Skip to main content
Hauptrubriken
CME Facharzt-Training Webinare Zeitschriften Bücher e.Medpedia Podcast
Service
Jobbörse Info & Hilfe
Fachgebiete
Anästhesiologie Allgemeinmedizin Arbeitsmedizin Augenheilkunde Chirurgie Dermatologie Gynäkologie und Geburtshilfe HNO Innere Medizin Kardiologie Neurologie Onkologie und Hämatologie Orthopädie und Unfallchirurgie Pädiatrie Pathologie Psychiatrie Radiologie Rechtsmedizin Urologie Zahnmedizin
Themen
Klimawandel und Gesundheit Neues aus dem Markt COVID-19 Praxis und Beruf Seltene Erkrankungen GOÄ & EBM Panorama
Sammlungen
Kasuistiken Algorithmen & Infografiken Blickdiagnosen Arthropedia FlapFinder (für Dermatochirurgen) Videos Kongressberichterstattung Medizin für Apothekerinnen und Apotheker Für Ärztinnen und Ärzte in Weiterbildung Für Medizinstudierende

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Konkret geht es um den Diabetes-Patienten mit kardiovaskulären Erkrankungen oder Risiken, die Herzinsuffizienz sowie die kardiovaskuläre Primär- und Sekundärprävention. Sind Sie hier schon auf dem neuesten Stand? Unsere Experten beleuchten, wo und warum das bisherige Procedere geändert werden soll und was in der Praxis sinnvoll ist. Holen Sie sich Ihr Update und 2 CME-Punkte beim MMW-Webinar am 24. April von 17.30 bis 19 Uhr. 
Erweiterte Suche
Anmelden
nach oben
The Journal of Behavioral Health Services & Research
Erschienen in: The Journal of Behavioral Health Services & Research 3/2016

15.08.2014

Differential Effects of Mental Health Problems Among Truant Youths

verfasst von: Richard Dembo, PhD, Jennifer Wareham, PhD, James Schmeidler, PhD, Rhissa Briones-Robinson, MA, Ken C. Winters, PhD

Erschienen in: The Journal of Behavioral Health Services & Research | Ausgabe 3/2016

