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1.
J Interpers Violence ; 38(7-8): 5902-5936, 2023 04.
Article in English | MEDLINE | ID: mdl-36300615

ABSTRACT

Homelessness is a public health crisis both nationally, in the United States, and internationally. Nevertheless, due to the hidden vulnerabilities of persons who are without shelter, little is known about their experiences during periods of homelessness. The present research adopts a network approach that conceptualizes how the major risk factors of homelessness interact, namely substance abuse problems, poor mental health, disability, and exposure to physical or sexual violence by an intimate partner. Our analysis draws on a large demographic survey of over 5,000 unsheltered homeless persons conducted in 2017 by the Los Angeles Homeless Services Authority. We estimated a network structure for 12 survey items tapping individual risk using the graphical least absolute shrinkage and selection operator algorithm. We then examined network centrality metrics and implemented a community detection algorithm to detect communities in the network. Our results indicated that mental illness and intimate partner violence (IPV) are central measures that connect all other mental and physical health variables together and that post-traumatic stress disorder and IPV are both highly affected by changes in any part of the network and, in turn, affect changes in other parts of the network. A community detection analysis derived four communities characterized by disability, sexual victimization and health, substance use, and mental health issues. Finally, a directed acyclic graph revealed that drug abuse and physical disability were key drivers of the overall system. We conclude with a discussion of the major implications of our findings and suggest how our results might inform programs aimed at homelessness prevention and intervention.


Subject(s)
Ill-Housed Persons , Intimate Partner Violence , Sex Offenses , Substance-Related Disorders , Humans , United States , Los Angeles , Sexual Behavior , Sex Offenses/psychology , Intimate Partner Violence/psychology , Substance-Related Disorders/psychology
2.
Child Abuse Negl ; 104: 104468, 2020 06.
Article in English | MEDLINE | ID: mdl-32247917

ABSTRACT

BACKGROUND: Previous research has tied adverse childhood experiences (ACEs) to a variety of deleterious mental health, physical, and behavioral outcomes. There has been some examination of the relationship between ACEs and selling sexual services, but not on the relation of ACEs to purchasing. OBJECTIVE: We hypothesize a cumulative impact of ACEs on the propensity to purchase and buy and sell sex. We further hypothesize that childhood sexual abuse will have unique impacts on buying and selling. PARTICIPANTS & SETTING: We recruited participants who had ever/never exchanged money or things of values for sex through Amazon MTurk (n = 930). METHODS: Using logistic regression, we examined how cumulative ACEs and each separate ACE increased propensity to buy or sell sex. We controlled for sex, age, race, employment status, and sexuality. RESULTS: Utilizing the analysis from cumulative ACEs found that the propensity to buy (odds ratio 1.11***) and sell sex (odds ratio 1.094**) increased as cumulative ACE score increased. Bisexuals had high propensity of both buying (odds ratio 2.12) and selling sex (odds ratio 2.74). Women (odds ratio 0.53) and people of color (odds ratio 0.65) where more likely to sell than others. For odds of buying sex, childhood sexual abuse (odds ratio 1.57) had the most impact. For selling sex, childhood sexual abuse (odds ratio 1.96) and household physical violence (odds ratio 2.73) increased propensity while household mental abuse (odds ratio 0.57) decreased propensity. CONCLUSIONS: Understanding the impact of ACEs is important to understand participation as a buyer and seller in the commercialized sex market.


Subject(s)
Adult Survivors of Child Adverse Events/psychology , Adverse Childhood Experiences/psychology , Sex Work/statistics & numerical data , Sex Workers/statistics & numerical data , Adult , Aged , Female , Humans , Logistic Models , Male , Middle Aged , Odds Ratio , Young Adult
3.
Violence Vict ; 29(4): 620-35, 2014.
Article in English | MEDLINE | ID: mdl-25199390

ABSTRACT

The cycle of violence thesis posits that early exposure to maltreatment increases the likelihood of later maladaptive and antisocial behaviors. Childhood sexual abuse (CSA) specifically has been shown to increase the likelihood of sexual offending, although less is known about its linkages to other forms of crime. Based on data from 2,520 incarcerated male juvenile offenders from a large southern state, hierarchical logistic regression models suggested that CSA increased the likelihood of later sexual offending nearly sixfold (467% increase). However, CSA was associated with an 83% reduced likelihood of homicide offending and 68% reduced likelihood of serious person/property offending. These findings suggest further support for the cycle of violence where CSA promotes sexual offending but novel findings regarding the linkages between CSA and other forms of crime.


