Artículos de revistas sobre el tema "Behavioral disorders"

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1

Maggin, Daniel M. y Bryan G. Cook. "Behavioral Disorders". Behavioral Disorders 42, n.º 2 (febrero de 2017): 37–40. http://dx.doi.org/10.1177/0198742917690506.

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HARADA, YUZURU, YURI SATOH, AYAKO SAKUMA, JUNKO IMAI, TUNEMI TAMARU, TOHRU TAKAHASHI y NAOJI AMANO. "Behavioral and developmental disorders among conduct disorder". Psychiatry and Clinical Neurosciences 56, n.º 6 (diciembre de 2002): 621–25. http://dx.doi.org/10.1046/j.1440-1819.2002.01065.x.

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Hill, John W. y Kathy L. Coufal. "Emotional/Behavioral Disorders". Communication Disorders Quarterly 27, n.º 1 (diciembre de 2005): 33–46. http://dx.doi.org/10.1177/15257401050270010401.

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Barrickman, Les. "Disruptive behavioral disorders". Pediatric Clinics of North America 50, n.º 5 (octubre de 2003): 1005–17. http://dx.doi.org/10.1016/s0031-3955(03)00078-6.

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5

Benbadis, Selim R. "Nonepileptic Behavioral Disorders". CONTINUUM: Lifelong Learning in Neurology 19 (junio de 2013): 715–29. http://dx.doi.org/10.1212/01.con.0000431399.69594.de.

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Kesuma, Yudianita, Rismarini Rismarini, Theodorus Theodorus y Mutiara Budi Azhar. "Association between specific language impairment and behavioral disorders among preschool children". Paediatrica Indonesiana 54, n.º 1 (28 de febrero de 2014): 22. http://dx.doi.org/10.14238/pi54.1.2014.22-7.

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BackgroundSpecific language impairment (SU) is the mostcommon developmental disorder in preschool children, causingserious impairmentE on behavioral development. To date, there havebeen few studies on SU and behavioral disorders in Palembang.ObjectiveTo assess for an association between SU and behavioraldisorders in preschool children in Palembang.MethodsSubjects in this cross-sectional study were childrenwho attended kindergarten. Their general characteristics,developmental history and physical examination results (includingweight and height) were recorded. We administered the SpecificLanguage Impairment checklist for language impairment and thePediatric Symptom Checklist 17 (PSC 17) for behavioral disorders.Data was analyzed by Chi-square test.ResultsWe studied 1,340 children from21 kinderg:irtens in Palembang.Prevalence of SU was 12.9%, consisting of expressive languageimpairment (10.2%), receptive impairment (0.5%) and mixed languageimpairment (2 .2%). The prevalence of behavioral disorders was15.1 %, consisting of internalization disorder (6.0%), externalizationdisorder (5.0%), attentive disorder (0.4%), and various combinationsof three disorders (3. 7%). A highly significant association was foundbetween SU and behavioral disorders (P=0.000; OR=2.082; 95%CI 1. 419-3 .053. Expressive language impairment was associated withexternalization and mixed behavioral disorders. Mixed languageimpairment was associated with internalization, attentive, and mixedbehavioral disorders. Howevei; receptive language disorder was notassociated with any behavioral disorders.ConclusionSU is significantly as sociated with behavioraldisorders. With regards to the individual SU types, expressivelanguage impairment is associated with externalization and mixedbehavioral disorders; mixed language impairment is associatedwith internalization, attentive and mixed behavioral disorders;but receptive language disorder is not associated with behavioraldisorders.
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7

Leclair, Norma J., Steven W. Leclair y Christopher R. Brigham. "Multiaxial Diagnosis of Mental and Behavioral Disorders". Guides Newsletter 7, n.º 6 (1 de noviembre de 2002): 1–3. http://dx.doi.org/10.1001/amaguidesnewsletters.2002.novdec01.

