DSM-III-R disorders, social factors and management of school attendance problems in the normal population

School refusal behavior in children and adolescents: a five-year narrative review of clinical significance and psychopathological profiles

The aim of the study was to explore the clinical significance of school refusal behavior, its negative impact on psychological well-being of children and adolescents and its relationship with the most common psychopathological conditions during childhood and adolescence (e.g. neurodevelopmental disorders, psychiatric disorders). School refusal behavior refers to a distressing condition experienced by children and adolescents that compromise regular school attendance and determine negative consequences on mental health and adaptive functioning. A narrative review of the literature published between January 2019 and March 2023 was conducted. Ten studies (n = 10) were included from a literature search of the electronic databases PubMed, CINAHL, PsycInfo, MedLine, and Cochrane Library. The results indicate that school refusal is highly present in neurodevelopmental disorders such as autism and attention-deficit/hyperactivity disorder due to the presence of behavioral problems and deficits in communication skills. As for psychiatric disorders, school refusal appears to be highly common in anxiety disorders, depressive disorders, and somatic symptoms. We also found that school refusal behavior may be associated with various emotional and behavioral conditions that act as risk factors. Especially, but are not limited to, it may be associated with a diminished self-concept, exposure to cyberbullying, specific affective profiles and excessive technology usage. Our results indicate that school refusal is a condition with many clinical facets. It can be attributed to both vulnerability factors, both temperamental and relational, and to various psychopathological conditions that differ significantly from each other, such as neurodevelopmental disorders and psychiatric disorders. Recognizing these aspects can improve the implementation of patient-tailored therapeutic interventions that are consequently more likely to produce effective outcomes. The therapeutic intervention should facilitate the recognition of cognitive biases regarding school as a threatening environment, while regulating negative emotions associated with school attendance. Additionally, therapeutic intervention programs linked to social skill training and problem-solving training, conducted directly within the school setting, can enhance children's abilities to cope with academic performance and social relationships, ultimately preventing school refusal.

Developmental Issues Associated with Adolescent School Refusal and Cognitive-Behavioral Therapy Manuals

It is important to consider developmental issues when addressing school refusal (SR) in adolescence. Referral rates appear to be higher among adolescents relative to children, and treatment appears to be less effective among adolescents. This paper provides an in-depth review of developmental issues associated with adolescent SR and treatment via cognitive-behavioral therapy (CBT). It begins by considering the reasons for the higher referral and poorer treatment outcomes, including the higher level of absenteeism in adolescence, higher rates of concurrent social anxiety disorder and depressive disorder, and the developmental challenges inherent to adolescence. Such challenges include increased academic and social demands in the secondary-school environment, and increasing autonomy which may contribute to family conflict. These developmental issues may potentiate and exacerbate an adolescent's difficulty attending school, make it difficult for families to cope, and complicate practitioners' efforts to provide effective treatment for SR. Further, the review describes CBT manuals for SR and the extent to which they are developmentally sensitive. There are five CBT manuals, which vary in their sensitivity to developmental issues. Various multimodal treatments employ interventions in addition to CBT, such as medication or inpatient treatment, to address the complexity of SR in adolescence. Nevertheless, nonresponse to treatment for adolescent SR ranges from one-third to two-thirds of youths. Attention thus needs to be given to ways of improving treatment outcomes.

Association of school absence and exclusion with recorded neurodevelopmental disorders, mental disorders, or self-harm: a nationwide, retrospective, electronic cohort study of children and young people in Wales, UK

BACKGROUND

Poor attendance at school, whether due to absenteeism or exclusion, leads to multiple social, educational, and lifelong socioeconomic disadvantages. We aimed to measure the association between a broad range of diagnosed neurodevelopmental and mental disorders and recorded self-harm by the age of 24 years and school attendance and exclusion.

