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Case Studies in Abnormal Psychology

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Case Studies in Abnormal Psychology by Ethan E. Gorenstein; Ronald J. Comer; M. Zachary Rosenthal - Third Edition, 2022 from Macmillan Student Store

Psychology in Everyday Life

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Updated for DSM-5-TR! This popular supplement complements courses in abnormal and clinical psychology with 20 case histories based on real clinical experiences. With new material by M. Zachary Rosenthal (Duke University), each case study describes the individuals history and symptoms and includes a theoretical discussion of treatment, a specific treatment plan, the actual treatment conducted, and assessment questions. The casebook also provides three "You Decide" cases written without diagnosis or treatment, so students can identify disorders and suggest appropriate therapies and treatments. Several cases now include contextual factors from the COVID-19 pandemic.

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Third Edition | ©2022

Ethan E. Gorenstein; Ronald J. Comer; M. Zachary Rosenthal

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Table of Contents

case study of abnormal behavior

Ethan E. Gorenstein

Ethan E. Gorenstein is clinical director of the Behavioral Medicine Program at Columbia-Presbyterian Medical Center and a professor of clinical psychology in the department of psychiatry at Columbia University. He is also the author of The Science of Mental Illness (Academic Press). He has an active clinical practice devoted to the use of evidence-based psychological treatment methods for problems of both children and adults.

case study of abnormal behavior

Ronald J. Comer

Ronald J. Comer has been a professor in Princeton University’s Department of Psychology for the past 47 years, also serving for many years as director of Clinical Psychology Studies and as chair of the university’s Institutional Review Board. In 2016 he transitioned to emeritus status at the university. He has received the President’s Award for Distinguished Teaching at Princeton, where his various courses in abnormal psychology were among the university’s most popular. Professor Comer is also Clinical Associate Professor of Family Medicine and Community Health at Rutgers Robert Wood Johnson Medical School. He has also been a practicing clinical psychologist and served as a consultant to Eden Autism Services and to hospitals and family practice residency programs throughout New Jersey. In addition to writing the textbooks Fundamentals of Abnormal Psychology (tenth edition), Abnormal Psychology (eleventh edition), Psychology Around Us (second edition), and Case Studies in Abnormal Psychology (third edition), Professor Comer has published a range of journal articles and produced numerous widely used educational video programs, including The Higher Education Video Library Series, The Video Anthology for Abnormal Psychology, Video Segments in Neuroscience, Introduction to Psychology Video Clipboard, and Developmental Psychology Video Clipboard. Professor Comer was an undergraduate at the University of Pennsylvania and a graduate student at Clark University. He currently lives in Florida with his wife, Marlene. From there he keeps a close eye on his nearby grandchildren Delia and Emmett, somehow making the same mistakes with them that he made with their father Jon and their uncle Greg a generation ago. Then again, that turned out pretty well.

case study of abnormal behavior

M. Zachary Rosenthal

Dr. Zach Rosenthal is a clinical psychologist and Associate Professor with a joint appointment in both the Department of Psychiatry and Behavioral Sciences and the Department of Psychology and Neuroscience at Duke University. He leads the Duke Center for Misophonia and Emotion Regulation, Duke Cognitive Behavioral Research and Treatment Program, Anti-Racism Community in the Department of Psychology & Neuroscience, and is Co-Chief Psychologist for Duke University Medical Center. Dr. Rosenthal teaches and mentors undergraduate and graduate students, does research, treats patients, provides clinical supervision, and disseminates treatments through clinical training and consultation locally and internationally. He has published extensively and received grants to conduct research from a range of funding sources, including the National Institutes of Health, Department of Defense, various foundations, and major donors. As a licensed psychologist in North Carolina with expertise in cognitive behavioral therapies, he specializes in treating adults from an evidence-based and trauma-informed perspective with borderline personality disorder, misophonia, and other complex multi-diagnostic presentations.

Third Edition | 2022

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Not Just a Boring Worksheet: New Interactive Case Studies for Abnormal Psychology

How do you teach your students about the diagnostic process? Do you have them read a case study? Do you show them a quick video in class?

Do you ever get the sense that they're not really engaged in the case studies you give them?

With the new McGraw-Hill Interactive Case Studies, your students are involved in the diagnostic process, developing empathy and critical thinking skills as they work their way through 12 differential diagnoses.

What did our student reviewers have to say about the Interactive Case Studies?

"You get to apply what you know, or think you know. It helped me piece together the whole puzzle." – Student at the University of Georgia

"It's very interactive. You have to think about what you're doing." – Student at Prairie View A&M University

"It felt like a game… more interesting than reading the text." – Student at University of Nebraska – Omaha

"Cool activity… I would choose it over boring homework." – Student at San Jose State University

Our instructor reviewers were on board, too, agreeing that students would learn much more from the case studies and enjoy them much more than a worksheet.

Let's take a peek at the Interactive Case Studies!