Subject(s)
Child Abuse, Sexual/statistics & numerical data , Crime Victims/statistics & numerical data , Juvenile Delinquency/statistics & numerical data , Sex Offenses/statistics & numerical data , Adolescent , Causality , Child , Child Abuse/statistics & numerical data , Evidence-Based Medicine , Female , Humans , Interpersonal Relations , Logistic Models , Male , Recurrence , Risk Factors
4.
Int J Offender Ther Comp Criminol ; 55(8): 1186-207, 2011 Dec.
Article in English | MEDLINE | ID: mdl-22114166

ABSTRACT

The importation model is a venerable theoretical explanation for inmate misconduct but it has not been extended in nearly 50 years. The current study advances a life course importation model of inmate behavior where life events in childhood cascade to predict antisocial behavior during adolescence and misconduct occurring during periods of confinement. Based on data from 2,520 institutionalized male delinquents, ordinary least squares, logistic, and negative binomial regression models indicated that family background variables were largely predictive of multiple facets of delinquent careers. Negative binomial regression models of institutional misconduct indicated that proximal delinquent career variables were more consistently associated with misconduct than distal family background factors. Because institutional behavior can be understood as the importing of family deprivation experiences and chronic delinquency, the life course importation model is a useful conceptual framework to study crime over the life course, even including periods of confinement.


Subject(s)
Behavior , Models, Psychological , Prisoners/psychology , Antisocial Personality Disorder/psychology , Family Relations , Humans , Male , Poverty , Regression Analysis , Substance-Related Disorders/psychology , Violence/psychology
5.
Article in English | MEDLINE | ID: mdl-21051547

ABSTRACT

The importation model is a venerable theoretical explanation for inmate misconduct but it has not been extended in nearly 50 years. The current study advances a life course importation model of inmate behavior where life events in childhood cascade to predict antisocial behavior during adolescence and misconduct occurring during periods of confinement. Based on data from 2,520 institutionalized male delinquents, ordinary least squares, logistic, and negative binomial regression models indicated that family background variables were largely predictive of multiple facets of delinquent careers. Negative binomial regression models of institutional misconduct indicated that proximal delinquent career variables were more consistently associated with misconduct than distal family background factors. Because institutional behavior can be understood as the importing of family deprivation experiences and chronic delinquency, the life course importation model is a useful conceptual framework to study crime over the life course, even including periods of confinement.

6.
Crim Behav Ment Health ; 18(5): 292-305, 2008.
Article in English | MEDLINE | ID: mdl-19072890

ABSTRACT

BACKGROUND: Little is known about the institutional behaviour of incarcerated sex offenders. AIM: To study the relationships between juvenile sex offending, thought psychopathology and institutional misconduct. METHOD: We applied negative binomial regression and Area Under Curve Receiver Operating Characteristic (AUC-ROC) analyses to self-report and records data from institutionalised delinquents (N = 813) committed to the California Youth Authority to explore the links between sex offending and institutional misconduct, controlling for offender demographics, institution, index offence, and self-reported and official criminal history. RESULTS: Juvenile sex offending was associated with six forms of institutional misconduct (sexual, general and total misconduct as reviewed by parole board) over 12 and 24 months prior to rating. Two measures of thought psychopathology, which were related to psychosis-like thought, were significantly associated with juvenile sex offender status. These constructs did not, however, mediate the independent predictive effects of adolescent sex offending on institutional misconduct. CONCLUSION: Interventions to help incarcerated young offenders are likely to be particularly important for those with a sex offending history as they are otherwise likely to persist with antisocial behaviours of all kinds within and beyond the institution. Attention to their thought processes may be particularly useful.


Subject(s)
Juvenile Delinquency/psychology , Prisoners/psychology , Sex Offenses/psychology , Thinking , Violence/psychology , Adolescent , Adult , California , Child , Cross-Sectional Studies , Delusions , Female , Humans , Juvenile Delinquency/rehabilitation , Male , ROC Curve , Regression Analysis , Retrospective Studies , Sex Offenses/prevention & control , Social Alienation , Violence/prevention & control
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