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Attention-Deficit/Hyperactivity Disorder

What is adhd.

Attention-deficit/hyperactivity disorder (ADHD) is marked by an ongoing pattern of inattention and/or hyperactivity-impulsivity that interferes with functioning or development. People with ADHD experience an ongoing pattern of the following types of symptoms:

  • Inattention means a person may have difficulty staying on task, sustaining focus, and staying organized, and these problems are not due to defiance or lack of comprehension.
  • Hyperactivity means a person may seem to move about constantly, including in situations when it is not appropriate, or excessively fidgets, taps, or talks. In adults, hyperactivity may mean extreme restlessness or talking too much.
  • Impulsivity means a person may act without thinking or have difficulty with self-control. Impulsivity could also include a desire for immediate rewards or the inability to delay gratification. An impulsive person may interrupt others or make important decisions without considering long-term consequences.

What are the signs and symptoms of ADHD?

Some people with ADHD mainly have symptoms of inattention. Others mostly have symptoms of hyperactivity-impulsivity. Some people have both types of symptoms.

Many people experience some inattention, unfocused motor activity, and impulsivity, but for people with ADHD, these behaviors:

  • Are more severe
  • Occur more often
  • Interfere with or reduce the quality of how they function socially, at school, or in a job

Inattention

People with symptoms of inattention may often:

  • Overlook or miss details and make seemingly careless mistakes in schoolwork, at work, or during other activities
  • Have difficulty sustaining attention during play or tasks, such as conversations, lectures, or lengthy reading
  • Not seem to listen when spoken to directly
  • Find it hard to follow through on instructions or finish schoolwork, chores, or duties in the workplace, or may start tasks but lose focus and get easily sidetracked
  • Have difficulty organizing tasks and activities, doing tasks in sequence, keeping materials and belongings in order, managing time, and meeting deadlines
  • Avoid tasks that require sustained mental effort, such as homework, or for teens and older adults, preparing reports, completing forms, or reviewing lengthy papers
  • Lose things necessary for tasks or activities, such as school supplies, pencils, books, tools, wallets, keys, paperwork, eyeglasses, and cell phones
  • Be easily distracted by unrelated thoughts or stimuli
  • Be forgetful in daily activities, such as chores, errands, returning calls, and keeping appointments

Hyperactivity-impulsivity

People with symptoms of hyperactivity-impulsivity may often:

  • Fidget and squirm while seated
  • Leave their seats in situations when staying seated is expected, such as in the classroom or the office
  • Run, dash around, or climb at inappropriate times or, in teens and adults, often feel restless
  • Be unable to play or engage in hobbies quietly
  • Be constantly in motion or on the go, or act as if driven by a motor
  • Talk excessively
  • Answer questions before they are fully asked, finish other people’s sentences, or speak without waiting for a turn in a conversation
  • Have difficulty waiting one’s turn
  • Interrupt or intrude on others, for example in conversations, games, or activities

Primary care providers sometimes diagnose and treat ADHD. They may also refer individuals to a mental health professional, such as a psychiatrist or clinical psychologist, who can do a thorough evaluation and make an ADHD diagnosis.

For a person to receive a diagnosis of ADHD, the symptoms of inattention and/or hyperactivity-impulsivity must be chronic or long-lasting, impair the person’s functioning, and cause the person to fall behind typical development for their age. Stress, sleep disorders, anxiety, depression, and other physical conditions or illnesses can cause similar symptoms to those of ADHD. Therefore, a thorough evaluation is necessary to determine the cause of the symptoms.

Most children with ADHD receive a diagnosis during the elementary school years. For an adolescent or adult to receive a diagnosis of ADHD, the symptoms need to have been present before age 12.

ADHD symptoms can appear as early as between the ages of 3 and 6 and can continue through adolescence and adulthood. Symptoms of ADHD can be mistaken for emotional or disciplinary problems or missed entirely in children who primarily have symptoms of inattention, leading to a delay in diagnosis. Adults with undiagnosed ADHD may have a history of poor academic performance, problems at work, or difficult or failed relationships.

ADHD symptoms can change over time as a person ages. In young children with ADHD, hyperactivity-impulsivity is the most predominant symptom. As a child reaches elementary school, the symptom of inattention may become more prominent and cause the child to struggle academically. In adolescence, hyperactivity seems to lessen and symptoms may more likely include feelings of restlessness or fidgeting, but inattention and impulsivity may remain. Many adolescents with ADHD also struggle with relationships and antisocial behaviors. Inattention, restlessness, and impulsivity tend to persist into adulthood.

What are the risk factors of ADHD?

Researchers are not sure what causes ADHD, although many studies suggest that genes play a large role. Like many other disorders, ADHD probably results from a combination of factors. In addition to genetics, researchers are looking at possible environmental factors that might raise the risk of developing ADHD and are studying how brain injuries, nutrition, and social environments might play a role in ADHD.

ADHD is more common in males than females, and females with ADHD are more likely to primarily have inattention symptoms. People with ADHD often have other conditions, such as learning disabilities, anxiety disorder, conduct disorder, depression, and substance use disorder.

How is ADHD treated?

While there is no cure for ADHD, currently available treatments may reduce symptoms and improve functioning. Treatments include medication, psychotherapy, education or training, or a combination of treatments.

For many people, ADHD medications reduce hyperactivity and impulsivity and improve their ability to focus, work, and learn. Sometimes several different medications or dosages must be tried before finding the right one that works for a particular person. Anyone taking medications must be monitored closely by their prescribing doctor.

