Literature DB >> 24605819

Fatty acids and sleep in UK children: subjective and pilot objective sleep results from the DOLAB study--a randomized controlled trial.

Paul Montgomery1, Jennifer R Burton, Richard P Sewell, Thees F Spreckelsen, Alexandra J Richardson.   

Abstract

Sleep problems in children are associated with poor health, behavioural and cognitive problems, as are deficiencies of long-chain omega-3 fatty acids such as docosahexaenoic acid. Theory and some evidence support a role for these fatty acids in sleep regulation, but this issue has received little formal investigation. We examined associations between blood fatty acid concentrations (from fingerstick blood samples) and subjective sleep (using an age-standardized parent questionnaire) in a large epidemiological sample of healthy children aged 7-9 years (n = 395) from mainstream UK schools. In a randomized controlled trial, we then explored whether 16-week supplementation (600 mg day(-1) ) with algal docosahexaenoic acid versus placebo might improve sleep in a subset of those children (n = 362) who were underperforming in reading. In a randomly selected subsample (n = 43), sleep was also assessed objectively via actigraphy. In 40% of the epidemiological sample, Child Sleep Habits Questionnaire scores indicated clinical-level sleep problems. Furthermore, poorer total sleep disturbance scores were associated weakly but significantly with lower blood docosahexaenoic acid (std coeff. -0.105*) and a lower docosahexaenoic acid : arachidonic acid ratio (std coeff. -0.119**). The treatment trial showed no significant effects on subjective sleep measures. However, in the small actigraphy subsample, docosahexaenoic acid supplementation led on average to seven fewer wake episodes and 58 min more sleep per night. Cautiously, we conclude that higher blood levels of docosahexaenoic acid may relate to better child sleep, as rated by parents. Exploratory pilot objective evidence from actigraphy suggests that docosahexaenoic acid supplementation may improve children's sleep, but further investigations are needed.
© 2014 The Authors. Journal of Sleep Research published by John Wiley & Sons Ltd on behalf of European Sleep Research Society.

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Keywords:  actigraphy; children; docosahexaenoic acid; omega-3; randomized controlled trial; sleep

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Year:  2014        PMID: 24605819      PMCID: PMC4263155          DOI: 10.1111/jsr.12135

Source DB:  PubMed          Journal:  J Sleep Res        ISSN: 0962-1105            Impact factor:   3.981


Introduction

Numerous studies have found that good sleep is essential for children's general health, cognitive functioning and emotional wellbeing (Ivanhoe ; Liu ). However, epidemiological studies indicated that lack of sleep in children is common in most western countries (Smaldone ). Substantial evidence now links poor sleep with attention deficit/hyperactivity disorder (ADHD) (Cortese ; Wiggs ), as well as with other difficulties with behaviour and learning in children (Dewald ; Kopasz ). Similarly, adequate dietary intakes of omega-3 and omega-6 fatty acids are fundamental to health, wellbeing and cognitive performance in both children and adults, as they and their derivatives are required for the proper structure and function of almost all cells and systems in the brain and body. However, most modern, western-type diets are seriously lacking in the long-chain omega-3 fatty acids [eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA)] that are most important for physical and mental wellbeing. Deficiencies in these omega-3s have been repeatedly implicated in ADHD and related child behaviour and learning difficulties (Richardson, 2006), and some evidence suggests benefits from supplementation with omega-3 fatty acids not only in these domains (Bloch and Qawasmi, 2011; Tan ), but also for behaviour and cognition in children from the general school population (Richardson ). Furthermore, very low blood levels of EPA and DHA were found in a recent study of healthy UK schoolchildren (Montgomery ). The importance of long-chain polyunsaturated fatty acids (LC-PUFA) for sleep initiation and maintenance has long been known (Yehuda ). For example, arachidonic acid (AA) is required as a precursor for the sleep-promoting prostaglandin D2 (Urade and Hayaishi, 2011), and DHA also appears essential for sleep regulation (Lavialle ). Evidence suggests that the balance of DHA and AA in the pineal gland regulates melatonin production (Zaouali-Ajina ), with higher levels of DHA relating to increased levels of melatonin (Zhang ). In the underlying processes DHA seems needed for one of the enzymes which transforms serotonin into melatonin (Catala, 2010; Peuhkuri ). In line with these mechanisms, epidemiological studies find higher levels of omega-3 fatty acids associated with fewer sleep problems in infants (Cheruku ) and adults (Papandreou, 2013) and children with ADHD (Burgess ). DHA was also associated with less severe sleep apnea (Ladesich ). Trials among clinical populations suggest that LC-PUFA supplementation might improve sleep. Treatments including omega-3 and omega-6 fatty acids with other nutrients improved sleep quality (Yehuda ) and reduced sleep disorders (Huss ) among children with behavioural problems. From trials using fatty acids alone, it appears that omega-3 fatty acids might be more effective for sleep problems. A recent RCT with insomnia patients found little or no benefit from supplementation with the omega-6 linoleic acid (LA) (Cornu ). In contrast, a trial among pregnant women found improved sleep patterns in infants born following omega-3 DHA supplementation (Judge ). To date, however, very little is known about the relationship of LC-PUFA and sleep in healthy children. In addition, given treatment formulations that combine fatty acids (FA) with other supplements, current evidence is insufficient to demonstrate benefits from DHA supplementation alone for sleep in children.

Objectives

The aims of this study were twofold: (1) to explore associations between child sleep and biochemical measures of blood fatty acid status; and (2) to assess the effect of DHA supplementation on children's sleep.

Hypotheses

On the basis of the existing literature we predicted that: (1) higher blood concentrations of long-chain omega-3 fatty acids would be associated with better child sleep; and (2) DHA supplementation would lead to improvements in child sleep.

Methods

Study design

The Docosahexaenoic Acid (DHA) Oxford Learning and Behaviour (DOLAB) Study was designed in two stages. Stage 1 was an epidemiological study of blood fatty acid status in relation to learning and behaviour. This formed the screening stage of the subsequent intervention trial. Stage 2 was a double-blind, fixed-dose, parallel-group randomized controlled trial (RCT) of supplementation with DHA versus placebo over 16 weeks.

Population

Epidemiological sample – stage 1

Healthy children were invited from Oxfordshire (UK) mainstream primary schools between January 2009 and November 2010 on the basis of Local Authority data of all children in the county (Montgomery ). Children from year groups 3, 4 and 5 (typically aged 7–9 years) were eligible if they had no significant learning difficulty [i.e. no statement of ‘special educational needs’ (Department of Education, 2001)], but were thought to have below-average literacy skills according to nationally standardized assessments at age 7 [Key Stage 1 categories: 2C, 1 and W (Standards and Testing Agency, 2009)] or teachers' current judgements. Children were excluded for specific medical disorders (e.g. visual or hearing impairment), first language other than English or if schools felt their social/family circumstances would make inclusion inappropriate.

Intervention sample – stage 2

From the epidemiological sample in stage 1362 children were included if they were underperforming in reading (≤33rd-centile) on age-standardized testing (British Ability Scales II) but were otherwise healthy, and not taking fatty acid supplements, nor eating fish more than twice a week (Richardson ). Children were excluded if taking any medication thought likely to affect behaviour (e.g. Ritalin). A random subsample was drawn from this population for the objective measurement of sleep using actigraphy. The inclusion and exclusion criteria reflected clinical and research experience that this age and ability group was most likely to show significant improvements in literacy skills – the primary outcome – following omega-3 supplementation, without confounding effects due to medical or behavioural conditions (Richardson and Montgomery, 2005). At neither stage were children selected on the basis of a sleep problem. Consent for every stage of the study was obtained in advance. Fig. 1 provides details of the sample.
Figure 1

Flowchart.

Flowchart.

Sample size

The RCT sample was powered based on the primary outcome ‘reading ability’, which indicated that 180 participants per group would provide 90% power with an α of 5%, for an effect size of r = −0.169 (Cohen's d = −0.343) (Richardson ).

Randomization

Randomization was conducted by the University of Oxford's Centre for Statistics in Medicine, using minimization to ensure balanced treatment groups for sex and school, and including a random subsample of children whose sleep was assessed objectively using actigraphy.

Treatment

Active treatment in stage 2 was a fixed dose of 600 mg day−1 of algal DHA, delivered in three 500-mg capsules. Placebo treatment consisted of three 500-mg capsules per day containing corn/soybean oil, matched with the active treatment for taste and colour (both treatments were provided by DSM Nutritional Products, Columbia, MD, USA). Treatments were dispensed in schools (during school days) and by parents (during weekends and school holidays), with instructions that three capsules should be taken daily with lunch. Parents and schools were given diaries to record capsule consumption, to encourage compliance and for monitoring purposes.

Outcomes: subjective and objective sleep

Sleep was measured subjectively via a parent-report questionnaire in all children at stage 1, and again postintervention for children who entered the RCT. In addition, objective sleep was measured via actigraphy at baseline and postintervention in a random subsample of the RCT children.

Subjective sleep – Child Sleep Habits Questionnaire (CSHQ)

The CSHQ is a well-validated parent-reported screening instrument for behaviourally and medically based sleep problems, designed and validated specifically for school children aged 4–10 years (Owens ). Parents/carers are asked to rate their child's sleeping habits over a recent typical week on 45 items using a three-point scale (3 = usually/2 = sometimes/1 = rarely/never). Responses are scored to derive eight subscales (bedtime resistance; sleep duration; parasomnias; sleep disturbed breathing; night wakings; daytime sleepiness; sleep anxiety and sleep onset delay) and one total sleep disturbance scale. Post-hoc, we considered children with total CSHQ scores >41 to be a subgroup with clinical-level sleep problems (Owens ), i.e. meeting criteria for clinical ‘caseness’.

