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Flor LS, Stein C, Gil GF, Khalil M, Herbert M, Aravkin AY, Arrieta A, Baeza de Robba MJ, Bustreo F, Cagney J, Calderon-Anyosa RJC, Carr S, Chandan JK, Chandan JS, Coll CVN, de Andrade FMD, de Andrade GN, Debure AN, DeGraw E, Hammond B, Hay SI, Knaul FM, Lim RQH, McLaughlin SA, Metheny N, Minhas S, Mohr JK, Mullany EC, Murray CJL, O'Connell EM, Patwardhan V, Reinach S, Scott D, Spencer CN, Sorensen RJD, Stöckl H, Twalibu A, Valikhanova A, Vasconcelos N, Zheng P, Gakidou E. Health effects associated with exposure of children to physical violence, psychological violence and neglect: a Burden of Proof study. Nat Hum Behav 2025:10.1038/s41562-025-02143-3. [PMID: 40210705 DOI: 10.1038/s41562-025-02143-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 02/20/2025] [Indexed: 04/12/2025]
Abstract
The health toll of child maltreatment or violence against children (VAC) has not yet been comprehensively evaluated. Here, in our systematic review and meta-analyses, we focused on the health impacts of physical violence, psychological violence and neglect during childhood. Utilizing the Burden of Proof methodology, which generates conservative measures of association while accounting for heterogeneity between input studies, we evaluated 35 associations between VAC and adverse health outcomes, identifying 27 statistically significant links. The associations between physical violence and major depressive disorder, ischaemic heart disease, alcohol use disorder, eating disorders and drug use disorders were rated as moderately weak, reflecting a small effect size and/or inconsistent evidence. The minimum increased risk ranged from 16% for depression to 2% for drug use disorders. Psychological violence showed similar moderately weak associations with drug use disorders (8% minimum risk increase), migraine (7%) and gynaecological diseases (2%). Neglect was linked to at least a 15% increased risk for anxiety disorders. The other 18 associations were weaker due to smaller effect sizes and/or less consistent evidence. Despite the limitations of the existing evidence, our analysis highlights substantial health impacts for VAC survivors, underscoring the need for health system prioritization and continued efforts to eliminate all forms of VAC.
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Affiliation(s)
- Luisa S Flor
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
| | - Caroline Stein
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Gabriela F Gil
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Mariam Khalil
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Molly Herbert
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Aleksandr Y Aravkin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Applied Mathematics, University of Washington, Seattle, WA, USA
| | - Alejandra Arrieta
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - María Jose Baeza de Robba
- School of Nursing, The Pontifical Catholic University of Chile, Santiago, Chile
- Center for Global Health Equity, University of Michigan, Ann Arbor, MI, USA
| | - Flavia Bustreo
- Fondation Botnar, Basel, Switzerland
- Partnership for Maternal, Newborn and Child Health, Geneva, Switzerland
| | - Jack Cagney
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | | | - Sinclair Carr
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Jaidev Kaur Chandan
- Warwick Medical School, University of Warwick, Coventry, UK
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Joht Singh Chandan
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Carolina V N Coll
- Department of Epidemiology, Federal University of Pelotas, Pelotas, Brazil
- Human Development and Violence Research Center, Federal University of Pelotas, Pelotas, Brazil
| | | | | | - Alexandra N Debure
- School of Nursing and Health Studies, University of Miami, Coral Gables, FL, USA
| | - Erin DeGraw
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Ben Hammond
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Simon I Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Felicia M Knaul
- Institute for the Advanced Study of the Americas, University of Miami, Coral Gables, FL, USA
- Department of Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
- Escuela de Medicina y Ciencias de la Salud, Tecnológico de Monterrey Faculty of Excellence, Mexico City, Mexico
- Tómatelo a Pecho, A.C., Mexico City, Mexico
| | - Rachel Q H Lim
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Susan A McLaughlin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Nicholas Metheny
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA
| | - Sonica Minhas
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Jasleen K Mohr
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Erin C Mullany
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Christopher J L Murray
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Erin M O'Connell
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Vedavati Patwardhan
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Center on Gender Equity and Health, UC San Diego School of Medicine, San Diego, CA, USA
| | | | - Dalton Scott
- School of Nursing and Health Studies, University of Miami, Coral Gables, FL, USA
| | - Cory N Spencer
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Reed J D Sorensen
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Heidi Stöckl
- Institute of Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Aisha Twalibu
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Aiganym Valikhanova
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | | | - Peng Zheng
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Emmanuela Gakidou
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
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2
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Peng Y, Rehman S, Liu J, Ju Y, Wang M, Sun J, Lu X, Dong Q, Zhang L, Liao M, Wan P, Guo H, Zhao F, Liu B, Zhang Y, Li L. Associations between childhood maltreatment and personality traits in individuals with and without depression: a CTQ-based assessment. BMC Psychol 2025; 13:115. [PMID: 39934922 DOI: 10.1186/s40359-025-02431-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2024] [Accepted: 01/29/2025] [Indexed: 02/13/2025] Open
Abstract
BACKGROUND Prior research has established a correlation between childhood maltreatment (CM) and personality traits. The current understanding regarding the potential variability in the relationship between CM and its impact on personality dimensions among those with major depressive disorder (MDD) and healthy controls (HCs) remains elusive. AIMS This study analyzes the association between CM and personality traits in the MDD and HC groups. METHODS The study recruited 188 individuals with MDD and 132 HC. The Childhood Trauma Questionnaire (CTQ) was used to assess CM, and the Sixteen Personality Factor Questionnaire (16PF) was used to assess personality traits. We used a 2*2 analysis of covariance (ANCOVA) of the diagnosis and CM on 16PF, and hierarchical regression explored the association between specific types of CM and 16PF in both groups. RESULTS The 2*2 ANCOVA results indicated significant interaction effects between CM and diagnosis on personality traits, with CM's impact notably different between groups. In the MDD group, sexual abuse (SA) independently predicted the subscale Q1 (Openness to Change), related to the Big Five's openness. In the HC group, emotional abuse (EA) predicted the subscales C (emotional stability), O (apprehension), and Q4(tension), linked to Big Five's neuroticism. CONCLUSION The findings highlight the impact of early adversity on personality development, informing psychology and guiding tailored therapy development.