METHODS

In this nationwide, retrospective, electronic cohort study, we drew a cohort from the Welsh Demographic Service Dataset, which included individuals aged 7-16 years (16 years being the school leaving age in the UK) enrolled in state-funded schools in Wales in the academic years 2012/13-2015/16 (between Sept 1, 2012, and Aug 31, 2016). Using the Adolescent Mental Health Data Platform, we linked attendance and exclusion data to national demographic and primary and secondary health-care datasets. We identified all pupils with a recorded diagnosis of neurodevelopmental disorders (ADHD and autism spectrum disorder [ASD]), learning difficulties, conduct disorder, depression, anxiety, eating disorders, alcohol or drugs misuse, bipolar disorder, schizophrenia, other psychotic disorders, or recorded self-harm (our explanatory variables) before the age of 24 years. Outcomes were school absence and exclusion. Generalised estimating equations with exchangeable correlation structures using binomial distribution with the logit link function were used to calculate odds ratios (OR) for absenteeism and exclusion, adjusting for sex, age, and deprivation.

FINDINGS

School attendance, school exclusion, and health-care data were available for 414 637 pupils (201 789 [48·7%] girls and 212 848 [51·3%] boys; mean age 10·5 years [SD 3·8] on Sept 1, 2012; ethnicity data were not available). Individuals with a record of a neurodevelopmental disorder, mental disorder, or self-harm were more likely to be absent or excluded in any school year than were those without a record. Unadjusted ORs for absences ranged from 2·1 (95% CI 2·0-2·2) for those with neurodevelopmental disorders to 6·6 (4·9-8·3) for those with bipolar disorder. Adjusted ORs (aORs) for absences ranged from 2·0 (1·9-2·1) for those with neurodevelopmental disorders to 5·5 (4·2-7·2) for those with bipolar disorder. Unadjusted ORs for exclusion ranged from 1·7 (1·3-2·2) for those with eating disorders to 22·7 (20·8-24·7) for those with a record of drugs misuse. aORs for exclusion ranged from 1·8 (1·5-2·0) for those with learning difficulties to 11·0 (10·0-12·1) for those with a record of drugs misuse.

INTERPRETATION

Children and young people up to the age of 24 years with a record of a neurodevelopmental or mental disorder or self-harm before the age of 24 years were more likely to miss school than those without a record. Exclusion or persistent absence are potential indicators of current or future poor mental health that are routinely collected and could be used to target assessment and early intervention. Integrated school-based and health-care strategies to support young peoples' engagement with school life are required.

FUNDING

The Medical Research Council, MQ Mental Health Research, and the Economic and Social Research Council.

TRANSLATION

For the Welsh translation of the abstract see Supplementary Materials section.

Testing the Functional Profiles of School Refusal Behavior and Clarifying Their Relationship With School Anxiety

Students with school attendance problems are a diverse and heterogeneous group whose patterns of symptomatology can change over time. This study aims to identify different school refusal behavior profiles and to determine whether these profiles differ from each other based on four situational factors and three response systems of school anxiety across gender. The participants were 1,685 Spanish students (49% female) aged 15–18 years (M = 16.28; SD =0.97). The School Refusal Assessment Scale-Revised (SRAS-R) and the School Anxiety Inventory (SAI) were administered. Latent profile analysis revealed five school refusal behavior profiles: Non-School Refusal Behavior, Mixed School Refusal Behavior, School Refusal Behavior by Positive Reinforcement, Low School Refusal Behavior, and High School Refusal Behavior. The results indicated that High School Refusal Behavior and Mixed School Refusal Behavior groups were the most maladaptive profiles since it obtained the highest mean scores on school anxiety. In contrast, Non-School Refusal and School Refusal Behavior by Positive Reinforcement groups revealed the lowest scores in school anxiety. Non-significant gender-based differences were found, only girls were more represented in the mixed school refusal behavior profile in comparison with boys but with a small effect size. Findings are discussed in relation to the importance of promoting good mental health to prevent school attendance problems in adolescents and younger ages.

The Association Between Symptoms of Depression and School Absence in a Population-Based Study of Late Adolescents

OBJECTIVE

School attendance is an important functional marker in adolescence, and knowledge of the correlates of school absence is important to inform preventive efforts. The main aim of the present study was to investigate the association between symptoms of depression and school absence in late adolescence, adjusting for sociodemographic characteristics and externalizing problems.

METHODS

Data stem from the youth@hordaland-survey, a population-based survey of adolescents between 16 and 19 years old attending upper secondary education in Hordaland County, Norway, in spring 2012. Administrative data on school absence was provided for 8222 adolescents. In addition to days and hours absent the past semester, a variable of total absence was calculated and divided into quartiles of absence. Symptoms of mental health problems and sleep duration was based on adolescent self-reports.

