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Am J Obstet Gynecol. Author manuscript; available in PMC Dec 1, 2013.
Published in final edited form as:
PMCID: PMC3505221
NIHMSID: NIHMS406762
Pregnancy-Onset Habitual Snoring, Gestational Hypertension, and Pre-eclampsia: Prospective Cohort Study
Louise M. O’BRIEN, Ph.D., M.S.,1,2 Alexandra S. BULLOUGH, M.B.Ch.B., F.R.C.A.,3 Jocelynn T. OWUSU, M.P.H.,1 Kimberley A. TREMBLAY, M.S.,1 Cynthia A. BRINCAT, M.D., Ph.D.,4 Mark C. CHAMES, M.D.,4 John D. KALBFLEISCH, Ph.D.,5 and Ronald D. CHERVIN, M.D., M.S.1
1Sleep Disorders Center, Department of Neurology, University of Michigan, Ann Arbor, MI, USA
2Department of Oral and Maxillofacial Surgery, University of Michigan, Ann Arbor, MI, USA
3Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
4Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI, USA
5Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
Address correspondence and reprint requests to: Louise M. O’Brien, Ph.D., M.S., Michael Aldrich Sleep Disorders Laboratory, C728 Med Inn, Box 5845, 1500 East Medical Center Drive, Ann Arbor, MI 48109-0845; Tel: 734 647 9064; Fax: 734 647 9065; louiseo/at/med.umich.edu
Objective
This study aimed to prospectively examine the impact of chronic vs. pregnancy-onset habitual snoring on gestational hypertension, pre-eclampsia, and gestational diabetes.
Study Design
Third trimester pregnant women were recruited from a large, tertiary medical center, between March 2007 and December 2010 and screened for the presence and duration of habitual snoring, as a known marker for sleep-disordered breathing. Clinical diagnoses of gestational hypertension, pre-eclampsia, and gestational diabetes were obtained.
Results
Of 1,719 pregnant women, 34% reported snoring, with 25% reporting pregnancy-onset snoring. After adjusting for confounders pregnancy-onset, but not chronic snoring, was independently associated with gestational hypertension (odds ratio 2.36, 95%CI 1.48–3.77, p<0.001) and pre-eclampsia (odds ratio 1.59, 95%CI 1.06–2.37 p=0.024) but not gestational diabetes.
Conclusion
New-onset snoring during pregnancy is a strong risk factor for gestational hypertension and pre-eclampsia. In view of the significant morbidity and healthcare costs associated with hypertensive diseases of pregnancy, simple screening of pregnant women may have clinical utility.
Trial registration: Clinical Trials NCT01030003
Keywords: pregnancy, snoring, gestational hypertension, pre-eclampsia, gestational diabetes
Sleep-disordered breathing, a spectrum of respiratory abnormalities during sleep ranging from habitual snoring to obstructive sleep apnea, is common yet often undiagnosed, especially in women.1 Increased weight promotes SDB and, strikingly, a weight gain of only 10% has been associated with a 6-fold increase in the development of significant SDB.2 This observation is particularly relevant to pregnancy as weight gain >10% occurs in most women. Habitual snoring, the hallmark symptom of SDB, increases during pregnancy35 and is particularly common in pre-eclampsia.6
The cardiovascular implications of untreated SDB are substantial and complex. Several large, population-based studies such as the Sleep Heart Health Study and the Wisconsin Sleep Cohort Study have provided clear evidence for an independent association between SDB and cardiovascular disease, particularly hypertension and metabolic dysfunction.711 The Nurses Health Study found that snoring increased the risk of incident hypertension independent of age or body mass index (BMI).12 The mechanisms linking SDB and cardiovascular disease are likely multifactorial, involving sympathetic over-activity, inflammation, and endothelial dysfunction.