Einloggen, um Zugang zu erhalten

Abstract

Research indicates at-risk youth are more likely to experience emotional and psychological problems. Young people who are often truant from school represent a group of at-risk youth, but one for which mental health issues are understudied. This study examined heterogeneity of mental health problems among a sample of 300 truant adolescents using latent class analysis (LCA). LCA indicated the sample of truants was best represented by four latent subgroups of youth with low mental health problems; high depression, low mania; high mania, low depression; and high depression and mania. These subgroups were examined in relation to sociodemographic and psychosocial measures at baseline and after truancy offenses. Results indicated general and unique differences in these covariates across the four latent classes. Service and practice implications of better understanding mental health issues of truant youth are discussed.
Literatur
1.
2.
National Center for School Engagement. Lessons Learned from Four Truancy Demonstration Sites. Denver, CO: Author, 2006.
3.
4.
5.
Garry EM. Truancy, first step in a lifetime of problems. Juvenile Justice Bulletin, vol. 76, Washington, DC: U.S. Department of Justice, Office of Juvenile Justice Delinquency Prevention, 2001.
6.
Caldas SJ. Reexamination of input and process factor effects on public school achievement. Journal of Educational Research 1993; 86: 206-214.
7.
Lamdin DJ. Evidence of student attendance as an independent variable in education production functions. Journal of Educational Research 1996; 89: 155-162.
8.
Bridgeland J, Dilulio JJ, Morison KB. The Silent Epidemic: Perspectives of High School Dropouts. A report by Civic Enterprises in association with Peter D. Hart Research Associates for the Bill & Melinda Gates Foundation. Seattle, WA: The Bill & Melinda Gates Foundation, 2006.
9.
Baker ML, Sigmon JN, Nugent ME. Truancy reduction: Keeping students in school. Juvenile Justice Bulletin. Washington, DC: U.S. Department of Justice, Office of Juvenile Justice Delinquency Prevention, 2001.
10.
Kearney CA, Silverman WK. Family environment of youngsters with school refusal behavior: A synopsis with implications for assessment and treatment. American Journal of Family Therapy 1995; 23: 59-72.
11.
Diebolt A, Herlache L. The School Psychologist as a Consultant in Truancy Prevention. Paper presented at the Annual Meeting of the National Association of School Psychologists, Dallas, TX, 1991.
12.
Egger HL, Costello EJ, Angold A. School refusal and psychiatric disorders: A community study. Journal of the American Academy of Child & Adolescent Psychiatry 2003; 7: 797-807.
13.
Dembo R, Briones-Robinson R, Barrett K, et al. Mental health, substance use, and delinquency among truant youths in a brief intervention project: A longitudinal study. Journal of Emotional and Behavioral Disorders 2013; 21: 176-192.
14.
Soldz S, Huyser DJ, Dorsey E. The cigar as a drug delivery device: Youth use of blunts. Addiction 2003; 98: 1379-1386.
15.
Henry KL, Huizinga DH. School‐related risk and protective factors associated with truancy among urban youth placed at risk. Journal of Primary Prevention 2007; 28: 505‐519.
16.
Henry KL, Thornberry TP, Huizinga DH. A discrete-time survival analysis of the relationship between truancy and the onset of marijuana use. Journal of Studies on Alcohol and Drugs 2009; 70: 5-15.
17.
Loeber R, Farrington DP. Young children who commit crime: Epidemiology, developmental origins, risk factors, early interventions, and policy implications. Development and Psychopathology 2000; 12: 737-762.
18.
Puzzanchera C, Stahl AL, Finnegan TA, et al. Juvenile Court Statistics 1998. Washington, DC: U.S. Department of Justice, Office of Justice Programs, Office of Juvenile Justice Delinquency Prevention, 2003.
19.
Schroeder J, Chaisson R, Pogue R. Pathways to death row for America’s disabled youth: Three case studies driving reform. Journal of Youth Studies 2004; 7: 451-472.
20.
Dryfoos JG. Adolescents at Risk: Prevalence and Prevention. New York, NY: Oxford University Press, 1990.
21.
Catalano RF, Hawkins JD, Wells EA, et al. Evaluation of the effectiveness of adolescent drug abuse treatment, assessment of risks for relapse, and promising approaches for relapse prevention. The International Journal of Addictions 1991; 25: 1085-1140.
22.
Robins LN, Ratliff KS. Long-Range Outcomes Associated with School Truancy. Publication No. ED152893, Washington, DC: Public Health Service, U.S. Department of Health, Education, and Welfare, 1978.
23.
Snyder HN, Sickmund M. Juvenile Offenders and Victims: A National Report. Washington, DC: Office of Juvenile Justice and Delinquency Prevention, 1995.
24.
Hersov L. School refusal. In: M Rutter, L Hersov (Eds). Child and Adolescent Psychiatry Modern Approaches, 2nd ed. Oxford: Blackwell Scientific Publications, 1985, pp. 382-399.
25.
Kearney CA, Silverman WK. A preliminary analysis of a functional model of assessment and treatment for school refusal behavior. Behavior Modification 1990; 14: 344-360.
26.
