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Статті в журналах з теми "Risk and protective factors, maltreatment":

1

Feely, Megan. "Changed for the Better: The Modifiable Maltreatment Factors Framework." Societies 12, no. 1 (February 9, 2022): 21. http://dx.doi.org/10.3390/soc12010021.

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Rates of child maltreatment in the U.S. have been relatively stagnant since the 1990s. This lack of progress suggests that prevention efforts, which have primarily focused on individual behaviors, have been unsuccessful. Building on existing research, this conceptual paper identifies the need to refocus prevention efforts on changeable and causal risk factors. The Modifiable Maltreatment Factors (MMF), a new framework to classify risk factors for maltreatment, is introduced. Use of the MMF in social work education and child protective services work could increase the understanding of macro factors in child maltreatment and the possibilities of policy change and community organizing in maltreatment prevention.
2

Jackson, Shelly L., and Thomas L. Hafemeister. "Risk Factors Associated With Elder Abuse: The Importance of Differentiating by Type of Elder Maltreatment." Violence and Victims 26, no. 6 (2011): 738–57. http://dx.doi.org/10.1891/0886-6708.26.6.738.

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Elder abuse research rarely differentiates by the type of elder maltreatment involved when identifying risk factors. The purpose of this study was to compare risk factors across four predominant types of elder maltreatment (financial exploitation, physical abuse, neglect by others, and hybrid financial exploitation [HFE]). Data were collected from two sources: interviews with victims of substantiated elder abuse, responding adult protective services (APS) caseworkers (N = 71), and third-party informants; and a statewide database that contained all substantiated cases over a corresponding 2-year period (N = 2,142). Using chi-square (interview data) and logistic regressions (Adult Services/Adult Protective Services [ASAPS] data), significant differences across the four types of elder maltreatment were found. These two datasets provide converging evidence for the importance of differentiating by type of maltreatment when identifying risk factors for elder maltreatment and for the importance of considering both the elderly victim and the abusive individual when predicting type of elder maltreatment.
3

Austin, Anna E., Alexandria M. Lesak, and Meghan E. Shanahan. "Risk and Protective Factors for Child Maltreatment: a Review." Current Epidemiology Reports 7, no. 4 (October 7, 2020): 334–42. http://dx.doi.org/10.1007/s40471-020-00252-3.

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4

Kim, Eun Mi, Sona Lee, Hye Young Ahn, and Hye Seon Choi. "Structural Equation Model on the Problem Behavior of Adolescents." International Journal of Environmental Research and Public Health 20, no. 1 (December 31, 2022): 756. http://dx.doi.org/10.3390/ijerph20010756.

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This study aimed to explain direct and indirect relationship between psychological maltreatment, socio-psychological prevention factors, and problem behavior of adolescents based upon Jessor’s protective-risk model and Haase’s adolescent resilience model (ARM). A convenience sample of 138 Korean adolescents was recruited for the cross-sectional survey design. Using the collected data, the developed model was verified by structural equation modeling analysis using SPSS and AMOS program. Regarding model fit, χ2 = 151.62 (p < 0.001), GFI = 0.908, AGFI = 0.836, CFI = 0.911, SRMR = 0.060, and RMSEA = 0.10, showing acceptable fit levels. Psychological maltreatment explained 11.5% of perceived social support; psychological maltreatment, perceived social support, and self-control explained 89.9% of resilience; psychological maltreatment and perceived social support explained 53.2% of self-control; and psychological maltreatment, perceived social support, resilience, and self-control explained 39.7% of problem behavior. Psychological maltreatment directly and indirectly influenced perceived social support, self-control, and problem behavior. Psychological maltreatment and self-control were the factors that influence problem behavior of adolescents. The findings suggest that psychological maltreatment must be eradicated to reduce problem behavior of adolescents and enhance their socio-psychological protection factors.
5

Wildfeuer, Rachel, Julia Kobulsky, and José Reyes. "Child Sexual Abuse Recurrence: A Narrative Review." CommonHealth 2, no. 2 (September 28, 2021): 67–77. http://dx.doi.org/10.15367/ch.v2i2.486.

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Child sexual abuse recurrence can have a detrimental and devastating effect on victims. Less is known, however, about the risk and protective factors associated with child sexual abuse recurrence. In order to better understand these risk and protective factors, a narrative review was conducted of the current literature. Academic databases, cited references, and reference lists were searched for peer-reviewed research that focused on sexual abuse recurrence prior to age 18 years. The risk and protective factors identified in the literature were organized into four a priori categories based on an ecological systems framework: child, characteristics of the maltreatment, family, and community/social systems. Examples of risk factors at each level were child mental health concerns (child), the perpetrator being the mother’s significant other (characteristics of the maltreatment), parental history of sexual abuse (family), and active or prior child welfare involvement (community/social systems). Only two protective factors were identified, both regarding the family: family social support and a parent believing the child’s report of the initial victimization. There were mixed or inconclusive findings for several factors. Overall, the review indicates that tertiary prevention, including child-, caregiver-, and perpetrator-focused strategies, should be employed to mitigate the risk factors and enhance the protective factors for child sexual abuse recurrence. Further research is needed to address protective factors and community/social systems factors and could, building on this narrative review, involve a systematic review of the child sexual abuse recurrence literature.
6

Aazami, Aida, Rebecca Valek, Andrea N. Ponce, and Hossein Zare. "Risk and Protective Factors and Interventions for Reducing Juvenile Delinquency: A Systematic Review." Social Sciences 12, no. 9 (August 25, 2023): 474. http://dx.doi.org/10.3390/socsci12090474.

