Objective: Findings show virtual therapy (conducted using internet-based videoconferencing techniques) to be a viable alternative to in-person therapy for a variety of mental-health problems. COVID-19 social-distancing imperatives required us to substitute virtual interventions for in-person sessions routinely offered in our outpatient eating disorder (ED) program-and afforded us an opportunity to compare the two treatment formats for clinical efficacy.Methods: Using self-report assessments, we compared outcomes in a historical
Background Sleep problems are common in eating disorders (EDs). Purpose We evaluated whether sleep-phasing regularity associates with the regularity of daily eating events. Methods ED patients (n = 29) completed hourly charts of mood and eating occasions for 2 weeks. Locomotor activity was recorded continuously by wrist actigraphy for a minimum of 10 days, and sleep was calculated based on periods of inactivity. We computed the center of daily inactivity (CenDI) as a measure of sleep phasing and consolidation of the daily inactivity (ConDI) as a measure of daily sleep rhythm strength. We assessed interday irregularities in the temporal structure of food intake using the standard deviation (SD) of frequency (IFRQ), timing (ITIM), and interval (IINT) of food intake. A self-evaluation of other characteristics included mood, anxiety, and early trauma. Results A later phasing of sleep associated with a lower frequency of eating (eating frequency with the CenDI rho = −0.49, p = .007). The phasing and rhythmic strength of sleep correlated with the degree of eating irregularity (CenDI with ITIM rho = 0.48, p = .008 and with IINT rho = 0.56, p = .002; SD of CenDI with ITIM rho = 0.47, p = .010, and SD of ConDI with IINT rho = 0.37, p = .048). Childhood Trauma Questionnaire showed associations with variation of sleep onset (rho = −0.51, p = .005) and with IFRQ (rho = 0.43, p = .023). Conclusions Late and variable phasing of sleep associated robustly with irregular pattern of eating. Larger data sets are warranted to enable the analysis of diagnostic subgroups, current medication, and current symptomatology and to confirm the likely bidirectional association between eating pattern stability and the timing of sleep.
Background Sleep problems are common in bipolar disorders (BDs). To objectively characterize these problems in BDs, further methodological development is needed to capture subjective insomnia. Aim To test psychometric properties of the Athens Insomnia Scale (AIS), and associations with actigraphy‐derived measures, applying modifications in actigraphy data processing to capture features of perturbed sleep in patients with a BD. Methods Seventy‐four patients completed the AIS and the Quick Inventory of Depressive Symptomatology, self‐report (QIDS‐SR‐16). Locomotor activity was continuously recorded by wrist actigraphy for ≥10 consecutive days. We computed the sleep onset/offset, the center of daily inactivity (CenDI), as a proxy for chronotype, and the degree of consolidation of daily inactivity (ConDI), as a proxy for sleep‐wake rhythm strength. Results AIS showed good psychometric properties (Cronbach's alpha = 0.84; test–retest correlation = 0.84, P<.001). Subjective sleep problems correlated moderately with a later sleep phase (CenDI with AIS rho = 0.34, P = .003), lower consolidation (ConDI with AIS rho = −0.22, P = .05; with QIDS‐SR‐16 rho = −0.27, P = .019), later timing of sleep offset (with AIS rho = 0.49, P = ≤.001, with QIDS‐SR‐16 rho = 0.36, P = .002), and longer total sleep (with AIS rho = 0.29, P = .012, with QIDS‐SR‐16 rho = 0.41, P = ≤.001). While AIS was psychometrically more solid, correlations with objective sleep were more consistent across time for QIDS‐SR‐16. Conclusions AIS and QIDS‐SR‐16 are suitable for clinical screening of sleep problems among patients with a BD. Subjective insomnia associated with objective measures. For clinical and research purposes, actigraphy and data visualization on inactograms are useful for accurate longitudinal characterization of sleep patterns.
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