Parental criminality, family economic adversity, and sexual abuse were assessed with short question series developed for the baseline NCS.10 (link) Parental criminality was assessed with questions about whether a parent either engaged in criminal activities like burglary or selling stolen property or was ever arrested for criminal activity. Economic adversity was assessed with questions about whether the family received welfare or other government assistance and whether the family often lacked enough money to pay for basic necessities of living. Sexual abuse was assessed with questions about repeated fondling, attempted rape, or rape. Parental mental illness (major depression, generalized anxiety disorder, panic disorder, antisocial personality disorder) and substance abuse were assessed with the Family History Research Diagnostic Criteria (FHRDC) Interview27 and its extensions.28 (link) Family violence and physical abuse of the respondent by parents were assessed with a modified version of the Conflict Tactics Scale.29 Neglect was assessed with questions used in studies of child welfare about frequency of not having adequate food, clothing, or medical care, having inadequate supervision, and having to do age-inappropriate chores.30 Life-threatening physical illness, finally, was assessed with a standard chronic conditions checklist.31 (link)
Sexual Abuse
This includes incest, rape, and other forms of non-consensual sexual contact.
Sexual abuse can have long-lasting physical and psychological impacts on victims.
Researchers utilize advanced AI tools, such as PubCompare.ai, to optimize the discovery and analysis of effective protocols to combat this critical issue and prevent future instances of sexual abuse.
Most cited protocols related to «Sexual Abuse»
The full training of the interviewers took two months. The project objectives and the rationale behind the structure of the survey instrument as well as that of each question in the questionnaire were discussed in detail. Great attention was also paid to issues such as initial contacts, maintaining a professional attitude while in the field, avoiding influencing the respondent, and reducing interviewer and courtesy biases. The importance of collecting information by means of standardized questions so that the same question was asked to all respondents is stressed and questioning and probing skills were developed. Supervisors were instructed separately on data collection guidelines, their roles and their responsibility to ensure data quality. Keeping in mind the sensitive nature of some of the questions regarding violence and trauma and the fact that the team members were from the study population and probably had experiences similar to the respondents, a workshop on sexual and gender-based-violence was conducted by a consultant to the UNICEF office in Kampala, before the survey. The aim of this workshop was to increase awareness and sensitivity of the team towards respondents and their experiences. Another consultant to the project reviewed the team's interviewing skills and the project's data quality control measures just before the start of the survey. Problem areas were identified and remedied.
Data were complete and analyzed for N = 3179 respondents: 2,540 (75 %) of the respondents were women (15–50 years of age) and 831 (25%) were men (20–55 years of age). Details of the sampling, translation and assessment procedures, as well as the socio-demographic characteristics of the populations, have been described elsewhere [15 (link)].
Traumatic events were assessed using a checklist consisting of possible war and non-war related traumatic event types (i.e. witnessing or experiencing injury by a weapon or gun, beatings/torture, harassment by armed personnel, robbery/extortion, imprisonment, poisoning, rape or sexual abuse, beatings, abduction, child marriage, forced prostitution/sexual slavery, forced circumcision, etc.). The checklist was compiled after interviews with key informants (security personnel, doctors, community leaders, women's representatives) and 30 respondents from all three populations about their personal history of stressful events. Following these interviews, the single events obtained in these studies were rated as being potentially traumatic by experts. The following pilot checklist was pre-tested among further 44 Ugandans and Sudanese in areas not selected for the survey and modified according to the suggestions of the respondents. A primary item analysis based on inter-item correlations led to the exclusion of some events that were obviously not directly related to traumatic histories, e.g. the experiencing of witchcraft. Events included 19 experienced events and 12 witnessed events. Respondents were asked for each event type if they had experienced or witnessed such an event ever (i.e., lifetime experience) and if it happened in the past year. PTSD in respondents was assessed using the Posttraumatic Stress Diagnostic Scale (PDS), modified for assessment by trained lay interviewers [16 ]. The PDS is a self-report measure widely-used in industrialized countries as a screening instrument for the diagnosis and severity of PTSD based on DSM-IV Criteria.
Confidentiality was assured and it was explained that researchers were not working for any UN or Ugandan government organization. Informed consent was obtained using a standardized form explaining the potential risks of participation and explaining that no compensation would be provided. Informed consent forms were signed by the respondent and a witness; fingerprints were taken from illiterate respondents. No financial incentives were provided and respondents were informed that no improvements in living conditions were to be expected as a result of participating in the survey. Respondents were provided with referrals to counseling services provided by NGOs where available.
MACE criterion scores for indicating above threshold exposure within each MACE category were established by comparing MACE severity scores to cut scores of other instruments. Criterion scores were designed to be similar to the ACE (comparator) for the six overlapping categories (sexual abuse, physical maltreatment, emotional neglect, physical neglect, emotional abuse, and witnessing interparental violence). The parental and peer verbal abuse category of the MACE was compared to the Verbal Abuse Questionnaire [46 (link)], that provides separate measures of maternal and paternal verbal abuse, as well as of female and male peer verbal abuse. Maternal and paternal verbal abuse score were averaged and a cut score (>40) was used for comparison. Female and male peer verbal abuse scores were combined and a maximum (male or female) score of 30 (significant level of verbal aggression) and 40 (substantial level of verbal aggression) were used as comparison cut scores [25 (link)].