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Juvenile delinquency is a pressing problem in the United States; the literature emphasizes the importance of early interventions and the role of the family in preventing juvenile delinquency. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, PudMed, and Scopus, we included 28 peer-reviewed articles in English between January 2012 and October 2022. We evaluated the existing literature regarding the risk factors, protective factors, and interventions related to juvenile delinquency. We searched articles that discussed reducing juvenile delinquency and recidivism in the U.S. and coded them into four overarching themes: ‘family conflict and dysfunction’, ‘neglect and maltreatment’, ‘individual and family mitigating factors’, and ‘family- and community-based interventions. We found that family conflict and dysfunction and neglect and maltreatment were two primary predictors of juvenile delinquency. Notably, higher academic achievement and strong and positive parental relationships were factors that protected against delinquency amongst at-risk youth. Interventions that yielded optimal efficacy in curbing recidivism included family-based interventions, specifically family therapy, and community-based interventions. Considering multi-dimensional factors that affect delinquent behaviors, interventions should consider the influence of family, peers, neighborhood, schools, and the larger community.
7

Morrow, Anne S., Miguel T. Villodas, and Moira K. Cunius. "Prospective Risk and Protective Factors for Juvenile Arrest Among Youth At Risk for Maltreatment." Child Maltreatment 24, no. 3 (February 24, 2019): 286–98. http://dx.doi.org/10.1177/1077559519828819.

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This study aimed to prospectively identify ecological risk factors for juvenile arrest in a sample of youth at risk for maltreatment. Chi-Squared Automatic Interaction Detector analysis was performed with data from 592 youth from the Longitudinal Studies of Child Abuse and Neglect to identify the optimal combination of age 14 predictors of past-year arrest at age 16. Results extended previous research, which has identified being male, having more conduct disorder symptoms, suspension from school, perceived school importance, witnessing family violence, and having a jailed family member as key risk and protective factors for arrest by identifying important interactions among these risk factors. These interactions differentiate youth at the greatest risk of arrest, which, in this sample, were males with greater than two symptoms of conduct disorder who witnessed family violence. These findings suggest that longitudinal and multi-informant data could inform the refinement of actuarial risk assessments for juvenile arrest.
8

Dixon, Louise, Kevin Browne, and Catherine Hamilton-Giachritsis. "Patterns of Risk and Protective Factors in the Intergenerational Cycle of Maltreatment." Journal of Family Violence 24, no. 2 (November 24, 2008): 111–22. http://dx.doi.org/10.1007/s10896-008-9215-2.

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9

Folger, Susan F., and Margaret O’Dougherty Wright. "Altering Risk Following Child Maltreatment: Family and Friend Support as Protective Factors." Journal of Family Violence 28, no. 4 (March 27, 2013): 325–37. http://dx.doi.org/10.1007/s10896-013-9510-4.

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10

Eirich, Rachel, Nicole Racine, Daniel Garfinkel, Gina Dimitropoulos, and Sheri Madigan. "Risk and Protective Factors for Treatment Dropout in a Child Maltreatment Population." Adversity and Resilience Science 1, no. 3 (August 4, 2020): 165–77. http://dx.doi.org/10.1007/s42844-020-00011-9.

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Дисертації з теми "Risk and protective factors, maltreatment":

1

Seltmann, Larissa Atkins. "Later Parenting in Mothers with a History of Childhood Sexual Abuse: An Exploration of Possible Risk and Protective Factors." Miami University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=miami1311371008.

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2

Torres, Guadalupe Citlalli, and Victoria Vanesa Mariscal. "SOCIAL WORKERS PERSPECTIVES OF THE PROTECTIVE AND RISK FACTORS THAT AFFECT YOUTH IN THE JUVENILE JUSTICE SYSTEM AND CHILD WELFARE SYSTEM." CSUSB ScholarWorks, 2016. https://scholarworks.lib.csusb.edu/etd/324.

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Youth who have experienced maltreatment and the dysfunction of multiple placements are at risk of engaging in delinquent behaviors. Studies from various professionals found specific risk and protective factors that affect youth from being involved in the juvenile justice system. The current study adds significantly literature by identifying the risk and protective factors that affect foster youth in the child welfare and juvenile justice system based on social workers perspectives. The results indicate almost 93% of the participants agreed that multiple placements, 74% agreed that physical abuse, 61% agreed that group homes, and 67% agreed that sexual abuse serve as risk factors for foster youth. Foster youth who have encountered risks factors such as psychical abuse, sexual abuse, severe general neglect, mental health issues, multiple placements, group home placements, substance abuse, and negative support systems are at risk of being involved with the juvenile justice system. In addition, approximately 99% of the participants agreed that a mentor, 98% agreed that after school activities, 91% agreed that early parent bonding, 90% agreed that monitoring youths behaviors, and 73% agreed that contact with birth parents serves as protective factors that prevent youth from being involved from the juvenile justice system. The results identify factors such as early parent child bonding, school activities, contact with birth family, parents or caregivers monitoring their behavior, a mentor or role model, school involvement, and involvement with religious and spiritual activities serve as protective factors in preventing youth involvement in the juvenile justice system.
3

Danner, Touati Camille. "facteurs de risque et de protection au cours du placement : étude du devenir à l’âge adulte des enfants placés." Electronic Thesis or Diss., Paris 8, 2021. http://www.theses.fr/2021PA080102.