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Abstract Most health care professionals who diagnose and treat mental disorders use the diagnostic criteria outlined in the Diagnostic and Statistical Manual for Mental Disorders, Fourth Edition–Text Revised (DSM-IV-TR), which uses a multiaxial system to ensure a comprehensive assessment and evaluation of the patient's presenting symptoms, general medical condition, psychosocial and environmental problems, and level of function. The five axes are mental disorders; personality and mental disorders; general medical conditions; psychosocial and environmental problems, and global assessment of functioning (GAF) scale. Psychosocial and environmental problems may affect diagnosis, treatment, and prognosis of mental disorders; the problems or stressors can contribute to the development of a mental disorder or can be the result of a mental disorder. The multiaxial assessment process should result in the following; documentation of the primary and any secondary mental and behavioral disorders; definition of physical disorders that may be present and indication if they are related to or influence the mental and behavioral disorders; identification of environmental stressors that may affect, contribute to, complicate, or exacerbate the mental and behavioral disorder; and a rating of the person's psychological, social, and occupational functioning. A table shows the GAF scale (ratings by deciles from 1 to 100; higher numbers indicate fewer problems) and does not include impairments that result from physical or environmental limitations.
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HASHIMOTO, Toshiaki. "Behavioral Disorders Complicating Developmental Anomalies of the Brain: Sleep Behavioral Disorders". Congenital Anomalies 25, n.º 4 (diciembre de 1985): 383–92. http://dx.doi.org/10.1111/j.1741-4520.1985.tb00650.x.

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9

Reeb-Sutherland, Bethany C. "What Environmental Factors Contribute to the Development of Anxiety in Temperamentally Inhibited Children? Insight From Animal Research Models". Policy Insights from the Behavioral and Brain Sciences 5, n.º 1 (21 de diciembre de 2017): 126–33. http://dx.doi.org/10.1177/2372732217743990.

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Anxiety is one of the most prevalent and costly mental disorders. A temperament style known as behavioral inhibition has been strongly linked to the later development of anxiety disorders. Behavioral inhibition appears early in toddlerhood and is characterized by extreme wariness in novel situations, particularly social situations. Although behavioral inhibition is relatively stable, not all behaviorally inhibited children develop an anxiety disorder. Environmental factors may contribute to the stability of behavioral inhibition, so identifying them can inform interventions to decrease the development of anxiety within this high-risk population. Scientific research using animal research models has identified both maternal and nonmaternal factors that may contribute to behavioral inhibition. High-quality maternal care, as well as exposure to new non–maternal care environments, particularly early in life, may buffer against the later development of anxiety in behaviorally inhibited children. Here, parallels are drawn between scientific literature from both animals and humans. Policy implications are briefly discussed.
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10

Zinner, Samuel H. y Barbara J. Coffey. "Developmental and Behavioral Disorders Grown Up: Touretteʼs Disorder". Journal of Developmental & Behavioral Pediatrics 30, n.º 6 (diciembre de 2009): 560–73. http://dx.doi.org/10.1097/dbp.0b013e3181bd7f3e.

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11

Bienvenu, O. J., D. S. Davydow y K. S. Kendler. "Psychiatric ‘diseases’ versus behavioral disorders and degree of genetic influence". Psychological Medicine 41, n.º 1 (12 de mayo de 2010): 33–40. http://dx.doi.org/10.1017/s003329171000084x.

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BackgroundPsychiatric conditions in which symptoms arise involuntarily (‘diseases’) might be assumed to be more heritable than those in which choices are essential (behavioral disorders). We sought to determine whether psychiatric ‘diseases’ (Alzheimer's disease, schizophrenia, and mood and anxiety disorders) are more heritable than behavioral disorders (substance use disorders and anorexia nervosa).MethodWe reviewed the literature for recent quantitative summaries of heritabilities. When these were unavailable, we calculated weighted mean heritabilities from twin studies meeting modern methological standards.ResultsHeritability summary estimates were as follows: bipolar disorder (85%), schizophrenia (81%), Alzheimer's disease (75%), cocaine use disorder (72%), anorexia nervosa (60%), alcohol dependence (56%), sedative use disorder (51%), cannabis use disorder (48%), panic disorder (43%), stimulant use disorder (40%), major depressive disorder (37%), and generalized anxiety disorder (28%).ConclusionsNo systematic relationship exists between the disease-like character of a psychiatric disorder and its heritability; many behavioral disorders seem to be more heritable than conditions commonly construed as diseases. These results suggest an error in ‘common-sense’ assumptions about the etiology of psychiatric disorders. That is, among psychiatric disorders, there is no close relationship between the strength of genetic influences and the etiologic importance of volitional processes.
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12