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Affiliation(s)
- Yilin Peng
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of Central South University, National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Medical Center for Mental Health, Changsha, 410011, Hunan, China
| | - Shazia Rehman
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of Central South University, National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Medical Center for Mental Health, Changsha, 410011, Hunan, China
| | - Jin Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of Central South University, National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Medical Center for Mental Health, Changsha, 410011, Hunan, China
| | - Yumeng Ju
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of Central South University, National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Medical Center for Mental Health, Changsha, 410011, Hunan, China
| | - Mi Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of Central South University, National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Medical Center for Mental Health, Changsha, 410011, Hunan, China
| | - Jinrong Sun
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of Central South University, National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Medical Center for Mental Health, Changsha, 410011, Hunan, China
| | - Xiaowen Lu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of Central South University, National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Medical Center for Mental Health, Changsha, 410011, Hunan, China
| | - Qiangli Dong
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of Central South University, National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Medical Center for Mental Health, Changsha, 410011, Hunan, China
| | - Liang Zhang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of Central South University, National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Medical Center for Mental Health, Changsha, 410011, Hunan, China
| | - Mei Liao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of Central South University, National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Medical Center for Mental Health, Changsha, 410011, Hunan, China
| | - Ping Wan
- Department of Psychiatry, Zhumadian Psychiatric Hospital, Zhumadian, China
| | - Hua Guo
- Department of Psychiatry, Zhumadian Psychiatric Hospital, Zhumadian, China
| | - Futao Zhao
- Department of Psychiatry, Zhumadian Psychiatric Hospital, Zhumadian, China
| | - Bangshan Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
- Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of Central South University, National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Medical Center for Mental Health, Changsha, 410011, Hunan, China.
| | - Yan Zhang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of Central South University, National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Medical Center for Mental Health, Changsha, 410011, Hunan, China
| | - Lingjiang Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of Central South University, National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Medical Center for Mental Health, Changsha, 410011, Hunan, China
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3
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Runze J, Overbeek G, Luik AI, Have MT. Does child abuse predict a population segment with large economic burden? Public Health 2024; 236:347-353. [PMID: 39299089 DOI: 10.1016/j.puhe.2024.09.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 08/28/2024] [Accepted: 09/13/2024] [Indexed: 09/22/2024]
Abstract
OBJECTIVES The enormous societal and individual consequences of mental health disorders and detrimental health behaviours in the general population are of paramount concern. Many argue that 'prevention is the best cure', pushing for the implementation of early (preventive) interventions. Key questions regarding early interventions include which population segment to target for screenings and what information these screenings should focus on. In line with previous efforts, this study aimed to identify which population segment holds the majority (≥ 80 %) of different economically costly outcomes in society, and whether child abuse before the age of 16 years predicts being part of that population segment. STUDY DESIGN Epidemiological cohort study. METHODS This study used the Netherlands Mental Health Survey and Incidence Study-2, a Dutch epidemiological cohort study including 6646 adults aged 18-64 years at baseline, spanning four timepoints from 2007 to 2018. Cumulative distributions were computed to identify high-cost population segments of economically costly outcomes in adulthood (i.e., mental and physical health [behaviours], unemployment and work absenteeism). Child abuse was examined as a potential predictor of these segments and the risk of multiple high-cost population segment membership was investigated by conducting Poisson regressions. RESULTS A 20 % population segment carried between 42 % and 100 % of economically costly outcomes. Being exposed to more child abuse predicted being in a high-cost population segment, albeit with small effect sizes. Being exposed to more child abuse also predicted belonging to multiple high-cost population segments across different economically costly outcomes. CONCLUSIONS The study findings have implications for policy makers. Emphasis should be placed on prevention aimed at identifying potential members of multiple high-cost population segments.
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Affiliation(s)
- Jana Runze
- Research Institute of Child Development and Education, University of Amsterdam, the Netherlands.