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La maltraitance durant l’enfance est un facteur de vulnérabilité au développement d’un attachement insécure et à son tour, pour la santé mentale et le risque suicidaire (RS). Parmi les victimes de maltraitance, les enfants placés constituent une population particulièrement à risque. L’objectif du placement est de faire cesser la maltraitance et d’apporter aux enfants la sécurité nécessaire à leur développement Pour cela, les enfants peuvent être placés selon différentes modalités. Des recherches suggèrent que des facteurs liés au placement peuvent influencer le devenir concernant la santé mentale et le RS des enfants placés. Les objectifs de notre première étude étaient d'examiner (1) l’effet direct des différentes modalités de placement (i.e : âge de placement, nombre de placements, rupture du placement, durée de placement, contact avec les parents biologiques, contact avec la fratrie, placement avec ou sans fratrie) sur le RS et (2) déterminer si ces modalités de placement modèrent le lien entre la maltraitance et le RS. Dans une seconde étude, nos objectifs étaient d'examiner si (1) l'attachement aux parents biologiques médiatise l'association entre la maltraitance et le RS et (2) l'attachement à une figure d'accueil modère l'effet de l'attachement aux parents biologiques sur le RS.Notre échantillon était composé de 77 adultes (52 femmes ; 25 hommes ; âge moyen : 26,6 ans) placés pendant l'enfance. Ils ont répondu au Childhood Trauma Questionnaire et au Mini International Neuropsychiatric Interview pour le RS. L’Attachment Multiple Model Interview a également été administré pour évaluer l'attachement à chacun des parents biologiques et à la figure d'accueil. Les dossiers des participants ont été utilisés pour déterminer les modalités de placement et la maltraitance.Les résultats ont montré : (1) que certains facteurs liés au placement pouvaient constituer des facteurs de risque (i.e : nombre et ruptures de placements, âge tardif de placement, contact avec le parents biologiques) et de protection (i.e : contact avec la fratrie, placement en famille d’accueil) au RS ; (2) un effet modérateur des facteurs de risque sur le RS ; (3) que l'attachement (sécurité et désorganisation) à la mère biologique médiatisait le lien entre la maltraitance et le RS ; (4) que l'attachement à la figure d'accueil modérait le lien entre l'attachement à la mère biologique et le RS. Nos résultats soulignent d’une part l'importance :- de limiter les facteurs de risque au cours du placement, - et d’autre part des interventions visant à soutenir l'établissement d'une relation d'attachement sécurisante entre les enfants placés et leurs parents d'accueil afin de diminuer le RS chez les personnes placées suite à des maltraitances
Childhood abuse is a vulnerability factor with regard to insecure attachment and, in turn, mental health and suicidal risk (SR). Among victims of abuse, children in out-of-home care are particularly at risk. Out-of-family placement is aimed at interrupting child exposure to further abuse and at providing the security needed for proper development. To this end, different out-of-home care arrangements are available. Research suggests that placement-related factors may impact children’s mental health outcomes and suicidal risk. The first study was aimed at examining (1) the direct effects of different placement characteristics (i.e. age at first placement, number of placements, placement disruptions, total time in care, contact with biological parents, contact with siblings, placement with siblings) on SR and (2) whether these characteristics moderate the link between maltreatment and SR. In a second study we examined whether (1) attachment to the biological parents mediates the association between abuse and SR and (2) attachment to a foster parent (whether from a foster home or an institution) moderates the effect of attachment to the biological parents on SR.The sample consisted of 77 adults (52 women; 25 men; mean age: 26.6 years) who received out-of-home care during childhood. Participants completed the Childhood Trauma Questionnaire and the Mini International Neuropsychiatric Interview (for SR). The Attachment Multiple Model Interview was also administered to assess attachment to each biological parent and to the foster parent. Participants’ records were examined to determine placement characteristics and maltreatment.The results indicated (1) a significant role of risk (age at first placement, number of placements, placement disruptions, contact with biological parents) and protective factors (contact with siblings, foster home placement) with regard to SR; (2) a moderating effect of the risk factors on the link between maltreatment and SR; (3) that attachment (security and disorganization) to the biological mother mediates the link between abuse and SR and (4) that attachment to the foster parent moderates the link between attachment to the biological mother and SR.These findings point to the importance of interventions aimed at limiting risk factors during placement and of interventions aimed at promoting the establishment of a secure attachment relationship between children in care and their foster parents to reduce SR
4

Pino, Lilia Diaz. "Risk Factors and Suspected Child Maltreatment." Scholarly Repository, 2010. http://scholarlyrepository.miami.edu/oa_dissertations/492.

