Abstract
Objective
1) Examine the relationship between previous adverse childhood experiences and somatic complaints and health problems in early adolescence, and 2) examine the role of the timing of adverse exposures.
Design
Prospective analysis of the Longitudinal Studies of Child Abuse and Neglect interview data when children were 4, 6, 8, 12 and 14 years old.
Setting
Children reported or at risk for maltreatment in the South, East, Midwest, Northwest, and Southwest United States LONGSCAN sites
Participants
933 children.
Main Exposures
Eight categories of adversity (psychological maltreatment, physical abuse, sexual abuse, neglect, caregiver’s substance use/alcohol abuse, caregiver’s depressive symptoms, caregiver treated violently, and criminal behavior by household member) experienced during the first 6 years of life, the second six years of life, the most recent 2 years, and overall adversity
Outcome Measures
Child health problems including poor health, illness requiring a doctor, somatic complaints and any health problem at age 14.
Results
More than 90% of the youth had experienced an adverse childhood event by age 14. There was a graded relationship between adverse childhood exposures and any health problem, while 2 and ≥3 adverse exposures were associated with somatic complaints. Recent adversity uniquely predicted poor health, somatic complaints and any health problem.
Conclusions
Childhood adversities, particularly recent adversities, already impair the health of young adolescents. Increased efforts to prevent and mitigate these experiences may improve the health of adolescents and adults.
Keywords: child maltreatment, adverse childhood experiences, health outcomes
Introduction
The incidence of child maltreatment is higher in adolescents than in younger children, but is less likely to be reported.1 The Fourth National Incidence Survey of Child Abuse and Neglect found that about 21/1000 adolescents ages 12 - 14 were maltreated compared to 8.5/100 children ages 0 – 2 years.2,3 Only about 8/1000 children in this adolescent age group were actually reported to child protective services (CPS) for maltreatment. Under-reporting may be due to assumptions that maltreatment is less harmful for adolescents than younger children.
Child maltreatment and other adverse childhood experiences (ACEs) have been linked to depressed mood, anxiety, posttraumatic stress disorder symptoms, risk-taking behavior, early pregnancy, eating disorders, weight problems, substance use, STD treatment, suicide attempts, and mental health treatment in adolescents.4-13 Few studies have examined the relationship between ACEs and adolescent physical health.10,14
Previous studies have demonstrated that exposure to ACEs is modestly related to health problems in younger children.15,16 These associations appear to begin as early as age 6 years15 and persist at age 12 years,16 and include somatic complaints as well as poor health.17 Recent adversities, as opposed to more remote adversities, may have a stronger impact on children’s health.18
Other studies have found a significant relationship between ACEs and health risk behaviors, health status and disease among adults.19-26 The CDC-Kaiser ACE studies found a strong dose-response relationship between ACEs and adult health problems including ischemic heart disease, cancer, chronic lung disease, skeletal fractures, and liver disease. The mechanism for the development of some diseases appears to be related to unhealthy behaviors; adults who experienced ACEs were more likely to engage in risky health behaviors including alcohol and drug abuse, smoking, and physical inactivity.21,27-29
We sought to examine whether there is a dose-response relationship between ACE’s and health problems in early adolescence. This study examined the relationship between both the overall exposure and the timing of exposure of ACEs to health problems in early adolescence. We hypothesized that a higher number of ACEs would be associated with poor health and/or somatic complaints, that recent adversities would more strongly predict negative health outcomes and that this relationship would be stronger than previously shown for younger children.
Methods
Participants and Study Design
Data collected by the Consortium for LONGitudinal Studies of Child Abuse and Neglect (LONGSCAN), a consortium of a coordinating center and 5 study sites, were analyzed.30 The LONGSCAN sites are described in more detail in Table 1. The study sites represent different geographical regions with different levels of risk for maltreatment, but share common measures of child and family function, exposure to maltreatment, and health status, collected according to commonly shared age-specific protocols.30
Table 1. Description of LONGSCAN Samples.
| Site (N) | Geographic Location |
Risk Group | Comparison Group |
|---|---|---|---|
| East (197) EA |
Urban | Either failure to thrive at <2 years of age or mother with prenatal drug use or HIV infected. |
Same pediatric clinic, adequate growth, and no special risk factors. |
| South (173) SO |
Urban, Suburban, and Rural |
At-risk child reported to CPS by age 4. |
Matched controls not reported to CPS. |
| Midwest (176) MW |
Urban | Family reported to CPS and either 6 months of family intervention or usual CPS intervention. |
Neighborhood controls |
| Northwest (183) NW |
Urban & Rural |
Children with substantiated report to CPS before age 5 years and judged to be at moderate risk. |
Children with unsubstantiated report to CPS before age 5 years and judged to be at moderate risk. |
| Southwest (204) SW |
Urban | Children removed from families and placed in foster care. |
Children returned home by age 4 years. |
Data on LONGSCAN participants who had completed an age 14 interview were analyzed. Of the 1354 children enrolled in the LONGSCAN studies at baseline (either age 4 or 6), 933 (68.9%) had completed an age 14 interview, including health outcomes. The decline in the number of participants from age 4 to age 14 was due primarily to loss to follow-up although there were 8 deaths. Comparison of demographic characteristics revealed no differences between those included in the analyses and those not included. The demographic description of the sample is presented in Table 2.