Hypertensive disorders of pregnancy are a leading cause of maternal and infant morbidity13 and cost billions of dollars annually to treat. An emerging literature of cross-sectional studies support an association between sleep-disordered breathing and hypertension during pregnancy.5, 1417 The association between SDB and hypertension is particularly relevant during pregnancy as such morbidities jeopardize the health of mother and fetus, with major public health impact. Furthermore, new onset SDB during pregnancy conceivably could have health ramifications that exceed those of chronic SDB, to which cardiovascular systems might have time to adapt. An improved understanding of some vulnerabilities unique to pregnancy may offer opportunities to improve the health of both mothers and infants.
The goals of this study were to determine the prevalence and incidence of snoring during pregnancy and to examine associations with maternal health. We hypothesized that snoring, and especially pregnancy-onset rather than chronic snoring, would be associated with gestational hypertension, pre-eclampsia, and gestational diabetes.
In this prospective study pregnant women were recruited from prenatal clinics within the University of Michigan between March 2007 and December 2010. Women were eligible if they were ≥18 years old and ≥28 weeks pregnant with a single fetus. There were no other exclusion criteria. Written informed consent was obtained to access medical records. A comparison group of non-pregnant control women was recruited from women aged 18–45 years attending routine gynecology visits. This study was approved by the University of Michigan Institutional Review Board.
Pregnant women completed a questionnaire about the presence of habitual snoring and whether they had “stopped breathing or gasped for air” (Appendix 1). They were also asked whether a bed-partner had complained. Habitual snoring was defined as snoring at least 3–4 times per week.18, 19 Similarly witnessed apneas were considered present if women “stopped breathing or gasped for air” at least 3–4 times per week. Enquiry was made about the timing of snoring to identify incident cases. Pregnancy-onset snoring was considered present when habitual snoring began during pregnancy. Chronic snoring was defined as habitual snoring both before and during pregnancy. A single question item about snoring was chosen instead of a multi-item SDB questionnaire for several reasons: a single question is strongly and reliably associated with the overnight polysomnogram (PSG)-derived apnea/hypopnea index (AHI, number of apneic events per hour of sleep);8, 20 in women a report of “often” or “usually (always or almost always)” snoring is associated with PSG-confirmed SDB with respective odds ratios of 3.8 and 16.3;20 its use provides an approach easily and immediately translated into clinical settings; no study has failed to associate snoring with objective measures of SDB from a PSG; validation of complex SDB screening tools in pregnancy has not been performed; most SDB scales emphasize weight, which in pregnancy will be necessarily high; and several scales rely on gender or hypertensive status, the major outcome in the current study. Non-pregnant women completed the same screening tools, with the exception of symptoms in relation to pregnancy. Pregnant women received a $10 gift card for participating.
Pre-pregnancy BMI was calculated from maternal self-report of height and weight just prior to conception and cross-checked with documented BMI from the initial obstetric visit in the first trimester. Serial weights throughout the pregnancy were obtained from clinical visits and, following delivery, the total amount of weight gain was calculated. Key variables abstracted from medical records included demographics, previous or family history of gestational hypertension or pre-eclampsia, smoking status, and the presence of a diagnosis of chronic hypertension, gestational hypertension, pre-eclampsia, or gestational diabetes. The latter diagnoses were obtained from medical coding using the International Classification of Diseases, 9th edition (ICD-9).21 In reporting this study, guidelines from Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) group22 were followed.
Statistics
Sample size was calculated based on literature available at the time of study design. We predicted the frequency of snoring as 4% in non-pregnant women and 25% in pregnant women.5, 6, 23 With a sample size ≥1,400 pregnant women and 200 controls there would be a power of almost 100% to detect this difference with a 2-tailed significance level of 5%. If the frequency of snoring in non-pregnant women was 16% and that in pregnant women remained at 25%, the targeted sample sizes would provide 82% power to detect a difference. We anticipated that approximately 4% of women without snoring would develop hypertension compared to 10% of women with snoring.5 Thus a test for equal frequency of hypertension based on this study (test for equality of binomial proportions) would have power of over 95%. We planned to recruit unequal group sizes because the non-pregnant controls would serve only as a comparison for frequency of snoring.
As BMI is strongly associated with SDB, and BMI changes across pregnancy, pre-pregnancy or early first trimester BMI was categorized according to Institute of Medicine (IOM) recommendations.24 Subjects were classified as underweight (BMI<18.5kg/m2); normal weight (BMI 18.5–24.9kg/m2); overweight (BMI 25.0–29.9kg/m2); or obese (BMI ≥30.0kg/m2). Absolute weight gain was determined and subjects were classified according to whether they exceeded the IOM recommendations for gestational weight gain; 28–40lbs for underweight women, 25–35lbs for normal weight women, 15–25lbs for overweight women, and 11–20lbs for obese women.
All data obtained were double-entered into a database to ensure accuracy and analyzed with SPSS (version 18.0, Chicago, IL). Histograms, box-plots, and descriptive methods were used to examine data for errors and outliers. Between-group comparisons of continuous variables (maternal age, BMI, and gestational age) were conducted with t-tests (snoring vs. no snoring) and ANOVA (chronic snoring, pregnancy-onset snoring, and no snoring). Dichotomized variables were compared with Chi-Squared tests. Logistic regression was used to determine associations between snoring and maternal outcomes after adjusting for potential covariates (maternal age, race, pre-pregnancy BMI, weight gain in excess of IOM recommendations, gravidity, smoking, educational level, previous or family history of gestational hypertension/pre-eclampsia). Odds ratios (OR) and 95% Confidence Intervals (CI) were calculated. A p-value <0.05 was considered statistically significant. Population attributable risk percent (PAR%) was calculated; this represents the proportion of disease (hypertension/pre-eclampsia) among the total population that would not have occurred in the absence of exposure (snoring), assuming that the exposure contributes in a causal manner to the disease. The following formula was used:
equation M1
In total, 2,038 pregnant women were invited to participate; 1,719 (84%) agreed to complete the surveys, 98% of whom consented to medical record access. There were no differences in maternal age, gestational age, parity, or BMI between women who did or did not participate or who did/did not consent to medical record access (data not shown). Five women were subsequently excluded because they were <28 weeks’ gestation and two women were excluded because they were <18 years. In addition, 9 women moved out of the area before delivery. Thus, the total sample was 1,712 for prevalence data and 1,673 for pregnancy outcomes (Figure 1). In total, 202 non-pregnant women were enrolled. Overall, 94% of women had bed partners; only 2% of partners complained about snoring when women classified themselves as non-snorers. This did not alter the association with outcomes and thus the analyses were performed with maternal self-report only.
Figure 1
Figure 1
Recruitment flow chart
Table 1 shows population demographics. Pregnant women were more than twice as likely as controls to snore: 34.1% vs. 14·9%, p<0.0001.
Table 1
Table 1
Demographics of Participants
Overall, 34.1% of third-trimester women reported snoring; 66% were non-snorers at both pre-pregnancy and in the 3rd trimester, 25% started snoring during pregnancy, and 9% reported chronic snoring (Table 2). Snorers in general, as well as those with pregnancy-onset snoring specifically, were more likely to have chronic hypertension, gestational hypertension, and pre-eclampsia, than non-snorers. In contrast, although snorers were more likely to have gestational diabetes compared to non-snorers, further analysis revealed that it was the chronic, not pregnancy-onset, snorers who appeared to drive this relationship.
Table 2
Table 2
Comparison between pregnant women with and without snoring
In unadjusted analyses, pregnancy-onset, but not chronic, snoring was independently associated with gestational hypertension; OR 2.57, 95%CI 1.69–3.53, p<0.001, and pre-eclampsia; OR 1.71, 95%CI 1.20–2.44, p=0.003. There was no relationship with pregnancy-onset snoring and gestational diabetes; OR 1.29, 95%CI 0.96–1.74, p=0.09. However, chronic snoring was associated with gestational diabetes; OR 1.67, 95%CI 1.10–2.52, p=0.015.
