Dataset Information

An investigation of child maltreatment and epigenetic mechanisms of mental and physical health risk.

ABSTRACT: In the present investigation, differential methylation analyses of the whole genome were conducted among a sample of 548 school-aged low-income children (47.8% female, 67.7% Black, M age = 9.40 years), 54.4% of whom had a history of child maltreatment. In the context of a summer research camp, DNA samples via saliva were obtained. Using GenomeStudio, Methylation Module, and the Illumina Custom Model, differential methylation analyses revealed a pattern of greater methylation at low methylation sites (n = 197 sites) and medium methylation sites (n = 730 sites) and less methylation at high methylation sites (n = 907 sites) among maltreated children. The mean difference in methylation between the maltreated and nonmaltreated children was 6.2%. The relative risk of maltreatment with known disease biomarkers was also investigated using GenoGo MetaCore Software. A large number of network objects previously associated with mental health, cancer, cardiovascular systems, and immune functioning were identified evidencing differential methylation among maltreated and nonmaltreated children. Site-specific analyses were also conducted for aldehyde dehydrogenase 2 (ALDH2), ankyrin repeat and kinase domain containing 1 (ANKK1), and nuclear receptor subfamily 3, group C, member 1 (NR3C1) genes, and the results highlight the importance of considering gender and the developmental timing of maltreatment. For ALDH2, the results indicated that maltreated girls evidenced significantly lower methylation compared to nonmaltreated girls, and maltreated boys evidenced significantly higher methylation compared to nonmaltreated boys. Moreover, early onset-not recently maltreated boys evidenced significantly higher methylation at ALDH2 compared to nonmaltreated boys. Similarly, children with early onset-nonrecent maltreatment evidenced significantly higher methylation compared to nonmaltreated children at ANKK1. The site-specific results were not altered by controlling for genotypic variation of respective genes. The findings demonstrate increased risk for adverse physical and mental health outcomes associated with differences in methylation in maltreated children and indicate differences among maltreated children related to developmental timing of maltreatment and gender in genes involved in mental health functioning.

SUBMITTER: Cicchetti D

PROVIDER: S-EPMC5087600 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature

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An investigation of child maltreatment and epigenetic mechanisms of mental and physical health risk.

Cicchetti Dante D Hetzel Susan S Rogosch Fred A FA Handley Elizabeth D ED Toth Sheree L SL

Development and psychopathology 20161003 4pt2

In the present investigation, differential methylation analyses of the whole genome were conducted among a sample of 548 school-aged low-income children (47.8% female, 67.7% Black, M age = 9.40 years), 54.4% of whom had a history of child maltreatment. In the context of a summer research camp, DNA samples via saliva were obtained. Using GenomeStudio, Methylation Module, and the Illumina Custom Model, differential methylation analyses revealed a pattern of greater methylation at low methylation s ...[more]

PMID: 27691979

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Project description:ObjectivesTo examine associations between child maltreatment and health service use, both overall, by type and by the number of types of maltreatment reported.Design, settingCross-sectional, retrospective survey using the Juvenile Victimization Questionnaire-R2: Adapted Version (Australian Child Maltreatment Study); computer-assisted mobile telephone interviews using random digit dialling, Australia, 9 April - 11 October 2021.ParticipantsAustralians aged 16 years or more. The target sample size was 8500 respondents: 3500 people aged 16-24 years and 1000 respondents each from the five age groups (25-34, 35-44, 45-54, 55-64, 65 years or more).Main outcome measuresSelf-reported health service use during the past twelve months: hospital admissions, length of stay, and reasons for admission; and numbers of consultations with health care professionals, overall and by type. Associations between maltreatment and health service use are reported as odds ratios adjusted for age group, gender, socio-economic status, financial hardship (childhood and current), and geographic remoteness.ResultsA total of 8503 participants completed the survey. Respondents who had experienced child maltreatment were significantly more likely than those who had not to report a hospital admission during the preceding twelve months (adjusted odds ratio [aOR], 1.39; 95% confidence interval [CI], 1.16-1.66), particularly admission with a mental disorder (aOR, 2.4; 95% CI, 1.03-5.6). The likelihood of six or more visits to general practitioners (aOR, 2.37; 95% CI, 1.87-3.02) or of a consultation with a mental health nurse (aOR, 2.67; 95% CI, 1.75-4.06), psychologist (aOR, 2.40; 95% CI, 2.00-2.88), or psychiatrist (aOR, 3.02; 95% CI, 2.25-4.04) were each higher for people who reported maltreatment during childhood. People who reported three or more maltreatment types were generally most likely to report greater health service use.ConclusionsChild maltreatment has a major impact on health service use. Early, targeted interventions are vital, not only for supporting children directly, but also for their longer term wellbeing and reducing their health system use throughout life.