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Maltreatment affected an estimated 794,000 children in the 50 States, the District of Columbia, and Puerto Rico in 2007 (United States Department of Health and Human Services [USDHHS], 2009). The purpose of this study was to examine the risk factors of young maternal age, parents' marital status, multiple birth, preterm birth, birth defects/disability, low economic status, and parental substance abuse related to suspected maltreatment of children 3 years of age or younger from the prospective of pediatric nurse practitioners (PNPs). A cross-sectional survey design, using the Tailored Design Method, was used in this study. A convenience sample consisting of the National Association of Pediatric Nurse Practitioners (NAPNAP) email registry was used for this study with a response rate of 11%. The respondents represented all regions of the United States. Seventy-nine percent of the PNP's (n=363) who completed the survey had suspected child abuse or neglect within the last year in a child three years of age or younger compared to 21% of PNPs (n=96) who did not suspect child maltreatment within the past year. The prevalence of suspected child maltreatment in the study population was 2.35%. According to the model examining child risk factors and abuse, the log of the odds of a child being abused was negatively related to preterm birth (p = .036) and birth defects/disability (p = .001). Multiple birth was positively related but not significant (p = .359). There were no statistically significant child risk factors found in the logistical regression for neglect (preterm birth, p = .180; multiple births, p = .938; birth defects/disabilities, p = .234). When examining the abuse and neglect groups together, the log of the odds of a child being abused and neglected was negatively related to birth defects/disabilities (p = .030). Preterm birth (p = .364) and multiple birth (p = .298) were positively related to the abuse and neglect group but were not significant. According to the model examining parental risk factors and abuse, the log of the odds of a child being abused due to a parent characteristic was negatively related to low economic status, with the proxy being WIC eligibility (p = .001) and a history of substance abuse (p = .031). The regression for abuse indicated a positive, yet insignificant, relationship with young maternal age (p = .129) and single marital status (p = .816). The logistic regression for neglect indicated a positive significant relationship with a substance abuse history (p = .012). The regression for neglect indicated positive but insignificant relationships for young maternal age (p = .693), marital status (p = .343), and WIC eligibility (p = .106). There were no statistically significant parental risk factors found in the logistical regression for abuse and neglect together (young maternal age, p = .263; marital status, p = .523; WIC eligibility, p = .131; substance abuse, p = .985). Findings indicated that child maltreatment is suspected by PNPs in primary care settings, and that PNPs recognize signs and symptoms of abuse and neglect.
5

Freysteinsdóttir, Freydís Jóna. "Risk factors for repeated child maltreatment." Diss., University of Iowa, 2004. https://ir.uiowa.edu/etd/119.

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The purpose of this study was to identify risk factors for repeated child maltreatment in Iceland. Only cases that had never been reported to child protection services before were included in this study (N=77 total). Each case was followed for 18 months. In all cases the first reported incident was neglect. In the study, a group of cases that had only been reported once (single incident) was compared with another group of cases that had been reported two or more times (repeated incidents). Risk factors were identified and compared on different levels according to an ecological model: 1) Demographics, 2) Parental figure problems, 3) Children's characteristics, 4) Family problems, 5) Social support. In addition, the two groups were compared on parental non-cooperation and services received. In a logistic regression model, the groups differed significantly on the following factors; the mother figures in the repeated incidents group had lower education level and the mothers in that group had more personal problems than the mother figures in the repeated incidents group. In addition, the repeated incidents group experienced more family dynamic problems than the single incident group.
6

Hickey, Mary Beth, and Karen Eva Smithson. "Risk factors associated with recurrent child maltreatment." CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2900.

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The purpose of this study was to identify factors that contribute to the recurrence of child maltreatment within a variety of families. The following discussion addresses the safety and security of children, child protective services, cultural sensitivity, and perception of poverty.
7

Thompson, Olivia M. "Risk and protective factors for Barrett's esophagus /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/6605.

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8

Neil, Clare. "Assessment of protective factors for violence risk." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/21007.

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There is increasing interest in protective factors for violence risk and it has been proposed that consideration of protective factors in addition to risk factors may lead to more balanced and accurate violence risk assessments. Part 1: A systematic review of the literature was conducted to explore the predictive and incremental validity of protective factors assessed using structured professional judgment (SPJ) violence risk assessment tools. Eighteen studies were identified which reported the predictive validity of protective factors for violent behaviour in adolescent and adult males using five different SPJ risk assessment tools. Overall, most studies found that protective factors were associated with the absence of violence. The evidence to support the incremental validity of protective factors (in addition to risk factors) was however less robust and most studies were identified as having a risk of bias which impacted on the potential accuracy and generalisability of the findings. Part 2: Using a pseudo-prospective design, the predictive and incremental validity of protective factors was explored using the Structured Assessment of Protective Factors (SAPROF) and Historical Clinical Risk Management-20 (HCR-20V3) guidelines in a sample of 75 male patients in a high secure forensic mental health inpatient setting. The SAPROF was associated with the absence of different types of violence within the hospital setting (with AUC values for the total SAPROF score ranging from .69 to .74). The SAPROF did not appear to significantly add to the predictive validity of the dynamic risk factors in the HCR-20V3. The Integrative Final Risk Judgment however demonstrated strong predictive validity (with AUC values for different types of violence ranging from .74 to .81) and incremental validity in the prediction of violent behaviour.
9

Guhman, Kiran Kaur. "Violence within the family : risk factors associated with child maltreatment." Thesis, University of Birmingham, 2014. http://etheses.bham.ac.uk//id/eprint/5320/.

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Identification of risk factors for child maltreatment is paramount to child protection. An understanding of these factors is an important step, with implications for the design of interventions for vulnerable families. The thesis is divided into five chapters, guiding the reader through an ecological understanding of individual, familial and societal factors related to perpetration of child maltreatment. An overview of literature and thesis aims are detailed in the introductory chapter. Chapter two presents a systematic literature review of child maltreatment and intimate partner violence (IPV); the results of which highlight evidence of co-occurrence. The review recognises associated risk variables, however methodological limitations point to a gap in the literature. Chapter three focuses on parental intellectual developmental disorder (IDD). An ecological perspective is taken, examining differences in risk factors for child maltreatment between parents with and without IDD. Results highlight differences between groups, indicating that parents with and without IDD may warrant different clinical attention and support. Chapter four is focused on parental stress. This chapter consists of a critique of the Parenting Stress Index (PSI), examining its applicability, taking into consideration reliability and validity, as well as its limitations. In the final chapter, the implications of the thesis are discussed.
10

Smith, Dana. "Neurocognitive risk and protective factors in addictive disorders." Thesis, University of Cambridge, 2014. https://www.repository.cam.ac.uk/handle/1810/245142.

