Browsing by Author "Aksu H."
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Item Attention deficit hyperactivity disorder and other disruptive behavior disorders are risk factors for recurrent epistaxis in children: A prospective case-controlled study(Turkish Journal of Pediatrics, 2016) Özgür E.; Aksu H.; Gürbüz-Özgür B.; Başak H.S.; Eskiizmir G.The aim of this study was to investigate the frequency of attention deficit hyperactivity disorder (ADHD) and other disruptive behavior disorders in children with recurrent epistaxis (RE). Children aged between 6-11 years were enrolled according to presence (n=34) and absence (n=103) of RE. Turgay DSM-IV-Based Child and Adolescent Disruptive Behavior Disorders Screening and Rating Scale was applied to parents. Moreover, Schedule for Affective Disorders and Schizophrenia for School-Age Children Present and Lifetime Version was performed. Oppositional defiant disorder (ODD) and ADHD were determined in 17.6% and 32.4% of patients, respectively. When psychiatric diagnoses between both groups were compared, statistically significant differences were found in terms of ADHD and ODD (p=0.028 and p=0.003). In children with RE, the frequency of ADHD and ODD are higher than children without RE. A referral to a child psychiatrist should be considered, if a child with RE also has symptoms of increased activity, inattention and/or body-injurious behaviors. © 2016, Turkish Journal of Pediatrics. All rights reserved.Item Turkish validity and reliability of quality of life in autism questionnaire-parent version; [Otizmde yaşam kalitesi anketi anne-baba sürümünün türkçe geçerliliği ve güvenilirliği](Cukurova University, Faculty of Medicine, 2017) Gürbüz Özgür B.; Aksu H.; Eser E.Objective: The aim of this study was to investigate Turkish reliability and validity of Quality of Life in Autism Questionnaire-Parent Version (QoLA) which is an autism spectrum disorder (ASD) specific quality of life scale. Methods: A total of 162 cases aged between 2-18 years diagnosed with pervaisive developmental disorders according to DSM-IV-TR criteria and their parents enrolled to study. QoLA, Autism Behavior Checklist, KINDL-parent version, WHOQOL-BREF, sociodemographic, and Clinical Global Impression Scale were applied to caregivers. Item-total correlation, ceilig/floor effect, internal consistency and test-retest were used for reliability analysis. Construct and criterion validity were applied for validity analysis. Exploratory factor analysis was conducted using an exploratory approach to create an idea of the possible dimensions of part A and B which are indexes (not dimensions) in the original version. Results: Thirty-four of the patients (21%) were female and 128 (79%) were male. The mean age of all patients was 6.3±4.0 years. Cronbach’s alpha coefficient was 0.928 for QoLA Part A and 0.944 for Section B. Intraclass correlation coefficient was detected 0.68 and 0.76 for Part A and B in test-retest, respectively. Positive correlation was found between Part A scores and all dimensions of WHOQOL-BREF as well as Part B scores and school, friends, other and total scores of KINDL-parent proxy version. As the severity of the disease increased, relevant sections scores of the questionnaire was found to be worsening according to the criterion validity (sensi-tivity) analysis results. Six dimensions for Part A and 3 dimensions for Part B was detected by using exploratory factor analysis. Conclusion: The psychometric properties of the Turkish form of QoLA is highly valid and reliable. When examining distrubitons of items in 6 dimensions of Part A, dimensions can be named as independence, psychological-emotional well-being, social relations and environment, physical and economic and financial situation. For Part B, it was observed that 3 dimensions attributed DSM-5 diagnostic criteria of ASD. QoLA is suggested to use to evaluate quality of life of parents