a Department of Psychology, West Virginia University, Morgantown, West Virginia
b Department of Pediatrics, Kosair Children's Hospital Research Institute, University of Louisville, Louisville, Kentucky
| ABSTRACT |
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METHODS. Thirty-five healthy community infants (8.2 ± 0.4 months) were administered the Bayley Scales of Infant Development, including the Mental Development Index (MDI), after standard, overnight research polysomnography.
RESULTS. The apnea-hypopnea index for all infants was 0. Respiratory arousal index was significantly correlated with MDI. Snoring-associated arousals accounted exclusively for this relationship; spontaneous arousals and those that were associated with central apnea and oxyhemoglobin desaturation episodes (
4%) were not significantly correlated with MDI. Living in a smoking household was not significantly associated with the presence of objectively recorded snoring but was associated with an increase in arousal frequency in snoring infants.
CONCLUSIONS. Infants with lower scores on a standardized mental development assessment had higher snoring-arousal indices. Because neither apnea nor hypopnea was present, these findings constitute additional evidence that snoring is not just an innocent noise during sleep in infants but may in fact represent the lower end of the disease spectrum associated with sleep-disordered breathing. Secondhand exposure to cigarette smoke may increase the deleterious effects of infant snoring.
Key Words: infant sleep snoring arousal respiration development secondhand smoke
Abbreviations: SDBsleep-disordered breathing OSAobstructive sleep apnea AHIapnea-hypopnea index TSTtotal sleep time SpO2arterial oxygen saturation BSID-IIBayley Scales of Infant Development, Version II MDIMental Development Index RespArIrespiratory arousal index
There is now substantial and compelling evidence indicating that sleep-disordered breathing (SDB) during early childhood is deleterious to cognition. Furthermore, SDB in early childhood leads to greater utilization of health care resources,1 more frequent dose-dependent cardiovascular morbidity2,3 and comorbid chronic illnesses,4,5 as well as greater psychiatric and behavioral comorbidities.610 Impairments associated with SDB have been shown on cognition and school performance.6,9,1116 The cumulative evidence points to at least partial reversibility of many of these effects in children1720 and in animal models,21,22 highlighting the importance of early detection of pediatric SDB. Indeed, failure to thrive associated with SDB, which has been reported in up to 52% of patient samples, has been shown to be reversible in infants who are younger than 18 months after treatment.23
Although report of snoring history is insufficient for diagnosis of SDB, it is known that snoring is reliably present in children with obstructive sleep apnea (OSA).24 The prevalence of SDB among school-aged children is estimated at 2% to 3%,25,26 and symptoms that are consistent with risk for SDB have been reported between 6% and 27%.4,12,15,26 An emerging body of work recently addressed the cognitive effects of mild SDB, or snoring exclusive of OSA, among school-aged children. Primary or habitual snoring may cause sufficient disruption of sleep architecture such that daytime functioning is affected in children.27 Children who are aged 8 to 11 years and have apnea-hypopnea indices (AHI) of
1 and <10 have impaired executive function.28 Compared with nonsnoring control subjects, 5- to 8-year-olds who snore but have an obstructive AHI of <1 per hour of total sleep time (TST) have impaired verbal and global IQ and selective and sustained attention and memory, with direct relationships between severity of impairment and mild oxyhemoglobin desaturations, obstructive hypopneas with desaturation, and respiratory arousals.29 Habitual snoring among children who are aged 5 to 7 and have an obstructive AHI of <1 per hour of TST have impaired performance on attention measures, as well as greater social problems and anxious/depressive symptoms.16
Prevalence rates of snoring similar to those of preschool- and early school-aged children have been reported among infants. Indeed, habitual snoring was found in 5% of 2- to 4-month-olds30 and in 6- to 12-month-olds,26 with higher rates in infants who are aged 1 to 8 months (1626%).31 More recently, we found habitual snoring in 1% to 9% of infants and toddlers (224 months of age).32 However, the influence of snoring on the developing infant is unknown. Accordingly, the primary goal of the present study was to test the association between snoring and cognitive development among 8-month-old infants.
