Differential perinatal risk factors in children with attention-deficit/hyperactivity disorder by subtype
Introduction
The worldwide-pooled prevalence of attention-deficit hyperactivity disorder (ADHD) is reportedly 5.29% (Polanczyk and Rohde, 2007). ADHD presents with symptoms of inattention, hyperactivity/impulsivity or both. The consequences of this disorder are well recognized and include the inability to thrive in both school and social settings. The genetic heritability of ADHD is reported to be approximately 75% (Faraone et al., 2005), and environmental factors such as perinatal risk factors are estimated to account for 25% of the development of ADHD (Ben Amor et al., 2005).
The Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) classifies ADHD into three subtypes, inattentive [ADHD-I], hyperactive/impulsive [ADHD-H], and combined [ADHD-C]), based on clinical phenomenology. In the last decade, a heated debate has emerged regarding whether ADHD-I is a separate disorder rather than a subtype of ADHD (Milich et al., 2001). Although ADHD-C and ADHD-I patients both have problems with inattention, the type of inattention suffered by these two groups may be different. In particular, the truly inattentive type of ADHD (ADHD-I without hyperactivity) has been proposed as a potentially separate condition from ADHD, which includes hyperactivity (Diamond, 2005). In the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (AmericanPsychiatricAssociation, 2013), ), subtypes have been replaced by the similarly defined “specifiers” in the current presentation.
Many comorbidities are associated with ADHD, including conduct disorder (CD)(Rhee et al., 2008), oppositional defiant disorder (ODD)(Gadow et al., 2007), anxiety disorder (Bowen et al., 2008), and depression (Blackman et al., 2005). Faraone et al. (1998) found that children with ADHD-C had more ODD and CD than children with ADHD-I or ADHD-H. They also found that although all three subtypes presented with the same level of anxiety disorders, both ADHD-C and ADHD-I were significantly associated with increased rates of depressive disorders compared to ADHD-H. Gaub and Carlson (1997) found that children with combined and hyperactive subtypes have more externalizing behaviors than those with the inattentive subtype and controls. However, they also found that ADHD-C and ADHD-I patients have higher levels of internalizing disorders than ADHD-H patients and controls.
The current phenotypic classification of ADHD subtypes raises the question of whether ADHD-I and ADHD-C are different at a more fundamental level, i.e., whether differences may be present at the neuropsychological measurement levels that are not present at the level of clinical psychiatric measurements. Deficits in executive functioning and attentional processes are supposed to be the central pathophysiology of ADHD. When subtypes are taken into account, the inhibition deficit seems to be uniquely linked to ADHD-C (Barkley, 1997, Houghton et al., 1999, Klorman et al., 1999, Nigg et al., 2002), although contradictory findings have emerged regarding other EFs, such as visual working memory, planning, cognitive flexibility, and verbal fluency (Paternite et al., 1996, Klorman et al., 1999, Lockwood et al., 2001, Nigg et al., 2002). Although previous research has often failed to find significant differences in attentional performance as measured by a continuous performance test (CPT) between ADHD-I and ADHD-C (Paternite et al., 1996, Barkley, 1997), a study by Collings(Collings, 2003) produced more subtle findings; the performance of an ADHD-C group deteriorated much faster than that of an ADHD-I or control group, which led to the conclusion that only the former subtype displays a sustained attention deficit.
Three articles reviewing work comparing ADHD-C and ADHD-I have all underscored the paucity of studies comparing the etiologies of the two subtypes in terms of genetics and environmental factors (Milich et al., 2001, Woo and Rey, 2005, Baeyens et al., 2006). Although environmental factors may have less effect on the development of ADHD than genetic factors, they are important, particularly in public mental health perspectives, because of their preventable nature. Studies on environmental factors have associated the risk for ADHD with low birth weight (Linnet et al., 2006), maternal smoking (Linnet et al., 2003), maternal alcohol consumption (Mick et al., 2002), and maternal stress during pregnancy (Grizenko et al., 2008). Oades (2011) found that in ADHD children more than in controls, a stress-associated perinatal experience was related to the balance of metabolites of the tryptophan/kynurenine pathway and cytokine activity, which are associated with ADHD symptoms and attention-related performance (Oades et al., 2010). These results suggest that certain types of perinatal stress could contribute to the ADHD phenotype by altering certain aspects of the tryptophan/kynurenine pathway and cytokine activity. However, we know of only one study comparing perinatal risk factors for ADHD according to subtype; Grizenko et al. (2010) reported that ADHD-Cchildren are exposed to more moderate to severe stress during their mothers’ pregnancies than are ADHD-I children.