Rezayi, Saeed y Mohammad Bagher Hasanvand. "Effectiveness of Play Therapy Based on Social Cognition in Children With Internalized Behavioral Disorders". Iranian Rehabilitation Journal 20, n.º 3 (1 de septiembre de 2022): 369–78. http://dx.doi.org/10.32598/irj.20.3.1610.1.

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Objectives: Internalizing disorders include disorders, such as major depressive disorder, dysthymia, and somatic disorders. In the diagnostic and statistical manual of mental disorders, 5th edition (DSM-5), post-traumatic stress disorder (PTSD) is recognized as a distinct group, but anxiety is a common symptom. This study aimed to investigate the effectiveness of play therapy programs based on social cognition in children with internalized behavioral disorders. Methods: This study was an experimental design with a pre-test, post-test, and follow-up. The subjects were screened based on the inclusion criteria, then 20 children with internalized behavioral disorders were selected after the matching process, and they were randomly assigned to experimental and control groups (10 persons in each group). The intervention program was implemented in 10 sessions over 3 months. In this research, the Achenbach questionnaire (teacher report form) was used to assess students’ behavioral problems. Results: The results showed that play therapy with the social cognition method decreased the behavioral problems in children with the internalizing disorder (P≤0.05). Discussion: It suggested that this supportive program can be implemented in a community of children with internalizing behavioral disorders.
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13

Swartz, Stanley L., William J. Mosley y Georgianna Koenig-Jerz. "Emotional and Behavioral Disorders". Journal of Disability Policy Studies 2, n.º 2 (julio de 1991): 49–60. http://dx.doi.org/10.1177/104420739100200204.

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14

Sforza, Emiliana, Marco Zucconi, Roberta Petronelli, Elio Lugaresi y Fabio Cirignotta. "REM Sleep Behavioral Disorders". European Neurology 28, n.º 5 (1988): 295–300. http://dx.doi.org/10.1159/000116288.

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15

Anderson Downing, Joyce y Kim Weaster. "Reading and Behavioral Disorders". Intervention in School and Clinic 40, n.º 1 (septiembre de 2004): 59–62. http://dx.doi.org/10.1177/10534512040400010601.

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Trojano, Luigi y Costanza Papagno. "Cognitive and behavioral disorders in Parkinson’s disease: an update. II: behavioral disorders". Neurological Sciences 39, n.º 1 (16 de octubre de 2017): 53–61. http://dx.doi.org/10.1007/s10072-017-3155-7.

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17

AlWreikat, Hussein Abdallah AlSouliman, Jamil Mahmoud Falah Smadi y Bassam Moqbel Mjalli Alabdallat. "Behavioral and Educational Characteristics of Students with Behavioral and Emotional Disorders in Jordan". Dirasat: Educational Sciences 49, n.º 3 (17 de septiembre de 2022): 13–26. http://dx.doi.org/10.35516/edu.v49i3.1941.

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Objectives: The current study aims to identify behavioral and educational characteristics of students with behavioral and emotional disorders from the point of view of their parents. Methods: A descriptive approach was employed. The study sample consisted of (1298) students with behavioral and emotional disorders aged between (5-15) years, selected through teachers' assessments. A scale of behavioral and educational characteristics for students with disorders was built. Behavior and emotionality are made up of five dimensions: inability to learn, inappropriate behavior in social situations, relationship problems with colleagues and teachers, feelings of sadness and depression, and physical symptoms and fears. Results: The results show that the overall average of behavioral and educational characteristics scale for students with behavioral and emotional disorders was low. The results indicate that there are statistically significant differences in the total score of behavioral and educational characteristics scale due to gender in favor of males, and due to stage in favor of the upper school stage. Conclusions: The study finds that it is necessary to support families of children with behavioral and emotional disorders with information about the disorder and how to deal with it.
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Isolan, Luciano Rassier, Cristian Patrick Zeni, Kelin Mezzomo, Carolina Blaya, Leticia Kipper, Elizeth Heldt y Gisele Gus Manfro. "Behaviorial inhibition and history of childhood anxiety disorders in Brazilian adult patients with panic disorder and social anxiety disorder". Revista Brasileira de Psiquiatria 27, n.º 2 (junio de 2005): 97–100. http://dx.doi.org/10.1590/s1516-44462005000200005.

