The largest database of trusted experimental protocols

Abuse, Child

Abuse, Child refers to the physical, sexual, emotional, or neglectful mistreatment of minors.
This encompasses a range of actions that can harm a child's health, development, and well-being.
Reserach in this area aims to identify effective protocols and methodolgies for studying and preventing child abuse, leveraging the latest AI-driven tools to locate the most reproducible and accurate literature.
The goal is to enhance child abuse research and drive progress in this critical field.

Most cited protocols related to «Abuse, Child»

Protocol full text hidden due to copyright restrictions

Open the protocol to access the free full text link

Publication 2009
Abuse, Child Acclimatization Wounds and Injuries

Protocol full text hidden due to copyright restrictions

Open the protocol to access the free full text link

Publication 2009
Abuse, Child Adult Child Depressive Symptoms Drug Abuse Physical Examination Post-Traumatic Stress Disorder Wounds and Injuries

Protocol full text hidden due to copyright restrictions

Open the protocol to access the free full text link

Publication 2010
Abuse, Child Child Emotions Interviewers MEA protocol Parent Reading Frames Youth

Protocol full text hidden due to copyright restrictions

Open the protocol to access the free full text link

Publication 2010
Abuse, Child Addictive Behavior Cognitive Therapy Diagnosis Dialectical Behavior Therapy Mental Health Nurses Primary Care Physicians Psychiatrist Psychologist Reading Frames Student Substance Abuse Worker, Social
Original data were used from five studies in PCHC (this system is open to all children in the Netherlands from birth to the age of 19 years) and from three curriculum innovation studies in primary and secondary schools. Four of these studies examined the national implementation of PCHC guidelines, and the other four focussed on the implementation of health promotion interventions. Table 1 provides a brief description of the eight empirical studies. Different study designs were used. In order to have comparable data, only cross-sectional data were used, meaning that both determinants and the use of the innovation were measured simultaneously. In case determinants and use were measured in both the pre-test and post-test(s), we only used the pre-test measurements.

Description of the eight empirical studies in the meta-analysis

Type of studySettingDesignRespondentsN
Guideline for visual disorders: levels of use [18 ]PCHCCross sectionalDoctors, nurses, doctor's assistanta311
Guideline for congenital heart disorders: levels of use [19 ]PCHCCross sectionalDoctors, nursesa210
Guideline for prevention of child abuse: effect of planned innovation strategy on levels of use [20 ]PCHCPre-test and post-testc; experimental vs. control groupDoctors, nursesb302
Guideline for congenital heart disorders: effect of e-learning vs. traditional learning on levels of use [21 ]PCHCPre-test and post-testc; experimental vs. control groupDoctors, nursesb317
Education programme for prevention of passive smoking in infants: levels of continuation of use [22 (link)]PCHCCross sectionalDoctors, nursesa465
School-wide programme for prevention of bullying: effect of planned innovation strategy on levels of usedPrimary schoolsPre-test and post-testcTeachersb125
Mental health promotion programme: effect of planned innovation strategy on levels of usedPrimary schoolsPre-test and two post-testscTeachersb188
Sex education programme: effect of planned innovation strategy on levels of use [23 (link)]Secondary schoolsPre-test and post-testc; experimental vs. control groupTeachersb59
Total1977

PCHC, Preventive Child Health Care.

aAll PCHC organizations.

bSelected sample of PCHC organizations/schools.

cWe only used pre-test measurements.

dPublication in preparation.

Publication 2014
Abuse, Child Child Child, Preschool Childbirth Congenital Disorders Health Promotion Heart Heart Diseases Infant Nurses Preventive Health Programs Preventive Health Services Programmed Learning Smoking Prevention Test Preparation Wellness Programs

Most recents protocols related to «Abuse, Child»

Questionnaires will be completed through a secure, web-based survey system hosted by the research centre so that participants can complete questionnaires electronically, either at home or during their visit to the research centre. Online questionnaires are sent via a national secure mail platform used by citizens in regular correspondence with public institutions and the health care system.
Measures include several salient domains in the clinical characterisation of the patient, among others, assessments of demographics (e.g., ethnicity, education, and marital status); medical and psychiatric history; depressive symptoms and impact of depression behaviour and day-to-day life; treatment preferences and expectations, life experiences; and a broad range of state and trait psychometrics. Some questionnaires will only be given to patients in subcohorts I-II (Table 2).