Project description:OBJECTIVES:Although the prevalence and mental health consequences of childhood maltreatment among adolescents have been studied widely, there are few data addressing these issues in Asian lower middle-income countries. Here, we assessed the prevalence and types of childhood maltreatment and, for the first time, examined their association with current mental health problems in Indian adolescents with a history of child work. METHODS:One hundred and thirty-two adolescents (12-18?years; 114 males, 18 females) with a history of child work were interviewed using the Child Maltreatment, Conventional Crime, and Witnessing and Indirect Victimisation modules of the Juvenile Victimization Questionnaire. Potential psychiatric diagnoses and current emotional and behavioural problems were assessed using the culturally adapted Hindi versions of the Youth's Inventory-4R and the Strengths and Difficulties Questionnaire, respectively. RESULTS:A large proportion of the sample reported childhood abuse or neglect (83.36%), direct or indirect victimisation (100%) and experienced symptoms of one or more psychiatric disorders (83.33%). Of the most common maltreatment types, physical abuse was present for 72.73% (extra-familial 56.25%, intra-familial 42.71%), emotional abuse for 47.7% (extra-familial 74.6%, intra-familial 12.9%), general neglect for 17.4% and unsafe home for 45.5% of the adolescents. All these maltreatment types were associated with poor mental health, with emotional abuse showing the strongest and wide-ranging impact. CONCLUSIONS:Indian adolescents with a history of child work are at an extremely high risk of extra-familial physical and emotional abuse as well as victimisation. They also experience a range of psychiatric symptoms, especially if they suffered emotional abuse. There is an urgent need for routine mental health screening and to consider emotional abuse in all current and future top-down and bottom-up approaches to address childhood maltreatment, as well as in potential interventions to ameliorate its adverse effects on mental health and well-being, of child and adolescent workers.