RESULTS

Reports of depressive symptoms were significantly associated with school absence when investigated as continuous variables. The strength of the association attenuated but remained statistically significant when controlling for sociodemographic factors and externalizing problems. When investigating the association at different levels of school absence, adolescents in the second, third and fourth quartile of school absence reported significantly higher depression scores compared to adolescents in the first quartile. The association between reports of symptoms of depression and school absence was partially mediated by sleep duration.

CONCLUSION

The association between reported symptoms of depression and school absence was evident even at low levels of school absence, indicating a role for universal prevention strategies. The findings suggest both depression and sleep problems as possible targets for intervention in late adolescence.

Emotional disorder and absence from school: findings from the 2004 British Child and Adolescent Mental Health Survey

Emotional disorder may be associated with absence from school, but the existing evidence is methodologically weak. We studied the relationships between anxiety, depression and emotional difficulties, and school absence (total, authorised and unauthorised) using data from the 2004 British Child and Adolescent Mental Health Survey (BCAMHS). The BCAMHS was a cross-sectional, community survey of 7977 5- to 16-year-olds. Emotional disorder was assessed using the Development and Wellbeing Assessment (DAWBA), and emotional difficulties using the Strengths and Difficulties Questionnaire (SDQ) completed by teachers and parents. Teachers reported days absent in the previous school term. Multivariable negative binomial regression was used to examine the impact of emotional disorder and difficulties on absence. Age, gender and general health were explored as moderators. Anxiety, depression and emotional difficulties were associated with higher rates of all types of absence [rate ratios for total absence: anxiety 1.69 (1.39-2.06) p < 0.001; depression 3.40 (2.46-4.69) p < 0.001; parent-reported emotional difficulties 1.07 (1.05-1.10) p < 0.001; teacher-reported emotional difficulties 1.10 (1.08-1.13) p < 0.001]. The strongest association was observed for depression and unauthorised absence. Relationships were stronger for secondary compared to primary school children. Health and educational professionals should be aware that children with poor attendance may be experiencing emotional ill health, regardless of absence type. The absence may provide a useful tool to identify those who require additional mental health support. Findings highlight the widespread burden of emotional disorder and the need to support those with emotional ill health in continuing to access education.

Subtyping of Adolescents with School Refusal Behavior: Exploring Differences Across Profiles in Self-Concept

Not all adolescents with school attendance problems attribute their behavior to the same causes. Knowing the subtypes of students who reject school and their relationship with new variables, such as self-concept, is an unresolved task. This study aimed to identify different school refusal behavior profiles and to determine whether these profiles differed from each other based on the scores of the eleven dimensions of self-concept (Physical appearance, Physical abilities, Parent relations, Same-sex relations, Opposite-sex relations, Honesty, Emotional stability, Self-esteem, Verbal, Math, and General school). The participants were 1315 Spanish students (57.6% male) aged 12-18 years (M = 15.21; SD = 1.74). The School Refusal Assessment Scale-Revised and the Self-Description Questionnaire II-Short Form were administered. A latent class analysis revealed four school refusal behavior profiles: Moderately High School Refusal Behavior, Moderately Low School Refusal Behavior, Mixed School Refusal Behavior and Non-School Refusal Behavior. The results indicated that the Mixed School Refusal Behavior group was the most maladaptive profile and revealed the lowest mean scores on self-concept. In contrast, Non-School Refusal and Moderately Low School Refusal Behavior groups revealed the highest scores in all dimensions of self-concept. Implications for working toward the prevention of school refusal in students with low self-concept are discussed.

