Literature DB >> 25786045

Agreement between self-reported sleep patterns and actigraphy in fibromyalgia and healthy women.

Víctor Segura-Jiménez1, Daniel Camiletti-Moirón2, Diego Munguía-Izquierdo3, Inmaculada C Álvarez-Gallardo1, Jonatan R Ruiz1, Francisco B Ortega1, Manuel Delgado-Fernández1.   

Abstract

OBJECTIVES: To examine the agreement between objective (accelerometer) and subjective measures of sleep in fibromyalgia women (FW) and healthy women (HW). To identify explanatory variables of the discrepancies between the objective and subjective measures in FW and in HW.
METHODS: 127 diagnosed FW and 53 HW filled the Fibromyalgia Impact Questionnaire (FIQ) and wore the SenseWear Pro Armband (SWA) for 7 days in order to assess sleep over the last week. Participants completed the Pittsburgh Sleep Quality Index (PSQI) when the SWA was returned.
RESULTS: The SWA showed greater total duration (74 vs. 88 min/day) and average duration (7 vs. 9 min) of wake after sleep onset in FW compared with HW. The PSQI showed poorer sleep quality in all the variables studied in FW than in HW (all, p<0.001), except time in bed. There was a lack of inter-method agreement for total sleep time, sleep time without naps and sleep latency in FW. Age and educational status explained the inter-method mean difference in sleep time in FW. High discrepancy in sleep time between the SWA and the PSQI was related to higher FIQ scores (p<0.05).
CONCLUSIONS: The objective measure only showed higher frequency and average duration of wake after sleep onset in FW compared with HW. The agreement between the SWA and the PSQI measures of sleep were poor in the FW group. Age, educational level and the impact of fibromyalgia might be explanatory variables of the inter-method discrepancies in FW.

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Year:  2015        PMID: 25786045

Source DB:  PubMed          Journal:  Clin Exp Rheumatol        ISSN: 0392-856X            Impact factor:   4.473


  6 in total

1.  The accuracy of the 24-h activity recall method for assessing sedentary behaviour: the physical activity measurement survey (PAMS) project.

Authors:  Youngwon Kim; Gregory J Welk
Journal:  J Sports Sci       Date:  2016-03-28       Impact factor: 3.337

2.  Discrepancies between self-reported and device-measured sleep parameters in adults with multiple sclerosis.

Authors:  Katie L J Cederberg; Brianna G Mathison; Morgan L Schuetz; Robert W Motl
Journal:  J Clin Sleep Med       Date:  2022-02-01       Impact factor: 4.062

3.  Physical Activity and Sleep in Chronic Fatigue Syndrome and Fibromyalgia Syndrome: Associations with Symptom Severity in the General Population Cohort LifeLines.

Authors:  Monica L Joustra; Wilma L Zijlema; Judith G M Rosmalen; Karin A M Janssens
Journal:  Pain Res Manag       Date:  2018-11-04       Impact factor: 3.037

4.  Sedentary Time, Physical Activity, and Sleep Duration: Associations with Body Composition in Fibromyalgia. The Al-Andalus Project.

Authors:  Blanca Gavilán-Carrera; Pedro Acosta-Manzano; Alberto Soriano-Maldonado; Milkana Borges-Cosic; Virginia A Aparicio; Manuel Delgado-Fernández; Víctor Segura-Jiménez
Journal:  J Clin Med       Date:  2019-08-20       Impact factor: 4.241

Review 5.  Sleep Problems in Chronic Inflammatory Diseases: Prevalence, Treatment, and New Perspectives: A Narrative Review.

Authors:  Marta Ditmer; Agata Gabryelska; Szymon Turkiewicz; Piotr Białasiewicz; Ewa Małecka-Wojciesko; Marcin Sochal
Journal:  J Clin Med       Date:  2021-12-23       Impact factor: 4.241

6.  Comparison of sleep quality assessed by actigraphy and questionnaires to healthy subjects.

Authors:  Arturo Forner-Cordero; Guilherme Silva Umemura; Fabianne Furtado; Bruno da Silva Brandão Gonçalves
Journal:  Sleep Sci       Date:  2018 May-Jun
  6 in total

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