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CHILDHOOD DEPRESSION. Exploring the association between family violence and other psychosocial factors in low-income Brazilian schoolchildren
Child and Adolescent Psychiatry and Mental Health volume 6, Article number: 26 (2012)
Childhood depression affects the morbidity, mortality and life functions of children. Individual, family and environmental factors have been documented as psychosocial risk factors for childhood depression, especially family violence, which results in inadequate support, low family cohesion and poor communication. This study investigates the association between psychosocial depression factors in low-income schoolchildren and reveals the potential trouble spots, highlighting several forms of violence that take place within the family context.
The study was based on a cross-sectional analysis of 464 schoolchildren aged between 6 and 10, selected by random sampling from a city in the state of Rio de Janeiro, Brazil. Socio-economic, family and individual variables were investigated on the strength of the caregivers’ information and organized in blocks for analysis. A binary logistic regression model was applied, according to hierarchical blocks.
The final hierarchical regression analysis showed that the following variables are potential psychosocial factors associated with depression in childhood: average/poor relationship with the father (OR 3.24, 95% CI 1.32-7.94), high frequency of victimization by psychological violence (humiliation) (OR 6.13, 95% CI 2.06-18.31), parental divorce (OR 2.89, 95% CI 1.14-7.32) and externalizing behavior problems (OR 3.53 IC 1.51-8.23).
The results point to multiple determinants of depressive behavior in children, as well as the potential contribution of psychological family violence. The study also reveals potential key targets for early intervention, especially for children from highly vulnerable families.
Depression affects the morbidity, mortality and life functions of children. Investigators are extensively discussing the rise of depression during the last decades in more recent cohorts . Formal psychiatric diagnoses estimate that 0.3% to 7.8% of children under 13 years of age suffer from depression disorders [1–3]. Equally, in Brazil, the prevalence of depression in childhood is between 0.2% and 7.5% for children under 14, which varies mainly according to the assessment [4, 5].
Depression in childhood is not simply a mood regulation disorder; it also involves alterations in the physiology and in the cognitive and social functions of children, and requires comprehension of developmental integration processes at multiple levels of biological, psychological and social complexity in individuals .
Individual, family and environmental factors have been documented as psychosocial factors for childhood depression. Individual factors include age, gender, psychological and physical vulnerability , comorbidity with other disorders , emotional disturbance, impaired sociability, low self-esteem and social skill difficulties [9, 10]. Family factors associated with childhood depression vulnerabilities consist of child abuse and marital conflict [11, 12]; parental depression ; rejection and low interaction with the child ; losses related to separation and death  and a history of insecure attachment [16, 17]. Lastly, environmental factors include daily difficulties, stressful or traumatic life events [18, 19], lack of social support and poor friendships [12–20].
Although there is evidence for the interaction of genetic and environmental factors in the development of depression in the prepubertal period, the genetic influence appears to be low and the disorder tends to be more strongly linked to environmental factors .
Family Violence and Depression
Family violence is a worldwide public health problem of epidemic proportions. In worldwide terms, the statistics regarding the violent behavior of parents towards their children are around 23% [22–24]. In Brazil, the prevalence is between 10-15% [25, 26]. There are high-risk factors for family violence, such as poverty, dysfunctional family life, substance abuse, and the vulnerability of some groups (males, ethnic minorities, and inner-city populations) . Children exposed to these risk factors can be more vulnerable to the impact of traumatic events, due to their cumulative effects; also, they usually have less access to healthcare services, especially mental care. Burns et al.  explain that while approximately half of these vulnerable children are diagnosed with mental health problems, 75% of them do not receive treatment.
The short- and long-term effects of family violence on child development have been extensively studied. To better understand the effects, it is important to study the context in which family violence occurs, mainly the coexistence of intimate partner violence and child abuse [29–31]. Prior studies suggest that children are most affected by violence that impinges directly upon them. They may blame themselves and manifest feelings of shame, guilt, mistrust and low self-esteem . Being a direct victim of violence can be worse than being a witness. Likewise, children may find it more stressful to observe violence between their parents than between strangers in the community. Nonetheless, the impact of witnessing violence in the home has a negative effect, since children may perceive the world as unsafe, adults as untrustworthy, and events as unpredictable or uncontrollable .
