Gender Differences in Associations Between Attention-Deficit/Hyperactivity Disorder and Substance Use Disorder.
Open accessAbstract
OBJECTIVE: To examine gender differences in the association between attention-deficit/hyperactivity disorder (ADHD) and substance use disorder (SUD), and to explore the impact of comorbid psychiatric conditions. METHOD: This was a cohort study of all children born in Denmark in 1990 to 2003 (n = 729,560). By record linkage across nationwide registers, we merged data on birth characteristics, socioeconomic status, familial psychiatric history, and diagnoses of ADHD (N = 19,645), comorbidities, and SUD. Hazard ratios (HR) with 95% CIs were estimated by Cox regression and adjusted for a range of variables. RESULTS: ADHD increased the risk of alcohol abuse (HRfemales = 1.72 [95% CI = 1.42-2.08], HRmales = 1.57 [1.37-1.79]), cannabis abuse (HRfemales = 2.72 [2.12-3.47], HRmales = 2.24 [1.86-2.70]), and other illicit substance abuse (HRfemales = 2.05 [1.54-2.73], HRmales = 2.42 [1.98-2.96]), compared to individuals without ADHD. In the overall estimates, no gender differences were found. Among individuals with ADHD without comorbidities, females had a higher SUD risk than males, as did females with ADHD and conduct disorder (CD). Comorbid CD, depression, bipolar disorder, and schizophrenia further increased the risk of SUD in ADHD, compared to non-ADHD. Autism spectrum disorder in males with ADHD lowered the SUD risk. CONCLUSION: ADHD increased the risk of all SUD outcomes. Individuals with ADHD without comorbidities were also at increased risk, and some comorbid disorders further increased the risk. Females and males with ADHD had comparable risks of SUD, although females had higher risk of some SUDs than males. Females with ADHD may be perceived as less impaired than males, but they are at equally increased risk of SUD.
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Claims the paper makes
4 of 14 cited sources checked · 1 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Earlier onset of treatment seems to be a protective factor.
“and earlier onset of treatment seems to be a protective factor.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [6] Steinhausen, 2014, Substance use disorders in association with attention-deficit/hyperactivity disorder, co-morbid mental disorders, and medication in a nationwide sample, Eur Neuropsychopharmacol source
- cites [7] Dalsgaard, 2014, ADHD, stimulant treatment in childhood and subsequent substance abuse in adulthood—a naturalistic long-term follow-up study, Addict Behav source
The available passages, including those labelled Abstract (no page given), contain bibliographic information and keywords but no findings about when treatment began. Searches for earlier treatment onset, age at initiation, and a protective effect found no passage addressing the claim. (LLM, conf=0.72)
Experimental — accuracy not yet measured
- Premisecitation
Stimulant treatment of ADHD may reduce the risk of developing SUD.
“Stimulant treatment of ADHD may also reduce the risk of developing SUD”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [7] Dalsgaard, 2014, ADHD, stimulant treatment in childhood and subsequent substance abuse in adulthood—a naturalistic long-term follow-up study, Addict Behav source
The available passages identify the study and list substance use disorder as a keyword, but provide no results about whether stimulant treatment reduces its risk. Further searches for a reduced risk or protective effect returned only bibliographic material, so the claim cannot be verified from our copy. (LLM, conf=0.72)
Experimental — accuracy not yet measured - cites [52] Groenman, 2013, Stimulant treatment for attention-deficit hyperactivity disorder and risk of developing substance use disorder, Br J Psychiatry source
- Findingown data
In females with ADHD, the risk of alcohol abuse was increased compared to females without ADHD (HR 1.72, 95% CI 1.42-2.08).
“ADHD increased the risk of alcohol abuse (HR females ¼ 1.72 [95% CI ¼ 1.42-2.08]”
Quote in the paperSubstantial claim - Findingown data
Comorbid ODD/CD in individuals with ADHD further increased the risk of all 3 types of SUD (p<.005).
“Having comorbid ODD/CD or schizophrenia resulted in a higher risk of all 3 types of SUD, in both females and males (p < .005).”
Quote in the paperSubstantial claim - Findingown data
Females with ADHD without any of 10 comorbid psychiatric disorders had increased risk of other illicit substance abuse (HR 4.79) compared to female controls without these disorders.
“and other illicit substances (HR ¼ 4.79 and 4.10) abuse”
Quote in the paperSubstantial claim
- Findingown data
In females with ADHD, comorbid bipolar disorder further increased the risk of other illicit substance abuse (p<.005).
“In females, comorbid bipolar disorder further increased the risk of alcohol, cannabis, and other illicit substance abuse (all p < .005).”
Quote in the paperSubstantial claim - Findingown data
Females with ADHD without any of 10 comorbid psychiatric disorders had increased risk of alcohol abuse (HR 2.6) compared to female controls without these disorders.
“Both females and males with ADHD who had not been diagnosed with any of the 10 different comorbid psychiatric disorders had increased risks of alcohol (HR ¼ 2.6 and 1.81, in females and males)”
Quote in the paperSubstantial claim - Findingown data
In females with ADHD, comorbid bipolar disorder further increased the risk of alcohol abuse (p<.005).
“In females, comorbid bipolar disorder further increased the risk of alcohol, cannabis, and other illicit substance abuse (all p < .005).”
Quote in the paperSubstantial claim - Findingown data
In males with ADHD, the risk of other illicit substance abuse was increased compared to males without ADHD (HR 2.42, 95% CI 1.98-2.96).
“HR males ¼ 2.42 [1.98-2.96])”
Quote in the paperSubstantial claim - Findingown data
Among individuals with ADHD and conduct disorder, females had a higher SUD risk than males.
“as did females with ADHD and conduct disorder (CD).”
Quote in the paperSubstantial claim - Findingown data
In males with ADHD, the risk of cannabis abuse was increased compared to males without ADHD (HR 2.24, 95% CI 1.86-2.70).
“HR males ¼ 2.24 [1.86-2.70])”
Quote in the paperSubstantial claim - Findingown data
Females with ADHD had higher risk of some SUDs than males.
“although females had higher risk of some SUDs than males.”
Quote in the paperSubstantial claim - Findingown data
In individuals with ADHD alone (without any comorbidities), females had significantly higher risk of alcohol abuse than males (p=.01).
