A scoping review of non-pharmacological perinatal interventions impacting maternal sleep and maternal mental health.

BACKGROUND: A woman's vulnerability to sleep disruption and mood disturbance is heightened during the perinatal period and there is a strong bidirectional relationship between them. Both sleep disruption and mood disturbance can result in significant adverse outcomes for women and their infant. Thus, supporting and improving sleep in the perinatal period is not only an important outcome in and of itself, but also a pathway through which future mental health outcomes may be altered. METHODS: Using scoping review methodology, we investigated the nature, extent and characteristics of intervention studies conducted during the perinatal period (pregnancy to one-year post-birth) that reported on both maternal sleep and maternal mental health. Numerical and descriptive results are presented on the types of studies, settings, sample characteristics, intervention design (including timeframes, facilitation and delivery), sleep and mood measures and findings. RESULTS: Thirty-seven perinatal interventions were identified and further described according to their primary focus (psychological (n = 9), educational (n = 15), lifestyle (n = 10), chronotherapeutic (n = 3)). Most studies were conducted in developed Western countries and published in the last 9 years. The majority of study samples were women with existing sleep or mental health problems, and participants were predominantly well-educated, not socio-economically disadvantaged, in stable relationships, primiparous and of White race/ethnicity. Interventions were generally delivered across a relatively short period of time, in either the second trimester of pregnancy or the early postnatal period and used the Pittsburgh Sleep Quality Index (PSQI) to measure sleep and the Edinburgh Postnatal Depression Scale (EPDS) to measure mood. Retention rates were high (mean 89%) and where reported, interventions were well accepted by women. Cognitive Behavioural Therapies (CBT) and educational interventions were largely delivered by trained personnel in person, whereas other interventions were often self-delivered after initial explanation. CONCLUSIONS: Future perinatal interventions should consider spanning the perinatal period and using a stepped-care model. Women may be better supported by providing access to a range of information, services and treatment specific to their needs and maternal stage. The development of these interventions must involve and consider the needs of women experiencing disadvantage who are predominantly affected by poor sleep health and poor mental health.

Multiple dimensions of sleep are consistently associated with chronically elevated depressive symptoms from late pregnancy to 3 years postnatal in Indigenous and non-Indigenous New Zealand women.

INTRODUCTION: Poor sleep and depressive symptoms are common throughout the perinatal period, but little is known about the extended time course of depression and the sleep dimensions associated with these trajectories. OBJECTIVE: This study investigated different depression trajectories in New Zealand Maori and non-Maori women from late pregnancy to 3 years postnatal. Relationships between multiple dimensions of sleep and these depression trajectories were also investigated. METHODS: Data from 856 women (30.6% Maori and 69.4% non-Maori) from the longitudinal Moe Kura cohort study were used. Depressive symptoms and multiple dimensions of sleep (quality, duration, latency, continuity and daytime sleepiness) were collected at 36 weeks' gestation, 12 weeks postnatal and 3 years postnatal. Trajectory analysis was completed using latent class analysis. RESULTS: Latent class analysis revealed two distinct groups of depressive symptom trajectories: 'chronic high' and 'stable mild' for both Maori and non-Maori women. Maori women in both trajectories were more likely than non-Maori women to have clinically significant depressive symptoms at every time point. Poorer sleep quality, latency, continuity and greater daytime sleepiness were consistently associated with the chronic high depressive symptom trajectory at all three time points, after controlling for sociodemographic factors. CONCLUSION: A significant proportion of Maori and non-Maori women experience chronically high depressive symptoms during the perinatal period and the following years. Across this extended time frame, Maori women have a higher probability of experiencing clinically significant depressive symptoms compared to non-Maori women. These persistent patterns of depressive symptoms occur concurrently with multiple dimensions of poor sleep. Given the well-described impact of maternal depression on the mother, child, family and community, this highlights the importance of healthcare professionals asking about mothers' sleep quality, continuity, latency and daytime sleepiness as potential indicators of long-term mood outcomes.

Sleep HAPi: A Feasibility and Descriptive Analysis of an Early and Longitudinal Sleep Education Intervention for Pregnant Women.

Background: Poor sleep and prior depression are key predictors of perinatal depression, with research suggesting depressive symptoms may emerge in early pregnancy. Sleep is a potentially modifiable risk factor for depression. This pilot study examined the feasibility and acceptability of a six-month sleep education intervention designed to optimize sleep and minimize depressive symptoms throughout pregnancy. Sleep measures and depressive symptoms are described from 12 weeks gestation to 12 weeks postpartum.Participants: A community sample of nulliparous pregnant women with a history of depression were recruited prior to 14 weeks gestation.Methods: An individualized sleep education program was developed and participants engaged in three trimester specific sleep education sessions. Feasibility and acceptability were determined via recruitment and retention rates and participant feedback. Depressive symptoms and sleep were measured at five time points throughout the study.Results: 22 women enrolled in the study and 15 completed the intervention. Participants reported the intervention as highly acceptable. There was minimal change in all dimensions of sleep across pregnancy, but sleep measures were significantly worse at six weeks postpartum and improved by 12 weeks postpartum. Depressive symptoms were significantly lower at the conclusion of the intervention and 12 weeks postpartum compared to trimester 1.Conclusions: This sleep education program appears feasible, acceptable and may be effective in minimizing depressive symptoms in pregnant women with a history of depression. Trials with larger and more diverse samples are warranted and further studies to ascertain efficacy should be undertaken with a control group.

"Their Sleep Means More Harmony": Maternal Perspectives and Experiences of Preschoolers' Sleep in Ethnically and Socioeconomically Diverse Families in Aotearoa/New Zealand.

Viewing sleep through a socioecological lens, maternal perceptions, and experiences of preschoolers' sleep were explored using semistructured interviews with 15 Maori (indigenous) and 16 non-Maori mothers, with low- and high socioeconomic position. Thematic analysis identified four themes: child happiness and health, maternal well-being, comfort and connection, and family functioning and harmony. Mothers perceived healthy preschooler sleep as supporting children's mental and physical health, parents' sleep/wake functioning, family social cohesion and emotional connectedness, and poor preschooler sleep as negatively influencing child, maternal and family well-being. Although many experiences were shared, some perceptions of sleep and sleep practices differed between mothers. Influences included health paradigms, socioeconomic circumstances, maternal autonomy, employment, parenting approaches, and societal expectations. Healthy preschooler sleep is valued by mothers and may play a protective role in family health and resilience. Preschooler sleep initiatives need to be responsive to maternal perspectives and address societal drivers of sleep experiences.

The prevalence of symptoms of depression and anxiety, and the level of life stress and worry in New Zealand Maori and non-Maori women in late pregnancy.

OBJECTIVE: To describe the prevalence of symptoms of depression and anxiety, and the level of life stress and worry in late pregnancy for Maori and non-Maori women. METHODS: In late pregnancy, women completed a questionnaire recording their prior history of mood disorders; self-reported current depressive symptoms (⩾13 on the Edinburgh Postnatal Depression Scale), current anxiety symptoms (⩾6 on the anxiety items from the Edinburgh Postnatal Depression Scale), significant life stress (⩾2 items on life stress scale) and dysfunctional worry (>12 on the Brief Measure of Worry Scale). RESULTS: Data were obtained from 406 Maori women (mean age = 27.6 years, standard deviation=6.3 years) and 738 non-Maori women (mean age = 31.6 years, standard deviation=5.3 years). Depressive symptoms (22% vs 15%), anxiety symptoms (25% vs 20%), significant life stress (55% vs 30%) and a period of poor mood during the current pregnancy (18% vs 14%) were more prevalent for Maori than non-Maori women. Less than 50% of women who had experienced ⩾2 weeks of poor mood during the current pregnancy had sought help. Being young was an independent risk factor for depressive symptoms, significant life stress and dysfunctional worry. A prior history of depression was also consistently associated with a greater risk of negative affect in pregnancy. CONCLUSION: Antenatal mental health requires at least as much attention and resourcing as mental health in the postpartum period. Services need to specifically target Maori women, young women and women with a prior history of depression.

Effects of sleep/wake history and circadian phase on proposed pilot fatigue safety performance indicators.

The Karolinska Sleepiness Scale and Samn-Perelli fatigue ratings, and psychomotor vigilance task performance are proposed as measures for monitoring commercial pilot fatigue. In laboratory studies, they are sensitive to sleep/wake history and circadian phase. The present analyses examined whether they reliably reflect sleep/wake history and circadian phase during transmeridian flight operations. Data were combined from four studies (237 pilots, 730 out-and-back flights between 13 city pairs, 1-3-day layovers). Sleep was monitored (wrist actigraphy, logbooks) before, during and after trips. On duty days, sleepiness, fatigue and mean response speed were measured pre-flight and at the top of the descent. Mixed-model analysis of variance examined associations between these measures and sleep/wake history, after controlling for operational factors. Circadian phase was approximated by local (domicile) time in the city where each trip began and ended. More sleep in the 24 h prior to duty was associated with lower pre-flight sleepiness and fatigue and faster response speed. Sleepiness and fatigue were greater before flights departing during the domicile night and early morning. At the top of the descent, pilots felt less sleepy and fatigued after more in-flight sleep and less time awake. Flights arriving in the early-mid-morning (domicile time) had greater sleepiness and fatigue and slower response speeds than flights arriving later. Subjective ratings showed expected associations with sleep/wake history and circadian phase. The response speed showed expected circadian variation but was not associated with sleep/wake history at the top of the descent. This may reflect moderate levels of fatigue at this time and/or atypically fast responses among pilots.

Crew fatigue safety performance indicators for fatigue risk management systems.

INTRODUCTION: Implementation of Fatigue Risk Management Systems (FRMS) is gaining momentum; however, agreed safety performance indicators (SPIs) are lacking. This paper proposes an initial set of SPIs based on measures of crewmember sleep, performance, and subjective fatigue and sleepiness, together with methods for interpreting them. METHODS: Data were included from 133 landing crewmembers on 2 long-range and 3 ultra-long-range trips (4-person crews, 3 airlines, 220 flights). Studies had airline, labor, and regulatory support, and underwent independent ethical review. SPIs evaluated preflight and at top of descent (TOD) were: total sleep in the prior 24 h and time awake at duty start and at TOD (actigraphy); subjective sleepiness (Karolinska Sleepiness Scale) and fatigue (Samn-Perelli scale); and psychomotor vigilance task (PVT) performance. Kruskal-Wallis nonparametric ANOVA with post hoc tests was used to identify significant differences between flights for each SPI. RESULTS: Visual and preliminary quantitative comparisons of SPIs between flights were made using box plots and bar graphs. Statistical analyses identified significant differences between flights across a range of SPls. DISCUSSION: In an FRMS, crew fatigue SPIs are envisaged as a decision aid alongside operational SPIs, which need to reflect the relevant causes of fatigue in different operations. We advocate comparing multiple SPIs between flights rather than defining safe/unsafe thresholds on individual SPIs. More comprehensive data sets are needed to identify the operational and biological factors contributing to the differences between flights reported here. Global sharing of an agreed core set of SPIs would greatly facilitate implementation and improvement of FRMS.

Pilot fatigue: relationships with departure and arrival times, flight duration, and direction.

INTRODUCTION: Flight timing is expected to influence pilot fatigue because it determines the part of the circadian body clock cycle that is traversed during a flight. However the effects of flight timing are not well-characterized because field studies typically focus on specific flights with a limited range of departure times and have small sample sizes. The present project combined data from four studies, including 13 long-range and ultra-long range out-and-back trips across a range of departure and arrival times (237 pilots in 4-person crews, 730 flight segments, 1-3 d layovers). METHODS: All studies had tripartite support and underwent independent ethical review. Sleep was monitored (actigraphy) from 3 d prior to ≥ 3 d post-trip. Preflight and at top of descent (TOD), pilots rated their sleepiness (Karolinska Sleepiness Scale) and fatigue (Samn-Perelli scale), and completed a psychomotor vigilance task (PVT) test. Mixed model ANOVA identified independent associations between fatigue measures and operational factors (domicile times of departure and arrival, flight duration and direction, landing versus relief crew). RESULTS: Preflight subjective fatigue and sleepiness were lowest for flights departing 14:00-17:59. Total in-flight sleep was longest on flights departing 18:00-01:59. At TOD, fatigue and sleepiness were higher and PVT response speeds were slower on flights arriving 06:00-09:59 than on flights arriving later. PVT response speed at TOD was also faster on longer flights. DISCUSSION: The findings indicate the influence of flight timing (interacting with the circadian body clock cycle), as well as flight duration, on in-flight sleep and fatigue measures at TOD.

Mitigating and monitoring flight crew fatigue on a westward ultra-long-range flight.

BACKGROUND: This study examined the uptake and effectiveness of fatigue mitigation guidance material including sleep recommendations for a trip with a westward ultra-long-range flight and return long-range flight. METHODS: There were 52 flight crew (4-pilot crews, mean age 55 yr) who completed a sleep/duty diary and wore an actigraph prior to, during, and after the trip. Primary crew flew the takeoff and landing, while relief crew flew the aircraft during the Primary crew's breaks. At key times in flight, crewmembers rated their fatigue (Samn-Perelli fatigue scale) and sleepiness (Karolinska Sleepiness Scale) and completed a 5-min Psychomotor Vigilance Task. RESULTS: Napping was common prior to the outbound flight (54%) and did not affect the quantity or quality of in-flight sleep (mean 4.3 h). Primary crew obtained a similar amount on the inbound flight (mean 4.0 h), but Secondary crew had less sleep (mean 2.9 h). Subjective fatigue and sleepiness increased and performance slowed across flights. Performance was faster on the outbound than inbound flight. On both flights, Primary crew were less fatigued and sleepy than Secondary crew, particularly at top of descent and after landing. Crewmembers slept more frequently and had more sleep in the first 24 h of the layover than the last, and had shifted their main sleep to the local night by the second night. DISCUSSION: The suggested sleep mitigations were employed by the majority of crewmembers. Fatigue levels were no worse on the outbound ultra-long-range flight than on the return long-range flight.

Inequities in adolescent sleep health in Aotearoa New Zealand: Cross-sectional survey findings.

OBJECTIVES: To investigate ethnic inequities in, and social determinants of, adolescent sleep health in Aotearoa New Zealand. METHODS: Analysis of self-report data from a cross-sectional survey of secondary school students (12- to 18-year-olds). Analyses included weighted prevalence estimates of good and poor sleep health stratified by ethnicity, and multivariable logistic regression models concurrently adjusted for ethnicity, school year, gender, rurality, neighborhood deprivation, school decile, housing deprivation, sleeping elsewhere due to lack of adequate housing, unsafe environment, and racism. RESULTS: Inequities in social determinants of health were evident for Maori (Indigenous peoples of Aotearoa New Zealand; n = 1528) and minoritized (Pacific n = 1204; Asian n = 1927; Middle Eastern, Latin American, and African [MELAA] n = 210; and 'Other' ethnicity n = 225) adolescents. A greater proportion of Maori, Pacific, Asian, MELAA, and 'Other' adolescents had short sleep, compared to European (n = 3070). Maori, Pacific, Asian, and MELAA adolescents were more likely to report late bedtimes (after midnight), and Maori, Pacific, and 'Other' adolescents were more likely to report early waketimes (5 AM-6 AM or earlier), on school days. Rurality, neighborhood deprivation, school-level deprivation, housing deprivation, sleeping elsewhere due to inadequate housing, unsafe environments, and racism partially, but not fully, explained associations between ethnicity and short sleep, late bedtimes, and early waketimes. CONCLUSIONS: Ethnic inequities exist in adolescent sleep health in Aotearoa New Zealand. Socio-political actions are needed to address racism and colonialism as root causes of ethnic inequities in adolescent sleep, to ensure all young people are afforded the basic human right of good sleep health and associated mental and physical well-being.

In-flight sleep, pilot fatigue and Psychomotor Vigilance Task performance on ultra-long range versus long range flights.

This study evaluated whether pilot fatigue was greater on ultra-long range (ULR) trips (flights >16 h on 10% of trips in a 90-day period) than on long range (LR) trips. The within-subjects design controlled for crew complement, pattern of in-flight breaks, flight direction and departure time. Thirty male Captains (mean age = 54.5 years) and 40 male First officers (mean age = 48.0 years) were monitored on commercial passenger flights (Boeing 777 aircraft). Sleep was monitored (actigraphy, duty/sleep diaries) from 3 days before the first study trip to 3 days after the second study trip. Karolinska Sleepiness Scale, Samn-Perelli fatigue ratings and a 5-min Psychomotor Vigilance Task were completed before, during and after every flight. Total sleep in the 24 h before outbound flights and before inbound flights after 2-day layovers was comparable for ULR and LR flights. All pilots slept on all flights. For each additional hour of flight time, they obtained an estimated additional 12.3 min of sleep. Estimated mean total sleep was longer on ULR flights (3 h 53 min) than LR flights (3 h 15 min; P(F) = 0.0004). Sleepiness ratings were lower and mean reaction speed was faster at the end of ULR flights. Findings suggest that additional in-flight sleep mitigated fatigue effectively on longer flights. Further research is needed to clarify the contributions to fatigue of in-flight sleep versus time awake at top of descent. The study design was limited to eastward outbound flights with two Captains and two First Officers. Caution must be exercised when extrapolating to different operations.

Mental health in the veterinary profession: an individual or organisational focus?

The veterinary profession is experiencing a shortage of veterinarians, with attrition recognised as a substantial contributor. Research has also indicated increased levels of mental ill health and alarming suicide rates in practitioners. The primary aim of this study was to investigate the impact of eleven modifiable workplace factors on mental health outcomes, job appreciation and intention to leave the veterinary profession. The second aim was to ascertain whether workplace factors influence mental health outcomes after controlling for individual resilience. An online survey was completed by 73 practising Australian veterinarians. Unfavourable workplace factors correlated with adverse outcomes including depression, stress, reduced job appreciation and increased likelihood of leaving both the role and the profession. Workplace factors remained linked with the outcomes of job appreciation, depression and stress whilst controlling for practitioner resilience. Job appreciation was a significant predictor of intention to leave both the current role and the profession. Via multiple linear regression, two categories were identified as associated with improved psychological outcomes and job appreciation. These were workplace factors that represent breaks from workload and control or decision latitude in the workplace. Whilst resilience represents a key area for intervention, workplace factors potentially represent an easier-to-modify area for intervention.

Sleep inequities and associations between poor sleep and mental health for school-aged children: findings from the New Zealand Health Survey.

In Aotearoa/New Zealand, ethnic inequities in sleep health exist for young children and adults and are largely explained by inequities in socioeconomic deprivation. Poor sleep is related to poor mental health for these age groups but whether sleep inequities and associations with mental health exist for school-aged children is unclear. We aimed to (1) determine the prevalence of poor sleep health including sleep problems by ethnicity, (2) examine social determinants of health associated with poor sleep, and (3) investigate relationships between poor sleep and mental health for 5-14-year-olds using cross-sectional New Zealand Health Survey data (n = 8895). Analyses included weighted prevalence estimates and multivariable logistic regression. Short sleep was more prevalent for Indigenous Maori (17.6%), Pacific (24.5%), and Asian (18.4%) children, and snoring/noisy breathing during sleep was more prevalent for Maori (29.4%) and Pacific (28.0%) children, compared to European/Other (short sleep 10.2%, snoring/noisy breathing 17.6%). Ethnicity and neighborhood socioeconomic deprivation were independently associated with short sleep and snoring/noisy breathing during sleep. Short sleep was associated with increased odds of anxiety, attention deficit hyperactivity disorder, and activity-limiting emotional and psychological conditions after adjusting for ethnicity, deprivation, age, and gender. In addition, long sleep was independently associated with increased odds of depression. These findings demonstrate that for school-aged children ethnic inequities in sleep exist, socioeconomic deprivation is associated with poor sleep, and poor sleep is associated with poor mental health. Sociopolitical action is imperative to tackle social inequities to support sleep equity and mental health across the lifecourse.

A Cross-Sectional Investigation of Preadolescent Cardiometabolic Health: Associations with Fitness, Physical Activity, Sedentary Behavior, Nutrition, and Sleep.

BACKGROUND: Cardiometabolic disease (CMD) risk often begins early in life. Healthy lifestyle behaviors can mitigate risk, but the optimal combination of behaviors has not been determined. This cross-sectional study simultaneously examined the associations between lifestyle factors (fitness, activity behaviors, and dietary patterns) and CMD risk in preadolescent children. METHODS: 1480 New Zealand children aged 8-10 years were recruited. Participants included 316 preadolescents (50% female, age: 9.5 ± 1.1 years, BMI: 17.9 ± 3.3 kg/m2). Fitness (cardiorespiratory fitness [CRF], muscular fitness), activity behaviors (physical activity, sedentary, sleep), and dietary patterns were measured. Factor analysis was used to derive a CMD risk score from 13 variables (adiposity, peripheral and central hemodynamics, glycemic control, and blood lipids). RESULTS: Only CRF (ß = -0.45, p < 0.001) and sedentary time (ß = 0.12, p = 0.019) were associated with the CMD risk score in the adjusted multivariable analysis. CRF was found to be nonlinear (VO2 max ≤ ≈42 mL/kg/min associated with higher CMD risk score), and thus a CRF polynomial term was added, which was also associated (ß = 0.19, p < 0.001) with the CMD risk score. Significant associations were not found with sleep or dietary variables. CONCLUSION: The findings indicate that increasing CRF and decreasing sedentary behavior may be important public health targets in preadolescent children.

Correction to: Who meets national early childhood sleep guidelines in Aotearoa New Zealand? A cross-sectional and longitudinal analysis.

[This corrects the article DOI: 10.1093/sleepadvances/zpac002.].

Who meets national early childhood sleep guidelines in Aotearoa New Zealand? A cross-sectional and longitudinal analysis.

Study Objectives: To investigate the proportion of children in Aotearoa New Zealand (NZ) who do or do not meet sleep duration and sleep quality guidelines at 24 and 45 months of age and associated sociodemographic factors. Methods: Participants were children (n = 6490) from the Growing Up in New Zealand longitudinal study of child development with sleep data available at 24 and/or 45 months of age (48.2% girls, 51.8% boys; 22.4% Maori [the Indigenous people of NZ], 12.9% Pacific, 13.4% Asian, 45.2% European/Other). Relationships between sociodemographic factors and maternally reported child sleep duration (across 24 hours) and night wakings were investigated cross-sectionally and longitudinally. Estimates of children in NZ meeting sleep guidelines were calculated using a range of analytical techniques including Bayesian linear regression, negative binomial multiple regression, and growth curve models. Results: In NZ, 29.8% and 19.5% of children were estimated to have a high probability of not meeting sleep duration guidelines and 15.4% and 8.3% were estimated to have a high probability of not meeting night waking guidelines at 24 and 45 months respectively, after controlling for multiple sociodemographic variables. Factors associated cross-sectionally with children's sleep included ethnicity, socioeconomic deprivation, material standard of living, rurality, and heavy traffic, and longitudinal sleep trajectories differed by gender, ethnicity, and socioeconomic deprivation. Conclusions: A considerable proportion of young children in NZ have a high probability of not meeting sleep guidelines but this declines across the ages of 24 and 45 months. Sleep health inequities exist as early as 24 months of age in NZ.

Adiposity in preadolescent children: Associations with cardiorespiratory fitness.

Lifestyle factors contribute to childhood obesity risk, however it is unclear which lifestyle factors are most strongly associated with childhood obesity. The purpose of this cross-sectional study was to simultaneously investigate the associations among dietary patterns, activity behaviors, and physical fitness with adiposity (body fat %, fat mass, body mass index [BMI], and waist to hip ratio) in preadolescent children. Preadolescent children (N = 392, 50% female, age: 9.5 ± 1.1year, BMI: 17.9 ± 3.3 kg/m2) were recruited. Body fat (%) and fat mass (kg) were measured with bioelectrical impedance analysis. Cardiorespiratory fitness (VO2 max), muscular strength (hand-grip strength), activity, sleep, and dietary pattern was assessed. Multivariable analysis revealed that cardiorespiratory fitness associated most strongly with all four indicators of adiposity (body fat (%) (ß = -0.2; p < .001), fat mass (ß = -0.2; p < .001), BMI (ß = -0.1; p < .001) and waist to hip ratio (ß = -0.2; p < .001). Additionally, fruit and vegetable consumption patterns were associated with body fat percentage, but the association was negligible (ß = 0.1; p = 0.015). Therefore, future interventions should aim to promote the use of cardiorespiratory fitness as a means of reducing the obesity epidemic in children.

Sleep/wake behaviour of competitive adolescent athletes in New Zealand: insight into the impact of early morning training.

OBJECTIVE: Sleep plays a crucial role in the health, wellbeing, and development of adolescent athletes' sporting and academic lives. This study aimed to monitor the sleep/wake behaviour of adolescent athletes who have frequent early morning training sessions. METHODS: 13 swimmers (mean age 14.8 ± 1.4; 46% male) and 19 rowers (mean age 16.5 ± 1.1; all male) wore actigraphs and completed sleep diaries over a 2-week training period. Diaries included the Hooper Index and a question regarding device use before bed. Participants also completed chronotype questionnaires. Nights of the week were categorised as taking place before "morning training", "mornings off", "weekend mornings off", and "weekend morning training". Actigraphy and sleep diary variables were compared for different nights of the week. RESULTS: All athletes were classified as "morning type". Average sleep duration across the study was 7h55 (±1h33). Median sleep duration was significantly shorter on nights before weekday morning training (6h44) compared to weekday mornings off (8h45). This was due to an earlier wake time (04:51) while bedtime remained constant (∼22:15). Athletes went to bed later, woke later and slept for longer on nights before weekend mornings off compared to weekday nights. CONCLUSIONS: Early morning training advanced the wake times of the athletes while bedtime remained constant. This shortened sleep below age recommended durations on the nights before early morning training during the week. These findings suggest that weekly average sleep duration does not accurately reflect athletes' nightly sleep given the large variability across a training week.

Effect of a behavioral-educational sleep intervention for first-time mothers and their infants: pilot of a controlled trial.

STUDY OBJECTIVES: This study tested the acceptability and efficacy of a perinatally delivered behavioral-educational sleep intervention. METHODS: Participants were 40 primiparous women assigned in late pregnancy to either an intervention (n = 20) or control (n = 20) group. The sleep intervention group (SIG) received prenatal anticipatory education and guidance regarding their own and their infant's sleep during the first 3 months postpartum. This was reinforced during phone calls within the first 6 weeks postpartum. The control group (CG) received brief sleep hygiene information at a prenatal session, followed by 2 phone calls during the same period. Mother-infant pairs wore actigraphs for 48 hours at 6 and 12 weeks postpartum, and mothers kept sleep diaries. Questionnaires completed in late pregnancy and 6 and 12 weeks postpartum related to sleep, newborn care, and mood. The main outcome measures included maternal sleep quantity, efficiency, and self-reported quality and infant sleep duration and consolidation. RESULTS: Mothers reported high acceptability of the study processes. Sleep duration and quality increased for mothers and infants across time in both groups, with a significantly greater increase in nocturnal sleep duration for mothers in the SIG. CONCLUSIONS: Prenatal sleep guidance and postnatal follow-up seems to enhance nocturnal sleep of mothers, change their perceptions of their own sleep, and increase confidence in managing their infant's sleep. Follow-up at later intervals and replication with larger, more diverse samples may reveal further differences.

Sleep timing and sleep problems of preschoolers in Aotearoa/New Zealand: relationships with ethnicity and socioeconomic position.

OBJECTIVES: To provide descriptive sleep data and explore sleep inequities, we investigated maternal reports of when and how well Maori (Indigenous) and non-Maori preschoolers sleep, and examined relationships between ethnicity (child and maternal), socioeconomic position (SEP) and sleep timing and problems of 3-4 year old children in Aotearoa/New Zealand (NZ). METHODS: This study involved cross-sectional analysis of data from the Moe Kura: Mother and Child, Sleep and Wellbeing in Aotearoa/New Zealand longitudinal study. Log-binomial regression models were used to investigate associations between child and maternal demographic variables and preschooler bedtimes, social jetlag and maternally-reported sleep problems. Child models included child ethnicity, child gender, area- and individual-level deprivation. Maternal models included maternal ethnicity, maternal age, area- and individual-level deprivation. RESULTS: 340 Maori and 570 non-Maori preschoolers and their mothers participated. Maori preschoolers had later average bedtimes and wake times than non-Maori preschoolers. Ethnicity and area-level deprivation were independently associated with later bedtimes. Ethnicity was associated with social jetlag and sleep problems, independent of SEP. Individual-level deprivation was associated with problems falling asleep. Preschoolers of Maori mothers in least deprived areas were more likely to have problems falling asleep than preschoolers of non-Maori mothers in least deprived areas. CONCLUSIONS: Research is needed to understand what sleep timing differences mean for preschoolers' wellbeing in NZ. Fundamental causes of social and economic disadvantage experienced by Indigenous children and mothers and by families who hold low SEP must be addressed, in order to eliminate sleep health inequities in early childhood.