Project description:ImportanceSocial determinants of health (SDOH) influence child health. However, most previous studies have used individual, small-set, or cherry-picked SDOH variables without examining unbiased computed SDOH patterns from high-dimensional SDOH factors to investigate associations with child mental health, cognition, and physical health.ObjectiveTo identify SDOH patterns and estimate their associations with children's mental, cognitive, and physical developmental outcomes.Design, setting, and participantsThis population-based cohort study included children aged 9 to 10 years at baseline and their caregivers enrolled in the Adolescent Brain Cognitive Development (ABCD) Study between 2016 and 2021. The ABCD Study includes 21 sites across 17 states.ExposuresEighty-four neighborhood-level, geocoded variables spanning 7 domains of SDOH, including bias, education, physical and health infrastructure, natural environment, socioeconomic status, social context, and crime and drugs, were studied. Hierarchical agglomerative clustering was used to identify SDOH patterns.Main outcomes and measuresAssociations of SDOH and child mental health (internalizing and externalizing behaviors) and suicidal behaviors, cognitive function (performance, reading skills), and physical health (body mass index, exercise, sleep disorder) were estimated using mixed-effects linear and logistic regression models.ResultsAmong 10 504 children (baseline median [SD] age, 9.9 [0.6] years; 5510 boys [52.5%] and 4994 girls [47.5%]; 229 Asian [2.2%], 1468 Black [14.0%], 2128 Hispanic [20.3%], 5565 White [53.0%], and 1108 multiracial [10.5%]), 4 SDOH patterns were identified: pattern 1, affluence (4078 children [38.8%]); pattern 2, high-stigma environment (2661 children [25.3%]); pattern 3, high socioeconomic deprivation (2653 children [25.3%]); and pattern 4, high crime and drug sales, low education, and high population density (1112 children [10.6%]). The SDOH patterns were distinctly associated with child health outcomes. Children exposed to socioeconomic deprivation (SDOH pattern 3) showed the worst health profiles, manifesting more internalizing (β = 0.75; 95% CI, 0.14-1.37) and externalizing (β = 1.43; 95% CI, 0.83-2.02) mental health problems, lower cognitive performance, and adverse physical health.ConclusionsThis study shows that an unbiased quantitative analysis of multidimensional SDOH can permit the determination of how SDOH patterns are associated with child developmental outcomes. Children exposed to socioeconomic deprivation showed the worst outcomes relative to other SDOH categories. These findings suggest the need to determine whether improvement in socioeconomic conditions can enhance child developmental outcomes.

Project description:IntroductionChild maltreatment (physical abuse, sexual abuse, emotional abuse, neglect and exposure to domestic violence) is widely understood to be associated with multiple mental health disorders, physical health problems and health risk behaviours throughout life. However, Australia lacks fundamental evidence about the prevalence and characteristics of child maltreatment, its associations with mental disorders and physical health, and the associated burden of disease. These evidence gaps impede the development of public health strategies to better prevent and respond to child maltreatment. The aims of this research are to generate the first comprehensive population-based national data on the prevalence of child maltreatment in Australia, identify associations with mental disorders and physical health conditions and other adverse consequences, estimate attributable burden of disease and indicate targeted areas for future optimal public health prevention strategies.Methods and analysisThe Australian Child Maltreatment Study (ACMS) is a nationwide, cross-sectional study of Australia's population aged 16 years and over. A survey of approximately 10 000 Australians will capture retrospective self-reported data on the experience in childhood of all five types of maltreatment (physical abuse, sexual abuse, emotional abuse, neglect and exposure to domestic violence). A customised, multimodule survey instrument has been designed to obtain information including: the prevalence and characteristics of these experiences; diagnostic screening of common mental health disorders; physical health; health risk behaviours and health service utilisation. The survey will be administered in March-November 2021 to a random sample of the nationwide population, recruited through mobile phone numbers. Participants will be surveyed using computer-assisted telephone interviews, conducted by trained interviewers from the Social Research Centre, an agency with extensive experience in studies of health and adversity. Rigorous protocols protect the safety of both participants and interviewers, and comply with all ethical and legal requirements. Analysis will include descriptive statistics reporting the prevalence of individual and multitype child maltreatment, multiple logistic and linear regression analyses to determine associations with mental disorders and physical health problems. We will calculate the population attributable fractions of these putative outcomes to enable an estimation of the disease burden attributable to child maltreatment.Ethics and disseminationThe study has been approved by the Queensland University of Technology Human Research Ethics Committee (#1900000477, 16 August 2019). Results will be published to the scientific community in peer-reviewed journals, scientific meetings and through targeted networks. Findings and recommendations will be shared with government policymakers and community and organisational stakeholders through diverse engagement activities, a dedicated Advisory Board and a systematic knowledge translation strategy. Results will be communicated to the public through an organised media strategy and the ACMS website.

Dataset Information

An investigation of child maltreatment and epigenetic mechanisms of mental and physical health risk.

Publications

An investigation of child maltreatment and epigenetic mechanisms of mental and physical health risk.

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