Kearney CA, Silverman WK. The evolution and reconciliation of taxonomic strategies for school refusal behavior. Clinical Psychology: Science and Practice 1996; 3: 339-354.
27.
Berg I, Butler A, Franklin J, et al. DSM-III-R disorders, social factors, and management of school attendance problems in the normal population. Journal of Child Psychology and Psychiatry and Allied Disciplines 1993; 34: 1187-1203.
28.
Berg I, Casswell G, Goodwin A, et al. Classification of severe school attendance problems. Psychological Medicine 1985; 15: 157-165.
29.
Kearney CA. Identifying the function of school refusal behavior: A revision of the School Refusal Assessment Scale. Journal of Psychopathology and Behavioral Assessment 2002; 24: 235-245.
30.
Kearney CA, Albano AM. The functional profiles of school refusal behavior: Diagnostic aspects. Behavior Modification 2004; 28: 147-161.
31.
McShane G, Walter G, Rey JM. Characteristics of adolescents with school refusal. Australian and New Zealand Journal of Psychiatry 2001; 35: 822-826.
32.
Arseneault L, Moffitt TE, Caspi A, et al. Mental disorders and violence in a total birth cohort: Results from the Dunedin Study. Archives of General Psychiatry 2000; 57(10): 979-986.
33.
Brennan PA, Mednick SA, Hodgins S. Major mental disorders and criminal violence in a Danish birth cohort. Archives of General Psychiatry 2000; 57(5): 494-500.
34.
Doorn S van, Jansen LM, Vermeiren RR, et al. Psychopathology of adolescent detained versus psychiatric inpatient females. Psychiatry Research 2012; 195(3): 129-33.
35.
Fazel S, Doll H, Langstrom N. Mental disorders among adolescents in juvenile detention and correctional facilities: a systematic review and metaregression analysis of 25 surveys. Journal of the American Academy of Child and Adolescent Psychiatry 2008; 47(9): 1010-1019.
36.
Reef J, Diamantopoulou S, van Meurs I, et al. Developmental trajectories of child to adolescent externalizing behavior and adult DSM-IV disorder: results of a 24-year longitudinal study. Social Psychiatry and Psychiatric Epidemiology 2011; 46(12): 1233-41.
37.
Teplin LA, Welty LJ, Abram KM, et al. Prevalence and persistence of psychiatric disorders in youth after detention: A prospective longitudinal study. Archives of General Psychiatry 2012; 69(10): 1031-1043.
38.
Tiihonen J, Isohanni M, Rasanen P, et al. Specific major mental disorders and criminality: A 26-year prospective study of the 1966 northern Finland birth cohort. American Journal of Psychiatry 1997; 154(6): 840-845.
39.
Vincent GM, Grisso T, Terry A, et al. Sex and race differences in mental health symptoms in juvenile justice: The MAYSI-2 national meta-analysis. Journal of the American Academy of Child and Adolescent Psychiatry 2008; 47(3): 282-90.
40.
Connor DF. Aggression and Antisocial Behavior in Children and Adolescents: Research and Treatment. New York: Guilford Press, 2002.
41.
Birmaher B, Ryan ND, Williamson DE, et al. Childhood and adolescent depression: A review of the past 10 years. Part I. Journal of the American Academy of Child and Adolescent Psychiatry 1996; 29: 914-918.
42.
Knox M, King C, Hanna GL, et al. Aggressive behavior in clinically depressed adolescents. Journal of the American Academy of Child and Adolescent Psychiatry 2000; 29: 611-618.
43.
Pelkonen M, Marttunen M, Kaprio J, et al. Adolescent risk factors for episodic and persistent depression in adulthood. A 16-year prospective follow-up study of adolescents. Journal of Affective Disorders 2008; 106(1-2): 123-31.
44.
Vaughn MG, Freedenthal S, Jenson JM, et al. Psychiatric symptoms and substance use among juvenile offenders: A latent profile investigation. Criminal Justice and Behavior 2007; 34: 1296-1312.
45.
Vaughn MG, Wallace JM, Davis LE, et al. Variations in mental health problems, substance use, and delinquency between African-American and Caucasian juvenile offenders: Implications for reentry services. International Journal of Comparative Criminology 2008; 52: 311-329.
46.
Fergusson DM, Lynskey MT, Horwood LJ. Attentional difficulties in middle childhood and psychosocial outcomes in young adulthood. The Journal of Child Psychology and Psychiatry 1997; 38(6): 633-644.
47.
Moffitt TE, Silva PA. Self-reported delinquency, neuro-psychological deficit, and history of attention deficit disorder. Journal of Abnormal Child Psychology 1988; 16: 553-569.
48.
Rapport MD, Chung K. Attention deficit hyperactivity disorder. In: M Hersen, RT Ammerman (Eds). Advanced Abnormal Child Psychology. Mahwah, NJ: Lawrence Erlbaum Associates, 2000, pp. 413-440.
49.
Angold A, Costello EJ, Erkanli A. Comorbidity. Journal of Child Psychology and Psychiatry and Allied Disciplines 1999; 40: 57-87.
50.
Hinshaw SP, Lahey B, Hart L. Issues of taxonomy and comorbidity in the development of conduct disorder. Development and Psychopathology 1993; 5: 31-49.
51.
Waschbusch DA. A meta-analytic examination of comorbid hyperactive/impulsive/inattention problems and conduct problems. Psychological Bulletin 2002; 128: 118-150.
52.