Identifying Risk Profiles of School Refusal Behavior: Differences in Social Anxiety and Family Functioning Among Spanish Adolescents

School attendance problems negatively affect students' development. This study attempted to identify different school refusal behavior profiles and to examine their relationship with three dimensions of social anxiety (fear of negative evaluation, social avoidance and distress in new situations, and social avoidance and distress that is experienced more generally in the company of peers) and the perception of family functioning. Participants included 1842 Spanish adolescents (53% girls) aged 15-18 years (M = 16.43; SD = 1.05). The School Refusal Assessment Scale-Revised (SRAS-R), the Social Anxiety Scale for Adolescents (SAS-A), and the Family APGAR Scale (APGAR: Adaptation, Partnership, Growth, Affection, and Resolve) were administered. Latent class analysis revealed four school refusal behavior profiles: non-school refusal behavior, high school refusal behavior, moderately low school refusal behavior, and moderately high school refusal behavior. Analyses of variance (ANOVA) indicated that adolescents' with the profile of high school refusal behavior showed higher scores in all the subscales of social anxiety. In contrast, the non-school refusal behavior group revealed higher scores in the perception of good family functioning, whereas the high school refusal behavior profile obtained the lowest scores in this scale. These findings suggest that students who reject school are at a higher risk of developing social anxiety problems and manifesting family conflicts. These students should be prioritized in order to attend to their needs, promoting self-help to overcome social anxiety and family problems with the purpose of preventing school refusal behaviors.

Working with school-refusing young people in Tower Hamlets, London

This study looks at the local context, describing quantitative data from a subset of young people seen within the inner London Tower Hamlets Pupil Referral Unit (PRU) that are extremely socially withdrawn and unable to attend mainstream education. The core aim of this research was to examine the views of professionals who work with and for these young people. Qualitative group interviews were used to gain a deeper understanding of the needs of these young people, what might contribute to their withdrawal from school and what needs to be done to help them reintegrate. Professionals reported that these young people were highly complex in terms of their needs and presentation and that there is a lack of clarity around what causes these young people to withdraw. They agreed that a more intensive multilayered intervention was required to meet their needs. Interventions that include gradual socialization, parental involvement and which address the role of technology were indicated. However, more research is needed to clarify how to effectively intervene.

The association between child and adolescent depression and poor attendance at school: A systematic review and meta-analysis

BACKGROUND

Depression in young people may lead to reduced school attendance through social withdrawal, loss of motivation, sleep disturbance and low energy. We systematically reviewed the evidence for an association between depression and poor school attendance.

METHODS

Seven electronic databases were searched for quantitative studies with school-aged children and/or adolescents, reporting a measure of association between depression and school attendance. Articles were independently screened by two reviewers. Synthesis incorporated random-effects meta-analysis and narrative synthesis.

RESULTS

Searches identified 4930 articles. Nineteen studies from eight countries across North America, Europe, and Asia, were included. School attendance was grouped into: 1) absenteeism (i.e. total absences), 2) excused/medical absences, 3) unexcused absences/truancy, and 4) school refusal. Meta-analyses demonstrated small-to-moderate positive cross-sectional associations between depression and absenteeism (correlation coefficient r = 0.11, 95% confidence interval 0.07 to 0.15, p = 0.005, I² = 63%); and depression and unexcused absences/truancy (r = 0.15, 95% confidence interval 0.13 to 0.17, p < 0.001, I² = 4%; odds ratio = 3.74, 95% confidence interval 2.11 to 6.60, p < 0.001, I² = 65%). Few studies reported associations with school refusal or excused/medical absences, and few utilised longitudinal data, although results from two studies suggested an association between depression and subsequent absenteeism.

LIMITATIONS

Study quality was poor overall, and methodological heterogeneity, despite creating a broad evidence-base, restricted meta-analysis to only small subsamples of studies.

CONCLUSIONS

Findings suggest associations between depression and poor school attendance, particularly absenteeism and unexcused absences/truancy. Clinicians and school staff should be alert to the possibility of depression in children and adolescents with poor attendance. Future research should utilise longitudinal data to confirm the direction of the association, investigate associations with excused absences, and test potential moderators of the relationship.

