Study of Sleep Habits and Prevalence of Sleepiness in a Health Care Environment in Barcelona

Descriptive study population in a working population in a tertiary hospital in Barcelona (Spain). The population will consist of subjects who come to the annual medical checkups at the hospital. Exclusion criteria: pregnant women.

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:

• General information and anthropometric data
• 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)

• Not rested during the day no matter how many hours of sleep you had
• Feeling of excessive daytime sleepiness 0.71† 0.08 0.03
• Great difficulty getting up in the morning 0.62† -0.06 -0.05
• Need for coffee, or other stimulants to stay awake during the day
• 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:

• General and anthropometric data (Mean and Standard Deviation)
• Sleep habits: sleep latency, sleep time (night and 24 hours), satisfaction with sleep, sleep-debt, anxiolytic medication before bedtime
• 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.
• Prevalence of traffic accidents in itinera, and their association with daytime sleepiness, shift work or sleep apnea symptoms.
• 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.

Inclusion criteria

• Workers attending annual checkups at the Hospital's medical department.

Exclusion criteria

• Pregnant women