Transdiagnostic dimensions towards personality pathology and childhood traumatic experience in a clinical sample: subtype classification by a cross-sectional analysis
Open accessAbstract
Psychiatric disorders are highly heterogeneous syndromes often explained by underlying and internalized personality disorder(PD) traits that are affected by externalized childhood trauma experiences(CTE). The present study investigated the differential subtype model by examining the association between PD traits and CTE in a clinical sample with transdiagnostic psychopathology. Outpatients(n = 2090) presenting for psychiatric treatment completed self-reported measures of PD traits(Personality Diagnostic Questionnaire) and the childhood adversity(Child Trauma Questionnaire). Canonical variates were generated by canonical correlation analysis(CCA) and then used for hierarchical cluster analysis to produce subtypes. A support vector machine(SVM) model was used and validated using a linear kernel to assess the utility of the extracted subtypes of outpatients in clinical diagnosis classifications. The CCA determined two linear combinations: emotional abuse related dissociality PD traits(antisocial and paranoid PD) and emotional neglect related sociality PD traits(schizoid, passive-aggressive, depressive, histrionic, and avoidant PD). A cluster analysis revealed three subtypes defined by distinct and relatively homogeneous patterns along two dimensions, and comprising 17.5%(cluster-1, n = 365), 34.8%(cluster-2, n = 727), and 47.8%(cluster-3, n = 998) of the sample, each with distinctive features of PD traits and CTE. These subtypes suggest more distinct PD trait correlates of CTE manifestations than were captured by clinical phenomenological diagnostic definitions. Our results highlight important subtypes of psychiatric patients that highlight PD traits and CTE that transcend current diagnostic boundaries. The three different subtypes reflect significant differences in PD and CTE characteristics and lend support to efforts to develop PD and childhood trauma targeted psychotherapy that extends to clinical diagnosis-based interventions.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The PDQ-4+ has high sensitivity (0.89) and acceptable specificity (0.65) for screening DSM-IV PDs among Chinese psychiatric patients.
“The PDQ-4+ has high sensitivity (0.89) and acceptable specificity (0.65), making it a widely used tool for screening DSM-IV PDs among Chinese psychiatric patients.”
From Age-related differences in borderline personality disorder traits and childhood maltreatment: a cross-sectional study (2025) · cites this paper as [14]
The Methods > Measures passage reports sensitivity of 0.89 and specificity of 0.65 for screening PD patients and says the PDQ-4+ measures DSM-IV PD traits. Methods > Subjects, settings and procedures shows its use to screen psychiatric outpatients in China. The paper calls specificity “moderate” and does not establish the citing sentence’s additional claim that the tool is widely used. (LLM, conf=0.83)
Experimental — accuracy not yet measuredThe more extensive the experience of CM, the higher the risk of developing BPD.
“Studies have consistently shown that the more extensive the experience of CM, the higher the risk of developing BPD.”
From Age-related differences in borderline personality disorder traits and childhood maltreatment: a cross-sectional study (2025) · cites this paper as [14]
The cluster comparisons (Methods > Statistical analysis; page not provided) show that the group with the highest mean childhood-trauma score also had the highest proportion diagnosed with borderline personality disorder. But this cross-sectional association does not establish that progressively more extensive childhood maltreatment increases the risk of developing BPD; the paper says it cannot determine whether its subtypes predict symptom onset (Discussion > Strengths and limitations; page not provided). (LLM, conf=0.85)
Experimental — accuracy not yet measuredDifferent types of CM can uniquely contribute to specific BPD traits.
“Research indicates that different types of CM can uniquely contribute to specific BPD traits, highlighting the importance of addressing these experiences in therapeutic interventions (14–17).”
From Age-related differences in borderline personality disorder traits and childhood maltreatment: a cross-sectional study (2025) · cites this paper as [14]
The Results (Correlations and Canonical correlation; page unavailable) associate different childhood trauma types with different personality-disorder traits. The reported associations concern traits such as antisocial, paranoid and avoidant traits, not specific borderline personality disorder (BPD) traits; the cross-sectional findings also do not establish that trauma types uniquely contribute to those traits. The Conclusion proposes further research on individualized interventions, rather than demonstrating their effectiveness. (LLM, conf=0.86)
Experimental — accuracy not yet measuredChildhood maltreatment is a well-documented risk factor for BPD.
“childhood maltreatment (CM) is a well-documented risk factor for BPD.”