with ASD diagnosed children and to detect the effects of treatment interventions on quality of life. © 2017, Cukurova University, Faculty of Medicine. All rights reserved.Item Factors affecting quality of life of caregivers of children diagnosed with autism spectrum disorder(Wolters Kluwer Medknow Publications, 2018) Özgör B.G.; Aksu H.; Eser E.Context: Since autism spectrum disorder (ASD) is a lifelong disease and because of its nature, the negative effects of the disease on the quality of life (QoL) of caregivers as well as patients are incontrovertible. Aims: It was aimed to evaluate the effect of the variables related to both parents and children on the QoL scores of the parents of the children with ASD. Settings and Design: This is a causality analysis study. Subjects and Methods: Questionnaire on sociodemographic/disease-related variables, QoL in Autism Questionnaire-Parent Version (QoLA-P), autism behavior checklist and Clinical Global Impression scale were assessed of 162 patients with ASD. Statistical Analysis Used: Unpaired t-Test, Mann-Whitney U test, Kruskal-Wallis test, and one-way ANOVA test were used for comparing groups. The parameters found to be statistically significant for QoLA-P in different analyses were included as the independent variable in the logistic regression analysis. The backward (variable elimination) model was selected as the model in the analysis. Results: The causality has been established may be stated as the severity of autism, the presence of psychiatric disorder in the mother/father, attendance of the child at school, duration since the diagnosis of autism, and the child's medication use. Conclusions: Autism affects the QoL of caregivers. The intervention of treatment by considering the factors that affect the QoL positively or negatively may increase the QoL of caregivers. © 2018 Medknow. All rights reserved.Item Prevalence of Childhood Affective disorders in Turkey: An epidemiological study(Elsevier B.V., 2018) Karacetin G.; Arman A.R.; Fis N.P.; Demirci E.; Ozmen S.; Hesapcioglu S.T.; Oztop D.; Tufan A.E.; Tural U.; Aktepe E.; Aksu H.; Ardic U.A.; Basgul S.; Bilac O.; Coskun M.; Celik G.G.; Demirkaya S.K.; Dursun O.B.; Durukan I.; Fidan T.; Gencoglan S.; Gokcen C.; Gokten E.S.; Gorker I.; Gormez V.; Gundogdu O.Y.; Gurkan C.K.; Herguner S.; Kandemir H.; Kilic B.G.; Kilincaslan A.; Mutluer T.; Nasiroglu S.; Ozcan O.O.; Ozturk M.; Sapmaz S.Y.; Suren S.; Sahin N.; Tahiroglu A.Y.; Toros F.; Unal F.; Vural P.; Yazici I.P.; Yazici K.U.; Yildirim V.; Yulaf Y.; Yuce M.; Yuksel T.; Akdemir D.; Altun H.; Ayik B.; Bilgic A.; Bozkurt O.H.; Cakir E.D.; Ceri V.; Demir N.U.; Dinc G.; Irmak M.Y.; Karaman D.; Kinik M.F.; Mazlum B.; Memik N.C.; Ozdemir D.F.; Sinir H.; Tasdelen B.I.; Taskin B.; Ugur C.; Uran P.; Uysal T.; Uneri O.S.; Yilmaz S.; Yilmaz S.S.; Acikel B.; Aktas H.; Alaca R.; Alic B.G.; Almbaidheen M.; Ari F.P.; Aslan C.; Atabay E.; Ay M.G.; Aydemir H.; Ayranci G.; Babadagi Z.; Bayar H.; Bayhan P.C.; Bayram O.; Bektas N.D.; Berberoglu K.K.; Bostan R.; Cakan Y.; Canli M.A.; Cansiz M.A.; Ceylan C.; Coskun N.; Coskun S.; Demir I.; Demir N.; Demirdogen E.Y.; Dogan B.; Donmez Y.E.; Donder F.; Efe A.; Eray S.; Erbilgin S.; Erden S.; Ersoy E.G.; Eseroglu T.; Firat S.K.; Gok E.E.; Goksoy S.C.; Guler G.; Gules Z.; Gunay G.; Gunes S.; Gunes A.; Guven G.; Horozcu H.; Irmak A.; Isik U.; Kahraman O.; Kalayci B.M.; Karaaslan U.; Karadag M.; Kilic H.T.; Kilicaslan F.; Kinay D.; Koc E.B.; Kocael O.; Mutlu R.K.; San Z.; Nalbant K.; Okumus N.; Ozbek F.; Ozdemir F.A.; Ozdemir H.; Ozgur B.G.; Ozkan S.; Ozyurt E.Y.; Polat B.; Polat H.; Sekmen E.; Sertcelik M.; Sevgen F.H.; Sevince O.; Shamkhalova U.; Suleyman F.; Simsek N.E.; Tanir Y.; Tekden M.; Temtek S.; Topal M.; Topal Z.; Turk T.; Ucar H.N.; Ucar F.; Uygun D.; Uzun N.; Vatansever Z.; Yazgili N.G.; Yildiz D.M.; Yildiz N.; Ercan E.S.Aim: To determine the prevalence of affective disorders in Turkey