The development and preliminary evaluation of Cognitive Behavioural Therapy (CBT) for Chronic Loneliness in Young People.

BACKGROUND: Approximately 10% of young people 'often' feel lonely, with loneliness being predictive of multiple physical and mental health problems. Research has found CBT to be effective for reducing loneliness in adults, but interventions for young people who report loneliness as their primary difficulty are lacking. METHOD: CBT for Chronic Loneliness in Young People was developed as a modular intervention. This was evaluated in a single-case experimental design (SCED) with seven participants aged 11-18 years. The primary outcome was self-reported loneliness on the Three-Item Loneliness Scale. Secondary outcomes were self-reported loneliness on the UCLA-LS-3, and self- and parent-reported RCADS and SDQ impact scores. Feasibility and participant satisfaction were also assessed. RESULTS: At post-intervention, there was a 66.41% reduction in loneliness, with all seven participants reporting a significant reduction on the primary outcome measure (p < .001). There was also a reduction on the UCLA-LS-3 of a large effect (d = 1.53). Reductions of a large effect size were also found for parent-reported total RCADS (d = 2.19) and SDQ impact scores (d = 2.15) and self-reported total RCADS scores (d = 1.81), with a small reduction in self-reported SDQ impact scores (d = 0.41). Participants reported high levels of satisfaction, with the protocol being feasible and acceptable. CONCLUSIONS: We conclude that CBT for Chronic Loneliness in Young People may be an effective intervention for reducing loneliness and co-occurring mental health difficulties in young people. The intervention should now be evaluated further through a randomised controlled trial (RCT).

Impact of post-COVID conditions on mental health: a cross-sectional study in Japan and Sweden.

BACKGROUND: Due to the coronavirus disease 2019 (COVID-19) pandemic, people have undermined their mental health. It has been reported that post-COVID conditions at a certain rate. However, information on the mental health of people with post-COVID conditions is limited. Thus, this study investigated the relationship between post-COVID conditions and mental health. METHODS: Design of the present study was an International and collaborative cross-sectional study in Japan and Sweden from March 18 to June 15, 2021. The analyzed data included 763 adults who participated in online surveys in Japan and Sweden and submitted complete data. In addition to demographic data including terms related to COVID-19, psychiatric symptoms such as depression, anxiety, and post-traumatic stress were measured by using the fear of COVID-19 scale (FCV-19S), Patient Health Questionnaire-9 (PHQ-9), General Anxiety Disorder-7 item (GAD-7), and Impact of Event Scale-Revised (IES-R). RESULTS: Of the 135 COVID-19 survivors among the 763 total participants, 37.0% (n = 50/135) had COVID-19-related sequelae. First, the results of the Bonferroni-corrected Mann Whitney U test showed that the group infected SARS-CoV-2 with post-COVID conditions scored significantly higher than those without one and the non-infected group on all clinical symptom scales (P ≤ .05). Next, there was a significant difference that incidence rates of clinical-significant psychiatric symptoms among each group from the results of the Chi-squared test (P ≤ .001). Finally, the results of the multivariate logistic model revealed that the risk of having more severe clinical symptoms were 2.44-3.48 times higher among participants with post-COVID conditions. CONCLUSION: The results showed that approximately half had some physical symptoms after COVID-19 and that post-COVID conditions may lead to the onset of mental disorders. TRIAL REGISTRATION: The ethics committee of Chiba University approved this cross-sectional study (approval number: 4129). However, as no medical intervention was conducted, a clinical trial registration was not necessary.

Therapist-Guided Internet-Based Treatments for Loneliness: A Randomized Controlled Three-Arm Trial Comparing Cognitive Behavioral Therapy and Interpersonal Psychotherapy.

INTRODUCTION: Chronic loneliness has been linked to many adverse outcomes, including mental health problems. Psychological treatment of loneliness can be effective, but the evidence base is limited. OBJECTIVE: To investigate the efficacy of 2 internet-based interventions based on cognitive behavioral therapy (ICBT) and interpersonal psychotherapy (IIPT) relative to a wait-list control group and each other. METHODS: A total of 170 participants were recruited and randomized to either 9 weeks of ICBT (n = 68), IIPT (n = 68), or a wait-list condition (n = 34). The primary outcome was loneliness, measured using the UCLA Loneliness Scale before, during, and after treatment. Secondary measures of psychiatric disorders and quality of life were administered before and after treatment. Follow-up was conducted 4 months after the treatment had ended. Primary outcome data were analyzed using growth curve modeling. Secondary outcomes were analyzed using robust regression models. The trial was preregistered (ClinicalTrials.gov ID: NCT03807154). RESULTS: The ICBT condition had a significantly greater impact on loneliness compared to the wait-list and IIPT conditions. Effect sizes were moderate to large (Cohen d = 0.71) compared to the wait-list and moderate (d = 0.53) compared to IIPT. The IIPT condition did not differ significantly from the wait-list. Both active treatments led to significant increases in quality of life. Only the ICBT group had significantly lower symptoms of depression and generalized anxiety compared to the wait-list group. Treatment gains were maintained but not improved at follow-up. CONCLUSIONS: ICBT can be an efficacious option for alleviating loneliness. The IIPT intervention was not as effective.