At the beginning of the case, students are introduced to the practitioner they will be working with. The practitioner guides the student throughout the case, providing background, conducting the client interview, and discussing possible diagnoses based on the presenting case.

case study of abnormal behavior

As students observe the client interview, they are presented with a series of glowing objects, which – when clicked – provide background information about the client that cannot necessarily be obtained from the interview. Examples include medical records and interviews with family.

case study of abnormal behavior

At three checkpoints during the case, students are asked to decide which information from the interview is more relevant to making a diagnosis, and which information is less relevant.

case study of abnormal behavior

Throughout the case, students have access to an interactive continuum to see the range of behavior for the particular disorder, from functional to dysfunctional. The continuum indicates the behaviors students should pay attention to, while also conveying the idea that behavior is on a continuum and that a diagnosis is never black and white.

case study of abnormal behavior

At the conclusion of the interview, students are asked to match the information in their notebook (which is populated at each of the three checkpoints) to the symptoms of the disorder.

After performing this exercise, students are asked to select whether they believe the client has one of two presented disorders (or no disorder). The practitioner then makes a diagnosis, provides feedback to the student, and offers an overview of their treatment plan for the client.

case study of abnormal behavior

The Interactive Case Studies are live for fall classes, and are assignable and assessable within Connect.

Which disorders are covered by the Interactive Case Studies?

There are 12 case studies, covering the following disorders and groups of disorders:

  • Trauma- and Stressor-Related Disorders
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  • Anxiety Disorders
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  • Eating Disorders
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Case Studies in Abnormal Psychology

Case Studies in Abnormal Psychology

  • Kenneth N. Levy - Pennsylvania State University, Pennsylvania
  • Kristen M. Kelly - Pennsylvania State University – University Park, USA
  • William J. Ray - Pennsylvania State University
  • Description

This comprehensive work presents a broad range of cases drawn from the clinical experience of authors Kenneth N. Levy, Kristen M. Kelly, and William J. Ray to take readers beyond theory into real-life situations. The authors take a holistic approach by including multiple perspectives and considerations, apart from those of just the patient. Each chapter follows a consistent format: Presenting Problems and Client Description; Diagnosis and Case Formulation; Course of Treatment; Outcome and Prognosis/Treatment Follow-up; and Discussion Questions. Providing empirically supported treatments and long-term follow-up in many case studies gives students a deeper understanding of each psychopathology and the effects of treatment over time.

Also of Interest Abnormal Psychology, Second Edition : A person-first, multilevel approach toward a clear and complete understanding of abnormal psychology—the perfect core text for your course. Use Bundle ISBN: 978-1-5063-8153-4.

Should you need additional information or have questions regarding the HEOA information provided for this title, including what is new to this edition, please email  [email protected] . Please include your name, contact information, and the name of the title for which you would like more information. For information on the HEOA, please go to  http://ed.gov/policy/highered/leg/hea08/index.html .

We hope you'll consider this SAGE text. Email us at  [email protected] , or click here to find your  SAGE rep .

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“This casebook is widely inclusive of many types of disorders.” 

“ Case Studies in Abnormal Psychology envisions broad inclusions of different cases on different topics.”

“I liked the fact that Marital Discord has been included, which is not found in other casebooks.”

  • A holistic approach gives readers a unique view of multiple perspectives and considerations, apart from those of just the patient.
  • A broad range of cases includes such disorders as Schizophrenia, Post Traumatic Disorder, Narcissistic Personality Disorder, and Major Depressive Disorder with Comorbid Depressive Personality Disorder.
  • Discussion questions accompanying each case allow students the opportunity to review and synthesize the content.
  • A core text on Abnormal Psychology by co-author William J. Ray is available to accompany the casebook for a current and complete package.

Sample Materials & Chapters

Case Study 1: Narcissistic Personality Disorder

Case Study 2: MDD with Comorbid Depressive Personality Disorder

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Module 13: Disorders of Childhood and Adolescence

Case studies: disorders of childhood and adolescence, learning objectives.

  • Identify disorders of childhood and adolescence in case studies

Case Study: Jake

A young boy making an angry face at the camera.

Jake was born at full term and was described as a quiet baby. In the first three months of his life, his mother became worried as he was unresponsive to cuddles and hugs. He also never cried. He has no friends and, on occasions, he has been victimized by bullying at school and in the community. His father is 44 years old and describes having had a difficult childhood; he is characterized by the family as indifferent to the children’s problems and verbally violent towards his wife and son, but less so to his daughters. The mother is 41 years old, and describes herself as having a close relationship with her children and mentioned that she usually covers up for Jake’s difficulties and makes excuses for his violent outbursts. [1]

During his stay (for two and a half months) in the inpatient unit, Jake underwent psychiatric and pediatric assessments plus occupational therapy. He took part in the unit’s psycho-educational activities and was started on risperidone, two mg daily. Risperidone was preferred over an anti-ADHD agent because his behavioral problems prevailed and thus were the main target of treatment. In addition, his behavioral problems had undoubtedly influenced his functionality and mainly his relations with parents, siblings, peers, teachers, and others. Risperidone was also preferred over other atypical antipsychotics for its safe profile and fewer side effects. Family meetings were held regularly, and parental and family support along with psycho-education were the main goals. Jake was aided in recognizing his own emotions and conveying them to others as well as in learning how to recognize the emotions of others and to become aware of the consequences of his actions. Improvement was made in rule setting and boundary adherence. Since his discharge, he received regular psychiatric follow-up and continues with the medication and the occupational therapy. Supportive and advisory work is done with the parents. Marked improvement has been noticed regarding his social behavior and behavior during activity as described by all concerned. Occasional anger outbursts of smaller intensity and frequency have been reported, but seem more manageable by the child with the support of his mother and teachers.