Objective Sleep – actigraphy and sleep diaries

Sleep duration, wake episodes and latency were recorded for 5 nights pre- and postintervention via actigraphy (MicroMini-Motionlogger™, Ambulatory Monitoring Inc., Ardsley, NY, USA), which has good properties in detecting sleep in children (Meltzer ). To provide sufficient measurement reliability, the following variables are reported as average times/scores over five nights (Huang ): Sleep onset and offset times Sleep duration in minutes (total sleep period between onset and offset) Minutes awake between sleep onset and offset Sleep efficiency (total sleep time divided by time in bed) Sleep latency (minutes taken to fall asleep) Number of night wakings after sleep onset Actigraphy data were augmented by parents completing a sleep diary detailing their child's bedtime and rising time, any intervals when the actigraph was removed and their perception of the child's periods of sleep.

Blood fatty acid measures

Blood samples were taken by trained researchers via a finger-stick method (Bailey-Hall ) [also see Montgomery ]. Blood fatty acid concentrations were assessed using gas-chromatography of total lipids in capillary whole blood (Ichihara ), expressed as a weight percentage.

Other measures

Demographic variables

The children's age, sex, ethnicity and eligibility for free school meals (FSM) were obtained from Local Authority or school data, with FSM used as a proxy for socioeconomic status (SES).

Health status, medication and fish/supplement consumption

This information was collected by questionnaire from parents/guardians. In addition, weight was measured at baseline by researchers.

Statistical methods

Item-missing data on the CSHQ were imputed using the mean value of the respective subscale. If all observations in a subscale were missing, although ≥80% of the total CSHQ had been rated, the imputed value was the mean of that subscale for the whole sample. For calculating the total sleep disturbance score the mean of all non-duplicated items in the subscales were used, in keeping with existing literature. The raw actigraphy data, zero-crossing-mode counts, were scored with the Sadeh algorithm (Sadeh ) using the Action4 software (version 1.16; Ambulatory Monitoring Inc., Ardsley, NY, USA), which has well-validated benchmark properties in detecting sleep patterns compared with polysomnography (Tilmanne ). In the epidemiology sample, associations were examined with Spearman's rank correlations, accounting for distributional problems, and with ordinary least squares (OLS) regressions with bootstrapped standard errors controlling for demographic differences. In the intervention sample, group differences in change-scores (postintervention minus baseline scores) were analysed using independent t-tests or Wilcoxon's rank sum tests, depending on the normality of the data (Shapiro–Wilks). These analyses were conducted on an intention-to-treat principle (ITT), i.e. including all children randomized, using mean imputation. Post-hoc subgroup analyses were also conducted on children for whom parent-ratings indicated clinical sleep problems at baseline. All analyses were conducted in Stata version 11.2 (StataCorp., College Station, TX, USA). The syntax used is available on request.

Ethics

The study was approved by the Milton Keynes NHS Research Ethics Committee (08/H0603/49). Written informed consent was gained from parents/carers and verbal assent from the children, prior to initial screening. Trial protocol and the Consolidated Standards Of Reporting Trials (CONSORT) checklist are available at: Protocol: doi: 10.1371/journal.pone.0043909.s001; Checklist: doi: 10.1371/journal.pone.0043909.s002. The trial was registered with ClinicalTrials.gov (NCT01066182) and Controlled-Trials.com (ISRCTN99771026).

Results

Samples

Parents of 675 children attending 74 Oxfordshire schools consented to their child's participation (see Fig. 1). Blood samples were provided by 596 children, although 103 of these samples were either too small or were lost in the chemical preparation process. Overall, blood data from 493 children were available for analysis. Further, missing data on the subjective sleep measure meant that both blood and sleep data were available for 395 children. A total of 362 of the children in stage 1 met inclusion criteria to take part in the randomized controlled trial assessing the effects of 16 weeks' supplementation with 600 mg day−1 of DHA or placebo.

Actigraphy subsample

It was only possible to justify this objective assessment on a random subset of children from the treatment trial, given resource constraints and the demands that actigraphy places on children and parents. Forty-three children took part in this exploratory pilot study.

Post-hoc subgroup with sleep problems

A total of 188 children were identified whose parent-rated sleep at baseline suggested sleep problems (CSHQ total sleep disturbance score >41). Additional post-hoc subgroup analyses on an ITT basis were carried out on these children for their potential clinical relevance.

Sample characteristics – demographics

Table 1 reports the demographic characteristics of the epidemiology sample (n = 395), the RCT sample (n = 362), the actigraphy sample (n = 43) and the RCT subgroup of children with sleep problems (CSHQ total sleep disturbance score >41, n = 188, includes imputation). The samples were compared for any differences in their demographic make-up.
Table 1

Demographic characteristics of the samples analysed

Epidemiology sample (CSHQ and blood data available, = 395)RCT sample (= 362)Actigraphy sample (= 43)CSHQ caseness* subgroup of RCT (= 188)
Sex, n (%)
 Female177 (44.81)170 (46.96)21 (48.84)99 (52.38)
 Male218 (55.19)192 (53.04)22 (51.16)89 (47.09)
Age in years, n (%)
 6/7 years111 (28.1)80 (22.1)9 (20.93)39 (20.63)
 8 years143 (36.2)137 (37.85)18 (41.86)69 (36.51)
 9/10 years141 (35.7)145 (40.06)16 (37.21)80 (42.33)
Weight, kg
 Mean (SD)30.72 kg (7.68)30.86 kg (7.54)33.12 kg (8.24)30.72 kg (7.48)
Free school meals, n (%)
 Not eligible347 (87.85)289 (79.83)32 (74.42)138 (73.02)
 Eligible48 (12.15)73 (20.17)11 (25.58)50 (26.46)
Ethnicity, n (%)
 White362 (91.65)330 (91.16)41 (95.35)171 (90.48)
 Mixed12 (3.04)16 (4.42)1 (2.33)8 (4.23)
 Asian6 (1.52)2 (0.55)0 (0)2 (1.06)
 Black1 (0.25)1 (0.28)0 (0)1 (0.53)
 Other5 (1.27)7 (1.93)1 (2.33)3 (1.59)
 Missing information9 (2.28)6 (1.8)0 (0)3 (1.59)

RCT, randomized clinical trial; SD, standard deviation; CSHQ, Child Sleep Habits Questionnaire.

‘Caseness’: clinical level sleep problems as indicated by total CSHQ score >41.

Demographic characteristics of the samples analysed RCT, randomized clinical trial; SD, standard deviation; CSHQ, Child Sleep Habits Questionnaire. ‘Caseness’: clinical level sleep problems as indicated by total CSHQ score >41. Some significant differences were found, largely reflecting the differing entry criteria for the RCT versus the epidemiological study (see Appendix 1, Table 7). For example, fewer parents of low-income families gave consent to their child taking part in the study at all. However, proportionally more such children were eligible for the RCT owing to their poor reading ability.
Table 7

Tests for demographic differences between samples

Consent versus RCT sampleConsent versus epidemiology sampleRCT versus actigraphy sampleRCT versus epidemiology sampleRCT versus caseness RCT (CSHQ > 41)
Directionχ2P-valueDirectionχ 2P-valueχ 2P-valueDirectionχ 2P-valueDirectionχ 2P-value
Sex, n (%)2.250.1340.10.750.070.7932.620.455RCT < caseness5.10.023*
Age in years, n (%)Consent < RCT10.790.005**0.470.7890.340.84511.90.0641.070.059
Free school meals, n (%)Consent < RCT4.370.037*Consent > epid17.840.000***0.890.346RCT > Epid22.330.000***RCT < caseness11.420.002**
Ethnicity, n (%)Consent < RCT10.320.035* 2.30.681 0.990.911 12.920.375 3.020.552

RCT, randomized controlled trial.

P < 0.001;

P < 0.01;

P < 0.05.

χ2 tests.

The significant differences relating to sleep problems appear when contrasting the subgroup of children with a CSHQ total of >41 with the overall RCT sample. This subgroup contains significantly more girls (χ2 = 5.10, P < 0.023) and more children with free school meal entitlement (χ2 = 11.42, P < 0.002). Furthermore, the actigraphy subsample had a higher average weight than the RCT sample (t = −2.08, P < 0.038).

Epidemiological results (n = 395)

Subjective sleep

Parent-rated sleep quality as measured by the CSHQ was found to be poor. The average score of the total sleep disturbance scale was 41.05 [standard deviation (SD = 6.98] and ranged up to 69 (Fig. 2). Almost 41% (n = 161) of the children had a total sleep disturbance score above the cut-off for clinical caseness (see Appendix 2, Table 8).
Figure 2

Child Sleep Habits Questionnaire (CSHQ) total sleep disturbance distribution in the epidemiology sample.

Table 8

Descriptive values for the CSHQ subscales in the DOLAB study

CSHQ epidemiology sampleCSHQ caseness subgroup
MeanSDRangeMeanSDRange
Bedtime resistance7.111.956–178.052.226–17
Sleep onset delay1.660.791–31.910.691–3
Sleep duration3.841.343–94.41.333–9
Sleep anxiety5.181.544–125.751.554–11
Night wakings3.661.133–93.961.083–9
Parasomnias8.721.967–179.361.847–17
Sleep disturbed breathing3.440.923–93.771.043–9
Daytime sleepiness9.773.046–2011.242.76–19
Total sleep disturbance41.056.9831–6945.85.6541.34–67
CSHQ total sleep disturbance >41= 395= 161

CSHQ, Child Sleep Habits Questionnaire; SD, standard deviation; DOLAB, Docosahexaenoic Acid (DHA) Oxford Learning and Behaviour Study.

Child Sleep Habits Questionnaire (CSHQ) total sleep disturbance distribution in the epidemiology sample.