“In individuals with ADHD alone (without any of the comorbidities), females had significantly higher risk of alcohol (p ¼ .01)”
Quote in the paperSubstantial claim - Findingown data
Males with ADHD without any of 10 comorbid psychiatric disorders had increased risk of cannabis abuse (HR 4.20) compared to male controls without these disorders.
“cannabis (HR ¼ 7.15 and 4.20)”
Quote in the paperSubstantial claim - Findingown data
In females with ADHD, comorbid bipolar disorder further increased the risk of cannabis abuse (p<.005).
“In females, comorbid bipolar disorder further increased the risk of alcohol, cannabis, and other illicit substance abuse (all p < .005).”
Quote in the paperSubstantial claim - Findingown data
This nationwide, prospective, population-based cohort study found that, compared to individuals without mental disorders, children and adolescents with ADHD (N=19,645) had a 1.57- to 2.72-fold increased risk of different types of SUDs.
“This nationwide, prospective, population-based cohort study found that, compared to individuals without mental disorders, children and adolescents with ADHD (N ¼ 19,645) had a 1.57-to 2.72-fold increased risk of different types of SUDs.”
Quote in the paperSubstantial claim - Findingown data
Comorbid depression added significantly to the risk of cannabis abuse in females and males with ADHD, compared to ADHD alone (p<.05).
“Comorbid depression also added significantly to the risk of cannabis abuse in females and males with ADHD, compared to ADHD alone (p < .05).”
Quote in the paperSubstantial claim - Findingown data
Some gender differences were found in subanalyses of groups of individuals with and without different comorbid disorders.
“However, some gender differences were found in subanalyses of groups of individuals with and without different comorbid disorders.”
Quote in the paperNot a substantial claim - Findingown data
Males with ADHD without any of 10 comorbid psychiatric disorders had increased risk of other illicit substance abuse (HR 4.10) compared to male controls without these disorders.
“and other illicit substances (HR ¼ 4.79 and 4.10) abuse”
Quote in the paperSubstantial claim - Findingown data
For all comorbid conditions under study, males with ADHD did not have a significantly higher risk of SUD than females.
“For all comorbid conditions under study, males with ADHD did not have a significantly higher risk of SUD than females.”
Quote in the paperSubstantial claim - Findingown data
Among individuals with ADHD without comorbidities, females had a higher SUD risk than males.
“Among individuals with ADHD without comorbidities, females had a higher SUD risk than males”
Quote in the paperSubstantial claim - Findingown data
In females with ADHD, the risk of cannabis abuse was increased compared to females without ADHD (HR 2.72, 95% CI 2.12-3.47).
“cannabis abuse (HR females ¼ 2.72 [2.12-3.47]”
Quote in the paperSubstantial claim - Findingown data
We found very few gender differences in the association between ADHD and SUD compared to those in individuals of same gender without ADHD and when adjusting estimates for effects of potential confounders, including other psychiatric disorders.
“Importantly, we found very few gender differences in the association between ADHD and SUD compared to those in individuals of the same gender without ADHD and when adjusting estimates for effects of potential confounders, including other psychiatric disorders.”
Quote in the paperSubstantial claim - Findingown data
In the overall estimates, no gender differences were found in the association between ADHD and SUD.
“In the overall estimates, no gender differences were found.”
Quote in the paperSubstantial claim - Findingown data
In analyses not adjusted for comorbid psychiatric disorders (model 2), females with ADHD had significantly higher risks of alcohol abuse than males with ADHD when compared to individuals of same gender without ADHD (p=.005).
“in analyses not adjusted for the effect of comorbid psychiatric disorders (model 2), females with ADHD had significantly higher risks of alcohol (p ¼ .005)”
Quote in the paperSubstantial claim - Findingown data
In analyses not adjusted for comorbid psychiatric disorders (model 2), females with ADHD had significantly higher risks of cannabis abuse than males with ADHD when compared to individuals of same gender without ADHD (p<.0001).
“and cannabis (p <.0001) abuse than males with ADHD when compared to individuals of the same gender without ADHD.”
Quote in the paperSubstantial claim - Findingown data
Comorbid schizophrenia in individuals with ADHD further increased the risk of all 3 types of SUD (p<.005).
“Having comorbid ODD/CD or schizophrenia resulted in a higher risk of all 3 types of SUD, in both females and males (p < .005).”
Quote in the paperSubstantial claim - Findingown data
Among individuals with ADHD and ODD/CD, females had a significantly higher risk of cannabis abuse than males (p=.017).
“Among individuals with ADHD and ODD/CD, females also had a significantly higher risk of cannabis abuse (p ¼ .017).”
Quote in the paperSubstantial claim - Findingown data
Autism spectrum disorder in males with ADHD lowered the SUD risk.
“Autism spectrum disorder in males with ADHD lowered the SUD risk.”
Quote in the paperSubstantial claim - Findingown data
Comorbid schizophrenia further increased the risk of all 3 types of SUD in individuals with ADHD (p<.005).
“Having comorbid ODD/CD or schizophrenia resulted in a higher risk of all 3 types of SUD, in both females and males (p < .005).”
Quote in the paperSubstantial claim - Findingown data
Females and males with ADHD had comparable risks of SUD.
“Females and males with ADHD had comparable risks of SUD”
Quote in the paperSubstantial claim - Findingown data
In fully adjusted analyses, individuals with ADHD had a 1.5- to 2.6-fold increased risk of substance use, abuse, and dependence, compared to individuals without ADHD.
“In the fully adjusted analyses, individuals with ADHD had a 1.5-to 2.6-fold increased risk of substance use, abuse, and dependence, compared to individuals without ADHD.”
Quote in the paperSubstantial claim - Findingown data
In males with ADHD, the risk of alcohol abuse was increased compared to males without ADHD (HR 1.57, 95% CI 1.37-1.79).
“HR males ¼ 1.57 [1.37-1.79])”
Quote in the paperSubstantial claim - Findingown data
Males with ADHD and ASD had a significantly lower risk of all 3 types of SUD than males with ADHD alone (p<.005).
“Interestingly, males with ADHD and ASD had a significantly lower risk of all 3 types of SUD than males with ADHD alone (p < .005).”
Quote in the paperSubstantial claim - Findingown data
No gender differences in these estimated risks when adjusting for effect of comorbidities (Table 3).
“We found no gender differences in these estimated risks when adjusting for the effect of comorbidities (Table 3).”