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Cognitive impairments and changes in the structure and function of related brain regions, namely the prefrontal cortex and striatum, have long been implicated in drug addiction. However, it is unknown whether these abnormalities predate substance abuse, potentially serving as risk factors for dependence, or if they are the consequence of protracted use. To address this question, endophenotype research using stimulant-dependent individuals’ biological siblings has been used to investigate traits implicated in the pathology of addiction. Impairments present in both groups suggest an underlying risk-state for dependence, while additional abnormalities present only in stimulant-dependent individuals reflect potential effects of the drugs themselves. Contrastingly, there are also individuals who use stimulant drugs in a controlled manner without developing dependence. These ‘recreational users’ may lack the underlying traits that comprise a greater risk for dependence, or they might maintain additional protective factors against the development of addiction. Experiments in the first half of this dissertation used functional magnetic resonance imaging to investigate neurocognitive similarities and differences between dependent stimulant users, their non-dependent siblings, recreational users of cocaine, and unrelated healthy control volunteers. In Chapter 2, performance on a colour-word Stroop task was impaired in both stimulant-dependent individuals and their siblings, suggesting an endophenotype of cognitive inefficiency. However, neural activity significantly differed between the groups, indicating additional changes specific to the use of stimulant drugs. In Chapter 3, dependent users showed significant attentional bias to salient stimuli on a cocaine-word Stroop task, with a concurrent increase in prefrontal activation. Conversely, recreational users showed resilience in the face of cocaine cues and a decrease in arousal. Finally, Chapter 4 explored differences in reward sensitivity to both generic and drug-specific reinforcers, comparing the effects of personal and family history of stimulant exposure on a monetary incentive delay task. It is also under debate whether the neurocognitive differences seen in stimulant-dependent individuals are unique to substance abuse, or if parallel changes in behaviour and neurobiology are present in similar addiction-spectrum disorders, such as binge eating leading to obesity. In Chapter 5, stimulant-dependent and obese individuals with binge-eating behaviours showed differences in their substance-specific and general reward responsivity on a novel reward-valuation task. However, in Chapter 6 a similar decline in orbitofrontal cortex grey matter volume in relation to both years of stimulant use and body mass index was identified, implicating an overlap in this area between both conditions. These findings are integrated in Chapter 7, discussing the neurocognitive risk and protective factors that underlie an individual’s vulnerability for addiction, not only to stimulant drugs, but also potentially for other addictive behaviours.

Книги з теми "Risk and protective factors, maltreatment":

1

Oregon. Office of Alcohol and Drug Abuse Programs., ed. Risk/protective factors, county profile. [Salem, Or: Office of Alcohol and Drug Abuse Programs, 1995.

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2

Häfner, Heinz, ed. Risk and Protective Factors in Schizophrenia. Heidelberg: Steinkopff, 2002. http://dx.doi.org/10.1007/978-3-642-57516-7.

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3

A, Wasserman Gail, and United States. Office of Juvenile Justice and Delinquency Prevention., eds. Risk and protective factors of child delinquency. [Washington, DC]: U.S. Dept. of Justice, Office of Justice Programs, Office of Juvenile Justice and Delinquency Prevention, 2003.

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4

A, Wasserman Gail, and United States. Office of Juvenile Justice and Delinquency Prevention, eds. Risk and protective factors of child delinquency. [Washington, DC]: U.S. Dept. of Justice, Office of Justice Programs, Office of Juvenile Justice and Delinquency Prevention, 2003.

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5

E, Rolf Jon, and Garmezy Norman, eds. Risk and protective factors in the development of psychopathology. Cambridge: Cambridge University Press, 1990.

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6

Freysteinsdóttir, Freydís Jóna. Risk factors for repeated child maltreatment in Iceland: An ecological approach. Reykjavík: University of Iceland Press, 2005.

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Sprott, Jane B. Early offending: Understanding the risk and protective factors of delinquency. [Hull, Quebec]: Applied Research Branch, Human Resources Development Canada, 2000.

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Klee, Hilary. Drug using parents and their children: Risk and protective factors. Manchester: SRHSA, 1998.

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Query, Sharon L. Promoting literacy in at-risk youth: Protective factors and academic achievements. New York: Garland Pub., 1998.

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George, Sheena. The Alberta youth experience survey 2002: An overview of risk and protective factors. [Edmonton]: Alberta Alcohol and Drug Abuse Commission, 2003.

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Частини книг з теми "Risk and protective factors, maltreatment":

1

Wolodiger, Emily D., Jonathan S. Goldner, Ashton M. Lofgreen, William R. Saltzman, Patricia E. Lester, and Niranjan S. Karnik. "Child Maltreatment in Military Families: Risk and Protective Factors, and Family-Systems Interventions." In Handbook of Interpersonal Violence Across the Lifespan, 1–26. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-62122-7_263-1.