Fatty acid concentrations

The average DHA (22 : 6, n-3) concentration was 1.93% (SD = 0.54) and total omega-3 fatty acids were 4.11% (SD = 0.85) in the epidemiological sample (for full results see Appendix 3, Table 9). As discussed elsewhere, this is low from a health perspective (Montgomery ).
Table 9

Blood fatty acid levels in the CSHQ epidemiology sample

MeanSDRange
DHA (22 : 6)1.930.540.9–3.8
DPA (22 : 5)1.030.280.53–3.62
EPA (20 : 5)0.560.210–2.03
ALA (18 : 3)0.550.260–2.32
Total omega-34.110.852.19–8.01
DPA (n-6) (22 : 5)0.250.10–0.63
Adrenic (22 : 4)1.100.220.42–1.81
AA (20 : 4)8.181.314.3–11.73
DGLA (20 : 3)1.550.340.81–2.9
GLA (18 : 3)0.320.240–1.41
LA (18 : 2)19.222.3312.66–26.08
Total omega-630.883.3320.61–39.79
Omega-3 index2.490.671.26–5.24
Ratio DHA : AA0.240.060.14–0.53
Ratio EPA : AA0.070.030–0.24

n = 395

CSHQ, Child Sleep Habits Questionnaire; SD, standard deviation; ALA, α-linolenic acid; EPA, eicosapentaenoic acid; DPA, docosapentaenoic acid (both omega-3 and omega-6); DHA, docosahexaenoic acid; LA, linoleic acid; GLA, gamma-linolenic acid; DGLA, dihomo-gamma-linolenic acid; AA, arachidonic acid.

Relationships between subjective sleep and fatty acids

The associations between blood fatty acid concentrations and subjective measures of sleep are reported in Table 2. DHA was related significantly and negatively to the total sleep disturbance score (ρ = −0.131, P < 0.009), bedtime resistance (ρ = −0.113, P < 0.025) and parasomnias (ρ = −0.106, P < 0.035). The ‘Omega-3 index’ (EPA + DHA) was correlated negatively with bedtime resistance (ρ = −0.109, P < 0.031). The DHA : AA ratio was associated significantly and negatively with the total sleep disturbance score (ρ = −0.133, P < 0.008). Concentrations of total omega-3 were correlated negatively with scores on the sleep duration subscale (ρ = −0.103, P < 0.04).
Table 2

Epidemiology – correlations† between subjective sleep (CSHQ) and blood fatty acids (LC-PUFA)‡

Fatty acidsBedtime resistanceSleep onset delaySleep durationSleep anxietyNight wakingsParasomniaSleep disturbed breathingDaytime sleepinessTotal sleep disturbance
ρP-valueρP-valueρP-valueρP-valueρP-valueρP-valueρP-valueρP-valueρP-value
DHA (22 : 6)−0.1130.025*−0.0330.515−0.0680.181−0.0610.224−0.0230.644−0.1060.035*−0.0520.304−0.0860.086−0.1310.009**
DPA (22 : 5)−0.0090.8540.0020.976−0.040.4250.0290.5630.0230.6540.0320.5230.050.3220.0120.8080.0430.395
EPA (20 : 5)−0.0180.7230.020.6990.0020.972−0.0190.7080.0670.1840.0920.0680.0140.7820.0170.7350.0630.214
ALA (18 : 3)−0.0210.6790.0010.986−0.0390.4360.040.4320.0190.7010.0130.7980.0060.907−0.0180.7280.0240.63
Total omega-3−0.0980.052−0.0160.746−0.1030.04*−0.0030.9490.0350.486−0.0350.4930.0050.917−0.0550.274−0.0520.303
DPA (n-6) (22 : 5)−0.0140.782−0.0170.7380.0060.898−0.030.5480.0710.1570.0040.944−0.010.846−0.0470.35−0.0280.585
Adrenic (22 : 4)−0.0090.860.0130.7980.0490.3270.0020.9710.0440.3850.0020.9660.0710.16−0.0480.3460.0050.92
AA (20 : 4)−0.0450.373−0.0220.657−0.010.848−0.0090.8650.0360.470.0050.9210.0180.726−0.0440.387−0.0270.595
DGLA (20 : 3)0.0160.7490.0320.5260.040.428−0.0110.83−0.0070.8870.0340.497−0.0350.488−0.0160.7460.0070.891
GLA (18 : 3)−0.0290.5720.0310.5420.0050.9230.0440.3850.0070.8830.010.844−0.0010.99−0.0280.5840.0160.748
LA (18 : 2)0.0000.995−0.0140.777−0.0420.4030.0520.3030.0020.975−0.0570.26−0.0830.1−0.0770.124−0.0550.279
Total omega-6−0.0270.586−0.020.689−0.0220.6570.0440.3810.0240.637−0.0310.542−0.0370.463−0.0680.179−0.0410.422
Omega-3 index§−0.1090.031*−0.0260.602−0.0530.293−0.0610.2240.0070.896−0.0510.313−0.0380.454−0.0640.206−0.0890.076
Ratio DHA : AA−0.0930.064−0.0370.466−0.0850.093−0.0580.25−0.0530.293−0.0940.062−0.0780.123−0.080.111−0.1330.008**
Ratio EPA : AA0.0290.5670.040.431−0.0010.989−0.0110.8310.0380.4560.0840.0950.0120.8180.0420.4090.0780.124

Fatty acid acronyms: ALA, α-linolenic acid; EPA, eicosapentaenoic acid; DPA, docosapentaenoic acid (both omega-3 and omega-6); DHA, docosahexaenoic acid; LA, linoleic acid; GLA, gamma-linolenic acid; DGLA, dihomo-gamma-linolenic acid; AA, arachidonic acid; CSHQ, Child Sleep Habits Questionnaire.

n = 395.

P < 0.01;

P < 0.05.

Spearman's rank correlations.

The strongest physiological rationale for this research exists for omega-3 and omega-6 [long-chain polyunsaturated fatty acids (LC-PUFA)], hence only results for these fatty acids are reported here.

This broadly corresponds to the ‘Omega-3 index’, a well-validated measure of cardiovascular risk in adults. However, values in this study were from whole blood, whereas the ‘Omega-3 index’ is typically calculated from EPA + DHA in red cell membranes (Harris and Klurfeld, 2011).

Epidemiology – correlations† between subjective sleep (CSHQ) and blood fatty acids (LC-PUFA)‡ Fatty acid acronyms: ALA, α-linolenic acid; EPA, eicosapentaenoic acid; DPA, docosapentaenoic acid (both omega-3 and omega-6); DHA, docosahexaenoic acid; LA, linoleic acid; GLA, gamma-linolenic acid; DGLA, dihomo-gamma-linolenic acid; AA, arachidonic acid; CSHQ, Child Sleep Habits Questionnaire. n = 395. P < 0.01; P < 0.05. Spearman's rank correlations. The strongest physiological rationale for this research exists for omega-3 and omega-6 [long-chain polyunsaturated fatty acids (LC-PUFA)], hence only results for these fatty acids are reported here. This broadly corresponds to the ‘Omega-3 index’, a well-validated measure of cardiovascular risk in adults. However, values in this study were from whole blood, whereas the ‘Omega-3 index’ is typically calculated from EPA + DHA in red cell membranes (Harris and Klurfeld, 2011).

Subjective sleep and fatty acids – controlling for demographic differences

In Table 3 we report the associations between subjective sleep and blood fatty acids, while controlling for demographic differences between the children in terms of age, gender, weight and SES. Consistent with the uncontrolled correlation results we found that:
Table 3

Epidemiology – standardized regression results† for subjective sleep (CSHQ) and blood fatty acids (LC-PUFA)‡ controlling for demographics§

Fatty acidsBedtime resistanceSleep onset delaySleep durationSleep anxietyNight wakingsParasomniaSleep disturbed breathingDaytime sleepinessTotal sleep disturbance
Coeff.P-valueCoeff.P-valueCoeff.P-valueCoeff.P-valueCoeff.P-valueCoeff.P-valueCoeff.P-valueCoeff.P-valueCoeff.P-value
DHA (22 : 6)−0.0780.052−0.0270.6−0.0820.076−0.050.294−0.0150.757−0.0780.131−0.0390.447−0.0570.225−0.1050.026*
DPA (22 : 5)0.0760.3750.0090.87−0.0420.4010.0870.0630.0080.8770.1070.043*0.0960.0560.0510.4630.0930.057
EPA (20 : 5)−0.0190.6670.0570.313−0.0320.5060.0320.6220.1050.1460.1630.007**00.9960.0030.9480.0630.284
ALA (18 : 3)0.0120.83900.996−0.0770.0940.1140.047*0.0770.279−0.0030.964−0.0370.347−0.0140.7890.0030.96
Total omega-3−0.0230.646−0.0010.979−0.0970.0680.0480.3770.0560.3680.0330.5650.0020.973−0.0170.741−0.0110.848
DPA (n-6) (22 : 5)0.0440.367−0.0530.3030.0240.6380.0170.7220.0720.1730.0430.377−0.0240.7190.0140.7810.0370.48
Adrenic (22 : 4)0.0340.483−0.0120.8250.0860.1210.020.6860.0440.408−0.0070.8870.070.226−0.0220.640.0320.539
AA (20 : 4)0.0170.724−0.0250.6430.030.5830.0120.8140.030.5070.0020.9630.0270.65400.9930.0110.816
DGLA (20 : 3)0.0530.2640.0450.3910.0590.2410.0070.89−0.0220.630.0330.455−0.0280.5670.0230.6610.0430.37
GLA (18 : 3)0.0110.8480.0280.612−0.0010.990.0920.077−0.0010.978−0.0020.974−0.0370.3530.0050.9140.0170.748
LA (18 : 2)0.0670.169−0.040.4550.0180.7180.0310.538−0.0040.929−0.0520.326−0.040.588−0.0240.658−0.0120.827
Total omega-60.0620.2−0.0320.5510.0420.4260.0390.4340.0160.747−0.0240.653−0.0140.835−0.0150.7790.010.852
Omega-3 index−0.0680.089−0.0030.949−0.0760.108−0.030.580.0210.713−0.0120.839−0.0310.534−0.0450.351−0.0650.215
Ratio DHA : AA−0.090.018*−0.0190.709−0.10.018*−0.060.172−0.0330.523−0.0850.092−0.0550.289−0.0620.185−0.1190.009**
Ratio EPA : AA−0.0390.3590.0510.38−0.0460.3190.0180.7670.0870.230.1620.007**−0.0040.944−0.0090.8640.0470.43

Fatty acid acronyms: ALA, α-linolenic acid; EPA, eicosapentaenoic acid; DPA, docosapentaenoic acid (both omega-3 and omega-6); DHA, docosahexaenoic acid; LA, linoleic acid; GLA, gamma-linolenic acid; DGLA, dihomo-gamma-linolenic acid; AA, arachidonic acid; CSHQ, Child Sleep Habits Questionnaire.

n = 395.