Predictors and moderators of outcome of ICBT for loneliness with guidance or automated messages - A secondary analysis of a randomized controlled trial.

Internet-based cognitive behavioral therapy (ICBT) is promising in alleviating loneliness in adults. Identifying individuals who benefit from ICBT for loneliness is pivotal to offering this intervention in a more targeted way and improving the intervention for those who do not benefit. This secondary analysis of a randomized controlled trial (RCT) aimed to identify predictors and moderators of outcome of an ICBT with guidance or automated messages for loneliness. In the RCT, 243 participants suffering from loneliness were randomly assigned to an ICBT with guidance (n = 98), automated messages (n = 97), or a waitlist-control condition (n = 48). In total, 180 participants completed the post-assessment (i.e., 10 weeks post-randomization). Outcomes were treatment outcome assessed with the UCLA-9 Loneliness Scale at post-assessment and treatment response, i.e., reliable improvement on the UCLA-9 from pre- to post. The relationship between a wide range of patient characteristics (grouped into socio-demographic, clinical, loneliness-specific, and treatment-related variables) and outcome was analyzed using multiple linear and logistic regressions. Feeling less burdened by loneliness resulted in higher odds of reliable improvement in guided ICBT compared to the waitlist-control condition. No treatment outcome or response moderators were identified for ICBT with automated messages compared to the waitlist-control group. Across active intervention groups, loneliness at baseline, age and fit between the tasks and goals of the intervention and participants' need predicted treatment outcome. Predictors of treatment response for ICBT with guidance and automated messages were not identified, and no variables differentially predicted the effects of ICBT with guidance or automated messages on the outcomes. In conclusion, individuals less burdened by their feelings of loneliness benefited more from guided ICBT. Lower baseline loneliness scores, younger age, and a better match between tasks and goals of the intervention and participants' needs also predicted a more favorable treatment outcome for both ICBT with guidance and automated messages.

Efficacy of an Internet-based self-help intervention with human guidance or automated messages to alleviate loneliness: a three-armed randomized controlled trial.

Loneliness is a prevalent and stigmatized phenomenon associated with adverse (mental) health outcomes. However, evidence-based interventions to alleviate loneliness are scarce. This randomized controlled trial (ClinicalTrials.gov-ID: NCT04655196) evaluated the efficacy of an internet-based cognitive behavioral self-help intervention (ICBT) to reduce loneliness by comparing two intervention groups with guidance or automated messages against a waitlist control group. Adults (N = 243) suffering from loneliness were recruited from the general public and then randomly assigned (2:2:1) to a 10-week ICBT with human guidance (GU) or automated messages (AM) or to a waitlist control group (WL). Loneliness, assessed with the UCLA-9, was the primary outcome. Outcomes were assessed at baseline and 10 weeks (post) and analyzed using mixed-effects models. The pooled intervention conditions resulted in lower loneliness scores at post-assessment than the WL (Cohen's d = 0.57, 95% CI [0.25; 0.89]) and reduced depressive symptoms, social anxiety, social avoidance behavior, and rejection sensitivity (d = 0.32-0.52). The GU group had lower loneliness scores at post-assessment than the AM group (d = 0.42, 95% CI [0.13; 0.70]). ICBT effectively alleviated loneliness, and guidance increased the reduction in loneliness compared to automated messages. Alleviating loneliness with ICBT further seems to reduce the overall burden of psychopathological symptoms.

Knowledge acquisition following internet-based cognitive behavioural therapy for loneliness - A secondary analysis of a randomised controlled trial.