A violent family environment tends to engender low support, low cohesion and poor communication. Sharfstein  stated that the violence that affects children is the largest single preventable cause of mental illness: ‘what cigarette smoking is to the rest of medicine, early childhood violence is to psychiatry’ (p.2). The experience of violence triggers traumatic deregulations of neurobiological, cognitive, social, and affective processes that have different manifestations, depending on the child’s developmental stage .
Studies examining the relationship between family violence and depression have failed to take into account the impact of multiple psychosocial factors in the child´s life . For example, in the analysis of the effects on children exposed to violence, it is important to check different types and levels of violence within intimate partner violence. It is also necessary to adopt a systemic approach in which the individual, family and social aspects are included , since, in less developed countries, child health is determined by a large number of factors. Thus, this work seeks to investigate the association of psychosocial factors of depression in low-income schoolchildren and reveal the potential factors, focusing on the various forms of family violence. The psychosocial factors are organized in levels, according to their impact, which range from the most proximal to the distal factors, which include the social and cultural context [37, 38].
The data are based on longitudinal research, which started in 2005 including 500 schoolchildren in the city of São Gonçalo in the state of Rio de Janeiro, Brazil . São Gonçalo is a low-income city, located in the state of Rio de Janeiro, in the southeast of Brazil. It is the second-largest city in the state with a population density of 4.020. In 2011, São Gonçalo had a population of approximately 1 million people, 1/3 of them being children and adolescents. The city ranks in 995th place in the Childhood Development Index in the country. Basic services including electricity, sanitation, and drinking water are not provided to the whole population, and residents have difficulty accessing healthcare services. Violence and accidents rank in fourth place among the causes of death in the city: 10.5% of all deaths in 2009.
This article consists of a cross-sectional analysis of the first wave of the longitudinal study (2005). The sample was collected among first grade students of the elementary public schools of the city. The multi-stage cluster sampling strategy involved a three-stage design, which included all 54 public schools, 236 first grade classes and 6.589 children. In the first stage, 25 schools were systematically selected with probability proportional to the size of the whole sample. In the other two-stages, two classes per school and ten students per class were selected by simple random sampling. Each child’s caregiver was invited for an interview. Frequent errors in the school lists (with names of children who never attended school) and the absence of the caregiver on the day scheduled for the interview (after three attempts) led to the replacement of about 35% of children initially sampled. In these cases, children were replaced by others until the total of ten students per class was attained. This sample design resulted in a systematic self-weighted sample, providing very little variation among the final survey weights.
The sample representation was examined by comparing the maternal educational level and family income of the sample with data on the whole adult population of the city studied. The mothers interviewed had lower educational levels than the women living in the city in general: 63.4% of the sample had less than 8 years of education as opposed to 56.5% among female residents. A similar difference was found regarding the average family income per month: approximately US$426.00 in the whole city and US$304.00 in the sample studied. Although the study found small differences, no bias was introduced. These differences were expected, since the sample investigated came exclusively from public schools, where the majority of low-income children study.
Eighty-four per cent of all caregivers interviewed were mothers, 4% fathers, 9% female relatives and 3% other people close to the family. Thirty-six children had an IQ ≤ 69 (Wechsler Intelligence Scale for Children III)  and children over 10 years old were excluded from this analysis.
The sample consisted of 464 schoolchildren ranging from 6 to 10 years old, with a mean age of 8 years. Out of the total number of children sampled, 52% were male; 66% were identified by the respondent as being black, 33% as being white, and 1% as being from another ethnic background. Only 13% of mothers and 17% of fathers had 11 or more years of education, and 42% of mothers and 14% of fathers were unemployed. With regard to income, 69% reported an income less than half a minimum wage (US$155) per capita. In terms of family structure, 54% of the children lived with both parents, 25% with one of the parents and stepparents, 17% with only one parent and 4% lived with other relatives.
The research project was authorized by the Human Research Ethics Committee of the Oswaldo Cruz Foundation, and written informed consent was obtained from all the children’s parents/legal guardians.
Procedure and measures
The caregivers of the schoolchildren participated in a face-to-face interview, designed for gathering information about all the measures investigated: socio-demographic and family characteristics, and behavioral problems of the children including withdrawal/depression. All measures used referred to the lifetime of the child, with the exception of withdrawal/depression problems, which were applied to assess the last six months. The measures were divided into three main blocks, according to a hypothetic strength relation (distal to proximal impact) . The distal block consists of the variables that rarely cause ill-health directly, the intermediate variables act through a number of inter-related factors and the proximate variables are those that may affect the outcome studied more directly :
Socio-demographic characteristics (distal level) included the age and sex of the child and the social stratum, which was estimated according to the family´s assets and head-of-family´s schooling, scored as upper/middle and lower social strata.