P < 0.01;

P < 0.05.

OLS regressions with bootstrapped standard errors (seed 14 141, 500 repetitions) and standardized coefficients: a 1 standard deviation change in the fatty acid corresponds to the reported change in the sleep measure.

The strongest physiological rationale for this research exists for omega-3 and omega-6 [long-chain polyunsaturated fatty acids (LC-PUFA)], hence only results for these fatty acids are reported here.

The analyses control for gender, age in years, weight, socio-economic status (entitlement to free school meals); unstandardized results including coefficients for the demographic variables are listed in Appendix 5, Tables19.

Epidemiology – standardized regression results† for subjective sleep (CSHQ) and blood fatty acids (LC-PUFA)‡ controlling for demographics§ Fatty acid acronyms: ALA, α-linolenic acid; EPA, eicosapentaenoic acid; DPA, docosapentaenoic acid (both omega-3 and omega-6); DHA, docosahexaenoic acid; LA, linoleic acid; GLA, gamma-linolenic acid; DGLA, dihomo-gamma-linolenic acid; AA, arachidonic acid; CSHQ, Child Sleep Habits Questionnaire. n = 395. P < 0.01; P < 0.05. OLS regressions with bootstrapped standard errors (seed 14 141, 500 repetitions) and standardized coefficients: a 1 standard deviation change in the fatty acid corresponds to the reported change in the sleep measure. The strongest physiological rationale for this research exists for omega-3 and omega-6 [long-chain polyunsaturated fatty acids (LC-PUFA)], hence only results for these fatty acids are reported here. The analyses control for gender, age in years, weight, socio-economic status (entitlement to free school meals); unstandardized results including coefficients for the demographic variables are listed in Appendix 5, Tables19.
Table 19

Full results–OLS regression model controlling for demographics: CSHQ total sleep disturbance score

Fatty acidGender (f/m)Age (years)Weight (kg)Socio-economic status
Std coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd Coeff.Raw Coeff.P-valueStd Coeff.Raw Coeff.P-value
DHA (22 : 6)−1.35−0.110.026*−0.23−0.100.738−0.39−0.180.390.06−1.500.2084.08−0.070.002**
DPA (22 : 5)2.240.090.057−0.460.160.505−0.300.300.5050.062.490.2524.070.110.002**
EPA (20 : 5)2.070.060.284−0.380.150.588−0.340.270.4380.062.300.2194.280.100.001**
ALA (18 : 3)0.080.000.96−0.350.010.619−0.370.010.4070.060.080.1954.270.000.001**
Total omega-3−0.09−0.010.848−0.33−0.010.635−0.37−0.010.4070.06−0.100.1914.270.000.001**
DPA (n-6) (22 : 5)2.470.040.48−0.440.180.525−0.390.320.3910.072.740.1694.210.120.001**
Adrenic (22 : 4)1.000.030.539−0.430.070.542−0.360.130.4230.061.110.1974.260.050.001**
AA (20 : 4)0.060.010.816−0.370.000.595−0.360.010.4250.060.070.1924.280.000.001**
DGLA (20 : 3)0.860.040.37−0.460.060.521−0.360.110.4230.060.950.2114.310.040.001**
GLA (18 : 3)0.490.020.748−0.370.040.596−0.370.060.4130.060.550.1974.290.020.001**
LA (18 : 2)−0.04−0.010.827−0.340.000.624−0.37−0.010.4070.06−0.040.2094.290.000.001**
Total omega-60.020.010.852−0.360.000.607−0.360.000.4210.060.020.1884.270.000.001**
Omega-3 index−0.67−0.070.215−0.28−0.050.688−0.39−0.090.3910.06−0.740.1914.18−0.030.002**
Ratio DHA : AA−13.39−0.120.009**−0.37−0.960.59−0.32−1.760.4780.06−14.860.1744.05−0.640.002**
Ratio EPA : AA11.940.050.43−0.320.860.645−0.371.570.4070.0613.260.224.260.570.001**

CSHQ, Child Sleep Habits Questionnaire; OLS, ordinary least squares; ALA, α-linolenic acid; EPA, eicosapentaenoic acid; DPA, docosapentaenoic acid (both omega-3 and omega-6); DHA, docosahexaenoic acid; LA, linoleic acid; GLA, gamma-linolenic acid; DGLA, dihomo-gamma-linolenic acid; AA, arachidonic acid.

On the basis of bootstrapped standard errors, 500 repetitions, seed 14 141.

P < 0.05,

P < 0.01.

DHA was related significantly and negatively with the total sleep disturbance score (std coeff. −0.105, P < 0.026); and The DHA : AA ratio had a significant and negative association with the total sleep disturbance score (std coeff. −0.119, P < 0.009). The other correlations were not robust in the light of demographic differences in the sample. However, additional significant relationships after controlling for these differences were found for the DHA : AA ratio with bedtime resistance (std coeff. −0.09, P < 0.018) and sleep duration (std coeff. −0.1, P < 0.018). Contrary to expectations, positive relationships were found for DPA (n-3) and parasomnias (std coeff. 0.107, P < 0.043), EPA and parasomnias (std coeff. 0.163, P < 0.007) and the EPA : AA ratio and parasomnias (std coeff. 0.162, P < 0.007). Additionally, the short-chain omega-3 ALA was associated positively with sleep anxiety (0.114, P < 0.047; for full regression results see Appendix 5, Tables19).

RCT results (n = 362)

Tables4 and 5 report the baseline and postintervention means, change scores and statistical test results for group differences for both the subjective and objective sleep measures on an ITT basis.
Table 4

CSHQ mean scores and group comparisons (ITT, n = 362)

Group mean scores on CSHQ subscales (SD)Change scores (SD) Baseline versus postinterventionComparisons Active versus placebo 0–16-week Diff.
BaselinePostintervention (16 weeks)
Active (= 180) Imputed = 34Placebo (= 182) Imputed = 41Active (= 180) Imputed = 38Placebo (= 182) Imputed = 35Active (= 180)Placebo (= 182)Z-valueP-value
Bedtime resistance7.12 (1.885)7.38 (1.895)6.99 (1.575)7.33 (2.02)−0.13 (1.845)−0.05 (1.856)0.9980.318
Sleep onset delay1.67 (0.72)1.66 (0.716)1.66 (0.676)1.62 (0.677)−0.01 (0.695)−0.04 (0.66)0.710.478
Sleep duration3.94 (1.269)3.77 (1.126)3.94 (1.214)3.88 (1.202)0.00 (1.338)0.11 (1.198)−0.7240.469
Sleep anxiety5.13 (1.22)5.34 (1.573)5.10 (1.303)5.09 (1.469)−0.03 (1.396)−0.26 (1.358)1.1630.245
Night wakings3.58 (0.952)3.69 (0.997)3.46 (0.721)3.63 (1.033)−0.12 (0.869)−0.06 (1.026)0.190.849
Parasomnias8.84 (1.842)8.6 (1.578)8.58 (1.457)8.6 (1.432)−0.26 (1.755)0.00 (1.565)−1.2940.196
Sleep disturbed breathing3.57 (1.016)3.49 (0.754)3.51 (0.909)3.45 (0.768)−0.06 (0.974)−0.05 (0.791)0.2320.816
Daytime sleepiness9.74 (2.763)9.93 (2.81)9.56 (2.555)9.69 (2.766)−0.18 (2.284)−0.24 (2.753)−0.1280.898
Total sleep disturbance41.3 (6.842)41.38 (6.177)40.48 (6.166)40.87 (6.084)−0.82 (6.032)−0.51 (5.364)−0.6820.495

ITT, mean imputation of missing observations; CSHQ, Child Sleep Habits Questionnaire; SD, standard deviation.

Table 5

Actigraphy mean scores and group comparisons (ITT, n = 43)

Group means of the actigraphy measures (SD)Change scores (SD) Baseline versus postinterventionComparisons Active versus placebo 0–16-week Diff.
BaselinePostintervention (16 weeks)
Active (= 19) Imputed = 2Placebo (= 24) Imputed = 0Active (= 19) Imputed = 4Placebo (= 24) Imputed = 5Active (= 19)Placebo (= 24)Z/t-valueP-value
Time child fell asleep20:27 (43 min)20:32 (51 min)21:3 (50 min)20:47 (61 min)36 min (45 min)15 min (69 min)Z: 1.3330.183
Time child woke up7:31 (69 min)7:18 (72 min)7:31 (52 min)7:21 (76 min)0 min (91 min)3 min (66 min)t: −0.120.909
Minutes sleep duration654 min (59 min)640 min (49 min)639 min (52 min)611 min (66 min)−16 min (87 min)−29 min (53 min)t: 0.60.551
Minutes awake157 min (57 min)140 min (64 min)96 min (39 min)123 min (57 min)−61 min (74 min)−17 min (80 min)t: −1.880.068+
Minutes of sleep497 min (84 min)500 min (68 min)543 min (64 min)488 min (89 min)46 min (114 min)−12 min (95 min)Z: 2.1770.029*
Sleep efficiency (ratio)0.76 (0.092)0.78 (0.098)0.85 (0.061)0.8 (0.098)0.09 (0.117)0.01 (0.132)t: 2.0000.052+
Sleep latency (min)15 min (19 min)27 min (29 min)14 min (22 min)25 min (33 min)−1 min (33 min)−2 min (38 min)Z: .3790.704
Wake episodes22.92 (6.622)19.29 (8.459)12.86 (3.93)15.78 (6.521)−10.06 (8.39)−3.52 (8.092)t: −2.590.013*

ITT, mean imputation of missing observations.

P < 0.05,

P < 0.1.

Some variables are normal, some non-normally distributed; if Shapiro – Wilk was P > 0.05, a t-test was used, otherwise Wilcoxon's rank sum.