Stimulants. The most common type of medication used for treating ADHD is called a “stimulant.” Although it may seem unusual to treat ADHD with a medication that is considered a stimulant, it works by increasing the brain chemicals dopamine and norepinephrine, which play essential roles in thinking and attention.

Under medical supervision, stimulant medications are considered safe. However, like all medications, they can have side effects, especially when misused or taken in excess of the prescribed dose, and require an individual’s health care provider to monitor how they may be reacting to the medication.

Non-stimulants. A few other ADHD medications are non-stimulants. These medications take longer to start working than stimulants, but can also improve focus, attention, and impulsivity in a person with ADHD. Doctors may prescribe a non-stimulant: when a person has bothersome side effects from stimulants, when a stimulant was not effective, or in combination with a stimulant to increase effectiveness.

Although not approved by the U.S. Food and Drug Administration (FDA) specifically for the treatment of ADHD, some antidepressants are used alone or in combination with a stimulant to treat ADHD. Antidepressants may help all of the symptoms of ADHD and can be prescribed if a patient has bothersome side effects from stimulants. Antidepressants can be helpful in combination with stimulants if a patient also has another condition, such as an anxiety disorder, depression, or another mood disorder. Non-stimulant ADHD medications and antidepressants may also have side effects.

Doctors and patients can work together to find the best medication, dose, or medication combination. To find the latest information about medications, talk to a health care provider and visit the FDA website  .

Psychotherapy and psychosocial interventions

Several specific psychosocial interventions have been shown to help individuals with ADHD and their families manage symptoms and improve everyday functioning.

For school-age children, frustration, blame, and anger may have built up within a family before a child is diagnosed. Parents and children may need specialized help to overcome negative feelings. Mental health professionals can educate parents about ADHD and how it affects a family. They also will help the child and his or her parents develop new skills, attitudes, and ways of relating to each other.

All types of therapy for children and teens with ADHD require parents to play an active role. Psychotherapy that includes only individual treatment sessions with the child (without parent involvement) is not effective for managing ADHD symptoms and behavior. This type of treatment is more likely to be effective for treating symptoms of anxiety or depression that may occur along with ADHD.

Behavioral therapy is a type of psychotherapy that aims to help a person change their behavior. It might involve practical assistance, such as help organizing tasks or completing schoolwork, or working through emotionally difficult events. Behavioral therapy also teaches a person how to:

  • Monitor their own behavior
  • Give oneself praise or rewards for acting in a desired way, such as controlling anger or thinking before acting

Parents, teachers, and family members also can give feedback on certain behaviors and help establish clear rules, chore lists, and structured routines to help a person control their behavior. Therapists may also teach children social skills, such as how to wait their turn, share toys, ask for help, or respond to teasing. Learning to read facial expressions and the tone of voice in others, and how to respond appropriately can also be part of social skills training.

Cognitive behavioral therapy helps a person learn how to be aware and accepting of one’s own thoughts and feelings to improve focus and concentration. The therapist also encourages the person with ADHD to adjust to the life changes that come with treatment, such as thinking before acting, or resisting the urge to take unnecessary risks.

Family and marital therapy can help family members and spouses find productive ways to handle disruptive behaviors, encourage behavior changes, and improve interactions with the person with ADHD.

Parenting skills training (behavioral parent management training) teaches parents skills for encouraging and rewarding positive behaviors in their children. Parents are taught to use a system of rewards and consequences to change a child’s behavior, to give immediate and positive feedback for behaviors they want to encourage, and to ignore or redirect behaviors they want to discourage.

Specific behavioral classroom management interventions and/or academic accommodations for children and teens have been shown to be effective for managing symptoms and improving functioning at school and with peers. Interventions may include behavior management plans or teaching organizational or study skills. Accommodations may include preferential seating in the classroom, reduced classwork load, or extended time on tests and exams. The school may provide accommodations through what is called a 504 Plan or, for children who qualify for special education services, an Individualized Education Plan (IEP). 

To learn more about the Individuals with Disabilities Education Act (IDEA), visit the  U.S. Department of Education’s IDEA website  .

Stress management techniques can benefit parents of children with ADHD by increasing their ability to deal with frustration so that they can respond calmly to their child’s behavior.

Support groups can help parents and families connect with others who have similar problems and concerns. Groups often meet regularly to share frustrations and successes, to exchange information about recommended specialists and strategies, and to talk with experts.

The National Resource Center on ADHD, a program of Children and Adults with Attention-Deficit/Hyperactivity Disorder (CHADD®) supported by the Centers for Disease Control and Prevention (CDC), has information and many resources. You can reach this center online   or by phone at 1-866-200-8098.

Learn more about psychotherapy .

Tips to help kids and adults with ADHD stay organized

Parents and teachers can help kids with ADHD stay organized and follow directions with tools such as:

  • Keeping a routine and a schedule. Keep the same routine every day, from wake-up time to bedtime. Include times for homework, outdoor play, and indoor activities. Keep the schedule on the refrigerator or a bulletin board. Write changes on the schedule as far in advance as possible.
  • Organizing everyday items. Have a place for everything, (such as clothing, backpacks, and toys), and keep everything in its place.
  • Using homework and notebook organizers. Use organizers for school material and supplies. Stress to your child the importance of writing down assignments and bringing home necessary books.
  • Being clear and consistent. Children with ADHD need consistent rules they can understand and follow.
  • Giving praise or rewards when rules are followed. Children with ADHD often receive and expect criticism. Look for good behavior and praise it.