Table 2. Description of Sample and Youth Health Outcomes (N =933).
| Variable | N (%) |
|---|---|
| Gender | |
| Male | 457 (49.0%) |
| Female | 476 (51.0%) |
| Race | |
| White | 232 (24.9%) |
| African American | 528 (56.6%) |
| Other | 173 (18.5%) |
| Site | |
| EA | 197 (21.1%) |
| SO | 173 (18.5%) |
| MW | 176 (18.9%) |
| NW | 183 (19.6%) |
| SW | 204 (21.9%) |
| Marital Status (Age 14) | |
| Never married | 317 (34.0%) |
| Married | 354 (37.9%) |
| Formerly Married | 258 (27.7%) |
| Unknown | 4 (0.4%) |
| Family Income (Age 14) | |
| Below $20K | 372 (39.9%) |
| $20K Above | 521 (55.8%) |
| Unknown | 40 (4.3%) |
| Health Outcomes (Age 14) | |
| Poor health | 70 (7.5%) |
| Somatic complaints | 86 (9.2%) |
| Illness | 109 (11.7%) |
| Any reported health problem | 254 (27.2%) |
Human Subjects
Each participating study site, as well as the coordinating center, obtained independent approval from their local Institutional Review Board. Caregivers provided informed consent while youth provided assent for their participation.
Variables and Their Measurement
Using the CDC-Kaiser ACE studies21 as a model, age-appropriate measures were selected from the available instruments administered to the LONGSCAN sample. There was some variation of the time frame used in each question, because some measures asked about events in the prior year, while others asked about the prior 6 months. Analyses included data collected during interviews at ages 4, 6, 8, 12, and 14. For several variables indicating adversity, different measures were used to assess the variable at different ages. In order to construct a risk profile, each predictor and outcome variable was dichotomized, unless otherwise specified.
Demographic Control Variables
Demographic variables were assessed at each age. Time-invariant demographic variables (child’s race/ethnicity, gender, and study site) were collected at age 4 or 6. For time-varying variables (e.g., caregiver’s marital status and family income), data collected at the most recent time point, the age 14 interview, were used in the block of control variables. To increase power, child’s race/ethnicity was categorized as white, African American, or other, while caregiver’s marital status was divided into married, never married, or formerly married. Family income was dichotomized into above $20,000 annually or at or below $20,000 annually.
Adverse Exposures
Analogous to the ACES used in the CDC-Kaiser ACE studies,21 4 categories of maltreatment (psychological maltreatment, physical abuse, sexual abuse, and neglect) and 4 measures of other household dysfunction (caregiver’s substance use/alcohol abuse, caregiver’s depressive symptoms, caregiver being treated violently, and criminal behaviorby household member) were identified as possible adverse experiences. An indicator for each of the measures of adversity was specified. The assessment periods were categorized as adversities occurring in the first 6 years of life (assessed at 4 and 6 years), occurring in the second 6 years of life (assessed at 8 and 12 years), or occurring recently (assessed at age 14). These three age periods of potential adversity were also combined to produce an overall variable noting whether the adverse events had ever occurred.
Child maltreatment
Each site reviewed CPS records for all lifetime reports of child maltreatment, at least every two years. Based on prior research suggesting that distinguishing between allegations and substantiations is not useful,31,32 each site coded all official reports of alleged child maltreatment using a modified33 version of the Maltreatment Classification Scheme.34 Reports were coded to allow reports to be linked to the time period of the child’s assessment. For each time period, four general indicators of child maltreatment were created, each dichotomized, based on the coding of these allegations:
physical abuse (any blows or injury to the body; violent handling, choking, burning, shaking, or nondescript injury);
sexual abuse (any sexual exposure, exploitation, molestation, or penetration);
psychological maltreatment (any threats to psychological safety and security, lack of acceptance and threats to self-esteem, or failure to allow age-appropriate autonomy), and
neglect (any failure to provide for a child’s physical needs, or lack of adequate supervision to ensure a child’s safety).
Household Dysfunction
Caregiver’s Substance Use
The CAGE, a commonly used screening measure of problem alcohol use, was administered at age 4 to caregivers who reported having ever used alcoholic beverages (a caregiver who did not report such usage was coded as not abusing alcohol).35 Any affirmative response was considered indicative of substance use by the parent when the child was age 4.
The Caregiver Substance Use measure, developed by LONGSCAN, was administered at ages 8, 12, and 14.36 It asked a series of yes/no questions about caregiver’s use of common legal (tobacco and alcohol) and illegal substances (marijuana, cocaine, hallucinogens, heroin, and stimulants). Any current use of illicit substances and/or current “daily” use of alcohol were coded as substance use present.
Caregiver’s Depressive Symptoms
Caregiver’s depressive symptoms were measured using two scales. The Center for Epidemiological Studies Depression Scale (CES-D),37 which measures symptoms associated with depression in the past week, was administered to caregivers at child ages of 4, 6, 12, and 14. The CES-D has demonstrated good construct validity and reliability. A response score ≥ 16 on the CES-D is considered indicative of significant? depressive symptoms. The Brief Symptom Inventory, administered at child’s age 8, measures a broader range of psychological symptoms in the last week including depression.38,39 Scores were interpreted by comparison to age-appropriate norms.
Caregiver Treated Violently
The partner-to-partner Conflict Tactics Scale40 was administered to the primary maternal caregiver at child age 6, 8, 12, and 14 to assess intimate partner violence between the caregiver and a partner that had occurred during the previous 3 months. The caregiver was coded as having been treated violently if she had been the victim of one or more of the following: kicking, biting, punching, hit with an object, being beaten up, threatened with a knife or gun or the victim of a knife or a gun.