The Abuse and Trauma Questionnaire that we created and used in previous studies [25 (link),26 (link),46 (link)], provided additional data on 766 of the subjects for establishing criterion scores for exposure to parental physical abuse, peer physical bullying, sexual abuse, witnessing interparental violence and witnessing violence to siblings. This instrument assessed exposure to physical abuse by the question: ‘‘Have you ever been physically hurt or attacked by someone such as a parent, another family member or friend (for example have you ever been struck, kicked, bitten, pushed or otherwise physically hurt)?” If so, they were asked to provide information on their relationship to this individual, the number of times they were hurt, age of initiation and termination of these episodes, whether the abuse received, or should have received medical attention, and whether the abuse resulted in permanent injuries or scars. Similarly, sexual abuse was assessed by response to the question: ‘‘Have you ever been forced into doing more sexually than you wanted to do or were too young to understand? (By ‘‘sexually” we mean being forced against your will into contact with the sexual parts of your body or his/her body)”. Witnessing violence was assessed using the question, “Has an adult member of your family ever purposefully attacked another family member (i.e., struck, kicked, bitten, pushed, hit)?” Followup questions identified the individuals involved, number of times observed, ages of initiation and termination and severity.
Most recents protocols related to «Sexual Abuse»
Me mam was a severe alcoholic. I used to get beat up daily. The school didn’t do anything until I was 12-year old, after me nanna died. And basically, I got put with the person who was actually raping me. So I was there for 3 months and the trauma of that, I just couldn’t cope with. So I rebelled at school, and that’s when I got put into […] children’s home. Things started to calm down a little bit there, but I just wanted to be – it sounds stupid – but I wanted to be where my safety net was, where my mam was (Rosie).
Early experiences of abusive family life set future expectations of relationships, where physical violence was normalized and associated with love. Tracy described how unremarkable experiences of violence were, which foreshadowed later relationships:
I was beaten as a child by my father. My mother beat my sister. Never ever hit me. Sides get picked, you get her I get her. And I thought it was how someone showed that they loved you, you know? … I had my nose broken. First my dad. And then boyfriends. There was a competition going on. It becomes a way of life I guess (Tracy).
We obtained the publicly available 2019 to 2021 monthly number of child abuse consultations and estimated the child abuse consultation rates in 47 prefectures from the Ministry of Health, Labour and Welfare in Japan.3 The pandemic binary term was encoded with 0 for 2019 (prepandemic period) and 1 for 2020 to 2021 (pandemic period). We used an interrupted time series method to estimate the association of the pandemic with consultation rates for the first-stage, prefecture-level analysis. Subsequently, the first-stage analysis estimates were pooled using a random-effects meta-analysis model to generate the nationwide association. Parameterization of methods is described in the eMethods in
Participants conducted simulated interviews with randomly selected two avatars out of the 14 available. Before each of the interviews, the participants first read a background scenario (see
After the interview, participants were asked three questions about their conclusions based on the information obtained in the interview: (1) the presence of the abuse (“present” or “absent”), (2) confidence in their assessment on a 6 point scale (“50%: guessing” to “100%: completely sure”), and (3) a description of what, according to them, had happened to the avatar. Unfortunately, the answers to these questions were missing for 27 (64%) participants due to a system error. Therefore, the correctness of conclusions was not included in the statistical analyses.
Between the two interviews, participants received either no intervention or either feedback or modeling as a training intervention. As the feedback intervention, the participants were provided two types of feedback after the first interview: (1) feedback consisting of the outcome of the case and (2) feedback on the questions (two recommended questions and two not recommended questions) asked in the interview. For feedback concerning questions, the AI avatar chose questions randomly from the questions recorded during the interview and then provided automated feedback regarding them. The modeling intervention included (1) reading a series of learning points of good and bad questioning methods and (2) watching a total of four 2.5-min videos of good and bad interviews with both an abused and a non-abused avatar. The contents of the modeling intervention were the same as those in Haginoya et al. (2021) (link). Participants read the background scenarios leading to the alleged cases before watching the modeling videos of each avatar and read the outcomes of the cases after watching the modeling videos.
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More about "Sexual Abuse"
Sexual abuse refers to the involvement of a child or adolescent in sexual activities that they do not fully comprehend, are unable to give informed consent to, or that violate the social taboos of family roles.
This can have long-lasting physical and psychological impacts on victims.
Reserchers use advanced AI tools like PubCompare.ai to optimize the discovery and analysis of effective protocols to combat this critical issue and prevent future instances of sexual abuse.
By utilizing statistical software like SAS 9.4, SPSS 25, Stata/MP 14.0, and SPSS 26, researchers can analyze data and identify patterns to develop more effective prevention and intervention strategies.
These tools enable the optimization of research to find the best protocols from literature, pre-prints, and patents to address this complex problem and protect vulnerable populations.