Functional profiles of school refusal behavior and their relationship with depression, anxiety, and stress

Negative emotional states are common among youth with problematic school absenteeism, but little is known about their presence across different school refusal behavior profiles. The aim of this study was twofold: to identify different cluster solutions across functional profiles of school refusal behavior (I. Avoidance of Negative Affectivity, II. Escape from Social and/or Evaluative Situations, III. Pursuit of Attention, and IV. Pursuit of Tangible Reinforcement) and to determine whether these profiles differ from each other based on dimensions of depression, anxiety, and stress. The sample consisted of 1582 Ecuadorian adolescents aged 12-18 years (M = 14.83; SD = 1.86) who completed the School Refusal Assessment Scale-Revised (SRAS-R) and the Depression, Anxiety and Stress Scale-21 (DASS-21). Latent class analysis revealed three school refusal profiles: non-school refusal behavior, school refusal behavior by tangible reinforcements, and school refusal behavior by multiple reinforcements. The last group displayed the most maladaptive profile and revealed highest mean scores on the three dimensions of the DASS-21 compared to other groups. To promote mental health in this group it is a necessary goal due to their link with these negative emotional states. Prevention measures to strengthen emotional self-regulation should be considered in these cases.

Evidence for a relationship between child maltreatment and absenteeism among high-school students in Sweden

School absenteeism is a potent predictor of academic failure. Maltreated adolescents have been found to be more absent from school compared to their peers. However, it is scarcely studied in what degree a general population of students with high levels of school absenteeism has been exposed to child maltreatment. Furthermore, it is not known if maltreated school-absentees have specific characteristics compared to not-maltreated absentees. In this article, the first objective was to present and compare the prevalence of six types of child maltreatment in a general population of high school students reporting no, moderate or excessive absenteeism. The second objective was to compare maltreated and not-maltreated students who report absenteeism in respect to mental health, perceived school environment and peer victimization in school. Data from 667 girls and 649 boys (mean age 14.3) was used from the longitudinal multidisciplinary research program LoRDIA (Longitudinal Research on Development In Adolescence). Data was collected via self-report questionnaires in classroom settings. All six types of child maltreatment were overrepresented among absentees. Roughly 25% of absentees reported one subtype of maltreatment (16% in the total population) and a mean of 22% of absentees reported two or more types of maltreatment (11% in the total population). Maltreated absentees reported more mental health problems, personal harassment and worse relationship with their teachers than not-maltreated absentees. There might be specific correlates of school absenteeism among maltreated adolescents and professionals involved in preventing school-absenteeism should be made aware of the relationship between maltreatment and absenteeism.

Chronic Fatigue Syndrome in Children and Adolescents: A Review Article

Clinicians have been describing individuals with chronic fatigue states for over 100 years, although chronic fatigue syndrome is often regarded as a modern disease. The aetiology of chronic fatigue syndrome is uncertain. For young individuals with chronic fatigue syndrome there are neither reliable prevalence figures nor scientific evidence concerning the effectiveness of treatments. Information obtained from research into adult individuals with chronic fatigue syndrome may be helpful but is not necessarily directly applicable to children and adolescents. Developmental factors and the influence of other family members on the course of the disorder in young sufferers should be considered. The uncertainties surrounding chronic fatigue syndrome should not deter child and adolescent mental health workers from becoming involved in the assessment and management of individual patients. The mainstay of treatment is rehabilitation with an emphasis on gradually increasing activities. Considerable attention will need to be given to engaging the young people and their families and working effectively with a multidisciplinary team. If mental health workers do not become involved in treating young people with chronic fatigue syndrome there is a risk that psychological factors will not be addressed and that chronic functional impairment will ensue.

Differential Effects of Mental Health Problems Among Truant Youths

Research indicates at-risk youth are more likely to experience emotional and psychological problems. Young people who are often truant from school represent a group of at-risk youth, but one for which mental health issues are understudied. This study examined heterogeneity of mental health problems among a sample of 300 truant adolescents using latent class analysis (LCA). LCA indicated the sample of truants was best represented by four latent subgroups of youth with low mental health problems; high depression, low mania; high mania, low depression; and high depression and mania. These subgroups were examined in relation to sociodemographic and psychosocial measures at baseline and after truancy offenses. Results indicated general and unique differences in these covariates across the four latent classes. Service and practice implications of better understanding mental health issues of truant youth are discussed.

Externalizing and internalizing syndromes in relation to school truancy among adolescents in high-risk urban schools

INTRODUCTION

To examine the relationship between externalizing/internalizing syndromes and school truancy among Form Four (10th grade) students attending "high-risk" schools in Kuala Lumpur.