among a representative sample of Turkish population. Methods: This study was conducted as a part of the “The Epidemiology of Childhood Psychopathology in Turkey” (EPICPAT-T) Study, which was designed by the Turkish Association of Child and Adolescent Mental Health. The inclusion criterion was being a student between the second and fourth grades in the schools assigned as study centers. The assessment tools used were the K-SADS-PL, and a sociodemographic form that was designed by the authors. Impairment was assessed via a 3 point-Likert type scale independently rated by a parent and a teacher. Results: A total of 5842 participants were included in the analyses. The prevalence of affective disorders was 2.5 % without considering impairment and 1.6 % when impairment was taken into account. In our sample, the diagnosis of bipolar disorder was lacking, thus depressive disorders constituted all the cases. Among depressive disorders with impairment, major depressive disorder (MDD) (prevalence of 1.06%) was the most common, followed by dysthymia (prevalence of 0.2%), adjustment disorder with depressive features (prevalence of 0.17%), and depressive disorder-NOS (prevalence of 0.14%). There were no statistically significant gender differences for depression. Maternal psychopathology and paternal physical illness were predictors of affective disorders with pervasive impairment. Conclusion: MDD was the most common depressive disorder among Turkish children in this nationwide epidemiological study. This highlights the severe nature of depression and the importance of early interventions. Populations with maternal psychopathology and paternal physical illness may be the most appropriate targets for interventions to prevent and treat depression in children and adolescents. © 2018Item The prevalence of childhood psychopathology in Turkey: a cross-sectional multicenter nationwide study (EPICPAT-T)(Taylor and Francis Ltd, 2019) Ercan E.S.; Polanczyk G.; Akyol Ardıc U.; Yuce D.; Karacetın G.; Tufan A.E.; Tural U.; Aksu H.; Aktepe E.; Rodopman Arman A.; Başgül S.; Bılac O.; Coşkun M.; Celık G.G.; Karakoc Demırkaya S.; Dursun B.O.; Durukan İ.; Fidan T.; Perdahlı Fiş N.; Gençoğlan S.; Gökçen C.; Görker I.; Görmez V.; Gündoğdu Ö.Y.; Gürkan C.K.; Hergüner S.; Tural Hesapçıoğlu S.; Kandemir H.; Kılıç B.G.; Kılınçaslan A.; Mutluer T.; Nasiroğlu S.; Özel Özcan Ö.; Öztürk M.; Öztop D.; Yalın Sapmaz S.; Süren S.; Şahin N.; Yolga Tahıroglu A.; Toros F.; Ünal F.; Vural P.; Perçinel Yazıcı İ.; Yazıcı K.U.; Yıldırım V.; Yulaf Y.; Yüce M.; Yüksel T.; Akdemir D.; Altun H.; Ayık B.; Bilgic A.; Hekim Bozkurt Ö.; Demirbaş Çakır E.; Çeri V.; Üçok Demir N.; Dinç G.; Irmak M.Y.; Karaman D.; Kınık M.F.; Mazlum B.; Memik N.Ç.; Foto Özdemir D.; Sınır H.; Ince Taşdelen B.; Taşkın B.; Uğur Ç.; Uran P.; Uysal T.; Üneri Ö.; Yilmaz S.; Seval Yılmaz S.; Açıkel B.; Aktaş H.; Alaca R.; Alıç B.G.; Almaidan M.; Arı F.P.; Aslan C.; Atabay E.; Ay M.G.; Aydemir H.; Ayrancı G.; Babadagı Z.; Bayar H.; Çon Bayhan P.; Bayram Ö.; Dikmeer Bektaş N.; Berberoğlu K.K.; Bostan R.; Arıcı Canlı M.; Cansız M.A.; Ceylan C.; Coşkun N.; Coşkun S.; Çakan Y.; Demir İ.; Demir N.; Yıldırım Demirdöğen E.; Doğan B.; Dönmez Y.E.; Dönder F.; Efe A.; Eray Ş.; Erbilgin S.; Erden S.; Ersoy E.G.; Eseroğlu T.; Kına Fırat S.; Eynallı Gök E.; Güler G.; Güles Z.; Güneş S.; Güneş A.; Günay G.; Gürbüz Özgür B.; Güven G.; Çelik Göksoy Ş.; Horozcu H.; Irmak A.; Işık Ü.; Kahraman Ö.; Kalaycı B.M.; Karaaslan U.; Karadağ M.; Kılıc H.T.; Kılıçaslan F.; Kınay D.; Kocael Ö.; Bulanık Koç E.; Kadir Mutlu R.; Lushi-Şan Z.; Nalbant K.; Okumus N.; Özbek F.; Akkuş Özdemir F.; Özdemir H.; Özkan S.; Yıldırım Özyurt E.; Polat B.; Polat H.; Sekmen E.; Sertçelik M.; Sevgen F.H.; Sevince O.; Süleyman F.; Shamkhalova Ü.; Eren Şimşek N.; Tanır Y.; Tekden M.; Temtek S.; Topal M.; Topal Z.; Türk T.; Uçar H.N.; Uçar F.; Uygun D.; Uzun N.; Vatansever Z.; Yazgılı N.G.; Miniksar