| | - Geertjan Overbeek
- Research Institute of Child Development and Education, University of Amsterdam, the Netherlands
| | - Annemarie I Luik
- Epidemiology, Trimbos Institute - The Netherlands Institute of Mental Health and Addiction, Utrecht, the Netherlands; Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Margreet Ten Have
- Epidemiology, Trimbos Institute - The Netherlands Institute of Mental Health and Addiction, Utrecht, the Netherlands
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4
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Grummitt L, Baldwin JR, Lafoa’i J, Keyes KM, Barrett EL. Burden of Mental Disorders and Suicide Attributable to Childhood Maltreatment. JAMA Psychiatry 2024; 81:782-788. [PMID: 38717764 PMCID: PMC11079790 DOI: 10.1001/jamapsychiatry.2024.0804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 02/29/2024] [Indexed: 05/12/2024]
Abstract
Importance The proportion of mental disorders and burden causally attributable to childhood maltreatment is unknown. Objective To determine the contribution of child maltreatment to mental health conditions in Australia, accounting for genetic and environmental confounding. Design, Setting, and Participants This meta-analysis involved an epidemiological assessment accounting for genetic and environmental confounding between maltreatment and mental health and 3 cross-sectional national surveys: the Australian Child Maltreatment Study (ACMS) 2023, National Study of Mental Health and Well-being 2020-2022, and Australian Burden of Disease Study 2023. Causal estimates were derived on the association between childhood maltreatment and mental health conditions from a meta-analysis of quasi-experimental studies. This was combined with the prevalence of maltreatment from the ACMS to calculate the population attributable fraction (PAF). The PAF was applied to the number and burden of mental health conditions in Australia, sourced from 2 population-based, nationally representative surveys of Australians aged 16 to 85 years, to generate the number and associated burden of mental disorders attributable to child maltreatment. Exposure Physical abuse, sexual abuse, emotional abuse, or neglect prior to age 18 years. Main Outcomes and Measures Proportion and number of cases, years of life lost, years lived with disability, and disability-adjusted life-years of mental health conditions (anxiety, depression, harmful alcohol and drug use, self-harm, and suicide attempt) attributable to childhood maltreatment. Results Meta-analytic estimates were generated from 34 studies and 54 646 participants and applied to prevalence estimates of childhood maltreatment generated from 8503 Australians. Childhood maltreatment accounted for a substantial proportion of mental health conditions, ranging from 21% (95% CI, 13%-28%) for depression to 41% (95% CI, 27%-54%) of suicide attempts. More than 1.8 million cases of depressive, anxiety, and substance use disorders could be prevented if childhood maltreatment was eradicated. Maltreatment accounted for 66 143 years of life lost (95% CI, 43 313-87 314), primarily through suicide, and 184 636 disability-adjusted life-years (95% CI, 109 321-252 887). Conclusions and Relevance This study provides the first estimates of the causal contribution of child maltreatment to mental health in Australia. Results highlight the urgency of preventing child maltreatment to reduce the population prevalence and burden of mental disorders.
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Affiliation(s)
- Lucinda Grummitt
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, New South Wales, Australia
| | - Jessie R. Baldwin
- Department of Clinical, Educational, and Health Psychology, Division of Psychology and Language Sciences, University College London, London, United Kingdom
| | - Johanna Lafoa’i
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, New South Wales, Australia
| | - Katherine M. Keyes
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Emma L. Barrett
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, New South Wales, Australia
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5
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Fix RL, Newman AT, Assini-Meytin LC, Letourneau EJ. The public's knowledge about child sexual abuse influences its perceptions of prevention and associated policies. CHILD ABUSE & NEGLECT 2023; 146:106447. [PMID: 37757649 PMCID: PMC10842597 DOI: 10.1016/j.chiabu.2023.106447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 08/23/2023] [Accepted: 09/01/2023] [Indexed: 09/29/2023]
Abstract
BACKGROUND Child sexual abuse (CSA) prevention requires efforts from all members of society. OBJECTIVE The current study aimed to examine factors associated with (1) perceptions of CSA as unpreventable and (2) support for policies to prevent CSA and to punish people who perpetrated CSA. We focused on the roles of knowledge and misperceptions about child sexual abuse. PARTICIPANTS AND SETTING We collected survey data online from a large (N = 5068), nationally representative sample of adults in the United States. RESULTS Analyses revealed factors promoting perceptions of CSA as unpreventable. Support for or against policies that aim to prevent CSA or to punish perpetrators of CSA were associated with individual factors such as older age (B = 0.08, -0.13), Republican political affiliation (B = 0.10, 0.07), and misperceptions about CSA (B = 0.15, 0.06). CONCLUSIONS Findings highlight malleable factors that could be targeted to collectivize calls for CSA prevention and to promote support for effective policies to prevent CSA. In particular, ensuring accurate knowledge about CSA, and collective responsibility and government efficacy specific to CSA prevention, were identified as helping shape views of CSA as preventable.
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Affiliation(s)
- Rebecca L Fix
- Johns Hopkins Bloomberg School of Public Health, Department of Mental Health, United States of America.