Questionaries Additional questionnaires for the subcohort I-II only are in bold

Symptom profile and SeverityCognitive styleUpbringing and life historyFunctioning and quality of life
Inventory of Depressive Symptomatology – self-report (IDS-SR) [34 (link)]Mentalisation Questionnaire (MZQ) [35 (link)]Online Stimulant and Family History Assessment Module (OS-FHAM) [11 (link)]Cognitive Complaints in Bipolar Disorder Rating Assessment (COBRA) [36 (link)]
Dimension of Anger Reactions (DAR-5) [37 (link)]Ruminative Response Scale (RRS) [38 (link)]Child abuse and trauma scale (CATS) [39 (link)]Modified Sheehan Disability Score (mSDS)
Generalised Anxiety Disorder 7-item (GAD-7) [40 (link)]Perth Alexithymia Questionnaire (PAQ) [41 (link)]Parental Bonding Instrument (PBI) [42 (link)]WHO 5 wellbeing index (WHO-5)
Cohen's Perceived Stress Scale (PSS) [43 (link)]Mindful Attention Awareness Scale (MAAS) [44 (link)]Stressful Life Events (SLE) [45 (link)]Changes in Sexual Functioning Questionnaire (CSFQ) [46 (link)]
Brief Symptom Inventory (BSI) [47 (link)]Short form of Metacognitions Questionnaire (MCQ-30) [48 (link)]Questions from the Copenhagen Aging and Midlife Biobank (CAMB) [49 (link)]
Symptom checklist (SCL-10) [50 (link)]Coping Self-Efficacy Scale (CSES) [51 (link)]Revised Sociosexual Orientation Inventory (SOI-R) [52 (link)]
Snaith-Hamilton Pleasure Scale (SHAPS) [53 (link)]
Pittsburgh Sleep Quality Index (PSQI) [54 (link)]
Full text: Click here
Publication 2023
Abuse, Child Alexithymia Anger Anxiety Disorders Attention Awareness Cognition Disorders Depressive Symptoms Disabled Persons Ethnicity Life Experiences Mentalization Metacognition Mindfulness Parent Patients Pleasure Psychometrics Rumination, Digestive Wounds and Injuries
Child abuse was defined as any of the following acts being committed by a caretaker (parent or guardian) on a person younger than 18 years: physical abuse, neglect, sexual abuse, and psychological abuse.3 Details on the reporting of abuse under the Japanese system are given in eMethods in Supplement 1. Hokkaido University deemed this cross-sectional study exempt from ethics review and waived the informed consent requirement because publicly available aggregated and anonymized data were used. We followed the STROBE reporting guideline.
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 Supplement 1. Analyses were performed using R, version 4.2.0 (R Core Team).
Full text: Click here
Publication 2023
Abuse, Child Abuse, Emotional Abuse, Physical Acceptance and Commitment Therapy Dietary Supplements Japanese Legal Guardians Pandemics Parent Sexual Abuse Youth

Protocol full text hidden due to copyright restrictions

Open the protocol to access the free full text link

Publication 2023
Abuse, Child Burnout, Psychological Child Females Group Therapy Households Males Parent Physicians
We used a modified version of the Life Events Checklist for DSM-5 to measure exposure to twelve specific, contextually relevant lifetime PTEs. Events of interest included: seeing people hitting or harming one another in your family as a child, physical assault or abuse as a child, sexual assault or rape as a child, physical assault or abuse as an adult from an intimate partner, physical assault or abuse in adulthood from someone other than an intimate partner, sexual assault or rape in adulthood, seeing someone physically assaulted or abused, seeing someone seriously injured or killed, experiencing a natural disaster, experiencing a serious accident or fire, exposure to war, and losing a child through death. One additional question asked individuals to identify any other traumatizing event experienced during childhood or adulthood. We explored the free response text describing any “other” type of experienced lifetime traumatic events and recategorized these events if they fit more appropriately in a pre-defined category (e.g., one individual who reported death of a child through childbirth had not reported loss of a child to death. This event was recoded to loss of a child to death).
For analytic purposes, similar events were further combined such that seven distinct event types were considered: trauma during childhood, experiencing violence in adulthood, witnessing violence in adulthood, accidents, death of a child, war, and any other PTE. We also created a dichotomous variable to represent individuals who were and were not in the top quarter of number of PTEs reported. Individuals in the top quarter reported 6 or more PTEs.
Full text: Click here
Publication 2023
Abuse, Child Accidents Adult Brassica napus Child Childbirth Menopause Natural Disasters Physical Examination Sexual Assault
This retrospective cohort study was performed at a tertiary academic medical center in a Midwestern US state that legalized recreational cannabis on December 6, 2018. Throughout the study period, the institution had no formal policy regarding prenatal urine drug testing or newborn drug testing, leaving testing decisions to the discretion of clinicians. The state mandates that clinicians place a CPS report of suspected child abuse if a newborn has known or suspected exposure to alcohol and/or a controlled substance as evidenced by a positive newborn drug test or withdrawal symptoms.18 The University of Michigan institutional review board approved this study and waived the requirement for patient consent, per the Common Rule. This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline for cohort studies.19 (link)
Full text: Click here
Publication 2023
Abuse, Child Cannabis Controlled Substance Ethanol Ethics Committees, Research Infant, Newborn Patients Pharmaceutical Preparations Substance Abuse Detection Urine Withdrawal Symptoms