A logistic regression model that controlled for potential covariates (maternal age, race, pre-pregnancy BMI, weight gain in excess of IOM recommendations, gravidity, smoking, education level, previous or family history of gestational hypertension or pre-eclampsia) showed that pregnancy-onset, but not chronic, snoring was independently associated with gestational hypertension, OR 2.36, 95%CI 1.48–3.77, p<0.001. In this model exceeding the IOM weight gain guidelines, but not pre-pregnancy BMI, was also independently associated with gestational hypertension; OR 2.68, 95%CI 1.72–4.18, p<0.001. Table 3a.
Table 3a
Table 3a
Regression of gestational hypertension against snoring and other covariates
Similarly, in a logistic regression model controlling for the same covariates and including chronic hypertension and gestational diabetes, pregnancy-onset – but not chronic - snoring was independently associated with pre-eclampsia; OR 1.59, 95%CI 1.06–2.37; p=0.024; Table 3b. No interactions were found between snoring and pre-pregnancy BMI for gestational hypertension or pre-eclampsia. Similarly, no interactions were found between snoring and weight gain in excess of IOM recommendations.
Table 3b
Table 3b
Regression of pre-eclampsia against snoring and other covariates
Blood glucose levels at the 24–26 week gestation 1-hour oral glucose tolerance test using a 50gram load were higher in snorers compared to non-snorers;124.0mg/dl vs. 117.2mg/dl, p<0.001, as was the proportion of women with abnormal glucose levels, defined as ≥140mg/dl; 30.2% vs. 22.1%, p=0.003. Glucose levels were not compared between women with and without pregnancy-onset snoring, as glucose was assessed in the second trimester. Neither pregnancy-onset nor chronic snoring was found to be associated with gestational diabetes in a multivariate model; however pre-pregnancy BMI and maternal age were associated (Table 3c).
Table 3c
Table 3c
Regression of gestational diabetes against snoring and other covariates
Figure 2 graphically depicts the OR of pre-pregnancy obesity (BMI ≥ 30) and/or snoring in separate models for gestational hypertension, pre-eclampsia, and gestational diabetes after adjusting for covariates that were shown in Table 3 to be associated with the outcome of interest. For illustrative purposes data are shown as snorers (pregnancy-onset and chronic snoring) vs. non-snorers. Four groups are represented: lean, non-snorer (BMI<25kg/m2, the reference group, n=689); lean snorer (n=195); obese, non-snorer, (n=189); and obese snorer (n=217). Compared to lean, non-snorers, both lean and obese snorers had significantly increased ORs for gestational hypertension: lean snorers OR 2.82, 95%CI 1.42–5.59, p=0.003, and obese snorers OR 2.39, 95%CI 1.22–4.71, p=0.012. Obese non-snorers were not at increased risk of gestational hypertension, OR 1.74, 95%CI 0.81–3.5, p=0.15. Figure 2A.
Figure 2
Figure 2
Figure 2
Figure 2
Adjusted odds ratio, and 95%CI of maternal morbidity by obesity and snoring status
Compared to lean non-snorers, only obese snorers had increased risk for pre-eclampsia; OR 1.58, 95%CI 1.01–2.78 p=0.05; Figure 2B. Conversely, only obese women, regardless of snoring status, had increased risk for gestational diabetes; OR 2.31, 95%CI 1.01–5.36, p=0.05 for obese non-snorers and OR 4.12, 95%CI 1.78–9.52, p=0.001 for obese snorers; Figure 2C.
If snoring plays a causative role in hypertension, then the PAR% suggests that 15.0% of gestational hypertension and 14.4% of pre-eclampsia in this population could be ameliorated by elimination of snoring. Similarly, 18.7% of gestational hypertension and 11.6% of pre-eclampsia could be ameliorated by elimination of pregnancy-onset snoring.
A total of 1.2% of women reported witnessed apneas. Snorers (chronic or pregnancy-onset) were more likely than non-snorers to endorse this; 3.0% vs. 0.4% respectively; p<0.001. Women with gestational hypertension, pre-eclampsia, or gestational diabetes were no more likely to report apnea than women without these conditions. However, the total number of women who reported apnea was small, precluding use of regression models.
Comment
This is the first large, prospective study to demonstrate that pregnancy-onset snoring confers significant risk to maternal cardiovascular health. These novel findings strongly implicate a role not only for snoring in general but, more specifically, for pregnancy-onset snoring in both gestational hypertension and pre-eclampsia. Furthermore, the PAR% suggests that if snoring plays a causal role in maternal hypertension, approximately 12–19% of hypertensive disorders during pregnancy might be ameliorated through treatment of snoring and any associated SDB. In contrast, the data did not suggest any independent role for snoring in gestational diabetes.
Notably, weight gain in excess of IOM recommendations, but not pre-pregnancy BMI, was found to play an independent role in gestational hypertension. Both pre-pregnancy BMI and excessive weight gain were independent predictors of pre-eclampsia. Although excessive weight gain is a known risk factor for post-partum weight retention,25 this is the first study to show its independent relationship to cardiovascular outcomes. This novel finding could have important implications for clinical care.
Our findings support and extend earlier observations that the frequency of snoring increases throughout pregnancy, peaks in the third trimester,4 and is a risk for hypertension.14, 15, 23, 26, 27 However, none of the previous studies investigated the impact of incident habitual snoring on maternal outcomes. Previous studies suggest that 14–23% of pregnant women habitually snore, compared to 4% of non-pregnant women,5, 23 although more recent estimates suggest a considerably higher proportion6,15 particularly in pre-eclampsia.6 Potential explanations of the lower frequencies in earlier studies are that only women attending low risk clinics who had vaginal deliveries were included5 and obesity was relatively infrequent in some populations.5, 23
Intriguing preliminary data suggest that new snoring during pregnancy is associated with increased erythropoesis and consequently increased levels of nucleated red blood cells in the umbilical cord.28 Erythropoesis occurs during periods of hypoxia, and conditions such as uterine growth restriction and maternal hypertension are associated with elevated counts.29 These findings in combination with our own implicate pregnancy-onset snoring as a particular concern.
Contrary to recent reports15, 30, 31 we did not find that snoring is associated with gestational diabetes. This discrepancy may be explained in part by different methodologies including recruitment of postpartum women,15 few women with the variable of interest,30, 31 and the lack of information about pre-pregnancy BMI.15 Nonetheless, the role of sleep in glucose control during pregnancy merits further investigation.
Although the pathogenesis of pre-eclampsia is not completely understood, the biological pathways include endothelial dysfunction, oxidative stress, and inflammation, with obesity being a major risk factor. The pathogenic process likely originates in the placenta during early pregnancy with abnormal implantation and vasculature development, leading to oxidative stress and inflammation with subsequent release of anti-angiogenic factors and widespread endothelial dysfunction.32 Of note, the mechanisms of sleep disruption that affect cardiovascular morbidity in non-pregnant individuals are remarkably similar to the biological pathways for pre-eclampsia, with strong evidence for oxidative stress, inflammation, sympathetic nervous systemic activation, endothelial dysfunction, dyslipidemia, and obesity as major factors in the pathophysiology of cardiovascular morbidity in SDB.33 These shared mechanistic pathways have been reviewed recently.34
Considering these overlapping risk factors, the finding that pregnancy-onset, but not chronic, snoring was associated with gestational hypertension and pre-eclampsia may be surprising. Sleep disruption and the consequent inflammatory cascade in early pregnancy may interfere with normal placental implantation,35 although this may not completely explain our findings since the majority of women with pregnancy-onset snoring started in their second or third trimesters. The possibility remains, however, that pregnancy-onset snoring could exacerbate underlying inflammatory processes and enhance underlying cardiovascular dysfunction. Another possibility is that fluid shifts36 or inflammation promotes the appearance of SDB. However, preliminary data show that treatment of SDB during pregnancy may improve blood pressure,37, 38 suggesting that SDB is more likely to contribute to hypertensive disease, rather than result from it or from a third process that causes both hypertension and SDB.