Family environment variables (intermediate level) included the following variables: (1) family structure characterized by the people the child lives with; (2) existence of siblings, from the same or different marital relationship of the parents; (3) relationship between: father/child, mother/child and among siblings, based on the opinion of the caregiver interviewed (good, regular/bad, does not have that relationship); (4) support from close friends/family with whom the caregiver is comfortable to talk [42, 43]; (5) external support for the caregiver (church, community, health services, etc.) [42, 43]; (6) stressful family life events investigated by financial problems, serious health problem of a family member, relative accused of a crime or in prison, family member with alcohol/drug abuse, parental divorce, remarriage of a parent, and serious disease of child requiring medical care ; (7) family violence. The Conflict Tactics Scale[45, 46] was applied to measure very severe physical violence committed by mother and/or father against the child and intimate partner physical violence. The first is characterized by kicking, biting or hitting, spanking, burning, strangling or suffocating, threatening or using a knife or a gun. To intimate partner physical violence, the same preliminary items were assessed, and include threatening to hit or to throw something between the couple. Both types of violence were rated on a 3-point scale (never, sometimes/seldom, rarely). At least one positive answer indicates the victimization of each act of violence. Good Cronbach’s α was found for intimate partner violence (0.82 husband/wife, 0.74 wife/husband) and satisfactory for very severe physical violence by the father and/or mother against the child (0.6). Sibling violence was characterized by hurting and/or deprecating the child investigated. Psychological violence was investigated through the acts committed by a family against the child studied, such as humiliation, criticism, and use of abusive names such as “crazy,” “idiot,” or “stupid.” Cronbach’s α of 0.71. Almost all of the response scale to the variables used in this block is shown in Table 1.
Children’s individual variables (proximal level)
The Child Behavior Checklist (CBCL) was applied to evaluate externalizing problem behavior (18 items for aggressive behavior and 17 for rule-breaking behavior) and social competence (children’s activities, hobbies, school performance and sociability - 20-items) . Borderline cases were analyzed in the same category as clinical cases. The version applied was tested on a sample of Brazilian children that demonstrated criterion-validity in distinguishing cases from non-cases when compared with clinical diagnosis . The Externalizing Scale showed good internal consistency (0.95) and correlation with Teacher Report Form  (Pearson’s r = 0.25, p < 0.001). Cronbach’s α 0.55 to Social Competence Scale.
The Withdrawn/Depressed” subscale of Child Behavior Checklist (CBCL) was applied (8 items) and the T score index proposed for defining the groups: non-clinical (T < 65), borderline (T = 65-69) and clinical (T > 69) . As above, borderline cases were analyzed in the same category as clinical cases. To test criterion-validity, forty-five children were also randomly selected through score comparison between CBCL and K-SADS-PL (Kiddie – Schedule for Affective Disorders and Schizophrenia – Lifetime Version) . Diagnostics performed by two independents child psychiatrists (one following the DSM-IV and another through the KSADS-PL) were compared with those obtained by the CBCL sub-scales. For the Withdrawn/Depressed” subscale, the results indicated 100% sensibility and 75% specificity for the correlation of CBCL and DSM-IV, and 100% sensibility and 77% specificity for the correlation between CBCL and KSADS-PL. Cronbach’s α showed internal consistency of 0.82. Brazilian studies have provided support for the multicultural robustness of the CBCL in Brazil .
SPSS 15.0 and R 2.4.1 were used in the analyses. The chi-square test (with or without Yate’s correction for continuity) was used for the bivariate comparison (alpha level of .05), and hierarchical logistic regression analysis to examine the relationship between socio-demographic, family and individual variables with depression . Fisher’s exact test was used in tables with expected cell counts less than 5. The odds ratio and confidence intervals (Wald test) were obtained. The hierarchy consisted of three steps and was structured into the 3 blocks (distal, intermediate and proximal variables). In Likelihood Ratio test type I, an alpha level of .05 was defined a priori to elect the variables that would remain in each block of the model studied, since the input of the variables in the levels of analysis (blocks) was performed manually. The quality of the model is informed by the Akaike (AIC) criteria (the lower value indicates the best adjustment).