CSHQ mean scores and group comparisons (ITT, n = 362) ITT, mean imputation of missing observations; CSHQ, Child Sleep Habits Questionnaire; SD, standard deviation. Actigraphy mean scores and group comparisons (ITT, n = 43) ITT, mean imputation of missing observations. P < 0.05, P < 0.1. Some variables are normal, some non-normally distributed; if Shapiro – Wilk was P > 0.05, a t-test was used, otherwise Wilcoxon's rank sum.

DHA supplementation and changes in subjective sleep

During the 16-week intervention, slight but non-significant improvements were seen in both groups for all but one CSHQ subscale (sleep duration).

DHA supplementation and changes in objective sleep

Actigraphy results showed that total sleep duration increased by 58 min more in the active group than in controls (P < 0.029; Fig. 3). Correspondingly, the reduction in wake episodes was significantly greater in children on active treatment (seven fewer wake episodes per night, P < 0.013).
Figure 3

Total min sleep: baseline, postintervention and change by treatment group.

Total min sleep: baseline, postintervention and change by treatment group. With the less conservative alpha-level applied for exploratory analyses, group differences were also evident for changes in min awake (active versus placebo: −44 min, P < 0.068) and overall sleep efficiency (+8%, P < 0.052).

Post-hoc RCT subgroup results for children with clinical sleep problems (n = 188)

Approximately 52% (188) of the RCT children were found to have clinical-level sleep problems at baseline, i.e. CSHQ total sleep disturbance score >41 (see Appendix 2, Table 8). Table 6 shows the effects of treatment on CSHQ scores in this post-hoc subgroup. Ratings on the parasomnias subscale fell significantly more in the active treatment group than controls (P < 0.039), as did total sleep disturbance (P < 0.049).
Table 6

Post-hoc subgroup analysis – caseness: CSHQ mean scores and group comparisons (ITT, CSHQ total sleep disturbance >41, n = 188)

Group mean scores on CSHQ subscales (SD)Change scores (SD) Baseline versus postinterventionComparisons Active versus placebo 0–16-week Diff.
BaselinePostintervention (16 weeks)
Active (= 94) Imputed = 39Placebo (= 94) Imputed = 25Active (= 94) Imputed = 34Placebo (= 94) Imputed = 23Active (= 94)Placebo (= 94)Z-valueP-value
Bedtime resistance7.94 (2.234)8.17 (2.206)7.43 (1.892)8.01 (2.366)−0.51 (2.382)−0.16 (2.286)−0.6340.526
Sleep onset delay1.91 (0.694)1.91 (0.699)1.76 (0.675)1.83 (0.7)−0.15 (0.764)−0.08 (0.714)−0.1620.871
Sleep duration4.53 (1.379)4.26 (1.265)4.22 (1.395)4.17 (1.331)−0.32 (1.515)−0.09 (1.359)−1.5190.129
Sleep anxiety5.56 (1.276)5.95 (1.766)5.5 (1.503)5.52 (1.724)−0.06 (1.683)−0.43 (1.476)0.9040.366
Night wakings3.92 (1.113)4 (1.053)3.59 (0.783)3.88 (1.081)−0.33 (0.948)−0.12 (1.233)−0.4290.668
Parasomnias9.48 (1.951)9.25 (1.734)8.85 (1.586)9.21 (1.56)−0.63 (1.982)−0.04 (2.021)−2.059*0.039*
Sleep disturbed breathing3.86 (1.202)3.68 (0.858)3.68 (1.081)3.6 (0.946)−0.18 (1.187)−0.08 (0.97)−0.2310.817
Daytime sleepiness11.24 (2.542)11.24 (2.866)10.49 (2.707)10.49 (2.75)−0.75 (2.548)−0.74 (3.035)−0.3140.753
Total sleep disturbance45.98 (5.952)45.62 (5.347)43.04 (6.646)44.02 (5.992)−2.94 (6.834)−1.59 (6.404)−1.963*0.049*

ITT: mean imputation of missing observations. CSHQ, Child Sleep Habits Questionnaire; SD, standard deviation.

P < 0.05.

Wilcoxon's rank sum test.

Post-hoc subgroup analysis – caseness: CSHQ mean scores and group comparisons (ITT, CSHQ total sleep disturbance >41, n = 188) ITT: mean imputation of missing observations. CSHQ, Child Sleep Habits Questionnaire; SD, standard deviation. P < 0.05. Wilcoxon's rank sum test. The sample size for the subgroup of children with clinical-level sleep problems for which actigraphy results are available is very small (active = 11, placebo = 9). The analyses for this subgroup did not detect any significant changes following the intervention (see Appendix 4, Table 10).
Table 10

Actigraphy mean scores and group comparison (ITT, CSHQ > 41)

Group means of the actigraphy measures (SD)Change scores (SD) Baseline versus postinterventionComparisons Active versus placebo 0- to 16-week Diff.
BaselinePostintervention (16 weeks)
Active (= 11) Imputed = 2Placebo (= 9) Imputed = 0Active (= 11) Imputed = 4Placebo (= 9) Imputed = 3Active (= 11)Placebo (= 9)Z-Value/t-valueP-value
Time child fell asleep20:26 (35 min)20:26 (63 min)20:52 (39 min)21:01 (38 min)26 min (55 min)35 min (65 min)t: −0.340.74
Time child woke up7:22 (51 min)7:25 (39 min)7:31 (62 min)7:09 (28 min)8 min (86 min)−16 min (59 min)t: 0.730.476
Min sleep duration658 min (74 min)654 min (49 min)645 min (53 min)646 min (76 min)−13 min (106 min)−9 min (58 min)t: −0.10.919
Min awake156 min (54 min)148 min (59 min)101 min (42 min)115 min (31 min)−54 min (73 min)−33 min (64 min)t: −0.700.494
Min sleep502 min (101 min)507 min (70 min)543 min (70 min)531 min (86 min)41 min (131 min)24 min (94 min)Z: 0.7220.47
Sleep efficiency (ratio)0.76 (0.092)0.77 (0.095)0.84 (0.066)0.82 (0.05)0.08 (0.118)0.04 (0.104)t: 0.730.473
Sleep latency (min)17.07 (21.463)39.11 (38.998)8.88 (9.649)31.19 (27.909)−8.19 (28.036)−7.92 (37.848)t: −0.020.985
Wake episodes23.11 (5.21)21.1 (9.731)12.65 (3.283)16.63 (5.333)−10.46 (7.67)−4.48 (10.427)t: −01.480.157

CSHQ, Child Sleep Habits Questionnaire; SD, standard deviation. ITT, mean imputation of missing observations.

Some variables are normal, some non-normally distributed; if Shapiro–Wilk was P > 0.05 a t-test was used, otherwise Wilcoxon's rank sum.

Discussion

To the authors’ knowledge, this is the first published study investigating associations between LC-PUFA status and sleep, and the effect of DHA supplementation on sleep, in healthy children. This sample was selected for below-average reading at age 7, but had no medical diagnoses or learning disabilities. Previous research has demonstrated clear links between children's sleep and their physiological, mental and emotional health as well as their cognition and behaviour (Dewald ; Ivanhoe ; Liu ). Similarly, existing evidence points to associations between children's omega-3 LC-PUFA status and their cognition, as well as their behaviour. In terms of the objectives of this study, our main findings are as follows: In this large epidemiological sample of healthy children: Forty per cent of these children appear to have a clinical-level sleep problem, as defined by the cut-off for clinical caseness on the CSHQ. This is consistent with other findings for the general child population in the United States and Europe (Smaldone ). Higher blood DHA status was associated significantly with better sleep (std coeff.: −0.105, P < 0.026), as assessed by the total sleep disturbance scores from the CSHQ even when controlling for demographic variables. Correspondingly, associations between the DHA : AA ratio and total sleep disturbance score were found to be significant (std coeff.: −0.119, P < 0.009). No consistent associations were found between CSHQ scores and other fatty acids when controlling for demographic variables. In the subsequent RCT of supplementation with DHA: The pilot actigraphy subsample results indicated significant group differences in children's sleep following a 16-week treatment with 600 mg day−1 of DHA. Sleep duration improved by 58 min more in children receiving active treatment versus placebo, with fewer and shorter night-wakings and corresponding improvement in sleep efficiency. No significant effects of supplementation were evident on the subjective sleep measures for the whole sample. However, in a post-hoc subgroup with clinical-level sleep problems, DHA treatment did improve total sleep disturbance scores (Z = −1.963, P < 0.05).

Strengths and limitations

The findings presented in this paper should be interpreted cautiously, for a number of reasons. First, the epidemiological analysis finds relatively few statistically significant results in view of the number of relationships tested. While Bonferroni corrections would be inappropriate (owing to the strong intercorrelations always found between individual blood fatty acid values), further studies are warranted to confirm the inverse association observed here between blood DHA status and subjective sleep problems. In order to distinguish individual differences more clearly, these studies should also collect a wider range of demographic variables associated with sleep outcomes, such as waist circumference. Secondly, the results from the intervention study must be regarded as very preliminary, as benefits of DHA supplementation were found only for objective measures of sleep, and these were available only for a small subset of the RCT sample. Thirdly, it is important to emphasize that the children in the study were not selected for sleep problems, hence these results cannot be assumed to generalize to a clinically referred population. Conversely, the fact that this was a general school population sample, with 60% of children not reported to have clinical-level sleep problems at baseline, makes it all the more impressive that any treatment effects were detected. Fourthly, there were inevitably some missing data, which always requires some caution in the interpretation of findings. In the RCT, around 20% of children had missing data for one or other of the sleep measures postintervention, which is broadly in line with other studies (see, for example, Price ). A major strength of this study is its large, non-clinical sample of children, broadly representative of the more general population of UK children aged 7–9 years. Another strength is the use of fingerstick blood samples, allowing objective measurement of blood fatty acid status. In addition, sleep was assessed both subjectively (via a well-validated and age-standardized parent rating scale) in the whole sample and objectively (via actigraphy) in a subset.