METHODS

This is a cross-sectional study conducted upon 16-year-old adolescents attending three high-risk schools in Kuala Lumpur. A total of 373 students completed self-administered questionnaires on the sociodemographic variables and externalizing/internalizing syndromes. The number of truant-days per student during the study period was obtained from the school records.

RESULTS

The mean internalizing score, externalizing score and total problem score of those who were truant were found to be significantly higher (P < 0.05) than those who were non-truant. Multiple logistic regressions showed externalizing syndrome (odds ratio [OR] = 1.044; confidence interval [CI] = 1.012-1.078, P = 0.018) significantly predicts truancy but not the internalizing syndrome. Two other psychosocial factors, namely, having divorced parents (OR = 2.495, CI = 1.058-5.886, P = 0.037) and did not understand or were uncertain of the purpose of schooling (OR = 2.621, CI = 1.265-5.433, P = 0.010) were also showed to be stronger predictors of truancy compared to externalizing/internalizing syndromes.

DISCUSSION

Truancy has significant association to externalizing syndrome, in addition to other significant psychosocial variables like parental and schooling factors. This finding indicated the need for comprehensive assessment of students presenting with truant behavior, including the identification of associated psychological and behavioral problems which highlights the roles of mental health professionals in tackling truancy.

The Role of Cognition in School Refusal: An Investigation of Automatic Thoughts and Cognitive Errors

Aims: The purpose of this study was to investigate the cognitions of anxious school refusers. The cognitive constructs under investigation included negative cognition commonly linked to youth anxiety (i.e. negative automatic thoughts and cognitive errors) and positive automatic thoughts. Method: The cognition of school refusers (n = 50) and youth from a community sample (n = 181) was assessed with the Children's Automatic Thoughts Scale-Negative/Positive and the Children's Negative Cognitive Error Questionnaire-Revised. Results: When controlling for anxiety, school refusers were found to report more negative automatic thoughts concerning personal failure, fewer negative automatic thoughts concerning hostility, and fewer positive automatic thoughts. Negative automatic thoughts concerning personal failure and hostility, and the negative cognitive error of overgeneralizing were found to independently predict school refusal. Conclusions: The findings underscore the importance of further researching the role of cognition in the development, maintenance, and treatment of anxiety-based school refusal.

Psychosocial Interventions for School Refusal Behavior in Children and Adolescents

This article reviews empirical evidence for the efficacy of psychosocial interventions for school refusal behavior. Data corresponding to eight experimental single-case and seven group-design studies are presented. Across studies, behavioral and cognitive-behavioral treatments emerged as promising lines of intervention. These interventions produced improvements in school attendance and youths'symptom levels (e.g., anxiety, fear, depression, anger) based on this study's examination of effect sizes. The article concludes with suggestions for interventionists, researchers, and policymakers attempting to deal with the problem of school refusal.

A package of interventions to reduce school dropout in public schools in a developing country. A feasibility study

OBJECTIVE

School dropout rates are staggeringly high in developing countries, even for elementary school children. This study aims to assess the feasibility and initial efficacy of a package of interventions tailored to reduce school dropout in public schools in an urban city in Brazil.

METHOD

Two public schools with similar high rates of dropout in elementary grades were selected. In one of them, a package of universal preventive interventions was implemented during a school year, including two workshops with teachers, five informative letters to parents, three meetings with parents at school, a telephone helpline at school, and a 1-day cognitive intervention. For children who stayed ten consecutive days out of school without reason, mental health assessment and referral to mental health services in the community were offered. In the second school, no intervention was implemented.

RESULTS

After this 1-year intervention, there were significant differences between the two schools in rates of both dropout (P < 0.001) and absenteeism in the last trimester (P < 0.05; effect size = 0.64). In the intervention school, 18 (45%) youths returned to school after intervention among the 40 at-risk students. Moderate engagement of school staff was the main logistic problem.

CONCLUSIONS

Our findings suggest that programs combining universal primary preventive strategies and interventions focused on at-risk students can be implemented and useful in developing countries to reduce school dropout.

School refusal and psychiatric disorders: a community study

OBJECTIVE

To examine the association between anxious school refusal and truancy and psychiatric disorders in a community sample of children and adolescents using a descriptive rather than etiological definition of school refusal.