Prevalence and associations with childhood depression
Firstly, 10.3% (CI 7.7-13.2) of all the children sampled were identified as cases of depression by the caregivers. Also, 6% of all the children were identified as victims of very severe physical violence committed by the father and/or mother, 22% of the families experienced severe intimate partner physical violence (committed by one parent against the other), and 47.6% of the informants reported violence among siblings.
With respect to the association of the questions studied with child depression, no socio-demographic block variable investigated proved to be associated (Table 2).
Table 1 shows that child depression was significantly associated with families with stepparents, OR 2.6 (CI 1.32-5.22). Similar significant association was verified with child depression and regular/bad relationship with father, OR 2.1 CI (1.09-4.09); and with the following family life events: financial problems OR 2.6 CI (1.32-5.36); serious health problems, OR 1.9 CI (1.01-3.58); and parental divorce, OR 2.1 CI (1.08-3.9).
Interestingly, almost all family violence variables were associated with child depression (Table 1). The main finding was that depression is associated with violence committed by the father and/or mother against the child, OR 3.19 (1.08-1.41). Psychological violence was more common among depressive children that suffered from: humiliation, OR 4.8 CI (2.01-11.37); criticism, OR 3.1 CI (1.44-6.76); and those children that have been called abusive names like “crazy,” “idiot,” or “stupid,” OR 3.7 CI (1.75-7.99). Furthermore, depression was associated with severe intimate partner physical violence committed by wife against husband, OR 2.3 CI (1.16-4.54); and husband against wife, OR 2. CI (1.03-4.00).
Nonetheless, as presented in Table 1, a non-significant tendency toward depression was found in several family variables studied: siblings from the same/different marital relationship of parents; relationship between mother and child, and between siblings; support of close friends/family; external support; relative accused of a crime or in prison; family member with alcohol/drug abuse; remarriage of a parent; serious disease of a child requiring medical care; and sibling violence.
In the proximal block (Table 3), only externalizing behavior was significantly associated with depression, OR 3.9 (CI 2.03-7.59).
Potential psychosocial factors for depression in children
According to the first step in the hierarchical regression analysis, age, sex and social stratification were entered as distal covariates, and non-significant association was verified (p < 0.05). Second, only family covariate information was entered into the model: family structure, relationship between the father and the child investigated, specific stressful family life events (financial problems, serious health problems and parental divorce) and types of family violence (physical violence committed by father and/or mother against the child, psychological violence and intimate partner violence) showed significant association with depression. Third, these significant family variables remained in the model, in addition to the individual proximal covariates. The results of the hierarchical logistic regression analysis are shown in Table 4.
In the final model, the following variables (Table 4) reveal as potential psychosocial factors for depression in childhood: regular/bad relationship with father (OR 3.24, 95% CI 1.32-7.94), psychological violence (humiliation) (OR 6.13, 95% CI 2.06-18.31), parental divorce (OR 2.89, 95% CI 1.14-7.32) and externalizing behavior problems (OR 3.53 IC 1.51-8.23).
The prevalence of depression in childhood (10%) indicated relatively high rates in comparison with other samples using DSM-IV depression diagnosis (from 1% to 8%) [51, 52]. However, it is important to note that the prevalence may be overestimated because of the sample characteristics, especially with respect to the nature of the institutions surveyed. Furthermore, these relatively high rates can be explained by the criteria applied for defining the cases of depression and/or by the continuity and variety of risk situations to which most of the children studied are exposed, e.g. poverty, violence, dysfunctional households and difficulty of access to healthcare services. On the other hand, the prevalence verified is equivalent to other studies if only considering clinical cases (6.9%). Using clinical diagnosis, Fleitich-Bilyk & Goodman  found moderate to high overall prevalence of psychiatric disorders in Brazilian community children and adolescents (13%), compared to a British survey (10%); however, no difference was found in relation to depressive disorders.
Furthermore, alarming statistics were revealed for family violence, which could also be explained by the social vulnerability of the families investigated, the cultural acceptance of violence in many Brazilian families and the inefficacy of protection services in the country.
With respect to the scope of the study, namely to examine the association of psychosocial factors with depression in childhood, first of all, there is little evidence of depression according to sex and age in childhood. The sex differences are more related to puberty than to chronological age . With regard to the association with socioeconomic status, studies that enclose populations of different social strata can better explain this issue.