For adults:

A professional counselor or therapist can help an adult with ADHD learn how to organize their life with tools such as:

  • Keeping routines.
  • Making lists for different tasks and activities.
  • Using a calendar for scheduling events.
  • Using reminder notes.
  • Assigning a special place for keys, bills, and paperwork.
  • Breaking down large tasks into more manageable, smaller steps so that completing each part of the task provides a sense of accomplishment.

How can I find a clinical trial for ADHD?

Clinical trials are research studies that look at new ways to prevent, detect, or treat diseases and conditions. The goal of clinical trials is to determine if a new test or treatment works and is safe. Although individuals may benefit from being part of a clinical trial, participants should be aware that the primary purpose of a clinical trial is to gain new scientific knowledge so that others may be better helped in the future.

Researchers at NIMH and around the country conduct many studies with patients and healthy volunteers. We have new and better treatment options today because of what clinical trials uncovered years ago. Be part of tomorrow’s medical breakthroughs. Talk to your health care provider about clinical trials, their benefits and risks, and whether one is right for you.

To learn more or find a study, visit:

  • NIMH’s Clinical Trials webpage : Information about participating in clinical trials
  • Clinicaltrials.gov: Current Studies on ADHD  : List of clinical trials funded by the National Institutes of Health (NIH) being conducted across the country
  • Join a Study: Children - ADHD : List of studies being conducted on the NIH Campus in Bethesda, MD

Where can I learn more about ADHD?

Free brochures and shareable resources.

  • Attention-Deficit/Hyperactivity Disorder in Children and Teens: What You Need to Know : This brochure provides information about attention-deficit/hyperactivity disorder (ADHD) in children and teens including symptoms, how it is diagnosed, causes, treatment options, and helpful resources. Also available en español .
  • Attention-Deficit/Hyperactivity Disorder in Adults: What You Need to Know : This brochure provides information about attention-deficit/hyperactivity disorder (ADHD) in adults including symptoms, how ADHD is diagnosed, causes, treatment options, and resources to find help for yourself or someone else. Also available en español .
  • Shareable Resources on ADHD : These digital resources, including graphics and messages, can be used to spread the word about ADHD and help promote awareness and education in your community.
  • Mental Health Minute: ADHD : Take a mental health minute to learn about ADHD.
  • NIMH Expert Discusses Managing ADHD : Learn the signs, symptoms, and treatments of ADHD as well as tips for helping children and adolescents manage ADHD during the pandemic.

Federal resources

  • ADHD   : CDC offers fact sheets, infographics, and other resources about the signs, symptoms, and treatment of children with ADHD.
  • ADHD   : (MedlinePlus – also available  en español   .)

Research and statistics

  • Journal Articles   : This webpage provides information on references and abstracts from MEDLINE/PubMed (National Library of Medicine).
  • ADHD Statistics : This web page provides statistics about the prevalence and treatment of ADHD among children, adolescents, and adults.

Last Reviewed: September 2023

Unless otherwise specified, the information on our website and in our publications is in the public domain and may be reused or copied without permission. However, you may not reuse or copy images. Please cite the National Institute of Mental Health as the source. Read our copyright policy to learn more about our guidelines for reusing NIMH content.

Attention deficit/hyperactivity disorder in adults: A case study

Affiliations.

  • 1 University of North Dakota, United States of America. Electronic address: [email protected].
  • 2 University of North Dakota, United States of America.
  • 3 Dana Wiley, MD PA.
  • PMID: 35461644
  • DOI: 10.1016/j.apnu.2021.12.003

Attention-Deficit/Hyperactivity Disorder (ADHD) is often misdiagnosed or mistreated in adults because it is often thought of as a childhood problem. If a child is diagnosed and treated for the disorder, it often persists into adulthood. In adult ADHD, the symptoms may be comorbid or mimic other conditions making diagnosis and treatment difficult. Adults with ADHD require an in-depth assessment for proper diagnosis and treatment. The presentation and treatment of adults with ADHD can be complex and often requires interdisciplinary care. Mental health and non-mental health providers often overlook the disorder or feel uncomfortable treating adults with ADHD. The purpose of this manuscript is to discuss the diagnosis and management of adults with ADHD.

Keywords: Adult; Attention Deficit/Hyperactivity Disorder; Misuse; Psychoeducation; Stimulant.

Copyright © 2022 Elsevier Inc. All rights reserved.

  • Attention Deficit Disorder with Hyperactivity* / diagnosis
  • Attention Deficit Disorder with Hyperactivity* / epidemiology
  • Attention Deficit Disorder with Hyperactivity* / therapy
  • Comorbidity
  • Mental Health*
  • Open access
  • Published: 23 November 2023

Risk factors associated with newly diagnosed attention-deficit/hyperactivity disorder in adults: a retrospective case-control study

  • Jeff Schein 1 ,
  • Martin Cloutier 2 ,
  • Marjolaine Gauthier-Loiselle 2 ,
  • Rebecca Bungay 2 ,
  • Emmanuelle Arpin 2 ,
  • Annie Guerin 2 &
  • Ann Childress 3  

BMC Psychiatry volume  23 , Article number:  870 ( 2023 ) Cite this article

1981 Accesses

18 Altmetric

Metrics details

Knowledge of risk factors for attention-deficit/hyperactivity disorder (ADHD) may facilitate early diagnosis; however, studies examining a broad range of potential risk factors for ADHD in adults are limited. This study aimed to identify risk factors associated with newly diagnosed ADHD among adults in the United States (US).