Furthermore, exposure to secondhand smoke is a known risk factor for snoring and SDB among school-aged children,33 and significant differences have been shown in the histopathologic and ultrastructural evaluation of adenoid tissue from children who were exposed to passive smoking, indicating that this exposure is a primary contributor to repeated upper respiratory tract infection.34 Passive smoking also was identified previously as a risk factor for snoring among infants.31,35 Thus, a secondary study goal was to determine whether presence of smoking in the household had a contributing effect on snoring and arousal indices.
| METHODS |
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Postage-paid reply cards were included in the postpartum discharge packets at 6 local hospitals. Screening surveys then were sent to the homes of respondents when their infants reached 6 months and were returned to the research office via postage-paid mail. Qualifying families were invited to participate further when the infant reached 8 months.
Survey Instrument
The instrument assessed parent and child demographics, and a health history section included whether each parent snores or smokes (yes/no responses). Child sleep behaviors were assessed, including, "How often does your child snore?" with response options including "never" (never in the past 6 months), "rarely" (once a week), "occasionally" (2 times a week), "frequently" (34 times a week), and "almost always" (>4 times a week). These items were taken from a thoroughly validated and previously described instrument.36
Polysomnography and Scoring
Overnight polysomnography recordings were performed within the research unit of the Kosair Children's Hospital Sleep Medicine and Apnea Center using commercially available computerized multichannel data acquisition equipment (Medcare Systems, Inc, Amsterdam, Netherlands) that included 4 channels of electroencephalography (O1/O2, C3/C4), chin electromyography, bilateral electrooculogram, snore sound sensor, electrocardiogram, chest and abdominal inductance plethysmography; pulse oximetry was used to measure arterial oxygen saturation (SpO2) and pulse wave form and thermistor-derived oronasal airflow. Simultaneous video monitoring was digitally recorded.
Stage scoring was performed using standard criteria for infants.37 Time spent in active sleep, quiet sleep, and indeterminate sleep was calculated and expressed as a percentage of the TST. Respiratory events that lasted at least 2 breath-lengths were scored: central apneas were scored on the basis of cessation of oronasal flow and chest wall and abdominal movement; obstructive apnea was scored in the absence of oronasal airflow with continued chest wall and abdominal movement38,39; decreases in oronasal flow
50% with continued effort were scored as hypopneas. Minimal duration of 2 breath-lengths and an associated
4% SpO2 desaturation and/or arousal were required for obstructive apnea and hypopnea scoring. Snoring was scored in the presence of a change in basal snore sensor levels that was verified by the polysomnographic technologist via both in-room checks and microphone transmission. Cardiorespiratory variables were scored as indices on the basis of the number of events per hour of TST. Average SpO2 and nocturnal nadir were calculated from valid SpO2 during TST with values during movement artifact being excluded.
Because criteria for arousals have not yet been established for infants and children, arousals were scored manually as defined by the American Sleep Disorders Association Task Force report; briefly, an abrupt change in electroencephalography that lasted 3 to 14 seconds with a concurrent change in electromyography in rapid eye movement sleep40 was scored as spontaneous or respiratory related (occurring immediately subsequent to an apnea, hypopnea, desaturation, or snore). Arousals and respiratory events were scored as indices on the basis of occurrence per hour of TST. Scoring of respiratory events and desaturations was initially automated, all events and signals then were individually scorer validated. Polysomnography records were scored by a single blinded analyst; Cronbach's
and significance for intraclass correlations for interscorer reliability on previous work in the laboratory were .975 (P < .001) for sleep stage percentages, .821 (P < .05) for arousal subtypes, .957 (P < .01) for periodic leg movements subtypes, and .975 (P < .001) for apnea subtypes and hypopneas. For overall combined polysomnography measures,
= .996 (P < .001).41
Developmental Assessment
The Bayley Scales of Infant Development II (BSID-II) were performed the morning after polysomnography by a blinded administrator; parents were asked not to discuss the polysomnography with the administrator. The BSID was originally standardized in the United States under the auspices of the National Institutes of Health on children from 1 to 42 months of age42 and renormed in 1993.43 The BSID is made up of the Mental Development Index (MDI) and the Motor Scale. When administered within the first year, the MDI is an assessment of sensory-perceptual acuity, discriminations, and response abilities and tests acquisition of object constancy as well as memory, learning, and problem-solving abilities. Vocalizations and the beginnings of verbal communication are measured as early evidence of the ability to form generalizations and classifications, which are a basis of abstract thinking.
Results are expressed as a standard score ranging from 50 to 150 and encompassing 3 SDs (15 points) on either side of the mean (100 points). When administered at the same age, there is a correlation between the MDI and the Stanford-Binet IQ test.42 The BSID at 4, 8, 12, 18, and 24 months is correlated with Stanford-Binet Intelligence Scales at 30 and 36 months, with the perceptual items being more predictive at early months.44 The MDI at 2 years is correlated with the Stanford-Binet IQ at 3 and 5 years.45 No study was performed on a night when a child had an acute illness such as fever or nasal discharge.
Statistical Analyses
Descriptive statistics were calculated. Regression analyses were conducted for continuous variables.
2 was used to examine bimodal frequencies; Fisher exact probability test was used for tests with expected frequency value(s) <5. One-way analysis of variance was used for means comparisons. Cohen's d was calculated to determine effect sizes. Data were analyzed using SPSS 13.0 (SPSS Inc, Chicago, IL), and P < .05 was considered significant.
| RESULTS |
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4%) episodes, and snoring. Among these, snoring-related arousals accounted exclusively for the correlation between MDI and RespArI (r = .43; F = 7.3; P = .011). Spontaneous arousals and those that were associated with central apneas and desaturations were not significantly correlated with MDI. Variance among maternal education years was low; MDI and maternal education were not significantly correlated. Motor Scale scores on the BSID were not significantly associated with polysomnography measures.
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2 values were nonsignificant for a relationship between parental snoring and the presence of either infant snoring or respiratory-related arousals on polysomnography.
Thirty-three percent of infants were from a cigarette-smoking household (in which at least 1 parent smoked: both parents smoked in 17% of homes, only the father smoked in 9%, and only the mother smoked in 6%).
2 for parental smoking and presence of infant snoring on polysomnography approached significance; snoring was observed in 41% of infants from a nonsmoking household and in 73% of those from a smoking household (
2 = 3.0; P = .08).
Infants from a smoking household were significantly more likely to have respiratory-related arousals during polysomnography recordings. RespArI >0 was present among 50% of infants from nonsmoking households and among 100% of infants from smoking households (Fisher's P = .005). Maternal-only and paternal-only smoking were also both significantly related to RespArI >0 (Fisher's P = .03, each). MDI did not differ significantly between infants from smoking and nonsmoking households (F = 2.0; P = .16). There were no significant correlations or differences as a function of TST or sleep efficiency on RespArI or MDI.
| DISCUSSION |
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In the present study, we did not find conclusive evidence suggesting that living in a cigarette-smoking household increased the risk for snoring per se. However, Mitchell and Thompson31 found that among nearly 2000 infants from 1 to 8 months of age, parental report of snoring was increased with concurrent reporting of maternal cigarette smoking, along with the presence of male gender, prone or supine sleeping, respiratory infections, and the presence of snoring during the first month after birth. These findings suggest that multiple modifiers may contribute to the occurrence of snoring in the first year of life.
More important, we still do not know much about the natural history of snoring and snore-induced arousals in infancy. Zucconi et al46 found that among 18- to 24-month-olds who were evaluated for nightly snoring and referred for surgical treatment, the parents of >50% reported that the habitual snoring had developed during the child's first year of life, and 16% reported an onset in the first month of life. Furthermore, habitual snoring may persist over a 1-year period in 49% of primary school children. It is interesting that household cigarette smoking was identified as a risk factor for both initial onset of snoring and its continued presence over time.35 Thus, we speculate that exposure to secondhand cigarette smoke not only may account for more snore-related arousals but may also contribute to the development of SDB among very young snorers.
Some of the study limitations merit discussion. First, the survey response rate is unknown because of the implementation of a prohibition on tracking the number of nonparticipants subsequent to Health Insurance Portability and Accountability Act legislation. Response cards were distributed to postpartum patients through local hospitals at the discretion of the nursing and clerical staff, so a response percentage cannot be calculated; among those who returned the response card and were sent a survey, the response rate was 57.1%. Thus, a self-selection bias clearly is possible, and our ability to generalize the results is limited. Second, the survey was not designed to gather extensive and comprehensive information about exposure to secondhand cigarette smoke. However, the previous studies reported above and current findings emphasize the need and the importance of future research into the mechanisms that influence snore-related arousals in infants and whether this effect is exposure dependent. Finally, 1 of the original goals of the study was to screen infants at the age of 8 months for objective evidence of SDB while minimizing intrusion into the natural sleep pattern and mother-infant interactions during the recording period. At the same time, home-based studies using currently available instrumentation for sleep recordings in infants are vulnerable to data losses, and preliminary trials using this approach confirmed such concerns. Thus, we used a sleep laboratorybased approach that enabled a high rate of data integrity with minimal intrusion to the infant and the parent. Although the percentage of wake time subsequent to sleep onset was higher than would be expected in a naturalistic setting, it should be emphasized that no relationships were found between RespArI or MDI and TST or sleep efficiency. Thus, we do not expect that administration of the BSID after polysomnography had on influence on MDI scores as a function of sleep loss.
This study and others clearly support the need for identification and evaluation of the youngest children with recognizable risk factors for SDB. This may pose a formidable challenge when we consider that the symptoms of SDB, such as snoring, are less frequently the presenting complaint in such children when compared with associated comorbidities, such as recurrent upper respiratory tract infections and delays in growth and development.47 In addition, the recently published American Academy of Pediatrics 2003 guidelines for diagnosis and management of SDB in childhood specifically exclude children who are younger than 1 year because these cases are considered too complex for the scope of the recommendations and require specialist consultation.48 Finally, awareness of SDB symptoms on the part of parents and physicians is very low.49,50 Indeed, using an exit-interview strategy after pediatrician consultation, Blunden and colleagues50 reported that among children with a significant history of snoring, only 8% of parents mentioned this symptom during the concurrent clinical evaluation, and only 15% had done so previously. The robustness of our findings on the relationship between sleep fragmentation (as evidenced by snore-associated arousals) and the variance in mental development among healthy infants highlights the need to overcome these diagnostic screening challenges. Furthermore, we are unaware of any study that has examined potential mechanisms underlying this correlation, and, as such, we do not know whether such decrements in developmental achievement will persist or completely reverse on implementation of measures that aim to treat snoring in these infants. The possibility exists that if such infants are left untreated, then they may go on subsequently to develop SDB and its associated morbidities.
| CONCLUSIONS |
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| ACKNOWLEDGMENTS |
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We thank the parents who lost a night of sleep to participate in the study. Subject recruitment was conducted with the assistance of the postpartum nursing staff at Baptist Hospital East, Clark Memorial Hospital, Floyd Memorial Hospital, Norton Healthcare, Norton Suburban Hospital, and the University of Louisville Hospital. Jennifer Bruner, RPSGT, and Nigel Smith, PSGT, performed polysomnographic data collection and were assisted by Cheryl Holbrook, RPSGT, MAT.
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Address correspondence to Hawley Montgomery-Downs, PhD, Department of Psychology, West Virginia University, PO Box 6040, Morgantown, WV 26506-6040. E-mail: hawley.montgomery-downs{at}mail.wvu.edu
The authors have indicated they have no financial relationships relevant to this article to disclose.
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