A theoretical model of college students' sleep quality and health-related quality of life.

Poor sleep confers significant morbidities and is highly prevalent among college students in the United States. This research assessed sleep quality and its association with health-related quality of life (HRQOL). Further, because sleep quality research often lacks a theoretical foundation, we applied a theoretical model using selected constructs from the Theory of Planned Behavior (TPB) and Health Belief Model (HBM). A random, stratified sample of undergraduate students participated in an online survey (N = 494). Structural equation modeling assessed the association between theoretical constructs, sleep quality, and HRQOL. The final model fit was acceptable, with ~ 20% of the variance in sleep quality explained by the theoretical constructs and control variables. HBM constructs were indirectly and negatively related to sleep quality, mediated through behavioral intention, and also positively and directly associated with behavioral intention. Behavioral intention was strongly and negatively associated with sleep quality. Approximately 31% of the variance in HRQOL was explained by poor sleep quality, behavioral intention, and gender. Poor sleep was most strongly associated with reduced HRQOL. HBM constructs and behavioral intention from TPB were significantly associated with poor sleep quality, and poor sleep was significantly related to poor HRQOL.

Sleep Validity of a Non-Contact Bedside Movement and Respiration-Sensing Device.

STUDY OBJECTIVES: To assess the sleep detection and staging validity of a non-contact, commercially available bedside bio-motion sensing device (S+, ResMed) and evaluate the impact of algorithm updates. METHODS: Polysomnography data from 27 healthy adult participants was compared epoch-by-epoch to synchronized data that were recorded and staged by actigraphy and S+. An update to the S+ algorithm (common in the rapidly evolving commercial sleep tracker industry) permitted comparison of the original (S+V1) and updated (S+V2) versions. RESULTS: Sleep detection accuracy by S+V1 (93.3%), S+V2 (93.8%), and actigraphy (96.0%) was high; wake detection accuracy by each (69.6%, 73.1%, and 47.9%, respectively) was low. Higher overall S+ specificity, compared to actigraphy, was driven by higher accuracy in detecting wake before sleep onset (WBSO), which differed between S+V2 (90.4%) and actigraphy (46.5%). Stage detection accuracy by the S+ did not exceed 67.6% (for stage N2 sleep, by S+V2) for any stage. Performance is compared to previously established variance in polysomnography scored by humans: a performance standard which commercial devices should ideally strive to reach. CONCLUSIONS: Similar limitations in detecting wake after sleep onset (WASO) were found for the S+ as have been previously reported for actigraphy and other commercial sleep tracking devices. S+ WBSO detection was higher than actigraphy, and S+V2 algorithm further improved WASO accuracy. Researchers and clinicians should remain aware of the potential for algorithm updates to impact validity. COMMENTARY: A commentary on this article appears in this issue on page 935.

Sleep: A Pathway Linking Personality to Mortality Risk.

Personality and sleep predict longevity; however, no investigation has tested whether sleep mediates this association. Thus, we tested this effect across a 20-year follow-up (N = 3,759) in the Midlife Development in the United States cohort (baseline M age = 47.15) using proportional hazards in a structural equation modeling framework. Lower conscientiousness predicted increased death risk via the direct, indirect, and total effect of quadratic sleep duration. Although there were no other direct personality-mortality effects, higher neuroticism and agreeableness and lower conscientiousness predicted increased death risk via the joint indirect effects of quadratic sleep duration and higher daytime dysfunction. Lower extraversion predicted increased mortality risk via the indirect effect of daytime dysfunction. Our findings have implications for personality-based health interventions.

Beyond the Bayley: Neurocognitive Assessments of Development During Infancy and Toddlerhood.

The use of global, standardized instruments is conventional among clinicians and researchers interested in assessing neurocognitive development. Exclusively relying on these tests for evaluating effects may underestimate or miss specific effects on early cognition. The goal of this review is to identify alternative measures for possible inclusion in future clinical trials and interventions evaluating early neurocognitive development. The domains included for consideration are attention, memory, executive function, language, and socioemotional development. Although domain-based tests are limited, as psychometric properties have not yet been well-established, this review includes tasks and paradigms that have been reliably used across various developmental psychology laboratories.

Long-term effects of pregnancy and childbirth on sleep satisfaction and duration of first-time and experienced mothers and fathers.

STUDY OBJECTIVES: To examine the changes in mothers' and fathers' sleep satisfaction and sleep duration across prepregnancy, pregnancy, and the postpartum period of up to 6 years after birth; it also sought to determine potential protective and risk factors for sleep during that time. METHODS: Participants in a large population-representative panel study from Germany reported sleep satisfaction and sleep duration in yearly interviews. During the observation period (2008-2015), 2541 women and 2118 men reported the birth of their first, second, or third child and provided longitudinal data for analysis. Fixed-effects regression models were used to analyze changes in sleep associated with childbirth. RESULTS: Sleep satisfaction and duration sharply declined with childbirth and reached a nadir during the first 3 months postpartum, with women more strongly affected (sleep satisfaction reduction compared with prepregnancy: women, 1.81 points on a 0 to 10 scale, d = 0.79 vs. men, 0.37 points, d = 0.16; sleep duration reduction compared with prepregnancy: women, 62 min, d = 0.90 vs. men, 13 min, d = 0.19). In both women and men, sleep satisfaction and duration did not fully recover for up to 6 years after the birth of their first child. Breastfeeding was associated with a slight decrease in maternal sleep satisfaction (0.72 points, d = 0.32) and duration (14 min, d = 0.21). Parental age, household income, and dual vs. single parenting were unrelated, or only very weakly related, to improved sleep. CONCLUSIONS: Following the sharp decline in sleep satisfaction and duration in the first months postpartum, neither mothers' nor fathers' sleep fully recovers to prepregnancy levels up to 6 years after the birth of their first child.

Breastfeeding Duration Is Associated with Regional, but Not Global, Differences in White Matter Tracts.

Extended breastfeeding through infancy confers benefits on neurocognitive performance and intelligence tests, though few have examined the biological basis of these effects. To investigate correlations with breastfeeding, we examined the major white matter tracts in 4-8 year-old children using diffusion tensor imaging and volumetric measurements of the corpus callosum. We found a significant correlation between the duration of infant breastfeeding and fractional anisotropy scores in left-lateralized white matter tracts, including the left superior longitudinal fasciculus and left angular bundle, which is indicative of greater intrahemispheric connectivity. However, in contrast to expectations from earlier studies, no correlations were observed with corpus callosum size, and thus no correlations were observed when using such measures of global interhemispheric white matter connectivity development. These findings suggest a complex but significant positive association between breastfeeding duration and white matter connectivity, including in pathways known to be functionally relevant for reading and language development.

Association Between Nonmedical Use of Prescription Drugs and Sleep Quality in a Large College Student Sample.

Objective/Background: Poor sleep and nonmedical use (NMU) of prescription drugs (NMUPD) are both common among college students. Since lack of sleep adversely influences academic performance, this study examined the association between NMUPD and subjective sleep quality among college students. Participants: Students who completed the American College Health Association-National College Health Assessment data (Fall 2010, Spring 2011; N = 135,874). Methods: Associations were examined between NMUPD in four classes over the past 12 months (antidepressant, painkillers, sedatives, and stimulants), and five aspects of sleep quality (Enough Sleep, Early Awakening, Daytime Sleepiness, Difficulty Falling Asleep, and Problem With Daytime Sleepiness) in the past seven days. Results: Any NMUPD (at least one class), NMU of stimulants specifically, and NMU of painkillers specifically were associated with getting fewer days of Enough Sleep (OR: 0.86, 0.93, and 0.84 respectively), more days of Early Awakening (OR: 1.28, 1.10, and 1.28 respectively), Daytime Sleepiness (OR: 1.23, 1.13, and 1.16 respectively), and Difficulty Falling Asleep (OR:1.32, 1.10, and 1.27 respectively; p < .0001, each). NMU of sedatives was significantly associated with having Problem With Daytime Sleepiness (OR: 1.10), more days of Early Awakening (OR: 1.12), and Difficulty Falling Asleep (OR: 1.17; p < .0001). Conclusions: NMUPD is associated with poor sleep among college students. Therefore, behavioral medicine screening and treatment of this vulnerable population should consider sleep health, NMUPD, and the potential that these problems may be comorbid.

Youth Screen Media Habits and Sleep: Sleep-Friendly Screen Behavior Recommendations for Clinicians, Educators, and Parents.

With the widespread use of portable electronic devices and the normalization of screen media devices in the bedroom, insufficient sleep has become commonplace. In a recent literature review, 90% of included studies found an association between screen media use and delayed bedtime and/or decreased total sleep time. This pervasive phenomenon of pediatric sleep loss has widespread implications. There is a need for basic, translational, and clinical research examining the effects of screen media on sleep loss and health consequences in children and adolescents to educate and motivate clinicians, teachers, parents and youth themselves to foster healthy sleep habits.

Digital Media and Sleep in Childhood and Adolescence.

Given the pervasive use of screen-based media and the high prevalence of insufficient sleep among American youth and teenagers, this brief report summarizes the literature on electronic media and sleep and provides research recommendations. Recent systematic reviews of the literature reveal that the vast majority of studies find an adverse association between screen-based media consumption and sleep health, primarily via delayed bedtimes and reduced total sleep duration. The underlying mechanisms of these associations likely include the following: (1) time displacement (ie, time spent on screens replaces time spent sleeping and other activities); (2) psychological stimulation based on media content; and (3) the effects of light emitted from devices on circadian timing, sleep physiology, and alertness. Much of our current understanding of these processes, however, is limited by cross-sectional, observational, and self-reported data. Further experimental and observational research is needed to elucidate how the digital revolution is altering sleep and circadian rhythms across development (infancy to adulthood) as pathways to poor health, learning, and safety outcomes (eg, obesity, depression, risk-taking).

Effects of a single night of postpartum sleep on childless women's daytime functioning.

STUDY OBJECTIVES: The maternal postpartum period is characterized by sleep fragmentation, which is associated with daytime impairment, mental health disturbances, and changes in melatonin patterns. In addition to sleep fragmentation, women undergo a complex set of physiological and environmental changes upon entering the postpartum period, confounding our understanding of effects of postpartum sleep disturbance. The primary study aim was to understand the basic impact of a single night of postpartum-like sleep fragmentation on sleep architecture, nocturnal melatonin levels, mood, daytime sleepiness, and neurobehavioral performance. MEASUREMENTS AND RESULTS: For one week prior to entry into the laboratory, eleven healthy nulliparous women kept a stable sleep-wake schedule (verified via actigraphy). Participants contributed three consecutive nights of laboratory overnight polysomnography: (1) a habituation/sleep disorder screening night; (2) a baseline night; and (3) a sleep fragmentation night, when participants were awakened three times for ~30min each. Self-reported sleep quality and mood (Profile of Mood States survey) both decreased significantly after sleep fragmentation compared to baseline measurements. Unexpectedly, daytime sleepiness (Multiple Sleep Latency Test) decreased significantly after sleep fragmentation. Experimental fragmentation had no significant effect on time spent in nocturnal sleep stages, urinary 6-sulfatoxymelatonin concentration, or psychomotor vigilance test performance. Participants continued to provide actigraphy data, and daily PVTs and self-reported sleep quality assessments at home for one week following sleep fragmentation; these assessments did not differ from baseline values. CONCLUSIONS: While there were no changes in measured physiological components of a single night of postpartum-like experimental sleep fragmentation, there were decreases in self-reported measures of mood and sleep quality. Future research should examine the effects of multiple nights of modeling postpartum-like sleep fragmentation on objective measures of sleep and daytime functioning.

Comparison of a Commercial Accelerometer with Polysomnography and Actigraphy in Children and Adolescents.

STUDY OBJECTIVES: To evaluate the reliability and validity of the commercially available Fitbit Ultra (2012) accelerometer compared to polysomnography (PSG) and two different actigraphs in a pediatric sample. DESIGN AND SETTING: All subjects wore the Fitbit Ultra while undergoing overnight clinical polysomnography in a sleep laboratory; a randomly selected subset of participants also wore either the Ambulatory Monitoring Inc. Motionlogger Sleep Watch (AMI) or Phillips-Respironics Mini-Mitter Spectrum (PRMM). PARTICIPANTS: 63 youth (32 females, 31 males), ages 3-17 years (mean 9.7 years, SD 4.6 years). MEASUREMENTS: Both "Normal" and "Sensitive" sleep-recording Fitbit Ultra modes were examined. Outcome variables included total sleep time (TST), wake after sleep onset (WASO), and sleep efficiency (SE). Primary analyses examined the differences between Fitbit Ultra and PSG using repeated-measures ANCOVA, with epoch-by-epoch comparisons between Fitbit Ultra and PSG used to determine sensitivity, specificity, and accuracy. Intra-device reliability, differences between Fitbit Ultra and actigraphy, and differences by both developmental age group and sleep disordered breathing (SDB) status were also examined. RESULTS: Compared to PSG, the Normal Fitbit Ultra mode demonstrated good sensitivity (0.86) and accuracy (0.84), but poor specificity (0.52); conversely, the Sensitive Fitbit Ultra mode demonstrated adequate specificity (0.79), but inadequate sensitivity (0.70) and accuracy (0.71). Compared to PSG, the Fitbit Ultra significantly overestimated TST (41 min) and SE (8%) in Normal mode, and underestimated TST (105 min) and SE (21%) in Sensitive mode. Similar differences were found between Fitbit Ultra (both modes) and both brands of actigraphs. CONCLUSIONS: Despite its low cost and ease of use for consumers, neither sleep-recording mode of the Fitbit Ultra accelerometer provided clinically comparable results to PSG. Further, pediatric sleep researchers and clinicians should be cautious about substituting these devices for validated actigraphs, with a significant risk of either overestimating or underestimating outcome data including total sleep time and sleep efficiency.

What are postpartum women doing while the rest of the world is asleep?

Large individual differences characterize maternal postpartum sleep and adjustment. Our goal was to explore aspects of mothers' nocturnal environments and behaviours that may explain differences in postpartum adjustment. A total of 201 mothers of infants aged 0-6 months completed an online survey with demographics, number and duration of nocturnal awakenings, caretaking behaviours, environment and nocturnal activities during 'one typical night during the past week'. Mothers reported 2.9 [standard deviation (SD) ± 1.7] nocturnal awakenings, each lasting 33.9 (SD ± 22.5) min. Infant age was related inversely to duration but unrelated to number of awakenings. Falling asleep while feeding was less frequent among exclusively formula-feeders. Among the entire sample, mothers used a cellphone (59%), backlit tablet (25%), TV (20%) and computer (16%) during nocturnal awakenings. Watching TV and using a computer were each associated with longer nocturnal awakenings. Eighty-nine per cent of women used ≥1 extra light source during nocturnal awakenings: night light (35%), light from a cracked door (28%), desk lamp (25%), electronic device (19%) or room light (14%). Light source(s) was unrelated to number or duration of nocturnal awakenings. These data suggest that, although supplemental light sources were not associated with awakenings, TV and computer use accounted for longer awakenings. Feeding method and technology use may help to explain individual differences in postpartum adjustments and may be targets for more effective interventions.

Diurnal fatigue patterns, sleep timing, and mental health outcomes among healthy postpartum women.

Postpartum women have frequently interrupted sleep, report high levels of fatigue, and may experience circadian rhythm disruptions. They are also susceptible to mood impairments, anxiety, and stress. The current study explored associations between maternal postpartum daily fatigue patterns, which should vary according to circadian influences and mental health. Seventy-one primiparous, healthy mothers completed multiple daily self-reports of fatigue during postpartum Weeks 2 and 12 and were categorized at each week as having either a rhythmic or random fatigue pattern during the daytime. Wrist actigraphy data were used to calculate sleep midpoints. Surveys assessed chronotype, mood, anxiety, and stress. At postpartum Week 2, there were no differences in mental health measures between fatigue groups. At postpartum Week 12, higher overall fatigue levels were associated with increased anxiety, stress, and mood disruption. However, overall fatigue levels did not differ between fatigue groups. Women with a rhythmic fatigue pattern reported significantly less stress and more vigor than women with a random fatigue pattern. An earlier sleep midpoint was associated with a rhythmic fatigue pattern during postpartum Week 12. These data suggest that, despite similar average daily fatigue levels, having a rhythmic daily pattern of fatigue may be advantageous for mental health outcomes among postpartum women.

Relationship between delta power and the electrocardiogram-derived cardiopulmonary spectrogram: possible implications for assessing the effectiveness of sleep.

OBJECTIVES: The physiologic relationship between slow-wave activity (SWA) (0-4 Hz) on the electroencephalogram (EEG) and high-frequency (0.1-0.4 Hz) cardiopulmonary coupling (CPC) derived from electrocardiogram (ECG) sleep spectrograms is not known. Because high-frequency CPC appears to be a biomarker of stable sleep, we tested the hypothesis that that slow-wave EEG power would show a relatively fixed-time relationship to periods of high-frequency CPC. Furthermore, we speculated that this correlation would be independent of conventional nonrapid eye movement (NREM) sleep stages. METHODS: We analyzed selected datasets from an archived polysomnography (PSG) database, the Sleep Heart Health Study I (SHHS-I). We employed the cross-correlation technique to measure the degree of which 2 signals are correlated as a function of a time lag between them. Correlation analyses between high-frequency CPC and delta power (computed both as absolute and normalized values) from 3150 subjects with an apnea-hypopnea index (AHI) of ≤5 events per hour of sleep were performed. RESULTS: The overall correlation (r) between delta power and high-frequency coupling (HFC) power was 0.40±0.18 (P=.001). Normalized delta power provided improved correlation relative to absolute delta power. Correlations were somewhat reduced in the second half relative to the first half of the night (r=0.45±0.20 vs r=0.34±0.23). Correlations were only affected by age in the eighth decade. There were no sex differences and only small racial or ethnic differences were noted. CONCLUSIONS: These results support a tight temporal relationship between slow wave power, both within and outside conventional slow wave sleep periods, and high frequency cardiopulmonary coupling, an ECG-derived biomarker of "stable" sleep. These findings raise mechanistic questions regarding the cross-system integration of neural and cardiopulmonary control during sleep.

A mixed-method examination of maternal and paternal nocturnal caregiving.

OBJECTIVES: The study objectives were to describe and compare causes of, and activities during, postpartum parents' nocturnal awakenings. METHODS: Twenty-one primiparous postpartum couples were studied for 1 week with qualitative and quantitative methods. RESULTS: Mothers reported more awakenings per night (3.3 ± 1.1) and more wake time after going to sleep (116.0 ± 60.0 minutes) compared to fathers (2.4 ± 0.5 and 42.7 ± 39.4 minutes, respectively). "Actions taken" during maternal nocturnal awakenings were primarily for infant feeding (49.0%), general infant care (18.5%), and infant changing (12.0%). "Actions taken" during paternal nocturnal awakenings were primarily "passive awakenings" (35.9%), for self-care (18.4%), and for infant feeding (9.4%). CONCLUSIONS: Qualitative analyses revealed ways that new families can optimize the sleep of both parents while also providing optimal nocturnal infant care.

Respiratory and polysomnographic values in 3- to 5-year-old normal children at higher altitude.

STUDY OBJECTIVES: To determine polysomnographic parameter differences in children living at higher altitude to children living near sea level. DESIGN AND SETTING: Prospective study of non-snoring, normal children recruited from various communities around Denver, CO. In-lab, overnight polysomnograms were performed at a tertiary care children's hospital. All children required residence for greater than one year at an elevation around 1,600 meters. PARTICIPANTS: 45 children (62% female), aged 3-5 years, 88.9% non-Hispanic white with average BMI percentile for age of 47.8% ± 30.7%. MEASUREMENTS AND RESULTS: Standard sleep indices were obtained and compared to previously published normative values in a similar population living near sea level (SLG). In the altitude group (AG), the apnea-hypopnea index was 1.8 ± 1.2 and the central apnea-hypopnea index was 1.7 ± 1.1, as compared to 0.9 ± 0.8 and 0.8 ± 0.7, respectively, (P ≤ 0.005) in SLG. Mean end-tidal CO2 level in AG was 42.3 ± 3.0 mm Hg and 40.6 ± 4.6 mm Hg in SLG (P = 0.049). The ≥ 4% desaturation index was 3.9 ± 2.0 in AG compared to 0.3 ± 0.4 in SLG (P < 0.001). Mean periodic limb movement in series index was 10.1 ± 12.3 in AG and 3.6 ± 5.4 in SLG (P = 0.001). CONCLUSION: Comparison of altitude and sea level sleep studies in healthy children reveals significant differences in central apnea, apneahypopnea, desaturation, and periodic limb movement in series indices. Clinical providers should be aware of these differences when interpreting sleep studies and incorporate altitude-adjusted normative values in therapeutic-decision making algorithms.

Timing and variability of postpartum sleep in relation to daytime performance.

Postpartum women have highly disturbed sleep, also known as sleep fragmentation. Fragmentation extends their total sleep period, also disrupting sleep timing. A stable and earlier sleep period among non-postpartum populations is related to better performance, physical health, and mental health. However, sleep timing has not been examined among postpartum women who are also vulnerable to daytime impairment. The study objective was to examine how the timing and regularity of sleep during the early postpartum period are related to daytime functioning across postpartum weeks 2-13. In this field-based study, 71 primiparous women wore an actigraph, a small wrist-worn device that monitors sleep and sleep timing, for the 12-week study period. Mothers self-administered a 5-min psychomotor vigilance test (PVT) each morning to evaluate the number of >500ms response lapses. They also completed a Morningness-Eveningness scale at the beginning of the study to identify chronotype. After controlling for maternal age, earlier sleep timing was associated with significantly fewer PVT lapses at postpartum weeks 9,12; a more stable sleep midpoint was associated with significantly fewer PVT lapses at postpartum weeks 2,5-13. Earlier sleep midpoints were related to more stable sleep midpoints at postpartum week 2 and a morning-type chronotype. An earlier sleep midpoint was also associated with a reduced slope of worsening PVT lapses across weeks. Across the first 12 postpartum weeks, women with earlier or more stable sleep periods had less daytime impairment than women with later or more variable sleep midpoints. Postpartum women with earlier sleep midpoints also showed less severe decrements in performance across time, which has been attributed to cumulative impacts of sleep disturbance. These data suggest that the sleep period, in addition to sleep duration and fragmentation, should be more closely examined, particularly among vulnerable women, as it may affect the neurobehavioral performance of new mothers.

Minimum duration of actigraphy-defined nocturnal awakenings necessary for morning recall.

BACKGROUND: Healthy adults awaken between each sleep cycle approximately 5 times each night but generally do not remember all of these awakenings in the morning. A rule of thumb has arisen in the sleep field that approximately 5 min of continuous wakefulness are required to form a memory for an awakening. However, few studies have examined memory for these sleep-wake transitions and none have done so in the home, while participants follow their normal routine. METHODS: Self-report and actigraphy were used in the participant's home environment to determine the minimum duration of an awakening necessary for morning recall for each of the 39 healthy adults. RESULTS: Recall thresholds ranged from 30 to 600 s with a mean of 259 s (4 min 19 s) and were negatively associated with sleep efficiency but not significantly associated with total sleep time, age, income, or education. There also was a sex by cohabitation interaction, with single men having lower thresholds than single women and cohabiting participants, which was explained by higher sleep efficiency in noncohabitating men. Large individual differences suggest that many factors may influence recall threshold. CONCLUSIONS: Our preliminary study is the first to calculate the duration of wakefulness necessary for morning recall of nocturnal awakenings and the first to use a field-based design, allowing for the study of habitual sleep patterns at the participant's home. Further study is needed to explore if recall thresholds calculated using actigraphy can be validated against polysomnography (PSG) or be used to guide potential treatments.

Sleep disturbance and neurobehavioral performance among postpartum women.

STUDY OBJECTIVES: Sleep disturbances cause neurobehavioral performance and daytime functioning impairments. Postpartum women experience high levels of sleep disturbance. Thus, the study objective was to describe and explore the relation between neurobehavioral performance and sleep among women during the early postpartum period. DESIGN: Longitudinal field-based study. PARTICIPANTS: There were 70 primiparous women and nine nulliparous women in a control group. INTERVENTIONS: None. METHODS AND RESULTS: During their first 12 postpartum weeks, 70 primiparous women wore continuous wrist actigraphy to objectively monitor their sleep. Each morning they self-administered the psychomotor vigilance test (PVT) to index their neurobehavioral performance. Nine nulliparous women in a control group underwent the same protocol for 12 continuous weeks. Postpartum PVT mean reciprocal (1/RT) reaction time did not differ from that of women in the control group at postpartum week 2, but then worsened over time. Postpartum slowest 10% 1/RT PVT reaction time was significantly worse than that of women in the control group at all weeks. Despite improvements in postpartum sleep, neurobehavioral performance continued to worsen from week 2 through the end of the study. Across the first 12 postpartum weeks, PVT measures were more frequently associated with percent sleep compared with total sleep time, highlighting the deleterious consequences of sleep disruption on maternal daytime functioning throughout the early postpartum period. CONCLUSIONS: Worsened maternal neurobehavioral performance across the first 12 postpartum weeks may have been influenced by the cumulative effects of sleep disturbance. These results can inform future work to identify the particular sleep profiles that could be primary intervention targets to improve daytime functioning among postpartum women, and indicate need for further research on the effectiveness of family leave policies. The time when postpartum women return to control-level daytime functioning is unknown.