Eligible adults from the IQVIA PharMetrics® Plus database (10/01/2015-09/30/2021) were classified into the ADHD cohort if they had ≥ 2 ADHD diagnoses (index date: first ADHD diagnosis) and into the non-ADHD cohort if they had no observed ADHD diagnosis (index date: random date) with a 1:3 case-to-control ratio. Risk factors for newly diagnosed ADHD were assessed during the 12-month baseline period; logistic regression with stepwise variable selection was used to assess statistically significant association. The combined impact of selected risk factors was explored using common patient profiles.

A total of 337,034 patients were included in the ADHD cohort (mean age 35.2 years; 54.5% female) and 1,011,102 in the non-ADHD cohort (mean age 44.0 years; 52.4% female). During the baseline period, the most frequent mental health comorbidities in the ADHD and non-ADHD cohorts were anxiety disorders (34.4% and 11.1%) and depressive disorders (27.9% and 7.8%). Accordingly, a higher proportion of patients in the ADHD cohort received antianxiety agents (20.6% and 8.3%) and antidepressants (40.9% and 15.8%). Key risk factors associated with a significantly increased probability of ADHD included the number of mental health comorbidities (odds ratio [OR] for 1 comorbidity: 1.41; ≥2 comorbidities: 1.45), along with certain mental health comorbidities (e.g., feeding and eating disorders [OR: 1.88], bipolar disorders [OR: 1.50], depressive disorders [OR: 1.37], trauma- and stressor-related disorders [OR: 1.27], anxiety disorders [OR: 1.24]), use of antidepressants (OR: 1.87) and antianxiety agents (OR: 1.40), and having ≥ 1 psychotherapy visit (OR: 1.70), ≥ 1 specialist visit (OR: 1.30), and ≥ 10 outpatient visits (OR: 1.51) (all p < 0.05). The predicted risk of ADHD for patients with treated anxiety and depressive disorders was 81.9%.

Conclusions

Mental health comorbidities and related treatments are significantly associated with newly diagnosed ADHD in US adults. Screening for patients with risk factors for ADHD may allow early diagnosis and appropriate management.

Peer Review reports

Attention-deficit/hyperactivity disorder (ADHD) is a debilitating neurodevelopmental condition with an estimated prevalence of 4.4% among adults in the United States (US) [ 1 ]. ADHD is traditionally perceived as a childhood disorder [ 2 ]; hence, underdiagnosis, delayed diagnosis, and undertreatment of ADHD are believed to be common among adults [ 3 , 4 ].

The diagnostic challenges of ADHD are partially attributable to the frequent comorbid mental disorders [ 5 , 6 ]. Certain mental health comorbidities, such as anxiety and depressive disorders, share overlapping symptoms with ADHD [ 7 , 8 ], potentially leading to misdiagnosis or delayed diagnosis. Studies have suggested that about one-fifth of adults seeking psychiatric services and reporting for other mental health conditions were later found to have ADHD [ 9 , 10 , 11 ]. The World Health Organization Mental Health Survey has also reported that among US adults with ADHD identified through diagnostic interviews, approximately half had received some form of treatment for their emotional or behavioral problems in the past year, but only 13.2% were treated specifically for ADHD [ 12 ]. Clinicians’ lack of awareness or training on adult ADHD may also hinder ADHD diagnosis [ 4 ]. A US medical record-based study found that 56% of adults with ADHD had not received a prior diagnosis of the condition despite complaining about ADHD symptoms to other healthcare professionals in the past [ 13 ]. Other reasons adding to the diagnostic challenge of ADHD in adults may include patient’s fear of stigma and masking behaviors developed over the years [ 4 , 14 ].

ADHD is associated with a wide range of psychosocial, functional, and occupational problems in adults [ 15 ]. A delay in diagnosis, or undiagnosed and ultimately untreated ADHD, may lead to poor clinical and functional outcomes even if comorbidities are treated [ 16 ]. Conversely, early identification of ADHD may allow better symptom management and improve patient functioning and quality of life. To facilitate diagnosis, risk factors are commonly used to predict disease development and aid clinicians to identify at-risk patients [ 17 ]. However, there is a paucity of large studies examining a broad range of potential risk factors for an ADHD diagnosis in adults. Prior studies have reported certain patient characteristics, such as presence of anxiety disorders, depressive disorders, sleep impairments, eating disorders, and childhood illnesses or health events (e.g., obesity, head injuries, infections) that may be associated with ADHD [ 18 , 19 , 20 , 21 , 22 , 23 ]. Yet, most of these studies have examined a single or a few factors, and many were conducted in pediatric ADHD populations primarily outside of the US.

Knowledge on patient characteristics associated with a higher risk of ADHD in adults and the patient journey prior to a clinical ADHD diagnosis may facilitate early diagnosis and the provision of appropriate management. The current study was conducted to identify risk factors for newly diagnosed ADHD in adult patients using a large claims database in the US. The potential utility of the results was also demonstrated through exploring the combined impact of selected risk factors on ADHD risk prediction using fictitious common patient profiles.

Data source

Data from the IQVIA PharMetrics® Plus (IQVIA) database covering the period of October 1, 2015, to September 30, 2021, were used. The IQVIA database contains integrated claims data of over 190 million beneficiaries across the US and includes information on inpatient and outpatient diagnoses and procedures, prescription fills, patients’ pharmacy and medical benefits, inpatient stays, and provider details. Additional data elements encompass dates of service, demographic variables, plan type, payer type, and start and stop dates of health plan enrollment. Data are de-identified and comply with the patient requirements of the Health Insurance Portability and Accountability Act (HIPAA); therefore, no review by an institutional review board nor informed consent was required per Title 45 of CFR, Part 46.101(b)(4) [ 24 ].