BACKGROUND AND OBJECTIVES: Knowledge about a condition and how to treat it is part of most cognitive behavioural therapies. This is particularly relevant for self-help treatments such as internet-based CBT, which is commonly delivered in the form of didactic materials. The role of knowledge acquisition in treatment outcomes is an understudied area. The present study sought to investigate knowledge acquisition as part of an ICBT trial targeting loneliness and discern its role in the outcome of treatment. METHODS: We used secondary data from a randomised controlled trial of ICBT targeting loneliness with 73 participants. A knowledge test including certainty ratings was constructed and used to investigate whether knowledge increased for the treatment group in comparison to the control group, whether changes in knowledge predicted changes in loneliness during the treatment phase, and how the acquired knowledge related to outcomes at a two-year follow-up. Multiple linear regression models were used to analyse the data. RESULTS: The treatment group had significantly higher knowledge scores compared to the waitlist group at posttreatment, both in terms of correct answers (Cohen's d = 0.73) and certainty-weighted sum scores (Cohen's d = 1.20). Acquired knowledge did not predict reductions in loneliness in the short-term, and neither loneliness ratings nor use of treatment techniques in the long-term. LIMITATIONS: The sample size was relatively small, which limits the statistical inferences. CONCLUSIONS: Knowledge of treatment relevant principles increase as part of the treatment in ICBT for loneliness. This increase was not related to other short- and long-term outcomes.

Do single-case experimental designs lead to randomised controlled trials of cognitive behavioural therapy interventions for adolescent anxiety and related disorders recommended in the National Institute of Clinical Excellence guidelines? A systematic review.

Background: Although Cognitive Behavioural Therapy (CBT) is effective for 60% of adolescents with anxiety disorders, only 36% are in remission post-intervention. This indicates that more effective treatments are needed which should be reflected in the NICE guidelines. We hypothesised that Single-case experimental designs (SCEDs) may provide a framework for accelerating the development of novel interventions. The primary purpose of this review was to investigate whether SCEDs are currently followed by randomised controlled trials (RCTs) of CBT intervention for adolescent anxiety disorders named in the NICE guidelines. The secondary objective was to investigate whether using SCEDs prior to RCTs could be a helpful approach. Method: For the primary search of SCEDs five databases were used (PsycINFO, PubMed, PsycArticles, Web of Science and ProQuest). Nineteen articles met eligibility criteria including a total of 107 participants. For the secondary search of RCTs named in the NICE guidelines for adolescent anxiety disorders 53 articles met inclusion criteria and were included in the systematic review. Results: The 19 SCED studies included in the review were conducted with participants with a diverse range of anxiety disorders and across a range of CBT formats. Two of the SCEDs were followed by RCTs, but neither of these were named in the NICE guidelines for anxiety disorders. All of the SCEDs identified were rated as low quality with none meeting the criteria for the highest or second highest quality rating. From the secondary searches, none of the RCTs named in the NICE guide were preceded by SCEDs. Conclusions: It was concluded that currently SCEDs were not followed by RCTs of CBT interventions named in the NICE guidelines for adolescent anxiety disorders. However, it was suggested that SCEDs may provide an important framework for the development of more effective interventions for adolescents with anxiety.

Scheduled Support Versus Support on Demand in Internet-Delivered Cognitive Behavioral Therapy for Social Anxiety Disorder: Randomized Controlled Trial.

Objectives: Clinician-supported internet-delivered cognitive behavioral therapy (ICBT) can be an effective treatment option when treating social anxiety disorder (SAD). Unguided ICBT is often found to be less effective. One possible solution to reduce the costs of clinician support is to provide support on demand. In this format of guidance, participants have the option to contact their clinician if needed. In a few studies, this mode of support has been compared favorably to scheduled support. Method: Participants in a previously reported controlled trial on SAD who had been in a waitlist control group were randomly allocated to ICBT with either on-demand guidance or scheduled weekly therapist guidance. A total of 99 participants were included. Data were collected weekly on the primary outcome measure, the Liebowitz Social Anxiety Scale self-report (LSAS-SR), and at pre- and post-treatment for secondary measures. Data were analyzed in accordance with the intention-to-treat principle using mixed-effects models. Results: Both groups improved significantly during the treatment according to the LSAS-SR ratings. The groups did not differ in their estimated change during the treatment period, with a between-group effect of d = 0.02, 95% CI [-0.37, 0.43]. Both groups experienced similar improvement also on the secondary outcome measures, with small between-group effect sizes on all outcomes. Conclusions: The findings indicate that support on demand can be an effective way of providing guidance in ICBT for SAD, although more research on this topic is needed. A limitation of the study is that it was conducted in 2009, and the findings were in the file drawer. Subsequent published studies support our initial findings, but more research is needed.

Loneliness Trajectories, Associated Factors and Subsequent Health in Children and Young People During the COVID-19 Pandemic: A National Matched Cohort Study.

Purpose: Loneliness is common amongst children and young people (CYP) and is an independent risk factor for poor health. This study aimed to i) determine whether subgroups of CYP with different loneliness trajectories (during the second year of the pandemic) exist; ii) examine associations with socio-demographic characteristics and subsequent health; and iii) understand whether associations between loneliness and subsequent health were modified by SARS-CoV-2 infection. Methods: A total of 5851 CYP (N=3260 SARS-CoV-2 positive and 2591 SARS-CoV-2 negative) provided data on loneliness (via the validated 3-item version of the UCLA Loneliness Scale for Children) at least twice in a 12-month period post PCR index-testing (conducted October 2020-March 2021). Latent class growth analyses were used to identify distinct classes of loneliness trajectories. Multinomial logistic regression was used to identify socio-demographic characteristics associated with class membership. Logistic regression models assessed the odds of reporting impairing symptoms 12-months post index-test. Results: Four distinct loneliness trajectories were identified: three mostly stable (low, medium, high) and one low-increasing trajectory. Being older, female, living in more deprived areas and testing negative were associated with greater odds of being in the highest vs lowest loneliness trajectory; eg OR for female vs male: 5.6 (95% CI:4.1,7.8); OR for 15-17 vs 11-14 years: 4.5 (95% CI:3.4,6.0). Following higher loneliness trajectories was associated with higher odds of experiencing impairing symptoms 12-months post index-test: ORadjusted (compared to lowest loneliness trajectory) were 15.9 (95% CI:11.9,21.3) (high loneliness), 6.5 (5.3,7.9) (medium loneliness) and 2.3 (1.9,2.8) (low-increasing loneliness). There was no evidence that this association was modified by PCR index-test result. Conclusion: About 5.3% of CYP were classified into a group experiencing (chronically) high loneliness. Being female, older and from more deprived areas were risk factors of belonging to this group. Results suggest that even small increases from low loneliness levels may be associated with worse health outcomes.

Free choice of treatment content, support on demand and supervision in internet-delivered CBT for adults with depression: A randomized factorial design trial.

Even if much is known regarding the effects of internet-delivered cognitive behaviour therapy (ICBT) for depression there are several topics that have not been studied. In this factorial design trial with 197 participants we investigated if clients in ICBT could select treatment modules themselves based on a selection of 15 tailored treatment modules developed for use in ICBT for depression. We contrasted this against clinician-tailored module selection. We also investigated if support on demand (initiated by the client) could work as well as scheduled support. Finally, we tested if clients that were mentioned in supervision would improve more than clients not mentioned (with the exception of acute cases). The treatment period lasted for 10 weeks, and we measured effects at post-treatment and two-year follow-up. Measures of depression and secondary outcomes were collected at pre-treatment, post-treatment and two-year follow-up. Overall, within-group effects were large across conditions (e.g., d = 1.73 on the BDI-II). We also found a small but significant difference in favour of self-tailored treatment over clinician-tailored (d = 0.26). Within-group effects for the secondary measures were all moderate to large including a test of knowledge about CBT. The other two contrasts "support on demand" and "supervision" yielded mostly non-significant differences, with the exception of a larger dropout rate in the support on demand condition. There were few negative effects (2.2%). Effects were largely maintained at a two-year follow-up. We conclude that clients can choose treatment modules and that support on demand may work. The role of supervision is not yet clear as advice can be transferred across clients.

The development of Cognitive Behavioural Therapy (CBT) for chronic loneliness in children and young people: Protocol for a single-case experimental design.

Loneliness is a significant problem for young people and is associated with a range of physical and mental health difficulties. Meta-analyses have identified that interventions aimed at young people who report loneliness as their primary problem are lacking within the literature. In adults, the most effective interventions for loneliness are those which target the underlying maladaptive social cognitions. Therefore, we have developed a modular Cognitive Behavioural Therapy (CBT) intervention for children and young people. The aim of this study is to conduct a multiple baseline single-case experimental design (SCED) to assess the efficacy, feasibility and acceptability of this intervention. In total 6-8 11-18-year-olds and their families will be recruited. The design consists of AB+ post-intervention, where A is the baseline phase, B is the intervention phase and then a post-intervention phase. Participants will complete a baseline assessment, before being randomised to one of four different baseline lengths (12 days, 19 days, 26 days or 33 days). Participants will then complete an average of 12 sessions of CBT, with the aim being to reduce their feelings of loneliness. Participants will then complete a 12-day post-intervention phase. Participant loneliness will be repeatedly assessed throughout the three phases of the intervention using the Three-item Loneliness Scale, which will be the primary outcome. Secondary outcomes will be reliable and clinically meaningful change on the UCLA Loneliness Scale, Revised Child Anxiety and Depression Scale (RCADS) and Strengths and Difficulties Questionnaire (SDQ). Feasibility and participant satisfaction will also be assessed and reported. Trial registration: ClinicalTrails.gov trial registration number: NCT05149963 (Date registered: 07.12.2021). https://www.clinicaltrials.gov/ct2/show/NCT05149963?term=cbt&cond=loneliness&draw=2&rank=1.