Yıldız D.; Yıldız N.Aim: The aim of this study was to determine the prevalence of childhood psychopathologies in Turkey. Method: A nation-wide, randomly selected, representative population of 5830 children (6–13 years-old) enrolled as a 2nd,3rd or 4th grade student in 30 cities were evaluated for presence of a psychiatric or mental disorder by a Sociodemographic Form, Kiddie Schedule for Affective Disorders and Schizophrenia for School Age Children-Present and Lifetime Version (K-SADS-PL), and DSM-IV-Based Screening Scale for Disruptive Behavior Disorders in Children and Adolescents scales. Impairment criterion was assessed via a 3 point-Likert scale by the parent and the teacher independently. Results: Overall prevalence of any psychopathology was 37.6% without impairment criterion, and 17.1% with impairment criterion. Attention-deficit hyperactivity disorder was the most frequent diagnosis, followed by anxiety (19.5% and 16.7% without impairment, 12.4% and 5.3% with impairment, respectively). Lower education level and presence of a physical or psychiatric problem of the parents were independent predictors of any psychopathology of the offspring. Conclusion: This is the largest and most comprehensive epidemiological study to determine the prevalence of psychopathologies in children and adolescents in Turkey. Our results partly higher than, and partly comparable to previous national and international studies. It also contributes to the literature by determining the independent predictors of psychopathologies in this age group. © 2019, © 2019 The Nordic Psychiatric Association.Item Validity and reliability of the Turkish version of the knowledge about childhood autism among health workers questionnaire(Taylor and Francis Ltd., 2019) Gürbüz Özgür B.; Aksu H.; Eser E.Objective: The aim of this study is to present the psychometric properties of the Turkish version of the knowledge about childhood autism among health workers (KCAHW) questionnaire. Methods: Three hundred fifteen primary health care facility workers and 28 child and adolescent mental health professionals were enrolled in this study. Participants filled out socio-demographic data forms and the KCAHW. Reliability analyses consisted of internal consistency and test–retest reliability. For validity analysis, construct validity (confirmatory factor analysis -CFA) and criterion validity were used. Results: The mean KCAHW questionnaire score was 13.83 ± 2.55. The floor effects in all domains were below 15%, the ceiling effects were over 15% in overall score and in Domain 4. Intraclass correlation coefficient and the Kuder Richardson 21 values were 0.83 and 0.683, respectively; All goodness of fit indices generated by CFA were found satisfactory (Comparative fit index = 0.79; Root mean square error of approximation = 0.056, and chi-square/degree of freedom = 1.91). Being a physician, being a CAMH specialist, having mental health clinic experience, having done a child psychiatry internship, knowing someone diagnosed with autism, follow-up experience of a patient with autism, having previous autism training, and the perception of adequate knowledge about autism, significantly increased the KCAHW scores (p < 0.001). Conclusion: The Turkish version of the KCAHW questionnaire is reliable (in terms of test-retest and internal consistency) and valid (sensitive some known/expected external criteria). Due to the insufficient internal consistency in Domain 4, the scores received from Domain 4 should be evaluated with caution. © 2019, © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.Item Effect of Impairment on the Prevalence and Comorbidities of Attention Deficit Hyperactivity Disorder in a National Survey: Nation-Wide Prevalence and Comorbidities of ADHD(SAGE Publications Inc., 2022) Ercan E.S.; Unsel-Bolat G.; Tufan A.E.; Karakoc Demirkaya S.; Bilac O.; Celik G.; Kılıç B.G.; Akyol Ardic U.; Yalin Sapmaz S.; Aksu