Study design and patient populations

A retrospective case-control study design was used. Eligible adults were classified into two cohorts based on the presence of ADHD diagnoses (International Classification of Diseases, Tenth Revision, Clinical Modification [ICD-10-CM] F90.x): the ADHD cohort comprised patients with ≥ 2 ADHD diagnoses recorded on a medical claim on distinct dates at any time during their continuous health plan enrollment; and the non-ADHD cohort comprised patients without any ADHD diagnoses recorded on a medical claim at any time during their continuous health plan enrollment. To account for large differences in sample size and to retain statistical power, a 1:3 case-to-control ratio was used. Specifically, eligible patients were randomly selected into the non-ADHD cohort such that the total number of patients in the non-ADHD cohort was three times that of the ADHD cohort.

The index date was defined as the first observed ADHD diagnosis among the ADHD cohort and a randomly selected date among the non-ADHD cohort. To allow sufficient time to capture potential risk factors for ADHD, patients were required to have ≥ 12 months of continuous health plan enrollment prior to the index date. The baseline period was defined as the 12 months pre-index.

Study measures and outcomes

Patient characteristics and potential risk factors for newly diagnosed ADHD were assessed during the baseline period for each cohort, separately. Potential risk factors considered in this study were identified through a targeted literature review and observable variables in the data and included demographic characteristics (i.e., age, sex, regions of residence, calendar year of index date), clinical characteristics (i.e., physical and mental health comorbidities), pharmacological treatments (i.e., medications for common ADHD comorbidities), healthcare resource utilization (i.e., number of psychotherapy, inpatient, emergency room, outpatient, and specialist [psychiatrist, neurologist] visits). Risk factors for ADHD in this study were identified from potential risk factors that had statistically significant association with newly diagnosed ADHD, as described in the next section.

Statistical analyses

Descriptive statistics were used to summarize baseline patient characteristics and potential risk factors for newly diagnosed ADHD. Means, medians, and standard deviations (SDs) were reported for continuous variables; frequency counts and percentages were reported for categorical variables.

Univariate statistics were used to compare potential risk factors between the ADHD and non-ADHD cohorts. The magnitude of the difference between cohorts was assessed by calculating the standardized differences (std. diff.) for both continuous and categorical variables.

Logistic regression model with stepwise variable selection was used to assess statistically significant association between potential risk factors and ADHD diagnosis. Potential risk factors were eligible for inclusion in the logistic regression based on their univariate association with ADHD diagnosis (i.e., std. diff. >0.10). Potential risk factors presented in < 0.5% of the sample were discarded. Variables included in the last iteration of the stepwise selection process were considered as risk factors of the study outcome. The association between risk factors and ADHD diagnosis were reported as odds ratios (ORs) along with their 95% confidence intervals (CIs) and p-values.

To facilitate the interpretation of the regression analyses, the predicted risk of ADHD based on regression coefficient estimates was evaluated for six fictitious common patient profiles corresponding to patients who harbor selected combinations of ADHD risk factors. This exploratory analysis allowed for the estimation of how the risk of having ADHD would vary had the same person had additional risk factors but otherwise the same characteristics.

Patient characteristics and potential risk factors

The total sample comprised 1,348,136 patients, including 337,034 in the ADHD cohort and 1,011,102 in the non-ADHD cohort (Fig.  1 ). Table  1 presents the patient characteristics and potential risk factors (i.e., characteristics with a std. diff. >0.10) by cohort.

figure 1

Sample selection flowchart. ADHD, attention-deficit/hyperactivity disorder; ICD-10-CM, International Classification of Diseases, Tenth Revision, Clinical Modification

1 ADHD was defined as ICD-10-CM codes: F90.x

2 Eligible patients were randomly selected into the non-ADHD cohort such that the total number of patients in the non-ADHD cohort is 3 times that of the ADHD cohort to account for large differences in sample size

Demographic characteristics

As of index date, the ADHD cohort was younger than the non-ADHD cohort (mean age: 35.2 and 44.0 years; std. diff. = 0.68). In both cohorts, slightly over half of the patients were female (54.5% and 52.4%; std. diff. = 0.04), and the South was the most represented region (48.7% and 42.5%; std. diff. = 0.13).

Clinical characteristics

During the baseline period, the most frequent physical comorbidities in the ADHD and non-ADHD cohorts were hypertension (12.4% and 21.3%; std. diff. = 0.24), obesity (10.0% and 9.4%; std. diff. = 0.02), and chronic pulmonary disease (9.0% and 7.2%; std. diff. = 0.07).

A lower proportion of patients had no mental health comorbidities in the ADHD cohort than the non-ADHD cohort (42.0% and 70.8%; std. diff. = 0.61). The mean ± SD number of mental health comorbidities was 1.2 ± 1.4 in the ADHD cohort and 0.5 ± 0.9 in the non-ADHD cohort (std. diff. = 0.65). The most frequent mental health comorbidities in the ADHD and non-ADHD cohorts were anxiety disorders (34.4% and 11.1%; std. diff. = 0.58), depressive disorders (27.9% and 7.8%; std. diff. = 0.54), sleep-wake disorders (13.2% and 7.7%; std. diff. = 0.18), trauma- and stressor-related disorders (12.4% and 3.4%; std. diff. = 0.34), and substance-related and addictive disorders (9.4% and 5.0%; std. diff. = 0.17).

