Norah Vincent

Psychiatric comorbidity in anorexia and bulimia nervosa: nature, prevalence, and causal relationships

Eating disorders are complex, multifactorially determined phenomena. When individuals with eating disorders present for treatment with comorbid conditions, case conceptualization is further complicated and, as a result, it may be difficult to determine optimal psychological or pharmacological treatment. This article reviews the evidence of the association between eating disorders (anorexia nervosa [AN] and bulimia nervosa [BN]) and Axis I depression, obsessive-compulsive disorder (OCD), substance abuse, and Axis II personality disorders, for the purposes of increasing awareness about the different options for case conceptualization. Although other diagnoses comorbid with eating disorders are of interest to clinicians (e.g., posttraumatic stress disorder [PTSD] and social phobia), their comprehensive review is currently premature due to a lack of empirical scrutiny. Finally, future directions for research, including suggestions for the use of particular assessment tools and more sophisticated research designs, are discussed.

A population-based study of fatigue and sleep difficulties in inflammatory bowel disease

Background: There has been little investigation of fatigue, a common symptom in inflammatory bowel disease (IBD). The aim of this study was to evaluate fatigue more comprehensively, considering relationships with psychological and biological factors simultaneously in a population‐based IBD community sample. Methods: Manitoba IBD Cohort Study participants (n = 318; 51% Crohns disease [CD]) were assessed by survey, interview, and blood sample. Fatigue, sleep quality, daytime drowsiness, stress, psychological distress, and quality of life were measured with validated scales. Hemoglobin (Hg) and C‐reactive protein (CRP) levels were also obtained. Differences were tested across disease activity and disease subtype. Results: Elevated CRP was found for 23% of the sample and 12% were anemic; 46% had active disease. Overall, 72% of those with active and 30% with inactive disease reached clinical thresholds for fatigue (Multidimensional Fatigue Inventory; P < 0.001); 77% and 49% of those with active or inactive disease, respectively, experienced poor sleep (P < 0.001). There were few differences between those with CD and ulcerative colitis (UC) on the factors assessed, except for higher CRP levels in CD (mean 8.8 versus 5.3, P < 0.02). Multiple logistic regression analyses found that elevated fatigue was associated with active disease (odds ratio [OR] 4.2, 95% confidence interval [CI] 2.2–7.8), poor sleep quality (OR 4.0, 95% CI 1.9–8.6), and perceived stress (OR 4.2, 95% CI 2.2–8.1), but not with hours of sleep, Hg, or CRP. Conclusions: Fatigue and poor sleep are not only highly prevalent in active disease, but both are still significant concerns for many with inactive disease. Psychological factors are associated with fatigue in IBD in addition to disease and sleep considerations. (Inflamm Bowel Dis 2011;)

Treatment preference in hypochondriasis.

Promising cognitive-behavioral and medication treatments for hypochondriasis are in the early stages of evaluation. Little is known about the treatment preferences and opinions of individuals seeking help for this problem. In this exploratory study, 23 volunteers from the community with a DSM-IV diagnosis of hypochondriasis were recruited through a newspaper advertisement. Participants were presented with a survey which included balanced descriptions of both a medication and a cognitive-behavioral treatment for intense illness concerns (hypochondriasis). The brief descriptions of the treatments discussed the time commitment required as well as the major advantages and disadvantages of each. Results showed that, relative to medication treatment, cognitive-behavioral treatment was predicted to be more effective in both the short and long terms and was rated as more acceptable. Psychological treatment was indicated as the first choice by 74% of respondents, medication by 4%, and 22% indicated an equal preference. Forty-eight percent of respondents would only accept the psychological treatment.

Barriers to Engagement in Sleep Restriction and Stimulus Control in Chronic Insomnia.

Sleep restriction (SRT) and stimulus control (SC) have been found to be effective interventions for chronic insomnia (Morgenthaler et al., 2006), and yet adherence to SRT and SC varies widely. The objective of this study was to investigate correlates to adherence to SC/SRT among 40 outpatients with primary or comorbid insomnia using a correlational design. Participants completed a self-report measure of sleepiness prior to completion of a 6-week cognitive behavioral treatment group for insomnia. At the posttreatment period, they rated their ability to engage in SC/SRT using a survey. Results from standard multiple regression analyses showed that perceiving fewer barriers (i.e., less boredom, annoyance) to engaging in SC/SRT and experiencing less pretreatment sleepiness were each associated with better adherence to SC/SRT. Adherence to SC/SRT was associated with outcome. Implications of these findings are that more work is needed to make SC/SRT less uncomfortable, possibly by augmenting energy levels prior to introducing these approaches.

Are personality dimensions associated with sleep length in a large nationally representative sample

OBJECTIVES The purpose of this hypothesis-generating study was to determine whether personality domains and specific personality traits are uniquely associated with sleep duration using data obtained from the National Comorbidity Survey (NCS). METHODS Using trained interviewers, we administered to the 5877 noninstitutionalized adults living in the United States the Composite International Diagnostic Interview (World Health Organization. Composite International Diagnostic Interview. Geneva, Switzerland: WHO, 1990) to assess for any DSM-III-R psychiatric diagnoses, and they completed self-report measures of personality and sleep. This was a secondary data analysis using information from a large existing public use data set (NCS-part II). The NCS-part II was an epidemiologic survey based on a stratified multistage area probability method with a response rate of 82.4%. RESULTS Using a multivariate logistic regression technique, we found significant and positive associations between short sleep (defined as <or=6 hours of sleep per 24-hour period) and self-criticism (odds ratio [OR] = 1.36), the presence of a medical condition (OR = 1.35), neuroticism (OR = 1.30), and the use of sedating medication in the past 12 months (OR = 1.26). Significant and positive associations were found for long sleep (defined as >or=9 hours per 24 hour period) and a diagnosis of dysthymia (OR = 1.52), the use of a sedating medication in the past 12 months (OR = 1.52), emotional reliance on another person (OR = 1.37), employment status (OR = 1.31), and marital status (OR = 1.20). CONCLUSIONS Findings suggest that personality, even after controlling for psychiatric and medical conditions, is associated with sleep length and may be an additional factor to consider when assessing any individual patient.