Key strengths of the present study include the largest sample size to date, prospective design, high response rate, adjustment for other known risk factors for gestational hypertension/pre-eclampsia (particularly a previous and family history of these conditions), and a population pool representative of other major medical centers. The University of Michigan Health System is the largest of only two in Washtenaw County that provide maternity services. Therefore, selection bias of a tertiary referral center should be minimal.
Use of symptom-based screening not yet validated against PSG in pregnant women could be a limitation. However, the major goal was to validate the utility of snoring directly as a predictor of maternal outcomes. Self-report of snoring is strongly and reliably associated with the PSG-derived AHI8, 20 and our own data confirm this in pregnancy.39 The present large-sample focus on snoring is also a strength of the study design as queries about snoring can be readily adopted in clinical practice for little expense. However, elucidation of mechanisms that underlie any association between SDB and pregnancy outcomes require investigation in PSG-studies that allow assessment of whether respiratory effort, airflow limitation, sleep fragmentation, or gas exchange abnormalities best predict adverse outcomes and treatment response.
It is possible that some recall bias occurred with regards to snoring duration. Although information was obtained prospectively, women may have been less aware of their pre-pregnancy snoring. A further limitation is the temporal relationship between snoring onset and time of a diagnosis of gestational hypertension, pre-eclampsia, or gestational diabetes. This study cannot prove the direction of this relationship but clearly suggests an independent association.
In conclusion, pregnancy-onset rather than chronic snoring is independently associated with gestational hypertension and pre-eclampsia but not gestational diabetes. Rather than a multi-item composite SDB screen, two simple questions about snoring and the timing of its appearance could be an effective strategy in busy clinical settings to assist in identification of pregnant women at high risk for hypertensive disorders. These findings reinforce the need for a randomized controlled trial to investigate the impact of treatment interventions on maternal hypertension.
Acknowledgments
Financial Support:
This project was supported by the Gene and Tubie Gilmore Fund for Sleep Research, the University of Michigan Institute for Clinical and Health Research (MICHR) grant UL1RR024986, MICHR seed pilot grant F021024, and the National Heart, Lung, and Blood Institute (R21 HL089918). Dr. O’Brien was also supported by a career grant from the National Heart, Lung, and Blood Institute (K23 HL095739) and in part by R21 HL087819.
We wish to thank the pregnant women who participated in this study, the medical, nursing, and clinic staff who supported this study, and we are indebted to research assistants Fatema Arastu, BA, Sierra Casper, BA, Meghan Hewlett, BA, Meredith Hall, PA-C, MD, and to Lori A. Kempf, BA, CCRP, research coordinator, for dedicated assistance with subject recruitment.
Footnotes
Potential Conflicts of Interest:
Dr. O’Brien has received equipment support from Philips Respironics Inc. and has served on an advisory board for GlaxoSmithKline. Dr. Chervin receives educational grants from Philips Respironics Inc., Fisher Paykel Inc., is named in patents owned by the University of Michigan for signal analysis diagnostic algorithms and hardware relevant to the assessment and treatment of sleep disorders, and serves on the Board of Directors of the American Academy of Sleep Medicine. None of the other authors have conflicts to disclose.
Presented in preliminary form at the 23rd Annual Meeting of the Associated Professional Sleep Societies, Seattle, WA, June 6–11, 2009
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