| | - Alex T Newman
- Johns Hopkins Bloomberg School of Public Health, Department of Mental Health, United States of America
| | - Luciana C Assini-Meytin
- Johns Hopkins Bloomberg School of Public Health, Department of Mental Health, United States of America
| | - Elizabeth J Letourneau
- Johns Hopkins Bloomberg School of Public Health, Department of Mental Health, United States of America
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6
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Spencer CN, Khalil M, Herbert M, Aravkin AY, Arrieta A, Baeza MJ, Bustreo F, Cagney J, Calderon-Anyosa RJC, Carr S, Chandan JK, Coll CVN, de Andrade FMD, de Andrade GN, Debure AN, Flor LS, Hammond B, Hay SI, Knaul FN, Lim RQH, McLaughlin SA, Minhas S, Mohr JK, Mullany EC, Murray CJL, O'Connell EM, Patwardhan V, Reinach S, Scott D, Sorenson RJD, Stein C, Stöckl H, Twalibu A, Vasconcelos N, Zheng P, Metheny N, Chandan JS, Gakidou E. Health effects associated with exposure to intimate partner violence against women and childhood sexual abuse: a burden of proof study. Nat Med 2023; 29:3243-3258. [PMID: 38081957 PMCID: PMC10719101 DOI: 10.1038/s41591-023-02629-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 10/04/2023] [Indexed: 12/17/2023]
Abstract
The health impacts of intimate partner violence against women and childhood sexual abuse are not fully understood. Here we conducted a systematic review by comprehensively searching seven electronic databases for literature on intimate partner violence-associated and childhood sexual abuse-associated health effects. Following the burden of proof methodology, we evaluated the evidence strength linking intimate partner violence and/or childhood sexual abuse to health outcomes supported by at least three studies. Results indicated a moderate association of intimate partner violence with major depressive disorder and with maternal abortion and miscarriage (63% and 35% increased risk, respectively). HIV/AIDS, anxiety disorders and self-harm exhibited weak associations with intimate partner violence. Fifteen outcomes were evaluated for their relationship to childhood sexual abuse, which was shown to be moderately associated with alcohol use disorders and with self-harm (45% and 35% increased risk, respectively). Associations between childhood sexual abuse and 11 additional health outcomes, such as asthma and type 2 diabetes mellitus, were found to be weak. Although our understanding remains limited by data scarcity, these health impacts are larger in magnitude and more extensive than previously reported. Renewed efforts on violence prevention and evidence-based approaches that promote healing and ensure access to care are necessary.
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Affiliation(s)
- Cory N Spencer
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Mariam Khalil
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Molly Herbert
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Aleksandr Y Aravkin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Applied Mathematics, University of Washington, Seattle, WA, USA
| | - Alejandra Arrieta
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - María Jose Baeza
- School of Medicine, The Pontifical Catholic University of Chile, Santiago, Chile
- School of Nursing and Health Studies, University of Miami, Coral Gables, FL, USA
| | - Flavia Bustreo
- Fondation Botnar, Basel, Switzerland
- Partnership for Maternal, Newborn and Child Health, Geneva, Switzerland
| | - Jack Cagney
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | | | - Sinclair Carr
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Jaidev Kaur Chandan
- Warwick Medical School, University of Warwick, Coventry, UK
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Carolina V N Coll
- Department of Epidemiology, Federal University of Pelotas, Pelotas, Brazil
- Human Development and Violence Research Center, Federal University of Pelotas, Pelotas, Brazil
| | | | | | - Alexandra N Debure
- School of Nursing and Health Studies, University of Miami, Coral Gables, FL, USA
| | - Luisa S Flor
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Ben Hammond
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Simon I Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Felicia N Knaul
- Institute for the Advanced Study of the Americas, University of Miami, Coral Gables, FL, USA
| | - Rachel Q H Lim
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Susan A McLaughlin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Sonica Minhas
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Jasleen K Mohr
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Erin C Mullany
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Christopher J L Murray
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Erin M O'Connell
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Vedavati Patwardhan
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Center on Gender Equity and Health, UC San Diego School of Medicine, San Diego, CA, USA
| | | | - Dalton Scott
- School of Nursing and Health Studies, University of Miami, Coral Gables, FL, USA
| | - Reed J D Sorenson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Caroline Stein
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Heidi Stöckl
- Institute of Medical Information Processing, Biometry and Epidemiology (IBE), Ludwig-Maximilians-University Munich, Munich, Germany
| | - Aisha Twalibu
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | | | - Peng Zheng
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Nicholas Metheny
- School of Nursing and Health Studies, University of Miami, Coral Gables, FL, USA
| | - Joht Singh Chandan
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Emmanuela Gakidou
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
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Ten Have M, Tuithof M, van Dorsselaer S, Schouten F, de Graaf R. The Netherlands Mental Health Survey and Incidence Study-3 (NEMESIS-3): Objectives, methods and baseline characteristics of the sample. Int J Methods Psychiatr Res 2023; 32:e1942. [PMID: 36054177 PMCID: PMC9976606 DOI: 10.1002/mpr.1942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 08/12/2022] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVES NEMESIS-3 (Netherlands Mental Health Survey and Incidence Study-3) is a psychiatric epidemiological cohort study of the Dutch general population that replicates and expands on two previous NEMESIS-studies conducted in 1996-1999 and 2007-2018 respectively. The main aims of NEMESIS-3 are to provide up-to-date information on the prevalence, incidence, course and consequences of mental disorders, their risk indicators, and to study the relevant time trends. This paper gives an overview of the objectives and methods of NEMESIS-3, especially of the recently completed first wave, and describes the sample characteristics. METHODS NEMESIS-3 is based on a multistage, stratified random sampling of individuals aged 18-75 years. Face-to-face interviews were laptop computer-assisted and held at the respondent's home. A slightly modified Composite International Diagnostic Interview (CIDI) version 3.0 was used to assess both Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV) and DSM-5 mental disorders. Two follow-up waves are planned three and six years after baseline. RESULTS In the first wave, performed from November 2019 to March 2022, 6194 individuals were interviewed: 1576 respondents before and 4618 respondents during the COVID-19 pandemic. The average interview duration was 91 min and the response rate was 54.6%. The sample consisted of 50.4% women and had a mean age of 47.9 years. The sample was reasonable nationally representative, although some sociodemographic groups were somewhat underrepresented. CONCLUSIONS Despite the COVID-19 restrictions, we were able to build a large and comprehensive dataset of good quality, permitting us to investigate the latest trends in mental health status, various new topics related to mental health, and the extent to which the pandemic has had an effect on the population's mental health.
