Background The COVID-19 pandemic has negatively impacted psychological health. Mindfulness training, which helps individuals attend to the present moment with a nonjudgmental attitude, improves sleep and reduces stress during regular times. Mindfulness training may also be relevant to the mitigation of harmful health consequences during acute crises. However, certain restrictions may necessitate the web-based delivery of mindfulness training (ie, rather than in-person group training settings). Objective The objective of our study was to examine the effects of mindfulness interventions during the COVID-19 pandemic and to evaluate the effectiveness of web-based interventions. Methods Data from an ongoing study were used for this retrospective equivalence analysis. Recruited participants were enrollees from mindfulness courses at a local charity organization that promoted mental wellness. This study had no exclusion criteria. We created three groups; two groups received their training during the COVID-19 pandemic (in-person training group: n=36; videoconferencing group: n=38), and a second control group included participants who were trained before the pandemic (n=86). Our primary outcomes were self-reported stress and sleep quality. Baseline levels and changes in these variables due to mindfulness training were compared among the groups via an analysis of covariance test and two one-tailed t tests. Results Baseline perceived stress (P=.50) and sleep quality (P=.22) did not differ significantly among the three groups. Mindfulness training significantly reduced stress in all three groups (P<.001), and this effect was statistically significant when comparing videoconferencing to in-person training (P=.002). Sleep quality improved significantly in the prepandemic training group (P<.001). However, sleep quality did not improve in the groups that received training during the pandemic. Participants reported that they required shorter times to initiate sleep following prepandemic mindfulness training (P<.001), but this was not true for those who received training during the pandemic. Course attendance was high and equivalent across the videoconferencing and comparison groups (P=.02), and participants in the videoconferencing group engaged in marginally more daily practice than the in-person training group. Conclusions Web-based mindfulness training via videoconferencing may be a useful intervention for reducing stress during times when traditional, in-person training is not feasible. However, it may not be useful for improving sleep quality.

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BACKGROUND The COVID-19 pandemic has had a negative impact on psychological health. Mindfulness training, which helps individuals attend to the present moment with a non-judgmental attitude, improves sleep and reduces stress in regular times, and may be relevant in mitigating harmful health consequences during acute crises. However, restrictions may necessitate this training being delivered online, rather than in in-person group settings. OBJECTIVE The objective of our study was to establish equivalence of mindfulness interventions delivered via videoconferencing during the COVID-19 pandemic with similar programs delivered in person. METHODS Data from an ongoing study were used for this retrospective equivalence trial. Participants were recruited (with no exclusion criteria) from enrollees in mindfulness courses at a local charity organization promoting mental wellness. Three groups were created, two that received their training during the period of the COVID-19 pandemic (in-person (N = 36) and videoconferencing (N = 38)), and a second control group of participants tested before the pandemic (N = 86). Primary outcomes were self-reported stress and sleep quality. Baseline levels, and changes in these variables due to mindfulness training were compared among the groups using analysis of covariance and two one-sided t-tests. RESULTS Perceived stress and sleep quality did not differ significantly between groups at baseline. Mindfulness training significantly reduced stress in all three groups, and this effect was statistically equivalent for videoconferencing compared to in-person training. Sleep quality improved significantly in the pre-pandemic group, but in neither of the groups during the pandemic. Participants reported shorter times to initiate sleep following mindfulness training pre-pandemic, but not during the pandemic. Course attendance was high and equivalent across the online and comparison groups, and participants engaged in marginally more daily practice in the online condition. CONCLUSIONS Online mindfulness training via videoconferencing may be a useful intervention for stress reduction but not sleep improvement during times when traditional in-person training is not feasible. CLINICALTRIAL The aims for this study were retrospectively registered as part of an ongoing protocol at ClinicalTrials.gov with registration number NCT04417153

