Literature DB >> 35586800

ADHD in children and adolescents in Germany. Results of the cross-sectional KiGGS Wave 2 study and trends.

Kristin Göbel1, Franz Baumgarten1, Benjamin Kuntz1, Heike Hölling1, Robert Schlack1.   

Abstract

Attention deficit/hyperactivity disorder (ADHD) is one of the most common mental disorders in childhood and adolescence and is associated with functional, psychosocial and cognitive impairment. As part of the second wave of the German Health Interview and Examination Survey for Children and Adolescents (2014-2017), parents of children and adolescents aged between 3 and 17 years reported whether their child was diagnosed with ADHD by a physician or psychologist. Overall, 4.4% of children and adolescents have been diagnosed with ADHD in Germany. In comparison, the KiGGS baseline study (2003-2006) showed a reduction of lifetime ADHD diagnoses of almost one percentage point over a period of ten years. The reduction of parent-reported ADHD diagnoses primarily occurred among 3- to 8-year old children and boys. The results are discussed in terms of health promotion and the introduction of health care measures. © Robert Koch Institute. All rights reserved unless explicitly granted.

Entities:  

Keywords:  ADHD; HEALTH MONITORING; KIGGS; MENTAL HEALTH; PREVALENCE AND TIME TREND

Year:  2018        PMID: 35586800      PMCID: PMC8848912          DOI: 10.17886/RKI-GBE-2018-085

Source DB:  PubMed          Journal:  J Health Monit        ISSN: 2511-2708


Introduction

Attention deficit/hyperactivity disorder (ADHD), with its three core symptoms of inattentiveness, hyperactivity (motor unrest) and impulsivity, is one of the most common mental disorders in childhood and adolescence [1-3]. ADHD is estimated to have a worldwide prevalence of approximately 5%; this has remained relatively stable over the last few decades [1, 4, 5]. According to the diagnostic criteria used by the classification systems (International Statistical Classification of Diseases and Related Health Problems, 10th revision, ICD-10; Diagnostic and Statistical Manual of Mental Disorders, 5th Edition, DSM-5) and diagnostic guidelines (e.g. the ADHD working group of physicians in child and adolescent medicine [6]), a diagnosis of ADHD requires that core symptoms persist beyond developmentally inappropriate levels for at least six months, are pervasive across settings (e.g. school and home) and associated with substantial functional psychosocial impairment [7, 8]. Boys are diagnosed more frequently with ADHD than girls [9]. Approximately, 60% to 70% of patients with ADHD in childhood show a persistence of symptoms into adulthood [1, 10]. ADHD is commonly diagnosed among children of primary-school age [3] as symptoms become progressively more evident and cause greater impairment due to the increasing external demands placed upon children in school (e.g. maintaining attention, remaining seated) [1]. Comorbidities are highly prevalent among children and adolescents with ADHD and vary between 60% and 80% depending on the study [11, 12]. The most common comorbid mental disorders are oppositional defiant disorder (ODD), conduct disorder (CD), depression, anxiety, and learning disabilities [7, 12]. Furthermore, the symptoms of ADHD among children and adolescents are associated with a reduced subjective health-related quality of life [13, 14], increased accident-proneness [15], decreased educational attainment [16], increased disruption of family functioning [17], conflict-ridden relationships with peers [16], and social stigmatisation [18]. Moreover, alongside the significant functional impairment and the broad impact of ADHD on individuals and families, it is likely to incur a high level of health-care related costs [19, 20]. Consequently, it also has implications for health policy. Second follow-up to the German Health Interview and Examination Survey for Children and Adolescents Data owner: Robert Koch Institute Aim: Providing reliable information on health status, health-related behaviour, living conditions, protective and risk factors, and health care among children, adolescents and young adults living in Germany, with the possibility of trend and longitudinal analyses Study design: Combined cross-sectional and cohort study Cross-sectional study in KiGGS Wave 2 Age range: 0-17 years Population: Children and adolescents with permanent residence in Germany Sampling: Samples from official residency registries - randomly selected children and adolescents from the 167 cities and municipalities covered by the KiGGS baseline study Sample size: 15,023 participants KiGGS cohort study in KiGGS Wave 2 Age range: 10-31 years Sampling: Re-invitation of everyone who took part in the KiGGS baseline study and who was willing to participate in a follow-up Sample size: 10,853 participants KiGGS survey waves ► KiGGS baseline study (2003-2006), examination and interview survey ► KiGGS Wave 1 (2009-2012), interview survey ► KiGGS Wave 2 (2014-2017), examination and interview survey More information is available at www.kiggs-studie.de/english This study presents lifetime prevalences of parent-reported ADHD diagnoses from the second wave of the German Health Interview and Examination Survey for Children and Adolescents (KiGGS Wave 2, 2014-2017). Furthermore, it also describes time trends for a period of ten years by comparing data with the KiGGS baseline study (2003-2006).