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Affiliation(s)
- Margreet Ten Have
- Trimbos Institute, the Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
| | - Marlous Tuithof
- Trimbos Institute, the Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
| | - Saskia van Dorsselaer
- Trimbos Institute, the Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
| | - Frederiek Schouten
- Trimbos Institute, the Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
| | - Ron de Graaf
- Trimbos Institute, the Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
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8
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Pries LK, Moore TM, Visoki E, Sotelo I, Barzilay R, Guloksuz S. Estimating the association between exposome and psychosis as well as general psychopathology: results from the ABCD Study. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2022; 2:283-291. [PMID: 36325038 PMCID: PMC9616253 DOI: 10.1016/j.bpsgos.2022.05.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 05/18/2022] [Accepted: 05/21/2022] [Indexed: 11/30/2022] Open
Abstract
Background The exposome comprises all nongenetic factors an individual is exposed to across their lifespan. Research suggests that exposomic vulnerability for schizophrenia is associated not only with psychosis but also, to a degree, with general psychopathology. Here, we investigated to what degree exposome factors are associated with psychosis and general psychopathology. Methods Data were retrieved from the 1-year follow-up assessment of a large U.S. adolescent sample (n = 11,235), the Adolescent Brain Cognitive Development (ABCD) Study. Iterative factor analyses of environmental exposures (n = 798) allowed calculation of 6 exposome factors: household adversity, neighborhood environment, day-to-day experiences, state-level environment, family values, pregnancy/birth complications. Bifactor modeling of clinical symptoms (n = 93) allowed calculation of a general psychopathology factor (p-factor) and 6 subdomains, including a psychosis subdomain. We applied linear regression analyses to estimate the association of exposome factors with the p-factor and psychosis subdomain, respectively. Results Individual analyses showed that 5 exposome factors were significantly associated with the p-factor after multiple-comparison correction. In the mutually adjusted model, all exposome factors were significantly associated with the p-factor. Psychosis was particularly associated with 3 exposome factors, with the mutually adjusted model yielding the following results: household adversity (β = 0.04, 95% CI, 0.01 to 0.07), day-to-day experiences (β = 0.10, 95% CI, 0.08 to 0.12), and pregnancy/birth complications (β = 0.03, 95% CI, 0.01 to 0.05). Conclusions Our findings demonstrate that multifaceted environmental background is associated with mental disorders. Psychosis was particularly associated with prenatal, perinatal, and childhood (household and school) adversities, although these exposome domains were also associated with psychopathology. The exposome approach can help understand neurodevelopmental psychopathology.
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9
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Baams L, Ten Have M, de Graaf R, de Jonge P. Childhood trauma and bullying-victimization as an explanation for differences in mental disorders by sexual orientation. J Psychiatr Res 2021; 137:225-231. [PMID: 33691234 PMCID: PMC7612811 DOI: 10.1016/j.jpsychires.2021.02.046] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 02/03/2021] [Accepted: 02/17/2021] [Indexed: 11/18/2022]
Abstract
Sexual minority individuals are more likely to have mental disorders, including mood, anxiety, and substance use disorders, compared to heterosexual individuals. Whether experiencing trauma or bullying-victimization during childhood explains these differences is currently unclear. We used a psychiatric epidemiological general population-based study to assess whether childhood trauma severity and bullying-victimization before age 16 explains the difference by sexual attraction in mental disorders. Data from the Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2; N = 6392) were used to examine (1) whether same/both-sex attraction and predominantly other-sex attraction is linked to self-reports of childhood trauma (types and severity) and bullying-victimization, and (2) whether these experiences explain differences between these groups in lifetime and 12-month prevalence of DSM-IV disorders assessed by the Composite International Diagnostic Interview 3.0. Same/both-sex attracted individuals reported a higher childhood trauma severity score compared to exclusively other-sex attracted individuals (B = 0.93, SE = 0.20, p < .001), and were more likely to report bullying-victimization (OR = 2.51 95%CI[1.68, 3.74]). DSM-IV disorders were more prevalent among same/both-sex attracted individuals than among exclusively other-sex attracted individuals (ORs ranged from 1.57 to 4.68). There were no differences in DSM-IV disorders for predominantly other-sex attracted individuals. Childhood trauma severity explained between 9.0% and 57.0% of significant indirect associations between same/both-sex attraction and DSM-IV disorders. Sexual minority individuals experience more types of, and more severe childhood trauma, and are more likely to experience bullying-victimization. These negative experiences partly explained disparities in mental disorders.