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Wolodiger, Emily D., Jonathan S. Goldner, Ashton M. Lofgreen, William R. Saltzman, Patricia E. Lester, and Niranjan S. Karnik. "Child Maltreatment in Military Families: Risk and Protective Factors, and Family-Systems Interventions." In Handbook of Interpersonal Violence and Abuse Across the Lifespan, 1487–511. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-89999-2_263.

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Bywater, Tracey. "Effectiveness of Cognitive and Behavioural Group-Based Parenting Programmes to Enhance Child Protective Factors and Reduce Risk Factors for Maltreatment." In The Wiley Handbook of What Works in Child Maltreatment, 328–48. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118976111.ch20.

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De Vito, Katherine. "Risk Factors and Protective Factors." In Gang Prevention in Schools, 97–114. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82914-8_8.

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McCoy, Monica L., and Stefanie M. Keen. "Risk Factors for Child Maltreatment." In Child Abuse and Neglect, 21–39. 3rd ed. New York: Routledge, 2022. http://dx.doi.org/10.4324/9780429356353-3.

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Bell, Lorraine. "Risk and protective factors." In Helping People Overcome Suicidal Thoughts, Urges and Behaviour, 29–41. Abingdon, Oxon; New York, NY: Routledge, 2021.: Routledge, 2021. http://dx.doi.org/10.4324/9781003098805-9.

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Bandoli, Gretchen, and Christina D. Chambers. "Protective and Risk Factors." In Fetal Alcohol Spectrum Disorders, 17–31. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32386-7_2.

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de Vries Robbé, Michiel. "Protective factors for violence risk." In Violent and Sexual Offenders, 166–81. Second Edition. | New York : Routledge, 2019. | Revised edition of Violent and sexual offenders, 2009.: Routledge, 2018. http://dx.doi.org/10.4324/9781315310411-10.

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Hutchinson, Gerard. "Protective Factors in Suicidal Behavior." In Suicide Risk Assessment and Prevention, 1–8. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-41319-4_10-1.

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Hutchinson, Gerard. "Protective Factors in Suicidal Behavior." In Suicide Risk Assessment and Prevention, 77–84. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-42003-1_10.

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Тези доповідей конференцій з теми "Risk and protective factors, maltreatment":

1

Pauk, N., A. Kubik, P. Zatloukal, L. Tomasek, and J. Kara. "Protective Factors on Lung Cancer Risk among Czech Women." In American Thoracic Society 2009 International Conference, May 15-20, 2009 • San Diego, California. American Thoracic Society, 2009. http://dx.doi.org/10.1164/ajrccm-conference.2009.179.1_meetingabstracts.a1092.

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"VOCATIONAL SCHOOL DROPOUTS’ PERSPECTIVE OF DROPOUT RISK AND PROTECTIVE FACTORS." In International Psychological Applications Conference and Trends. inScience Press, 2023. http://dx.doi.org/10.36315/2023inpact128.

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Lackova, Lucia, Antonia Ramírez García, and Tereza Kimplova. "RISK AND PROTECTIVE FACTORS IN THE DEVELOPMENT OF PERSONALITY RESILIENCE." In 12th annual International Conference of Education, Research and Innovation. IATED, 2019. http://dx.doi.org/10.21125/iceri.2019.2273.

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Johnson, Julie, and Samantha Doonan. "Risk and Protective Factors Associated with Cannabis Use in Massachusetts Youth." In 2020 Virtual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2021. http://dx.doi.org/10.26828/cannabis.2021.01.000.2.

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Cannabis policies are continuously evolving, over half of U.S. youth now live in a state with a form of legalized cannabis. Monitoring risk and protective factors is critical to ensure evidence-based youth prevention in this post cannabis-prohibition era. Massachusetts has enacted and implemented three forms of legalization: (1) Decriminalization (2008), (2) medical cannabis (2012), and (3) adult-use cannabis (2016). This study used state Youth Risk Behavior Survey (YRBS) data of participants in grades 9-12 from 2007-2017 (N=17,691). Logistical regression models were run to assess effects of varying cannabis policy and risk or protective behaviors on cannabis use outcomes: (1) Lifetime use; (2) Past 30-day; and (3) Past 30-day heavy use. The enactment of cannabis policies was not associated with greater odds of youth reporting Lifetime and Past 30-day cannabis use behaviors. Any adult-support [heavy use OR=0.43 (95% CI=0.37,0.50), p<.001], better grades [heavy use OR=0.25 (95% CI=0.21,0.29), p<.001], and being heterosexual [heavy use OR=0.42 (95% CI=0.34,0.51), p<.001] were associated with lower odds of all cannabis use outcomes. Multiple risk factors broadly categorized under: risky sexual behaviors, non-heterosexual orientation, weapon carrying/exposure, hopelessness and suicidality behaviors, driving behaviors, and disability were associated with greater odds of cannabis use. Sensitivity analyses showed only one risk behavior was moderate by cannabis policy enactment. Results suggest that cannabis prevention efforts should not occur in a silo, rather evidence-based models for reducing risky behaviors generally may have the largest impact. Building and supporting relationships with trusted adults for youth at higher risk should be emphasized.
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Rebbe, Rebecca. "90 The incidence and risk factors of child maltreatment-related injuries resulting in hospitalizations: a population-based study." In Society for the Advancement of Violence and Injury Research (SAVIR) 2020 conference abstracts. BMJ Publishing Group Ltd, 2020. http://dx.doi.org/10.1136/injuryprev-2020-savir.25.