Pharmacological treatments

A higher proportion of patients in the ADHD than the non-ADHD cohort received antidepressants (40.9% and 15.8%; std. diff. = 0.58), antianxiety agents (20.6% and 8.3%; std. diff. = 0.36), anticonvulsants (16.1% and 6.8%; std. diff. = 0.29), and antipsychotics (7.2% and 1.5%; std. diff. = 0.28).

Healthcare resource utilization

The ADHD cohort, relative to the non-ADHD cohort, had generally higher mean ± SD rates of healthcare resource utilization, including more psychotherapy visits (2.9 ± 8.8 and 0.6 ± 4.0; std. diff. = 0.34), emergency room visits (0.6 ± 1.7 and 0.4 ± 1.2; std. diff. = 0.14), outpatient visits (12.7 ± 16.5 and 8.3 ± 12.4; std. diff. = 0.30), and specialist visits (1.0 ± 4.0 and 0.2 ± 1.8; std. diff. = 0.24); the number of inpatient visits were similar between cohorts (0.1 ± 0.4 and 0.1 ± 0.3; std. diff. = 0.04).

Association between risk factors and ADHD diagnosis

The risk factors with a significant association with an ADHD diagnosis are presented in Fig.  2 . Demographically, being younger and living in the South were risk factors for having an ADHD diagnosis (OR for age: 0.95; OR for region of residence using South as a reference: Midwest, 0.79; West, 0.70; Northwest, 0.67; all p < 0.05).

figure 2

ADHD, attention-deficit/hyperactivity disorder; CI, confidence interval; OR, odds ratio

*Statistically significant at the 5% level

1 Estimated from logistic regression analyses

Other key risk factors associated with a significantly increased probability of having an ADHD diagnosis included the number of mental health comorbidities (OR for 1 comorbidity: 1.41; ≥2 comorbidities: 1.45); certain mental health comorbidities, including feeding and eating disorders (OR: 1.88), bipolar disorders (OR: 1.50), depressive disorders (OR: 1.37), trauma- and stressor-related disorders (OR: 1.27), anxiety disorders (OR: 1.24), sleep-wake disorders (OR: 1.23), and obsessive compulsive disorders (OR: 1.22); use of antidepressants (OR: 1.87) and antianxiety agents (OR: 1.40); and having ≥ 1 psychotherapy visit (OR: 1.70), ≥ 1 specialist visit (OR: 1.30), and ≥ 10 outpatient visits (OR: 1.51) (all p < 0.05).

Predicted risk of ADHD for patient profiles with selected risk factors

Selected risk factors identified from the logistic regression analyses were used to create fictitious common patient profiles to demonstrate their combined impact on the predicted risk of having an ADHD diagnosis (Fig.  3 ). Five of the six profiles correspond to patients with the same demographic characteristics (i.e., aged 35 years and living in the South) but vary in terms of the number (i.e., 1 or ≥ 2) and types of mental health comorbidities (i.e., anxiety disorder and/or depressive disorder), the pharmacological treatment received (i.e., antianxiety and/or antidepressant agent, or no treatment), and the level of healthcare resource utilization (i.e., number of psychotherapy, specialist, and outpatient visits). The remaining profile corresponds to low-risk patients with no relevant risk factors for ADHD.

figure 3

Predicted risk of ADHD for selected patient profiles

ADHD, attention-deficit/hyperactivity disorder

Based on these patient profiles, the predicted risk of ADHD was the highest among patients with treated anxiety and depressive disorders (profile 3). More specifically, a patient presenting with the characteristics described in this profile would have an 81.9% likelihood of being diagnosed with ADHD in the coming year. The profile with the next highest predicted risk of ADHD was patients with treated depressive disorder (profile 2; 71.7%), followed by patients with treated anxiety disorder (profile 1; 63.4%). Profiles corresponding to a moderate predicted risk of ADHD included patients with untreated anxiety and depressive disorders (profile 4; 38.9%) and patients with sleep-wake disorder (profile 5; 34.5%). The predicted risk for ADHD among low-risk patients (profile 6) was 1.5%.

This large retrospective case-control study has identified a broad range of risk factors associated with ADHD in adults and quantified the added likelihood of an ADHD diagnosis contributed by each factor. Certain mental health comorbidities and their associated treatments and care were found to be significantly associated with newly diagnosed ADHD in adults. Specifically, the presence of common mental health comorbidities of ADHD such as anxiety and depressive disorders was associated with 24% and 37% increased risk of having an ADHD diagnosis, respectively. The use of pharmacological treatments for these conditions such as antianxiety agents and antidepressants was associated with an increased risk of having an ADHD diagnosis of 40% and 87%, respectively; having at least one prior psychotherapy visit was also associated with a 70% increased risk. Demographically, being younger and living in the South were found to be risk factors for having an ADHD diagnosis. The combined impact of selected risk factors on the predicted ADHD risk was explored through specific patient profiles, which demonstrated how the findings may be interpreted in clinical settings. The presence of a combination of risk factors may suggest that a patient is at a high risk of having undiagnosed ADHD and signify the need for further assessments. Collectively, findings of this study have extended our understanding on the patient path to ADHD diagnosis as well as the characteristics and clinical events that could suggest undiagnosed ADHD in adults.