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PURPOSE: To evaluate the presence of behavioral inhibition and anxiety disorders during childhood in Brazilian adult patients with panic disorder and social anxiety disorder compared to a control group. METHODS: Fifty patients with panic disorder, 50 patients with social anxiety disorder, and 50 control subjects were included in the study. To assess the history of childhood anxiety, the Schedule for Affective Disorders and Schizophrenia for School Age Children, Epidemiologic Version (K-SADS-E), and the Diagnostic Interview for Children and Adolescents-Parent Version (DICA-P) were used. The presence of behavioral inhibition in childhood was assessed by the self-reported scale of Behavioral Inhibition Retrospective Version (RSRI-30). RESULTS: Patients showed significantly higher prevalence of anxiety disorders and behavioral inhibition in childhood compared to the control group. Patients with social anxiety disorder also showed significantly higher rates of avoidance disorder (46% vs. 18%, p = 0.005), social anxiety disorder (60% vs. 26%, p = 0.001), presence of at least one anxiety disorder (82% vs. 56%, p = 0.009) and global behavioral inhibition (2.89 ± 0.61 vs. 2.46 ± 0.61, p < 0.05) and school/social behavioral inhibition (3.56 ± 0.91 vs. 2.67 ± 0.82, p < 0.05) in childhood compared to patients with panic disorder. CONCLUSION: Our data are in accordance to the literature and corroborates the theory of an anxiety diathesis, suggesting that a history of anxiety disorders in childhood is associated with an anxiety disorder diagnosis, mainly social anxiety disorder, in adulthood.
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Devlin, Sandy D. y Raymond N. Elliott. "Drug Use Patterns of Adolescents with Behavioral Disorders". Behavioral Disorders 17, n.º 4 (agosto de 1992): 264–72. http://dx.doi.org/10.1177/019874299201700402.

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The purpose of this study was to examine the relationship between drug use patterns of students identified as behaviorally disordered and a matched group of nonhandicapped students. Drug use patterns of 43 students with behavioral disorders and 43 students without behavioral disorders were assessed through the use of the Typology of Adolescent Drug Use. It was hypothesized that the students with behavioral disorders would evidence more serious drug use patterns more often than the nonhandicapped students. This hypothesis was supported. The implications of these results are discussed.
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20

Amarenco, G. "Urinary disorders, behavioral and cognitive therapy and functional disorder". Annals of Physical and Rehabilitation Medicine 57, n.º 6-7 (agosto de 2014): 483–85. http://dx.doi.org/10.1016/j.rehab.2014.05.001.

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Harada, Yuzuru, Ayako Hayashida, Shouko Hikita, Junko Imai, Daimei Sasayama, Sari Masutani, Taku Tomita, Kazuhiko Saitoh, Shinsuke Washizuka y Naoji Amano. "Impact of behavioral/developmental disorders comorbid with conduct disorder". Psychiatry and Clinical Neurosciences 63, n.º 6 (diciembre de 2009): 762–68. http://dx.doi.org/10.1111/j.1440-1819.2009.02029.x.

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Pierzynowska, Karolina, Lidia Gaffke, Magdalena Podlacha y Grzegorz Węgrzyn. "Genetic Base of Behavioral Disorders in Mucopolysaccharidoses: Transcriptomic Studies". International Journal of Molecular Sciences 21, n.º 3 (10 de febrero de 2020): 1156. http://dx.doi.org/10.3390/ijms21031156.