Criminal Behavior by Household Member
The Child Life Events measure, developed by LONGSCAN36 and administered to caregivers at ages 6, 8, 12, and 14, asks whether anyone in the child’s household was jailed or imprisoned in the past year. Affirmative responses were coded as present for “criminal behavior in the household.”
Construction of the Adversity Index
Analogous to the methods used in the CDC-Kaiser ACE studies, the 8 dichotomous scores on the indices of childhood abuse and household dysfunction were summed to produce an overall Adversity Index, with scores ranging from 0 to 8.21 Separate scores were calculated for adversity during the first 6 years of life (assessed using data collected at ages 4 and 6), during the second six year of life (ages 8 to 12), and in the most recent two years (age 14), as well as overall adversity (occurring at any age).
Assessment of Youth Health at Age 14
Poor Health
The caregiver completed the Child Health Assessment and answered the question “In general, would you say that [child]’s health is excellent, good, fair, or poor. Ratings of poor or fair were coded as poor health and ratings of good and excellent as good health.
Illness Requiring Medical Attention
The Child Life Events report asked the caregiver whether the youth had had a serious illness in the past year.41 If the caregiver answered yes, she was asked whether the youth had seen a doctor for the illness. If an illness required medical attention, the answer was coded as present. The answers were dichotomized as yes or no; a “don’t know/refused response” was coded as “no”.
Somatic Complaints
The caregiver completed the Child Behavior Checklist (CBCL), a commonly used measures of child behavior to assess youth somatic complaints.42 The CBCL includes several items assessing common physical complaints of uncertain origin, including headaches, nausea, dizziness, tiredness, eye problems, aches, skin problems, stomach problems, vomiting, nightmares, and constipation.
Composite Health Outcomes
Children characterized by the caregiver as having poor health, illness requiring a doctor or somatic complaints were classified as having any health problem.
Statistical Analysis
The analyses were conducted using Statistical Package for the Social Sciences (SPSS, Version 15). Preliminary descriptive analyses were conducted for each of the control, predictor, and outcome variables. Missing data (less than 2% of cases) was eliminated in a casewise fashion. For each outcome variable, logistic regression was used to test the relationship of the Adversity Index score (categories 0, 1, 2, and ≥ 3 adversities) to the outcome, after entering the control variables (study site, child’s gender, child’s race, caregiver’s marital status, and family income). Outcomes of interest included poor health, illness requiring a doctor, somatic complaints, and a composite indicator of poor health (any poor health). Analysis first examined the number of different adversities that had ever occurred, as a composite dichotomous variable, and then examined separately adversities occurring in first 6 years of life, in second 6 years of life, and within the previous two years (age 13 and 14 years). Finally, a multivariate model was created that included control variables, and, as predictors, the number of ACEs occurring in each of these three time periods.
RESULTS
Youth Health
More than one quarter of the youth (27.2%) had a health problem including reported poor health, illness requiring a doctor, or somatic complaints (Table 2).
Adverse Childhood Exposures
The prevalence, type, and timing of adverse exposures are shown in Table 3. The majority of the adolescents had been exposed to neglect and to caregiver depression (approximately 57% in each case), the most common adverse exposures. Only 8.7% of the children in the sample had never experienced any of the measured adversities during the first fourteen years of life. The majority had experienced three or more adversities din their life time.
Table 3. Frequency of Adverse Childhood Exposures from the first 6 years of life: through age 14.
| ADVERSITY | Age | Ever | ||
|---|---|---|---|---|
| 0-6 | 6-12 | 13-14 | ||
| Physical Abuse | 22.0% | 16.0% | 6.5% | 33.4% |
| Sexual Abuse | 9.9% | 5.8% | 1.9% | 15.1% |
| Psychological Abuse | 24.3% | 13.8% | 5.6% | 33.3% |
| Neglect | 50.5% | 21.9% | 6.1% | 57.3% |
| Caregiver Substance Use | 15.3% | 13.2% | 9.8% | 31.9% |
| Caregiver Depression | 41.9% | 25.3% | 24.9% | 56.6% |
| Caregiver Treated Violently | 5.8% | 23.7% | 16.5% | 36.2% |
| Criminal Behavior in Home | 20.9% | 29.5% | 12.9% | 42.6% |
| TOTAL # | ||||
| 0 | 20.5% | 32.8% | 50.2% | 8.7% |
| 1 | 26.4% | 24.9% | 28.2% | 16.3% |
| 2 | 22.6% | 20.2% | 13.4% | 17.8% |
| 3+ | 30.5% | 22.2% | 8.3% | 57.2% |
Association of Adverse Childhood Experiences with Health
There was an apparent graded relationship between adverse exposures and any heath problem, as shown in Table 4. In addition, 2 and ≥3 adverse exposures showed odds ratios of 8.91 and 9.25 respectively with somatic complaints, while an increased number of adverse exposures trended towards a graded relationship with illness requiring a doctor.