METHOD

Data from eight annual waves of structured psychiatric interviews with 9- to 16-year-olds and their parents from the Great Smoky Mountains Study were analyzed.

RESULTS

Pure anxious school refusal was associated with depression (odds ratio [OR] = 13, 95% confidence interval [CI] 3.4, 42) and separation anxiety disorder (OR = 8.7, 95% CI 4.1, 19). Pure truancy was associated with oppositional defiant disorder (OR = 2.2, 95% CI 1.2, 4.2), conduct disorder (OR = 7.4, 95% CI 3.9, 14), and depression (OR = 2.6, 95% CI 1.2, 56). Of mixed school refusers (children with both anxious school refusal and truancy), 88.2% had a psychiatric disorder. They had increased rates of both emotional and behavior disorders. Specific fears, sleep difficulties, somatic complaints, difficulties in peer relationships, and adverse psychosocial variables had different associations with the three types of school refusal.

CONCLUSIONS

Anxious school refusal and truancy are distinct but not mutually exclusive and are significantly associated with psychopathology, as well as adverse experiences at home and school. Implications of these findings for assessment, identification, and intervention for school refusal are discussed.

Estimated mental retardation and school dropout in a sample of students from state public schools in Porto Alegre, Brazil

OBJECTIVES: To assess the association between estimated Mental Retardation (MR) and school dropout in a sample of students of the third and fourth grades at state schools in Porto Alegre, the capital of the southernmost state of Brazil. METHOD: In this case - control study, students that dropped out from schools (n=44) and a control group who continued attending schools (n=44) had their intelligence quotient (IQ) determined by the vocabulary and cubes subtests of the Wescheler Intelligence Scale <FONT FACE=Symbol>¾</FONT> third edition (WISC<FONT FACE=Symbol>¾</FONT>III). Students with IQ lower than 70 were considered as potential cases of MR. Other prevalent mental disorders in this age range were assessed in both groups using the Schedule for Affective Disorders and Schizophrenia for School<FONT FACE=Symbol>¾</FONT> Age Children, Epidemiological Version (K-SADS-E). RESULTS: The prevalence of potential MR was significantly higher in the dropped out group than in the control group (p<0.001). Odds ratio for school dropout was significantly higher in the presence of MR even after controlling for potentially confounding factors (age, conduct disorder, grade repetition, family structure and income) (p<0.01). CONCLUSION: Children with IQ lower than 70 (potential MR) were at higher risk for school dropout. These children need to be identified at school and specific educational strategies should be implemented to assure their inclusion in the learning process.

School refusal: epidemiology and management

School refusal is differentiated from other attendance problems such as truancy and school withdrawal. It is characterised by the child's emotional upset at the prospect of going to school, parental awareness of and antipathy toward the problem, and an absence of significant antisocial behaviour in the child. The child's emotional upset is frequently associated with an anxiety disorder, but it may also be associated with a mood disorder. School refusal affects approximately 1% of school children across the primary and secondary school levels. Severe and prolonged school refusal jeopardises the young person's social, emotional and academic development, and may be associated with mental health problems in adulthood. A first step in management involves efficient identification and the assessment of contributing and maintaining factors. Clinical outcome studies support the efficacy of cognitive behavioural therapy (CBT). The psychosocial approach encompassed in CBT incorporates anxiety management training with the young person, behaviour management training with parents and consultation with school personnel. Pharmacological treatments are commonly employed although empirical support for their use is limited. Tricyclic antidepressants and selective serotonin (5-hydroxytryptamine; 5-HT) reuptake inhibitors are the more commonly used agents, with the latter having fewer associated adverse effects. It is suggested that the first line of treatment should be CBT, with simultaneous or subsequent pharmacological treatment contingent upon the response to CBT.

School dropout and conduct disorder in Brazilian elementary school students

OBJECTIVES

To evaluate the association between DSM-IV conduct disorder (CD) and school dropout in a sample of students from the third and fourth elementary grades at state schools in the capital of the southernmost state of Brazil.

