Clinical Application of Actigraphy in Psychotic Disorders: A Systematic Review

Tahmasian, Masoud; Khazaie, Habibolah; Golshani, Sanobar; Avis, Kristin T.

doi:10.1007/s11920-013-0359-2

Cited by 40 publications

(32 citation statements)

References 33 publications

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“…First, it was a questionnaire based study and we did not use reliable objective measures such as actigraphy, which is a reliable tool for confirming a diagnosis and evaluating sleep problems . [40,41] Second, the DSM-IV-TR suggests that PMDD should be diagnosed prospectively, which was not done in the present study.…”

Section: Limitationmentioning

confidence: 86%

Sleep quality in university students with premenstrual dysphoric disorder

Khazaie

Chehri

2017

Sleep Medicine

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•Original research article• Background: Up to 8% of women in their reproductive years are affected by Premenstral Dysphoric Disorder (PMDD). Sleep disturbances such as insomnia or hypersomnia are one of the DSM-IV-TR's defining criteria for the diagnosis of PMDD and are found in about 70% of women with the disorder. However, studies are lacking that specifically address the effects of PMDD on quality of sleep. Aim: This study was designed to evaluate the prevalence of Premenstrual DysphoricDisorder (PMDD) and its impact on sleep quality in female university students. Methods: We developed an 18-item PMDD scale based on The Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) to diagnose PMDD in female university studentswho ranged in age from 18 to 30 years and had regular menstrual cycles.Participants were categorized into a PMDD group or a No/PMDD group and sleep quality was compared between the two groups. The evaluation tool used to measure sleep quality was the Pittsburgh Sleep Quality Index (PSQI). Results: The prevalence of PMDD in female universitystudents was 25.5%. Analysis of the PSQI demonstrated that 80.5% of those in PMDD group had a PSQI that scored >5; however, only 56.4% in the No/ PMDD grouphad a PSQI that scored >5 (χ 2 =12.459, p<0.001). The mean PSQI score was 8.2(3.4) in the PMDD group and was 6.5(3.1) in the No/PMDD group (t=3.648, p<0.001). Conclusions: Female university students who experience PMDD are deeply affected by sleep problems. Lower sleep quality, daytime dysfunction, and sleep disturbance are common sleep problems among female university students with PMDD.

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Section: Limitationmentioning

confidence: 86%

Sleep quality in university students with premenstrual dysphoric disorder

Khazaie

Chehri

2017

Sleep Medicine

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“…Although our results suggest that the Persian version of SHI is a reliable and valid tool for evaluating sleep hygiene, objective evaluations will be necessary for clarifying sleep hygiene in future researches. Although polysomnography is the gold standard for sleep studies (28), actigraphy has become increasingly recognized as a useful method to study sleep/wake patterns and monitoring (29). Using actigraphy for objective evaluation of sleep hygiene is strongly suggested for further researches.…”

Section: Discussionmentioning

confidence: 99%

Psychometric Properties of the Persian Version of Sleep Hygiene Index in the General Population

Chehri

Kiamanesh

Ahadi

et al. 2016

Iran J Psychiatry Behav Sci

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BackgroundInadequate sleep hygiene may result in difficulties in daily functioning; therefore, reliable scales for measuring sleep hygiene are important.ObjectivesThe purpose of this study was to assess the psychometric properties of the Persian version of the Sleep Hygiene Index (SHI).Materials and MethodsFrom April 2014 to May 2015, 1280 subjects, who were selected by cluster random sampling in Kermanshah province, filled out the SHI, Pittsburgh sleep quality index (PSQI), Epworth sleepiness scale (ESS), and insomnia severity index (ISI). A subset of the participants (20%) repeated the SHI after a four to six-week interval to measure test–retest reliability. Then, we computed the Pearson product-moment correlation coefficients of SHI against PSQI, ESS and ISI, to demonstrate the construct validity of the SHI. The factor structure of the SHI was evaluated by explanatory factor analysis.ResultsThe interclass correlation coefficient was 0.89, and SHI was found to have good test–retest reliability (r = 0.89, P < 0.01). The SHI was positively correlated with the total score of the PSQI (r = 0.60, P < 0.01), ESS (r = 0.62, P < 0.01) and ISI (r = 0.60, P < 0.01). Exploratory factor analysis extracted three factors, namely “sleep–wake cycle behaviors” (four items), “bedroom factors” (three items), and “behaviors that affect sleep” (six items).ConclusionsThe Persian version of the SHI can be considered a reliable tool for evaluating sleep hygiene in the general population.

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“…Previous research has applied drawing tasks in depressed subjects to reveal substantial fine motor retardation in patients with MDD [14-18]. Several studies have measured gross motor activity in psychiatric disorders by means of wrist actimetry [19, 20] and found lower gross psychomotor activity in depressed patients than in healthy controls [21-24]. Melancholic patients have also been found to be less active during wakefulness than nonmelancholic patients [21, 24].…”

Section: Introductionmentioning

confidence: 99%

Distinguishing Subgroups Based on Psychomotor Functioning among Patients with Major Depressive Disorder

et al. 2017

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Background: Retardation and agitation are symptoms of major depressive disorder (MDD), and their presence could play a role in determining clinically meaningful depressive subtypes such as nonmelancholic depression (NMD) and melancholic depression (MD). In this project, we explored whether three depression subgroups (NMD, MD with psychotic symptoms, and MD without psychotic symptoms) could be distinguished based on objective measures of psychomotor functioning. Methods: Sixty-nine patients with MDD underwent extensive clinical and psychomotor testing prior to treatment with electroconvulsive therapy. Psychomotor functioning was assessed subjectively using the Core Assessment of Psychomotor Change (CORE) and objectively by means of both 24-h actigraphy and performance on a fine motor drawing task. Results: The daytime activity levels measured by actigraphy were significantly lower (F = 7.1, p = 0.0004) in MD patients both with and without psychotic symptoms than in those with NMD. No objective psychomotor variable was able to distinguish between melancholic patients with and those without psychotic symptoms. Conclusions: The depression subtypes NMD, MD with psychotic symptoms, and MD without psychotic symptoms are not marked by increasing psychomotor retardation, possibly because psychomotor disturbance in MD with psychotic symptoms often consists of agitation rather than retardation, or a mixture of the two. However, psychomotor functioning as measured by actigraphy can be used to distinguish between NMD patients and MD patients.

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Clinical Application of Actigraphy in Psychotic Disorders: A Systematic Review

Cited by 40 publications

References 33 publications

Sleep quality in university students with premenstrual dysphoric disorder

Sleep quality in university students with premenstrual dysphoric disorder

Psychometric Properties of the Persian Version of Sleep Hygiene Index in the General Population

Distinguishing Subgroups Based on Psychomotor Functioning among Patients with Major Depressive Disorder

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