Schulabsentismus in Deutschland - Die Prävalenz von entschuldigten und unentschuldigten Fehlzeiten und ihre Korrelation mit emotionalen und Verhaltensauffälligkeiten

Lenzen, Christoph; Fischer, Gloria J.; Jentzsch, Anika; Kaess, Michael; Parzer, Peter; Carli, Vladimir; Wasserman, Danuta; Resch, Franz; Brunner, Romuald

doi:10.13109/prkk.2013.62.8.570

Cited by 25 publications

(8 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The presence of psychosocial problems was confirmed by the significantly higher mean scores of SDQ total difficulties scales in the study group. Lenzen already demonstrated that medical absenteeism is positively associated with emotional and behavioural problems [43]. The nature of the problems appears to be diverse, when looked at from a biopsychosocial perspective: psychosocial problems, physical complaints, sleeping difficulties and lifestyle problems can be the underlying reasons for medical absenteeism.…”

Section: Discussionmentioning

confidence: 99%

Extensive Medical Absenteeism among Secondary School Students: An Observational Study on Their Health Condition from a Biopsychosocial Perspective

Vanneste

Mathijssen²,

Goor³

et al. 2015

OJPM

View full text Add to dashboard Cite

An adequate approach to reducing school absenteeism should focus on medical absenteeism as this is the most prevalent form of school absenteeism. The objective of this study is to explore the health condition of pre-vocational secondary students with extensive medical absenteeism from a biopsychosocial perspective. Data were obtained from medical assessments and Strengths and Difficulties Questionnaires (SDQs) of students with medical absence above threshold criteria (i.e. reported sick four times in 12 school weeks or more than six consecutive school days) who were referred to a youth health care physician. The results showed that the students had a mean absence rate of 14% in 12 school weeks. Of all students, 43.5% had a diagnosed disease and 81.5% had problems such as physical complaints not yet diagnosed, psychosocial problems, lifestyle problems and sleeping difficulties. Four groups could be distinguished: 13.4% with a diagnosed disease and no problem, 30.1% with a diagnosed disease and a problem, 51.5% with a problem and no diagnosed disease and 5.1% without a diagnosed disease or problem. Significantly higher scores of the Total difficulties-scale on the SDQ were found (mean 10.5; SD 5.8) in the study group, compared to a reference group (mean 9.1; SD 4.9). In conclusion, this study shows that when using the aforementioned criteria for extensive medical absenteeism to intervene with the absence, students with a mean absence rate of 14% in 12 school weeks are identified. If there was a diag-Y. T. M. Vanneste et al. 112 nosed disease, it was accompanied by problems about twice as often. More than half of the students' absence was caused by problems rather than a disease. The great diversity of these problems calls for a personalized approach. A broad perspective, including medical expertise, is needed to distinguish between emerging mental and physical diseases, psychosocial and lifestyle problems.

show abstract

Section: Discussionmentioning

confidence: 99%

Extensive Medical Absenteeism among Secondary School Students: An Observational Study on Their Health Condition from a Biopsychosocial Perspective

Vanneste

Mathijssen²,

Goor³

et al. 2015

OJPM

View full text Add to dashboard Cite

show abstract

“…Prevalence rates on school absenteeism as reported in literature are not directly comparable internationally, due to inconsistent use of parameters for school absenteeism. Nowadays, figures at the national level show that medical absenteeism occurs approximately twice as often as truancy [ 22 – 24 ]. In the Netherlands in 2002 medical absenteeism was more prevalent in pre-vocational secondary education than in the other two tracks in secondary education (senior general secondary education and pre-university education): 4 v. 3.7 and 3.4 % [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

Addressing medical absenteeism in pre-vocational secondary students: effectiveness of a public health intervention, using a quasi-experimental design

et al. 2016

View full text Add to dashboard Cite

BackgroundStudents’ health and school absenteeism affect educational level, with adverse effects on their future health. This interdependence is reflected in medical absenteeism. In the Netherlands, a public health intervention has been developed to address medical absenteeism in pre-vocational secondary education. This study aims to investigate the effectiveness of this intervention on students’ medical absenteeism, compared to “medical absenteeism policy as usual”.MethodsA quasi-experimental design with an intervention group (493 students) and a control group (445 students) was applied. Multilevel analysis was used to study differences in the development of the level of a student’s medical absence over time (after 3 and 12 months).ResultsIn the intervention group, the level of absenteeism decreased from 8.5 days reported sick in 12 school weeks to 5.7 days after 3 months, and to 4.9 days after 12 months. The number of absence periods fell from 3.9 in 12 school weeks to 2.5 after 3 months, and to 2.2 after 12 months. In the control group, the absence days initially decreased from 9.9 days reported sick in 12 school weeks to 8.4 days after 3 months, after which an increase to 8.9 days was measured. The number of absence periods initially decreased from 4.5 in 12 school weeks to 3.5, after which an increase to 3.7 was measured. The number of absence days per period remained about the same in both groups.ConclusionsThe study provides first indications for the intervention to be effective for Dutch pre-vocational secondary students with increased medical absence rates. The intervention, which consists of personalised management of medical absenteeism by systematic identification of students with extensive medical absenteeism and consistent referral to youth health care physicians, appears to reduce the absence rates more effectively than “medical absenteeism policy as usual”. The effectiveness of the intervention is shown primarily by a decrease in the number of periods reported sick.

show abstract

“…Medizinische Screening-Verfahren im Selbstbericht erreichen ähnliche Werte, auch wenn diese nicht direkt vergleichbar sind, da in unserer Studie zwei Gruppen an den Extremen der Verteilung verglichen werden -Klinikschülerinnen und -schüler mit abgesicherter psychiatrischer Diagnose und Regelschülerinnen und -schüler ohne SDQ-Auffälligkeit. So erreicht beispielsweise der SDQ-Selbstbericht ein AUC von .84 (Becker et al, 2004) (Al-Mouhtasseb, Hebebrand & Knollmann, 2009;Egger, Costello & Angold, 2003;Lenzen et al, 2013). Im schulischen Bereich ist dieses Ergebnis dennoch beachtenswert, da der Fokus von Lehrkräften stark auf die Erfassung schulischer Leistungen und das Arbeitsverhalten von Schülerinnen und Schülern ausgerichtet ist und ihnen die Beurteilung nicht-leistungsbezogener Merkmale wie z.…”

Section: Diskussion Zusammenfassung Und Einordnungunclassified

Schulische Prädiktoren für psychische Auffälligkeiten bei Kindern und Jugendlichen anhand einer Befragung von Schülerinnen und Schülern an Klinik- und Regelschulen

Janschewski

Käppler

Berens³

2024

Zeitschrift für Pädagogische Psychologie

View full text Add to dashboard Cite

Zusammenfassung. Ungefähr ein Fünftel aller Kinder und Jugendlichen zeigt psychische Auffälligkeiten, doch nur ein geringer Teil der Betroffenen erhält professionelle Hilfe. Häufig gehen mit psychischen Beeinträchtigungen auch gravierende schulische Probleme einher. In dieser Studie untersuchten wir, ob es schulische Merkmale von Schülerinnen und Schülern gibt, die Hinweise auf eine psychische Auffälligkeit liefern können. Dazu wurden 185 Klinikschülerinnen und -schüler und 387 Schülerinnen und Schüler an Regelschulen zu ihrer schulischen Situation befragt. Außerdem wurde der Strengths and Difficulties Questionnaire (SDQ) genutzt, um eine Vergleichsgruppe mit ausschließlich psychisch unauffälligen Schülerinnen und Schülern bilden zu können. Wir verwendeten ein logistisches Regressionsmodell, um herauszufinden, welche Antwortitems eine gute Vorhersage auf psychische Auffälligkeiten ermöglichten. Der Klassifikator war in der Lage, psychisch auffällige und unauffällige Schülerinnen und Schüler mit hoher Genauigkeit zu unterscheiden (Genauigkeit .83, Sensitivität: .76; Spezifität: .87). Die Klassifikation basierte dabei – anders als vermutet werden könnte – nicht primär auf Aussagen zum Lern- und Leistungsverhalten der Schülerinnen und Schüler, sondern auf Aussagen zu schulvermeidendem Verhalten und ihrer sozialen Integration. Diese schulischen Prädiktoren waren auch unter Kontrolle von Alter und Geschlecht sehr stabil. Die Ergebnisse deuten darauf hin, dass Lehrkräfte eine bedeutsame Rolle bei der Früherkennung von psychischen Auffälligkeiten einnehmen können.

show abstract

Schulabsentismus in Deutschland - Die Prävalenz von entschuldigten und unentschuldigten Fehlzeiten und ihre Korrelation mit emotionalen und Verhaltensauffälligkeiten

Cited by 25 publications

References 17 publications

Extensive Medical Absenteeism among Secondary School Students: An Observational Study on Their Health Condition from a Biopsychosocial Perspective

Extensive Medical Absenteeism among Secondary School Students: An Observational Study on Their Health Condition from a Biopsychosocial Perspective

Addressing medical absenteeism in pre-vocational secondary students: effectiveness of a public health intervention, using a quasi-experimental design

Schulische Prädiktoren für psychische Auffälligkeiten bei Kindern und Jugendlichen anhand einer Befragung von Schülerinnen und Schülern an Klinik- und Regelschulen

Contact Info

Product

Resources

About