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Affiliation(s)
| | - Margreet Ten Have
- Netherlands Institute of Mental Health and Addiction (Trimbos Institute), the Netherlands
| | - Ron de Graaf
- Netherlands Institute of Mental Health and Addiction (Trimbos Institute), the Netherlands
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Noteboom A, Have MT, de Graaf R, Beekman ATF, Penninx BWJH, Lamers F. The long-lasting impact of childhood trauma on adult chronic physical disorders. J Psychiatr Res 2021; 136:87-94. [PMID: 33581460 DOI: 10.1016/j.jpsychires.2021.01.031] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Revised: 11/25/2020] [Accepted: 01/16/2021] [Indexed: 10/22/2022]
Abstract
BACKGROUND It is unclear if childhood trauma (CT) is an independent risk factor of adult chronic physical disorders or whether its impact is (also) due to underlying poorer mental health. METHODS Data were obtained from baseline measurements among 13,489 respondents of the Netherlands Mental Health Survey and Incidence Study-1 and -2, cohort studies of the Dutch general population aged 18-64 years. We used a childhood trauma questionnaire measuring emotional, psychological, physical or sexual trauma before the age of 16. Lifetime mood, anxiety and substance use disorders were assessed with the Composite International Diagnostic Interview version 1.1 and 3.0. A standard self-report checklist was used to assess a broad range of chronic physical disorders treated by a medical doctor in the previous 12 months. RESULTS Respondents with a history of CT (N = 4054) suffered significantly more often from digestive (OR: 1.89-2.95), musculoskeletal (OR: 1.21-1.75) and respiratory disorders (OR: 1.39-1.91) and migraine (OR: 1.42-1.66). We found indirect associations between CT and digestive, musculoskeletal and respiratory disorders through lifetime mood (54%, 52% and 48% respectively), anxiety (44%, 55% and 44% respectively) and substance use disorders (33%, 23% and 38% respectively). Mood (69%) and anxiety disorders (67%) also impacted the relationship with migraine. CONCLUSIONS CT predicts the development of adult physical disorders, even after controlling for sociodemographic and lifestyle factors. This association is substantially influenced by mental health disorders. Treatment programs for CT should include interventions aimed at enhancing both mental and physical health.
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Affiliation(s)
- Annemieke Noteboom
- GGZinGeest, Oldenaller 1, 1081 HJ, Amsterdam, the Netherlands; Arkin, NPI, Berkenweg 7 3818 LA, Amersfoort, the Netherlands.
| | - Margreet Ten Have
- Netherlands Institute of Mental Health and Addiction, Da Costakade 45, 3521, VS, Utrecht, the Netherlands.
| | - Ron de Graaf
- Netherlands Institute of Mental Health and Addiction, Da Costakade 45, 3521, VS, Utrecht, the Netherlands.
| | - Aartjan T F Beekman
- GGZinGeest, Oldenaller 1, 1081 HJ, Amsterdam, the Netherlands; Department of Psychiatry and Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1105, 1081, HV, the Netherlands.
| | - Brenda W J H Penninx
- GGZinGeest, Oldenaller 1, 1081 HJ, Amsterdam, the Netherlands; Department of Psychiatry and Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1105, 1081, HV, the Netherlands.
| | - Femke Lamers
- GGZinGeest, Oldenaller 1, 1081 HJ, Amsterdam, the Netherlands; Department of Psychiatry and Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1105, 1081, HV, the Netherlands.
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11
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Cao Y, Huang L, Si T, Wang NQ, Qu M, Zhang XY. The role of only-child status in the psychological impact of COVID-19 on mental health of Chinese adolescents. J Affect Disord 2021; 282:316-321. [PMID: 33421858 PMCID: PMC8529236 DOI: 10.1016/j.jad.2020.12.113] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 12/25/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND The impact of coronavirus disease (COVID-19) on public mental health in 2019 is verified, but the role of only-child status in the mental health of adolescents confined at home during the COVID-19 epidemic has not been investigated and is not clear. OBJECTIVE Our study aims to assess the impact of only-child status on the mental health of adolescents confined at home during the COVID-19 outbreak. The exposure risk to COVID-19, adverse experience, parent-child relationship, and resilience have also been measured and considered. METHODS From March 20 to 31, 2020, a cross-sectional survey test was conducted on 11,681 adolescents aged from 12 to 18 years in middle schools (Grade 7 to Grade 9) across five provinces in China. The self-reported online questionnarie was used to collected data of demographic information, the 9-item Patient Health Questionnaire, the 7-item Generalized Anxiety Disorder Scale, the short form of the Childhood Trauma Questionnaire, the Connor-Davidson Resilience Scale and the exposure risk to COVID-19. RESULTS A total of 11,180 valid questionnaires were collected, with an effective rate of 95.7%. 35.2% of only children and 38.8% of non-only children reported depression symptoms, while 20.5% of only children and 24.7% of non-only children reported anxiety symptoms. It was significant that non-only children were more likely to have anxiety and depression symptoms than only children (OR = 1.164, 95%CI: 1.064-1.273, p = 0.001). The risk of exposure to COVID-19 was a risk factor of depression (OR = 2.284, 95%CI: 1.640-3.180, p < 0.001) and anxiety symptoms (OR = 1.959, 95%CI: 1.402-2.737, p < 0.001) in non-only children, but not in only children. For both only children and non-only children, the resilience and parent-child relationship were protective factors of depression and anxiety symptoms, while emotional abuse was a risk factor (p < 0.001). CONCLUSION The non-only children are more likely to develop the symptoms of anxiety and depression than only children, during the outbreak of COVID-19 in China. The adolescents with siblings are psychiatrically more vulnerable to exposure risk of COVID-19 and need more attention, especially those with poor parent-child relationship, low resilience and experience of emotional abuse.