In terms of the individual questions block, the association with externalizing behavior can be explained by (1): comorbidity - as Angold & Costello  emphasize: ‘it is a real characteristic of the phenomenology of child depressive disorders’ (p.155); and (2): exposure to family violence, which is also a consensual risk factor for aggressive and rule-breaking behaviors.
However, according to other works [12, 55–57], all the issues associated with family environment and depression comprise an environment exposed to risk. Parental divorce, a bad relationship between father and child and violence are aspects that are causes of potential depression in childhood. Both factors are interrelated, since there is a tendency for children to remain with the mother after divorce, which may lead to distancing from the father. The feeling of loss, prior or posterior conflicts resulting from separation, fights, and socio-economic aspects are features related to divorce, making the situation even more harmful to the child. The new family organization can facilitate physical and emotional detachment, which reduces family support and induces rejection and hostility.
The finding of a strong link between different types of family violence and child depression, among which psychological violence is highlighted, may indicate that a violent context produces a psychological and emotional imbalance that may trigger the depressive condition. Moreover, it is noteworthy that the low reactive ability of children vis-à-vis depression may contribute to the victimization. Furthermore, the effect of violence can interfere in the prolongation of depression, as the blame, shame, sadness and withdrawal generated by violent situations can all contribute to a depressive constellation that is difficult to revert and foments the condition of victim and depression .
These findings can assist clinical decision-making processes by characterizing psychosocial aspects and guiding educators and families. Efforts should focus on public health models for the prevention of violence and on the development of adaptive coping mechanisms, in accordance with the various stages of risk from the developmental perspective. These focal points should be taken into account in early interventions, especially for those children who come from highly vulnerable families. The effects of violence may alter the timing of typical developmental trajectories. Initially, violence may result in depression and externalizing disorders that cause secondary reactions by disrupting the child’s progression through age-appropriate developmental tasks, and consequently, his/her ability to cope with the social world .
Lastly, future analyses need to focus on investigating the link between depression and the relationship of the child with the mother and siblings, the support from friends and relatives, and sibling violence, since these issues limit statistical results. Besides that, it is important to understand mediators and protective variables in pathways to depression and to determine whether early interventions with children who are victims of violence can reduce the risk of subsequent depression. Conversely, it can be established whether early intervention with children experiencing this disorder can help to reduce the risk of violent victimization. Moreover, children who were exposed to violence, especially those from an underprivileged background, need to be evaluated and treated by trained clinicians. It is also critical to clarify the understanding of the physiological factors, which may indicate the role of genetic and/or early environmental factors in the origins of depression. An approach that takes into account the combination of psychological, family and physiological factors may contribute to the comprehensive course and outcome of depression through interrelationships with the environment.
Limitations of the study
The cross-sectional design limits the findings, which should be considered in the interpretation of the results, since it does not permit to investigate the possibility of reverse causality. The access to only one respondent (the caregiver) introduces a limitation, since only one viewpoint is analyzed. Furthermore, the assessments are retrospective, which can introduce a recall bias. Another limitation refers to the variety of measures, which can generate confounding and interaction, though this was partially minimized by block and univariate analysis. Finally, with respect to the psychosocial factors, the majority of them are not specific to any particular disorder; however the identification of potential factors may indicate aspects that must be considered in the prevention and treatment of mental disorders in children.
Avanci participated in data collection, conducted the literature search and data analysis, and drafted the article. Assis made a substantial contribution to the methodology and interpretation of results and helped draft the manuscript. Oliveira and Pires were the main people responsible for the data analysis. All of the authors read and approved the final manuscript.
Costello EJ, Erkanli A, Angold A: Is there an epidemic of child or adolescent depression?. Journal of Child Psychology and Psychiatry. 2006, 47: 1263-1271.
Steinhausen HC, Meltzke CW: Prevalence of affective disorders in children and adolescents: Findings from Zurich Epidemiological Studies. Acta Psychiatr Scand Suppl. 2003, 418: 20-23.
Ford T, Goodman R, Meltzer H: The British Child and Adolescent Mental Health Survey 1999: The Prevalence of DSM-IV Disorders. J Am Acad Child Adolesc Psychiatry. 2003, 42 (10): 1203-1211. 10.1097/00004583-200310000-00011.