Teplin LA, Abram KM, McClelland GM, et al. Psychiatric Disorders of Youth in Detention. Juvenile Justice Bulletin. Washington, DC: U.S. Department of Justice, Office of Juvenile Justice and Delinquency Prevention, 2006.
53.
Abram KM, Teplin LA, McClelland GM, et al. Comorbid psychiatric disorders in youth in juvenile detention. Archives of General Psychiatry 2003; 60: 1097-1108.
54.
Molina BSG, Pelham WE. Childhood predictors of adolescent substance use in a longitudinal study of children with ADHD. Journal of Abnormal Psychology 2003; 112(3): 497-507.
55.
Sibley MH, Pelham WE, Molina BS, et al. The delinquency outcomes of boys with ADHD with and without comorbidity. Journal of Abnormal Child Psychology 2011; 39(1): 21-32.
56.
Satterfield JH, Schell A. A prospective study of hyperactive boys with conduct problems and normal boys: Adolescent and adult criminality. Journal of the American Academy of Child and Adolescent Psychiatry 1997; 36(12): 1726-35.
57.
Moffitt TE, Silva PA. Neuropsychological deficit and self-reported delinquency in an unselected birth cohort. Journal of the American Academy of Child and Adolescent Psychiatry 1988; 27: 233-240.
58.
Biederman J, Petty CR, Monuteaux MC, et al. The longitudinal course of comorbid oppositional defiant disorder in girls with attention-deficit/hyperactivity disorder: findings from a controlled 5-year prospective longitudinal follow-up study. Journal of Developmental and Behavioral Pediatrics 2008; 29(6): 501-507.
59.
Winters KC, Botzet A, Fahnhorst T, et al. Impulsivity and its relationship to risky sexual behaviors and drug abuse. Journal of Child and Adolescent Substance Abuse 2009; 18: 43-56.
60.
Mulvey EP, Schubert CA, Chassin L. Substance Use and Delinquent Behavior among Serious Adolescent Offenders. Washington, DC: Office of Juvenile Justice and Delinquency Prevention, 2010.
61.
Windle M. A retrospective measure of childhood behavior problems and its use in predicting adolescent problem behaviors. Journal of Studies on Alcohol 1993; 54: 422-431.
62.
Fergusson DM, Woodward LJ. Mental health, educational, and social role outcomes of adolescents with depression. Archives of General Psychiatry 2002; 59: 225-231.
63.
Hayatbakhsh MR, Najman JM, Jamrozik K, et al. Adolescent problem behaviors predicting DSM-IV diagnoses of multiple substance use disorder: Findings of a prospective birth cohort study. Social Psychiatry and Psychiatric Epidemiology 2008; 43(5): 356-363.
64.
Teplin LA, Elkington KS, McClelland GM, et al. Major mental disorders, substance use disorders, comorbidity, and HIV/AIDS risk behaviors in juvenile detainees. Psychiatric Services 2005; 56: 823-828.
65.
Farrell AD, Danish SJ, Howard CW. Relationship between drug use and other problem behaviors in urban adolescents. Journal of Consulting and Clinical Psychology 1992; 60: 705-712.
66.
Winters KC. Development of an adolescent alcohol and other drug abuse screening scale: Personal Experience Screening Questionnaire. Addictive Behaviors 1992; 17(5): 479-490.
67.
Winters KC, Leitten W. Brief intervention for drug-abusing adolescents in a school setting. Psychology of Addictive Behaviors 2007; 21: 249-254.
68.
Winters KC, Lee S, Botzet A, et al. One-year outcomes of a brief intervention for drug abusing adolescents. Psychology of Addictive Behaviors, in press.
69.
Winters KC, Fahnhorst T, Botzet A, et al. Brief intervention for drug abusing adolescents in a school setting: Outcomes and mediating factors. Journal of Substance Abuse Treatment 2012; 42: 279-288.
70.
Winters KC, Henly GA. Adolescent Diagnostic Interview Schedule and Manual. Los Angeles, CA: Western Psychological Services, 1993.
71.
Winters KC, Stinchfield RD. Adolescent Diagnostic Interview-Parent. Minneapolis, MN: University of Minnesota, 2003.
72.
Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional versus new alternatives. Structural Equation Modeling 1999; 6(1): 1-55.
73.
Browne MW, Cudeck R. Alternative ways of assessing model fit. In: KA Bollen, JS Long (Eds). Testing Structural Equation Models. Beverly Hills, CA: Sage, 1993.
74.
Lynch S. Introduction to Applied Bayesian Statistics and Estimation for Social Scientists. New York: Springer, 2010, p. 132.
75.
Rupp AA, Dey DK, Zumbo BD. To Bayes or not to Bayes, from whether to when: Applications of Bayesian methodology to modeling. Structural Equation Modeling 2004; 11(3): 424-451.
76.
Scheines R, Hoijtink H, Boomsma A. Bayesian estimation and testing of structural equation models. Psychometrika 1999; 64(1): 37-52.
77.
Gelman A, Rubin DB. Inference from iterative simulation using multiple sequences. Statistical Science 1992; 7(4): 457-511.
78.
Gelman A, Carlin JB, Stern HS, et al. Bayesian Data Analysis, 2nd ed. Boca Raton, FL: Chapman & Hall, 2004.
79.
Gelman A, Meng XL, Stern HS, et al. Posterior predictive assessment of model fitness via realized discrepancies (with discussion). Statistical Sinica 1996; 6: 733-807.
80.
Muthèn LK, Muthèn BO. Mplus User’s Guide, 7 th Version. Los Angeles, CA: Muthèn & Muthèn, 1998-2012.
81.
82.
83.
Fabrigar LR, Wegener DT, MacCallum RC, et al. Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods 1999; 4: 272-299.
84.