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Mucopolysaccharidoses (MPS) are a group of inherited metabolic diseases caused by mutations leading to defective degradation of glycosaminoglycans (GAGs) and their accumulation in cells. Among 11 known types and subtypes of MPS, neuronopathy occurs in seven (MPS I, II, IIIA, IIIB, IIIC, IIID, VII). Brain dysfunctions, occurring in these seven types/subtypes include various behavioral disorders. Intriguingly, behavioral symptoms are significantly different between patients suffering from various MPS types. Molecular base of such differences remains unknown. Here, we asked if expression of genes considered as connected to behavior (based on Gene Ontology, GO terms) is changed in MPS. Using cell lines of all MPS types, we have performed transcriptomic (RNA-seq) studies and assessed expression of genes involved in behavior. We found significant differences between MPS types in this regard, with the most severe changes in MPS IIIA (the type considered as the behaviorally most severely affected), while the lowest changes in MPS IVA and MPS VI (types in which little or no behavioral disorders are known). Intriguingly, relatively severe changes were found also in MPS IVB (in which, despite no behavioral disorder noted, the same gene is mutated as in GM1 gangliosidosis, a severe neurodegenerative disease) and MPS IX (in which only a few patients were described to date, thus, behavioral problems are not well recognized). More detailed analyses of expression of certain genes allowed us to propose an association of specific changes in the levels of transcripts in specific MPS types to certain behavioral disorders observed in patients. Therefore, this work provides a principle for further studies on the molecular mechanism of behavioral changes occurring in MPS patients.
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Tapiainen, V., S. Hartikainen, H. Taipale, J. Tiihonen y A. M. Tolppanen. "Hospital-treated mental and behavioral disorders and risk of Alzheimer's disease: A nationwide nested case-control study". European Psychiatry 43 (junio de 2017): 92–98. http://dx.doi.org/10.1016/j.eurpsy.2017.02.486.

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AbstractBackground:Studies investigating psychiatric disorders as Alzheimer's disease (AD) risk factors have yielded heterogeneous findings. Differences in time windows between the exposure and outcome could be one explanation. We examined whether (1) mental and behavioral disorders in general or (2) specific mental and behavioral disorder categories increase the risk of AD and (3) how the width of the time window between the exposure and outcome affects the results.Methods:A nationwide nested case-control study of all Finnish clinically verified AD cases, alive in 2005 and their age, sex and region of residence matched controls (n of case-control pairs 27,948). History of hospital-treated mental and behavioral disorders was available since 1972.Results:Altogether 6.9% (n = 1932) of the AD cases and 6.4% (n = 1784) of controls had a history of any mental and behavioral disorder. Having any mental and behavioral disorder (adjusted OR = 1.07, 95% CI = 1.00–1.16) or depression/other mood disorder (adjusted OR = 1.17, 95% CI = 1.05–1.30) were associated with higher risk of AD with 5-year time window but not with 10-year time window (adjusted OR, 95% CI 0.99, 0.91–1.08 for any disorder and 1.08, 0.96–1.23 for depression).Conclusions:The associations between mental and behavioral disorders and AD were modest and dependent on the time window. Therefore, some of the disorders may represent misdiagnosed prodromal symptoms of AD, which underlines the importance of proper differential diagnostics among older persons. These findings also highlight the importance of appropriate time window in psychiatric and neuroepidemiology research.
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Prawira, Yogi, Intan Tumbelaka, Ali Alhadar, Erwin Hendrata, Renno Hidayat, Dave Anderson, Trevino Pakasi, Bernie Endyarni y Rini Sekartini. "Detection of childhood developmental disorders, behavioral disorders, and depression in a post-earthquake setting". Paediatrica Indonesiana 51, n.º 3 (30 de junio de 2011): 133. http://dx.doi.org/10.14238/pi51.3.2011.133-7.