Quote in the paperSubstantial claim - Findingown data
In females with ADHD, the risk of other illicit substance abuse was increased compared to females without ADHD (HR 2.05, 95% CI 1.54-2.73).
“other illicit substance abuse (HR females ¼ 2.05 [1.54-2.73]”
Quote in the paperSubstantial claim - Findingown data
Females with ADHD without any of 10 comorbid psychiatric disorders had increased risk of cannabis abuse (HR 7.15) compared to female controls without these disorders.
“cannabis (HR ¼ 7.15 and 4.20)”
Quote in the paperSubstantial claim - Findingown data
Individuals with ADHD without comorbidities were also at increased risk of SUD.
“Individuals with ADHD without comorbidities were also at increased risk”
Quote in the paperSubstantial claim - Findingown data
Comorbid ODD/CD further increased the risk of all 3 types of SUD in individuals with ADHD (p<.005).
“Having comorbid ODD/CD or schizophrenia resulted in a higher risk of all 3 types of SUD, in both females and males (p < .005).”
Quote in the paperSubstantial claim - Findingown data
Males with ADHD without any of 10 comorbid psychiatric disorders had increased risk of alcohol abuse (HR 1.81) compared to male controls without these disorders.
“Both females and males with ADHD who had not been diagnosed with any of the 10 different comorbid psychiatric disorders had increased risks of alcohol (HR ¼ 2.6 and 1.81, in females and males)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for males with ADHD compared to males without ADHD, the crude hazard ratio for alcohol abuse is 2.34 (95% CI 2.08-2.63).
“Males f | 30.08 | 11.21 | 2.34 (2.08e2.63) 2.03 (1.80e2.29) 1.83 (1.62e2.06) 1.57 (1.37e1.79)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, the gender difference in crude hazard ratio for alcohol abuse is statistically significant (p < .0001).
“Gender difference | - | - | p < .0001 | p ¼ .002 | p ¼ .005 | p ¼ 0.403”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, the gender difference in fully adjusted (Model 3) hazard ratio for alcohol abuse is not statistically significant (p = 0.403).
“Gender difference | - | - | p < .0001 | p ¼ .002 | p ¼ .005 | p ¼ 0.403”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for females with ADHD compared to females without ADHD, the crude hazard ratio for alcohol abuse is 3.45 (95% CI 2.89-4.11).
“Females e | 45.34 | 10.10 | 3.45 (2.89e4.11) 2.87 (2.40e3.43) 2.48 (2.07e2.97) 1.72 (1.42e2.08)”
Quote in the paperSubstantial claim - Findingown data
Even individuals with ADHD alone, who did not have any of 10 examined comorbid disorders, were at significantly increased risk for SUD.
“We also found that even individuals with ADHD alone, who did not have any of the 10 examined comorbid disorders, were at significantly increased risk for SUD.”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for males with ADHD compared to males without ADHD, the crude hazard ratio for alcohol use is 2.22 (95% CI 1.96-2.52).
“Males f | 2.22 (1.96e2.52) | 1.93 (1.70e2.19) | 1.74 (1.53e1.98) | 1.46 (1.27e1.69)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for females with ADHD, after full adjustment (Model 3), the hazard ratio for cannabis abuse is 2.72 (95% CI 2.12-3.47).
“Females | 27.56 | 1.57 | 11.44 (9.16e14.29) 8.35 (6.65e10.50) 6.58 (5.22e8.29) 2.72 (2.12e3.47)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for females with ADHD compared to females without ADHD, the crude hazard ratio for alcohol use is 3.44 (95% CI 2.87-4.11).
“Females e | 3.44 (2.87e4.11) | 2.89 (2.40e3.47) | 2.50 (2.08e3.01) | 1.76 (1.45e2.13)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for females with ADHD, after full adjustment (Model 3), the hazard ratio for alcohol abuse is 1.72 (95% CI 1.42-2.08).
“Females e | 45.34 | 10.10 | 3.45 (2.89e4.11) 2.87 (2.40e3.43) 2.48 (2.07e2.97) 1.72 (1.42e2.08)”
Quote in the paperSubstantial claim - Findingown data
ODD/CD was the only comorbid disorder to further add to increased risk of all 3 types of SUD, in both females and males with ADHD.
“In our study, ODD/CD was the only comorbid disorder to further add to the increased risk of all 3 types of SUD, in both females and males with ADHD”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for males with ADHD, after full adjustment (Model 3), the hazard ratio for other illicit substances is 2.42 (95% CI 1.98-2.96).
“Males | 22.40 | 1.97 | 6.71 (5.72e7.88) 4.92 (4.17e5.80) 4.04 (3.42e4.78) 2.42 (1.98e2.96)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for females with ADHD, after full adjustment (Model 3), the hazard ratio for other illicit substances is 2.05 (95% CI 1.54-2.73).
“Females | 23.54 | 1.40 | 9.75 (7.52e12.64) 6.89 (5.29e8.98) 5.40 (4.13e7.06) 2.05 (1.54e2.73)”
Quote in the paperSubstantial claim - Findingown data
Accounting for family history of psychiatric disorders had only small effects on associations between ADHD and SUD, with slightly lower HRs (model 2 compared to model 1).
“Comparing the results from the 3 adjustment models, accounting for family history of psychiatric disorders (in mothers, fathers, siblings, and half-siblings) had only small effects on the associations between ADHD and SUD, with slightly lower HRs (model 2 compared to model 1).”
Quote in the paperNot a substantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for males with ADHD, after full adjustment (Model 3), the hazard ratio for alcohol abuse is 1.57 (95% CI 1.37-1.79).
“Males f | 30.08 | 11.21 | 2.34 (2.08e2.63) 2.03 (1.80e2.29) 1.83 (1.62e2.06) 1.57 (1.37e1.79)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for females with ADHD compared to females without ADHD, the crude hazard ratio for other illicit substances is 9.75 (95% CI 7.52-12.64).
“Females | 23.54 | 1.40 | 9.75 (7.52e12.64) 6.89 (5.29e8.98) 5.40 (4.13e7.06) 2.05 (1.54e2.73)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, the gender difference in fully adjusted (Model 3) hazard ratio for cannabis abuse is not statistically significant (p = .186).
“Gender difference | - | - | p < .0001 | p <.0001 | p < .0001 | p ¼ .186”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for females with ADHD compared to females without ADHD, the crude hazard ratio for cannabis abuse is 11.44 (95% CI 9.16-14.29).