Fleitich-Bilyk B, Goodman R: Prevalence of Child and Adolescent Psychiatric Disorders in Southeast Brazil. J Am Acad Child Adolesc Psychiatry. 2004, 43: 727-734. 10.1097/01.chi.0000120021.14101.ca.
Souza LDM, Silva RS, Godoy RV, Cruzeiro ALS, Faria AD, Pinheiro RT, Horta BL, Silva RA: Sintomatologia depressiva em adolescentes iniciais: estudo de base populacional. J Bras Psiquiatr. 2008, 57 (4): 261-266.
McCauley E, Pavlidis K, Kendall K: Developmental precursors of depression: the child and the social environment. The depressed child and adolescent. Edited by: Goodyer I. 2001, United Kingdom: Cambridge University Press, 46-78.
Rao U, Chen L, Bidesi AS, Shad MU, Thomas MA, Hammen CL: Hippocampal Changes Associated with Early-Life Adversity and Vulnerability to Depression. Biol Psychiatry. 2010, 67: 357-364. 10.1016/j.biopsych.2009.10.017.
Lewinsohn PM, Clarke GN, Seeley JR, Rohde P: Major depression in community adolescents: Age at onset, episode duration, and time to recurrence. J Am Acad Child Adolesc Psychiatry. 1994, 33: 809-818. 10.1097/00004583-199407000-00006.
Segrin C: Social skills deficits associated with depression. Clin Psychol Rev. 2000, 20 (3): 379-403. 10.1016/S0272-7358(98)00104-4.
Orth U, Robins RW, Meier LL: Disentangling the Effects of Low Self-Esteem and Stressful Events on Depression: Findings From Three Longitudinal Studies. J Pers Soc Psychol. 2009, 97 (2): 307-321.
Reynolds MH, Wallace J, Hill TF, Weist MD, Nabors NA: The relationship between gender, depression, and self-esteem in children who have witnessed domestic violence. Child Abuse Negl. 2001, 25: 1201-1206. 10.1016/S0145-2134(01)00269-1.
Kennedy AC, Bybee D, Sullivan CM, Greeson M: The impact of family and community violence on children’s depression trajectories: Examining the interactions of violence exposure, family social support, and gender. J Fam Psychol. 2010, 24 (2): 197-207.
Bagner DM, Pettit JW, Lewinsohn PM, Seeley JR: Effect of Maternal Depression on Child Behavior: A Sensitive Period?. J Am Acad Child Adolesc Psychiatry. 2010, 49 (7): 699-707.
Hale WW, Valk IVD, Engels R, Meeus W: Does perceived parental rejection make adolescents sad and mad? The association of perceived parental rejection with adolescent depression and aggression. J Adolesc Health. 2005, 36 (6): 466-474. 10.1016/j.jadohealth.2004.04.007.
Gray LB, Weller RA, Fristad M, Weller EB: Depression in children and adolescents two months after the death of a parent. J Affect Disord. 2011, 135 (1–3): 277-283.
Hennessy MB, Deak T, Schiml-Webb PA: Early attachment-figure separation and increased risk for later depression: Potential mediation by proinflammatory processes. Neurosci Biobehav Rev. 2010, 34 (6): 782-790. 10.1016/j.neubiorev.2009.03.012.
Burnette JL, Davis DE, Green JD, Worthing EL, Bradfield E: Insecure attachment and depressive symptoms: The mediating role of rumination, empathy, and forgiveness. Personality and Individual Differences. 2009, 46 (3): 276-280. 10.1016/j.paid.2008.10.016.
Goodyer IM: Life events: their nature and effects. The depressed child and adolescent. Edited by: Goodyer I. 2001, United Kingdom: Cambridge University Press, 204-232.
László M, Lopez-Duran NL, Kovacs M, George CJ, Baji I, Kapornai K, Kiss E: Vetró: Stressful life events in a clinical sample of depressed children in Hungary. J Affect Disord. 2009, 115 (1–2): 207-214.
Birmaher B, et al.: Childhood and adolescent depression: A review of the past 10 years, Part I. J Am Acad Child Adolesc Psychiatry. 1996, 35: 1427-1439. 10.1097/00004583-199611000-00011.
Rutter M, Kim-Cohen J, Maughan B: Continuities and discontinuities in psychopathology between childhood and adult life. Journal of Child Psychology and Psychiatry. 2006, 47: 276-295. 10.1111/j.1469-7610.2006.01614.x.
Straus MA, Gelles RJ: Physical violence in American families. 1990, New Brunswick, NJ: Transaction Publishers
May-Chahal C, Cawson P: Measuring child maltreatment in the United Kingdom: A study of the prevalence of child abuse and neglect. Child Abuse Negl. 2005, 29 (9): 969-984. 10.1016/j.chiabu.2004.05.009.
MacMillan HL, Fleming JE, Troome N, Boyle MH, Wong M, Racine YA, Beardslee WR, Offord DR: Prevalence of child physical and sexual abuse in the community – results from the Ontario health supplement. J Am Med Assoc. 1997, 278: 131-135. 10.1001/jama.1997.03550020063039.
Assis SG, Avanci JQ: Labirinto de espelhos: formação da auto-estima na infância e na adolescência. 2004, Rio de Janeiro: Ed. Fiocruz
Bordin IA, Paula CS, Duarte CS: Severe physical punishment and mental health problems in an economically disadvantaged population of children and adolescents. Rev Bras Psiquiatr. 2006, 28: 290-296. 10.1590/S1516-44462006000400008.
Sharfstein S: New task force will address early childhood violence. Psychiatr News. 2006, 41: 3.
Burns BJ, et al.: Mental health need and access to mental health services by youths involved with child welfare: a national survey. J Am Acad Child Adolesc Psychiatry. 2004, 43: 960-970. 10.1097/01.chi.0000127590.95585.65.
Chan KL: Gender differences in self-reports of intimate partner violence: A review. Aggression and Violent Behavior. 2011, 16 (2): 167-175. 10.1016/j.avb.2011.02.008.
Casanueva C, Martin SL, Runyan DK: Repeated reports for child maltreatment among intimate partner violence victims: Findings from the National Survey of Child and Adolescent Well-Being. Child Abuse Negl. 2009, 33 (2): 84-93. 10.1016/j.chiabu.2007.04.017.
Herrenkohl TI, Kosterman R, Hawkins JD, Mason WA: Effects of Growth in Family Conflict in Adolescence on Adult Depressive Symptoms: Mediating and Moderating Effects of Stress and School Bonding. J Adolesc Health. 2009, 44 (2): 146-152. 10.1016/j.jadohealth.2008.07.005.
Horn JL, Trickett PK: Community violence and child development: A review of research. Violence against children in the family and community. Edited by: Trickett PK, Schellenbach CJ. 1998, American Psychology Association, Washington, DC, 103-138.
Campbell JC, Lewandowisk LA: Mental and physical health effects of intimate partner violence on women and children. Psychiatr Clin North Am. 1997, 20: 353-374. 10.1016/S0193-953X(05)70317-8.
Pynoos RS, Steinberg AM, Piacentini JC: A developmental psychopathology model of childhood traumatic stress and intersection with anxiety disorders. Biol Psychiatry. 1999, 46: 1542-1554. 10.1016/S0006-3223(99)00262-0.
Holt S, Buckley H, Whelan S: The impact of exposure to domestic violence on children and young people: A review of the literature. Child Abuse Negl. 2008, 32: 798-810.
Krug E, Dalhberg L, Mercy J, Zwi A, Lozano R: Informe mundial sobre la violencia y la salud. 2003, Genebra, Suíça Organização Mundial de Saúde
Bronfenbrenner U: Making human beings human: Bioecological perspectives on human development. 2004, Thousand Oaks, CA: Sage
Victora C, Huttly S, Fuchs S, Olinto M: The Role of Conceptual Frameworks in Epidemiological Analysis: A Hierarchical Approach. Int J Epidemiol. 1997, 26 (1): 224-227. 10.1093/ije/26.1.224.
Assis SG, Pesce RP, Avanci JQ, Oliveira Raquel VC: Socioeconomic development, family income, and psychosocial risk factors: a study of families with children in public elementary school. Cad Saude Publica. 2011, 27: 209-221.
Wechsler D: WISC-III: Escala de Inteligência Wechsler para Crianças:- Manual- Adaptação e Padronização Brasileira. 2002, Casa do Psicólogo, São Paulo
Associação Brasileira de Institutos de Pesquisa de Mercados (ABIPEME). 2008, São Paulo: Caracterização Sócio-Econômica
Straus MA: Measuring intrafamiliar conflict and violence. The Conflict Tactics (CT) Scales. Journal of Marriage and the Family. 1981, 41: 75-88.
Hasselmann MH, Reichenheim ME: Adaptação transcultural da versão em português da Conflict Tactics Scales Form R (CTS-1), usada para aferir violência no casal: equivalências semântica e de mensuração. Cad Saude Publica. 2003, 19: 1083-1093. 10.1590/S0102-311X2003000400030.
Pitzner JK, Drummond PD: The Reliability and Validity of Empirically Scaled Measures of psychological/Verbal control and Physical/Sexual Abuse: Relationship between current negative mood and a history of abuse independent of other negative life events. J Psychosom Res. 1997, 2: 125-142.
Sherbourne CD, Stewart AL: The MOS social support survey. Soc Sci Med. 1991, 32: 705-714. 10.1016/0277-9536(91)90150-B.
Chor D, Faerstein E, Alves MGM, Lopes CS: Medidas de rede e apoio social no Estudo Pró-Saúde: pré-testes e estudo piloto. Cad Saude Publica. 2001, 17: 887-896. 10.1590/S0102-311X2001000400022.
Achenbach TM, Rescorla LA: Manual for the ASEBA School-age forms & profiles. 2001, Burlington, VT: University of Vermont
Bordin I, Mari J, Carneiro M: Validação da versão brasileira do Child Behavior Checklist (CBCL) (Inventário de comportamentos da Infância e Adolescência): dados preliminares. Revista ABP-APAL. 1995, 17 (2): 55-66.
Brasil HHA: Desenvolvimento da versão brasileira da K-SADS-PL e estudo de suas propriedades psicométricas. 2003, Brazil: Thesis (Doctorate): Escola Paulista de Medicina, Universidade Federal de São Paulo
Rocha MM, Emerich DR, Silvares EF Mattos: Equipe CBCL/6-18 2010. Gender differences on behavioral and emotional problems: Brazilian CBCL findings. 14th International Congress of European Society for Child and Adolescent Psychiatry. 2011, Helsinki: European Child and Adolescent Psychiatry - Supplement, v. 20, 2011., S176-S177.
Fleming JE, Offord DR, Boyle MH: Prevalence of childhood and adolescent depression in the community. Ontario Child Health Study. Br J Psychiatry. 1989, 155: 647-654.
Costello EJ, et al.: The Great Smoky Mountains Study of Youth: Goals, designs, methods, and the prevalence of DSM-III-R discorders. Arch Gen Psychiatry. 1996, 53: 1129-1136. 10.1001/archpsyc.1996.01830120067012.
Goodyer I: The depressed child and adolescent. 2001, United Kingdom: Cambridge University Press
Angold A, Costello E: The epidemiology of depression in children and adolescents. The depressed child and adolescent. Edited by: Goodyer I. 2001, Cambridge University Press, United Kingdom, 143-178.
Margolin G, Gordis E: The Effects of Family and Community Violence on Children. Annual Revision Psychology. 2000, 51: 445-479. 10.1146/annurev.psych.51.1.445.
Chapman DP, Whitfield CL, Felitti VJ, Dube SR, Edwards VJ, Anda RF: Adversechildhood experiences and the risk of depressive disorders in adulthood. J Affect Disord. 2004, 82: 217-225. 10.1016/j.jad.2003.12.013.
Chang KL: Children exposed to child maltreatment and intimate partner violence: A study of co-occurrence among Hong Kong Chinese families. Child Abuse Negl. 2011, 35: 532-542. 10.1016/j.chiabu.2011.03.008.
Avanci JQ, Assis SG, Oliveira RVC, Pires T: Quando a convivência com a violência aproxima a criança do comportamento depressivo. Ciência & Saúde Coletiva. 2009, 14: 383-394.
This study was sponsored by CNPq and CAPES, Brazil, and was completed whilst a visiting scholar at the developmental psychiatry section, University of Cambridge, under the supervision of Dr. Ian Goodyer.
The authors declare that they have no competing interest.
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Avanci, J., Assis, S., Oliveira, R. et al. CHILDHOOD DEPRESSION. Exploring the association between family violence and other psychosocial factors in low-income Brazilian schoolchildren. Child Adolesc Psychiatry Ment Health 6, 26 (2012). https://doi.org/10.1186/1753-2000-6-26