity and potential underlying mechanisms is needed. This will guide future enhancements of developmental models of antisocial behavior and inform policy interventions to reduce levels of antisocial behavior through minimizing the effects of social inequalities on the development of children and adolescents.
This systematic review aims to synthesize findings concerning the social gradient in broadly defined antisocial behavior as well as processes involved in this relationship. We will examine whether social gradients differ for subtypes of antisocial behavior. For instance, it could be hypothesized that specific CU traits shown to be particularly highly heritable may have weaker associations with socioeconomic status than less heritable subtypes. Furthermore, the potential mechanisms underlying the social gradient in antisocial behavior, risk factors and mediators will be investigated in order to explore the mechanisms underlying the gradient. For example, the low parental self-efficacy, general parental dysfunction, poor supervision and inconsistent discipline associated with children’s antisocial behavior could partly account for its relationship with socioeconomic status.
Both CD and ODD capture a range of symptomatic behaviors from lost temper, frequent arguments, anger, and spitefulness to physical cruelty, fighting, stealing, and serious rule violations. These constructs are directly addressed in the psychiatric literature but similar constructs may be measured across different domains such as criminology, sociology and law. Consequently, a wide range of terms used by different disciplines will be incorporated in the search strategy to ensure all relevant research on antisocial behavior and social inequalities is identified. On the basis of the discussion presented earlier, the variety of antisocial behavior measures used, both categorical and dimensional, will be accepted in the review. This will allow investigation of both clinical diagnoses of disruptive behavior disorders, and also continuous scales of clinical symptoms, offending, aggression and delinquency.
Initial search and first stage reviewing, including assessing the relevance of articles on the basis of titles and abstracts, will be conducted by the first author only. However, when studies are found difficult to classify, corresponding decisions will be made upon discussion and agreement between the two reviewers. When retrieved, both reviewers will independently evaluate articles against explicit inclusion criteria. This process will be piloted first to ensure matching interpretation and understanding of inclusion criteria across both reviewers. Only empirical, quantitative studies of children and adolescents (<=18 years old) recruited from the general, non-clinical population, measuring both social position (for example, occupational/employment, income, or educational indicators) and broadly conceptualized antisocial behavior, that were published in English will be included in the review. A wide range of carer’s social position measures will be accepted in the review. These may include occupation, education, income and social class and they may be measured using continuous, ordinal, categorical scales, including dichotomies. A wide range of antisocial behavior measures will also be accepted, including diagnoses of CD and ODD and continuous questionnaire measures or symptoms counts for constructs such as delinquency and aggression. A detailed record of the number of studies excluded at each stage will be kept as well as the primary reason for exclusion during the second stage reviewing. The flow diagram of the selection process will be presented according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
Data extraction and quality appraisal
A standardized and pre-piloted data extraction form [See Additional file1 will be used to extract all the relevant information for quality appraisal and synthesis. Data extraction will be undertaken by the first reviewer, although the process will be discussed and piloted by both reviewers. Subsequently, 20% of the sample will be verified by the second reviewer. All identified papers will be critically appraised independently by both reviewers. Appraisal will be guided by a checklist assessing clarity of aims and research questions, methodological quality (that is, reliability of measures), sampling techniques used, the study’s relevance to the review, inclusion of different types of antisocial behavior and analyses of mediating effects [See Additional file2. This checklist has been developed and piloted by the first author, showing good face validity. If the psychometric properties of the instruments used are not reported, these may be taken from the other papers using the same measures. Each study will be assessed on all the quality criteria as poor, satisfactory or good scored as 0, 1, 2, respectively, which will then constitute the overall quality score of the study. This may be taken into account during synthesis as studies of high- versus low-quality may be accordingly grouped. The process of the quality appraisal will be first piloted by both reviewers. Cohen’s Kappa inter-rater reliability statistic will be calculated using the quality scores assigned independently by reviewers to measure the consistency of appraisal.