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Affiliation(s)
- Yujia Cao
- Neurology Department, Xuan Wu Hospital of Capital Medical University, 45 Changchun Street, Xi Cheng, Beijing, 100053, China,Neurology Department, Third Affiliated Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Liyuan Huang
- Neurology Department, Xuan Wu Hospital of Capital Medical University, 45 Changchun Street, Xi Cheng, Beijing, 100053, China
| | - Tong Si
- Neurology Department, Xuan Wu Hospital of Capital Medical University, 45 Changchun Street, Xi Cheng, Beijing, 100053, China
| | - Ning Qun Wang
- Neurology Department, Xuan Wu Hospital of Capital Medical University, 45 Changchun Street, Xi Cheng, Beijing, 100053, China
| | - Miao Qu
- Neurology Department, Xuan Wu Hospital of Capital Medical University, 45 Changchun Street, Xi Cheng, Beijing, 100053, China.
| | - Xiang Yang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China.
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Grummitt LR, Kelly EV, Barrett EL, Keyes KM, Newton NC. Identifying Targets for Substance Use Prevention in Young People Exposed to Childhood Adversity: Protocol for a Systematic Review. JMIR Res Protoc 2020; 9:e22368. [PMID: 33275102 PMCID: PMC7748964 DOI: 10.2196/22368] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 08/27/2020] [Accepted: 11/10/2020] [Indexed: 12/20/2022] Open
Abstract
Background Adverse childhood experiences are prevalent robust risk factors for the development of substance use problems. However, less is known about the causal mechanisms that explain these relationships. While directly preventing adverse childhood experiences is ideal, it is not always possible. In such cases, the mechanisms themselves may be amenable to intervention, allowing for the effective prevention of problematic substance use among children exposed to adversity. Identifying such mechanisms is therefore a critical step for efforts aiming to reduce the high individual and societal burdens associated with substance use globally. Objective This study aims to systematically identify and synthesize evidence on the modifiable mediators and moderators of the relationship between adverse childhood experiences and substance use outcomes in young people (age 10-24 years). Methods A systematic review will be conducted using PubMed, MEDLINE, PsycINFO, Web of Science, and CINAHL databases to determine the modifiable mediators and moderators of the relationship between adverse childhood experiences and substance use in young people. Data from the review will be qualitatively synthesized, unless we identify a sufficient number of studies (at least five) that examine the same type of adversity (eg, physical or sexual abuse) and the same mediator/moderator, in which case a quantitative synthesis (meta-analysis) will be conducted. If a quantitative synthesis is warranted, standardized effect estimates of the indirect (mediated) effect between adverse childhood experiences and substance use outcomes will be combined using a random-effects meta-analysis. Mediators/moderators will be grouped according to a socioecological perspective, using the four levels of individual, interpersonal, community, and public policy/culture. Results Electronic searches were completed in August 2019. A total of 4004 studies were included for screening after removing duplicates. After evaluating titles and abstracts against eligibility criteria, a further 3590 studies were excluded, leaving 415 studies for full-text screening. The results of the review are expected to be available by December 2020. Conclusions The mechanisms linking adverse childhood experiences and substance use outcomes in young people are vital targets for substance use prevention efforts. This review will provide evidence to inform the development of prevention strategies in order to interrupt the negative life trajectory that can begin with childhood adversity. Trial Registration PROSPERO International Prospective Register of Systematic Reviews CRD42020148773; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020148773 International Registered Report Identifier (IRRID) DERR1-10.2196/22368
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Affiliation(s)
- Lucinda Rachel Grummitt
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia.,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Erin Veronica Kelly
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - Emma Louise Barrett
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - Katherine M Keyes
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Nicola Clare Newton
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
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13
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Pries LK, van Os J, ten Have M, de Graaf R, van Dorsselaer S, Bak M, Lin BD, van Eijk KR, Kenis G, Richards A, O’Donovan MC, Luykx JJ, Rutten BPF, Guloksuz S. Association of Recent Stressful Life Events With Mental and Physical Health in the Context of Genomic and Exposomic Liability for Schizophrenia. JAMA Psychiatry 2020; 77:1296-1304. [PMID: 32805017 PMCID: PMC7711318 DOI: 10.1001/jamapsychiatry.2020.2304] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 06/01/2020] [Indexed: 12/23/2022]
Abstract
Importance Both adulthood stressful life events (SLEs) and liability for schizophrenia have been associated with poor mental and physical health in the general population, but their interaction remains to be elucidated to improve population-based health outcomes. Objective To test whether recent SLEs interact with genetic and environmental liability for schizophrenia in models of mental and physical health. Design, Setting, and Participants The Netherlands Mental Health Survey and Incidence Study-2 is a population-based prospective cohort study designed to investigate the prevalence, incidence, course, and consequences of mental disorders in the Dutch general population. Participants were enrolled from November 5, 2007, to July 31, 2009, and followed up with 3 assessments during 9 years. Follow-up was completed on June 19, 2018, and data were analyzed from September 1 to November 1, 2019. Exposures Recent SLEs assessed at each wave and aggregate scores of genetic and environmental liability for schizophrenia: polygenic risk score for schizophrenia (PRS-SCZ) trained using the Psychiatric Genomics Consortium analysis results and exposome score for schizophrenia (ES-SCZ) trained using an independent data set. Main Outcomes and Measures Independent and interacting associations of SLEs with ES-SCZ and PRS-SCZ on mental and physical health assessed at each wave using regression coefficients. Results Of the 6646 participants included at baseline, the mean (SD) age was 44.26 (12.54) years, and 3672 (55.25%) were female. The SLEs were associated with poorer physical health (B = -3.22 [95% CI, -3.66 to -2.79]) and mental health (B = -3.68 [95% CI, -4.05 to -3.32]). Genetic and environmental liability for schizophrenia was associated with poorer mental health (ES-SCZ: B = -3.07 [95% CI, -3.35 to -2.79]; PRS-SCZ: B = -0.93 [95% CI, -1.31 to -0.54]). Environmental liability was also associated with poorer physical health (B = -3.19 [95% CI, -3.56 to -2.82]). The interaction model showed that ES-SCZ moderated the association of SLEs with mental (B = -1.08 [95% CI, -1.47 to -0.69]) and physical health (B = -0.64 [95% CI, -1.11 to -0.17]), whereas PRS-SCZ did not. Several sensitivity analyses confirmed these results. Conclusions and Relevance In this study, schizophrenia liability was associated with broad mental health outcomes at the population level. Consistent with the diathesis-stress model, exposure to SLEs, particularly in individuals with high environmental liability for schizophrenia, was associated with poorer health. These findings underline the importance of modifiable environmental factors during the life span for population-based mental health outcomes.