Reynolds CR, Kamphaus RW. Behavior Assessment System for Children, 2nd ed. Circle Pines, MN: American Guidance Service, 2005.
85.
Young P, Rahdert E. Development of a POSIT-Related HIV/STD Risk Scale. Bethesda, MD: NOVA Research Company, 2000.
86.
Brook JS, Balka EB, Abernathy T, et al. Sequence of sexual behavior and its relationship to other problem behaviors in African American and Puerto Rican adolescents. The Journal of Genetic Psychology 1994; 155: 107-114.
87.
Bryan AD, Ray LA, Cooper LM. Alcohol use and protective sexual behaviors among high-risk adolescents. Journal of Studies on Alcohol and Drugs 2007; 68(3): 327-335.
88.
Cooper LM. Alcohol use and risky sexual behavior among college students and youth: Evaluating the evidence. Journal of Studies on Alcohol 2002; 14: 101-117.
89.
Elkington KS, Bauermeister JA, Brackis-Cott E, et al. Substance use and sexual risk behaviors in perinatally human immunodeficiency virus-exposed youth: Roles of caregivers, peers and HIV status. Journal of Adolescent Health 2009; 45(2): 133-141.
90.
Goldstein AL, Barnett NP, Pedlow CT, et al. Drinking in conjunction with sexual experiences among at-risk college student drinkers. Journal of Studies on Alcohol and Drugs 2007; 68(5): 697-705.
91.
Komro KA, Tobler AL, Maldonado-Molina MM, et al. Effects of alcohol use initiation patterns on high-risk behaviors among urban, low-income, young adolescents. Prevention Science 2010; 11(1): 14-23.
92.
Morris RE, Baker CJ, Valentine M, et al. Variations in HIV risk behaviors of incarcerated juveniles during a four-year period: 1989-1992. Journal of Adolescent Health 1998; 23: 39-48.
93.
Morris RE, Harrison EA, Knox GW, et al. Health risk behavioral survey from 39 juvenile correctional facilities in the United States. Journal of Adolescent Health 1995; 17: 334-344.
94.
Murphy DA, Brecht M, Herbeck D, et al. Trajectories of HIV risk behavior from age 15 to 25 in the national longitudinal survey of youth sample. Journal of Youth and Adolescence 2009; 38(9): 1226-1239.
95.
Wetherill RR, Fromme K. Alcohol use, sexual activity, and perceived risk in high school athletes and non-athletes. Journal of Adolescent Health 2007; 41(3): 294-301.
96.
97.
Warren CW, Santelli JS, Everett SA, et al. Sexual behavior among US high school students, 1990-1995. Family Planning Perspectives 1998; 30(4): 170-172.
98.
99.
Centers for Disease Control and Prevention. Youth Online-High School Youth Risk Behavior Survey. Available at www.​cdc.​gov/​yrbs. Accessed April 3, 2013.
100.
Elliott DS, Ageton SS, Huizinga D, et al. The Prevalence and Incidence of Delinquent Behavior: 1976-1980. Boulder, CO: Behavioral Research Institute, 1983.
101.
Dembo R, Schmeidler J. Family Empowerment Intervention: An Innovative Service for High-Risk Youths and Their Families. New York: The Haworth Press, 2002.
102.
Maltz MD. Recidivism. Orland, FL: Academic Press, Inc, 1984.
103.
Blumstein A, Cohen J. Estimation of individual crime rates from arrest records. Journal of Criminal Law and Criminology 1979; 70: 561-585.
104.
Dayton CM. Latent Class Scaling Analysis. Thousand Oaks, CA: Sage Publications, 1998.
105.
Nylund KL, Asparouhov T, Muthèn BO. Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling 2007; 14: 535-569.
106.
Lo Y, Mendell NR, Rubin DB. Testing the number of components in a normal mixture. Biometrika 2001; 88: 767-778.
107.
Akaike H. Factor analysis and AIC. Psychometrika 1987; 52: 317-332.
108.
Bozdogan H. Model selection and Akaike’s Information Criteria (AIC): The general theory and its analytical extensions. Psychometrika 1987; 52: 345-370.
109.
Lubke GH, Neale MC. Distinguishing between latent classes and continuous factors: Resolution by maximum likelihood? Multivariate Behavioral Research 2006; 41: 499-532.
110.
Ramaswamy V, DeSarbo W, Reibstein D, et al. An empirical pooling approach for estimating marketing mix elasticities with PIMS data. Marketing Science 1993; 12: 103-14.
111.
Crick NR, Zahn-Waxler C. The development of psychopathology in females and males: Current progress and future challenges. Development and Psychopathology2003; 15(3): 719-742.
112.
Eronen M, Angermeyer MC, Schulze B. The psychiatric epidemiology of violent behaviour. Social Psychiatry and Psychiatric Epidemiology 1998; 33: 13-23.
113.
Hodgins S. Major mental disorder and crime: An overview. Psychology, Crime & Law 1995; 2: 5-17.
114.
Vermeiren R. Psychopathology and delinquency in adolescents: A descriptive and developmental perspective. Clinical Psychology Review 2003; 23: 277-318.
115.
McCluskey CP, Bynum TS, Patchin JW. Reducing chronic absenteeism: An assessment of an early truancy initiative. Crime & Delinquency 2004; 50: 214-234.
Metadaten
Titel
Differential Effects of Mental Health Problems Among Truant Youths
verfasst von
Richard Dembo, PhD
Jennifer Wareham, PhD
James Schmeidler, PhD
Rhissa Briones-Robinson, MA
Ken C. Winters, PhD
Publikationsdatum
15.08.2014
Verlag
Springer US
Erschienen in
The Journal of Behavioral Health Services & Research / Ausgabe 3/2016
Print ISSN: 1094-3412
Elektronische ISSN: 2168-6793
DOI
https://doi.org/10.1007/s11414-014-9435-6

