Service Tax Additional
select a format
Recent Viewed Reports
Why Ken Reasearch?
While we still are studying and analysing your reports about Vietnam & Thailand, we would like to convey to your research team that they have done a very good job in compiling so much of information together. We hope to see more of such well researched reports. All the best & keep it up. ... "Prashant Bhagwat,General Manager, Mahindra"
We would like to appreciate Ken Research for their great efforts and wonderful support in providing the Market Intelligence Report for ITPC. The information, statistics and research are well understandable and very clear to the point. We are happy with Ken research for their good client service, on-time delivery of the report and as said the report itself. Thank you Ken research for bringing the valuable output for us. We would be looking forward to have more research with you in the near future. Wish you a success in your business!... "Jestin Mathew, Indonesian Trade Promotion Center"
The Report was very interesting and useful for me... "Marketing Manager, Western Union Business Solutions"
Ken Research completed the report successfully with tough deadline and large requirement. Really appreciate it... "Sales Manager, Largest India Aesthetic Laser Manufacturer"
We found the report really useful in understanding the complex Indian market and it provided lots of high quality insights. On the basis of this we commissioned Ken to produce a bespoke follow up to answer some specific questions about our market. This is now being used to help develop our marketing and sales strategy. We were very pleased with the comprehensive coverage, detail provided and actionable insights.... "Owner, Therefore Consulting UK"
EpiCast Report: Attention-Deficit/Hyperactivity Disorder-Epidemiology Forecast to 2024
Attention-Deficit/Hyperactivity Disorder (ADHD) is a common childhood disorder that can continue through adolescence and adulthood. Symptoms include higher than normal levels of impulsivity and inattention that impair an individual's ability to function properly in various settings like school or work. Studies show a greater number of boys being diagnosed with ADHD compared with girls, with male to female ratios reported to range from 3:1 to 9:1, dependent on the study setting (general population or clinics). There are three distinct subtypes of ADHD: predominantly inattentive type (ADHD-I), predominantly hyperactive-impulsive type (ADHD-H), and combined type (ADHD-C). Common comorbidities include learning disabilities, oppositional defiant disorder, conduct disorder, obsessive compulsive disorder, tic disorders, substance use disorders, anxiety disorders, bipolar disorder, and depression. Genetic studies have conclusively demonstrated that genetic influences play a role in the etiology of ADHD.
GlobalData epidemiologists forecast the diagnosed prevalent cases of ADHD in the 7MM to grow by 2.86% per year over the next 10 years, from 26,540,792 cases in 2014 to 34,129,001 cases in 2024. In the 7MM, the US will have the highest number of diagnosed prevalent cases throughout the forecast period, with 21,217,302 cases in 2014 and 28,833,163 cases in 2024. In the 7MM, the age group 18 years and older had the highest number of diagnosed prevalent cases of ADHD in 2014, contributing 18,870,635 cases, consisting of 71.10% of the total. Across the 7MM, the diagnosed prevalent cases of ADHD are higher in men compared to women, with 17,153,298 (64.63%) cases occurring in men and 9,387,494 (35.37%) cases occurring in women in 2014. The ADHD subtype in children and adolescents with the highest number of diagnosed prevalent cases was ADHD-I, with 3,175,915 cases or 41.43% of the total in the 7MM in 2014, while the ADHD subtype in adults with the highest number of diagnosed prevalent cases was ADHD-C, with 10,770,130 cases or 57.07% of the total.
GlobalData epidemiologists utilized comprehensive, country-specific data from registries and peer-reviewed journal articles to arrive at a meaningful, in-depth analysis and forecast for the diagnosed prevalent cases of ADHD. In this analysis, GlobalData epidemiologists provide detailed, clinically relevant segmentations for the diagnosed prevalent cases of ADHD. Furthermore, the use of uniform methodology across markets allows for meaningful global comparisons of the diagnosed prevalent cases of ADHD.
The Attention-Deficit/Hyperactivity Disorder (ADHD) EpiCast Report provides an overview of the risk factors and global trends of ADHD in the 7MM (US, France, Germany, Italy, Spain, UK, and Japan). It includes a 10-year epidemiology forecast of ADHD diagnosed prevalent cases segmented by age group (3-5 years, 6-12 years, 13-17 years, and 18 years and older), sex, disease subtype, and comorbid disorder in these seven markets.
The ADHD epidemiology report is written and developed by Masters- and PhD-level epidemiologists.
The EpiCast Report is in-depth, high quality, transparent and market-driven, providing expert analysis of disease trends in the 7MM.
Reasons To Buy
The ADHD EpiCast report will allow you to
Develop business strategies by understanding the trends shaping and driving the global ADHD market.
Quantify patient populations in the global ADHD market to improve product design, pricing, and launch plans.
Organize sales and marketing efforts by identifying the age groups and sex that present the best opportunities for ADHD therapeutics in each of the markets covered.
Identify the percentage of ADHD diagnosed prevalent cases by age, sex, disease subtype, and comorbid disorder.
1 Table of Contents
1 Table of Contents 4
1.1 List of Tables 5
1.2 List of Figures 6
2 Epidemiology 7
2.1 Disease Background 7
2.2 Risk Factors and Comorbidities 8
2.3 Global Trends 10
2.3.1 US 10
2.3.2 5EU 10
2.3.3 Japan 12
2.4 Forecast Methodology 13
2.4.1 Sources Used Tables 14
2.4.2 Forecast Assumptions and Methods 18
2.4.3 Sources Not Used 31
2.5 Epidemiological Forecast for ADHD (2014-2024) 32
2.5.1 Diagnosed Prevalent Cases of ADHD 32
2.5.2 Age-Specific Diagnosed Prevalent Cases of ADHD 34
2.5.3 Sex-Specific Diagnosed Prevalent Cases of ADHD 36
2.5.4 Age-Standardized Prevalence of ADHD 38
2.5.5 Diagnosed Prevalent Cases of ADHD by Subtype 39
2.6 Discussion 43
2.6.1 Epidemiological Forecast Insight 43
2.6.2 Limitations of the Analysis 45
2.6.3 Strengths of the Analysis 46
3 Appendix 47
3.1 Bibliography 47
3.2 About the Authors 53
3.2.1 Epidemiologists 53
3.2.2 Managing Epidemiologists 54
3.2.3 Global Director of Therapy Analysis and Epidemiology 55
3.3 About GlobalData 56
3.4 About EpiCast 56
3.5 Disclaimer 57
1.2 List of Figures
Figure 1: 7MM, Diagnosed Prevalent Cases of ADHD, Both Sexes, Ages ?3 Years, Selected Years, 2014-2024 34
Figure 2: 7MM, Age-Specific Diagnosed Prevalent Cases of ADHD, Both Sexes, 2014 36
Figure 3: 7MM, Sex-Specific Diagnosed Prevalent Cases of ADHD, Ages ?3 Years, 2014 38
Figure 4: 7MM, Age-Standardized Diagnosed Prevalence of ADHD, Ages ?3 Years , 2014 39
Figure 5: 7MM, Diagnosed Prevalent Cases of ADHD, by Subtype, Ages 3-17 Years, Children and Adolescents, N, 2014 41
Figure 6: 7MM, Diagnosed Prevalent Cases of ADHD, by Subtype, Ages ?18 Years, Adults, N, 2014 43
1.1 List of Tables
Table 1: Risk Factors and Comorbidities for ADHD 9
Table 2: 7MM, Sources of Epidemiological Data Used to Forecast Diagnosed Prevalent Cases of ADHD 14
Table 3: 7MM, Sources of Epidemiological Data Used to Forecast Diagnosed Prevalent Cases of ADHD by Subtype, Ages 3?17 Years 16
Table 4: 7MM, Sources of Epidemiological Data Used to Forecast Diagnosed Prevalent Cases of ADHD by Subtype, Ages ?18 Years 17
Table 5: 7MM, Sources Not Used in Epidemiological Analysis of ADHD 31
Table 6: 7MM, Diagnosed Prevalent Cases of ADHD, Both Sexes, Ages ?3 Years, Select Years, 2014-2024 33
Table 7: 7MM, Age-Specific Diagnosed Prevalent Cases of ADHD, Both Sexes, N (Row%), 2014 35
Table 8: 7MM, Sex-Specific Diagnosed Prevalent Cases of ADHD, Ages ?3 Years, N (Row %), 2014 37
Table 9: 7MM, Diagnosed Prevalent Cases of ADHD, by Subtype, Ages 3-17 Years, Children and Adolescents, N (Row %), 2014 40
Table 10: 7MM, Diagnosed Prevalent Cases of ADHD, by Subtype, Ages ?18 Years, Adults, N (Row %), 2014 42
Single User License:
Corporate User License: