Birth weight as an independent predictor of ADHD symptoms : a within-twin pair analysis

BACKGROUND: Studies have found an association between low birth weight and ADHD, but the nature of this relation is unclear. First, it is uncertain whether birth weight is associated with both of the ADHD dimensions, inattentiveness and hyperactivity-impulsivity. Second, it remains uncertain whether the association between birth weight and ADHD symptom severity is confounded by familial factors. METHOD: Parents of all Swedish 9- and 12-year-old twins born between 1992 and 2000 were interviewed for DSM-IV inattentive and hyperactive-impulsive ADHD symptoms by the Autism - Tics, AD/HD and other Comorbidities (A-TAC) inventory (N= 21,775 twins). Birth weight was collected prospectively through the Medical Birth Registry. We used a within-twin pair design to control for genetic and shared environmental factors. RESULTS: Reduced birth weight was significantly associated with a mean increase in total ADHD (beta = -.42; 95% CI: -.53, -.30), inattentive (beta = -.26; 95% CI: -.33, -.19), and hyperactive-impulsive (beta = -.16; 95% CI: -.22, -.10) symptom severity. These results imply that a change of one kilogram of birth weight corresponded to parents rating their child nearly one unit higher (going from "no" to "yes, to some extent" on a given symptom) on the total ADHD scale. These associations remained within pairs of MZ and DZ twins, and were also present when restricting the analyses to full term births. CONCLUSIONS: There is an independent association between low birth weight and all forms of ADHD symptoms, even after controlling for all environmental and genetic confounds shared within twin pairs. These results indicate that fetal growth restriction (as reflected in birth weight differences within twin pairs) and/or the environmental factors which influence it is in the casual pathway leading to ADHD.Swedish Research Council for Working Life and SocialSwedish Research Council, 2010-3184NIH Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD), HD061817NIH National Institute of Mental Health (NIMH), 2 R01 HD056354-04A1Swedish Research Council through the Swedish Initiative for Research on Microdata in the Social And Medical Sciences (SIMSAM), 340-2013-5867Manuscrip