Analysis and synthesis
If the nature of the identified studies allow, meta-analysis will be conducted either on all studies or on a group of studies sufficiently homogeneous in regard to the construct measured, quality, scope, and so on. We will use META program to compute effect sizes and present an N-weighted average coefficient to account for the sample size. The decision regarding applying fixed- versus random-effects models will be made at the later stages of the review process, upon assessing the heterogeneity of the included studies. If the selected studies show substantial heterogeneity, only narrative synthesis may be employed. Studies will be logically grouped into meaningful categories (for example, gradient-only studies, and those describing possible mechanisms). The basic characteristics and findings of each of the studies will be tabulated, and more weight will be given to studies assessed as ‘higher quality’ in the cross-study synthesis. If studies differing on quality scores appear to present dissimilar findings, separate conclusions may be drawn on the basis of low- versus high-quality papers, and between-study differences further examined. The same procedures may be applied to methodologically different studies, again with separate findings presented. Final synthesis will present the overall findings on the social gradient in antisocial behavior taking into account methodological variations between studies.
The review will synthesize findings on social gradients in different forms of antisocial behavior and potential mediating mechanisms that have been sparsely reported in the literature to date. The review will also serve as a foundation for future research that could further develop existing theories of antisocial behavior, and inform policies regarding interventions that focus on reducing social inequalities in antisocial behavior. The findings could inform the design of future research resulting in more thorough studies of the role of socioeconomic variables in behavioral problems, rather than considering them as solely contextual variables[32, 33]. Variation in the social gradient effects across different forms of antisocial behavior could guide researchers to treat antisocial behavior as a multi-dimensional construct and include multiple measures to assess its different forms in their designs.
We would like to express our gratitude to Dr Louise Arseneault, Dr Dimitris Ballas, Professor Barbara Maughan, Dr John McAlaney and Dr Jim McCambridge, who reviewed a draft of this protocol.
- Marmot M, Brunner E: Cohort profile: The Whitehall II study. Int J Epidemiol. 2005, 34: 251-256. 10.1093/ije/dyh372.View ArticlePubMedGoogle Scholar
- Marmot MG, Rose G, Shipley M, Hamilton PJS: Employment grade and coronary heart-disease in British civil-servants. J Epidemiol Commun Health. 1978, 32: 244-249. 10.1136/jech.32.4.244.View ArticleGoogle Scholar
- Marmot MG, Shipley MJ, Rose G: Inequalities in death – specific explanations of a general pattern. Lancet. 1984, 1: 1003-1006.View ArticlePubMedGoogle Scholar
- Davey Smith G, Shipley MJ, Rose G: Magnitude and causes of socioeconomic differentials in mortality: further evidence from the Whitehall Study. J Epidemiol Commun Health. 1990, 44: 265-270. 10.1136/jech.44.4.265.View ArticleGoogle Scholar
- Marmot MG, Shipley MJ: Do socioeconomic differences in mortality persist after retirement? 25 year follow up of civil servants from the first Whitehall study. Brit Med J. 1996, 313: 1177-1180. 10.1136/bmj.313.7066.1177.View ArticlePubMedPubMed CentralGoogle Scholar
- van Rossum CTM, Shipley MJ, van de Mheen H, Grobbee DE, Marmot MG: Employment grade differences in cause specific mortality. A 25 year follow up of civil servants from the first Whitehall study. J Epidemiol Commun Health. 2000, 54: 178-184. 10.1136/jech.54.3.178.View ArticleGoogle Scholar