Evaluating the Efficacy of a Guided and Unguided Internet-Based Self-help Intervention for Chronic Loneliness: Protocol for a 3-Arm Randomized Controlled Trial.

BACKGROUND: Loneliness, or perceived social isolation, is prevalent in both the general population and clinical practice. Although loneliness has repeatedly been associated with mental and physical health, research on interventions that reduce loneliness effectively is still rather scarce. OBJECTIVE: This study aims to evaluate the efficacy of a guided and an unguided version of the same internet-based cognitive behavioral self-help program for loneliness (SOLUS-D) for adults. METHODS: A total of 250 participants will be randomly assigned to 1 of 2 intervention groups (SOLUS-D with guidance or SOLUS-D without guidance) or a wait-list control group (2:2:1 allocation ratio). Adult participants experiencing high levels of loneliness will be recruited from the general population. Individuals currently experiencing at least moderately severe depressive symptoms, an ongoing severe substance use disorder, previous or current bipolar or psychotic disorder, or acute suicidality will be excluded from the trial. Assessments will take place at baseline, 5 weeks (midassessment), and 10 weeks (postassessment). The primary outcome is loneliness assessed using the 9-item University of California, Los Angeles Loneliness Scale at the posttreatment time point. Secondary outcomes include depressive symptoms, symptoms of social anxiety, satisfaction with life, social network size, and variables assessing cognitive bias and social behavior. The maintenance of potentially achieved gains will be assessed and compared at 6 and 12 months after randomization in the 2 active conditions. Potential moderators and mediators will be tested exploratorily. Data will be analyzed on an intention-to-treat basis. RESULTS: Recruitment and data collection started in May 2021 and are expected to be completed by 2022, with the 12-month follow-up to be completed by 2023. As of the time of submission of the manuscript, 134 participants were randomized. CONCLUSIONS: This 3-arm randomized controlled trial will add to the existing research on the efficacy of loneliness interventions. Furthermore, it will shed light on the role of human guidance in internet-based treatments for individuals with increased levels of loneliness and the possible mechanisms of change. If SOLUS-D proves effective, it could provide a low-threshold, cost-efficient method of helping and supporting individuals with increased levels of loneliness. TRIAL REGISTRATION: ClinicalTrials.gov NCT04655196; https://clinicaltrials.gov/ct2/show/NCT04655196. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/36358.

The effectiveness of psychological interventions for loneliness: A systematic review and meta-analysis.

Chronic loneliness is associated with a range of mental health difficulties. Previous theory and research indicate that psychological interventions show promise for reducing loneliness, however, there have been no systematic reviews or meta-analyses to ascertain the efficacy of these interventions across the lifespan. The aim of this study was to synthesise, meta-analyse and explore the heterogeneity in RCTs of psychological interventions for loneliness in order to establish their efficacy. Five databases (Ovid Embase, Ovid Medline, PsycINFO, Web of Science and CINAHL) were systematically searched in order to identify relevant studies. Included studies were required to be peer-reviewed RCTs examining psychological interventions for loneliness. Two independent coders examined the abstracts of the 3973 studies and 103 full texts, finding 31 studies that met inclusion criteria, 28 of which contained sufficient statistical information to be included in the meta-analysis. The quality of included studies was assessed using the Cochrane Risk of Bias Tool. The 31 studies (N = 3959) that were included in the systematic review were conducted with participants from a diverse range of cultures, age groups and populations. The interventions were of mixed quality and were mostly face to face, group-based and delivered weekly. The most common type of intervention was Cognitive Behavioural Therapy (CBT). 28 studies (N = 3039) were included in a meta-analysis which found that psychological interventions significantly reduced loneliness compared to control groups, yielding a small to medium effect size (g = 0.43). Subgroup analysis and meta-regressions were conducted in order to explore heterogeneity and found that type of psychological intervention was approaching significance as a moderator of the effectiveness of psychological interventions for loneliness. In conclusion, psychological interventions for loneliness across the lifespan are effective. This finding should inform policy makers, researchers and clinicians going forward, especially in the context of increased loneliness due to the COVID-19 pandemic. There was considerable heterogeneity in the effectiveness of the interventions, suggesting that future research should also explore what works for whom and consider personalising psychological treatment.