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Holmberg, Jorunn Jo, Lilly Augustine, Sahil Datta, and Toshie Imada. "Expatriate Adolescents’ Resilience: Risk and Protective Factors in the Third Culture Context." In International Association of Cross Cultural Psychology Congress. International Association for Cross-Cultural Psychology, 2022. http://dx.doi.org/10.4087/hmtk2108.

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Expatriate children and adolescents typically spend several of their formative years moving from country to country, frequently having to adapt to new cultures, making new friends, and fit into new school systems. It has been established in literature that such frequent changes may cause increased and prolonged risk of developing internalizing behavior problems such as depression and anxiety. However, little is still known regarding which protective factors serve as buffer towards the increased risk within the expatriate demographic. This study examined risk and protective factors among a group of expatriates, adolescents, and their parents, originating from 21 countries on five continents. Adolescent resilience was established through measuring risk and protective factors within three domains (i) individual, (ii) family, and (iii) school/community. In particular, the results indicated that adolescents’ sense of coherence, positive family climate, and satisfaction with school and friends, each predicted resilience significantly above other demographic factors. Interestingly, higher number of international moves did not predict adolescents’ resilience. The results imply that a coherent identity, high self-esteem, sense of “Third Cultural” group belonging, paired with a robust family environment, would promote resilience in the expatriate population. This may in turn serve as a buffer towards the negative effects caused by a stressful, transient upbringing.
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Koinis-Mitchell, Daphne, Elizabeth L. McQuaid, Sheryl Kopel, Robert Klein, and Gregory Fritz. "Identifying Risk And Protective Factors Associated With Resilient Outcomes In Urban Children With Asthma." In American Thoracic Society 2010 International Conference, May 14-19, 2010 • New Orleans. American Thoracic Society, 2010. http://dx.doi.org/10.1164/ajrccm-conference.2010.181.1_meetingabstracts.a2249.

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Pérez Huber, Lindsay. "Racial Micro-Affirmations as a Response to Racial Microaggressions: Exploring Risk and Protective Factors." In 2022 AERA Annual Meeting. Washington DC: AERA, 2022. http://dx.doi.org/10.3102/1892297.

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Dong, Beidi, Clair White, and David Weisburd. "184 Shared risk and protective factors for crime and poor health on the street." In Society for the Advancement of Violence and Injury Research (SAVIR) 2020 conference abstracts. BMJ Publishing Group Ltd, 2020. http://dx.doi.org/10.1136/injuryprev-2020-savir.74.

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McMahon, E., P. Corcoran, H. Keeley, M. Clarke, H. Coughlan, D. Wasserman, C. Hoven, V. Carli, M. Sarchiapone, and M. Cannon. "P38 Risk and protective factors for psychotic experiences in adolescence: a population-based study." In Society for Social Medicine and Population Health and International Epidemiology Association European Congress Annual Scientific Meeting 2019, Hosted by the Society for Social Medicine & Population Health and International Epidemiology Association (IEA), School of Public Health, University College Cork, Cork, Ireland, 4–6 September 2019. BMJ Publishing Group Ltd, 2019. http://dx.doi.org/10.1136/jech-2019-ssmabstracts.189.

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Звіти організацій з теми "Risk and protective factors, maltreatment":

1

Smith, Amy M., and Richard E. Heyman. Family Maltreatment, Substance Problems, and Suicidality: Prevalence Surveillance and Ecological Risk/Protective Factors Models. Fort Belvoir, VA: Defense Technical Information Center, April 2008. http://dx.doi.org/10.21236/ada494430.

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2

Walsh, Wendy, and Marybeth Mattingly. Understanding child abuse in rural and urban America: risk factors and maltreatment substantiation. University of New Hampshire Libraries, 2012. http://dx.doi.org/10.34051/p/2020.170.

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Nolan, Anne, and Emer Smyth. Risk and protective factors for mental health and wellbeing in childhood and adolescence. ESRI, December 2021. http://dx.doi.org/10.26504/rs120.

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New ESRI research, based on Growing Up in Ireland, shows that strong relationships with parents, peers and teachers enhance child and adolescent wellbeing New ESRI research funded by HSE Health and Wellbeing, examines the risk and protective factors for mental health and wellbeing of children and young people. Using data from the Growing Up in Ireland ’08 Cohort at 9 years of age and the ’98 Cohort at 17 years of age, the research examined both positive (life satisfaction) and negative (socio-emotional difficulties) aspects of mental health and wellbeing. Socio-emotional difficulties refer to difficulties of an emotional nature (e.g., feeling unhappy, downhearted or tearful) or with peers (e.g., picked on or bullied).
4

Yang, Pengyu, Hua Zhang, and Na Zhang. Risk factors of personal protective equipment-related pressure injury in medicalstaff:a Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, January 2022. http://dx.doi.org/10.37766/inplasy2022.1.0049.

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Smyth, Emer, and Merike Darmody. Risk and protective factors in adolescent behaviour: The role of family, school and neighbourhood characteristics in (mis)behaviour among young people. ESRI, May 2021. http://dx.doi.org/10.26504/rs119.

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Nygren, Peggy. Exploring the Effects of Multi-Level Protective and Risk Factors on Child and Parenting Outcomes in Families Participating in Healthy Start/Healthy Families Oregon (HS/HFO). Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1507.