Indicator

The German Health Interview and Examination Survey for Children and Adolescents (KiGGS) is part of the health monitoring system established at the Robert Koch Institute. KiGGS includes repeated cross-sectional surveys of children and adolescents aged between 0 and 17 years (KiGGS cross-sectional study). Both the KiGGS baseline study (2003-2006) and KiGGS Wave 2 (2014-2017) were conducted as a combined examination and interview survey. A detailed description of the methodology used in KiGGS Wave 2 can be found in New data for action. Data collection for KiGGS Wave 2 has been completed in issue S3/2017 as well as KiGGS Wave 2 cross-sectional study – participant acquisition, response rates and representativeness in issue 1/2018 of the Journal of Health Monitoring [21, 22]. The lifetime prevalence of ADHD was assessed for children and adolescents aged 3 to 17 years using parent-reported ADHD diagnoses given by a physician or a psychologist (see [23]). The results for the current lifetime prevalence are based on data from 13,270 children and adolescents (6,671 girls, 6,599 boys) between 3 and 17 years of age from KiGGS Wave 2. Data from 13,487 children and adolescents (6,736 girls, 6,751 boys) from the KiGGS baseline study were used for comparison to analyse time trends. Prevalences of ADHD diagnoses are presented stratified by gender, age and socioeconomic status (SES, [24]). The analyses were carried out using a weighting factor that corrected for deviations within the sample from the population structure with regard to age in years, gender, federal state, German citizenship and the parents’ level of education [25]. Results report lifetime prevalences stratified by gender, age, and SES with 95% confidence intervals (95% CI). The p-values calculated for the analysis of time trends are based on age-standardised prevalences (population on 31 December 2015). Differences were examined using univariate logistic regression. A statistically significant difference between groups is assumed to have been demonstrated where p-values are less than 0.05.

Results and discussion

Overall, 4.4% of children and adolescents between 3 and 17 years of age showed a parent-reported lifetime diagnosis of ADHD given by a physician or psychologist for KiGGS Wave 2 (2014-2017) (Table 1). For the KiGGS baseline study, the prevalence of age-adjusted lifetime ADHD diagnoses was 5.3%. In contrast, a significant reduction in the prevalence of ADHD diagnoses of 0.9 percentage points (corresponding to about 17 % compared to the baseline value) was identified from the data collected for KiGGS Wave 2. A gender comparison showed a significant reduction in the number of ADHD diagnoses among boys. No significant difference was observed for girls between both waves.
Table 1

Prevalences for parent-reported ADHD* diagnoses according to gender and age from the KiGGS baseline study (n=6,736 girls, n=6,751 boys) and KiGGS Wave 2 (n=6,671 girls, n=6,599 boys)

Source: KiGGS baseline study (2003-2006), KiGGS Wave 2 (2014-2017)