Table 4. Multivariate analysis number of ACEs (ever) and adjusted odds ratios of age: 14 health outcomes (N=933).
| Health outcome | Number Categories |
Adjusted Odds Ratio |
95% CI |
|---|---|---|---|
| Poor Health | 0 | 1.00 | |
| 1 | 1.85 | 0.50-6.92 | |
| 2 | 2.66 | 0.74-9.52 | |
| 3+ | 1.55 | 0.54-9.97 | |
| Illness Requiring Doctor | 0 | 1.00 | |
| 1 | 3.12 | 0.87-11.30 | |
| 2 | 3.40 | 0.96-12.09 | |
| 3+ | 3.68 | 1.11-12.16 | |
| Somatic Complaints | 0 | 1.00 | |
| 1 | 4.19 | 0.50-34.90 | |
| 2 | 8.91 | 1.15-68.83 | |
| 3+ | 9.25 | 1.25-68.23 | |
| Any Problem | 0 | 1.00 | |
| 1 | 3.09 | 1.22-7.84 | |
| 2 | 3.61 | 1.44-9.02 | |
| 3+ | 3.91 | 1.65-9.26 |
Note: Adjusted for child’s gender, child’s ethnicity, caregiver marital status and family income.
Boldface indicates significance at p < .05
ACEs, adverse childhood experiences
CI, confidence intervals
Separating the effects of adverse exposures during the first 6 years of life, the second 6 years of life, and the most recent two years of life demonstrated some differential effects (Table 5). Greater adversities during the first 6 years of life were inconsistently associated with illness requiring a doctor, with somatic complaints and with any health problem. There was little effect of adversities in the second 6 years of life. Recent adversities, however, had quite strong effects on poor child health, somatic complaints, and any health problem. There was a strong graded relationship between the number of adversities and any health problem. The odds ratio increased for both poor health and somatic complaints when there were 2 and ≥3 adversities.
Table 5. Number of ACEs during age period and adjusted odds ratios of health outcomes; multivariate analyses (N=933).
| Health outcome | # | Early (0-6) | Later (6-12) | Concurrent (13-14) |
|---|---|---|---|---|
|
| ||||
| OR (CI) | OR (CI) | OR (CI) | ||
| Poor Health | 0 | 1.00 | 1.00 | 1.00 |
| 1 | 1.31 (.060-2.87) | 1.18 (0.58-2.40) | 1.87 (0.98-3.57) | |
| 2 | 0.94 (0.40-2.24) | 0.92 (0.42-2.00) | 2.59 (1.16-5.79) | |
| 3+ | 0.83 (0.35-1.93) | 0.83 (0.35-1.93) | 3.78 (1.59-8.97) | |
| Illness Req. Doctor | 0 | 1.00 | 1.00 | 1.00 |
| 1 | 1.64 (0.80-3.36) | 1.12 (0.63-2.01) | 1.24 (0.74-2.07) | |
| 2 | 1.59 (0.75-3.34) | 1.14 (0.62-2.10) | 1.47 (0.77-2.78) | |
| 3+ | 2.21 (1.09-4.50) | 0.81 (0.42-1.59) | 1.16 (0.52-2.61) | |
| Somatic Complaints | 0 | 1.00 | 1.00 | 1.00 |
| 1 | 1.90 (0.81-4.47) | 1.50 (0.74-3.02) | 1.67 (0.92-3.03) | |
| 2 | 1.29 (0.52-3.24) | 1.46 (0.71-3.01) | 2.27 (1.13-4.59) | |
| 3+ | 2.12 (0.90-5.00) | 1.08 (0.51-2.31) | 3.47 (1.61-7.50) | |
| Any Problem | 0 | 1.00 | 1.00 | 1.00 |
| 1 | 1.66 (0.98-2.82) | 1.06 (0.67-1.67) | 1.71 (1.16-2.53) | |
| 2 | 1.57 (0.90-2.74) | 1.08 (0.67-1.73) | 1.86 (1.12-3.07) | |
| 3+ | 1.91 (1.12-3.28) | 0.82 (0.50-1.37) | 2.38 (1.32-4.31) | |
Note: Adjusted for child’s gender, child’s ethnicity, caregiver marital status and family income. All adversities were entered simultaneously; thus, reported effects for adversities from one time frame include controls for adversities from the other time frames.
Boldface indicates significance at p > .05
ACEs, adverse childhood experiences
OR, odds ratio
CI, confidence intervals
Discussion
More than 90% of this sample of young adolescents had experienced some adversity during their 14 years of life and more than a quarter had at least one health problem. Both overall exposure to adversity and concurrent exposure to adversity were associated with poor health. There was a significant relationships between exposure to adversities and any health problem and increasing exposures and somatic complaints and illness requiring a doctor.
This study shows some of the same apparent linear relationship between adversities and child outcomes that was demonstrated in the CDC-Kaiser ACE studies, although our study group was quite different from the CDC-Kaiser ACE group.27,28,43-48 More than 90% of our high risk group had at least one adverse exposure, compared to only half of the CDC-Kaiser ACE study participants.
