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Problem Behavior

Problem Behavior refers to actions or patterns of conduct that deviate from social norms and may be harmful to the individual or others.
This can include aggression, impulsivity, risk-taking, and other disruptive or antisocial behaviors.
Researchers and clinicians often study problem behaviors to understand their underlying causes, develop effective interventions, and promote healthier coping strategies.
The accurate identification and characterizaiton of problem behaviors is crucial for informing evidence-based approaches to prevention and treatment.

Most cited protocols related to «Problem Behavior»

In the LifeLines Cohort Study, a recruitment strategy was adopted that aimed to include three generations of participants. Firstly, all GPs in the three northern provinces of the Netherlands were invited to participate and asked to invite their registered patients aged 25–49 years. Patients who were unable to read Dutch or who had limited life expectancy due to severe illness were excluded by the GP and not invited for participation. Participants who gave written informed consent were included as the “index population”. Subsequently, all persons in the index population were asked to indicate whether family members (partner, parents, parents-in-law, and children) could be invited and to provide their contact details. Family members were invited by LifeLines; those who gave their informed consent were included in the study as “family member”. Furthermore, persons aged 18 years and older could participate in this study through “self-registration” via the LifeLines website. These self-registrants were also asked to invite family members as outlined above. LifeLines aimed to include three generations of participants, but individuals who had no family member participating in the study were not excluded. Although the inclusion started in 2006 and ended in 2013, most participants (57%) were included in the last two years.
All participants aged 18 years and older were asked to complete a comprehensive questionnaire covering the occurrence of diseases, general health, lifestyle, diet, physical activity, personality, social support, medication use and more. In addition, all participants aged 18 years and older were invited to one of the 10 research sites within the region where a number of measurements were performed covering anthropometry, blood pressure, pulmonary function, heart function (electrocardiogram) and cognition [2 ,9 ]. In addition, a fasting blood sample was taken, 24 hour urine was collected, and psychiatric disorders were assessed in an interview with one of the research nurses [2 ,10 (link)].
All participants signed an informed consent form before they received an invitation for the physical examination. The LifeLines Cohort Study is conducted according to the principles of the Declaration of Helsinki and in accordance with research code University Medical Center Groningen (UMCG). The LifeLines study is approved by the medical ethical committee of the UMCG, the Netherlands. For a comprehensive overview of the data collection, please visit the LifeLines catalogue at www.LifeLines.net.
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Publication 2015
BLOOD Blood Pressure Child Cognition Diet Electrocardiography Family Member Heart Lung Nurses Parent Patients Pharmaceutical Preparations Physical Examination Problem Behavior Urine
The official Chinese translations of the parent, teacher and self report versions of the Strengths and Difficulties Questionnaire [14 (link)] were used. These versions were translated and back-translated by academic staff at the Centre for Clinical Trials and Epidemiological Research at the Chinese University of Hong Kong, and by Iris Tan Mink. Each of these questionnaires includes 25 items, each of which is scored on a three point scale (0 = not true, 1 = somewhat true, 2 = certainly true). Fifteen of the questions ask about difficulties and ten ask about strengths. The ten questions asking about strengths are positively worded. Five of these make up the prosocial behaviours subscale for which, unlike the other four subscales a higher score signifies less problems. The other five positively worded questions are reverse scored. Five subscale scores are generated each of which relates to 5 of the questions. These are; emotional symptoms, conduct problems, hyperactivity/inattention, peer relationship problems and prosocial behaviour. A total difficulties score is calculated by summing four of the subscale scores (emotional symptoms, conduct problems, hyperactivity/inattention and peer relationship problems). In addition, but not used in this study, an impact rating can be generated using separate questions from an impact supplement. In general a high score represents greater difficulties, except for the prosocial scale score where a lower score indicates greater difficulties. General information on the SDQ, the Chinese versions, and the SDQ scoring can be found online[37 ,38 ]. Parents and teachers were asked to rate the behavioural and emotional aspects of the child's behaviour over the past six months as per their general observations of the child, young people aged 11 – 17 were asked to rate themselves over the past six months. Parents were also asked to complete the Chinese version of the Conner's Parent Symptoms Questionnaire (PSQ) [39 ].
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Publication 2008
Child Chinese Dietary Supplements Emotions Iris Plant Mink Parent Problem Behavior

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Publication 2010
Abuse, Alcohol Adolescent Agoraphobia Alcoholic Intoxication, Chronic Anorexia Nervosa Anxiety Disorders Behavior Disorders Bulimia Nervosa Conduct Disorder Diagnosis Disorder, Attention Deficit-Hyperactivity Disorder, Binge-Eating Drug Abuse Drug Dependence Dysthymic Disorder Eating Disorders Emotions Interviewers Major Depressive Disorder Mental Disorders Mood Disorders Oppositional Defiant Disorder Panic Disorder Parent Phobia, Social Phobia, Specific Physical Examination Post-Traumatic Stress Disorder Problem Behavior Separation Anxiety Disorder Substance Use Disorders
First, existing screening and diagnostic instruments for ICDs and other compulsive behaviors that have been used in PD and the general population were reviewed(1 ;6 (link);19 (link);21 (link)–23 (link)). Second, input was solicited from outside experts in the area of ICDs in PD (MNP, JM, and VV) and from an expert in questionnaire development (JAS). Third, a preliminary ICD section of the QUIP was structured to be consistent with diagnostic criteria or defining clinical characteristics as described in the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR)(1 ). This consisted of an introductory question and four additional questions that addressed cognitive symptoms, affective symptoms, lack of ability to reduce or stop the behaviors, and activities that enable continuation of the behaviors. The compulsive medication use section was modeled on both Giovannoni’s proposed criteria for hedonistic homeostatic dysregulation and DSM-IV substance dependence criteria. While minor wording changes were made in subsequent drafts, the structure of these sections remained consistent throughout the instrument development process. The other compulsive behaviors section was designed with conciseness in mind (an introductory question for each of the three behaviors plus two common additional questions). Guiding principles in the design of the QUIP included making it self-administered, brief yet comprehensive, and consistent in wording across different ICDs and other compulsive behaviors.
Next, the preliminary QUIP was administered to a sample of healthy controls (10 research staff members who work with neurodegenerative disease and psychiatric populations), and modifications were made based on the feedback received. Finally, the QUIP was administered to five PD patients and their informed others, and additional modifications were made based on the feedback received from them.
The final version that was validated queried about behaviors that occurred at any time since the onset of PD (either inactive or active) that lasted at least four weeks. We chose the time frame of “anytime during PD” due to the observation that a substantial number of PD patients who have experienced an ICD during PD are currently asymptomatic due to clinical management, but may be at elevated risk of developing an ICD in the future. Another version of the QUIP that queries only about active behaviors is also available; it is identical to the validated version except for the time frame queried. The final version of the QUIP is divided into three sections: (1) five questions (including an introductory question that defines and gives examples of problem behaviors) for the four ICDs reported in PD; (2) three distinct introductory questions and two common additional questions for hobbyism, punding, and walkabout; and (3) five questions (including an introductory question) for compulsive medication use. The Flesch-Kincaid Readability Test assessed the QUIP to require a 12th grade reading level.
Publication 2009
Affective Symptoms Compulsive Behavior Diagnosis Homeostasis Implantable Defibrillator Neurobehavioral Manifestations Neurodegenerative Disorders Patients Pharmaceutical Preparations Population Group Problem Behavior Reading Frames Substance Dependence
In this study, we used the parent-rated, English (United States) and Spanish versions of the SDQ (Goodman & Scott, 1999 (link); www.sdqinfo.org). The SDQ has been widely used and has been normed for the United States (Bourden et al., 2005 (link)). The SDQ consists of five subscales: Emotional Symptoms, Conduct Problems, Hyperactivity/Inattention, Peer Problems, and Prosocial Behavior. Each subscale has five items and each item is stated as a strength or weakness but not both. The number stated as weaknesses varies across these subscales. For Emotional Symptoms, all five are stated as weaknesses; for Conduct Problems, four of the five; for Hyperactivity/Inattention, three of the five; for Peer Problems, two of the five; and for Prosocial, none of the five (i.e., all are stated as strengths). The score on each subscale of the SDQ is determined by the summation of items stated as strengths and weaknesses. Weaknesses are scored 0 for “not true,” 1 for “somewhat true,” and 2 for “certainly true.” Reverse scoring is used for strengths, which are scored 2 for “not true,” 1 for “somewhat true,” and 0 for “certainly true.”
The SDQ Hyperactivity-Inattention subscale provides a rating reflecting the symptom domains of ADHD (i.e., inattention, hyperactivity, and impulsivity). It consists of three items stated as difficulties (1 = restless, overactive, cannot stay still for long; 2 = constantly fidgeting or squirming; and 3 = easily distracted, concentration wanders) and two items as strengths (4 = thinks things out before acting and 5 = sees tasks through to the end, good attention span).
As directed by the SDQ manual, the items stated as difficulties were scored to reflect the degree of psychopathology (0 = not true, 1 = somewhat true, and 2 = certainly true). The items stated as strengths were reverse scored (2 = not true, 1 = somewhat true, and 0 = certainly true). Thus, the minimum on each subscale is 0 (representing lack of psychopathology) and the maximum score on each subscale is 10 (representing presence of psychopathology, except in the case of the Prosocial Behavior subscale).
Publication 2011
Asthenia Attention Debility Disorder, Attention Deficit-Hyperactivity Emotions Hispanic or Latino Parent Problem Behavior Thinking Vision

Most recents protocols related to «Problem Behavior»

Figure 2 describes the proposed BiLSTM-XAI approach to efficiently classify the intrusions present in the industrial network. The step by step procedure of BiLSTM-XAI approach is described as follows.

Proposed BiLSTM-XAI approach

Step 1 The input databases, namely Honeypot and NSL-KDD, are injected into the BiLSTM framework that classifies the data features and detects the abnormal features if any present in the network.
Step 2 The extracted features of the BiLSTM framework may contain some inappropriate loss functions.
Step 3 Due to the loss functions, the detection accuracy gets diminished thereby causing misclassification results.
Step 4 Therefore, it necessitates interpretable explanations with justifications for the misclassified result to prevent the network from future attacks.
Step 5 This mechanism improves the transparency of the proposed intrusion detection system in making decisions regarding interpretation of predictions.
Step 6 To make this happen, this paper introduced the explainable AI models, namely LIME and SHAP models.
Step 7 The XAI approaches increase the interpretation efficiency by its ability to understand the impact of the malicious data.
Step 8 Thus, the BiLSTM-XAI approach determines the presence of any unauthorized and abnormal behavior (i.e., intrusions) of the network.
Publication 2023
Citrus aurantiifolia Problem Behavior
In IDS, the classification task becomes an indispensable step, in which it classifies the input databases into two distinct categories by detecting whether the network is affected by any intrusions or not. To achieve efficient classification results, we developed a Bidirectional Long Short-Term Memory based Explainable Artificial Intelligence framework (BiLSTM-XAI) which determines the presence of any unauthorized and abnormal behavior of the network accurately. The elaborated illustrations of these techniques are detailed in the following sub-sections.
Publication 2023
Memory, Long-Term Problem Behavior
A purposive sampling method was adopted to select college students who were “Glory of Kings” players from six universities or colleges in Zhejiang Province. Inclusion criteria: (1) college students; (2) playing the “Glory of Kings” game for more than 1 year; (3) have participated in the “Glory of Kings” game in the ranking tournament; and (4) informed consent and voluntary participation. Exclusion criteria: (1) college students suspended from school due to physical problems; (2) students who have a medical history of mental illness or psychiatric disorders and who were screened as having mental problems in the students’ general psychological test. The sample size was determined based on the principle of theoretical saturation. Interviews were conducted until reached theoretical saturation—that is, when the 18th participants did not provide new insights, and two more interviews were conducted to verify if new information would emerge. In the end, no new ideas were found to emerge making the sample size appropriate for this study. Among 23 students who were invited to participate, one student refused to participate due to lack of interest, and two persons were unable to participate due to time conflicts. Eventually, 20 college students (13 males and 7 females) were interviewed. Their ages ranged from 18 to 21 years, and their experience in playing the “Glory of Kings” game ranged from 2 to 6 years. The detailed information of participants is shown in Table 1.
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Publication 2023
Females Males Mental Disorders Mental Tests Physical Examination Problem Behavior Student TNFRSF11A protein, human
The survey included questions about the impact of the COVID-19 outbreak on their wellbeing as well as the requirements for dealing with the pandemic. Each multiple-choice question allowed participants to choose only one item. This measure of emotional and behavioral change was reported by parents who were asked about their children’s emotional and behavioral changes (e.g., emotional reactions to stress, emotional self-regulation system’s stability and emotional and behavioral problems related to ASD or DD) during the COVID-19 pandemic lockdown. Specifically, a scale of 1 = “improved,” 2 = “no change,” and 3 = “worse” was used. Demographic variables, family socioeconomic variables, and family treatment history variables were used as control variables in this study. The demographic variables included the age of the children, their gender, and the number of children in the household, and having comorbidities or not. The age was the age at the time of the survey. The comorbidities referred to neurodevelopment disorders, including intellectual disabilities (ID) and attention deficit and hyperactivity disorder (ADHD) in this study. Information on family sociodemographic and medical history was gathered. The income of families was divided into three categories: below average, average, and above average. According to the data distribution, the below average group had an annual income of less than $12,327 (RMB80,000), the average group had an annual income between $12,327 (RMB80,001) and $23,112 (RMB150,000), and the above average group had an annual income greater than $23,112 (RMB150,000).
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Publication 2023
AN 12 Attention Deficit Disorder BAD protein, human Child COVID 19 Disorder, Attention Deficit-Hyperactivity Emotional Regulation Emotional Stress Emotions Gender Households Intellectual Disability Neurodevelopmental Disorders Pandemics Parent Problem Behavior
The final raw data were downloaded from WJX Forms into a Microsoft Excel file for analysis using SPSS software. Descriptive statistics were used to provide baseline information concerning survey participants’ children with ASD. Logistic regressions were performed to investigate whether the socio-demographic or clinical characteristics of any individuals with ASD would predict a greater frequency and intensity of emotional and behavioral problems following the COVID-19 outbreak. Associations between predictors and independent variables were reported by odds ratios (ORs) and their 95% confidence intervals (CIs). All the estimated costs were converted to US dollar (US$) values in January 2021, when one US$ was equivalent to about 6.49 Chinese yuan. All statistical analyses were conducted using SPSS 22.0 for Windows (SPSS Inc., Chicago, IL, USA).
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Publication 2023
Child Chinese COVID 19 Emotions Problem Behavior

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More about "Problem Behavior"

Delve into the nuanced world of problem behaviors, a complex and multifaceted realm that encompasses a range of actions and patterns deviating from societal norms.
From aggression and impulsivity to risk-taking and antisocial conduct, these behaviors can have profound impacts on both the individual and their surrounding community.
Researchers and clinicians, armed with powerful statistical tools like SAS 9.4, SPSS 22.0, SPSS version 26, SPSS version 23, Stata 15, Stata 14, and SPSS Statistics version 27, strive to uncover the underlying causes and develop effective interventions to address these challenging issues.
By leveraging data-driven approaches, they can gain crucial insights and design evidence-based strategies to promote healthier coping mechanisms and prevent the escalation of problem behaviors.
The accurate identification and characterization of these behaviors, often referred to as conduct disorders, disruptive behaviors, or externalizing problems, is paramount.
Cutting-edge platforms like PubCompare.ai empower researchers to effortlessly locate and compare protocols from literature, pre-prints, and patents, streamlining the research process and enhancing the reliability of their findings.
Whether it's the aggressive tendencies exhibited by C57BL/6J mice, the impulsive decision-making seen in certain populations, or the risk-taking behaviors associated with SMZ-171 Series interventions, understanding the multifaceted nature of problem behaviors is essential for developing comprehensive solutions.
By embracing a holistic approach and harnessing the power of data-driven tools, researchers and clinicians can unlock new pathways to promote healthier outcomes and foster more resilient individuals and communities.