Most prior studies examining characteristics associated with ADHD have focused on a single or a few factors, and many were conducted in pediatric populations [ 18 , 19 , 20 , 21 , 22 , 23 ]. Nonetheless, the risk factors for ADHD identified in the current study are largely aligned with the literature. For instance, among prior research in adults, a multicenter patient register study found that at the time of first ADHD diagnosis, mental health comorbidities were present in two-thirds of the patients; patients on average presented with 2.4 comorbidities, with the most common comorbidities being substance use disorders, anxiety disorders, mood disorders, and personality disorders [ 6 ]. Another study among adult members of two large managed healthcare plans found that compared with individuals without ADHD, those screened positive for ADHD through a telephone survey but had no documented ADHD diagnosis (i.e., the undiagnosed group) had significantly higher rates of mental health comorbidities (e.g., anxiety, depression, bipolar disorder) and were more likely to receive medications for a mental health condition [ 25 ]. In line with these findings, the current exploratory patient profile analyses also suggest that patients with more mental health comorbidities and have received the associated pharmacological treatments and care are at a higher risk of having undiagnosed ADHD than those with fewer or untreated mental health comorbidities.

The current study also found that an overall higher healthcare resource utilization was a characteristic associated with newly diagnosed ADHD among adult patients. A potential interpretation of this finding is that an individual who experienced ADHD-related symptoms might visit a psychologist or physician frequently to seek help for the symptoms; thus, a high level of prior healthcare resource utilization may be a sign that an individual could have undiagnosed ADHD. Clinical judgement should be applied to determine whether further evaluation for ADHD is needed on a case-by-case basis considering the presence of other high-risk characteristics.

The diagnosis of ADHD can be challenging, particularly among adults [ 2 , 3 ]. The current study suggests that information on patient characteristics, such as the presence of mental health comorbidities and healthcare resource utilization history, may be used to aid clinicians identify adult patients at risk of ADHD and minimize missed opportunity to provide a timely diagnosis of ADHD and the proper care. Notably, underdiagnosis or a delayed diagnosis of ADHD leads to undertreatment and can adversely affect patients’ occupational achievements, diminish self-esteem, and hamper interpersonal relationships, considerably reducing the quality of life [ 8 ]. ADHD in adults has also been shown to be associated with approximately $123 billion total societal excess costs in the US [ 26 ]. Consequently, early detection and treatment of ADHD may have the potential to alleviate the large patient and societal burden associated with the condition.

It is worth mentioning that causes for ADHD is multifactorial, and multiple risk factors may contribute to the risk of having ADHD [ 15 ]. Some risk factors in the literature (e.g., genetics and environmental factors [ 27 , 28 ]) are not available in claims data, and these factors are important to consider when establishing an ADHD diagnosis. Nonetheless, the risk factors identified in this study were generated based on a large sample size (over 1.3 million adults), and as exemplified by the exploratory patient profiles, the presence of multiple risk factors was associated with an overall higher risk of having undiagnosed ADHD. Together, these findings would help inform clinicians on the types of high-risk patient profiles that should raise a red flag for potential ADHD and prompt further clinical assessments, such as family psychiatric history and diagnostic interviews. As such, findings of this study may facilitate early diagnosis and appropriate management of ADHD among adults, which may in turn improve patient outcomes.

The findings of the current study should be considered in light of certain limitations inherent to retrospective databases using claims data, including the risk of data omissions, coding errors, and the presence of rule-out diagnosis. Nonetheless, while few studies specifically assessed the validity of ICD-10-CM codes for ADHD diagnoses in claims data, literature evidence has suggested high accuracy of ICD-9-CM codes in identifying neurodevelopmental disorders, including ADHD, and a good correspondence between the ICD-9 and − 10 codes is expected [ 29 , 30 ]. Furthermore, ICD codes have been widely used in the literature to identify ADHD diagnoses in claims-based analyses [ 31 , 32 , 33 ]. Meanwhile, as the study included commercially insured patients, the sample may not be representative of the entire ADHD population in the US. Furthermore, potential risk factors were limited to information available in health insurance claims data only, which may lack relevant information related to ADHD, such as presence of childhood ADHD, family history, or environmental factors. In addition, some characteristics may interact with multiple variables such that their association with an ADHD diagnosis may already be captured by other variables; as such, a characteristic with an OR of less than 1 should not be interpreted as having a protective effect against an ADHD diagnosis but rather that the characteristic alone may be insufficient to prompt screening for ADHD. Lastly, findings from this retrospective observational analysis should be interpreted as measures of association; no causal inference can be drawn.

This large retrospective case-control study found that mental health comorbidities and related treatments and care are significantly associated with newly diagnosed ADHD in US adults. The presence of a combination of risk factors may suggest that a patient is at a high risk of having undiagnosed ADHD. The results of this study provide insights on the path to ADHD diagnosis and may aid clinicians identify at-risk patients for screening, which may facilitate early diagnosis and appropriate management of ADHD.

Data Availability

The data that support the findings of this study are available from IQVIA but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the corresponding author (email: [email protected]) upon reasonable request and with permission of IQVIA.

Abbreviations

  • Attention-deficit/hyperactivity disorder

Confidence intervals

Health Insurance Portability and Accountability Act

International Classification of Diseases, Tenth Revision, Clinical Modification

Standard deviation

Standardized difference

United States

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Acknowledgements

Medical writing assistance was provided by Flora Chik, PhD, MWC, an employee of Analysis Group, Inc., and funded by Otsuka Pharmaceutical Development & Commercialization, Inc.

Financial support for this research was provided by Otsuka Pharmaceutical Development & Commercialization, Inc. The study sponsor was involved in several aspects of the research, including the study design, the interpretation of data, the writing of the manuscript, and the decision to submit the manuscript for publication.

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MC, MGL, RB, EA, and AG contributed to study conception and design, collection and assembly of data, and data analysis and interpretation. JS and AC contributed to study conception and design, data analysis and interpretation. All authors reviewed and approved the final content of this manuscript.

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The research was conducted according to the principles of the Declaration of Helsinki. Data analyzed in this study are de-identified and comply with the patient requirements of the Health Insurance Portability and Accountability Act (HIPAA); therefore, no review by an institutional review board nor informed consent was required per Title 45 of CFR, Part 46.101(b)(4) [ 24 ].

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JS is an employee of Otsuka Pharmaceutical Development & Commercialization, Inc. AC received research support from Allergan, Takeda/Shire, Emalex, Akili, Ironshore, Arbor, Aevi Genomic Medicine, Neos Therapeutics, Otsuka, Pfizer, Purdue, Rhodes, Sunovion, Tris, KemPharm, Supernus, and the U.S. Food and Drug Administration; was on the advisory board of Takeda/Shire, Akili, Arbor, Cingulate, Ironshore, Neos Therapeutics, Otsuka, Pfizer, Purdue, Adlon, Rhodes, Sunovion, Tris, Supernus, and Corium; received consulting fees from Arbor, Ironshore, Neos Therapeutics, Purdue, Rhodes, Sunovion, Tris, KemPharm, Supernus, Corium, Jazz, Tulex Pharma, and Lumos Pharma; received speaker fees from Takeda/Shire, Arbor, Ironshore, Neos Therapeutics, Pfizer, Tris, and Supernus; and received writing support from Takeda /Shire, Arbor, Ironshore, Neos Therapeutics, Pfizer, Purdue, Rhodes, Sunovion, and Tris. MC, MGL, RB, EA, and AG are employees of Analysis Group, Inc., a consulting company that has provided paid consulting services to Otsuka Pharmaceutical Development & Commercialization, Inc.

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Part of the material in this manuscript was presented at the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) 2023 conference held on May 7–10, 2023, in Boston, MA, as a poster presentation.

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Schein, J., Cloutier, M., Gauthier-Loiselle, M. et al. Risk factors associated with newly diagnosed attention-deficit/hyperactivity disorder in adults: a retrospective case-control study. BMC Psychiatry 23 , 870 (2023). https://doi.org/10.1186/s12888-023-05359-7

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    Study with Quizlet and memorize flashcards containing terms like Which information is important for the ED nurse to obtain about Jason's accidents? A. Explanation of previous accidents. B. Where was Jason at the time of the accidents? C. Precipitating events leading up to the accidents. D. Who was present at the time of the accident? E. If there is a family history of suicide., How should the ...

  2. RN Hesi Case Study

    Tell Jason to see his healthcare provider (HCP). B. Recommend an accident prevention class. C. Suggest journaling the facts of the accidents. D. Acknowledge the client's frustration., Which statement by Jason causes the nurse to suspect a diagnosis of Attention Deficit Hyperactivity Disorder (ADHD)? A.

  3. Attention Deficit Hyperactivity Disorder (Pediatric)

    A 9-year-old male with attention deficit hyperactivity disorder is seen in the clinic for medication management. Nurses' Notes. 10/ 15. Started on 10 mg dextroamphetamine-amphetamine for attention deficit hyperactivity disorder. Plan to increase 5 mg per week as tolerated. 11/ 17. On maintenance dose of 30 mg dextroamphetamine-amphetamine.

  4. Attention deficit/hyperactivity disorder in adults: A case study

    a disorder of childhood and abates as the prefrontal cortex develops in adulthood, limited clinical experience in the diagnosis and treatment of ADHD in adults, and the lack of multidisciplinary teams necessary to

  5. Attention-Deficit/Hyperactivity Disorder

    Researchers are not sure what causes ADHD, although many studies suggest that genes play a large role. Like many other disorders, ADHD probably results from a combination of factors.

  6. CASE STUDY Jen (attention-deficit/hyperactivity disorder)

    Case Study Details. Jen is a 29 year-old woman who presents to your clinic in distress. In the interview she fidgets and has a hard time sitting still. She opens up by telling you she is about to be fired from her job. In addition, she tearfully tells you that she is in a major fight with her husband of 1 year because he is ready to have ...

  7. PDF Case Study 1

    Case Study 1 - Jack Jack is a 7 year old male Grade 1 student who lives in Toronto with his parents. He is the only child to two parents, both of whom have completed post-graduate education. There is an extended family history of Attention Deficit/Hyperactivity Disorder (ADHD), mental health concerns as well as academic excellence.

  8. DOCX Home

    Case Study Topic: ( & Stand- Alone Trend) Attention Deficit Hyperactivity Disorder (ADHD) Author: ... Nine-year-old male with attention deficit hyperactivity disorder has associated weight loss since starting stimulant medications. Treatment focuses on interventions to improve nutritional status. Objectives: 1.Recognize side effects of ...

  9. Attention deficit/hyperactivity disorder in adults: A case study

    Attention deficit/hyperactivity disorder in adults: A case study Arch Psychiatr Nurs. 2022 Jun:38:29-35. doi: 10.1016/j.apnu.2021.12.003. Epub 2022 Jan 5. Authors Keith O Plowden 1 ... Attention Deficit Disorder with Hyperactivity* / epidemiology

  10. Risk factors associated with newly diagnosed attention-deficit

    Data source. Data from the IQVIA PharMetrics® Plus (IQVIA) database covering the period of October 1, 2015, to September 30, 2021, were used. The IQVIA database contains integrated claims data of over 190 million beneficiaries across the US and includes information on inpatient and outpatient diagnoses and procedures, prescription fills, patients' pharmacy and medical benefits, inpatient ...

  11. Attention Deficit Hyperactivity Disorder Case Study Quizlet

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