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.

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.

Environmental and behavioural factors associated with school children's sleep in Aotearoa/New Zealand.

AIM: To collect objective and subjective sleep data on 6- to 8-year-old children across the week and to identify factors within the family environment associated with sleep differences. METHODS: Data were collected (n = 52) using actigraphy and diaries for 7 consecutive days and nights and a questionnaire incorporating the Children's Sleep Habits Questionnaire was completed by parents. RESULTS: Children's actigraphic sleep periods averaged 10 h on school nights and 9.5 h on non-school nights and parents over-estimated children's sleep compared with actigraphy. One third (37%) of children had potential sleep problems. Children who shared a bedroom (31%) had shorter sleep onset latencies and those who consumed caffeinated drinks (33%) went to sleep and awoke later. Increased screen time was associated with later bedtimes on school nights and children with screens in bedrooms (12%) went to bed later and slept less on school nights, and had higher Children's Sleep Habits Questionnaire scores. Children living with a shift-working adult (27%) slept longer on non-school nights and had shorter sleep onset latencies on school nights. CONCLUSIONS: It is important to consider children's sleep within the wider family context and to be aware that parents may over-estimate their children's sleep. Simple strategies to promote sleep health in clinical settings or education programmes include regular weekend bedtimes that align with those on school nights, removing technology from bedrooms and minimising caffeine consumption. An awareness of potential sleep differences associated with shift-working adults may ensure children are supported to have consistent sleep routines that promote adequate sleep.

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.

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.

Exploring older care recipients' sleep status as a predictor for informal carer distress: evidence from New Zealand's interRAI home care assessment data.

OBJECTIVES: Understanding factors affecting informal carers' well-being is important to support healthy ageing at home. Sleep disturbances of care recipients are increasingly recognised as affecting the well-being of both parties. This research assesses the relationship between indicators of care recipients' sleep status and carer distress, as well as carer distress with subsequent admission to residential aged care, using prospectively collected Home Care International Residential Assessment Instrument (interRAI-HC) assessment data. PARTICIPANTS: Data were sourced from 127 832 assessments conducted between 2012 and 2019 for people aged 55 years or older who had support from at least one informal carer. The majority (59.4%) of care recipients were female and 59.1% were defined as having cognitive impairment or dementia (CIoD). SETTING: New Zealand. DESIGN: Logistic regression modelling was used to assess the independent relationships between indicators of care recipients' sleep status (difficulty sleeping and fatigue) and primary caregivers' distress (feeling overwhelmed or distressed). Kaplan meier curves illustrated the subsequent relationship between caregiver distress and care recipients' transitions to aged residential care. RESULTS: Care recipients' sleeping difficulty (32.4%) and moderate-severe fatigue (46.6%) were independently associated with caregiver distress after controlling for key demographic and health factors included in the assessment. Distress was reported by 39.9% of informal caregivers and was three times more likely among those supporting someone with a CIoD. Caregiver distress was significantly associated with care recipients' earlier admission into aged residential care. CONCLUSIONS: Indicators of sleep disturbance among care recipients are associated with increased likelihood of carer distress. This has implications for managing the overall home-care situation and long-term care needs, as well as the well-being of both parties. Findings will inform research and development of measures, services and interventions to improve the sleep and waking health of older people, including those with CIoD and family caregivers.

"I think I could have coped if I was sleeping better": Sleep across the trajectory of caring for a family member with dementia.

Dementia-related sleep changes can lead to disruptions among families living with dementia which can jeopardise carers' wellbeing and ability to provide support. This research explores and represents the sleep of family caregivers across the trajectory of caring, before, during, and after the key period of their care recipient moving into residential care. The focus of this paper is viewing dementia caregiving as a trajectory, characterised by care needs which change over time. Semi-structured interviews were conducted with 20 carers whose family member with dementia had transitioned into residential care within the prior 2 years. Themes constructed from these interviews indicated that sleep was linked to earlier life course patterns as well as to significant moments of transition in the caregiving journey. As dementia progressed, carers' sleep progressively worsened in relation to the less predictable nature of dementia-symptoms, difficulty maintaining routines, and constant responsibilities creating a state of high alert. Carers attempted to facilitate better sleep and wellbeing for their family member, often sacrificing their own self-care. Around the care transition period, some cares reported not realising how sleep deprived they were; for others the busy momentum continued. After the transition, many carers acknowledged that they were exhausted, although many had not realised this while providing home-based care. Post-transition, many carers reported ongoing sleep disruptions associated with poor sleep habits established whilst caring, insomnia or nightmares and grief. Carers were optimistic that their sleep would improve with time and many were enjoying sleeping according to their own preferences. The sleep experience of family carers is unique and includes tensions between their essential need for sleep and the experience of care as self-sacrifice. Findings have implications for timely support and interventions for families living with dementia.

Insomnia - treatment pathways, costs and quality of life.

BACKGROUND: Insomnia is perhaps the most common sleep disorder in the general population, and is characterised by a range of complaints around difficulties in initiating and maintaining sleep, together with impaired waking function. There is little quantitative information on treatment pathways, costs and outcomes. The aims of this New Zealand study were to determine from which healthcare practitioners patients with insomnia sought treatment, treatment pathways followed, the net costs of treatment and the quality of life improvements obtained. METHODS: The study was retrospective and prevalence based, and was both cost effectiveness (CEA) and a cost utility (CUA) analysis. Micro costing techniques were used and a societal analytic perspective was adopted. A deterministic decision tree model was used to estimate base case values, and a stochastic version, with Monte Carlo simulation, was used to perform sensitivity analysis. A probability and cost were attached to each event which enabled the costs for the treatment pathways and average treatment cost to be calculated. The inputs to the model were prevalence, event probabilities, resource utilisations, and unit costs. Direct costs and QALYs gained were evaluated. RESULTS: The total net benefit of treating a person with insomnia was $482 (the total base case cost of $145 less health costs avoided of $628). When these results were applied to the total at-risk population in New Zealand additional treatment costs incurred were $6.6 million, costs avoided $28.4 million and net benefits were $21.8 million. The incremental net benefit when insomnia was "successfully" treated was $3,072 per QALY gained. CONCLUSIONS: The study has brought to light a number of problems relating to the treatment of insomnia in New Zealand. There is both inadequate access to publicly funded treatment and insufficient publicly available information from which a consumer is able to make an informed decision on the treatment and provider options. This study suggests that successful treatment of insomnia leads to direct cost savings and improved quality of life.

Factors associated with the sleep of carers: A survey of New Zealanders supporting a family member with cognitive impairment or dementia.

Sleep is important for healthy ageing. Data are limited concerning the sleep and health of New Zealand families affected by cognitive impairment or dementia. This postal survey asked about the sleep of 526 family carers and explored predictors of, and outcomes associated with poorer sleep. Linear and binominal logistic regression were used to identify independent predictors and outcomes of carers' sleep status. Using the Insomnia Severity Index, 23.5% of carers scored in the moderate-severe range and 43.0% in the mild range for sleep disturbance. More than a quarter indicated that their family member had difficulties falling asleep, getting up during the night, or waking too early. Over half of care recipients were considered to sleep too much during the day. Independent predictors for carers' reporting greater sleep disturbance included being female, caregiving at night, poorer self-rated health, and the care recipient having more disturbed sleep. Moderate-severe sleep disturbance was independently associated with poorer self-rated health and living standards, use of sleeping medications, as well as considering transitioning their family member into formal care within the year. These findings have implications for the wellbeing and trajectory of family carers as well as for health and aged care services.

"My quiet times": Themes of sleep health among people caring for a family member with dementia.

This research explores and represents the sleep of people caring for a family member with cognitive impairment or dementia. A thematic analysis was applied to the open-ended comments from 526 carers from a postal survey concerning sleep, health and caregiving. Themes are presented within a framework of five dimensions of sleep health. Themes of sleep duration included striking a balance between 'achieving the hours' whilst also sacrificing sleep to manage responsibilities. Themes of sleep efficiency included symptoms of insomnia ('losing sleep over the situation') and 'sleeping on guard' in case night-time support was required. Timing of sleep was themed as either restricted to 'when the one I care for sleeps' or salvaged as a luxury 'quiet time'. Levels of alertness were represented within themes of being 'tired all of the time' whilst also in a state of 'high alert'. Finally, overall sleep satisfaction ranged from themes concerning 'sleeping fine at the moment' to sleep being 'a big problem'. The sleep experience of family carers is unique and often includes tensions between roles and responsibilities and their own need for sleep and well-being. Findings have implications for community support and healthcare interventions for families affected by dementia.

Non-pharmacological interventions a feasible option for addressing dementia-related sleep problems in the context of family care.

BACKGROUND: Sleep disturbances are challenging symptoms associated with mild cognitive impairment or dementia (MCIoD). This study assessed the feasibility of sleep monitoring and non-pharmacological interventions to improve the sleep of New Zealanders with MCIoD and their family carers. METHODS: A 5-week multi-modal intervention consisting of timed bright light therapy, physical activity, and sleep education was piloted. Sleep was monitored for a week at baseline and conclusion of the trial using actigraphy, diaries, and questionnaires alongside additional health and wellbeing information concerning both care recipients and carers. RESULTS: Fifteen pairs participated, 9 completed the trial. Patterns of attrition and participant feedback are discussed. Case studies showed that six of the care recipients had minor improvements to sleep efficiency. Some also had improved subjective sleep ratings and quality of life. Changes did not clearly translate to family carers. However, five of them also showed some improvements in sleep status and mental health. Health deterioration of care recipients may mask the effects of the intervention. CONCLUSIONS: It is feasible to use non-pharmacological sleep interventions for people with MCIoD and their family carers. Given the limited treatment options, further consideration of such interventions in future research and clinical practice is warranted. TRIAL REGISTRATION: As this study was to assess the feasibility of proposed methods, it was an observational study without case-control groups nor a medical-based intervention, clinical registration was not required. A future full version of the trial would be registered with the Australian New Zealand Clinical Trails Registry.

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.

Daytime fatigue as a predictor for subsequent retirement among older New Zealand workers.

OBJECTIVES: There is limited information on the role of fatigue on retirement, either independently or in association with poor sleep. The aim of this study was to examine the prospective association between daytime fatigue, measured as feeling tired or feeling worn out, independently and in relation to dissatisfaction with sleep, and subsequent retirement among 960 older workers in New Zealand. METHODS: Data from 2 consecutive surveys (2008 and 2010) of the New Zealand Health, Work, and Retirement Longitudinal Study were used. Poisson regression was used to investigate whether feeling tired and feeling worn out in 2008, along with dissatisfaction with sleep, were associated with self-reported retirement either due to health reasons or other reasons by 2010. RESULTS: The risk for retirement due to health reasons during a 2-year follow-up was 1.80-fold (95% confidence interval [CI] 1.16-2.45) among those who felt tired and 1.99-fold (95% CI 1.34-2.64) among those who felt worn out when compared to those not tired or not feeling worn out after adjusting for several sociodemographic, work characteristics and self-rated health. The risk for retirement due to health reasons was even higher when participant experienced both tiredness and feeling worn out. Dissatisfaction with sleep did not predict retirement due to health or other reasons. CONCLUSIONS: Our results highlight that workers at risk of subsequent retirement due to health reasons may be identified with rather simple questions on tiredness and feeling worn out even among generally healthy older workers.

The New Zealand workforce survey I: self-reported occupational exposures.

INTRODUCTION: This study examines the prevalence of a range of occupational risk factors reported by a random sample of the New Zealand working population. METHODS: Men and women aged 20-64 were selected from the New Zealand Electoral Roll and invited to take part in a telephone interview, which collected information on lifetime work history, current workplace exposures and organizational factors, and various health conditions. The prevalences of occupational risk factors in each occupational and industry group are reported. RESULTS: Three thousand and three interviews were completed (37% of the eligible sample and 55% of those that could be contacted). Trades workers reported the highest prevalences of exposure to dust (75%) and oils and solvents (59%). Agriculture and fishery workers reported the highest prevalences of exposure to pesticides (63%) and acids or alkalis (25%). Plant and machine operators and assemblers reported the highest prevalences of exposure to smoke/fume/gas (43%), working night shift in the previous 4 weeks (18%), and working irregular hours (33%). In the high exposure occupational and industry groups, males reported a higher prevalence of exposure than females. Lifting, exposure to loud noise, and the use of personal protective equipment were reported by >50% of the manual occupational groups. CONCLUSIONS: This study indicates that occupational exposure to risk factors for work-related disease and injury remains common in the New Zealand working population. While these occupational exposures are disproportionately experienced by workers in certain industries, they also occur in occupational groups not traditionally associated with hazardous exposures or occupational disease.

Self-reported sleep problems and their relationship to life and living of Maori and non-Maori in advanced age.

OBJECTIVE: Life expectancy is increasing. Sleep problems are more likely with advancing age however, are largely overlooked, and the longitudinal health impact of reported sleep problems is unclear. In this study, relationships were examined between reporting prior or current sleep problems with health outcomes, among Maori and non-Maori of advanced age. METHOD: Data were available from 251 Maori and 398 non-Maori adults (79-90 years) from Wave 1 (W1) of Te Puawaitanga o Nga Tapuwae Kia Ora Tonu. Life and Living in Advanced Age: A Cohort Study in NZ (LiLACS NZ). Four years later (W5), data were available from 85 Maori and 200 non-Maori participants. Relationships between reporting problem sleep at W1 and cohort and health outcomes at W5 were investigated using generalised linear models and Cox proportional hazards models. RESULTS: Over 25% reported sleep problems at both waves. Mortality was associated with problem sleep for Maori but not non-Maori. Within the whole group, W1 problem sleepers were more likely to still have problems at W5, compared with nonproblem sleepers at W1. They also had poorer indicators of physical health and pain at W5. Problem sleepers at W5 had poorer concurrent mental health and increased likelihood of hospital admittance in the last year. CONCLUSION: Sleep health is an important characteristic of ageing well, particularly for Maori. Early recognition and management of sleep problems could improve physical and mental health with advancing age.

Development and evaluation of a matrix for assessing fatigue-related risk, derived from a national survey of nurses' work patterns.

BACKGROUND: Multiple aspects of nurses' rosters interact to affect the quality of patient care they can provide and their own health, safety and wellbeing. OBJECTIVES: (1) Develop and test a matrix incorporating multiple aspects of rosters and recovery sleep that are individually associated with three fatigue-related outcomes - fatigue-related clinical errors, excessive sleepiness and sleepy driving; and (2) evaluate whether the matrix also predicts nurses' ratings of the effects of rosters on aspects of life outside work. DESIGN: Develop and test the matrix using data from a national survey of nurses' fatigue and work patterns in six hospital-based practice areas with high fatigue risk. METHODS: Survey data included demographics, work patterns (previous 14 days), choice about shifts, and the extent to which work patterns cause problems with social life, home life, personal relationships, and other commitments (rated 1 = not at all to 5 = very much). Matrix variables were selected based on univariate associations with the fatigue-related outcomes, limits in the collective employment contract, and previous research. Each variable was categorised as lower (score 0), significant (score 1), or higher risk (score 2). Logistic multiple regression modelling tested the independent predictive power of matrix scores against models including all the (uncategorised) work pattern and recovery sleep variables with significant univariate associations with each outcome variable. Model fit was measured using Akaike and Bayesian Information Criterion statistics. RESULTS: Data were included from 2358 nurses who averaged at least 30 h/week in the previous fortnight in one of the target practice areas. Final matrix variables were: total hours worked; number of shift extensions >30 min, night shifts; breaks < 9 h; breaks ≥ 24 h; nights with sleep 11pm to 7am; days waking fully rested; and roster change. After controlling for gender, ethnicity, years of nursing experience, and the extent of shift choice, the matrix score was a significant independent predictor of each of the three fatigue-related outcomes, and for all four aspects of life outside work. For all outcome variables, the model including the matrix score was a better fit to the data than the equivalent model including all the (uncategorised) work pattern variables. CONCLUSIONS: A matrix that predicts the likelihood of nurses reporting fatigue-related safety outcomes can be used to compare the impact of rosters both at work and outside work. It can be used for roster design and management, and to guide nurses' choices about the shifts they work.