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We aimed to prospectively assess limb volume change (LVC) and associated symptoms in patients with melanoma undergoing sentinel lymph node biopsy and/or therapeutic lymph node dissection. Limb volume was measured preoperatively and postoperatively at 6 and 12 months using a perometer (1000 mol/l). LVC was calculated and used to define three groups: less than 5%, 5-10%, and greater than 10%. A 19-item lymphedema symptom questionnaire was administered at baseline, 6, and 12 months. One hundred and eighty-two patients were enrolled. Twelve months after axillary surgery, 9% had LVC 5-10% and 13% had LVC greater than 10%. Twelve months after inguinofemoral surgery, 10% had LVC 5-10% and 13% had LVC greater than 10%. There was a significant seven- to nine-fold increase in symptoms for patients with LVC greater than 10% compared with those with LVC less than 5% (P<0.05). On multivariate analysis, therapeutic lymph node dissection versus sentinel lymph node biopsy (odds ratio=3.18; P<0.01) and borderline significance for lower-extremity versus upper-extremity procedures (odds ratio=1.72; P=0.07) were associated with LVC greater than 5%. LVC greater than 5% is common at 12 months following nodal surgery for melanoma and is associated with symptoms. Informed consent for melanoma patients undergoing lymph node surgery should include a discussion of the risks of postoperative lymphedema.

The objective is to examine incidence, prevalence, and persistence of restricted or short sleep among adolescents and associated risk factors. Data are from a sample of 4,175 youths aged 11 to 17 at baseline and 3,134 followed up 1 year later. Restricted sleep was defined as 6 hr or less per night. Prevalence was 20%, 1-year incidence was 17%, and chronicity was 54%. Analyses identified few independent predictors: female, older age, schoolwork, extracurricular activities, and life stress. Odds ratios for incidence of sleep restriction on weeknights were 10 for 8 or more factors and 17 for persistence with 8 or more risk factors. This prospective study documents that incidence of sleep restriction was high. Restricted sleep also was prevalent and chronic and, like many other health problems, has multifactorial origins. Having multiple risk factors substantially increased risk of restricted sleep. Given the importance of sleep in this population, more focus is clearly needed, both clinically and epidemiologically.

We present prevalence data for adolescents in a large metropolitan area in the US and the association of DSM-IV diagnoses to functional impairment and selected demographic correlates. We sampled 4175 youths aged 11-17 years from households enrolled in large health maintenance organizations. Data were collected using questionnaires and the Diagnostic Interview Schedule for Children, Version IV (DISC-IV). Impairment was measured using the Child Global Assessment Scale and diagnostic specific impairment in the DISC-IV. 17.1% of the sample met DSM-IV criteria for one or more disorders in the past year; 11% when only DISC impairment was considered and 5.3% only using the CGAS. The most prevalent disorders were anxiety (6.9%), disruptive (6.5%), and substance use (5.3%) disorders. The most prevalent specific disorders were agoraphobia, conduct and marijuana abuse/dependence, then alcohol use and oppositional defiant disorder. Younger youths and females had lower odds for any disorder, as did youths from two parent homes. There was increased odds associated with lower family income. Females had greater odds of mood and anxiety disorders, males of disruptive and substance use disorders. There were greater odds of mood and disruptive disorders for older youths. Prevalences were highly comparable to recent studies using similar methods in diverse non-metropolitan populations. We found associations with age, gender, and to a lesser extent, socioeconomic status reported in previous studies. The inclusion of both diagnosis-specific impairment and global impairment reduced prevalence rates significantly. Our results suggest commonality of prevalences and associated factors in diverse study settings, including urban and rural areas.

This paper extends our knowledge of comorbidity of substance use disorders (SUDs) and other psychiatric disorders by examining comorbidity of specific types of SUDs and risk of comorbidity separately for abuse and dependence. The research question is whether there is specificity of risk for comorbidity for different SUDs and whether greater comorbidity is associated with dependence. Data are presented from a probability sample of 4175 youths aged 11-17 assessed with the NIMH DISC-IV and self-administered questionnaires. SUDs outcomes are alcohol, marijuana and other substances in past year. Mean number of other comorbid disorders ranged from 1.9 for marijuana abuse to 2.2 for other substance abuse and 1.9 for marijuana dependence to 2.8 for other substance dependence. None of the abuse SUDs does not increase risk of anxiety disorders, but dependence does. Both abuse and dependence increased risk of comorbid mood disorders. Similar results were observed for disruptive disorders. Patterns of comorbidity varied by substance, by abuse versus dependence, and by category of other psychiatric disorders. In general, there was greater association of comorbidity with other disorders for dependence versus abuse. Marijuana is somewhat less associated with other disorders than alcohol or other substances. The strongest association is for comorbid disruptive disorders, regardless of SUDs category. Having SUDs and comorbid other psychiatric disorders was associated with substantial functional impairment. Females with SUDs tended to have higher rates of comorbid disorders, as did older youths. There were no differences observed among ethnic groups. When comorbidity of SUDs with other disorders was examined, controlling for other non-SUDs disorders for each specific disorder examined, the greater odds for dependence versus abuse essentially disappeared for all disorders except disruptive disorders, suggesting larger number of comorbid non-SUDs in part account for the observed effects for dependence.

Hypertutorials optimize five features - presentation, learner control, practice, feedback, and elaborative learning resources. Previous research showed graduate students significantly and overwhelmingly preferred Web-based hypertutorials to conventional "Book-on-the-Web" statistics or research design lessons. The current report shows that the source of hypertutorials' superiority in student evaluations of instruction lies in their hypertutorial features. Randomized comparisons between the two methodologies were conducted in two successive iterations of a graduate level health informatics research design and evaluation course. The two versions contained the same text and graphics, but differed in the presence or absence of hypertutorial features: Elaborative learning resources, practice, feedback, and amount of learner control. Students gave high evaluations to both Web-based methodologies, but consistently rated the hypertutorial lessons as superior. Significant differences localized in the hypertutorial subscale that measured student responses to hypertutorial features.