- Wilkinson RG: Socioeconomic determinants of health - health inequalities: relative or absolute material standards?. Brit Med J. 1997, 314: 591-595. 10.1136/bmj.314.7080.591.View ArticlePubMedPubMed CentralGoogle Scholar
- Wilkinson RG: Comment: income, inequality, and social cohesion. Am J Public Health. 1997, 87: 1504-1506. 10.2105/AJPH.87.9.1504.View ArticlePubMedPubMed CentralGoogle Scholar
- Marmot M: The influence of income on health: views of an epidemiologist. Health Aff (Millwood). 2002, 21: 31-46.View ArticleGoogle Scholar
- Starfield B, Robertson J, Riley AW: Social class gradients and health in childhood. Ambul Pediatr. 2002, 2: 238-246. 10.1367/1539-4409(2002)002<0238:SCGAHI>2.0.CO;2.View ArticlePubMedGoogle Scholar
- Emerson E, Graham H, Hatton C: Household income and health status in children and adolescents in Britain. Eur J Public Health. 2006, 16: 354-360. 10.1093/eurpub/cki200.View ArticlePubMedGoogle Scholar
- Fryers T, Melzer D, Jenkins R: Social inequalities and the common mental disorders - a systematic review of the evidence. Soc Psych Psych Epid. 2003, 38: 229-237. 10.1007/s00127-003-0627-2.View ArticleGoogle Scholar
- Langton EG, Collishaw S, Goodman R, Pickles A, Maughan B: An emerging income differential for adolescent emotional problems. J Child Psychol Psychiatry. 2011, 52: 1081-1088. 10.1111/j.1469-7610.2011.02447.x.View ArticlePubMedGoogle Scholar
- Knapp M, Scott S, Davies J: The cost of antisocial behaviour in younger children. Clin Child Psychol Psychiatry. 1999, 4: 457-473. 10.1177/1359104599004004003.View ArticleGoogle Scholar
- Collishaw S, Maughan B, Goodman R, Pickles A: Time trends in adolescent mental health. J Child Psychol Psychiatry. 2004, 45: 1350-1362. 10.1111/j.1469-7610.2004.00335.x.View ArticlePubMedGoogle Scholar
- Maughan B, Collishaw S, Meltzer H, Goodman R: Recent trends in UK child and adolescent mental health. Soc Psych Psych Epid. 2008, 43: 305-310. 10.1007/s00127-008-0310-8.View ArticleGoogle Scholar
- Achenbach TM, Dumenci L, Rescorla LA: Are American children's problems still getting worse? A 23-year comparison. J Abnorm Child Psych. 2003, 31: 1-11. 10.1023/A:1021700430364.View ArticleGoogle Scholar
- Achenbach TM, Dumenci L, Rescorla LA: Ten-year comparisons of problems and competencies for national samples of youth: self, parent, and teacher reports. J Emot Behav Disord. 2002, 10: 194-203. 10.1177/10634266020100040101.View ArticleGoogle Scholar
- Burke JD, Loeber R, Birmaher B: Oppositional defiant disorder and conduct disorder: a review of the past 10 years, part II. J Am Acad Child Psychiatry. 2002, 41: 1275-1293. 10.1097/00004583-200211000-00009.View ArticleGoogle Scholar
- American Psychiatric Association: Diagnostic and Statistical Manual of Mental Disorders.Text Revision (TR). 2000, Washington, DC: American Psychiatric Association, 4Google Scholar
- Goodman R, Scott S: Child Psychiatry. 2005, Oxford: Blackwell Publishing, 2Google Scholar
- Fergusson DM, Horwood J: Predictive validity of categorically and dimensionally scored measures of disruptive childhood behaviors. J Am Acad Child Adolesc Psychiatry. 1995, 34: 477-485. 10.1097/00004583-199504000-00015.View ArticlePubMedGoogle Scholar
- Farrington DP, Loeber R: Some benefits of dichotomization in psychiatric and criminological research. Crim Behav Ment Health. 2000, 10: 100-122. 10.1002/cbm.349.View ArticleGoogle Scholar
- Green H, McGinnity A, Meltzer H, Ford T, Goodman R: Mental Health of Children and Young People in Great Britain. Summary Report. 2004, London: Her Majesty's Stationary Office, 2005-Google Scholar