Implications

The improvements in sleep found in this study may be both clinically important and comparable to the improvements achieved by current front-line interventions for child sleep problems (Edinger ; Weiss ). These kinds of improvements could, if replicated, be expected to lead to significant benefits in physical health, mood, behaviour and cognition, including educational achievement. Indeed, improvements in both behaviour and learning were found in the DOLAB RCT (Richardson ). While the actigraphy can only provide simple measures of sleep duration and timing, it seems likely that the changes observed here would normally be accompanied by qualitative improvements in sleep architecture. Further studies using polysomnography would, of course, be needed to elucidate potential mechanisms. These results are in line with the existing literature, as there are already some reports of associations between poor sleep outcomes and low blood concentrations of omega-3 LC-PUFA (Papandreou, 2013; Stevens ), as well as some preliminary research indicating benefits for sleep from fatty acid supplementation in children with behavioural problems (Yehuda ). Importantly, these findings also fit well with theoretical mechanisms, as DHA is the main omega-3 found in the brain and fatty acids are involved in sleep regulation via melatonin metabolism (Lavialle ), with increased DHA : AA ratios related directly to the increased secretion of melatonin (Peuhkuri ). This provides a potential physiological explanation for our finding that DHA supplementation improves sleep continuity and duration. As noted earlier, the epidemiology sample broadly matched the wider population of children in the United Kingdom, giving good reason to believe that the association found here between low blood DHA and sleep problems would be generalizable. By contrast, the RCT sample involved those children who were underperforming in reading (<33rd-centile), hence generalizability to the wider UK population cannot be assumed. However, the treatment effect observed in the pilot actigraphy for these children was substantial, at almost 1 h of extra sleep per night on objective measurement. The physical, mental and social benefits that would be expected to follow from such an improvement are profound. In the post-hoc subgroup with sleep problems (CSHQ > 41), the effects on the subjective total sleep disturbance score appear to be positive and in line with the actigraphy results. This is suggestive that future work in a clinical sample of children with sleep problems would be justified.

Conclusion

DHA supplementation has long been shown to be safe and well-tolerated, as we have already confirmed in this sample (Richardson ). Furthermore, we also found very low blood levels of this key fatty acid in a larger sample of healthy UK schoolchildren, indicating that omega-3 deficiencies are widespread in the general population (Montgomery ). For these reasons, further investigations of the effects of this simple nutritional intervention on child sleep are needed, ideally in both clinical and general populations.
Table 11

Full results–OLS regression model controlling for demographics: CSHQ subscale–bed resistance

Fatty acidGender (f/m)Age (years)Weight (kg)Socioeconomic status
Std coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-value
DHA (22 : 6)−0.28−0.080.052−0.07−0.070.746−0.32−0.130.017*0.03−1.100.047*1.10−0.050.009**
DPA (22 : 5)0.520.080.375−0.120.130.578−0.300.240.025*0.032.040.055*1.090.090.007**
EPA (20 : 5)−0.18−0.020.667−0.09−0.050.671−0.32−0.080.017*0.03−0.710.043*1.14−0.030.007**
ALA (18 : 3)0.090.010.839−0.090.020.66−0.320.040.018*0.030.340.048*1.140.020.007**
Total omega-3−0.05−0.020.646−0.08−0.010.695−0.32−0.030.018*0.03−0.210.044*1.13−0.010.007**
DPA (n-6) (22 : 5)0.840.040.367−0.120.210.529−0.320.390.017*0.043.290.041*1.120.140.008**
Adrenic (22 : 4)0.300.030.483−0.120.080.555−0.320.140.019*0.031.170.047*1.130.050.007**
AA (20 : 4)0.030.020.724−0.100.010.617−0.310.010.018*0.030.100.046*1.140.000.007**
DGLA (20 : 3)0.300.050.264−0.130.080.528−0.310.140.018*0.031.170.048*1.150.050.006**
GLA (18 : 3)0.090.010.848−0.100.020.648−0.320.040.018*0.030.370.047*1.140.020.007**
LA (18 : 2)0.060.070.169−0.090.010.646−0.310.030.02*0.040.220.033*1.120.010.007**
Total omega-60.040.060.2−0.120.010.56−0.310.020.02*0.040.140.035*1.130.010.007**
Omega-3 index−0.20−0.070.089−0.07−0.050.732−0.32−0.090.016*0.03−0.780.045*1.11−0.030.009**
Ratio DHA : AA−2.90−0.090.018−0.10−0.730.636−0.31−1.340.021*0.03−11.300.042*1.09−0.490.009**
Ratio EPA : AA−2.83−0.040.359−0.10−0.710.641−0.32−1.310.018*0.04−11.030.039*1.14−0.480.007**

CSHQ, Child Sleep Habits Questionnaire; OLS, ordinary least squares; ALA, α-linolenic acid; EPA, eicosapentaenoic acid; DPA, docosapentaenoic acid (both omega-3 and omega-6); DHA, docosahexaenoic acid; LA, linoleic acid; GLA, gamma-linolenic acid; DGLA, dihomo-gamma-linolenic acid; AA, arachidonic acid.

On the basis of bootstrapped standard errors, 500 repetitions, seed 14 141.

P < 0.05,

P < 0.01.

Table 12

Full results–OLS regression model controlling for demographics: CSHQ subscale–sleep onset delay

Fatty acidGender (f/m)Age (years)Weight (kg)Socioeconomic status
Std coeff.Raw coeff.P-value*Std coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-value
DHA (22 : 6)−0.04−0.030.6−0.02−0.030.8030.06−0.050.272−0.01−0.380.1730.40−0.020.000***
DPA (22 : 5)0.030.010.87−0.020.020.7620.060.030.263−0.010.250.1750.400.010.000***
EPA (20 : 5)0.210.060.313−0.030.140.7440.060.250.238−0.012.100.1480.410.090.000***
ALA (18 : 3)0.000.000.996−0.020.000.7740.060.000.267−0.01−0.010.1770.410.000.000***
Total omega-30.000.000.979−0.020.000.7740.060.000.268−0.01−0.010.1770.410.000.000***
DPA (n-6) (22 : 5)−0.41−0.050.303−0.01−0.260.9340.06−0.470.243−0.01−3.980.1330.42−0.170.000***
Adrenic (22 : 4)−0.04−0.010.825−0.02−0.030.8110.06−0.050.272−0.01−0.400.1790.41−0.020.000***
AA (20 : 4)−0.02−0.030.643−0.02−0.010.8340.06−0.020.29−0.01−0.150.1660.41−0.010.000***
DGLA (20 : 3)0.100.050.391−0.040.070.6610.060.120.254−0.011.000.1590.410.040.000***
GLA (18 : 3)0.090.030.612−0.030.060.730.060.110.266−0.010.890.1770.410.040.000***
LA (18 : 2)−0.01−0.040.455−0.02−0.010.7810.06−0.020.28−0.01−0.130.1520.41−0.010.000***
Total omega-6−0.01−0.030.551−0.02−0.010.8330.06−0.010.285−0.01−0.070.1570.410.000.000***
Omega-3 index0.000.000.949−0.020.000.7760.06−0.010.268−0.01−0.040.1770.410.000.000***
Ratio DHA : AA−0.25−0.020.709−0.02−0.160.770.06−0.280.261−0.01−2.400.1790.40−0.100.000***
Ratio EPA : AA1.490.050.38−0.020.940.8020.061.730.261−0.0114.570.1410.410.630.000***

CSHQ, Child Sleep Habits Questionnaire; OLS, ordinary least squares; ALA, α-linolenic acid; EPA, eicosapentaenoic acid; DPA, docosapentaenoic acid (both omega-3 and omega-6); DHA, docosahexaenoic acid; LA, linoleic acid; GLA, gamma-linolenic acid; DGLA, dihomo-gamma-linolenic acid; AA, arachidonic acid.

On the basis of bootstrapped standard errors, 500 repetitions, seed 14 141.

P < 0.001.

Table 13

Full results–OLS regression model controlling for demographics: CSHQ subscale–sleep duration

Fatty acidGender (f/m)Age (years)Weight (kg)Socioeconomic status
Std coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-value
DHA (22 : 6)−0.20−0.080.0760.04−0.080.798−0.06−0.140.490.00−1.160.9670.11−0.050.682
DPA (22 : 5)−0.20−0.040.4010.03−0.070.834−0.07−0.130.4780.00−1.130.9010.15−0.050.544
EPA (20 : 5)−0.20−0.030.5060.02−0.080.877−0.06−0.140.4930.00−1.160.9090.13−0.050.593
ALA (18 : 3)−0.39−0.080.0940.02−0.150.891−0.06−0.270.5070.00−2.260.8860.13−0.100.606
Total omega-3−0.15−0.100.0680.04−0.060.761−0.07−0.100.4590.00−0.870.8750.12−0.040.62
DPA (n-6) (22 : 5)0.310.020.6380.010.120.965−0.060.210.4940.001.780.8950.130.080.611
Adrenic (22 : 4)0.520.090.121−0.030.190.849−0.050.350.5410.002.980.9460.130.130.603
AA (20 : 4)0.030.030.5830.010.010.971−0.050.020.5460.000.180.9160.140.010.589
DGLA (20 : 3)0.230.060.241−0.010.090.934−0.060.160.5330.001.320.9940.150.060.568
GLA (18 : 3)0.000.000.990.020.000.895−0.060.000.5090.00−0.020.9450.130.000.597
LA (18 : 2)0.010.020.7180.020.000.898−0.060.010.520.000.060.9070.130.000.602
Total omega-60.020.040.4260.000.010.975−0.050.010.5470.000.100.870.130.000.601
Omega-3 index−0.15−0.080.1080.03−0.060.81−0.06−0.100.4820.00−0.860.9350.11−0.040.658
Ratio DHA : AA−2.16−0.100.018*0.01−0.810.921−0.05−1.480.570.00−12.470.9170.10−0.540.697
Ratio EPA : AA−2.28−0.050.3190.01−0.850.919−0.06−1.550.5110.00−13.120.8740.14−0.570.584

CSHQ, Child Sleep Habits Questionnaire; OLS, ordinary least squares; ALA, α-linolenic acid; EPA, eicosapentaenoic acid; DPA, docosapentaenoic acid (both omega-3 and omega-6); DHA, docosahexaenoic acid; LA, linoleic acid; GLA, gamma-linolenic acid; DGLA, dihomo-gamma-linolenic acid; AA, arachidonic acid.

On the basis of bootstrapped standard errors, 500 repetitions, seed 14 141.

P < 0.05.

Table 14

Full results–OLS regression model controlling for demographics: CSHQ subscale–sleep anxiety

Fatty acidGender (f/m)Age (years)Weight (kg)Socioeconomic Status
Std coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-value
DHA (22:6)−0.14−0.050.2940.03−0.050.837−0.20−0.080.048*0.02−0.710.1260.44−0.030.09
DPA (22:5)0.470.090.0630.000.150.993−0.180.280.0720.022.320.1560.420.100.104
EPA (20:5)0.240.030.6220.020.080.909−0.190.140.048*0.021.180.1330.460.050.076
ALA (18:3)0.670.110.047*0.020.220.896−0.190.400.0540.023.350.1430.470.150.066
Total omega-30.090.050.3770.010.030.956−0.190.050.0530.020.430.1370.460.020.072
DPA (n-6) (22:5)0.260.020.7220.010.080.941−0.200.150.0530.021.300.1270.450.060.081
Adrenic (22:4)0.140.020.6860.010.040.948−0.190.080.0530.020.680.1290.460.030.077
AA (20:4)0.010.010.8140.020.010.922−0.190.010.0510.020.070.1230.460.000.076
DGLA (20:3)0.030.010.890.020.010.912−0.190.020.0520.020.160.1240.460.010.077
GLA (18:3)0.590.090.077−0.010.190.95−0.190.350.0560.022.930.1260.480.130.064
LA (18:2)0.020.030.5380.020.010.899−0.190.010.0530.020.100.1070.450.000.078
Total omega-60.020.040.4340.010.010.964−0.190.010.0550.020.090.1070.450.000.077
Omega-3 index−0.07−0.030.580.03−0.020.861−0.20−0.040.046*0.02−0.340.1230.45−0.020.083
Ratio DHA:AA−1.51−0.060.1720.02−0.490.908−0.19−0.890.0610.02−7.550.1180.43−0.330.092
Ratio EPA:AA1.030.020.7670.020.330.883−0.200.610.05*0.025.150.1290.460.220.079

CSHQ, Child Sleep Habits Questionnaire; OLS, ordinary least squares; ALA, α-linolenic acid; EPA, eicosapentaenoic acid; DPA, docosapentaenoic acid (both omega-3 and omega-6); DHA, docosahexaenoic acid; LA, linoleic acid; GLA, gamma-linolenic acid; DGLA, dihomo-gamma-linolenic acid; AA, arachidonic acid.

On the basis of bootstrapped standard errors, 500 repetitions, seed 14 141.

P < 0.05.

Table 15

Full results–OLS regression model controlling for demographics: CSHQ subscale–night waking

Fatty acidGender (f/m)Age (years)Weight (kg)Socioeconomic status
Std coeff.Raw coeff.P-value*Std coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-value
DHA (22 : 6)−0.03−0.020.7570.14−0.010.235−0.10−0.030.1660.01−0.220.1530.31−0.010.136
DPA (22 : 5)0.030.010.8770.140.010.246−0.100.030.1730.010.220.1590.320.010.14
EPA (20 : 5)0.550.110.1460.130.250.259−0.090.450.190.013.810.2050.320.170.129
ALA (18 : 3)0.330.080.2790.140.150.234−0.100.270.1620.012.260.1750.320.100.124
Total omega-30.070.060.3680.130.030.278−0.100.060.1830.010.500.1710.320.020.125
DPA (n-6) (22 : 5)0.770.070.1730.110.350.338−0.110.630.1520.015.350.1070.300.230.152
Adrenic (22 : 4)0.220.040.4080.120.100.317−0.100.180.1810.011.540.150.320.070.132
AA (20 : 4)0.030.030.5070.130.010.282−0.100.020.1870.010.180.140.320.010.129
DGLA (20 : 3)−0.07−0.020.630.15−0.030.207−0.10−0.060.1630.01−0.490.1470.32−0.020.132
GLA (18 : 3)−0.010.000.9780.140.000.236−0.10−0.010.1690.01−0.040.1520.320.000.132
LA (18 : 2)0.000.000.9290.140.000.237−0.100.000.1660.01−0.010.1550.320.000.131
Total omega-60.010.020.7470.140.000.262−0.100.000.1750.010.040.1410.320.000.131
Omega-3 Index0.030.020.7130.140.020.252−0.100.030.170.010.240.1530.320.010.123
Ratio DHA : AA−0.60−0.030.5230.14−0.270.237−0.10−0.490.1790.01−4.160.1470.31−0.180.141
Ratio EPA : AA3.560.090.230.151.600.21−0.102.930.1620.0124.710.2140.311.070.137

CSHQ, Child Sleep Habits Questionnaire; OLS, ordinary least squares; ALA, α-linolenic acid; EPA, eicosapentaenoic acid; DPA, docosapentaenoic acid (both omega-3 and omega-6); DHA, docosahexaenoic acid; LA, linoleic acid; GLA, gamma-linolenic acid; DGLA, dihomo-gamma-linolenic acid; AA, arachidonic acid.

On the basis of bootstrapped standard errors, 500 repetitions, seed 14 141.

Table 16

Full results–OLS regression model controlling for demographics: CSHQ subscale–parasomnia

Fatty acidGender (f/m)Age (years)Weight (kg)Socioeconomic status
Std coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-value
DHA (22 : 6)−0.28−0.080.1310.30−0.070.111−0.25−0.130.03*0.01−1.110.4760.75−0.050.039*
DPA (22 : 5)0.710.110.043*0.240.190.192−0.230.340.054*0.012.850.580.730.120.041*
EPA (20 : 5)1.480.160.007**0.260.380.168−0.230.700.043*0.015.930.6450.790.260.024*
ALA (18 : 3)−0.020.000.9640.28−0.010.137−0.25−0.010.034*0.01−0.080.4580.790.000.029*
Total omega-30.070.030.5650.270.020.159−0.250.040.035*0.010.290.4830.800.010.027*
DPA (n-6) (22 : 5)0.810.040.3770.250.210.198−0.250.380.03*0.013.230.3810.770.140.033*
Adrenic (22 : 4)−0.06−0.010.8870.29−0.020.141−0.25−0.030.034*0.01−0.240.460.79−0.010.029*
AA (20 : 4)0.000.000.9630.280.000.153−0.250.000.035*0.010.010.4610.790.000.029*
DGLA (20 : 3)0.190.030.4550.260.050.182−0.250.090.035*0.010.740.490.800.030.027*
GLA (18 : 3)−0.010.000.9740.280.000.15−0.25−0.010.032*0.01−0.050.460.790.000.028*
LA (18 : 2)−0.04−0.050.3260.28−0.010.139−0.25−0.020.029*0.01−0.170.5810.81−0.010.026*
Total omega-6−0.01−0.020.6530.290.000.137−0.25−0.010.031*0.01−0.050.5140.790.000.028*
Omega-3 index−0.03−0.010.8390.28−0.010.137−0.25−0.020.032*0.01−0.130.4570.79−0.010.031*
Ratio DHA : AA−2.66−0.090.0920.28−0.690.149−0.24−1.260.042*0.01−10.640.430.75−0.460.038*
Ratio EPA : AA11.460.160.007**0.302.970.108−0.255.430.029*0.0045.880.7240.781.980.027*

CSHQ, Child Sleep Habits Questionnaire; OLS, ordinary least squares; ALA, α-linolenic acid; EPA, eicosapentaenoic acid; DPA, docosapentaenoic acid (both omega-3 and omega-6); DHA, docosahexaenoic acid; LA, linoleic acid; GLA, gamma-linolenic acid; DGLA, dihomo-gamma-linolenic acid; AA, arachidonic acid.

On the basis of bootstrapped standard errors, 500 repetitions, seed 14 141.

P < 0.05,

P < 0.01.

Table 17

Full results–OLS regression model controlling for demographics: CSHQ subscale–sleep disturbed breathing

Fatty acidGender (f/m)Age (years)Weight (kg)Socio-economic status
Std coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd Coeff.Raw Coeff.P-valueStd Coeff.Raw Coeff.P-value
DHA (22 : 6)−0.07−0.040.4470.18−0.040.048*0.00−0.070.9850.01−0.550.3210.13−0.020.388
DPA (22 : 5)0.310.100.0560.160.170.0730.010.310.8750.012.580.3650.120.110.45
EPA (20 : 5)0.000.000.9960.170.000.0510.000.000.9980.01−0.010.3150.140.000.347
ALA (18 : 3)−0.13−0.040.3470.17−0.070.0520.00−0.130.9950.01−1.070.2970.14−0.050.355
Total omega-30.000.000.9730.170.000.0550.000.000.9990.010.010.3110.140.000.347
DPA (n-6) (22 : 5)−0.22−0.020.7190.18−0.120.0550.00−0.210.9810.01−1.810.3620.15−0.080.328
Adrenic (22 : 4)0.290.070.2260.150.160.1260.000.290.9680.012.410.3080.140.100.355
AA (20 : 4)0.020.030.6540.160.010.0850.000.020.9610.010.160.3090.140.010.344
DGLA (20 : 3)−0.08−0.030.5670.18−0.040.044*0.00−0.070.9820.01−0.630.2920.14−0.030.359
GLA (18 : 3)−0.14−0.040.3530.18−0.080.047*0.00−0.140.9890.01−1.190.3080.14−0.050.365
LA (18 : 2)−0.02−0.040.5880.17−0.010.0510.00−0.020.9730.01−0.130.3770.15−0.010.332
Total omega-60.00−0.010.8350.180.000.060.000.000.9830.01−0.030.3490.140.000.344
Omega-3 index−0.04−0.030.5340.18−0.020.049*0.00−0.040.9820.01−0.350.3120.14−0.020.373
Ratio DHA : AA−0.83−0.060.2890.17−0.450.0540.00−0.820.960.01−6.910.3060.13−0.300.401
Ratio EPA : AA−0.130.000.9440.17−0.070.0550.00−0.130.9980.01−1.060.320.14−0.050.346

CSHQ, Child Sleep Habits Questionnaire; OLS, ordinary least squares; ALA, α-linolenic acid; EPA, eicosapentaenoic acid; DPA, docosapentaenoic acid (both omega-3 and omega-6); DHA, docosahexaenoic acid; LA, linoleic acid; GLA, gamma-linolenic acid; DGLA, dihomo-gamma-linolenic acid; AA, arachidonic acid.

On the basis of bootstrapped standard errors, 500 repetitions, seed 14 141.

P < 0.05.

Table 18

Full results–OLS regression model controlling for demographics: CSHQ subscale–day sleepiness

Fatty acidGender (f/m)Age (years)Weight (kg)Socioeconomic status
Std coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-valueStd coeff.Raw coeff.P-value
DHA (22 : 6)−0.32−0.060.225−0.83−0.050.004**0.37−0.100.0530.00−0.810.9971.17−0.040.019*
DPA (22 : 5)0.540.050.463−0.890.090.003**0.390.160.042*0.001.380.9571.160.060.015*
EPA (20 : 5)0.050.000.948−0.860.010.003**0.370.020.048*0.000.130.9911.210.010.014*
ALA (18 : 3)−0.17−0.010.789−0.86−0.030.003**0.37−0.050.047*0.00−0.420.9761.21−0.020.014*
Total omega-3−0.06−0.020.741−0.85−0.010.004**0.37−0.020.0520.00−0.160.9741.21−0.010.014*
DPA (n-6) (22 : 5)0.400.010.781−0.880.070.004**0.370.120.049*0.001.020.9561.200.040.015*
Adrenic (22 : 4)−0.29−0.020.64−0.83−0.050.005**0.37−0.090.050.00−0.750.9871.22−0.030.014*
AA (20 : 4)0.000.000.993−0.860.000.004**0.370.000.0510.000.000.9881.210.000.014*
DGLA (20 : 3)0.200.020.661−0.880.030.003**0.370.060.046*0.000.500.9891.220.020.013*
GLA (18 : 3)0.070.010.914−0.860.010.003**0.370.020.047*0.000.170.9881.220.010.014*
LA (18 : 2)−0.03−0.020.658−0.86−0.010.003**0.37−0.010.0510.00−0.080.9641.220.000.013*
Total omega-6−0.01−0.020.779−0.850.000.004**0.370.000.0530.00−0.030.9871.220.000.013*
Omega-3 index−0.20−0.050.351−0.84−0.030.004**0.37−0.060.0540.00−0.510.9811.18−0.020.017*
Ratio DHA : AA−3.06−0.060.185−0.87−0.510.003**0.38−0.930.042*0.00−7.820.9691.16−0.340.019*
Ratio EPA : AA−1.03−0.010.864−0.86−0.170.003**0.37−0.310.049*0.00−2.620.9731.21−0.110.014*

CSHQ, Child Sleep Habits Questionnaire; OLS, ordinary least squares; ALA, α-linolenic acid; EPA, eicosapentaenoic acid; DPA, docosapentaenoic acid (both omega-3 and omega-6); DHA, docosahexaenoic acid; LA, linoleic acid; GLA, gamma-linolenic acid; DGLA, dihomo-gamma-linolenic acid; AA, arachidonic acid.

On the basis of bootstrapped standard errors, 500 repetitions, seed 14 141.

P < 0.05,

P < 0.01.

  40 in total

1.  Sleepless in America: inadequate sleep and relationships to health and well-being of our nation's children.

Authors:  Arlene Smaldone; Judy C Honig; Mary W Byrne
Journal:  Pediatrics       Date:  2007-02       Impact factor: 7.124

Review 2.  Omega-3 fatty acids in ADHD and related neurodevelopmental disorders.

Authors:  Alexandra J Richardson
Journal:  Int Rev Psychiatry       Date:  2006-04

3.  Actigraphic and parent reports of sleep patterns and sleep disorders in children with subtypes of attention-deficit hyperactivity disorder.

Authors:  Luci Wiggs; Paul Montgomery; Gregory Stores
Journal:  Sleep       Date:  2005-11       Impact factor: 5.849

4.  Sleep hygiene and melatonin treatment for children and adolescents with ADHD and initial insomnia.

Authors:  Margaret D Weiss; Michael B Wasdell; Melissa M Bomben; Kathleen J Rea; Roger D Freeman
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2006-05       Impact factor: 8.829

5.  Sleep in children with attention-deficit/hyperactivity disorder: meta-analysis of subjective and objective studies.

Authors:  Samuele Cortese; Stephen V Faraone; Eric Konofal; Michel Lecendreux
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2009-09       Impact factor: 8.829

Review 6.  The function of very long chain polyunsaturated fatty acids in the pineal gland.

Authors:  Angel Catalá
Journal:  Biochim Biophys Acta       Date:  2009-10-30

Review 7.  Sleep disordered breathing in infants and children: a review of the literature.

Authors:  John R Ivanhoe; Carol A Lefebvre; John W Stockstill
Journal:  Pediatr Dent       Date:  2007 May-Jun       Impact factor: 1.874

8.  An (n-3) polyunsaturated fatty acid-deficient diet disturbs daily locomotor activity, melatonin rhythm, and striatal dopamine in Syrian hamsters.

Authors:  Monique Lavialle; Gaëlle Champeil-Potokar; Jean Marc Alessandri; Laure Balasse; Philippe Guesnet; Catherine Papillon; Paul Pévet; Sylvie Vancassel; Berthe Vivien-Roels; Isabelle Denis
Journal:  J Nutr       Date:  2008-09       Impact factor: 4.798

9.  Algorithms for sleep-wake identification using actigraphy: a comparative study and new results.

Authors:  Joëlle Tilmanne; Jérôme Urbain; Mayuresh V Kothare; Alain Vande Wouwer; Sanjeev V Kothare
Journal:  J Sleep Res       Date:  2009-03       Impact factor: 3.981

10.  Validation of a rapid measure of blood PUFA levels in humans.

Authors:  Eileen Bailey-Hall; Edward B Nelson; Alan S Ryan
Journal:  Lipids       Date:  2007-12-15       Impact factor: 1.880

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  28 in total

1.  Docosahexaenoic Acid and Arachidonic Acid Supplementation and Sleep in Toddlers Born Preterm: Secondary Analysis of a Randomized Clinical Trial.

Authors:  Kelly M Boone; Joseph Rausch; Grace Pelak; Rui Li; Abigail Norris Turner; Mark A Klebanoff; Sarah A Keim
Journal:  J Clin Sleep Med       Date:  2019-09-15       Impact factor: 4.062

2.  Dietary Macronutrients and Sleep.

Authors:  Glenda Lindseth; Ashley Murray
Journal:  West J Nurs Res       Date:  2016-05-11       Impact factor: 1.967

3.  Long-chain omega-3 fatty acids, selenium, and mercury in relation to sleep duration and sleep quality: findings from the CARDIA study.

Authors:  Yijia Zhang; Cheng Chen; Juhua Luo; Daniel T Dibaba; Alyce D Fly; David M Haas; James M Shikany; Ka Kahe
Journal:  Eur J Nutr       Date:  2021-09-19       Impact factor: 5.614

4.  Omega-3 Index and Obstructive Sleep Apnea: A Cross-Sectional Study.

Authors:  Janine Tittus; Marie Theres Huber; Klaus Storck; Anton Köhler; Jan M Köhler; Thomas von Arnim; Clemens von Schacky
Journal:  J Clin Sleep Med       Date:  2017-10-15       Impact factor: 4.062

5.  Polyunsaturated fatty acids moderate the effect of poor sleep on depression risk.

Authors:  Francis E Lotrich; Barry Sears; Robert K McNamara
Journal:  Prostaglandins Leukot Essent Fatty Acids       Date:  2015-11-10       Impact factor: 4.006

6.  Plasma DHA Is Related to Sleep Timing and Duration in a Cohort of Mexican Adolescents.

Authors:  Erica C Jansen; Deirdre A Conroy; Helen J Burgess; Louise M O'Brien; Alejandra Cantoral; Martha María Téllez-Rojo; Karen E Peterson; Ana Baylin
Journal:  J Nutr       Date:  2020-03-01       Impact factor: 4.798

7.  Sleep and physical activity in healthy 8-9-year-old children are affected by oily fish consumption in the FiSK Junior randomized trial.

Authors:  Lotte Lauritzen; Camilla T Damsgaard; Stine Vuholm; Marie N Teisen; Christian Mølgaard
Journal:  Eur J Nutr       Date:  2021-01-30       Impact factor: 5.614

8.  Associations of Dietary ω-3, ω-6 Fatty Acids Consumption with Sleep Disorders and Sleep Duration among Adults.

Authors:  Jia Luo; Honghan Ge; Jing Sun; Kangyu Hao; Wenqin Yao; Dongfeng Zhang
Journal:  Nutrients       Date:  2021-04-27       Impact factor: 5.717

9.  A protocol for a randomised controlled trial investigating the effect of increasing Omega-3 index with krill oil supplementation on learning, cognition, behaviour and visual processing in typically developing adolescents.

Authors:  I S M van der Wurff; C von Schacky; K Berge; P A Kirschner; R H M de Groot
Journal:  BMJ Open       Date:  2016-07-08       Impact factor: 2.692

10.  Omega-3 long-chain polyunsaturated fatty acid and sleep: a systematic review and meta-analysis of randomized controlled trials and longitudinal studies.

Authors:  Ying Dai; Jianghong Liu
Journal:  Nutr Rev       Date:  2021-07-07       Impact factor: 7.110

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