Recent advances in neuroscience have provided a framework that begins to explain how childhood adversity may cause these negative health outcomes.49,50 Exposure to violence and other childhood stress has been associated with a number of neurobiological and behavioral findings including smaller prefrontal cortex volume, impaired prefrontal cortex functioning, chronic activation of the hypothalamic-pituitary-adrenal axis, impaired responses to psychosocial stressors, and elevated inflammation levels.51,52 Childhood exposure to violence has been linked to gene modifications.53-55 Cumulative or chronic exposure to adverse childhood events may lead to allostatic overload, causing neurobiological responses to become pathogenic rather than protective.51,56 Excessive, prolonged, or frequent activation of the body’s stress-response system may result in toxic stress for the child impairing long term health.49,50,56
We found relatively strong effects of concurrent (age 13 – 14) adversities on any health problem, somatic complaints, and caregiver’s report of poor health. This is consistent with previous research which found the strongest effects for most recent adversities.16 In a study examining how maltreatment affects certain adolescent behaviors such as drug and alcohol use and delinquency, concurrent maltreatment of the adolescent was more significantly associated with adolescent behavior problems than maltreatment occurring earlier in childhood.57 These findings suggest that recent ACEs have more negative consequences for the adolescent than has been previously appreciated. The effects of adolescent exposure to adversities are often overlooked or minimized, but can be significant.58
The health consequences of adversities occurring during child ages 7 – 12 were limited and this differed from the findings of our previous study of this sample. In that study of outcomes assessed at age 12, the sample’s exposure to adversities in the second 6 years of their life was associated with any health problem, child reports of poor health, somatic complaints, and illness requiring a doctor.16 The limited effect found in the current study supports our hypothesis that the most recent adversities more strongly predict negative health outcomes than do adversities occurring at any particular developmental period.
We did find some evidence of an emerging effect of very early (i.e., through age 6) adversity, which has also been seen in research examining psychosocial outcomes.59 Other studies have demonstrated that the type of maltreatment or adversity experienced at particular developmental stages may play a role in determining particular outcomes.57,60
Limitations and Comparison with Other Research
There are several cautions to be considered in interpreting these results. Because we examined ACEs similar to those used in the CDC-Kaiser studies, exposures to other adversities or risks were not included that may have influenced the health outcomes. Also, because we used the CDC-Kaiser study as a model for our study, we did not examine the cumulative effects of adversities over time; rather we simply examined whether particular adversities had occurred either over particular time frames or over the whole course of the period examined. For that same reason, we used simple logistic regression modeling. Future research might use more sophisticated approaches to modeling that allow for a more nuanced capturing of the degree to which exposure to adversities changes over time. As well, future research should include a more detailed assessment of health outcomes, including the effects of earlier health problems as controls.
Because the study tools examining household dysfunction did not assess the whole time period since the previous caregiver-child interview, the ACE exposure may have been even greater than the identified exposure. Finally, our reference group for analyses was the relatively small number of youth who had no exposure to adversities as assessed, and this is a challenge to generalizability.
Conclusion
Childhood adversities including child maltreatment influence young adolescents’ health, illness and somatic complaints, beginning in childhood and continuing into adolescence. These findings suggest that greater efforts to minimize or ameliorate childhood adversities, especially those occurring during adolescence, should enhance the health of adolescents and adults. Further research should focus on developing prevention programs that improve and enhance parenting as well as intervention programs to address common adversities.
Acknowledgments
Funding Support: This research was supported by grants to the Consortium for Longitudinal Studies on Child Abuse and Neglect (LONGSCAN) from the Children’s Bureau, Office on Child Abuse and Neglect, Administration for Children, Youth, and Families.
Abbreviations
- ACE
Adverse childhood experience
- CPS
Child protective services
- LONGSCAN
LONGitudinal studies of Child Abuse and Neglect
- CES-D
Center for Epidemiological Studies Depression Scale
- CBCL
Child Behavior Checklist
- OR
Odds ratio
- CI
Confidence interval
Footnotes
Conflict of interest: EGF, MDE, and DKR have provided expert testimony in cases of alleged child maltreatment. Any monies received for the testimony are paid to their respective institutions. HD has provided expert testimony and sometimes received payment for this testimony. EGF, HD, and DKR have received honoraria and travel reimbursement for speaking at other institutions or conferences. RT, DJE, EMH and LJP have no disclosures.
Contributor Information
Emalee G. Flaherty, Department of Pediatrics, Ann & Robert H. Lurie Children’s Hospital of Chicago and Northwestern University Feinberg School of Medicine, Chicago, IL.
Richard Thompson, Department of Research, Juvenile Protective Association, Chicago, IL <RThompson@juvenile.org>.
Howard Dubowitz, Department of Pediatrics, University of Maryland, Baltimore, MD <hdubowitz@peds.umaryland.edu>.
Elizabeth M Harvey, Department of Maternal and Child Health, UNC Gillings School of Global Public Health, Chapel Hill, NC <lizzie.harvey@gmail.com>.
Diana J. English, School of Social Work, University of Washington, Seattle, WA <Diana.english@gmail.com>.
Mark D. Everson, Department of Psychiatry, University of North Carolina, Chapel Hill, NC <Mark_Everson@med.unc.edu>.
Laura J. Proctor, Judge Baker Children’s Center, Harvard Medical School, Boston, MA <lproctor@jbcc.harvard.edu>.
Desmond K. Runyan, Department of Pediatrics and CH Kempe Center, University of Colorado School of Medicine, Aurora, CO <Des.Runyan@UCDenver.edu>.
References
- 1.Council on Scientific Affairs AMA. Coble YD, Estes EH, et al. Adolescents as Victims of Family Violence. JAMA. 1993;270(15):1850–1856. [PubMed] [Google Scholar]
- 2.U. S. Department of Health and Human Services . Administration on Children, Families Ya. Child Maltreatment 2010: U.S. Government Printing Office; 2010. [Google Scholar]
- 3.National Child Abuse & Neglect Data Sytem. 2010 www.childwelfare.gov/can/statistics/
- 4.Mechanic D, Hansell S. Divorce, Family Conflict, and Adolescents’ Well-Being. J. Health Soc. Behav. 1989;30(1):105–116. [PubMed] [Google Scholar]
- 5.Margolin G, Vickerman KA, Oliver PH, Gordis EB. Violence Exposure in Multiple Interpersonal Domains: Cumulative and Differential Effects. J. Adolesc. Health. 2010;47(2):198–205. doi: 10.1016/j.jadohealth.2010.01.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Boynton-Jarrett R, Ryan LM, Berkman LF, Wright RJ. Cumulative Violence Exposure and Self-Rated Health: Longitudinal Study of Adolescents in the United States. Pediatrics. 2008;122(5):961–970. doi: 10.1542/peds.2007-3063. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Bair-Merritt MH, Blackstone M, Feudtner C. Physical Health Outcomes of Childhood Exposure to Intimate Partner Violence: A Systematic Review. Pediatrics. 2006;117(2):e278–290. doi: 10.1542/peds.2005-1473. [DOI] [PubMed] [Google Scholar]
- 8.Fiscella K, Kitzman HJ, Cole RE, Sidora KJ, Olds D. Does child abuse predict adolescent pregnancy? Pediatrics. 1998;101(4):620–624. doi: 10.1542/peds.101.4.620. [DOI] [PubMed] [Google Scholar]
- 9.Hibbard RA, Brack CJ, Rauch S, Orr DP. Abuse, feelings, and health behaviors in a student population. Am. J. Dis. Child. 1988;142(3):326–330. doi: 10.1001/archpedi.1988.02150030100031. [DOI] [PubMed] [Google Scholar]
- 10.Hussey JM, Chang JJ, Kotch JB. Child Maltreatment in the United States: Prevalence, Risk Factors, and Adolescent Health Consequences. Pediatrics. 2006;118(3):933–942. doi: 10.1542/peds.2005-2452. [DOI] [PubMed] [Google Scholar]
- 11.Johnson JG, Cohen P, Kasen S, Brook JS. Childhood adversities associated with risk for eating disorders or weight problems during adolescence or early adulthood. Am. J. Psychiatry. 2002;159(3):394–400. doi: 10.1176/appi.ajp.159.3.394. [DOI] [PubMed] [Google Scholar]
- 12.Lansford JE, Dodge KA, Pettit GS, Bates JE, Crozier J, Kaplow J. A 12-year prospective study of the long-term effects of early child physical maltreatment on psychological, behavioral, and academic problems in adolescence. Arch. Pediatr. Adolesc. Med. 2002;156(8):824–830. doi: 10.1001/archpedi.156.8.824. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Jonson-Reid M, Kohl PL, Drake B. Child and Adult Outcomes of Chronic Child Maltreatment. Pediatrics. 2012;129(5):839–845. doi: 10.1542/peds.2011-2529. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Lanier P, Jonson-Reid M, Stahlschmidt MJ, Drake B, Constantino J. Child Maltreatment and Pediatric Health Outcomes: A Longitudinal Study of Low-income Children. J. Pediatr. Psychol. 2010;35(5):511–522. doi: 10.1093/jpepsy/jsp086. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Flaherty EG, Thompson R, Litrownik AJ, et al. Effect of Early Childhood Adversity on Child Health. Arch. Pediatr. Adolesc. Med. 2006;160(12):1232–1238. doi: 10.1001/archpedi.160.12.1232. [DOI] [PubMed] [Google Scholar]
- 16.Flaherty EG, Thompson R, Litrownik AJ, et al. Adverse Childhood Exposures and Reported Child Health at Age 12. Academic Pediatrics. 2009;9(3):150–156. doi: 10.1016/j.acap.2008.11.003. [DOI] [PubMed] [Google Scholar]
- 17.van Tilburg MAL, Runyan DK, Zolotor AJ, et al. Unexplained gastrointestinal symptoms after abuse in a prospective study of children at risk for abuse and neglect. Ann Fam Med. 2010;8(2):134–140. doi: 10.1370/afm.1053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.McNutt L-A, Carlson BE, Persaud M, Postmus J. Cumulative Abuse Experiences, Physical Health and Health Behaviors. Ann. Epidemiol. 2002;12(2):123–130. doi: 10.1016/s1047-2797(01)00243-5. [DOI] [PubMed] [Google Scholar]
- 19.Dube SR, Felitti VJ, Dong M, Giles WH, Anda RF. The impact of adverse childhood experiences on health problems: evidence from four birth cohorts dating back to 1900. Prev. Med. 2003;37(3):268–277. doi: 10.1016/s0091-7435(03)00123-3. [DOI] [PubMed] [Google Scholar]
- 20.Dong M, Anda RF, Dube SR, Giles WH, Felitti VJ. The relationship of exposure to childhood sexual abuse to other forms of abuse, neglect, and household dysfunction during childhood. Child Abuse Negl. 2003;27(6):625–639. doi: 10.1016/s0145-2134(03)00105-4. [DOI] [PubMed] [Google Scholar]
- 21.Felitti VJ, Anda RF, Nordenberg D, et al. Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults. The Adverse Childhood Experiences (ACE) Study.[see comment] Am. J. Prev. Med. 1998;14(4):245–258. doi: 10.1016/s0749-3797(98)00017-8. [DOI] [PubMed] [Google Scholar]
- 22.Anda RF, Felitti VJ, Bremner JD, et al. The enduring effects of abuse and related adverse experiences in childhood. A convergence of evidence from neurobiology and epidemiology. Eur. Arch. Psychiatry Clin. Neurosci. 2006;256(3):174–186. doi: 10.1007/s00406-005-0624-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Danese A, Moffitt TE, Harrington H, et al. Adverse Childhood Experiences and Adult Risk Factors for Age-Related Disease: Depression, Inflammation, and Clustering of Metabolic Risk Markers. Arch. Pediatr. Adolesc. Med. 2009;163(12):1135–1143. doi: 10.1001/archpediatrics.2009.214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Wegman HL, Stetler C. A Meta-Analytic Review of the Effects of Childhood Abuse on Medical Outcomes in Adulthood. Psychosom. Med. 2009;71:805–812. doi: 10.1097/PSY.0b013e3181bb2b46. [DOI] [PubMed] [Google Scholar]
- 25.Cuijpers P, Smit F, Unger F, Stikkelbroek Y, ten Have M, de Graaf R. The disease burden of childhood adversities in adults: A population-based study. Child Abuse Negl. 2011;35(11):937–945. doi: 10.1016/j.chiabu.2011.06.005. [DOI] [PubMed] [Google Scholar]
- 26.Widom CS, Czaja SJ, Bentley T, Johnson MS. A Prospective Investigation of Physical Health Outcomes in Abused and Neglected Children: New Findings From a 30-Year Follow-Up. Am. J. Public Health. 2012;102(6):1135–1144. doi: 10.2105/AJPH.2011.300636. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Anda RF, Croft JB, Felitti VJ, et al. Adverse childhood experiences and smoking during adolescence and adulthood.[see comment] JAMA. 1999;282(17):1652–1658. doi: 10.1001/jama.282.17.1652. [DOI] [PubMed] [Google Scholar]
- 28.Anda RF, Whitfield CL, Felitti VJ, et al. Adverse childhood experiences, alcoholic parents, and later risk of alcoholism and depression. Psychiatr. Serv. 2002;53(8):1001–1009. doi: 10.1176/appi.ps.53.8.1001. [DOI] [PubMed] [Google Scholar]
- 29.Dube SR, Felitti VJ, Dong M, Chapman DP, Giles WH, Anda RF. Childhood abuse, neglect, and household dysfunction and the risk of illicit drug use: the adverse childhood experiences study. Pediatrics. 2003;111(3):564–572. doi: 10.1542/peds.111.3.564. [DOI] [PubMed] [Google Scholar]
- 30.Runyan DK, Curtis PA, Hunter WM, et al. Longscan: a consortium for longitudinal studies of maltreatment and the life course of children. Aggression and Violent Behavior. 1998;3(3):275. [Google Scholar]
- 31.English DJ, Upadhyaya MP, Litrownik AJ, et al. Maltreatment’s wake: the relationship of maltreatment dimensions to child outcomes. Child Abuse Negl. 2005;29(5):597–619. doi: 10.1016/j.chiabu.2004.12.008. [DOI] [PubMed] [Google Scholar]
- 32.Hussey JM, Marshall JM, English DJ, et al. Defining maltreatment according to substantiation: distinction without a difference? Child Abuse Negl. 2005;29(5):479, 492. doi: 10.1016/j.chiabu.2003.12.005. [DOI] [PubMed] [Google Scholar]
- 33.English DJ, Bangdiwala SI, Runyan DK. The dimensions of maltreatment: introduction. Child Abuse Negl. 2005;29(5):441–460. doi: 10.1016/j.chiabu.2003.09.023. [DOI] [PubMed] [Google Scholar]
- 34.Barnett D, Manly JT, Cicchetti D. Defining child maltreatment: The interface between policy and research. Ablex; Norwood, NJ: 1993. [Google Scholar]
- 35.Turner CF, Lessler JT, Gfroerer JC. Services USDoHaH. Washington: Survey measurement of drug use: Methodological studies; p. DC1992. [Google Scholar]
- 36.Hunter WM, Cox CE, Teagle S, et al. Measures for Assessment of Functioning and Outcomes in Longitudinal Research on Child Abuse. Vol 22003 [Google Scholar]
- 37.Radloff LS. The CES-D Scale: A self-report depression scale for research in the general population. Applied Psychological Measurement. 1977;1:385–401. [Google Scholar]
- 38.Derogatis LR. Brief Symptom Inventory. Clinical Psychometric Research; Baltimore, MD: 1975. [Google Scholar]
- 39.Derogatis LR. BSI Brief Symptom Inventory; Administration, Scoring, and Procedures Manual. 4th ed National Computer Systems; Minneapolis, MN: 1993. [Google Scholar]
- 40.Straus MA. Measuring intrafamily conflict and violence: The conflict tactics scale. Journal of Marriage and the Family. 1979;41:75–88. [Google Scholar]
- 41.Coddington RD. The significance of life events as etiologic factors in the diseases of children. II. A study of a normal population. J. Psychosom. Res. 1972;16(3):205–213. doi: 10.1016/0022-3999(72)90045-1. [DOI] [PubMed] [Google Scholar]
- 42.Achenbach TM, Edelbrock C. Manual for the child behavior checklist/4-18 and 1991 profile. Departent of Psychiatry, University of Vermont; Burlington: 1991. [Google Scholar]
- 43.Felitti VJ. Childhood sexual abuse, depression, and family dysfunction in adult obese patients: a case control study.[see comment] South. Med. J. 1993;86(7):732–736. doi: 10.1097/00007611-199307000-00002. [DOI] [PubMed] [Google Scholar]
- 44.Anda RF, Chapman DP, Felitti VJ, et al. Adverse childhood experiences and risk of paternity in teen pregnancy. Obstet. Gynecol. 2002;100(1):37–45. doi: 10.1016/s0029-7844(02)02063-x. [DOI] [PubMed] [Google Scholar]
- 45.Chapman DP, Whitfield CL, Felitti VJ, Dube SR, Edwards VJ, Anda RF. Adverse childhood experiences and the risk of depressive disorders in adulthood. J. Affect. Disord. 2004;82(2):217–225. doi: 10.1016/j.jad.2003.12.013. [DOI] [PubMed] [Google Scholar]
- 46.Dube SR, Anda RF, Felitti VJ, Chapman DP, Williamson DF, Giles WH. Childhood abuse, household dysfunction, and the risk of attempted suicide throughout the life span: findings from the Adverse Childhood Experiences Study.[see comment] JAMA. 2001;286(24):3089–3096. doi: 10.1001/jama.286.24.3089. [DOI] [PubMed] [Google Scholar]
- 47.Dube SR, Anda RF, Felitti VJ, Croft JB, Edwards VJ, Giles WH. Growing up with parental alcohol abuse: exposure to childhood abuse, neglect, and household dysfunction. Child Abuse Negl. 2001;25(12):1627–1640. doi: 10.1016/s0145-2134(01)00293-9. [DOI] [PubMed] [Google Scholar]
- 48.Dube SR, Anda RF, Felitti VJ, Edwards VJ, Williamson DF. Exposure to abuse, neglect, and household dysfunction among adults who witnessed intimate partner violence as children: implications for health and social services. Violence Vict. 2002;17(1):3–17. doi: 10.1891/vivi.17.1.3.33635. [DOI] [PubMed] [Google Scholar]
- 49.Shonkoff JP, Garner AS, COMMITTEE ON PSYCHOSOCIAL ASPECTS OF CHILD FAMILY HEALTH et al. The Lifelong Effects of Early Childhood Adversity and Toxic Stress. Pediatrics. 2012;129(1):e232–e246. doi: 10.1542/peds.2011-2663. [DOI] [PubMed] [Google Scholar]
- 50.Committee on Psychosocial Aspects of Child Family Health, Committee on Early Childhood A, Dependent Care,, Pediatrics SoDB et al. Early Childhood Adversity, Toxic Stress, and the Role of the Pediatrician: Translating Developmental Science Into Lifelong Health. Pediatrics. 2012;129(1):e224–e231. doi: 10.1542/peds.2011-2662. [DOI] [PubMed] [Google Scholar]
- 51.Danese A, McEwen BS. Adverse childhood experiences, allostasis, allostatic load, and age-related disease. Physiol. Behav. 2012;106(1):29–39. doi: 10.1016/j.physbeh.2011.08.019. [DOI] [PubMed] [Google Scholar]
- 52.Essex MJ, Shirtcliff EA, Burk LR, et al. Influence of early life stress on later hypothalamic–pituitary–adrenal axis functioning and its covariation with mental health symptoms: A study of the allostatic process from childhood into adolescence. Dev. Psychopathol. 2011;23(Special Issue 04):1039–1058. doi: 10.1017/S0954579411000484. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Shalev I, Moffitt TE, Sugden K, et al. Exposure to violence during childhood is associated with telomere erosion from 5 to 10 years of age: a longitudinal study. Mol.Psychiatry. 2012;1:1–6. doi: 10.1038/mp.2012.32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Roth TL, Lubin FD, Funk AJ, Sweatt JD. Lasting Epigenetic Influence of Early-Life Adversity on the BDNF Gene. Biol. Psychiatry. 2009;65(9):760–769. doi: 10.1016/j.biopsych.2008.11.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Murgatroyd C, Patchev AV, Wu Y, et al. Dynamic DNA methylation programs persistent adverse effects of early-life stress. Nat. Neurosci. 2009;12(12):1559–1566. doi: 10.1038/nn.2436. [DOI] [PubMed] [Google Scholar]
- 56.Shonkoff JP, Boyce WT, McEwen BS. Neuroscience, Molecular Biology, and the Childhood Roots of Health Disparities. JAMA. 2009;301(21):2252–2259. doi: 10.1001/jama.2009.754. [DOI] [PubMed] [Google Scholar]
- 57.Thornberry TP, Ireland TO, Smith CA. The importance of timing: the varying impact of childhood and adolescent maltreatment on multiple problem outcomes. Dev. Psychopathol. 2001;13(4):957–979. [PubMed] [Google Scholar]
- 58.Thompson R, Proctor LJ, English DJ, Dubowitz H, Narasimhan S, Everson MD. Suicidal ideation in adolescence: Examining the role of recent adverse experiences. J. Adolesc. 2012;35(1):175–186. doi: 10.1016/j.adolescence.2011.03.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Kotch JB, Lewis T, Hussey JM, et al. Importance of Early Neglect for Childhood Aggression. Pediatrics. 2008;121(4):725–731. doi: 10.1542/peds.2006-3622. [DOI] [PubMed] [Google Scholar]
- 60.Manly JT, Kim JE, Rogosch FA, Cicchetti D. Dimensions of child maltreatment and children’s adjustment: contributions of developmental timing and subtype. Dev. Psychopathol. 2001;13(4):759–782. [PubMed] [Google Scholar]