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Background Disasters, including earthquakes, may strike abruptly without warning. Children may develop psychological damage resulting from experiencing an overwhelmingly traumatic event. They may feel very frightened during a disaster and demonstrate emotional and behavioral problems afterwards.Objective To evaluate the presence of developmental disorders, behavioral disorders, and depression in children after the earthquake at Padang and Pariaman on September 30th, 2009.Methods This was a cross􀁘sectional study using the developmental pre screening questionnaire (KPSP), Pediatric Symptoms Checklist-17 (PSC-17), and Child Depression Inventory (CDI) in children after the Padang and Pariaman earthquake (September 30th, 2009), in Sungai Limau and Sungai Geringging District, Pariaman Region, West Sumatera. Our study was conducted October 15th to November 28th, 2009.Results There were 172 children screened using the KPSP. Forty-two (25%) children scored 7􀁘8 (reason for concern), 18 (10%) children scored <7 (suspected to have a developmental disorder), and the remainder scored as developmentally appropriate. Behavioral disorder screening was perfonned in 339 children using the PSC􀁘 17. Internalizing disorder alone was suspected in 58 (17%) children, externalizing disorder alone in 26 (7.7%), and attention􀁘defidt disorder alone in 5 (1.5%). Eight (2.4%) children were suspected to have both internalizing and attention􀁘defidt disorders, 4 (1.2%) children externalizing and attention􀁘defidt disorders, 22 (6.5%) children internalizing and externalizing disorders, and 15 (4.4%) children all three disorders. From 4 9 children who underwent depression screening using CDI, 15(30.6%) children were suspected to have depression. Conclusion After the Padang and Pariaman earthquake, we found 10% of subjects screened were suspected of having a developmental disorder. The most connnonbehavioral disorder found was internalizing disorder. Possible depression was found in 30.6% of children surveyed. Traumatized children are at risk for developing post traumatic stress disorder. 2011;5' :133-7].
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25

Mendelevich, V. D. "Problem of diagnostics of mental and behavioural disorders during the postmodernism era". Experimental Psychology (Russia) 8, n.º 3 (2015): 82–90. http://dx.doi.org/10.17759/exppsy.2015080308.

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In article theoretical, methodological and practical problems of diagnostics of mental and behavioural disorders during a postmodernism era are analyzed. The role of phenomenological and psychometric approaches is estimated. The conclusion that classification of mental and behavioral disorders (ICD and DSM) leads to washing out of borders between mental and behavioral norm and pathology is drawn.
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Adji, Budi Santoso, Soetjiningsih Soetjiningsih y Trisna Windiani. "Prevalence and factors associated with behavioral disorders in children with chronic health conditions". Paediatrica Indonesiana 50, n.º 1 (15 de agosto de 2016): 1. http://dx.doi.org/10.14238/pi50.1.2010.1-5.

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Background Patients suffering from chronic health conditions are compelled to strive to adjust in their communities. As a result, changes in their physical and psychosocial states are likely to occur. Several studies have described the prevalence of behavioral disorders in such patients. Pediatric Symptom Checklist (PSC) is a screening tool to detect behavioral disorders in children with chronic illness.Objective To determine the prevalence of and factors associated with behavioral disorders in children with chronic health conditions.Methods A cross sectional study was conducted on 4 to 14 year-old-children with chronic diseases in out-patient clinic, Sanglah Hospital from October to December 2008. PSC-17 was used to screen the presence of behavioral disorders. Bivariate analysis and logistic regression were used for analysis.Results One hundred and four children were included in this study. The prevalence of behavioral disorder based on PSC-17 score ≥ 15 was 37.5%. The study showed that duration of illness of more than 3 years had significant correlation with behavioral disorders, compared with the group of 3 month – 3 years duration of illness (OR 3.30, 95% CI 1.33 to 8.22, P = 0.010}.Conclusions Prevalence of behavioral disorders in children with chronic health condition is 37.5%. The duration of illness contributes to the manifestation of behavioral disorders in children with chronic health conditions. [Paediatr Indones. 2010;50:1-5].
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Swann, Alan C. "Mechanisms of impulsivity in bipolar disorder and related illness". Epidemiologia e Psichiatria Sociale 19, n.º 2 (junio de 2010): 120–30. http://dx.doi.org/10.1017/s1121189x00000828.

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SummaryAims – Impulsivity is a multifaceted aspect of behavior that is prominent in psychiatric disorders and has serious behavioral consequences. This paper reviews studies integrating behavioral and physiological mechanisms in impulsivity and their role in severity and course of bipolar and related disorders. Methods – This is a review of work that used questionnaire, human behavioral laboratory, and neurophysiological measurements of impulsivity or related aspects of behavior. Subjects included individuals with bipolar disorder, substance-use disorders, antisocial personality disorder, and healthy controls. Results – Models of impulsivity include rapid-response impulsivity, with inability to reflect or to evaluate a stimulus adequately before responding, and reward-based impulsivity, with inability to delay response for a reward. In normal subjects, rapid-response impulsivity is increased by yohimbine, which increases norepinephrine release. Impulsivity is increased in bipolar disorder, whether measured by questionnaire, by measures of rapid-response impulsivity, or by measures of ability to delay reward. While affective state has differential effects on impulsivity, impulsivity is increased in bipolar disorder regardless of affective state or treatment. Impulsivity, especially rapid-response, is more severe with a highly recurrent course of illness or with comorbid substance-use disorder, and with history of medically severe suicide attempt. In antisocial personality disorder, rapid-response impulsivity is increased, but rewardbased impulsivity is not. In general, impulsivity is increased more in bipolar disorder than in antisocial personality disorder. In combined bipolar disorder and antisocial personality disorder, increased impulsivity is associated with substance-use disorders and suicide attempts. Conclusions – Impulsivity is associated with severe behavioral complications of bipolar disorder, antisocial personality disorder, and substance-use disorders.
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Delgado-Ochoa, Martha A. "Behavioral Disorders or Parenting Deficit?" American Journal of Biomedical Science & Research 7, n.º 3 (12 de febrero de 2020): 208–12. http://dx.doi.org/10.34297/ajbsr.2020.07.001142.

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Macesic-Petrovic, Dragana, Dijana Lazic, Mirjana Japundza-Milisavljevic y Aleksandra Duric-Zdravkovic. "Behavioral Disorders and Drug Therapy". Open Conference Proceedings Journal 1, n.º 1 (1 de enero de 2010): 109–14. http://dx.doi.org/10.2174/22102892010010100109.

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Andrews, Gavin y Rocco Crino. "Behavioral Psychotherapy of Anxiety Disorders". Psychiatric Annals 21, n.º 6 (1 de junio de 1991): 358–67. http://dx.doi.org/10.3928/0048-5713-19910601-09.

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Millichap, J. Gordon. "Tics and Associated Behavioral Disorders". Pediatric Neurology Briefs 16, n.º 9 (1 de septiembre de 2002): 68. http://dx.doi.org/10.15844/pedneurbriefs-16-9-5.

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Lolas-Stepke, Fernando. "Advocacy and Mental/Behavioral Disorders". Acta bioethica 25, n.º 2 (diciembre de 2019): 283–84. http://dx.doi.org/10.4067/s1726-569x2019000200283.

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Hopko, Derek R., Sarah M. C. Robertson y C. W. Lejuez. "Behavioral activation for anxiety disorders." Behavior Analyst Today 7, n.º 2 (2006): 212–32. http://dx.doi.org/10.1037/h0100084.

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Hachinski, Vladimir. "Vascular Behavioral and Cognitive Disorders". Stroke 34, n.º 12 (diciembre de 2003): 2775. http://dx.doi.org/10.1161/01.str.0000107480.16433.4c.

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35

Marino, Ronald V. "Adolescent Psychiatric and Behavioral Disorders",. Journal of Developmental & Behavioral Pediatrics 20, n.º 5 (octubre de 1999): 387. http://dx.doi.org/10.1097/00004703-199910000-00018.

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Jr, William F. Northey, Karen C. Wells, Wendy K. Silverman y C. Everett Bailey. "CHILDHOOD BEHAVIORAL AND EMOTIONAL DISORDERS". Journal of Marital and Family Therapy 29, n.º 4 (octubre de 2003): 523–45. http://dx.doi.org/10.1111/j.1752-0606.2003.tb01693.x.

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37

Elkind, David. "Behavioral Disorders: A Postmodern Perspective". Behavioral Disorders 23, n.º 3 (mayo de 1998): 153–59. http://dx.doi.org/10.1177/019874299802300303.

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This article argues that, at any given time in history, our conceptions and theories of behavioral disorders reflect the basic social and cultural tenets that prevail. In support of this argument, the article describes how modern theories and conceptions of behavioral disorders were reflective of the modern beliefs in progress, universality, and regularity. Our contemporary conceptions and theories of behavioral disorders, however, mirror the postmodern themes of difference, particularity, and regularity. We are historical as well as social beings, and it is well to be aware of how much our science echoes themes of our contemporary society and culture.
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38

Gumpel, Thomas P. "Behavioral Disorders in the School". Journal of Emotional and Behavioral Disorders 16, n.º 3 (septiembre de 2008): 145–62. http://dx.doi.org/10.1177/1063426607310846.

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39

Frank, Alan R., Patricia L. Sitlington y Rori R. Carson. "Young Adults with Behavioral Disorders". Journal of Emotional and Behavioral Disorders 3, n.º 3 (julio de 1995): 156–64. http://dx.doi.org/10.1177/106342669500300305.

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40

McGee, James P. y Kathleen T. McGee. "Behavioral Treatment of Eating Disorders". Occupational Therapy in Mental Health 6, n.º 1 (26 de agosto de 1986): 15–25. http://dx.doi.org/10.1300/j004v06n01_02.

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41

Fischer, Elizabeth y Alan H. Silverman. "Behavioral Treatment of Feeding Disorders". Perspectives on Swallowing and Swallowing Disorders (Dysphagia) 14, n.º 3 (octubre de 2005): 19–24. http://dx.doi.org/10.1044/sasd14.3.19.

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42

McLoughlin, James A. y Michael Nall. "Allergies and Learning/Behavioral Disorders". Intervention in School and Clinic 29, n.º 4 (marzo de 1994): 198–207. http://dx.doi.org/10.1177/105345129402900403.

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43

Jeste, Shafali Spurling. "Neurodevelopmental Behavioral and Cognitive Disorders". CONTINUUM: Lifelong Learning in Neurology 21 (junio de 2015): 690–714. http://dx.doi.org/10.1212/01.con.0000466661.89908.3c.

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44

Nelson-Gray, R. O. y R. F. Farmer. "Behavioral assessment of personality disorders". Behaviour Research and Therapy 37, n.º 4 (abril de 1999): 347–68. http://dx.doi.org/10.1016/s0005-7967(98)00142-9.

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45

Gale, Elliot N. "Behavioral Approaches to Temporomandibular Disorders". Annals of Behavioral Medicine 8, n.º 4 (noviembre de 1986): 11–16. http://dx.doi.org/10.1207/s15324796abm0804_2.

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46

Marks, Isaac. "Behavioral Psychotherapy for Anxiety Disorders". Psychiatric Clinics of North America 8, n.º 1 (marzo de 1985): 25–35. http://dx.doi.org/10.1016/s0193-953x(18)30706-8.

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47

Pinter, Michaela M. "Behavioral neurology of movement disorders". Electroencephalography and Clinical Neurophysiology 98, n.º 1 (enero de 1996): 87. http://dx.doi.org/10.1016/s0013-4694(96)90046-2.

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48

Maćešić-Petrović, Dragana, Mirjana Japundža-Milisavljević y Aleksandra Djuric-Zdravkovic. "Intellectual functioning and behavioral disorders". ADHD Attention Deficit and Hyperactivity Disorders 1, n.º 1 (21 de abril de 2009): 25–31. http://dx.doi.org/10.1007/s12402-009-0005-3.

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49

Chang, Betty. "Respiratory Disorders and Behavioral Medicine". Chest 126, n.º 1 (julio de 2004): 322–23. http://dx.doi.org/10.1016/s0012-3692(15)32949-4.

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50

Franklin, Shana A., Michael R. Walther y Douglas W. Woods. "Behavioral Interventions for Tic Disorders". Psychiatric Clinics of North America 33, n.º 3 (septiembre de 2010): 641–55. http://dx.doi.org/10.1016/j.psc.2010.04.013.

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