“Females | 27.56 | 1.57 | 11.44 (9.16e14.29) 8.35 (6.65e10.50) 6.58 (5.22e8.29) 2.72 (2.12e3.47)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for males with ADHD, after full adjustment (Model 3), the hazard ratio for cannabis abuse is 2.24 (95% CI 1.86-2.70).
“Males | 28.59 | 2.24 | 5.60 (4.80e6.53) 4.32 (3.69e5.06) 3.61 (3.08e4.24) 2.24 (1.86e2.70)”
Quote in the paperSubstantial claim - Findingown data
Only a few of other comorbid conditions increased risk of SUD further, including schizophrenia, bipolar disorder, and personality disorders.
“Only a few of the other comorbid conditions increased the risk of SUD further, including schizophrenia, bipolar disorder, and personality disorders”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, the gender difference in crude hazard ratio for alcohol use is statistically significant (p < .0001).
“Gender difference | p < .0001 | p < .0001 | p ¼ .001 | p ¼ .111”
Quote in the paperSubstantial claim - Findingown data
In none of our analyses, males with ADHD had higher risk of SUD than females with ADHD.
“In none of our analyses, males with ADHD had higher risk of SUD than females with ADHD.”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for males with ADHD compared to males without ADHD, the crude hazard ratio for other illicit substances is 6.71 (95% CI 5.72-7.88).
“Males | 22.40 | 1.97 | 6.71 (5.72e7.88) 4.92 (4.17e5.80) 4.04 (3.42e4.78) 2.42 (1.98e2.96)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, the gender difference in crude hazard ratio for cannabis abuse is statistically significant (p < .0001).
“Gender difference | - | - | p < .0001 | p <.0001 | p < .0001 | p ¼ .186”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for males with ADHD compared to males without ADHD, the crude hazard ratio for cannabis abuse is 5.60 (95% CI 4.80-6.53).
“Males | 28.59 | 2.24 | 5.60 (4.80e6.53) 4.32 (3.69e5.06) 3.61 (3.08e4.24) 2.24 (1.86e2.70)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for females with ADHD compared to females without ADHD, the crude hazard ratio for alcohol dependence is 11.20 (95% CI 9.03-13.87).
“Females | 11.20 (9.03e13.87) | 8.12 (6.51e10.11) | 6.29 (5.03e7.86) | 2.40 (1.90e3.04)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, the gender difference in fully adjusted (Model 3) hazard ratio for alcohol abuse is not statistically significant (p = .349).
“Gender difference | p ¼ .024 | p ¼ .055 | p ¼ .106 | p ¼ .349”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, the gender difference in fully adjusted hazard ratio for other substances among those with ADHD alone is not statistically significant (p = .52).
“Gender difference | p ¼ .01 | p ¼ .01 | p ¼ .52”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for males with ADHD compared to males without ADHD, the crude hazard ratio for alcohol abuse is 5.62 (95% CI 4.80-6.57).
“Males | 5.62 (4.80e6.57) | 4.38 (3.73e5.14) | 3.78 (3.21e4.44) | 2.29 (1.88e2.77)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, the gender difference in fully adjusted hazard ratio for alcohol abuse among those with ADHD alone is statistically significant (p = .01).
“Gender difference | p ¼ .01 | p ¼ .01 | p ¼ .52”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for females with ADHD compared to females without ADHD, the crude hazard ratio for alcohol abuse is 7.87 (95% CI 6.14-10.08).
“Females | 7.87 (6.14e10.08) | 5.85 (4.55e7.53) | 4.83 (3.74e6.23) | 1.98 (1.51e2.59)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for males with ADHD, after full adjustment (Model 3), the hazard ratio for alcohol use is 1.46 (95% CI 1.27-1.69).
“Males f | 2.22 (1.96e2.52) | 1.93 (1.70e2.19) | 1.74 (1.53e1.98) | 1.46 (1.27e1.69)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for males with ADHD alone, the fully adjusted hazard ratio for other substances is 4.10 (95% CI 3.24-5.21).
“Males | 1.81 (1.54e2.14) | 4.20 (3.36e5.24) | 4.10 (3.24e5.21)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for males with ADHD compared to males without ADHD, the crude hazard ratio for alcohol dependence is 6.42 (95% CI 5.59-7.37).
“Males | 6.42 (5.59e7.37) | 4.80 (4.16e5.53) | 3.97 (3.43e4.58) | 2.61 (2.21e3.09)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for females with ADHD alone, the fully adjusted hazard ratio for other substances is 4.79 (95% CI 3.16-7.26).
“Females | 2.61 (2.05e3.33) | 7.15 (5.07e10.09) | 4.79 (3.16e7.26)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for females with ADHD, after full adjustment (Model 3), the hazard ratio for alcohol dependence is 2.40 (95% CI 1.90-3.04).
“Females | 11.20 (9.03e13.87) | 8.12 (6.51e10.11) | 6.29 (5.03e7.86) | 2.40 (1.90e3.04)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for females with ADHD alone, the fully adjusted hazard ratio for alcohol abuse is 2.61 (95% CI 2.05-3.33).
“Females | 2.61 (2.05e3.33) | 7.15 (5.07e10.09) | 4.79 (3.16e7.26)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, the gender difference in fully adjusted (Model 3) hazard ratio for alcohol use is not statistically significant (p = .111).
“Gender difference | p < .0001 | p < .0001 | p ¼ .001 | p ¼ .111”
Quote in the paperNot a substantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for females with ADHD, after full adjustment (Model 3), the hazard ratio for alcohol abuse is 1.98 (95% CI 1.51-2.59).
“Females | 7.87 (6.14e10.08) | 5.85 (4.55e7.53) | 4.83 (3.74e6.23) | 1.98 (1.51e2.59)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, the gender difference in crude hazard ratio for alcohol dependence is statistically significant (p < .0001).
“Gender difference | p < .0001 | p < .0001 | p ¼ .001 | p ¼ .540”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, the gender difference in crude hazard ratio for alcohol abuse is statistically significant (p = .024).
“Gender difference | p ¼ .024 | p ¼ .055 | p ¼ .106 | p ¼ .349”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for males with ADHD alone, the fully adjusted hazard ratio for alcohol abuse is 1.81 (95% CI 1.54-2.14).