From Age-related differences in borderline personality disorder traits and childhood maltreatment: a cross-sectional study (2025) · cites this paper as [14]
The Results (Correlations; page not provided) report significant associations between childhood-trauma scores and personality-disorder traits, including Cluster B traits. The paper measures borderline traits, but its cross-sectional findings do not establish childhood maltreatment as a risk factor specifically for BPD. (LLM, conf=0.82)
Experimental — accuracy not yet measuredThe PDQ-4+ has high test-retest reliability (0.92) in the Chinese population.
“It has demonstrated high test-retest reliability (0.92) in the Chinese population, confirming its consistency in producing reliable results (5, 14, 21).”
From Age-related differences in borderline personality disorder traits and childhood maltreatment: a cross-sectional study (2025) · cites this paper as [14]
The Methods > Measures passage reports PDQ-4+ sensitivity (0.89) and specificity (0.65), not test–retest reliability. It gives a test–retest value of 0.70 for a different instrument, the Chinese SCID-II. Searches for PDQ-4+ test–retest reliability and 0.92 found no passage supporting the claimed value. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Insel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D. S., Quinn, K., Sanislow, C., & Wang, P. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.09091379 · Cited by 7,067 · see citing works
Toward the future of psychiatric diagnosis: the seven pillars of RDoC
Cuthbert, B. N., & Insel, T. R. (2013) · BMC Medicine · doi:10.1186/1741-7015-11-126 · Cited by 3,053 · see citing works
Validity of adult retrospective reports of adverse childhood experiences: review of the evidence
Hardt, J., & Rutter, M. (2004) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2004.00218.x · Cited by 2,827 · see citing works
Comorbidity of anxiety and depression in children and adolescents: 20 years after
Cummings, C. M., Caporino, N. E., & Kendall, P. C. (2014) · Psychological Bulletin · doi:10.1037/a0034733 · Cited by 1,028 · see citing works
McLaughlin, K. A., Greif Green, J., Gruber, M. J., Sampson, N. A., Zaslavsky, A. M., & Kessler, R. C. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.2277 · Cited by 992 · see citing works
Reuben, A., Moffitt, T. E., Caspi, A., Belsky, D. W., Harrington, H., Schroeder, F., Hogan, S., Ramrakha, S., Poulton, R., & Danese, A. (2016) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12621 · Cited by 835 · see citing works
Identification of Distinct Psychosis Biotypes Using Brain-Based Biomarkers
Clementz, B. A., Sweeney, J. A., Hamm, J. P., Ivleva, E. I., Ethridge, L. E., Pearlson, G. D., Keshavan, M. S., & Tamminga, C. A. (2016) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.14091200 · Cited by 768 · see citing works
DSM-5 and RDoC: progress in psychiatry research?
Casey, B. J., Craddock, N., Cuthbert, B. N., Hyman, S. E., Lee, F. S., & Ressler, K. J. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3621 · Cited by 434 · see citing works
Magidson, J. F., Roberts, B. W., Collado-Rodriguez, A., & Lejuez, C. W. (2012) · Developmental Psychology · doi:10.1037/a0030583 · Cited by 305 · see citing works
Comorbidity of depression and anxiety disorders in later life
Lenze, E. J., Mulsant, B. H., Shear, M. K., Alexopoulos, G. S., Frank, E., & Reynolds, C. F. (2001) · Depression and Anxiety · doi:10.1002/da.1050 · Cited by 180 · see citing works
A metastructural model of mental disorders and pathological personality traits
Wright, A. G. C., & Simms, L. J. (2015) · Psychological Medicine · doi:10.1017/s0033291715000252 · Cited by 177 · see citing works
A meta-analysis of the effects of psychotherapy with sexually abused children and adolescents
Harvey, S. T., & Taylor, J. E. (2010) · Clinical Psychology Review · doi:10.1016/j.cpr.2010.03.006 · Cited by 118 · see citing works
Rafiq, S., Campodonico, C., & Varese, F. (2018) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.12969 · Cited by 108 · see citing works
Hengartner, M. P., Ajdacic-Gross, V., Rodgers, S., Müller, M., & Rössler, W. (2013) · European Psychiatry · doi:10.1016/j.eurpsy.2013.04.004 · Cited by 90 · see citing works
Role of childhood traumatic experience in personality disorders in China
Zhang, T., Chow, A., Wang, L., Dai, Y., & Xiao, Z. (2012) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2011.10.004 · Cited by 83 · see citing works
Self-citationData-Driven Phenotypic Categorization for Neurobiological Analyses: Beyond DSM-5 Labels
Dam, N. T. V., O’Connor, D. A., Marcelle, E. T., Ho, E. J., Craddock, R. C., Tobe, R. H., Gabbay, V., Hudziak, J. J., Castellanos, F. X., LEVENTHAL, B. L., et al. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.06.027 · Cited by 83 · see citing works
Watson, D., Stanton, K. J., & Clark, L. A. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.09.065 · Cited by 71 · see citing works
Psychiatric comorbidity: is more less?
Pincus, H. A., Tew, J. D., & First, M. B. (2004) · Europe PMC (PubMed Central) · Cited by 66 · see citing works
Personality and changes in comorbidity patterns among anxiety and depressive disorders.
Spinhoven, P., de Rooij, M., Heiser, W. J., Smit, J. H., & Penninx, B. W. J. H. (2012) · Journal of Abnormal Psychology · doi:10.1037/a0028234 · Cited by 62 · see citing works
Liu, J., Drane, W., Liu, X., & Wu, T. (2008) · Environmental Research · doi:10.1016/j.envres.2008.11.002 · Cited by 60 · see citing works
Baryshnikov, I., Joffe, G., Koivisto, M., Melartin, T. K., Aaltonen, K. I., Suominen, K. H., Rosenström, T. H., Näätänen, P., Karpov, B., Heikkinen, M. E., et al. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.12.004 · Cited by 55 · see citing works
Smucny, J., Lesh, T. A., Newton, K., Niendam, T. A., Ragland, J. D., & Carter, C. S. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2017.233 · Cited by 55 · see citing works
Moscati, A., Flint, J., & Kendler, K. (2015) · Depression and Anxiety · doi:10.1002/da.22432 · Cited by 51 · see citing works
Zhang, T., Wang, L., Good, M. D., Good, B. J., Chow, A., Dai, Y., Yu, J., Zhang, H., & Xiao, Z. (2011) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-011-0445-x · Cited by 48 · see citing works
Self-citationRDoC and translational perspectives on the genetics of trauma‐related psychiatric disorders
Montalvo‐Ortiz, J. L., Gelernter, J. E., Hudziak, J. J., & Kaufman, J. (2015) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32395 · Cited by 38 · see citing works
The importance of developmental field trials in the revision of psychiatric classifications
First, M. B. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(16)00048-1 · Cited by 30 · see citing works
Kabir, A., Merrill, R. D., Shamim, A. A., Klemn, R. D. W., Labrique, A. B., Christian, P. S., West, K. P., & Nasser, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0094243 · Cited by 29 · see citing works
Zhang, T.-H., Li, H.-J., Tang, Y.-Y., Li, H., Zheng, L.-N., Guo, Q., Zhao, S.-Y., Zhuo, K., Qian, Z.-Y., Wang, L., et al. (2015) · Psychiatry Research · doi:10.1016/j.psychres.2015.04.049 · Cited by 26 · see citing works
Self-citationNegative emotionality across diagnostic models: RDoC, DSM-5 Section III, and FFM.
Gore, W. L., & Widiger, T. A. (2018) · Personality Disorders Theory Research and Treatment · doi:10.1037/per0000273 · Cited by 18 · see citing works
Latent structure of negative valence measures in childhood
Lee, M., Aggen, S. H., Carney, D. M., Hahn, S., Moroney, E., Machlin, L., Brotman, M. A., Towbin, K. E., Leibenluft, E., Pine, D. S., et al. (2017) · Depression and Anxiety · doi:10.1002/da.22656 · Cited by 14 · see citing works
Baryshnikov, I., Aaltonen, K. I., Suvisaari, J., Koivisto, M., Heikkinen, M. E., Joffe, G., & Isometsä, E. T. (2018) · European Psychiatry · doi:10.1016/j.eurpsy.2017.12.005 · Cited by 6 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Gökdağ, C., Arkar, H., & Pırıldar, Ş. (2023) · International Journal of Cognitive Therapy · doi:10.1007/s41811-023-00170-4 · Cited by 16 · see citing works
Zhang, L., Zhao, N., Zhu, M., Tang, M., Liu, W., & Hong, W. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1247063 · Cited by 13 · see citing works
Luo, X., Liu, J., Chen, H., Li, B., Jin, Z., Zhao, M., Xie, Y., Yu, C., Zhou, X., Zhao, B., et al. (2019) · Oral Oncology · doi:10.1016/j.oraloncology.2019.104506 · Cited by 11 · see citing works
Prevalence of Comorbid Personality Disorder in Psychotic and Non-psychotic Disorders
Wang, Q., Zhang, L., Zhang, J., Ye, Z., Li, P., Wang, F., Yili, C., Zhang, S., Zhou, F., Ai, Z., et al. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.800047 · Cited by 10 · see citing works
Wang, Q., Liu, G., Li, J., Zhang, M., Chen, H., Chen, C., Wang, C., Liu, N., & Zhang, N. (2020) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2020.07.026 · Cited by 9 · see citing works
Risk Factors in Depression and Anxiety Disorders from the Framework of Developmental Psychopathology
Gökdağ, C., & Kiziltepe, R. (2023) · Psikiyatride Guncel Yaklasimlar · doi:10.18863/pgy.1118163 · Cited by 7 · see citing works
Zhao, N., Shi, D., Huang, J., Chen, Q., & Wang, Q. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.754174 · Cited by 5 · see citing works
Li, G., Lin, Y., Xu, Y., Zhou, Y., Wei, Y., Xu, L., Tang, X., Wang, Z., Hu, Q., Wang, J., et al. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1454328 · Cited by 3 · see citing works
Self-citationSaini, B., Bansal, P. D., Bahetra, M., Arvind, S., Bansal, P., Singh, B., Moria, K., & Kumar, R. (2021) · Indian Journal of Psychological Medicine · doi:10.1177/0253717621999537 · Cited by 2 · see citing works
Lin, Y. Q., Guo, Z., Zhou, Y. Z., Wei, Y., Xu, L., Tang, X., Wang, Z., Hu, Y., Wang, J., Mei, Y., et al. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1424966 · Cited by 3 · see citing works
Self-citationSex Differences in Personality Disorder and Childhood Maltreatment of Patients with Schizophrenia
Wang, X., Ni, X., Wei, Y., Xu, L., Tang, X., Liu, H., Wang, Z., Chen, T., Wang, J., Zhang, Q., et al. (2024) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s462346 · Cited by 1 · see citing works
Self-citationGuo, Z., Li, N., Wei, Y., Xu, L., Tang, X., Hu, Q., Zeng, L., Gao, J., Wang, J., Ju, M., et al. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-07385-z · Cited by 1 · see citing works
Self-citationDie schizoide Persönlichkeitsstörung in der ICD-11
Schmeck, K., & Schlüter-Müller, S. (2022) · PTT - Persönlichkeitsstörungen: Theorie und Therapie · doi:10.21706/ptt-26-4-418 · Cited by 1 · see citing works
Wang, W., Cui, Y., Hu, Q., Wei, Y., Xu, L., Tang, X., Hu, Y., Liu, H., Wang, Z., Chen, T., et al. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1336118
Self-citation
- Authors
- Wang, J., Sun, W., Tang, X., Xu, L., Wei, Y., Cui, H., Tang, Y., Hui, L., Jia, Q., Zhu, H., Wang, J., & Zhang, T.
- Affiliations
- Punan Hospital (CN)
- Shanghai Jiao Tong University (CN)
- Soochow University (CN)
- Corresponding author
- Zhu, Hongliang
- Zhang, TianHong
- Venue
- Scientific Reports
- Published
- 2019-08-02
- Volume
- 9
- Issue
- 1
- Pages
- 11248-11248
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC6677786
- OpenAlex
- W2965148987
- Cited by
- 14
- References
- 31
- Citations by year
- 2025: 2 · 2024: 3 · 2023: 3 · 2022: 1 · 2021: 3 · 2020: 1 · 2019: 1
- FWCI
- 1.75
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Natural Science Foundation of China (81671329, 81671332, 13dz2260500, (81671329, 81671332)
- Science and Technology Commission of Shanghai Municipality (CRC2018ZD01, 18ZR1432600, 13dz2260500, 19441907800, 18411952400, 19441907800, 18411952400, 18ZR1432600)
- Suzhou Municipal Science and Technology Bureau (sys2018097)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Personality Disorders and Psychopathology
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Social Sciences › Psychology › Clinical Psychology › Child Abuse and Trauma
- Keywords
- personality disorder traits, childhood trauma, transdiagnostic psychopathology, personality disorder subtypes, emotional abuse, emotional neglect, antisocial personality disorder, paranoid personality disorder, schizoid personality disorder, passive-aggressive personality disorder, histrionic personality disorder, avoidant personality disorder, depressive personality disorder, personality disorder diagnosis, psychiatric outpatients
- MeSH terms
- Adult Survivors of Child Adverse Events, Adult, Cross-Sectional Studies, Female, Humans, Male, Personality Disorders, Psychometrics, Psychotherapy, Cluster Analysis, Young Adult, Self Report, Support Vector Machine
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review