Exploring Sociodemographic and Mental Health Differences Among Constructed Male Victim Severity Profiles.
Stigmas and taboos surrounding male sexual violence, stating that men cannot be sexually victimized and would not experience many adverse effects as a result, continue to shroud the issue of male sexual victimization (SV). Male victims, therefore, remain under-recognized in research, policy, and tre...
| Publicado en: | Journal of Interpersonal Violence Vol. 38; no. 17/18; pp. 10433 - 10465 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Sage Publications Inc.
Sep2023
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=166099557&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 166099557 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 08862605 JIV jtl: Journal of Interpersonal Violence issn: 08862605 maglogo: Y pubinfo: dt: Sep2023 vid: 38 iid: 17/18 pid: 344 pub: Sage Publications Inc. artinfo: ui: 166099557 10.1177/08862605231173432 ppf: 10433 ppct: 32 formats: tig: atl: Exploring Sociodemographic and Mental Health Differences Among Constructed Male Victim Severity Profiles. aug: au: Depraetere, Joke Vander Beken, Tom Keygnaert, Ines Vandeviver, Christophe affil: Ghent University, Belgium Research Foundation—Flanders (FWO), Brussels, Belgium su: Belgium Alcoholism risk factors Mental depression risk factors Suicide risk factors Sexual orientation Paraphilias Men's health Analysis of variance Self-evaluation Age distribution Economic status Rape Mental health Social stigma Victim psychology Sexual harassment Psychological tests Stereotypes Sex crimes Employment Interpersonal relations Sociodemographic factors Anxiety Self-mutilation Structural equation modeling Statistics Confidence intervals Multiple regression analysis Multivariate analysis Goodness-of-fit tests Severity of illness index Risk assessment Surveys Disease prevalence Descriptive statistics Questionnaires Scale analysis (Psychology) Statistical sampling Data analysis software Odds ratio Data analysis Voyeurism Psychological resilience Evaluation sug: subj: Alcoholism risk factors Mental depression risk factors Suicide risk factors Sexual orientation Paraphilias Men's health Analysis of variance Self-evaluation Age distribution Economic status Rape Mental health Social stigma Victim psychology Sexual harassment Psychological tests Stereotypes Sex crimes Employment Interpersonal relations Sociodemographic factors Anxiety Self-mutilation Belgium Offices of Mental Health Practitioners (except Physicians) Marketing Research and Public Opinion Polling Structural equation modeling Statistics Confidence intervals Multiple regression analysis Multivariate analysis Goodness-of-fit tests Severity of illness index Risk assessment Surveys Disease prevalence Descriptive statistics Questionnaires Scale analysis (Psychology) Statistical sampling Data analysis software Odds ratio Data analysis Voyeurism Psychological resilience Evaluation keyword: male victims prevention revictimization sexual assault sexual harassment male victims prevention revictimization sexual assault sexual harassment ab: Stigmas and taboos surrounding male sexual violence, stating that men cannot be sexually victimized and would not experience many adverse effects as a result, continue to shroud the issue of male sexual victimization (SV). Male victims, therefore, remain under-recognized in research, policy, and treatment provisions. Furthermore, knowledge regarding male SV is severely compromised by studying male victims in convenience samples with a focus on hands-on forms of sexual violence. Finally, severity of SV is often described using a one-dimensional approach based on presumed severity leading to an oversimplified image. This study addresses these various gaps in scientific research by constructing severity profiles of male SV based on self-reported consequences, prevalence, and co-occurrence of SV. A total of 1,078 male victims were selected from a Belgian nationally representative sample collected between October 2019 and January 2021. Profiles are constructed using latent class analysis. Sociodemographic differences across the profiles are examined through multinomial regression analysis. Finally, differences in current mental health problems across the profiles are assessed. Four distinct male victim profiles are identified: (a) low severity—low victimization (58.3%), (b) medium severity—hands-off victimization (21.4%), (c) medium severity—poly-victimization (13.3%), and (d) high severity—poly-victimization (7.0%). Group comparisons show how male victims in the high-severity class report significantly higher rates of mental health problems such as depression, anxiety, and suicide and/or self-harm. Significant differences in class membership were found for age, occupational status, relationship status, sexual orientation, and financial status. This study provides new insights in the patterns of male SV and highlights the presence of poly-victimization among male victims. Additionally, we point out how the so-called minor forms of SV (i.e., hands-off SV) can have a large effect on male victims. The study ends with suggestions for care and future research. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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