Does the reproductive cycle influence sleep patterns in women with sleep complaints?

OBJECTIVE: The aim of the present study was to investigate how prominent gynecological factors (regular/irregular menstrual cycle, premenstrual complaints, or menopause) can influence both subjective and objective sleep data. METHODS: A total of 931 women who sought clinical assistance because of a sleep complaint were included in the investigation. All subjects filled out a sleep and gynecological questionnaire prior to undergoing a polysomnography (PSG) recording. RESULTS: Premenopausal women with an irregular menstrual cycle were more likely to report sleep difficulties (related to falling sleep and insomnia symptoms) than those with a regular cycle (odds ratio 2.1; 95% confidence interval 1.2-3.5). These women showed increased light sleep stages and awakenings. Premenstrual complaints were reported by a higher percentage of women with periodic leg movement, lower time in saturation under 90%, and higher sleep efficiency. A lower percentage of women who took hormonal contraceptives reported snoring, had fewer arousals and longer REM latency compared to those not taking hormonal contraceptives. Menopausal women with hot flushes had more restless leg complaints. Awake time was shorter in hormone therapy users compared with non-users. Women with menopause are more likely to have an apnea-hypoapnea index greater than 5/h. CONCLUSION: The present findings suggest that gynecological status is associated with subjective sleep quality and objective sleep parameters in women with sleep complaints.

Effect of smoking habits on sleep.

To evaluate the effect of smoking habits on sleep, data from 1492 adults referred to the Sleep Institute were accessed and divided into 3 categories of smoking status: current, former and non-smokers. Categories of pack-years (<15 and > or =15) defined smoking severity. The association of smoking status and smoking severity with sleep was analyzed for sleep parameters, especially apnea and hypopnea index (AHI) > or =5, more than 5% of total sleep time (TST) spent with oxyhemoglobin saturation (SaO2) <90%, and arousal index. The arousal index was higher among current (21 +/- 17) and former smokers (20 +/- 17) than non-smokers (17 +/- 15; P < 0.04). Former smokers had a higher percent of TST at SaO2 <90% than non-smokers (9 +/- 18 vs 6 +/- 13; P < 0.04). Former smokers with pack-years > or =15 compared to <15 exhibited higher AHI (22 +/- 24 vs 16 +/- 21; P < 0.05) and arousal index (22 +/- 19 vs 18 +/- 15; P < 0.05). Current smokers with pack-years > or =15 compared to <15 exhibited higher arousal index (23 +/- 18 vs 18 +/- 16; P < 0.05) and percent of TST at SaO2 <90% (11 +/- 17 vs 6 +/- 13; P < 0.05). Smoking status and pack-years were not associated with AHI > or =5 on logistic regression analysis, but current smokers with pack-years > or =15 were 1.9 times more likely to spend more than 5% of TST at SaO2 <90% than non-smokers (95%CI = 1.21-2.97; P = 0.005). The variability of arousal index was influenced by gender, AHI and current smokers with pack-years > or =15 (all P < 0.01). Smoking habits seem to be associated with arousal and oxyhemoglobin desaturation during sleep, but not with AHI. The effect was more pronounced in current than former smokers.