* ADHD = Attention deficit/hyperactivity disorder

KiGGS baseline studyKiGGS Wave 2
%(95 % CI)%(95 % CI)
Girls 1.9 (1.5-2.4) 2.3 (1.9-2.8)
Boys 8.5 (7.7-9.5) 6.5 (5.7-7.3)
Age group
    3-5 Years1.5(1.0-2.3)0.2(0.1-0.7)
    6-8 Years3.8(3.1-4.7)2.1(1.5-2.9)
    9-11 Years7.6(6.4-8.9)6.1(4.9-7.5)
    12-14 Years6.7(5.6-7.9)6.4(5.3-7.6)
    15-17 Years6.4(5.4-7.7)6.9(5.8-8.2)
Total (girls and boys) 5.3 (4.8-5.8) 4.4 (3.9-4.9)

CI=confidence interval

In comparison to the KiGGS baseline study, the results suggest that the diagnostic gap between girls and boys may be closing, however, the data show that boys are still diagnosed with ADHD twice as often as girls. Moreover, the time trend demonstrates that lifetime ADHD diagnoses significantly dropped among 3- to 5-year-olds and 6- to 8-year-olds. No valid findings about gender specific differences within age groups can be made due to the small sample size within each group. Children and adolescents living in socioeconomically disadvantaged families are more frequently diagnosed with ADHD compared to their peers from high SES families (Figure 1). Previous results of the KiGGS baseline study and KiGGS Wave 1 confirm distinctive differences between the prevalence of ADHD diagnoses which are to the disadvantage of lower SES households [3].
Figure 1

Prevalences for parent-reported ADHD diagnoses* for 3- to 17-year-olds according to socioeconomic status (n=6,671 girls, n=6,599 boys)

Source: KiGGS Wave 2 (2014-2017)

* ADHD = Attention deficit/hyperactivity disorder

Over the last decade, a continuous increase in media reports and research, as well as the reported rise in the diagnostic prevalence of ADHD, have driven a broad debate involving society, health policy, medical and psychological health care professionals, and service providers in the health system (see e.g. [26]). This debate has resulted in the initiation of several measures related to health care policy and provision. One example is the directive issued by the Federal Joint Committee (G-BA) for the modification of drug policies aimed at a more restrictive prescription of psychostimulants (i.e. methylphenidate) in the case of children and adolescents with ADHD [27]. The directive reflects the concern about the rate of prescriptions provided for stimulants as this increased over several years. Subsequently, medical guidelines for the diagnostics and therapy of ADHD have also been adapted (see [6]) and the Scientific Medical Societies in Germany (AWMF) has recently (June 2018) published a new version of its guidelines [28]. It cannot be ruled out that these changes may have led to the introduction of a more restrictive diagnostic practice in the case of ADHD. This assumption is supported by the recent reduction in the lifetime prevalence of ADHD among the youngest age groups, particularly as these were at the focus of the debate and have continued to be so. Other initiatives to promote children’s health at the federal level have also been introduced. These include the German government’s strategy for the promotion of children’s health, the promotion of the national centre for early support, which began in 2007, and the medical check-up (U10) put in place in 2006. However, the impact that they might have had on the prevalence of ADHD diagnoses remains open. The results show that boys are still diagnosed twice as often with ADHD as girls. Boys are referred for treatment for ADHD more often and earlier as their behaviour tends to be more disruptive (i.e. more hyperactive or impulsive) than girls [29]. A previous study found that ADHD is almost equally distributed between girls and boys when a higher level of diagnostic recognition is placed on the inattentive subtype and the less overt symptoms of ADHD which are more commonly found among girls [30]. Conclusions about the accuracy of ADHD diagnoses, whether these follow the guidelines, or the severity of the disorder cannot be drawn from the parent-reported ADHD diagnoses collected for the KiGGS study. Additionally, the question as to whether the parents’ response behaviour towards ADHD diagnoses might have been influenced by the changing public and professional perception over the last ten years remains open. Overall, the study found a significant reduction in the diagnostic prevalence of about one percentage point over a period of ten years. Hence, it cannot be ruled out that this reduction might be a consequence of a more restrictive diagnostic practice for ADHD. This explanation is currently supported by routine data gained from statutory health insurers that report a small reduction in ADHD diagnoses [31]. 4.4% of children and adolescents between 3 and 17 years of age had received a parent-reported lifetime diagnosis of ADHD from a physician or psychologist at KiGGS Wave 2 (2014-2017). In contrast to the KiGGS baseline study (2003-2006), KiGGS Wave 2 showed a significant reduction in the prevalence of ADHD diagnoses of about one percentage point. A reduction of parent-reported ADHD diagnoses was identified among boys and 3- to 8-year old children.
  21 in total

1.  [Has the prevalence of parent-reported diagnosis of attention deficit hyperactivity disorder (ADHD) in Germany increased between 2003-2006 and 2009-2012? Results of the KiGGS-study: first follow-up (KiGGS Wave 1)].

Authors:  R Schlack; E Mauz; J Hebebrand; H Hölling
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2014-07       Impact factor: 1.513

2.  Is ADHD Really Increasing in Youth?

Authors:  Daniel J Safer
Journal:  J Atten Disord       Date:  2015-06-17       Impact factor: 3.256

Review 3.  Risk of unintentional injuries in children and adolescents with ADHD and the impact of ADHD medications: A systematic review and meta-analysis.

Authors:  Maite Ruiz-Goikoetxea; Samuele Cortese; Maite Aznarez-Sanado; Sara Magallón; Noelia Alvarez Zallo; Elkin O Luis; Pilar de Castro-Manglano; Cesar Soutullo; Gonzalo Arrondo
Journal:  Neurosci Biobehav Rev       Date:  2017-11-21       Impact factor: 8.989

4.  Absence of gender effects on attention deficit hyperactivity disorder: findings in nonreferred subjects.

Authors:  Joseph Biederman; Anne Kwon; Megan Aleardi; Virginie-Anne Chouinard; Teresa Marino; Heather Cole; Eric Mick; Stephen V Faraone
Journal:  Am J Psychiatry       Date:  2005-06       Impact factor: 18.112

5.  Health-related quality of life in children and adolescents who have a diagnosis of attention-deficit/hyperactivity disorder.

Authors:  Anne F Klassen; Anton Miller; Stuart Fine
Journal:  Pediatrics       Date:  2004-11       Impact factor: 7.124

6.  Rate and predictors of divorce among parents of youths with ADHD.

Authors:  Brian T Wymbs; William E Pelham; Brooke S G Molina; Elizabeth M Gnagy; Tracey K Wilson; Joel B Greenhouse
Journal:  J Consult Clin Psychol       Date:  2008-10

Review 7.  [Regional differences of ADHD diagnosis rates in health insurance data from 2005 to 2015 : Methodological considerations and results].

Authors:  Thomas G Grobe
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2017-12       Impact factor: 1.513

8.  Mental Health Problems in a School Setting in Children and Adolescents.

Authors:  Gerd Schulte-Körne
Journal:  Dtsch Arztebl Int       Date:  2016-03-18       Impact factor: 5.594

Review 9.  [Overall burden to society caused by hyperkinetic syndrome (HKS) and attention deficit hyperactivity disorder (ADHD)].

Authors:  O Schöffski; S Sohn; M Happich
Journal:  Gesundheitswesen       Date:  2008-07

10.  ADHD in girls and boys--gender differences in co-existing symptoms and executive function measures.

Authors:  Erik Winther Skogli; Martin H Teicher; Per Normann Andersen; Kjell Tore Hovik; Merete Øie
Journal:  BMC Psychiatry       Date:  2013-11-09       Impact factor: 3.630

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Journal:  Front Behav Neurosci       Date:  2022-09-13       Impact factor: 3.617

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