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Background: Loneliness is a widespread phenomenon associated with a number of negative health outcomes. Older individuals may constitute one important target group with a need for effective interventions. However, despite evidence showing that addressing maladaptive social cognition (e.g., via cognitive behavioral therapy [CBT]) is the most effective intervention strategy for reducing loneliness, most existing programs aimed at older individuals do not use that method. Further, in terms of mental health service use, older individuals have been found to be an extremely undertreated population. When developing interventions, active involvement of end users in the development process is essential to increase later uptake. Objective: The aim of the present study was to develop an internet-based CBT intervention for loneliness in older individuals (i.e., aged ≥65 years) applying a user-centered design. The present report provides an in-depth description of the development process. Methods: Two phases of qualitative data collection were conducted in parallel with intervention development using a sample of N = 12 participants including both potential end users (i.e., older adults) as well as experts (i.e., psychotherapists). Measures included semi-structured interviews and usability testing. Results: In Phase 1 interviews, participants indicated that they were predominantly positive about the idea of an internet-based program for loneliness targeting older individuals. Individualization and interactivity were named as crucial features. In Phase 2, usability testing of a prototype program provided important insights into technical barriers to intervention use. Further, participants reported that they were missing content on philosophy/theology and the role of descendants/relatives. Valuable insights from Phase 1 and Phase 2 were incorporated into the intervention program resulting in a 7-module internet-based self-help CBT intervention. Discussion: Findings of this study highlight the significance of including relevant stakeholders in the development process of an intervention. Additionally, results emphasize the high acceptance of internet-based interventions in this population, but also underline the need for considering age-specific aspects when developing treatments.
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OBJECTIVE: Studies suggest an association between elevated total serum cholesterol, particularly low-density lipoprotein (LDL), and osteoarthritis (OA). The present study was undertaken to evaluate the association between total cholesterol, LDL, and high-density lipoprotein (HDL) and risk of knee OA. METHODS: We studied participants from the Multicenter Osteoarthritis study (MOST) cohort at risk of developing knee OA. From baseline through 7 years, repeated knee radiographs and magnetic resonance images (MRIs) were obtained, and knee symptoms were queried. From baseline fasting blood samples, lipids and lipoproteins were analyzed using standard assays. After excluding participants with baseline OA, we defined 2 sets of patients: those developing radiographic OA, and those developing symptomatic OA (knee pain and radiographic OA). Controls did not develop these outcomes. Additionally, we examined worsening of cartilage loss and synovitis on MRI and of knee pain using the Western Ontario and McMaster Universities Osteoarthritis Index scale. We carried out logistic regression adjusting for age, sex, body mass index, education, baseline pain, and depressive symptoms, testing total cholesterol and lipoproteins as continuous measures, and we performed sensitivity analyses examining whether commonly used thresholds for high cholesterol, LDL, or low HDL increased risk. RESULTS: We studied 337 patients with incident symptomatic OA and 283 patients with incident radiographic OA. The mean age at baseline was 62 years (55% women). Neither total cholesterol, LDL, nor HDL showed a significant association with radiographic or symptomatic OA. Additionally, we found no association of these lipid measures with cartilage loss, worsening synovitis, or worsening knee pain. CONCLUSION: Our data do not support an association between total cholesterol, LDL, or HDL with OA outcomes.