Effect of smoking habits on sleep

To evaluate the effect of smoking habits on sleep, data from 1492 adults referred to the Sleep Institute were accessed and divided into 3 categories of smoking status: current, former and non-smokers. Categories of pack-years (<15 and greater than or equal to 15) defined smoking severity. The association of smoking status and smoking severity with sleep was analyzed for sleep parameters, especially apnea and hypopnea index (AHI) greater than or equal to 5, more than 5 percent of total sleep time (TST) spent with oxyhemoglobin saturation (SaO2) <90 percent, and arousal index. The arousal index was higher among current (21 plus or minus 17) and former smokers (20 plus or minus 17) than non-smokers (17 plus or minus 15; P < 0.04). Former smokers had a higher percent of TST at SaO2 <90 percent than non-smokers (9 more less 18 vs 6 more less 13; P < 0.04). Former smokers with pack-years greater than or equal to 15 compared to <15 exhibited higher AHI (22 plus or minus 24 vs 16 plus or minus 21; P < 0.05) and arousal index (22 plus or minus 19 vs 18 plus or minus 15; P < 0.05). Current smokers with pack-years greater than or equal to 15 compared to <15 exhibited higher arousal index (23 plus or minus 18 vs 18 plus or minus 16; P < 0.05) and percent of TST at SaO2 <90 percent (11 plus or minus 17 vs 6 more less 13; P < 0.05). Smoking status and pack-years were not associated with AHI greater than or equal to 5 on logistic regression analysis, but current smokers with pack-years greater than or equal to 15 were 1.9 times more likely to spend more than 5 percent of TST at SaO2 <90 percent than non-smokers (95 percentCI = 1.21-2.97; P = 0.005). The variability of arousal index was influenced by gender, AHI and current smokers with pack-years greater than or equal to 15 (all P < 0.01). Smoking habits seem to be associated with arousal and oxyhemoglobin desaturation during sleep, but not with AHI. The effect was more pronounced in current than former smokers.

Repercussions of a sleep medicine outreach program.

Despite the high prevalence of sleep disorders, many healthcare professionals and lay people have little knowledge of Sleep Medicine. Mindful of such a reality, in 2001 the Sleep Institute of the Associação Fundo de Incentivo à Psicofarmacologia launched a campaign to increase Sleep Medicine awareness. Media features, exhibitions, inserts, and classes were used to reach 2,000,000 people and 55,000 healthcare professionals during the period from 2001 to 2004. To evaluate this program, we compared data for polysomnography referrals to the Institute in 2000 and in 2004. A total of 8805 referrals were evaluated (2000: 2164; 2004: 6641). Over the 4 years of the program, the number of beds increased by 43%; more women were referred (31 vs 37%; P < 0.001), mainly with a diagnostic hypothesis of sleep-disorder breathing (SDB). SDB was the most frequent diagnostic hypothesis in 2000 and 2004. In 2004 there were fewer referrals without a diagnostic hypothesis (27 vs 21%; P < 0.001) and for controlling surgically treated SDB (2.3 vs 1.6%; P < 0.05), and an increase in the following diagnostic hypotheses: non-invasive treatment of SDB (8.3 vs 12.3%; P < 0.001) and insomnia (3.5 vs 6.5%; P < 0.001). Insomnia diagnostic hypothesis was better correlated with SDB on referral documents in 2004 and less with a diagnostic hypothesis of limb movement disturbance. The program helped increase polysomnography referrals, particularly among women. Healthcare professionals appear to have a more developed understanding of sleep disorders.

Repercussions of a sleep medicine outreach program

Despite the high prevalence of sleep disorders, many healthcare professionals and lay people have little knowledge of Sleep Medicine. Mindful of such a reality, in 2001 the Sleep Institute of the Associação Fundo de Incentivo à Psicofarmacologia launched a campaign to increase Sleep Medicine awareness. Media features, exhibitions, inserts, and classes were used to reach 2,000,000 people and 55,000 healthcare professionals during the period from 2001 to 2004. To evaluate this program, we compared data for polysomnography referrals to the Institute in 2000 and in 2004. A total of 8805 referrals were evaluated (2000: 2164; 2004: 6641). Over the 4 years of the program, the number of beds increased by 43 percent; more women were referred (31 vs 37 percent; P < 0.001), mainly with a diagnostic hypothesis of sleep-disorder breathing (SDB). SDB was the most frequent diagnostic hypothesis in 2000 and 2004. In 2004 there were fewer referrals without a diagnostic hypothesis (27 vs 21 percent; P < 0.001) and for controlling surgically treated SDB (2.3 vs 1.6 percent; P < 0.05), and an increase in the following diagnostic hypotheses: non-invasive treatment of SDB (8.3 vs 12.3 percent; P < 0.001) and insomnia (3.5 vs 6.5 percent; P < 0.001). Insomnia diagnostic hypothesis was better correlated with SDB on referral documents in 2004 and less with a diagnostic hypothesis of limb movement disturbance. The program helped increase polysomnography referrals, particularly among women. Healthcare professionals appear to have a more developed understanding of sleep disorders.