Dataset Information

Self-efficacy in Insomnia Symptom Management after Digital CBT-I Mediates Insomnia Severity during the COVID-19 Pandemic.

ABSTRACT:

Study objectives

Digital cognitive behavioral therapy for insomnia (dCBT-I) can reduce acute insomnia and depressive symptoms and prevent symptom recurrence. The current study evaluated self-efficacy in managing insomnia symptoms as a potential mediator of the relationship between prior dCBT-I and subsequent insomnia and depressive symptoms assessed during the coronavirus 2019 (COVID-19) pandemic.

Method

Participants were 208 adults who completed a randomized controlled trial of dCBT-I versus sleep education in 2016-2017 and also completed self-report assessments of insomnia, depression, and self-efficacy in managing insomnia symptoms. Data were collected in May 2020, five weeks into state-wide COVID-19 stay-at-home orders. Regression and mediation analyses were used to evaluate the extent to which self-efficacy accounted for the relationship between treatment condition and improvement in insomnia and depressive symptoms from pre-treatment to COVID-19 follow-up.

Results

Prior dCBT-I predicted greater self-efficacy in managing insomnia symptoms. Self-efficacy accounted for 49% and 67% of the protective effect of dCBT-I against COVID-era insomnia and depressive symptoms, respectively.

Conclusions

This study affirms the importance of self-efficacy as a key intervention outcome and potential mechanism by which dCBT-I predicts future sleep and mental health. Future studies that evaluate the role of self-efficacy in treatment effectiveness and resilience can provide additional clues about how to optimize dCBT-I for maximum benefit to public health.

SUBMITTER: Cheng P

PROVIDER: S-EPMC8917241 | biostudies-literature | 2022 Sep-Oct

REPOSITORIES: biostudies-literature

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Publications

Self-efficacy in Insomnia Symptom Management after Digital CBT-I Mediates Insomnia Severity during the COVID-19 Pandemic.

Cheng Philip P Casement Melynda D MD Kalmbach David A DA Cuamatzi Castelan Andrea A Drake Christopher L CL

Behavioral sleep medicine 20210912 5

<h4>Study objectives</h4>Digital cognitive behavioral therapy for insomnia (dCBT-I) can reduce acute insomnia and depressive symptoms and prevent symptom recurrence. The current study evaluated self-efficacy in managing insomnia symptoms as a potential mediator of the relationship between prior dCBT-I and subsequent insomnia and depressive symptoms assessed during the coronavirus 2019 (COVID-19) pandemic.<h4>Method</h4>Participants were 208 adults who completed a randomized controlled trial of d ...[more]

PMID: 34511016

Similar Datasets

Project description:ObjectiveThe present study investigated the associations between symptom-related expectations, self-management experiences and expectation framing on somatic symptom severity in university students in two conditions (positive or standard expectation framing). We hypothesised that symptom-related expectations are significantly associated with concurrent and subsequent levels of somatic symptom depending on expectation framing.DesignA smartphone-based micro-longitudinal ecological momentary assessment study with randomisation to one of two expectation framing groups (positive vs negative) was carried out. Multilevel mixed-effects linear regression analyses were conducted for data analysis.SettingData was collected in real-time from university students via smartphones, with three predetermined assessments per day over seven consecutive days.ParticipantsA total of 104 students (63.5% male, 0% diverse) who were 18 years or older, possessing sufficient German language skills and had access to an Android-powered smartphone were included.InterventionsParticipants were randomised to one of two different expectation framing groups, either receiving questionnaires for the expected impairment due to somatic symptoms (negative framing) or for the expected freedom from impairment due to somatic symptoms (positive framing).Primary outcome measuresSomatic symptom severity was assessed using an adapted version of the Patient Health Questionnaire, with 11-point instead of 3-point Likert-scales. Symptom-related expectations were assessed using 11-point Numerical Rating Scales and self-management experiences were assessed using binary variables.ResultsConcurrent analysis revealed a significant association between symptom-related expectations and symptom severity (β=0.934, p<0.001), but no significant associations between self-management experiences and symptom severity. Regarding expectation framing, participants in the negative group reported higher symptom severity levels than those in the positive group (β=-0.071, p<0.001). Results indicated a stronger association between symptom-related expectations and symptom severity in the negative framing group (β=-0.088, p<0.001). Time-lagged analysis showed higher levels of symptom-related expectations predicted higher subsequent symptom severity levels (β=0.502, p<0.001), whereas preceding symptom severity levels or self-management experiences did not predict subsequent symptom severity levels. Negative framing was associated with higher subsequent symptom severity levels (β=-0.158, p<0.001). The effect of symptom-related expectations on subsequent symptom severity levels was independent of expectation framing.ConclusionsOur findings highlight the impact of expectations and expectation framing on somatic symptom severity among university students and expand the knowledge needed for the development of expectation management techniques.Trial registration numberISRCTN36251388.

Dataset Information

Self-efficacy in Insomnia Symptom Management after Digital CBT-I Mediates Insomnia Severity during the COVID-19 Pandemic.

Study objectives

Method

Results

Conclusions

Publications

Self-efficacy in Insomnia Symptom Management after Digital CBT-I Mediates Insomnia Severity during the COVID-19 Pandemic.

Similar Datasets

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