Top products related to «Abuse, Child»

Sourced in United States, Japan, United Kingdom, Germany, Belgium, China
SPSS Statistics version 21 is a statistical software package developed by IBM. It is designed for data analysis and management, providing tools for data exploration, modeling, and reporting. The software offers a range of statistical techniques and is widely used in academic and professional research settings.
Sourced in United States, Denmark, United Kingdom, Austria, Sweden
Stata 13 is a comprehensive, integrated statistical software package developed by StataCorp. It provides a wide range of data management, statistical analysis, and graphical capabilities. Stata 13 is designed to handle complex data structures and offers a variety of statistical methods for researchers and analysts.
Sourced in United States, Austria, Japan, Cameroon, Germany, United Kingdom, Canada, Belgium, Israel, Denmark, Australia, New Caledonia, France, Argentina, Sweden, Ireland, India
SAS version 9.4 is a statistical software package. It provides tools for data management, analysis, and reporting. The software is designed to help users extract insights from data and make informed decisions.
Sourced in United States, Japan, United Kingdom, Austria, Germany, Czechia, Belgium, Denmark, Canada
SPSS version 22.0 is a statistical software package developed by IBM. It is designed to analyze and manipulate data for research and business purposes. The software provides a range of statistical analysis tools and techniques, including regression analysis, hypothesis testing, and data visualization.
Sourced in United States, Austria, Japan, Belgium, United Kingdom, Cameroon, China, Denmark, Canada, Israel, New Caledonia, Germany, Poland, India, France, Ireland, Australia
SAS 9.4 is an integrated software suite for advanced analytics, data management, and business intelligence. It provides a comprehensive platform for data analysis, modeling, and reporting. SAS 9.4 offers a wide range of capabilities, including data manipulation, statistical analysis, predictive modeling, and visual data exploration.
Sourced in United States, Japan, United Kingdom, Germany, Belgium, Austria, Spain, France, Denmark, Switzerland, Ireland
SPSS version 20 is a statistical software package developed by IBM. It provides a range of data analysis and management tools. The core function of SPSS version 20 is to assist users in conducting statistical analysis on data.
Sourced in United States, Japan, United Kingdom, Germany, Austria, Belgium, Denmark, China, Israel, Australia
SPSS version 21 is a statistical software package developed by IBM. It is designed for data analysis and statistical modeling. The software provides tools for data management, data analysis, and the generation of reports and visualizations.
Sourced in United States
Stata version 9 is a statistical software package developed by StataCorp. It provides data management, statistical analysis, and graphics capabilities. Stata version 9 includes a wide range of statistical methods for data analysis.
Sourced in United States, Denmark, Austria, United Kingdom, Japan
Stata version 15 is a data analysis and statistical software package. It provides a range of tools for data management, statistical analysis, and visualization. Stata version 15 supports a variety of data types and offers a comprehensive set of statistical procedures.

More about "Abuse, Child"

Child maltreatment, child mistreatment, child neglect, child sexual abuse, child physical abuse, child emotional abuse, child exploitation, pediatric abuse, juvenile abuse, minor abuse, minor maltreatment, minor mistreatment.
Relevant statistical software for analyzing child abuse data include SPSS Statistics version 21, Stata 13, SAS version 9.4, SPSS version 22.0, SAS 9.4, SPSS version 20, SPSS version 21, Stata version 9, and Stata version 15.
These tools can be leveraged to identify trends, risk factors, and effective intervention strategies through robust data analysis.
Aiming to enhance child abuse research and prevention, researchers can leverage the latest AI-driven tools to locate the most reproducible and accurate literature on this critical topic.
By studying evidence-based protocols and methodologies, the goal is to drive progress in this field and improve outcomes for vulnerable children.
Whether analyzing survey data, case files, or other relevant information, statistical software can provide valuable insights to support child abuse research and inform policies and practices to safeguard minors.