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Objective This study identifies trajectories of parent depressive symptoms after having a child born with genital atypia due to a disorder/difference of sex development (DSD) or congenital adrenal hyperplasia (CAH) and across the first year postgenitoplasty (for parents who opted for surgery) or postbaseline (for parents who elected against surgery for their child). Hypotheses for four trajectory classes were guided by parent distress patterns previously identified among other medical conditions. Methods Participants included 70 mothers and 50 fathers of 71 children diagnosed with a DSD or CAH with reported moderate to high genital atypia. Parents were recruited from 11 US DSD specialty clinics within 2 years of the child’s birth and prior to genitoplasty. A growth mixture model (GMM) was conducted to identify classes of parent depressive symptoms over time. Results The best fitting model was a five-class linear GMM with freely estimated intercept variance. The classes identified were termed “Resilient,” “Recovery,” “Chronic,” “Escalating,” and “Elevated Partial Recovery.” Four classes have previously been identified for other pediatric illnesses; however, a fifth class was also identified. The majority of parents were classified in the “Resilient” class (67.6%). Conclusions This study provides new knowledge about the trajectories of depressive symptoms for parents of children with DSD. Future studies are needed to identify developmental, medical, or familial predictors of these trajectories.

Washington University School of Medicine, St. Louis, Missouri, USA ABSTRACT Objective. There has been a sharp increase in the abuse of prescription opioid analgesics in the United States in the past decade. It has been asserted, particularly by several governmental and regulatory agencies, that the Internet has become a significant source of these drugs which may account to a great extent for the surge in abuse. We have studied whether this is correct. Design. We asked 1,116 prescription drug abusers admitted for treatment, through standardized questionnaires, where they obtained their drugs. We also attempted to purchase scheduled II and III drugs from a random sample of Internet sites offering such sales. Results. Dealers, friends or relatives, and doctors' prescriptions were listed as a source of drugs with equal frequency ( ≈ 50-65%), with theft and forgery far behind at 20%. The Internet was mentioned by fewer than 6% of the total responders. Because these data suggest either lack of availability or that our sample has not yet realized that the Internet is a potential source, we attempted to purchase scheduled II and III opioids and the unscheduled opioid, tramadol, from a random sample of 10% of the sites listing such sales. We were unsuccessful in purchasing a single scheduled opioid analgesic, but found that tramadol, as an unscheduled drug, was freely available. Conclusions. The assertion that the Internet has become a dangerous new avenue for the diversion of scheduled prescription opioid analgesics appears to be based on no empirical evidence and is largely incorrect.