“Males | 1.81 (1.54e2.14) | 4.20 (3.36e5.24) | 4.10 (3.24e5.21)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for males with ADHD, after full adjustment (Model 3), the hazard ratio for alcohol dependence is 2.61 (95% CI 2.21-3.09).
“Males | 6.42 (5.59e7.37) | 4.80 (4.16e5.53) | 3.97 (3.43e4.58) | 2.61 (2.21e3.09)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, the gender difference in fully adjusted hazard ratio for cannabis abuse among those with ADHD alone is statistically significant (p = .01).
“Gender difference | p ¼ .01 | p ¼ .01 | p ¼ .52”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for males with ADHD, after full adjustment (Model 3), the hazard ratio for alcohol abuse is 2.29 (95% CI 1.88-2.77).
“Males | 5.62 (4.80e6.57) | 4.38 (3.73e5.14) | 3.78 (3.21e4.44) | 2.29 (1.88e2.77)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for females with ADHD, after full adjustment (Model 3), the hazard ratio for alcohol use is 1.76 (95% CI 1.45-2.13).
“Females e | 3.44 (2.87e4.11) | 2.89 (2.40e3.47) | 2.50 (2.08e3.01) | 1.76 (1.45e2.13)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, for females with ADHD alone, the fully adjusted hazard ratio for cannabis abuse is 7.15 (95% CI 5.07-10.09).
“Females | 2.61 (2.05e3.33) | 7.15 (5.07e10.09) | 4.79 (3.16e7.26)”
Quote in the paperSubstantial claim - Findingown data
In a nationwide cohort of all children born in Denmark 1990 to 2003, the gender difference in fully adjusted (Model 3) hazard ratio for alcohol dependence is not statistically significant (p = .540).
“Gender difference | p < .0001 | p < .0001 | p ¼ .001 | p ¼ .540”
Quote in the paperSubstantial claim - Interpretationown data
ADHD increased the risk of all SUD outcomes.
“ADHD increased the risk of all SUD outcomes.”
Quote in the paperSubstantial claim - Study design and conductnone given
Diagnoses in the registers are clinical diagnoses, not the result of systematic, well-described, uniform assessments.
“Diagnoses in the registers are clinical diagnoses, not the result of systematic, well-described, uniform assessments.”
Quote in the paperNot a substantial claim - Study design and conductreasoning
The selection of cohorts for our study means that the risk of SUD after the age of 23 years was not estimated.
“The selection of cohorts for our study means that the risk of SUD after the age of 23 years was not estimated.”
Quote in the paperNot a substantial claim - Premisecitation
Females and males with ADHD can have different patterns of comorbid conditions.
“Females and males with ADHD can have different patterns of comorbid conditions”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [48] Rucklidge, 2008, Gender differences in ADHD: implications for psychosocial treatments, Expert Rev Neurotherapeut source
- Premisecitation
Among children diagnosed with ADHD, females are less likely to receive pharmacological treatment compared to males with ADHD.
“and among children diagnosed with ADHD, females are less likely to receive pharmacological treatment compared to males with ADHD.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [51] Dalsgaard, 2014, Gender and injuries predict stimulant medication use, J Child Adolesc Psychopharmacol source
- Study design and conductcitation
The validity of the clinical ADHD diagnoses in the registers all obtained from public hospital departments has previously been shown to be high.
“The validity of the clinical ADHD diagnoses in the registers all obtained from public hospital departments has previously been shown to be high”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [53] Linnet, 2009, Coffee consumption during pregnancy and the risk of hyperkinetic disorder and ADHD: a prospective cohort study, Acta Paediatr source
- cites [54] Dalsgaard, 2001, Reassessment of ADHD in a historical cohort of children treated with stimulants in the period 1969-1989, Eur Child Adolesc Psychiatry source
- Classified as probably not a substantial claim. 7
- The quote only partly states this claim. 5
- May combine two claims. 10
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDiagnostic and treatment practices in Denmark are conservative compared to those of many other countries.
“and diagnostic and treatment practices in Denmark are conservative compared to those of many other countries.”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites [55] Dalsgaard, 2012, Relative standards in ADHD diagnoses: the role of specialist behavior, Econ Lett source
- cites [56] Dalsgaard, 2014, Common Danish standards in prescribing medication for children and adolescents with ADHD, Eur Child Adolesc Psychiatry source
- cites [57] Dalsgaard, 2013, J Child Adolesc Psychopharmacol source
The Discussion (page unavailable) reports lower ADHD-medication prevalence in Denmark than in many other Western countries and says only authorized specialists can initiate ADHD treatment for youth. This supports a narrower claim about ADHD medication, but the paper does not establish that Danish diagnostic practices, or treatment practices generally, are more conservative. (LLM, conf=0.85)
Experimental — accuracy not yet measured
The quote only partly states this claim.
Findingown dataComorbid depression further increased the risk of SUD in individuals with ADHD compared to non-ADHD.
“Comorbid depression also added significantly to the risk of cannabis abuse in females and males with ADHD, compared to ADHD alone (p < .05).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMales with ADHD and ASD had an increased risk of cannabis abuse only when compared to individuals without these psychiatric disorders, not an increased risk of alcohol or other illicit substance abuse.
“In fact, males with ADHD and ASD had an increased risk of cannabis abuse only when compared to individuals without these psychiatric disorders, not an increased risk of alcohol or other illicit substance abuse.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataComorbid bipolar disorder further increased the risk of SUD in individuals with ADHD compared to non-ADHD.
“In females, comorbid bipolar disorder further increased the risk of alcohol, cannabis, and other illicit substance abuse (all p < .005).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAdjusting for effect of comorbid disorders in individuals with ADHD had much stronger effects, and HRs were significantly lowered (model 3).
“However, adjusting for the effect of comorbid disorders in the individuals with ADHD had much stronger effects, and HRs were significantly lowered (model 3).”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataIn a nationwide cohort of all children born in Denmark 1990 to 2003, the gender difference in crude hazard ratio for other illicit substances is statistically significant (p = .016).
“Gender difference | - | - | p ¼ .016 | p ¼ .033 | p ¼ .067 | p ¼ .305”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataIn a nationwide cohort of all children born in Denmark 1990 to 2003, the gender difference in fully adjusted (Model 3) hazard ratio for other illicit substances is not statistically significant (p = .305).