METHODS

In this case-control study, students that dropped out of schools (n = 44) and a control group who continued attending schools (n = 44) were assessed for CD and other prevalent mental disorders, using the Schedule for Affective Disorders and Schizophrenia for School Age Children, Epidemiological Version (K-SADS-E).

RESULTS

The prevalence of DSM-IV CD was significantly higher in the school-dropout group than in control subjects (P < 0.001), both in the entire sample and in a subsample including only subjects under age 12 years (P = 0.001). Also, the odds ratio (OR) for school dropout was significantly higher in the presence of DSM-IV CD, even after controlling for potential confounding factors (age, estimated IQ, school repetition, family structure, and income) (P < 0.01).

CONCLUSION

Our results extend to children and young adolescents previous findings from studies of older adolescents, suggesting an association between school dropout and CD.

School refusal in children and adolescents: a review of the past 10 years

OBJECTIVE

To critically review the past 10 years of research on school refusal in children and adolescents.

METHOD

Literature on school refusal published from 1990 onward was reviewed following a systematic search of PsycINFO. The review focuses on definitional issues, epidemiology and school refusal identification, diagnostic considerations, family functioning, assessment, treatment, and follow-up studies.

RESULTS

While definitional and conceptual issues are still evident, promising developments have occurred in relation to assessment and treatment practices and understanding of the family context of school refusal.

CONCLUSIONS

From a clinical viewpoint, school refusal cases require comprehensive assessment and treatment. Advances have been made in the treatment of school refusal. However, additional controlled studies evaluating interventions for school refusal are needed.

School consultation: a review of research on issues unique to the school environment

OBJECTIVE

To provide clinicians with current information to assist in their consultations to schools on 4 major topics that are unique to the school environment and of serious concern to educators: absenteeism, disciplinary referrals, retention (non-promotion), and dropping out.

METHOD

Computer literature searches and the major journals of the various school disciplines were used to identify empirically based articles with sound methodology. Information on each of the 4 issues is presented as general characteristics, characteristics of psychopathology, prevention and treatment, and implications for consultation.

RESULTS

Findings are largely general, with little specific information on level of intelligence, learning disorders, psychopathology, or family stressors. Students under each topic have varied presentations. However, many pupils with absenteeism, disciplinary referrals, or retention appear to be characterized by chronic and serious academic and/or behavior problems, all of which can predate dropping out.

CONCLUSIONS

Considerable research is still needed on all 4 school issues, especially psychopathology. Nevertheless, consultants can reasonably first help schools to identify students at risk for the 4 outcomes, followed by appropriate screening/evaluation to indicate more clearly their true intervention needs. The ongoing process can further educate school staff about psychiatric disorders in their most problematic students.

Factors affecting the reliability of clinical judgments about the function of children's school-refusal behavior

Conducted two studies to examine the interrater reliability, test-retest stability, and the effect of various clinician variables, such as years of clinical experience, theoretical orientation, and prior experience with children, on clinical judgments about the reinforcement functions of children's school-refusal behavior. Results indicated that the judgments by individual clinicians were of questionable reliability. Judgments aggregated across 3 clinicians yielded acceptable interrater and test-retest reliability in Study 1, but a greater number of clinicians were necessary to achieve acceptable reliability in Study 2. Years of clinical experience and training were the only clinician variables related to the reliability of judgments about reinforcement functions. Several recommendations for the clinical assessment of the function of children's school-refusal behavior are discussed.

Predictors of severity of absenteeism in children with anxiety-based school refusal

Examined possible relations among sociodemographic, clinical, and familial variables and level of school absenteeism in children with anxiety-based school refusal. These children exhibit a great deal of variability in the severity of school refusal, with some youngsters missing only an occasional day of school, whereas other exhibit pervasive school absenteeism. Participants were 76 children referred for treatment of anxiety-based school refusal. Children and a parent completed a structured clinical interview (Schedule for Affective Disorders and Schizophrenia for School-Age Children) and self-report measures that assess children's levels of fear (Fear Survey Schedule for Children-Revised), trait and somatic anxiety (Modified State-Trait Anxiety Inventory for Children), and depressive symptomatology (Children's Depression Inventory), as well as family environment characteristics (Family Environment Scale). Regression analyses revealed that older age, lower levels of fear, and less active families were primary predictors of greater levels of school absenteeism.