In the case presented here, the history of abuse by the parents, the disrupted family relations, the bullying by his peers, the educational difficulties, and the poor SES could be identified as additional risk factors relating to a bad prognosis. Good prognostic factors would include the ending of the abuse after intervention, the child’s encouragement and support from parents and teachers, and the improvement of parental relations as a result of parent training and family support by mental health professionals. Taken together, it appears that also in the case of psychiatric patients presenting with complex genetic aberrations and additional psychosocial problems, traditional psychiatric and psychological approaches can lead to a decrease of symptoms and improved functioning.

Case Study: Kelli

A girl sitting with a book open in front of her. She wears a frustrated expression.

Kelli may benefit from a course of comprehensive behavioral intervention for her tics in addition to psychotherapy to treat any comorbid depression she experiences from isolation and bullying at school. Psychoeducation and approaches to reduce stigma will also likely be very helpful for both her and her family, as well as bringing awareness to her school and those involved in her education.

  • Kolaitis, G., Bouwkamp, C.G., Papakonstantinou, A. et al. A boy with conduct disorder (CD), attention deficit hyperactivity disorder (ADHD), borderline intellectual disability, and 47,XXY syndrome in combination with a 7q11.23 duplication, 11p15.5 deletion, and 20q13.33 deletion. Child Adolesc Psychiatry Ment Health 10, 33 (2016). https://doi.org/10.1186/s13034-016-0121-8 ↵
  • Case Study: Childhood and Adolescence. Authored by : Chrissy Hicks for Lumen Learning. Provided by : Lumen Learning. License : CC BY: Attribution
  • A boy with conduct disorder (CD), attention deficit hyperactivity disorder (ADHD), borderline intellectual disability.... Authored by : Gerasimos Kolaitis, Christian G. Bouwkamp, Alexia Papakonstantinou, Ioanna Otheiti, Maria Belivanaki, Styliani Haritaki, Terpsihori Korpa, Zinovia Albani, Elena Terzioglou, Polyxeni Apostola, Aggeliki Skamnaki, Athena Xaidara, Konstantina Kosma, Sophia Kitsiou-Tzeli, Maria Tzetis . Provided by : Child and Adolescent Psychiatry and Mental Health. Located at : https://capmh.biomedcentral.com/articles/10.1186/s13034-016-0121-8 . License : CC BY: Attribution
  • Angry boy. Located at : https://www.pxfuel.com/en/free-photo-jojfk . License : Public Domain: No Known Copyright
  • Frustrated girl. Located at : https://www.pickpik.com/book-bored-college-education-female-girl-1717 . License : Public Domain: No Known Copyright

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Case Studies in Abnormal Psychology

Third  edition | ©2022  ethan e. gorenstein; ronald j. comer; m. zachary rosenthal.

ISBN:9781319443641

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The case studies that bring psychology life! This longtime favorite lets you explore the realities of living with psychological disorders with 20 case histories based on real clinical experiences. Cases show how practicing researchers and therapists actually work, describing the individuals history and symptoms, then offering a theoretical discussion of treatment, a specific treatment plan, and the actual treatment that was followed. Several cases now include contextual factors from the COVID-19 pandemic. Affordable e-textbook option available! Take notes, add highlights, and download our mobile-friendly e-textbook. Compatible with iOS or Android devices, Mac, PC, Kindle Fire, or Chromebook.

Read online (or offline) with all the highlighting and notetaking tools you need to be successful in this course.

Table of Contents

case study of abnormal behavior

Ethan E. Gorenstein

Ethan E. Gorenstein is clinical director of the Behavioral Medicine Program at Columbia-Presbyterian Medical Center and a professor of clinical psychology in the department of psychiatry at Columbia University. He is also the author of The Science of Mental Illness (Academic Press). He has an active clinical practice devoted to the use of evidence-based psychological treatment methods for problems of both children and adults.

case study of abnormal behavior

Ronald J. Comer

Ronald J. Comer has been a professor in Princeton University’s Department of Psychology for the past 47 years, also serving for many years as director of Clinical Psychology Studies and as chair of the university’s Institutional Review Board. In 2016 he transitioned to emeritus status at the university. He has received the President’s Award for Distinguished Teaching at Princeton, where his various courses in abnormal psychology were among the university’s most popular. Professor Comer is also Clinical Associate Professor of Family Medicine and Community Health at Rutgers Robert Wood Johnson Medical School. He has also been a practicing clinical psychologist and served as a consultant to Eden Autism Services and to hospitals and family practice residency programs throughout New Jersey. In addition to writing the textbooks Fundamentals of Abnormal Psychology (tenth edition), Abnormal Psychology (eleventh edition), Psychology Around Us (second edition), and Case Studies in Abnormal Psychology (third edition), Professor Comer has published a range of journal articles and produced numerous widely used educational video programs, including The Higher Education Video Library Series, The Video Anthology for Abnormal Psychology, Video Segments in Neuroscience, Introduction to Psychology Video Clipboard, and Developmental Psychology Video Clipboard. Professor Comer was an undergraduate at the University of Pennsylvania and a graduate student at Clark University. He currently lives in Florida with his wife, Marlene. From there he keeps a close eye on his nearby grandchildren Delia and Emmett, somehow making the same mistakes with them that he made with their father Jon and their uncle Greg a generation ago. Then again, that turned out pretty well.

case study of abnormal behavior

M. Zachary Rosenthal

Dr. Zach Rosenthal is a clinical psychologist and Associate Professor with a joint appointment in both the Department of Psychiatry and Behavioral Sciences and the Department of Psychology and Neuroscience at Duke University. He leads the Duke Center for Misophonia and Emotion Regulation, Duke Cognitive Behavioral Research and Treatment Program, Anti-Racism Community in the Department of Psychology & Neuroscience, and is Co-Chief Psychologist for Duke University Medical Center. Dr. Rosenthal teaches and mentors undergraduate and graduate students, does research, treats patients, provides clinical supervision, and disseminates treatments through clinical training and consultation locally and internationally. He has published extensively and received grants to conduct research from a range of funding sources, including the National Institutes of Health, Department of Defense, various foundations, and major donors. As a licensed psychologist in North Carolina with expertise in cognitive behavioral therapies, he specializes in treating adults from an evidence-based and trauma-informed perspective with borderline personality disorder, misophonia, and other complex multi-diagnostic presentations.

Compelling real-life cases that students will love exploring

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  • Published: 26 May 2024

Effects of expanded adverse childhood experiences including school bullying, childhood poverty, and natural disasters on mental health in adulthood

  • Natsu Sasaki 1 ,
  • Kazuhiro Watanabe 2 ,
  • Yoshiaki Kanamori 3 ,
  • Takahiro Tabuchi 4 , 5 ,
  • Takeo Fujiwara 6 &
  • Daisuke Nishi 1  

Scientific Reports volume  14 , Article number:  12015 ( 2024 ) Cite this article

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  • Risk factors

The study aimed to examine the association of expanded adverse childhood experiences (ACEs) with psychological distress in adulthood. The data from nation-wide online cohort was used for analysis. Community dwelling adults in Japan were included. The ACEs was assessed by 15 items of ACE-J, including childhood poverty and school bullying. Severe psychological distress was determined as the score of Kessler 6 over 13. Multivariable logistic regression analysis was conducted, by using sample weighting. A total of 28,617 participants were analyzed. About 75% of Japanese people had one or more ACEs. The prevalence of those with ACEs over 4 was 14.7%. Those with ACEs over 4 showed adjusted odds ratio = 8.18 [95% CI 7.14–9.38] for severe psychological distress. The prevalence of childhood poverty was 29% for 50–64 year old participants and 40% of 65 or older participants. The impact of childhood poverty on psychological distress was less than other ACEs in these age cohorts. Bullying was experienced 21–27% in young generations, but 10% in 65 or older participants. However, the impact on psychological distress in adulthood was relatively high in all age groups. ACEs have impacted mental health for a long time. Future research and practice to reduce ACEs are encouraged.

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Introduction.

Adverse childhood experiences (ACEs) are traumatic events that children and adolescents under 18 years of age have experienced 1 . People with a history of ACEs are at greater risk of deterioration in physical and mental health 2 , 3 , and ultimately premature mortality 4 , 5 . The cumulative effect of a diverse range of ACEs can impact health outcomes in adulthood and far beyond from life-course perspectives 6 , 7 . Studies increasingly establish evidence that ACEs leads to develop mental health issues, including depression, substance misuse, and suicide 8 , 9 , 10 , 11 . A World Health Organization (WHO) study revealed that ACEs were associated with all lifetime DSM–IV disorders worldwide 12 . These associations are explained by both neurobiological development and external factors 13 . For example, early life exposure to chronic stress causes greater activation of the hypothalamic-pituitary-adrena (HPA) axis, and high levels of inflammation, resulting in deficits of cognitive and affective functioning and increased allostatic load 14 , 15 . ACEs also lead to impaired social functioning, such as lack of social support 16 , 17 , 18 .

ACEs traditionally included childhood maltreatment and household dysfunction. For example, physical neglect, characterized by a caregiver's failure to provide for a child's basic physical needs. Recently, the concept has been expanded to include community-level and social factors, such as school bullying and economic hardship 19 , 20 , 21 , 22 , 23 . Furthermore, ACEs can differ by race, culture, and era 19 , 22 . An ACE scale for the Japanese context (ACE-J) has been developed to assess expanded ACEs reflecting the Japanese situation 7 and its potential benefit of use is to capture the influence of expanded and culturally familiar ACEs on outcomes. For example, Japan has a high prevalence of both school bullying victimization and natural disasters compared to other countries 24 , 25 . Childhood poverty is also considered an important factor as a root cause of ACEs from life-course perspective 26 . Although the relationship between the conventional ACEs and mental health issues in adulthood have been well investigated, the more recent potential constructs of ACEs should be further explored 27 .

Few studies have examined long-term effects of a wide range of ACEs in Asians. In Japan, the association of conventional ACEs with mental health was last reported in 2011 28 . A scoping review about different types of ACEs from articles (n = 1281) showed that less articles reported expanded ACEs (e.g., household financial hardship; 18%, victimization by peers; 10%, exposure to natural disasters; 2%) 23 . Besides, over 60% of the articles related to ACEs published from United States 23 . This disproportionate evidence motivates researchers to examine long-term impact mental health by expanded ACEs in various countries. The understanding of its association in ethnic groups of a particular culture can lead to the development and implementation of locally sensitive countermeasures 29 . Moreover, empirical evidence about the association of the expanded concept of ACEs on mental health would benefit specifically to evaluate the impacts of each ACE.

The aim of this study was thus to examine the association of expanded ACEs with mental health in adulthood in Japanese community sample. The impact of childhood poverty and school bullying on mental health was investigated, considering demographic indicators.

Research design

For this research, we utilized data from the Japan COVID-19 and Society Internet Survey (JACSIS), an ongoing nationwide online cohort study conducted in Japan 30 . JACSIS cohort study began in August 2020. The JACSIS included community-dwelling individuals aged 15–79 years. The baseline sample of JACSIS was collected in 2020, consisting of 28,000 participants. In 2022, a follow-up survey was conducted for the participants from 2020 survey or 2021 survey, and new participants were also invited. This resulted in a total of 32,000 participants in the 2022 survey. This study employed a cross-sectional design using the JACSIS 2022 data, which was collected in September 2022.

Participant recruitment

To recruit participants, we utilized email messages to request survey participation from a research panel maintained by Rakuten Insight, Inc. This private company have information about over 2.2 million individuals aged 15 to 79 years with diverse sociodemographic backgrounds, representing the national population across all 47 prefectures of Japan. We employed a simple random sampling method based on sex, age, and prefecture category in accordance with the official Japanese demographic composition as of October 1, 2019, to select potential participants. Those who agreed to participate were provided access to a designated website. Participants had the option to skip questions or discontinue the survey at any point.

Data quality management

To ensure the validity of the data, we excluded respondents who exhibited discrepancies or provided artificial/unnatural responses. Specifically, we used three question items to identify such responses: "Please choose the second from the bottom," "choosing positive in all of a set of questions for using drugs," and "choosing positive in all of a set of questions for having chronic diseases." A total of 3,370 respondents were found to have provided such responses and were subsequently excluded from the study.

Participants

Our study included community-dwelling individuals in Japan who were over 18 years old and had complete data. Participants who were under 18 years old were excluded (n = 13).

Measurement variables

Expanded adverse childhood experiences.

We assessed Adverse Childhood Experiences (ACEs) using the Adverse Childhood Experiences Japanese version (ACE-J) questionnaire 7 . The ACE-J questionnaire was developed to measure individuals' exposure to various adversities during their childhood in Japan. For example, incarcerated household member was excluded, reflecting Japanese culture. Each category of adversity was represented by a single item, except for parental loss, which included both parental death and divorce or separation. In addition to the CDC-Kaiser ACE questionnaire 1 , the ACE-J included, childhood poverty, overcontrol, school bullying, hospitalization due to chronic disease, and exposure to life-threatening natural disasters. The ACE-J questionnaire consisted of a total of 15 items (parental death, parental divorce, mental illness in the household, substance abuse in the household, mother treated violently, physical abuse, physical neglect, emotional abuse, emotional neglect, childhood poverty, overcontrol [“I always felt suffocated because my parents did not respect my opinion”], school bullying, sexual abuse, hospitalization due to chronic disease, natural disaster), and participants were asked whether they had experienced each adversity before the age of 18. The response options were "Yes" or "No." One item related to emotional neglect was a reversed question, specifically assessing whether participants felt loved by their parents. To calculate the total number of ACEs experienced, the score of the reversed item was reversed, and the summed score of all ACE items was used. The ACE-J questionnaire was not validated in publication.

Psychological distress

Psychological distress refers to a broad range of emotional and psychological symptoms or experiences that can cause discomfort, suffering, or impairment in daily functioning. Psychological distress was measured by The Kessler Psychological Distress Scale (K6), which has been widely used and is preferred for screening for any DSM-IV mood or anxiety disorder. K6 includes six items that measure the frequency of psychological distress symptoms experienced by participants over the past 30 days 31 . Participants provide responses on a scale ranging from 0 (none of the time) to 4 (all the time). Previous studies have reported satisfactory internal reliability and validity for Japanese version of K6, showing that performance in areas under receiver operating characteristic curves (AUCs) was 0.94 detecting DSM-IV mood and anxiety disorders 32 . K6 scores over 13 are regarded as a serious mental distress 31 , 33 , 34 . Prevalence of people with over 13 scores of K6 was reported 4% in Japan 35 .

Demographic characteristics

The sociodemographic characteristics of the participants were assessed, including age, sex, educational attainment (categorized as less than high school, vocational/college, undergraduate, graduate or over), marital status (categorized as married, single/divorced), household income (categorized as < 3 million yen, 3–5 million yen, 5–8 million yen, 8–10 million yen, over 10 million yen, or no response/unknown), and working status (categorized as paid work, no paid work, or students).