“Gender difference | - | - | p ¼ .016 | p ¼ .033 | p ¼ .067 | p ¼ .305”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataIn a nationwide cohort of all children born in Denmark 1990 to 2003, for males with ADHD alone, the fully adjusted hazard ratio for cannabis abuse is 4.20 (95% CI 3.36-5.24).
“Males | 1.81 (1.54e2.14) | 4.20 (3.36e5.24) | 4.10 (3.24e5.21)”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataAlthough in crude and partially adjusted models, females did have significantly higher risk of SUD than males with ADHD, this was explained mainly by differences in comorbidities, as no statistically significant gender differences were found in fully adjusted analyses.
“Although in the crude and partially adjusted models, females did have significantly higher risk of SUD than males with ADHD, this was explained mainly by differences in comorbidities, as no statistically significant gender differences were found in the fully adjusted analyses.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThis may have biased our results, as comorbidities of moderate to severe severity may more likely have been diagnosed as compared to individuals with less severe or less impairing comorbid conditions.
“This may have biased our results, as comorbidities of moderate to severe severity may more likely have been diagnosed as compared to individuals with less severe or less impairing comorbid conditions.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductnone givenWe were not able to include use of nicotine in individuals with ADHD, and the estimated risk of SUD may have been underestimated due to this.
“In addition, we were not able to include use of nicotine in individuals with ADHD, and the estimated risk of SUD may have been underestimated due to this.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningBias in selection of study population and nondifferentiated attrition during follow-up are unlikely explanations of our findings.
“Thus, bias in selection of study population and nondifferentiated attrition during follow-up are unlikely explanations of our findings.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFemales with ADHD are often perceived as less impaired than males with ADHD.
“although females with ADHD are often perceived as less impaired than males with ADHD”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [49] Quinn, 2004, Perceptions of girls and ADHD: results from a national survey, MedGenMed
May combine two claims.
Study design and conductreasoningThe extensive Danish registers provide detailed information about birth characteristics, SES, familial history of psychiatric disorders, and psychiatric disorders of the children themselves, which enabled adjustment for these possible confounders and also follow-up of exposure and outcomes over the course of time, by applying time-dependent variables in a time-to-event model.
“The extensive Danish registers provide detailed information about birth characteristics, SES, familial history of psychiatric disorders, and psychiatric disorders of the children themselves, which enabled adjustment for these possible confounders and also follow-up of exposure and outcomes over the course of time, by applying time-dependent variables in a time-to-event model.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationcitationThis contrasts with findings from a meta-analysis of 15 studies... which found that individuals with ADHD without comorbid ODD/CD were not at increased risk for SUD.
“This contrasts with findings from a meta-analysis of 15 studies including 1,000 participants (ADHD and controls), which found that individuals with ADHD without comorbid ODD/CD were not at increased risk for SUD.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [16] Serra-Pinheiro, 2013, Is ADHD a risk factor independent of conduct disorder for illicit substance use? A meta-analysis and metaregression investigation, J Atten Disord source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningPrevalence of comorbid disorders was lower than in some other studies, and this may be due to underreporting of comorbidities in the registers.
“Prevalence of comorbid disorders was lower than in some other studies, and this may be due to underreporting of comorbidities in the registers.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningWe included only children diagnosed with ADHD at a hospital department, and these individuals may have more impairing ADHD than those diagnosed by child and adolescent psychiatrists in private practices, and our results may not be generalizable to the latter.
“We included only children diagnosed with ADHD at a hospital department, and these individuals may have more impairing ADHD than those diagnosed by child and adolescent psychiatrists in private practices, and our results may not be generalizable to the latter.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFemales tend to be diagnosed with ADHD at an older age than males.
“In addition, females tend to be diagnosed with ADHD at an older age than males”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [50] Dalsgaard, 2015, Effect of drugs on the risk of injuries in children with attention deficit hyperactivity disorder: a prospective cohort study, Lancet Psychiatry source
May combine two claims.
Study design and conductnone givenWe studied a nationwide population-based cohort including all children born in Denmark between 1990 and 2003, with almost complete follow-up data for up to 22 years.
“We studied a nationwide population-based cohort including all children born in Denmark between 1990 and 2003, with almost complete follow-up data for up to 22 years.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataOur study had stronger power to assess effects of comorbid ODD/CD, and estimated fully adjusted risk of SUD in individuals without such comorbidity.
“However, compared to the meta-analysis, our study had stronger power to assess the effects of comorbid ODD/CD, and estimated the fully adjusted risk of SUD in individuals without such comorbidity.”
Quote in the paperSubstantial claim
The paper relies on this without support.
SUD diagnoses recorded in the Danish registers are valid and complete enough to estimate associations with ADHD.
“Diagnoses in the registers are clinical diagnoses, not the result of systematic, well-described, uniform assessments.”
The paper relies on this without support.
The measured covariates (birth characteristics, SES, family psychiatric history) adequately control for confounding of the ADHD-SUD association.
“The extensive Danish registers provide detailed information about birth characteristics, SES, familial history of psychiatric disorders, and psychiatric disorders of the children themselves, which enabled adjustment for these possible confounders”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Overall cannabis incidence falls below both gender-specific rates
MajorThe reported overall cannabis incidence rate for children with ADHD is 25.0 per 10,000 person-years. It cannot be lower than both the female rate of 27.56 and the male rate of 28.59 for the same group.
“In individuals with ADHD, the IRs were 44.3 for alcohol abuse, 25.0 for cannabis abuse, and 28.7 for abuse of other illicit substances.”
“| Females | 27.56 | 1.57 | 11.44 (9.16e14.29) 8.35 (6.65e10.50) 6.58 (5.22e8.29) 2.72 (2.12e3.47) | | | | | Males | 28.59 | 2.24 | 5.60 (4.80e6.53) 4.32 (3.69e5.06) 3.61 (3.08e4.24) 2.24 (1.86e2.70) | | | |”
Overall illicit-substance incidence exceeds both gender-specific rates
MajorThe reported overall rate of 28.7 per 10,000 person-years is higher than both the female rate of 23.54 and the male rate of 22.40. A combined incidence rate for these groups must lie between their rates.
“In individuals with ADHD, the IRs were 44.3 for alcohol abuse, 25.0 for cannabis abuse, and 28.7 for abuse of other illicit substances.”
