Amanda L. Gamble

A randomized controlled trial of online versus clinic-based CBT for adolescent anxiety

OBJECTIVE The study examined the relative efficacy of online (NET) versus clinic (CLIN) delivery of cognitive behavior therapy (CBT) in the treatment of anxiety disorders in adolescents. METHOD Participants included 115 clinically anxious adolescents aged 12 to 18 years and their parent(s). Adolescents were randomly assigned to NET, CLIN, or wait list control (WLC) conditions. The treatment groups received equivalent CBT content. Clinical diagnostic interviews and questionnaire assessments were completed 12 weeks after baseline and at 6- and 12-month follow-ups. RESULTS Assessment at 12 weeks post-baseline showed significantly greater reductions in anxiety diagnoses and anxiety symptoms for both NET and CLIN conditions compared with the WLC. These improvements were maintained or further enhanced for both conditions, with minimal differences between them, at 6- and 12-month follow-ups. Seventy-eight percent of adolescents in the NET group (completer sample) no longer met criteria for the principal anxiety diagnosis at 12-month follow-up compared with 80.6% in the CLIN group. Ratings of treatment credibility from both parents and adolescents were high for NET and equivalent to CLIN. Satisfaction ratings by adolescents were equivalent for NET and CLIN conditions, whereas parents indicated slightly higher satisfaction ratings for the CLIN format. CONCLUSIONS Online delivery of CBT, with minimal therapist support, is equally efficacious as clinic-based, face-to-face therapy in the treatment of anxiety disorders among adolescents. This approach offers a credible alternative to clinic-based therapy, with benefits of reduced therapist time and greater accessibility for families who have difficulty accessing clinic-based CBT.

Online CBT in the treatment of child and adolescent anxiety disorders: Issues in the development of BRAVE-ONLINE and two case illustrations.

This paper describes the rationale for and development of an online cognitive-behavioural treatment for child and adolescent anxiety (BRAVE–ONLINE). It highlights the challenges involved in adapting a clinic-based intervention for delivery using the internet, with separate sessions for parents and their children (or adolescents). We outline strategies to ensure that young people remain engaged in online therapy, and describe techniques designed to optimize the alliance between clients and the online therapist. Two case studies are presented that illustrate the practical and technical aspects of implementing the intervention, and demonstrate the feasibility of achieving successful outcomes using online delivery of CBT for child and adolescent anxiety. However, firm conclusions regarding the efficacy of this approach cannot be drawn until the results of randomized controlled trials are available. The paper identifies directions for future research.

The time-course of attention to emotional faces in social phobia

This study investigated the time-course of attentional bias in socially phobic (SP) and non-phobic (NP) adults. Participants viewed angry and happy faces paired with neutral faces (i.e., face-face pairs) and angry, happy and neutral faces paired with household objects (i.e., face-object pairs) for 5000ms. Eye movement (EM) was measured throughout to assess biases in early and sustained attention. Attentional bias occurred only for face-face pairs. SP adults were vigilant for angry faces relative to neutral faces in the first 500ms of the 5000ms exposure, relative to NP adults. SP adults were also vigilant for happy faces over 500ms, although there were no group-based differences in attention to happy-neutral face pairs. There were no group differences in attention to faces throughout the remainder of the exposure. Results suggest that social phobia is characterised by early vigilance for social cues with no bias in subsequent processing.

The sleep patterns and problems of clinically anxious children

Childhood sleep problems have been associated with a range of adverse cognitive and academic outcomes, as well as increased impulsivity and emotional disorders such as anxiety and depression. The aim of the study was to examine subjective reports of sleep-related problems in children with anxiety disorders during school and weekend nights. Thirty-seven children with clinically-diagnosed anxiety disorders and 26 non-clinical children aged 7-12 years completed an on-line sleep diary to track sleep patterns across school nights and weekend nights. Anxious children reported going to bed significantly later (p=0.03) and had significantly less sleep (p=0.006) on school nights compared to non-anxious children. No significant differences in sleep onset latency, number of awakenings or time awake during the night, daytime sleepiness, or fatigue were found between the two groups. On the weekends, anxious children fell asleep quicker and were less awake during the night than on weeknights. School-aged anxiety disordered children showed a sleep pattern that differs from their non-anxious peers. Although the mean 30 min less sleep experienced by anxious children may initially seem small, the potential consequences on daytime performance from an accumulation of such a sleep deficit may be significant, and further investigation is warranted.

Adolescent Sleep Patterns and Night-Time Technology Use: Results of the Australian Broadcasting Corporation's Big Sleep Survey

Introduction Electronic devices in the bedroom are broadly linked with poor sleep in adolescents. This study investigated whether there is a dose-response relationship between use of electronic devices (computers, cellphones, televisions and radios) in bed prior to sleep and adolescent sleep patterns. Methods Adolescents aged 11–17 yrs (n = 1,184; 67.6% female) completed an Australia-wide internet survey that examined sleep patterns, sleepiness, sleep disorders, the presence of electronic devices in the bedroom and frequency of use in bed at night. Results Over 70% of adolescents reported 2 or more electronic devices in their bedroom at night. Use of devices in bed a few nights per week or more was 46.8% cellphone, 38.5% computer, 23.2% TV, and 15.8% radio. Device use had dose-dependent associations with later sleep onset on weekdays (highest-dose computer adjOR  = 3.75: 99% CI  = 2.17–6.46; cellphone 2.29: 1.22–4.30) and weekends (computer 3.68: 2.14–6.32; cellphone 3.24: 1.70–6.19; TV 2.32: 1.30–4.14), and later waking on weekdays (computer 2.08: 1.25–3.44; TV 2.31: 1.33–4.02) and weekends (computer 1.99: 1.21–3.26; cellphone 2.33: 1.33–4.08; TV 2.04: 1.18–3.55). Only ‘almost every night’ computer use (: 2.43: 1.45–4.08) was associated with short weekday sleep duration, and only ‘almost every night’ cellphone use (2.23: 1.26–3.94) was associated with wake lag (waking later on weekends). Conclusions Use of computers, cell-phones and televisions at higher doses was associated with delayed sleep/wake schedules and wake lag, potentially impairing health and educational outcomes.

The time-course of attentional bias in anxious children and adolescents

This study examined the time-course of attentional bias in anxious and non-anxious children and adolescents aged 7-17 years using eye movement as an index of selective attention. Participants completed two eye-tracking tasks in which they viewed happy-neutral and negative-neutral face pairs for 3000 and 500 ms, respectively. When face pairs were presented for 3000 ms eye movement data showed no evidence of an attentional bias at any stage of attentional processing. When face pairs were presented for 500 ms a bias in initial orienting occurred; anxious adolescents directed their first fixation away from negative faces and anxious children directed their first fixation away from happy faces. Results suggest that childhood anxiety is characterized by a bias in initial orienting, with no bias in sustained attention, although only for briefly presented faces.