Statistical analyses

First, the descriptive statistics were estimated. These included the prevalence of ACEs and severe psychological distress and the coexistence of the ACEs. To address a potential sampling bias due to the internet survey, a propensity score for participation in the internet survey was calculated. We utilized a demographic distribution of a national paper-based survey, the Comprehensive Survey of Living Conditions of People on Health and Welfare (CSLCPHW). Using sex and age group stratifications (sex × age groups = 14 strata), we calculated the propensity score separately for each stratum. The mean of the score was group-mean centered and was set to 1.0 within each stratum. Residential area, marital status, education, home-ownership (household), self-rated health and smoking status, which were available both CSLCPHW and JACSIS, were used for the model to calculate the propensity scores. The inversed propensity score was used as the sampling weight for the calculation of the prevalence of the ACEs and psychological distress. The difference in the prevalence of ACEs among stratified categories (sex and age groups) was tested using a chi-square test. Also, the summed number of ACEs was tested using a t-test in sex and one-way analysis of variance (ANOVA) in age category. The coexistence of the ACEs was presented as a matrix.

For the main analysis, the associations of ACEs with severe psychological distress were assessed by using logistic regression analysis, adjusted by age, sex, marital status household income, work, and educational attainment. The sampling bias was also adjusted by the inversed propensity score. Additionally, the subgroup analyses were conducted stratified by sex and age categories. The statistical significance for all analyses in this study is set at 0.05 (two-tailed), and 95% CIs were calculated. SPSS 28.0 (IBM Corp., Armonk, NY, USA) Japanese version was used.

Ethics approval and consent to participate

The study was reviewed and approved by the Research Ethics Committee of Graduate School of Medicine/Faculty of Medicine, The University of Tokyo (no. 2020336NI-(3)) and by the Research Ethics Committee of the Osaka International Cancer Institute (no. 20084). All methods were carried out in accordance with the Declaration of Helsinki.

Informed consent

Online informed consent was obtained from all participants with full disclosure and explanation of the purpose and procedures of this study. The panelists had the option to not respond to any part of the questionnaire and the option to discontinue participation in the survey at any point.

A total of 28,617 community dwelling people was included in the analysis. The participants’ characteristics are presented in Table 1 . The mean age was 48 years old (standard deviation [SD] = 17.1). Majority demographics included those who were married (62%), with undergraduate level of educational attainment (46%), and with paid work (65%).

The sample weighted prevalence of expanded ACEs is presented in Table 2 . The overall prevalence of expanded ACEs was varied from lowest (physical neglect = 3.2%) to highest (emotional neglect = 38.5%). The mean of summed number of ACEs was 1.75 (SD = 1.94). The histogram of the summed number of ACEs is presented in Supplementary Fig.  1 . The prevalence of those with ACEs over 4 was 14.7%. The prevalence of childhood poverty and school bullying was 26.3% and 20.8%, respectively.

For sexual difference, the mean of the summed number of ACEs was larger for females (1.85 vs 1.65; p < 0.001). Sexual abuse was particularly experienced more in female populations (6.9% vs 1.8%). For age difference, the mean of the summed number of ACEs was highest in age 35–49 years old (1.87 [SD 2.03]). Those over 65 years old showed lowest score of ACEs (1.55 [SD 1.73]). Among those over 65 years old, the prevalence of parental death (21%) and childhood poverty (40%) were higher than other age category (p < 0.001), and parental divorce (7%) was lower (p < 0.001).

Table 3 shows the prevalence of severe psychological distress (K6 ≥ 13), which was adjusted for weighed scores. The overall prevalence was 10.4%. The prevalence of severe psychological distress increased as the number of ACEs increased. The highest prevalence of high distress was observed in those with ACEs over 4 in ages 18–34 years old (40.7%). In the group with the same number of ACEs, younger groups showed significantly high prevalence of severe distress compared to older groups (p < 0.001). The significant group difference of sex was not shown in the group with 2 or more ACEs.

The result of the associations of ACEs with severe psychological distress is presented in Table 4 , using a logistic regression analysis. Almost all individual ACEs, except parental death, were significantly associated with high distress in adulthood in adjusted model (odds ratio ranging from 1.23 to 4.01). The adjusted odds ratio of school bullying, hospitalization due to chronic disease, and natural disaster was 3.04, 2.67, and 2.66; respectively. The odds of high distress increased as the number of ACEs increased; those with ACEs over 4 showed adjusted OR = 8.18 [95% CI: 7.14–9.38].

The result of logistic regression analysis which was stratified by sex and age category is shown in Table 5 . Adjusted odds ratio was rather higher in male than female in physical neglect and sexual abuse (aOR = 4.68 [3.68–5.94], aOR = 4.05 [3.06–5.36]; respectively). In age category, physical abuse and physical neglect were highly impacted on the prevalence of high distress among those over 65 years old (aOR = 5.60 [2.87–10.93], aOR = 6.27 [3.41–11.55]; respectively), compared to other age group. However, parental death, parental divorce, and childhood poverty showed lower odds among those over 65 years old and 50–64 years old, compare to 18–34 years old and 35–49 years old.