Attrition and Adherence in the Online Treatment of Chronic Insomnia

This study examined the ability of the Theory of Planned Behavior (TPB; Ajzen, 1985) and the Transtheoretical Model of Behavior Change (TTM; Prochaska & DiClemente, 1983) to explain adherence and attrition in an online treatment program for chronic insomnia. Responses to questionnaire measures of the TPB and TTM were used to predict adherence and dropout over the subsequent 5 weeks of treatment. Results showed that there was a 17% dropout rate and that perceived behavioral control, social support, and intention to complete the program were significantly associated with adherence to sleep hygiene homework. Attrition was predicted only by symptom severity and psychiatric comorbidity. Implications are that these models should be considered to maximize adherence.

Hyperarousal, sleep scheduling, and time awake in bed as mediators of outcome in computerized cognitive-behavioral therapy (cCBT) for insomnia

This study investigated the relationship between hyperarousal, sleep scheduling, and time awake in bed in a secondary data analysis. Participants were 89 adults with chronic insomnia previously involved in a randomized controlled trial of 5 weeks of computerized cognitive behavioral therapy (cCBT). At measurement periods, participants completed the Pre-Sleep Arousal Scale, 7 days of sleep diaries, and the Insomnia Severity Index. Measures were re-administered at a 4 week follow-up. Results showed that improvements in hyperarousal and time awake in bed partially mediated the impact of cCBT on sleep at follow-up but that improvements in sleep schedule consistency did not. Of these mediators, pre-sleep arousal is more significant in explaining change associated with cCBT for insomnia.

Stepped Care for Insomnia: An Evaluation of Implementation in Routine Practice

STUDY OBJECTIVES Stepped care models for chronic insomnia are in their infancy. This study evaluated predictors of movement in a stepped care pathway using a sample of 50 adult outpatients with chronic insomnia. METHODS At assessment periods, participants completed daily sleep diaries, the Insomnia Severity Index, the Multi-Dimensional Fatigue Inventory (MFI), and the Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS-10). Following this, data were collected regarding whether the individual went on to receive more intensive services (i.e., individual consultation, group or individual therapy). Data were analyzed using multi-nomial logistic regression. RESULTS Results showed that age, employment status, and sleep (quality, latency) predicted use of more intensive services. Results showed that psychiatric and sleep comorbidity, sleep attitudes, and insomnia severity did not. CONCLUSIONS Implications of these findings are that stepped care resulted in a 69% improvement in efficiency, and that low-intensity treatment delivered in step 1 may have been particularly sufficient for the young and employed, and for those with better sleep.

Sleep locus of control: report on a new scale.

The psychometric properties of a new 8-item measure, the Sleep Locus of Control Scale (SLOC), were investigated. A sample of 425 adult alumnae from the University of Manitoba and 57 community volunteers with chronic insomnia were surveyed. Results showed that the SLOC had acceptable reliability (i.e., internal consistency) and demonstrated convergent and discriminant validity through patterns of association with the Multidimensional Health Locus of Control Scale (Wallston, Wallston, & DeVellis, 1978). Principal factors extraction with varimax rotation identified two factors underlying the SLOC Scale. One factor captured an internal sleep locus of control orientation and the other reflected a chance sleep locus of control orientation. In the adult alumnae sample, having a more chance sleep locus of control was associated with greater perfectionism, depression, and anxiety. In adults with chronic insomnia, having a more internal sleep locus of control orientation was associated with increased sleep-related anxiety. One implication of the study is that too much emphasis on developing an internal sleep locus of control may be counterproductive (i.e., associated with increased sleep-related anxiety). Instead, achieving a balance between an internal and chance sleep locus of control orientation may be an important goal when treating individuals with chronic insomnia.

Sleep locus of control and computerized cognitive-behavioral therapy (cCBT)

This study investigated the relationship between sleep locus of control and sleep in a secondary data analysis. Participants were 100 adults with chronic insomnia previously involved in a randomized controlled trial of 5 weeks of computerized cognitive-behavioral therapy (cCBT). Additionally, a sample of 46 completers of an in-person group for insomnia were utilized as a comparison group. At pre-treatment, participants completed the Sleep Locus of Control Scale, the Insomnia Severity Index, the Pre-Sleep Arousal Scale, 7 days of sleep diaries, and participated in structured interviews to assess for psychiatric and medical conditions. Measures were re-administered at post-treatment and at a 4 week follow-up. Results showed that sleep locus of control mediated the impact of cCBT on insomnia severity at follow-up. cCBT more than waiting list control or a convenience sample of individuals treated with in-person CBT, enhanced an internal sleep locus of control. Implications are that sleep locus of control may be an important variable to assess in the internet context and that internet programs for insomnia may want to consider amplifying or giving priority to interventions which enhance an internal sleep locus.