Web-Based Cognitive Behavior Therapy for Depression in People With Diabetes Mellitus: A Randomized Controlled Trial.

Background: Depression is twice as common in diabetes mellitus (DM) as the general population and is associated with adverse health outcomes, but access to evidence-based therapies such as cognitive behavioral therapy (CBT) is limited in routine diabetes care. Past research has shown that generic Internet-based cognitive behavioral therapy (iCBT) is an effective treatment for depression in the general population, but it has never been evaluated in people with comorbid depression and DM.

Objective: The aim of our study was to examine the efficacy of a generic 6-lesson iCBT delivered over 10 weeks in people with major depressive disorder (MDD) and DM.

Prevalence, comorbidities, and correlates of challenging behavior among community-dwelling adults with severe traumatic brain injury: a multicenter study.

Objective: Investigate the prevalence, comorbidities, and correlates of challenging behaviors among clients of the New South Wales Brain Injury Rehabilitation Program.

Setting: All community-based rehabilitation services of the statewide program.

Participants: Five hundred seven active clients with severe traumatic brain injury.

Association between serotonin transporter promoter polymorphisms and psychological distress in a diabetic population.

Investigations into serotonin transporter and anxiety and depression have shown an association between stress, depression onset and genotype. We investigated the relationship between 5-HTTLPR genotype and depression and anxiety in a population with diabetes mellitus, a condition associated with high rates of stress and depression. Participants were classified according to 'S' and 'L' alleles as well as the modification of the single nucleotide polymorphism (SNP) rs25531.

The ins and outs of an online bipolar education program: a study of program attrition.

Background: The science of eHealth interventions is rapidly evolving. However, despite positive outcomes, evaluations of eHealth applications have thus far failed to explain the high attrition rates that are associated with some eHealth programs. Patient adherence remains an issue, and the science of attrition is still in its infancy.