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Affiliation(s)
- Lotta-Katrin Pries
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Jim van Os
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Psychiatry, UMC (University Medical Center) Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Margreet ten Have
- Department of Epidemiology, Netherlands Institute of Mental Health and Addiction, Utrecht, the Netherlands
| | - Ron de Graaf
- Department of Epidemiology, Netherlands Institute of Mental Health and Addiction, Utrecht, the Netherlands
| | - Saskia van Dorsselaer
- Department of Epidemiology, Netherlands Institute of Mental Health and Addiction, Utrecht, the Netherlands
| | - Maarten Bak
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
- Flexible Assertive Community Treatment, Mondriaan Mental Health, Maastricht, the Netherlands
| | - Bochao D. Lin
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Kristel R. van Eijk
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Gunter Kenis
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Alexander Richards
- MRC (Medical Research Council) Center for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom
| | - Michael C. O’Donovan
- MRC (Medical Research Council) Center for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom
| | - Jurjen J. Luykx
- Department of Psychiatry, UMC (University Medical Center) Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- GGNet Mental Health, Apeldoorn, the Netherlands
| | - Bart P. F. Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Sinan Guloksuz
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
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Zhou X, Meng Y, Schmitt HS, Montag C, Kendrick KM, Becker B. Cognitive flexibility mediates the association between early life stress and habitual behavior. PERSONALITY AND INDIVIDUAL DIFFERENCES 2020. [DOI: 10.1016/j.paid.2020.110231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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15
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Toyoshima K, Inoue T, Masuya J, Fujimura Y, Higashi S, Tanabe H, Kusumi I. Structural equation modeling approach to explore the influence of childhood maltreatment in adults. PLoS One 2020; 15:e0239820. [PMID: 33002039 PMCID: PMC7529428 DOI: 10.1371/journal.pone.0239820] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 09/15/2020] [Indexed: 12/31/2022] Open
Abstract
Background Childhood maltreatment affects social functioning in the general adult population. However, how child abuse affects functional disability in adulthood remains unknown. Thus, we investigated the correlation between child abuse, depressive symptoms, cognitive complaints, and functional disability in adult community volunteers. Methods Participants (N = 556) completed the Child Abuse and Trauma Scale, Patient Health Questionnaire-9, Cognitive Complaints in Bipolar Disorder Rating Assessment, and Sheehan Disability Scale. Multiple regression analyses and structural equation modeling were performed to evaluate scale correlations. Results Structural equation modeling showed that the direct effect of childhood maltreatment on depressive symptoms, the indirect effect of childhood maltreatment on cognitive function via depressive symptoms, and the indirect effects of childhood maltreatment on functional disability via depressive symptoms and via cognitive function were all significant. The direct effects of childhood maltreatment on cognitive function and functional disability were not significant. There was no significant association between variables. Limitations Cross-sectional designs cannot identify causal relationships between parameters. Participants were adult volunteers from the community; therefore, results may not be generalizable to individuals with psychiatric disorders. Sociodemographic variability was a limitation because we used self-reported childhood maltreatment. Conclusions Childhood maltreatment indirectly affects functional disability via depressive symptoms and via cognitive function through depressive symptoms. We suggest that depressive symptoms and cognitive function play crucial roles in the influence of childhood maltreatment on functional disability in adult community volunteers.
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Affiliation(s)
- Kuniyoshi Toyoshima
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Kita, Nishi, Sapporo, Japan
| | - Takeshi Inoue
- Department of Psychiatry, Tokyo Medical University, Shinjuku-ku, Tokyo, Japan
| | - Jiro Masuya
- Department of Psychiatry, Tokyo Medical University, Shinjuku-ku, Tokyo, Japan
| | - Yota Fujimura
- Department of Psychiatry, Tokyo Medical University, Shinjuku-ku, Tokyo, Japan.,Department of Psychiatry, Tokyo Medical University, Hachioji Medical Center, Tokyo, Japan
| | - Shinji Higashi
- Department of Psychiatry, Tokyo Medical University, Shinjuku-ku, Tokyo, Japan.,Department of Psychiatry, Ibaraki Medical Center, Tokyo Medical University, Ami-machi, Inashiki-gun, Ibaraki, Japan
| | - Hajime Tanabe
- Department of Clinical Human Sciences, Graduate School of Humanities and Social Sciences, Shizuoka University, Ohya, Suruga-ku, Shizuoka, Japan
| | - Ichiro Kusumi
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Kita, Nishi, Sapporo, Japan
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