Weitere Artikel der Ausgabe 3/2016

The Journal of Behavioral Health Services & Research 3/2016 Zur Ausgabe

Letter

Letter to the Editor on “Implementation of Network for the Improvement of Addiction Treatment (NIATx) Processes in Substance Use Disorder Treatment Centers”

OriginalPaper

Perspectives of Treatment Providers and Clients with Serious Mental Illness Regarding Effective Therapeutic Relationships

OriginalPaper

Health Services for Behavioral Problems in Pediatric Primary Care

Report

Placing Evidence-Based Interventions at the Fingertips of School Social Workers

Report

Factors Associated with Geographic Variation in Psychiatric Prescription Drug Expenditures Among Medicaid Beneficiaries

Report

Stigma: a Unique Source of Distress for Family Members of Individuals with Mental Illness

Neu im Fachgebiet Psychiatrie

18.04.2024 | Arterielle Hypertonie | Nachrichten

Antihypertensiva schützen auch alte Menschen noch vor Demenz

17.04.2024 | Delir nicht substanzbedingt | Nachrichten

Delir kann Demenz begünstigen

16.04.2024 | Störungen der Geschlechtsidentität | Nachrichten

Zunahme von Geschlechtsinkongruenz und -dysphorie registriert

12.04.2024 | Vitiligo | Nachrichten

Vitiligo: Prävalenz steigt und viele Erkrankte werden spät behandelt
weitere anzeigen

Update Psychiatrie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen