Study of Sleep Habits and Prevalence of Sleepiness in a Health Care Environment in Barcelona
NCT ID: NCT01175304
Last Updated: 2011-07-06
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
500 participants
OBSERVATIONAL
2010-08-31
2010-12-31
Brief Summary
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Detailed Description
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Assuming a prevalence of excessive daytime sleepiness of 20 ± 5% with a confidence interval of 95% the number of subjects to be studied is 500.
Methods:
1. General information and anthropometric data
2. Questionnaires
2.1. General questionnaire, working schedules and anthropometric data
2.2. Sleeping habits questionnaire
2.3. Frequency of perceived daytime sleepiness (5 item questionnaire(Kim H, Young T.Sleep 2005;28:625-634)
1. Not rested during the day no matter how many hours of sleep you had
2. Feeling of excessive daytime sleepiness 0.71† 0.08 0.03
3. Great difficulty getting up in the morning 0.62† -0.06 -0.05
4. Need for coffee, or other stimulants to stay awake during the day
5. Falling asleep or dozing momentarily at meetings, church, etc. (item responses (frequency per month): 0=never, 1=rarely (once), 2= sometimes(2-4), 3 (often (5-15), 4=almost always (16-30)
2.4. Epworth sleepiness scale
2.5. Berlin Questionnaire
Questionnaires will be answered in an anonymous and voluntary way on the part of workers.
Data analysis:
1. General and anthropometric data (Mean and Standard Deviation)
2. Sleep habits: sleep latency, sleep time (night and 24 hours), satisfaction with sleep, sleep-debt, anxiolytic medication before bedtime
3. Prevalence of daytime sleepiness:
* Daytime sleepiness questionnaire, consisting of five items coded on a 0-4 ordinal scale (range 00-20 final score).
* Epworth sleepiness scale: range 0-24, being a value ≥ 10 indicative of daytime sleepiness.
* Association between daytime sleepiness, anthropometric variables, and variables derived from sleeping habits questionnaire.
4. Prevalence of traffic accidents in itinera, and their association with daytime sleepiness, shift work or sleep apnea symptoms.
5. Berlin Questionnaire: - Category 1 positive with 2 or more positive answers to questions 2-6 - Category 2 positive with 2 or more positive answers to questions 7-9 - Category 3 positive response with a positive and / or a BMI\> 30 or more positive categories indicates a high probability of sleep apnea syndrome.
Conditions
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Study Design
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ECOLOGIC_OR_COMMUNITY
CROSS_SECTIONAL
Study Groups
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Workers in a Barcelona tertiary hospital
Workers attending annual medical checkups
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
65 Years
ALL
No
Sponsors
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Hospital Universitari Vall d'Hebron Research Institute
OTHER
Responsible Party
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Servei Pneumologia Vall d'Hebron
Principal Investigators
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Patricia Lloberes, MD,pHD
Role: PRINCIPAL_INVESTIGATOR
Servei de Pneumologia Hospital Universitari Vall d'Hebron Barcelona
Locations
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Hospital Universitari Vall D' Hebron
Barcelona, Barcelona, Spain
Countries
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References
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Kaneita Y, Ohida T, Uchiyama M, Takemura S, Kawahara K, Yokoyama E, Miyake T, Harano S, Suzuki K, Yagi Y, Kaneko A, Tsutsui T, Akashiba T. Excessive daytime sleepiness among the Japanese general population. J Epidemiol. 2005 Jan;15(1):1-8. doi: 10.2188/jea.15.1.
Kim H, Young T. Subjective daytime sleepiness: dimensions and correlates in the general population. Sleep. 2005 May;28(5):625-34. doi: 10.1093/sleep/28.5.625.
Johns MW. A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep. 1991 Dec;14(6):540-5. doi: 10.1093/sleep/14.6.540.
Netzer NC, Hoegel JJ, Loube D, Netzer CM, Hay B, Alvarez-Sala R, Strohl KP; Sleep in Primary Care International Study Group. Prevalence of symptoms and risk of sleep apnea in primary care. Chest. 2003 Oct;124(4):1406-14. doi: 10.1378/chest.124.4.1406.
Other Identifiers
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PR(AG)40/2009
Identifier Type: -
Identifier Source: org_study_id
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