In terms of genetics, the fact that ADHD has a high population frequency, that twin studies show clinical heterogeneity, and that linkage analyses in families have proven the heterogeneity of linkage shows that multiple genes must have major or minor effects on a variety of genetic subtypes (Sharp et al., 2009). Genes with dominant effects associated with ADHD-subtype phenotypes have been proposed (Acosta et al., 2004). Some studies linking genetic variants to ADHD provide clues to ADHD subtype differences at a molecular genetic level. For example, Waldman et al. (1998) reported that the number of dopamine transporter (DAT1) high-risk alleles (10 repeats in the variable number of tandem repeats) was directly associated with the number of hyperactive-impulsive symptoms but not with the number of inattention symptoms in a group of 117 probands. They also found a linkage disequilibrium for the 10-repeat allele in the ADHD-C group but not in the ADHD-I group when examining 122 families. Moreover, Grizenko et al. (2010) reported that ADHD-C children showed a higher frequency of L/L genotype for the 5-HTTLPR compared to ADHD-I children in a group of 371 children with ADHD. A meta-analysis of two functional polymorphisms within the DRD4 gene (120-bp duplication in the promoter and 48-bp VNTR in exon 3) in a clinical sample of 1,608 adult patients with ADHD and 2,352 controls of Caucasian origin showed an association of the L-4R haplotype (dup120bp-48bpVNTR) with adulthood ADHD, especially with ADHD-C (Sánchez-Mora et al., 2011).
To overcome the above-mentioned limitations, we compared a comprehensive set of perinatal and developmental risk factors among children with ADHD-I and ADHD-C and healthy controls. We also compared clinical and neuropsychological characteristics and genotype frequencies of the DAT1 and 5-HTTLPR polymorphisms according to subtype of ADHD to reconfirm previous findings in our sample.
Section snippets
Participants and procedures
We recruited children with ADHD from the child psychiatric clinic of the Seoul National University Hospital in South Korea. The recruited children were aged between 6 and 15 years and had been given a diagnosis of ADHD according to the DSM-IV criteria by a child psychiatrist. The exclusion criteria included the following: 1) a history of pervasive developmental disorder including autism, mental retardation, bipolar disorder, psychotic disorder, obsessive compulsive disorder, or Tourette’s
Results
Among the 174 ADHD patients initially enrolled, 19 patients with ADHD, not otherwise specified, and 8 patients with ADHD, predominantly hyperactive-impulsive type, were excluded from this study. Among the remaining 147 ADHD patients included, 82 (52.9%) had the combined type, and 65 (41.9%) had the inattentive type.
ADHD-C group children were more likely than those in the ADHD-I group to have comorbid disorders. Patients with ADHD-C had higher scores on the ADHD-RS and DBDS, more aggressive
Discussion
The results obtained are consistent with previous findings comparing ADHD-I and ADHD-C in terms of mean age, male/female ratio, clinical symptomatology, and neuropsychological deficits. The ADHD-I group had a higher mean age than did the ADHD-group (Lahey et al., 1994, Grizenko et al., 2010). This finding can be explained by the fact that hyperactive children tend to be more disruptive at home and at school and are thus referred at an earlier age for treatment. The ADHD-I group also included
Acknowledgements
This study was supported by a grant of the Korean Health Technology R&D Project, Ministry of Health & Welfare, Republic of Korea (A120013 to B-NK). This study was also supported by the National Research Foundation of Korea (NRF) Grant funded by the Korean Govrnment (MSIP) (2013R1A1A3008158 to SP and 2010-0002283 to J-WK).
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