H.; Yolga Tahiroglu A.; Karacetin G.; Tural U.; Aktepe E.; Rodopman Arman A.; Başgül S.; Coşkun M.; Dursun O.B.; Durukan İ.; Perdahli Fiş N.; Gençoğlan S.; Gökçen C.; Sarı Gokten E.; Görker I.; Görmez V.; Yıldız Gündoğdu Ö.; Hesapçioğlu S.T.; Kandemir H.; Mutluer T.; Nasiroğlu S.; Özcan Ö.; Şahin N.; Toros F.; Perçinel Yazici İ.; Yazici K.U.; Yulaf Y.; Yüksel T.; Bilgic A.; Altun H.; Akdemir D.; Mazlum B.; Çakın Memik N.; Foto Özdemir D.; Üneri Ö.; Ünal F.Objective: This study aimed to determine the prevalence and comorbidities of attention-deficit hyperactivity disorder (ADHD) by evaluating a large-scale nation-wide sample of children. Method: The inclusion criterion was being enrolled as a 2nd, 3rd, or 4th-grade student. A semi-structured diagnostic interview (K-SADS-PL), DSM-IV-Based Screening Scale for Disruptive Behavior Disorders, and assessment of impairment (by both parents and teachers) were applied to 5,842 participants. Results: The prevalence of ADHD was 19.5% without impairment and 12.4% with impairment. Both ADHD with and without impairment groups had similar psychiatric comorbidity rates except for oppositional defiant disorder (ODD) and conduct disorder (CD) diagnoses. Impairment in the ADHD group resulted in significantly higher ODD and CD diagnoses. Conclusion: Even when impairment is not described, other psychiatric disorders accompany the diagnosis of ADHD and may cause impairment in the future. Impairment in the diagnosis of ADHD significantly increases the likelihood of ODD and CD. © ©The Author(s) 2021.Item Prevalence, comorbidities and mediators of childhood anxiety disorders in urban Turkey: a national representative epidemiological study(Springer Science and Business Media Deutschland GmbH, 2023) Mutluer T.; Gorker I.; Akdemir D.; Ozdemir D.F.; Ozel O.O.; Vural P.; Tufan A.E.; Karacetin G.; Arman A.R.; Fis N.P.; Demirci E.; Ozmen S.; Hesapcioglu S.T.; Oztop D.; Tural U.; Aktepe E.; Aksu H.; Ardic U.A.; Basgul S.; Bilac O.; Coskun M.; Celik G.G.; Demirkaya S.K.; Dursun O.B.; Durukan I.; Fidan T.; Gokcen C.; Gormez V.; Gundogdu O.Y.; Herguner S.; Kandemir H.; Kilic B.G.; Kilincaslan A.; Nasiroglu S.; Sapmaz S.Y.; Sahin N.; Tahiroglu A.Y.; Toros F.; Unal F.; Yazici I.P.; Yazici K.U.; Isik U.; Ercan E.S.Purpose: The aim of this study is to evaluate the prevalence of anxiety disorders, its correlation with sociodemographic characteristics, its comorbidities with other psychiatric disorders and its predictors in school-aged children. Methods: This study is part of a representative, multi-centered national study that is planned by the Turkish Association of Child and Adolescent Mental Health to evaluate the prevalence of psychopathology among elementary school students in Turkey between the years 2014–2015. Children are screened via Kiddie Schedule for Affective Disorders and Schizophrenia for School Age Children Present and Lifetime Version. Impairment is assessed by a 3-point Likert type scale independently by the parent and the teacher. The final sample included 5842 children with the mean age of 8.7 years. Results: The prevalence of any anxiety disorder without considering impairment is 16.7% and considering impairment is 5.2% in children according to our study. We found significant differences for comorbid Attention Deficit Hyperactivity Disorder, Disruptive Behavior Disorder, Mood Disorders, Tic Disorders, Obsessive Compulsive Disorder, Enuresis Nocturna, Encopresis, and Intellectual Disability. Having a history of paternal physical disorder, living in the regions of Marmara, Mediterranean and Black Sea were found to be the main predictors of having childhood anxiety disorders according to the logistic regression analysis. Conclusion: Better understanding of childhood anxiety disorders, comorbid conditions and predictors will result in earlier diagnosis and more appropriate treatment. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.