Supplementary table 1 shows the relationship between ACEs, which was adjusted for weighted scores. We found high comorbidity of ACEs; for example, those who experienced physical abuse also experienced emotional abuse (75%), overcontrol (68%), and emotional neglect (65%).

This study presented the high prevalence of expanded ACEs in Japan and its strong impact on mental health in adulthood. The mean of summed number of ACEs as measured by expanded ACEs scoring customized for Japanese people was 1.75. The prevalence of those with ACEs over 4 was 14.7% and they significantly showed high odds on severe psychological distress in adulthood, compared to those with none ACE (aOR = 8.18 [95% CI 7.14–9.38]). Childhood poverty showed lower odds among those over 65 years old and 50–64 years old compared to other ACEs. Bullying relatively showed higher odds among all age categories, with some difference of prevalence across age category.

About 75% of participants had one or more ACEs in this study. Reports of worldwide prevalence of ACEs are lower, including 62% in U.S. 36 and 47% in Europe 37 , by measuring 11 items of ACEs in both studies. A systematic review of a ACE-related study with a large sample reported that a pooled prevalence of individuals with one ACE was 23.5% in Europe and 23.4% in North America, and those with two or more was 18.7% in Europe and 35.0% in North America 38 . However, in expanded ACE study (The Philadelphia Urban ACE Study), a prevalence of 83.2% had at least one ACE and 37.3% experienced four or more ACEs, measured by 14 items with additional stresses including bullying 39 . These studies support our findings of prevalence of expanded ACEs.

Among 15 of the expanded ACEs, emotional neglect, childhood poverty, and bullying showed highest prevalence (39%, 26%, and 21%, respectively). A previous study from 2002–2004 using Japanese data reported that parental death (12%), parental divorce (11%), family violence (10%), and physical abuse (8%) were the most prevalent, but neglect was reported less (2%) 28 . The prevalence of emotional neglect in this present study (26%) may be over reported. When compared to recent studies, the prevalence of psychological neglect was 11.6% 40 . One possible reason was that emotional neglect in our study was measured by an inverse item (i.e., “I felt loved by my parents.”). Reversed items in surveys sometimes cause measurement problems due to misresponses 41 . Since this data was obtained online, the misresponse or careless answer may be more likely to occur compared to in-person interviews. However, based on the finding that there is a significant positive association between the presence of emotional neglect and severe psychological distress, it is possible that emotional neglect is this prevalent in Japan. Possible factors contributing to a high prevalence of emotional neglect might include Japan's traditionally reserved emotional culture (e.g., less expression of positive feelings 42 ), insufficient emotional support due to parental employment and household issues, as well as inadequate systems for early detection and protection, potentially resulting in an elevated prevalence rate. The expected level of “loved” for Japanese may be higher than the standard family relationship.

All 15 of the individual ACEs showed the negative impact on mental health, after adjusting covariates. Physical neglect and physical abuse showed highly negative associations (aOR = 4.01, 3.65; respectively). This result was partially consistent with the previous Japanese WHO survey data, which showed parental mental illness and physical abuse strongly affected the onset of mood disorder 28 . With a few exceptions 43 , few paper suggested that physical neglect had a significant impact on mental health; but we should note that those with physical neglect has high comorbidity of ACEs (e.g., childhood poverty, emotional abuse/neglect) in this study. Many studies suggested that emotional abuse and neglect had great impacts on mental health 44 , 45 , 46 , 47 . Such comorbidity might strengthen the impact of physical neglect. Consistent with Tzouvara and colleagues (2023), this study demonstrated that all ACEs can negatively impact mental health, and ACEs can manifest differently in different populations 27 .

In this study, school bullying impacted on deteriorated mental health in adulthood among all age categories, although the prevalence of experience was lower in older generations. School bullying have serious and lasting negative impacts on mental health, including depression 48 , 49 , 50 , 51 , anxiety 48 , 50 , 51 , 52 , 53 , post traumatic stress disorder (PTSD) 54 , and risk of suicide 51 , 52 . Japan has a higher prevalence of school bullying compared to most other countries (i.e., Japan 22% vs OECD countries 19%) 55 . This study showed that the prevalence was low in elderly population. The possible reasons for this low prevalence may less awareness, different school dynamics (societal norms), and supportive community functions in old Japanese 56 . A previous study indicated the widely varied exposure to bullying across countries 57 , even in one country, the prevalence may vary from generation to generation. To reduce the prevalence, evidence-based practice is needed to be implemented at school 58 .

Natural disasters as one of ACEs was overall experienced 3.5% and impacted on severe psychological distress in adulthood, except those 65 or older. The findings were in line with the previous studies, demonstrating that when experiencing natural disaster, such as earthquake, heavy rain/snowfall, flood, heatwaves, storm, and/or tsunami, can cause short-term and long-term deterioration in mental health 59 , 60 , 61 , 62 . The worldwide climate is rapidly changing and we face the increased risk of natural disaster. Assessing the psychological impact that the experience of natural disaster(s) causes may become increasingly important in the near future, in addition to the effort to avoid children from being exposed such traumatic events.

Childhood poverty was experienced more in older age (40% in 65 or older; 17% in 18–34-year-old group), but the negative impact on mental health was less among the elderly population. This result was in line with a previous study showing that accumulative exposure of the economic hardship impacted mental health, but that negative association was attenuated if they experienced upwards mobility 63 . Many of elderly population in this study experienced childhood poverty, but financial difficulty might not persist and change positively. Even so, we should not ignore the importance of childhood poverty for mental health in adulthood, as significant effects have also been found in older adults. A possible mechanism of the link between childhood poverty and mental health are presented; persistent poverty-related challenging tasks 64 , disengagement coping strategy 65 , diminished spatial short-term memory, and helplessness behaviors 66 . Poverty is not only one of the critical social determinants of health 67 , but also an adversity that should primarily be addressed during childhood, when it has significant implications for neurodevelopment, social development, and behavior. The findings of the present study posed the need to ensure that poverty does not persist among the young generation, who suffered economically in childhood.

Overall, this study showed the cumulative negative impacts of expanded ACEs on psychological distress in Japanese adults, as well as individual adversities. A previous study suggested that a 10% reduction in ACE prevalence could equate to annual savings of 3 million DALYs or $105 billion 38 . Primary prevention, or preventing children from having ACEs is urgent action for public mental health. In addition, childhood maltreatment has consistently been shown to be associated with poor treatment outcome after psycho- or pharmaco-therapy in depression 68 . Trauma-informed care can be one of the important approaches to be implemented for tertiary prevention.

Limitations

This study has several limitations. First, generalizability of the findings was limited because this was an online cohort study. Although we adopted sample weighting to adjust the bias and examined the prevalence with large number of participants, we should note that the present result may possibly be different from the real data of community dwelling people in Japan. Participants of online survey have access to the internet and motivation to answer the questionnaire with small reward. It is possible that participants with certain demographic characteristics and traits are likely to participate. Second, a recall bias in terms of measuring ACEs was not avoided. Older participants answered less ACEs may underestimate the impact. Third, the definition of school bullying may also vary between younger and older generations. The authors should note that the outcome of this study was obtained self-report questionnaire and it could cause self-reporting bias. Fourth, there are possibly unconsidered/unmeasured confounding factors. Many factors which can impact on mental health during or after COVID-19 have been presented, but not all factors can be comprehensively considered in the analytic model of this study. Fifth, the number of respondents excluded from the analysis due to inappropriate answer was relatively high. It may be possible that this procedure exclude participants with certain response tendencies. Sixth, although K6 has been shown the relationship with clinical outcome and diagnosis, further study which utilize other clinical assessment may need to be conducted in the future. Seventh, the specific age of having adversity is not clear in this study, although the timing may be important in some ACEs. Future research is needed to consider such detailed information and to examine precise mechanism of the associations of ACEs on health.

Research, policy, and practical implications

Prospective longitudinal study with information about expanded ACEs and clinical diagnosis of mental health disease may be beneficial to suggest the exact impact of ACEs on mental health. Specifically, it is essential to further investigate modifiable childhood factors within the home and school environments to develop effective prevention measures for ACEs through public health policies.

Data availability

The data used in this study are not available in a public repository because they contain personally identifiable or potentially sensitive patient information. Based on the regulations for ethical guidelines in Japan, the Research Ethics Committee of the Osaka International Cancer Institute has imposed restrictions on the dissemination of the data collected in this study. All data enquiries should be addressed to the person responsible for data management, Dr. Takahiro Tabuchi, at the following e-mail address: [email protected].

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Acknowledgements

We thank all study respondents and lab members for their sincere support.

This work was funded by the Japan Society for the Promotion of Science (JSPS) KAKENHI Grants [Grant Number 17H03589;19K10671;19K10446;18H03107; 18H03062;20H00040; 21H04856; 21H03203], the JSPS Grant-in-Aid for Young Scientists [Grant Number 19K19439], Research Support Program to Apply the Wisdom of the University to tackle COVID-19 Related Emergency Problems, University of Tsukuba, and a Health Labour Sciences Research Grant [Grant Number 19FA1005;19FG2001;22FA2001; 22FA1010].

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Author D.N. was in charge of this study, supervising the process, and providing his expert opinion on the subject. Authors N.S., T.T., and D.N. organized the study design. The questionnaire was created through discussions with collaborators outside of this work. N.S. analyzed the data. N.S. wrote the first draft of the manuscript, and T.T., T.F., Y.K., and K.W. revised the manuscript critically. K.W. and Y.K. supported the data analysis. All authors approved the final version of the manuscript. The sponsors played no role in the design of the study; in collecting the data or managing the study; in data analysis; in the interpretation of the data; in the preparation, review, or approval of the manuscript; or in the decision to submit the manuscript for publication.

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Sasaki, N., Watanabe, K., Kanamori, Y. et al. Effects of expanded adverse childhood experiences including school bullying, childhood poverty, and natural disasters on mental health in adulthood. Sci Rep 14 , 12015 (2024). https://doi.org/10.1038/s41598-024-62634-7

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Received : 17 October 2023

Accepted : 20 May 2024

Published : 26 May 2024

DOI : https://doi.org/10.1038/s41598-024-62634-7

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