“| Females | 23.54 | 1.40 | 9.75 (7.52e12.64) 6.89 (5.29e8.98) 5.40 (4.13e7.06) 2.05 (1.54e2.73) | | | | | Males | 22.40 | 1.97 | 6.71 (5.72e7.88) 4.92 (4.17e5.80) 4.04 (3.42e4.78) 2.42 (1.98e2.96) | | | |”
Female ADHD sibling-history percentage does not match its count
MinorTable S3 lists 4,208 females with ADHD as having no sibling history of psychiatric illness, but labels that count 78.30%. Against the stated total of 5,144 females with ADHD, the count represents 81.80%.
Reported 78.3 · recomputed 81.804044
“Siblings' history of psychiatric illness None 322,508 (92.45) 4,208 (78.30) 332,523 (92.65) 11,819 (81.50)”
Female ADHD education percentage does not match its count
MinorTable S3 reports 2,098 females with ADHD in the high-school-diploma category as 14.14%. Even using all 5,144 females with ADHD as the denominator gives 40.79%; excluding any missing education records would increase that percentage.
Reported 14.14 · recomputed 40.785381
“High school diploma 164,447 (47.29) 2,098 (14.14) 168,849 (47.20) 6,187 (42.94)”
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Exploring comorbidity within mental disorders among a Danish national population
Plana-Ripoll, O., Pedersen, C. B., Holtz, Y., Benros, M. E., Dalsgaard, S., de Jonge, P., Fan, C. C., Degenhardt, L., Ganna, A., Greve, A. N., et al. (2019) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2018.3658 · Cited by 584 · see citing works
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“Few studies have investigated whether these comorbidities differ between men and women (26, 27), and large epidemiological studies of good quality are still lacking (7, 18).”
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“ADHD in children is also associated with a substantial national economic burden due to increased healthcare and educational costs (Schein et al. 2022), as well as academic underachieve-ment (Holmberg and Bölte 2014), substance abuse disorder (SUD) (Ottosen et al. 2016), and social functioning impairments in later life…”
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Self-citationChildhood epilepsy, febrile seizures, and subsequent risk of ADHD
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“8–9) (40,41) who were 18 years of age or older, were registered in the NPR during 2008 to 2015, and had no ADHD diagnosis.”
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“…comorbidities were also reported in the female population such as higher rates of depression, pointing out that although ADHD is more common in males than in females, the disorder is just as disruptive in females although it may have a different and more masked presentation (Ottosen et al., 2016).”
BackgroundBalázs, J., Győri, D., Horváth, L. O., Mészáros, G., & Szentiványi, D. (2018) · BMC Psychiatry · doi:10.1186/s12888-018-1620-3 · Cited by 58 · see citing works
ADHD Attention Deficit and Hyperactivity Disorders
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Self-citationThe longitudinal associations between internet addiction and ADHD symptoms among adolescents
Wang, J.-L., Yin, X.-Q., Wang, H.-Z., King, D. L., & Rost, D. H. (2024) · Journal of Behavioral Addictions · doi:10.1556/2006.2023.00080 · Cited by 32 · see citing works
“This finding indicates that Internet addiction may aggravate impulsivity problems across time, and impulsivity may further lead to more Internet addiction symptoms.”
BackgroundAttention Deficit Hyperactivity Disorder (ADHD) in the Prison System
Young, S., & Cocallis, K. (2019) · Current Psychiatry Reports · doi:10.1007/s11920-019-1022-3 · Cited by 32 · see citing works
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Yule, A. M., Martelon, M., Faraone, S. V., Carrellas, N. W., Wilens, T. E., & Biederman, J. (2016) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2016.10.018 · Cited by 23 · see citing works
Castellano-García, F., Benito, A., Jovani, A., Fuertes-Sáiz, A., Marí-Sanmillán, M. I., & Haro, G. (2022) · Brain Sciences · doi:10.3390/brainsci12050590 · Cited by 23 · see citing works
Hjorthøj, C. R., Uddin, M. J., Wimberley, T., Dalsgaard, S., HOUGAARD, D. M., Børglum, A. D., Werge, T. M., & Nordentoft, M. (2019) · Psychological Medicine · doi:10.1017/s0033291719003362 · Cited by 21 · see citing works
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Assessment and treatment of substance use in adults with ADHD: a psychological approach
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Essau, C. A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-818626-8.00011-6 · Cited by 15 · see citing works
Vélez‐Pastrana, M. C., González, R. A., Ramos-Fernández, A., Padilla, R. R. R., LEVIN, F. R., & Albizu‐García, C. E. (2020) · European Addiction Research · doi:10.1159/000508829 · Cited by 16 · see citing works
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Froude, A. M., Fawcett, E. J., Coles, A. R. L., Drakes, D. H., Harris, N., & Fawcett, J. M. (2024) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2024.02.050 · Cited by 15 · see citing works
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Adult outcomes of childhood disruptive disorders in offspring of depressed and healthy parents
Díaz, A. P., Svob, C., Zhao, R., DiFabrizio, B., Warner, V., Gameroff, M. J., Skipper, J., Gingrich, J. A., Posner, J. E., WICKRAMARATNE, P. J., et al. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.10.086 · Cited by 11 · see citing works
Conners 3–Self-Report Scale: An empirical support to the dimensionality of the content scales
Izzo, V. A., Donati, M. A., & Primi, C. (2018) · Clinical Child Psychology and Psychiatry · doi:10.1177/1359104518757289 · Cited by 11 · see citing works
ADHD in Females Across the Lifespan and the Role of Estrogen
Littman, E., Dean, J. M., Wagenberg, B., & Wasserstein, J. (2021) · The ADHD Report · doi:10.1521/adhd.2021.29.5.1 · Cited by 10 · see citing works
Coetzee, C., Truter, I., & Meyer, A. (2022) · South African Journal of Psychiatry · doi:10.4102/sajpsychiatry.v28i0.1786 · Cited by 9 · see citing works
López-Toro, E., Wolf, C. J. H., González, R. A., van den Brink, W., Schellekens, A., Vélez‐Pastrana, M. C., & on behalf of the AFP Working Collaborative Group (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11102883 · Cited by 9 · see citing works
David, D. O., Dobrean, A., Poetar, C.-R., Iftene, F., Lupu, V., Predescu, E., & Döpfner, M. (2020) · Cognitive Therapy and Research · doi:10.1007/s10608-020-10157-6 · Cited by 8 · see citing works
“2011; Sacchetti and Lefler 2014), academic achievement (Holmberg and Bölte 2014), substance abuse (Ottosen et al. 2016), incarceration (Young et al.”