Lonesome no more? A two-year follow-up of internet-administered cognitive behavioral therapy for loneliness.

The current study sought to investigate the long-term effects of an internet-administered programme based on CBT principles for which the initial efficacy has been reported in Käll, Jägholm, et al. (In press). Seventy-three participants who were recruited on the basis of experiencing frequent and prolonged loneliness were contacted to complete questionnaires measuring loneliness, quality of life, and symptoms of psychopathology two years after the conclusion of the initial treatment period. Additional items regarding use of the treatment techniques and strategies contained in the programme during the follow-up period was included. In total, 44 participants provided data for the loneliness measure at follow-up. The outcome data were analyzed with a piecewise mixed effects model to provide estimates of change for the continuous measures. Linear multiple regression analysis was used to investigate the relationship between use of treatment techniques and reliable change on the primary outcome measure. The results showed decreases in loneliness during the follow-up period for the sample as a whole. Additionally, an increase in quality of life and a decrease in social anxiety were noted, but no significant changes of depressive symptoms or generalized anxiety. Effect sizes for the observed changes from baseline to follow-up were in the moderate to large range for all measures. Reported use of the treatment techniques was not significantly related to reliable change in loneliness after the two-year period. In conclusion, the results of the study support the utility of internet-based CBT targeting loneliness and indicate that the benefits from the intervention can be enduring.

A common elements approach to the development of a modular cognitive behavioral theory for chronic loneliness.

BACKGROUND: Loneliness is a transdiagnostic clinical phenomenon that can significantly impact mental health and well-being across the lifespan. OBJECTIVE: The aim was to combine existing theory and evidence-based treatment approaches to propose a comprehensive transdiagnostic cognitive-behavioral analysis of the maintenance of chronic loneliness relevant across disorders, age groups, and populations. METHOD: A distillation and matching model-framework approach was taken to identify interventions designed to reduce loneliness. Eligible studies were coded for the presence of practice elements. The findings were combined with an analysis of the broader literature on loneliness and psychopathology to derive a comprehensive cognitive-behavioral analysis of the maintenance of loneliness over time across populations. RESULTS: The search yielded 11 studies containing 14 practice elements with relative frequencies ranging from 7% to 64%. The identified practice elements target putative mechanisms such as negative interpersonal appraisals, anxiety, and social skills deficits. Counterproductive behavior and cognitive processes such as self-focused attention were identified as maintenance factors based on the broader literature. A modular transdiagnostic model with multiple pathways is proposed to be consistent with the existing theoretical and treatment literature. CONCLUSIONS: Combining the distillation and matching model framework with existing theory from the literature is a novel approach for developing a model of factors that maintain loneliness over time. The model has varying treatment implications for different populations including children with autism spectrum disorders and bereaved older adults. Targeting transdiagnostic processes has the potential to transform interventions for loneliness across a range of formats and settings. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Internet-Based Cognitive Behavior Therapy for Loneliness: A Pilot Randomized Controlled Trial.

Loneliness has been described as a common source of discomfort based on a subjective discrepancy between the actual and desired social situation. For some people this feeling may become a sustained state that is associated with a wide range of psychiatric and psychosocial problems. While there are few existing treatment protocols, interventions based on cognitive behavioral therapy (CBT) have shown positive effects. The current study investigated the efficacy of an 8-week internet-based treatment containing CBT components aimed at reducing feelings of loneliness. Seventy-three participants were recruited from the general public and randomly allocated to treatment or a wait-list control condition. Participants were assessed with standardized self-report measures of loneliness, depression, social anxiety, worry, and quality of life at pretreatment and posttreatment. Robust linear regression analysis of all randomized participants showed significant treatment effects on the primary outcome measure of loneliness (between group Cohen's d = 0.77), and on secondary outcomes measuring quality of life and social anxiety relative to control at postassessment. The results suggest the potential utility of internet-based CBT in alleviating loneliness but more research on the long-term effects and the mechanisms underlying the effects is needed.