Table 1.
Study | Study Site | Study Design | n | Number with ADHD in Study | Outcome | Diagnostic Method | Type of Adjusted Factors a | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Gender | SES | Psyc. History |
Prenatal | Parental Age | Exposure | |||||||
Chang et al. (2014) [23] | Sweden | Cohort | 1,495,543 | 30,674 | ADHD | ICD–10 | ✓ | ✓ | ✓ | |||
Chudal R. et al. (2015) [20] | Finland | Case-control | 49,534 | 10,409 | ADHD | ICD–10 | ✓ | ✓ | ✓ | ✓ | ✓ | |
Galera et al. (2011) [25] | Canada | cohort | 2057 | 330 | ADHD | DSM–IV | ✓ | ✓ | ✓ | ✓ | ✓ | |
Gustafsson et al. (2011) [18] | Sweden | Case-control | 32,012 | 237 | ADHD | DSM–III–R, DSM–IV | ✓ | ✓ | ✓ | |||
Hvolgaard et al. (2017) [22] | Danish | Sibling cohort | 943,785 | 12,294 | ADHD | ICD–10 | ✓ | ✓ | ✓ | ✓ | ||
Janecka et al. (2019) [21] | Danish | Cohort | 1,490,745 | 25,307 | ADHD | ICD–10 | ✓ | ✓ | ✓ | ✓ | ||
Kim et al. (2020) [19] | Korea | Case-control | 28,973 | 2112 | ADHD | K–ARS | ✓ | ✓ | ✓ | ✓ | ||
Sauver et al. (2004) [26] | America | Case-control | 5701 | 305 | ADHD | DSM–IV | ✓ | ✓ | ✓ | |||
Sciberras et al. (2011) [17] | Australia | Cohort | 4464 | 57 | ADHD | DSM–IV | ||||||
Silva et al. (2014) [24] | Australia | Case-control | 43,062 | 12,991 | ADHD | DSM–IV | ||||||
Wang et al. (2019) [27] | America | Cohort | 321,272 | 16,385 | ADHD | DSM–IV | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Note: SES, social–economic status. a Confounding represents model covariates for gender, social–economic status (parental educational level, household income), psychiatric history (parental psychiatric history), prenatal situation (birth order, birth year, birth weight, gestational age, Apgar score, history of comorbidity), parental age (adjusted maternal age for paternal age), exposure (prenatal tobacco exposure, prenatal alcohol exposure, prenatal illegal drug exposure).