BackgroundMoldekleiv, C. D., Lundervold, A. J., Solberg, B. S., Engeland, A., Fadnes, L. T., Chalabianloo, F., & Klungsøyr, K. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-07305-1 · Cited by 8 · see citing works
“In an earlier study by Ottosen et al. [34] females with ADHD were found to have higher increase in risk of alcohol and cannabis abuse than males, but not when adjusting for additional psychiatric comorbidities.”
InfluentialNelson, T., East, P. L., Delva, J., Lozoff, B., & Gahagan, S. (2019) · Journal of Developmental & Behavioral Pediatrics · doi:10.1097/dbp.0000000000000661 · Cited by 6 · see citing works
“Adolescents with ADHD, all subtypes, have increased risk for alcohol use and substance abuse, even after controlling for symptoms associated with conduct disorder and oppositional defiant disorder.(6) The relationship between parent and child plays an important role in the formation of child development and behavior.”
Nielsen, T. T., Duan, J., Levey, D. F., Walters, G. B., Johnson, E. C., Thorgeirsson, T. E., Program, V. M. V., Levey, D. F., Gelernter, J. E., Werge, T. M., et al. (2024) · Nature Mental Health · doi:10.1038/s44220-024-00277-3 · Cited by 5 · see citing works
“It should be noted that comorbid conditions in ADHD, including conduct disorder and SCZ, are known to affect CUD risk 58 .”
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“Past studies on comorbidity are limited to specific geographic regions or subsets of mental disorders and/or have relied on self-reports (Ottosen et al. 2016; Plana-Ripoll et al. 2019; Konrad et al. 2022).”
BackgroundGender differences in ADHD and impulsivity among alcohol or alcohol- and cocaine-dependent patients
Roncero, C., Remón-Gallo, D., García-Ullán, L., Vicente-Hernández, B., Buch-Vicente, B., Palma-Álvarez, R. F., Grau‐López, L., González-Bolaños, K. R., Álvarez-Navares, A. I., Pérez, J., et al. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1446970 · Cited by 4 · see citing works
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Jensen, C. M., & Breindahl, T. (2018) · ADHD Attention Deficit and Hyperactivity Disorders · doi:10.1007/s12402-018-0282-9 · Cited by 3 · see citing works
Hormonal effects on externalizing problems in females across the lifespan.
Martel, M. M., Eng, A. G., Nirjar, U., Petersen, M., Ramirez, M. P., Litteral, C. A., & Robinson, L. E. (2025) · Frontiers in neuroendocrinology (Print) · doi:10.1016/j.yfrne.2025.101206 · Cited by 3 · see citing works
Evaluación del Consumo de Drogas en Adolescentes con y sin TDAH. Nuevas Evidencias y Recomendaciones
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“Algunos autores apuntan como causa de estas diferencias el hecho de que las jóvenes son diagnosticadas más tarde con TDAH y, por lo tanto, acceden más tarde al tratamiento (Ottosen et al., 2016).”
BackgroundInfluentialWięckiewicz, G., Stokłosa, I., Stokłosa, M., Więckiewicz, W., Gorczyca, P. W., & Gondek, T. M. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1184023 · Cited by 3 · see citing works
“A 2016 study found that women are statistically more likely to become addicted to marijuana, as well as alcohol (30).”
BackgroundADHD and Substance Abuse in Children and Adolescents
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Policy Issues Affecting the Health of Older Individuals in the United States
Ozobokeme, O.-E., Okobi, O. E., Udo, U. A., Boms, M. G., Adeosun, A. A., Koko, J., Agu, C., Izundu, I. C., Egberuare, E. O., & Ogunlami, O. A. (2022) · International Journal Of Scientific Advances · doi:10.51542/ijscia.v3i6.15 · Cited by 1 · see citing works
ADHD and Alcohol/Substance Use Disorder
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Adam-Keßler, U., Aigner, P., Bassler, M., Fischer, T., Frese, C., Kissig, A.-K., Köllner, V., Krause, S. R.-M., Kupferschmitt, A. A., Kupsch, W., et al. (2020) · Elsevier eBooks · doi:10.1016/b978-3-437-22611-3.00008-0
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“In agreement with our results, most previous studies [45–47] reported no significant effect of socioeconomic status or residence (urban versus rural) on the occurrence of SUD in youth with ADHD.”
Rosch, K., Hyde, C., Fuelscher, I., Crocetti, D., Singh, M., & Mostofsky, S. (2025) · Developmental Medicine & Child Neurology · doi:10.1111/dmcn.16395
Kauppinen, I., Miettunen, J., Nordström, T., Halt, A., & Hurtig, T. M. (2026) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-025-03027-7
Comparative Analysis of Main Methods for ADHD Diagnosis Using EEG – systematic review
Nikolova, E. G. (2025) · International Conference Automatics and Informatics (ICAI) · doi:10.1109/icai67591.2025.11325071
“Based on this data, conclusions are drawn regarding the presence of various disorders, including ADHD [32, 34, 36, 37, 39].”
Jean, F. A. M. (2023) · theses.fr (ABES) · doi:10.70675/4f836fa7z0a4ez4eb1z9364z9a264cce0262
- Authors
- Ottosen, C., Petersen, L., Larsen, J. T., & Dalsgaard, S.
- Affiliations
- Aarhus University (DK)
- Corresponding author
- Dalsgaard, Søren
- Venue
- Journal of the American Academy of Child & Adolescent Psychiatry
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 55
- Issue
- 3
- Pages
- 227-234.e4
- ISSN
- 0890-8567 (ISSN-L)
- OpenAlex
- W2200089041
- Cited by
- 67
- References
- 63
- Citations by year
- 2026: 1 · 2025: 7 · 2024: 5 · 2023: 6 · 2022: 4 · 2021: 9 · 2020: 7 · 2019: 7 · 2018: 6 · 2017: 8 · 2016: 6 · 2013: 1
- FWCI
- 4.22
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of the American Academy of Child & Adolescent Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Prenatal Substance Exposure Effects
- Keywords
- attention deficit hyperactivity disorder, substance use disorders, gender differences, comorbidities, alcohol abuse, cannabis use disorder, conduct disorder, depression
- MeSH terms
- Adolescent, Attention Deficit Disorder with Hyperactivity, Child, Child, Preschool, Denmark, Female, Humans, Male
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