Introduction Poor sleep is a modifiable risk factor for multiple chronic disorders. Mindfulness-based therapies potentially improve sleep by enhancing awareness and acceptance of internal and external experiences, thus reducing pre-sleep hyper-arousal. In this pre-registered, randomized controlled trial, we tested the effect of mindfulness-based treatment for insomnia (MBTI) on subjective sleep quality measures (Pittsburgh Sleep Quality Questionnaire, PSQI) in the elderly. Methods Participants above 50 years old with sleep difficulties (PSQI ≥ 5) (mean (sd) age = 62.0 (6.35), 44 female) attended either an 8-week MBTI (N = 34) or sleep hygiene education and exercise program (SHEEP; N = 35). Before and after the interventions, we collected PSQI, insomnia symptoms and features measures (Pre-Sleep Arousal Scale, PSAS; Insomnia Severity Index, ISI; Dysfunctional Beliefs and Attitudes about Sleep, DBAS-30), mindfulness (Five-Facets Mindfulness Questionnaire, FFMQ), and mood and anxiety (Back Depression Inventory, BDI; State-Trait Anxiety Inventory, STAI). PSQI and PSAS (N = 26 to date) were collected at 6-month follow-up. Data were analysed with repeated-measures ANCOVA with group as a between-subject variable for the first 69 participants who completed the study. Results We observed significant improvement across both groups for sleep measures (PSQI: F1,67=36.442, p&lt;.01; PSAS-Cognitive: F1,67=12.664, p&lt;.01; ISI: F1,67=36.442, p&lt;.0; DBAS: F1,67=28.749, p&lt;.01) and mood (BDI: F1,67=26.393, p&lt;.01; STAI-State: F1,67=4.608, p=.04; STAI-Trait: F1,67=7.687, p&lt;.01), but not for Mindfulness (F1,67=2.256, p=.14) nor PSAS-somatic. No significant group by time interactions were found. We observed a correlation between PSQI decreases and FFMQ increases in MBTI (r=-.53, p&lt;.01), but not in SHEEP (r=-.07, p=.70) participants. ANCOVA of 6-month PSQI data revealed a significant group by time interaction (F1,24=19.525, p=.03), with reduction from baseline in MBTI (t12=4.769, p&lt;.01), but not in SHEEP group (t12=3.813, p=.08). Conclusion Preliminary results support MBTI as an accessible but effective behavioural intervention with potential long-term benefits for improving sleep and mood, and reducing cognitive-emotional arousal in the elderly. Support This study was supported by an award from the 7th grant call of the Singapore Millennium Foundation Research Grant Programme

Introduction Mindfulness-based treatment for insomnia (MBTI) is a viable intervention for improving poor sleep. We report preliminary data from an ongoing pre-registered, randomized controlled trial which investigates the effect of MBTI on elderly adults. Methods Participants above 50 years old with PSQI ≥ 5 were recruited and randomised into either MBTI or an active control group (Sleep hygiene education and exercise program, SHEEP) in sequential cohorts with about 20 participants per cohort (10 per group). Before and after the intervention, 1 night of portable polysomnography (PSG) and 1 week of actigraphy (ACT) and sleep diary (DIARY) data were collected. We report the ACT and DIARY results of the first 3 cohorts (n = 46, male = 23, mean age = 62.3, std = 6.3) and PSG data of the first 2 cohorts (n = 29, male = 12, mean age = 62.5, std = 5.7). Time in bed (TIB), total sleep time (TST), sleep onset latency (SOL), wake after sleep onset (WASO), and sleep efficiency (SE) were analysed with mixed-model repeated-measures ANOVA. Results We observed increases in TIBDIARY (F1,44 = 5.151, p &lt; .05) and SEDIARY (F1,44 = 22.633, p &lt; .0001), and significant reductions in SOLDIARY (F1,44 = 7.031, p &lt; .05) and WASODIARY (F1,39 = 7.411, p &lt; .05). In the actigraphy data, we found a significant interaction in SOLACT (F1,39 = 4.273, p &lt; .05) with an increase in SHEEP SOLACT (t18= 2.36, p &lt; .05). Significant reductions were also observed in WASOACT (F1,44 = 16.459, p &lt; .0001) Finally, we observed a reduction in SOLPSG (F1,26 = 5.037, p &lt;. 05). All other tests were non-significant. Conclusion Preliminary results suggest that both interventions lead to improvements in sleep with more pronounced effects in subjective sleep reports. Objective sleep data suggest that improvements in sleep is a result of improved sleep quality and not simply extending sleep opportunity. These preliminary data shows that MBTI may be a promising intervention for elderly individuals with sleep difficulties. Support This study was supported by an award from the 7th grant call of the Singapore Millennium Foundation Research Grant Programme