- Moffitt TE: Adolescence-limited and life-course-persistent antisocial behavior: a developmental taxonomy. Psychol Rev. 1993, 100: 674-701.View ArticlePubMedGoogle Scholar
- Scheepers FE, Buitelaar JK, Matthys W: Conduct disorder and the specifier callous and unemotional traits in the DSM-5. Eur Child Adoles Psy. 2011, 20: 89-93. 10.1007/s00787-010-0149-x.View ArticleGoogle Scholar
- Dodge KA, Pettit GS, Bates JE: Socialization mediators of the relation between socioeconomic-status and child conduct problems. Child Dev. 1994, 65: 649-665. 10.2307/1131407.View ArticlePubMedGoogle Scholar
- Wilkinson R: Why is violence more common where inequality is greater?. Ann NY Acad Sci. 2004, 1036: 1-12.View ArticlePubMedGoogle Scholar
- Costello EJ, Compton SN, Keeler G, Angold A: Relationships between poverty and psychopathology - A natural experiment. JAMA. 2003, 290: 2023-2029. 10.1001/jama.290.15.2023.View ArticlePubMedGoogle Scholar
- Whitworth A: Inequality and crime across England: a multilevel modelling approach. Soc Policy Society. 2012, 11: 27-40. 10.1017/S1474746411000388.View ArticleGoogle Scholar
- McLeod JD, Shanahan MJ: Trajectories of poverty and children's mental health. J Health Soc Behav. 1996, 37: 207-220. 10.2307/2137292.View ArticlePubMedGoogle Scholar
- Conger RD, Ge X, Elder GH, Lorenz FO, Simons RL: Economic stress, coercive family process, and developmental problems of adolescents. Child Dev. 1994, 65: 541-561. 10.2307/1131401.View ArticlePubMedGoogle Scholar
- Conger RD, Donnellan MB: An interactionist perspective on the socioeconomic context of human development. Annu Rev Psychol. 2007, 58: 175-199. 10.1146/annurev.psych.58.110405.085551.View ArticlePubMedGoogle Scholar
- Lahey BB, Waldman ID, McBurnett K: Annotation: the development of antisocial behavior: an integrative causal model. J Child Psychol Psyc. 1999, 40: 669-682. 10.1111/1469-7610.00484.View ArticleGoogle Scholar
- Frick PJ, Lahey BB, Loeber R, Stouthamerloeber M, Christ MAG, Hanson K: Familial risk factors to oppositional defiant disorder and conduct disorder: parental psychopathology and maternal parenting. J Consult Clin Psych. 1992, 60: 49-55.View ArticleGoogle Scholar
- Pardini DA, Lochman JE, Powell N: The development of callous-unemotional traits and antisocial behavior in children: are there shared and/or unique predictors?. J Clin Child Psychol. 2007, 36: 319-333. 10.1080/15374410701444215.View ArticleGoogle Scholar
- Viding E, Blair RJR, Moffitt TE, Plomin R: Evidence for substantial genetic risk for psychopathy in 7-year-olds. J Child Psychol Psychiatry. 2005, 46: 592-597. 10.1111/j.1469-7610.2004.00393.x.View ArticlePubMedGoogle Scholar
- Kolko DJ, Dorn LD, Bukstein O, Burke JD: Clinically referred odd children with or without cd and healthy controls: comparisons across contextual domains. J Child Fam Stud. 2008, 17: 714-734. 10.1007/s10826-007-9186-6.View ArticleGoogle Scholar
- Attree P: Childhood Disadvantage and Health Inequalities: A Systematic Review of the Qualitative Evidence. 2004, Lancaster: Lancaster UniversityGoogle Scholar
- Pollitt R, Rose K, Kaufman J: Evaluating the evidence for models of life course socioeconomic factors and cardiovascular outcomes: a systematic review. BMC Publ Health. 2005, 5: 7-10.1186/1471-2458-5-7.View ArticleGoogle Scholar
- Moher D, Liberati A, Tetzlaff J, Altman DG: Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009, 6: e1000097-10.1371/journal.pmed.1000097.View ArticlePubMedPubMed CentralGoogle Scholar
- Cohen J: A coefficient of agreement for nominal scales. Educ Psychol Meas. 1960, 20: 37-46. 10.1177/001316446002000104.View ArticleGoogle Scholar
- Schwarzer R: Meta: Programs for Secondary Data nalysis. 1988, Berlin: University of BerlinGoogle Scholar
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