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Cavallo, Eduardo A., and Eduardo Fernández-Arias. The Risk of External Financial Crisis. Inter-American Development Bank, December 2022. http://dx.doi.org/10.18235/0004579.

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This paper explores the empirical determinants of external crises on a world panel dataset of 62 countries over the fifty-year period 1970-2019 and estimates their risk trade-offs with the aim of informing macrofinancial prudential policies. The determinants include countries external balance sheets, macroeconomic imbalances, and structural and global factors. It finds that information on the composition of gross positions in countries external financial portfolios is required to gauge the risk of external crisis: debt liabilities are the riskiest component, FDI liabilities are half as risky, and FDI assets are the most protective. Macroeconomic imbalances increase risk but are usually not the key drivers of crises. Adverse global shocks significantly leverage domestic risks. International reserves are powerful risk mitigants that provide high insurance value. The evidence shows that advanced economies are structurally more resilient to withstand exposure to weak external portfolios, macroeconomic imbalances, and global shocks. For the average country the risk of external crisis is on a declining trend mainly driven by improvements in the composition of external portfolio assets magnified by increasing financial integration as well as rising international reserves.
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Ramírez Rodríguez, Santiago. Violence and Crime in Nicaragua: A Country Profile. Inter-American Development Bank, June 2013. http://dx.doi.org/10.18235/0006969.

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The Office of Evaluation and Oversight (OVE) conducted an evaluation of a cluster of citizen security projects. The main objective was to identify what factors explained the implementation performance of the projects, and what lessons could be learned from these experiences. This Background Paper presents the results of one of these diagnostics for Nicaragua. Following the introduction, the country profile begins with an overview of the Nicaraguan context in terms of geography, demographics, economy, as well as recent political history (section II). It then builds a diagnostic that covers different forms of violence and crime (section III) as well as main risk and protective factors (section IV), based on available statistics and specialized international and local literature. In section V, the paper reviews the strategy adopted by the Government throughout the last decade to respond to main forms of violence and crime, it describes the budget allocation to citizen security over recent years. Finally, section VI presents the IDB citizen security project part of the comparative evaluation, and summarizes various exercises that OVE undertook to provide additional background information and analysis.
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Ala, Sílvia, Francisco Ramos, and Inês Relva. Psychological impact of the SARS-CoV-2 pandemic on the mental health of university students - PRISMA Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, January 2023. http://dx.doi.org/10.37766/inplasy2023.1.0006.

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Review question / Objective: Our goal will be to assess the impact on mental health of university students by comparing data from studies during and after contingency measures imposed to contain the spread of the SARS-CoV-2 coronavirus and to identify potential risk and protective factors for mental health. The results will be important for designing appropriate psychological interventions and mental health resources needed by university students. The research question was constructed following the PECO strategy. P=Population includes university students. E= exposure comprises contingency measures (confinement/social isolation/quarantine). C= comparison of studies conducted during and after the contingency measures (confinement/social isolation/quarantine) imposed by the pandemic of COVID-19. O= outcome immediate effect or consequences such as psychological impacts (depression, stress, anxiety, well-being, fear, burnout). Thus, the main question to be asked is: "What is the psychological impact caused by the Sars-Cov-2 pandemic on students' mental health during and after the contingency/restriction measures (confinement/social isolation/quarantine)?"
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Kolencik, Marian. A critical evaluation of the risk indicators of criminal conduct involving CBRN and explosive materials - Behavioural and observational analysis in crime detection and investigation. ISEM Institute, n.p.o., October 2023. http://dx.doi.org/10.52824/vzrb5079.

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Terrorist attacks using explosives and CBRN (Chemical, Biological, Radiological and Nuclear) materials have been present throughout history. While the frequency of CBRN terrorist attacks is relatively low compared to those with explosives and other types of weapons, it is crucial to treat the efforts of both terrorist organizations and individuals with appropriate gravity in order to avert catastrophic consequences. Identifying warning signs that indicate criminal behaviour is crucial for preventing planned crimes or terrorist attacks, and there is a need for more precise coverage of potential risk indicators related to CBRN and explosive crimes. This research aimed at examining and scrutinizing possible warning signs associated with planning and conducting terrorist attacks using CBRN and explosive materials. The research was implemented in three phases. First, comprise the systematic literature review. In the second phase, the case studies and CCTV records from past cases from Europe, USA, Australia and Asia were analysed and the aim was to create a list of risk indicators and categories for future reference by developing a methodological tool. The last phase represented a survey in which the practitioners from European Law enforcement and Intelligence Agencies critically assessed the list of risk indicators and their categories created based on the previous two steps of the research. The last goal was to gain the agreement and endorsement of law enforcement officials from different European nations regarding the validity and importance of recognized risk indicators and their categories, as well as their ranking for use in operational tasks, investigations, and training. The majority of the respondents found the identified categories and risk indicators as reliable and relevant for their operational activities and investigations. For the second research question, the survey results prioritized categories of risk indicators that are most suitable for the detection tactics of investigators and intelligence officers. The third research question examined the ease of observing identified risk indicators, with the category of technological detection/air sampling alarm risk indicators ranking as the easiest to detect. Finally, the survey found that the identified risk indicators are useful for training activities of security entities. Several final comments and recommendations from participants were also discussed, emphasizing the importance of considering multiple factors when identifying risk indicators and the value of the comprehensive list of identified risk indicators. The publication also examines some terrorist theories, the advantages, limitations, and the ongoing debate surrounding the use of profiling in protective security.

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